Reviewerly/exHarmony huggingface dataset:
Modeling Word Learning and Processing with Recurrent Neural Networks

The paper focuses on what two different types of Recurrent Neural Networks, namely a recurrent Long Short-Term Memory and a recurrent variant of self-organizing memories, a Temporal Self-Organizing Map, can tell us about speakers’ learning and processing a set of fully inflected verb forms selected from the top-frequency paradigms of Italian and German. Both architectures, due to the re-entrant layer of temporal connectivity, can develop a strong sensitivity to sequential patterns that are highly attested in the training data. The main goal is to evaluate learning and processing dynamics of verb inflection data in the two neural networks by focusing on the effects of morphological structure on word production and word recognition, as well as on word generalization for untrained verb forms. For both models, results show that production and recognition, as well as generalization, are facilitated for verb forms in regular paradigms. However, the two models are differently influenced by structural effects, with the Temporal Self-Organizing Map more prone to adaptively find a balance between processing issues of learnability and generalization, on the one side, and discriminability on the other side.
PENGEMBANGAN MEDIA PEMBELAJARAN GEOGRAFI BERBENTUK PERMAINAN ULAR TANGGA BERBANTUAN LEAFLET DI SMA DWIJENDRA DENPASAR

This research aimed to develop geography learning media in the form of snake ladder game assisted by leaflet, analyzing the effectiveness to activity and students learning achievement. This research used development (R&amp;D) research design with analysis, design, development, implementation, evaluation (ADDIE). The students learning activity data were collected through observation, besideds, the students learning achievement were collected through multiple choice test. The data collected then analyzed descriptively and quantitatively. The final design of geography learning media in the form of snake ladder game assisted by leaflet was geography learning media based on the evaluation : 1) material and media expert valid average score 3,18; 2) small grup trials valid average score 3,69 the data were reasonably used. The geography learning media in the form of snake ladder game assisted by leaflet effectively improved the learning activity equal to 15,36% and effectively improved the students learning achievement with the level of completeness of student learning achievement at 91,43% with fine category.
Verification of a labor market domain using an academic crowdsourcing system

Students desiring to become a valuable good in the labor market are willing to pay a considerable monetary cost to obtain knowledge about their prospective job opportunities, nowadays with a diminishing interest in the obtainment of a diploma. Considering the behavior of the labor market as a domain theory under uncertainty, it is straightforward to expect the presence of contradictions, in the form of salaries unable to be classified due to high inconsistency and variation. We provide an algorithm to verify a labor market domain theory based on a crowdsourcing academic system, in which feedback about possible contradictions is generated as a result of consultations with experts inside of the market and clustered into different contexts. We found that the verification process can be repeated iteratively as long as the students’ overall tuition is equal or greater than a quantity partially defined by the number of different profiles of the students.
COLLECTION MANAGEMENT OF ELECTRONIC RESOURCES IN NIT CALICUT LIBRARY:AN ANALYTICAL STUDY

The purpose of the study is to know the collection management of e-resources in NITC library. Data for this study was collected through distributing questionnaire to the research scholars and faculties of the institution who forms the sample and interview method was conducted with librarian of NITC library. The interview schedule contains details about collection management of e-resources and the questionnaires contain questions which show users attitudes towards e-resources provided by the library. The answers from the questionnaire and interview were analyzed and findings were made. The main result of the study reveals that librarian while managing e-resources faces fewer challenges like maintenance issue and does not face major challenges like budget issue or license issue which shows the proper management of e-resources. Majority of research scholars and faculties of the institution doesn’t say anything about problems or barriers while using e-resources, this shows the level of user satisfaction of e-resources provided by the library.
METODE MENULIS BERANTAI UNTUK MENINGKATKAN MOTIVASI DAN KETERAMPILAN MENULIS PANTUN SISWA

&lt;em&gt;In writing pantun ‘Indonesian rhymes’ there are certain rules which become a source of difficulty for students, such as taxation, syllable numbers, number of words, number of sentences, so that not all students are interested and motivated to do the pantun writing task. For this reason, learning should be fun and motivating each other through chain writing. This research is a classroom action research to improve motivation and writing skills of students in class VIIA SMP Negeri 1 Kebakkramat. The research action was carried out in two cycles. To analyze the data used comparative descriptive statistical analysis techniques and critical analysis. The results showed that the application of the chain writing method increased motivation and pantun writing skills. This improvement can be done with the following learning procedures: (1) the class is divided into 8 groups, each consisting of 4 students; (2) students and teachers determine the theme of pantun; (3) students and group members make pantun, (4) students make the first row of pantun; (5) the second student makes one next line and the next line is continued by other students in the group until a complete pantun is formed; (6) at the end of each line students write the initials to mark the name of the author; (7) students and their groups make revisions; (8) rhymes are then read in turn by group members; and (9) teachers and other groups assess the pantun read.&lt;/em&gt;
KOMPARASI HASIL TERJEMAHAN GOOGLE TRANSLATE DAN BING TRANSLATOR DALAM MENERJEMAHKAN HEDGING WORDS

&lt;table width="593" border="1" cellspacing="0" cellpadding="0"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td valign="top" width="387"&gt;&lt;p&gt;This study aims to explain the comparison of the translation results of two translation machines, Google Translate and Bing Translator. The object of this research is the hedging words contained in one of the opinions in The Jakarta Post's online newspaper entitled Why Indonesians should write about Indonesia in English more often. The types of hedges that appear in the article and become the object of research are in four types, namely: lexical verb, modal auxiliary verb, compound hedges, and adverb of frequency. From the analysis conducted, the writer found that the translation of hedging words with two translation machines assisted different results of the translation are identical. The method used by the two translation machines is literal translation so that the form and meaning of the source text is equivalent to the form and meaning of the target text. The author believes that the artificial intelligence developed in those two translation machines has different abilities and can be proven by research with wider and more varied sentence objects.&lt;/p&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;
Submission of Electronic Evidence in General Crimes and Special Crimes

In the case of Proof, there are several provisions governing evidence related to the provisions of the statutory provisions and are used by judges to prove what is being wrongly accused based on the applicable law and the judge's own conviction.Article 184 of the Criminal Procedure Code, regulates legal evidence, including witness statements, expert statements, letters, instructions and statements of the defendant.In accordance with what has been regulated in Article 184 of the Criminal Procedure Code, it can be said that the submission of evidence in the form of electronic documents in a general criminal case or special criminal case can be used as legal evidence, this can be seen by the expansion of the evidence contained in Article 5 paragraph (1) of the Information and Electronic
Pemanfaatan Pembangkit Listrik Tenaga Surya Pada Gedung Bertingkat

Solar Power Plant is one of the New Renewable Energy power plants. Solar panels can produce unlimited amounts of electrical energy directly taken from the sun, with no rotating parts and no fuel. In this study are optimize solar power plants using hybrid systems with electricity companies and the use of semi-transparent solar panels in high rise buildings to meet the burden of the building. The research will discussed about use of solar power plants using semi-transparent solar panels in multi-storey buildings. The solar panel used for the facade is a semi-transparent solar panel makes its function become two, that is to produce electrical energy as well as glass through which sunlight and can see the view outside the building without reducing the building's aesthetic value. In this study is the value of solar radiation taken from west is the lowest value in November 1.4 Kwh can produce energy PLTS 3,855 Kwh and the highest solar radiation in July amounted to 3.75 Kwh can produce energy PLTS 10.331 Kwh. From the utilization of this PLTS system, Performance Ratio of 85% was obtained using study of 36 panels on the 3rd to 5th floors, this system can be said to feasible.&#x0D;
An efficient deep face matching method for ID and selfie photos: SIRFace

User authentication using face biometrics has been becoming popular in many administrative activities (e.g., airport check-in, banking security systems, immigration managements, etc.). In this process, the facial image taken from an authorized document (e.g., identity (ID) card, passport, driving license) is compared to the live face that captured directly by stationary camera or human eyes to check whether they are matched as the same person. The problem is really challenging due to cross-domain difference including age changes, low document quality, and accessories. Recently, a few efforts have been made to build automatic face matching systems based on face recognition technologies. In this paper, we proposed a novel and efficient deep face matching system called SIRFace, which is derived from the RetinaFace detection model, InsightFace embedding model, and SVM classifier. SIRFace also contributed an efficient technique using Cosine similarity to mitigate the impacts of the cross-domain difference, which has not been used in any other related works. The experimental results on a dataset of 2,865 subjects with 9,824 images (i.e., ID and selfie photos) using our method achieved an error rate of 2.34%, which is potentially used for real life applications.
ONLINE EXAMINATION WITH FACE RECOGINATION

In this paper, we present a benchmark of the Local Binary Patterns Histogram (LBPH) algorithm together with Open CV and Python.We wanted to indicate that these techniques are often used for a realtime application.The most a part of this work will describe the architecture similarly because the implementation of the detection and recognition application.
SCIENTIFIC INFORMATION AND THE DIGITAL KNOWLEDGE SPACE: STATEMENT OF THE PROBLEM FOR RUSSIA

Trends in the development of scientific communication and questions are formulated, the answers to which should determine the image of the future of scientific communication in Russia. An overview of government decisions and projects in recent years related to the development of scientific information is offered. Among them are the President’s instructions, the draft law «On science and scientific policy», the creation of the National electronic library and the Single Russian electronic knowledge space and the National encyclopedia portal. The concepts of digital science development developed in the Ministry of education and science are analyzed in detail. It is claimed that their provisions do not correspond to the real state of Affairs in Russian scientific information systems. Proposing an action plan aimed at creating a Single digital space of scientific knowledge as the successor to GSNTI or the national system of scientific information as a separate fragment, Single Russian electronic knowledge spaces. The principles that can be used as the basis for a Single digital space of scientific knowledge are formulated.
EVALUATION IN NEWS TEXTS IN UNIVERSITAS SEBELAS MARET’S OFFICIAL WEBSITE

&lt;p id="docs-internal-guid-415f60c0-7fff-f978-3c47-f42704f04796" dir="ltr"&gt;&lt;span&gt;The digital era and internationalization of higher education has led to the emergence of novel uses of new media such as the website where new higher education discourses emerge. This study examines the realization of evaluative language in English news texts in a university official website in the context of higher education. Using the Appraisal framework, this study attempts to identify lexicogrammatical resources construing attitude and graduation in eight news texts published in the official website of UNS from January to February 2019. The selected texts cover key news topics, namely reports of achievements, events, and a feature of a university facility. The findings show that attitudinal resources and its graduation are present in the news texts to create a positive image for UNS. Appreciation as the most prevalent type of attitude works to invoke positive judgement of capacity alongside inscribed judgement and affect to relay the image of UNS as a capable university. The study found that, while still following the structure of news texts, news writers for UNS’ official websites use various attitudinal resources in a complex system of prosody-creation to develop positive judgement towards the university’s capacity.&lt;/span&gt;&lt;/p&gt;
Evaluation of a Framework for Visual-Feedback Training Based on a Modified Self-Organizing Map Using Sensing Information Including Muscle Activity

In this research, we propose a visual-feedback system and evaluate it based on motion-sensing and computational technologies. This system will help amateur athletes imitate the motor skills of professionals. Using a self-organizing map (SOM) to visualize high-dimensional time-series motion data, we recorded the cyclic motion information, including the muscle activities, of a male subject as he pedaled a bicycle ergometer. To clarify the difference between the subject&rsquo;s motor skill and the target motor skill in a cyclic movement, we used the modified SOM algorithm; a visual-feedback system was developed, which displayed the target motion as a circular trajectory on a two-dimensional motor skills map. The subject trained by observing only the displayed static target trajectory; the subject&rsquo;s real-time trajectory was constructed from the subject&rsquo;s real-time motion. We validated our proposed framework for the visual-feedback system by evaluating the motion performance of a subject using feedback training.
Benign breast disease in rural population attending tertiary hospital: An epidemiological study

Background: Various types of lesion from inflammation to carcinoma can affect the breast.Some lesions are common in young females while others are more common in elderly age group.Early presentation and prompt diagnosis is essential to relieve anxiety of non-neoplastic conditions.Methods: The study conducted on all outpatients and inpatients who presented with a breast lump, from all units of the Department of Pathology in Great Eastern Medical School & Hospital, Ragolu, Srikakulam during December 2017 to December 2018.It is a cross sectional study with 78 patients as sample size.Results: In the study out of 78 patients with benign breast disease, the majority were within 21 to 25 years age group.On FNAC maximum patients, i.e. 74.4% were diagnosed of Fibroadenoma, 7.7% as fibroadenosis, 15.4% as Galactocele and 2.6% as either to be an epidermal cyst or sebaceous cyst.On histopathological examination, 74.4% had Fibroadenoma, 7.7% had fibroadenosis, 15.4% had Galactocele, and 2.6% had a sebaceous cyst.Conclusion: Most cases of breast lump are benign, but most of these patients are in a state of heightened anxiety.Hence, Awareness about the benign breast diseases and diagnostic tools such as USG and FNAC would help in the proper resolution of the breast lump and better outcomes.
New Assistance Site for Recommendation using Collaborative Filtering and Authenticate User using Face Detection

Virtual assistants, conjointly called intelligent colloquial systems like Google's Virtual Assistant and Apple's Siri, act with human-like responses to users' queries and end specific tasks. The previous recommendation systems model users' evolving, numerous and multi-aspect preferences to get recommendations in numerous domains/applications, about to improve the citizens' everyday life by creating suggestions. The repertoire of actions is not any longer restricted to the one-shot presentation of advice lists, which might be scant once the goal is to supply call support for the user, by quickly getting to his/her choice preference through conversations. Such an Associate in Nursing interactive mechanism is presently missing from recommendation systems. during this paper, we tend to develop an Associate in Nursing product to help websites that show merchandise to users on the idea of cooperative filtering and Trending. For authenticating the user's exploitation face detection techniques. and eventually, apply 2 varieties of product search are text and voice.
Parallelism and Hybridization in Differential Evolution to solve the Flexible Job Shop Scheduling Problem

Flexible Job Shop Scheduling Problem (FJSP) is one of the most challenging combinatorial optimization problems, with practical applicability in a real production environment. In this work, we propose a simple Differential Evolution (DE) algorithm to tackle this problem. To represent an FJSSP solution, a real value representation is adopted, which requires a very simple conversion mechanism to obtain a feasible schedule. Consequently, the DE algorithm still works on the continuous domain to explore the problem search space of the discrete FJSSP. Moreover, to enhance the local searchability and to balance the exploration and exploitation capabilities, a simple local search algorithm is embedded in the DE framework. Also, the parallelism of the DE operations is included to improve the efficiency of the whole algorithm. Experiment results confirm the significant improvement achieved by integrating the propositions introduced in this study. Additionally, test results show that our algorithm is competitive when compared with most existing approaches for the FJSSP.
Perbandingan Antara SQLite, Room, dan RBDLiTe Dalam Pembuatan Basis Data pada Aplikasi Android

Android is one of the largest mobile operating system platforms today. Amid the ever-increasing needs of users, Android programmers are still lacking to meet the current market needs. One of the problems that causes this is the difficulty of creating an internal database, so many people give up to learn to make Android applications. Android's internal database is hard to create because the entire data structure on that database should be built with the query executed in the created program code. Some of the common internal databases currently used are SQLiTe and Room. Both databases are quite difficult to learn where SQLite should build everything from scratch while Room should study the structure and systematics of of the library. Therefore, in this article, the author proposes library and template named "Relational Database Library and Template" which will be referred to as RBDLiTe which can create an internal database for Android applications easily which will also be compared with SQLiTe and Room in its use.
Research on the Application of AI Intelligent Adaptation System in Primary and Secondary School Learning Process

With the continuous breakthrough of science and technology, the field of education has been affected to a certain extent. AI intellectual adaptation education is the biggest breakthrough in the field of education. AI intelligent adaptive learning system presents a complete process of intelligent adaptive learning, forming a five-in-one learning mode of "testing, learning, training, and testing and assisting." Generally speaking, the learning process of primary and secondary schools is divided into three stages: "preparation pre class, learning in class and review after class." Applying AI adaptive learning system to the learning process can significantly improve the accuracy of knowledge acquisition, enhance students' interest, improve learning efficiency, greatly reduce learning burden, and make learning more effective.
Analysis of Text Mining from Full-text Articles and Abstracts by Postgraduates Students in Selected Nigeria Universities

Purpose: This study analysed text mining from full-text articles and abstracts by postgraduate students in selected Nigeria universities.Design/methodology/approach: The study adopted a survey research design using a questionnaire as the instrument for data collection from 357 postgraduate students drawn using Raosoft sample size calculator. Six research questions were developed and answered.Finding: The findings demonstrate that postgraduate students mined texts from full texts articles mostly to write a dissertation, for personal academic development and to prepare research seminars. It also revealed that postgraduate students mined texts from abstracts majorly to write dissertations and prepare for research seminars; postgraduate students mined texts using information extraction technique, information retrieval technique, and summarization. The texts are mined mostly form PDF format, followed by Microsoft word format and HTML format (Web pages). Postgraduate students prefer mining texts from full-text articles than from abstracts and the sources postgraduate students mostly mine text is through the World Wide Web, followed by library databases.Research limitations/implications: The current study only used a questionnaire, a self-reported survey to collect data from the respondents of the study. Including other data collection instruments such as interviews would provide a holistic view of the data mining scenario from both the full-text articles and abstracts among the postgraduate students in Nigerian universities and this would make the generalisation of the study findings easier and more worthwhile.Originality/value: Research on data mining either from full-text articles or abstracts were predominantly conducted in Advance countries. This study seems to be one of the pioneer studies in this area in Nigeria and Africa as a whole. It is the original idea by the author; and it is assumed that understanding the nature and context-related information in data mining by the postgraduate students is an original idea.