Reviewerly/exHarmony huggingface dataset:
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN TEMPAT KOST DENGAN METODE ANALYTICAL HIERARCHY PROCESS

Boarding House or Kost, is one type of accommodations that is currently needed especially for students who do education outside their home town. Because of the large selection of boarding places available sometimes make students confused to choose it. One way to solve the problem is by having a method that can provide recommendations as a consideration for appropriate decision making.  This research aims to create a system supporting boarding place selection decisions by applying analytical hierarchy process method that can solve problems by comparing places of boarding with each other. In this study, poltekba students as a research sample. The measures in this study are the preparation of criteria such as facilities, cost, security, environment around the boarding house area, and distance and then give value according to the results of the questionnaire, then create a comparison matrix in pairs. The results of this study are Kos Fatoni Arkhan which has a priority value of 0.581 or 58%, followed by Kost Bangsaku Satu with a value of 0.250 or 25%, then Kost Ibu Sukhoi with a value of 0.124or 12%, as well as Kost Bangun Reksa Asri with a value of 0.045 or 5%.
THE INFLUENCE OF COOPERATIVE LEARNING TECHNIQUE AND READING INTEREST TOWARDS THE EIGHTH GRADE STUDENTSâ€™ READING COMPREHENSION ON RECOUNT TEXT OF SMPN 48 PALEMBANG

Abstract This research is concerned with the influence of cooperative learning technique and reading interest towards the eight grade studentsâ€™ reading comprehension on recount text of SMPN 48 Palembang. In this study 60 students of eighth grade students of SMPN 48 in the academic year 2017/2018 were chosen as samples by means of two stage random sampling. This study applied factorial research design. The data were collected by using questionnaires and t-test. The data were analyzed by using Paired Sample t-test, Independent Sample t-test and Two Ways Anova. The results showed that, first, there was a significant difference in reading comprehension the students who have high reading interest and those who have low reading interest taught using cooperative learning technique of SMPN 48 Palembang. Second, there was not any significant difference in reading comprehension the students who have high reading interest and those who have low reading interest taught by traditional teaching method of SMPN 48 Palembang. Third, there was a significant difference in reading comprehension the students who have high reading interest and those who have low reading interest taught using cooperative learning technique and traditional teaching method of SMPN 48 Palembang. Lastly, there were not any significant interaction effects of cooperative learning technique and reading interest towards the studentsâ€™ reading comprehension of SMPN 48 Palembang. Conclusion suggests that there were significant influences of cooperative learning technique and reading interest the eighth grade studentsâ€™ reading comprehension on recount text of SMPN 48 Palembang. Keywords: Cooperative Learning Technique, Traditional Teaching Method, Reading Interest, Reading Comprehension.
Deep learning with transfer functions: new applications in system identification

This paper presents a linear dynamical operator described in terms of a rational transfer function, endowed with a well-defined and efficient back-propagation behavior for automatic derivatives computation. The operator enables end-to-end training of structured networks containing linear transfer functions and other differentiable units {by} exploiting standard deep learning software. Two relevant applications of the operator in system identification are presented. The first one consists in the integration of {prediction error methods} in deep learning. The dynamical operator is included as {the} last layer of a neural network in order to obtain the optimal one-step-ahead prediction error. The second one considers identification of general block-oriented models from quantized data. These block-oriented models are constructed by combining linear dynamical operators with static nonlinearities described as standard feed-forward neural networks. A custom loss function corresponding to the log-likelihood of quantized output observations is defined. For gradient-based optimization, the derivatives of the log-likelihood are computed by applying the back-propagation algorithm through the whole network. Two system identification benchmarks are used to show the effectiveness of the proposed methodologies.
Subject Guides: CRJ 468/568: Criminology: Write Your Research Paper

Research Guide for the CRJ 468/568: Criminology course Guidelines and instructions for writing effective research papers
Implementing Warehouse Management System in Stationery Store

Happy Stationery is a Stationery Store which located in Komplek Tanjung Pantun, Batam. The Company has inventory issue, because they record the product information with paper-based and unstructured excel. Warehouse Management System is a management job that is to organize warehousing problems.  In this research, data collection was done by authors by in the form of interviews and observations. And we use SDLC as Development Methodologies. The result of this research was Web Based system which can fullfill the user requirement. this research shows that the implementation of warehouse management system has improved the inventory management process in the store
Autonomous Deep Learning

In a previous paper, I introduced a new model of Artificial Intelligence rooted in information theory that can solve essentially any machine learning or deep learning problem in low-degree polynomial time. In this paper, I'm going to introduce an application called Prometheus that consolidates this model into a simple GUI interface that allows for totally autonomous machine learning and deep learning. The user simply selects the training data, testing data, and Prometheus autonomously generates models and predictions using a single core learning algorithm, with no further input from the user. I'll demonstrate the generality of Prometheus by applying it to basic machine learning using a UCI dataset, and a deep learning video classification problem, where Prometheus will distinguish between someone waving their left hand and their right hand.
Big Data Analysis Applied for Short Term Solar Irradiance Forecasting

An improvement of accuracy in Forecasting of Solar Weather requires more specific parameters. Parametersthat are feasible to implement and the collected data to be ready to be blended and becauseof this, theparameters need to be easy to use and its of prime importance that it remains the case. In this case givingour focuson getting the pollution parameter in order to make a module that will integrate with an existingsolar weather prediction system. The module takes in pollution data uses the light beams reaction to theparticulates per million content and its characteristic reaction to compound that’sclassified as a pollutant ora heavy molecule. It is getting the data about the light beams hitting the surface below the cloud cover, andthat gives an output of energy that’s hitting the ground to suncast system.
Marketing Strategies of Spider Digital Security

Lo and behold, the service sector today is diminishing in jobs, because millions of people arestruggling, undoubtedly with dignity, to establish themselves and their communities.Cybersecurity implementation is one of the simplest ways of achieving a safe cyber worldfirst, but sadly for our Society, the need for cybersecurity has been difficult to build overdecades. Nevertheless, cybercrime and business failure are a lion's share.Spider Digital Security is one of Bangladesh's leading global cybersecurity firms for a secureonline environment. The company was founded in 2013 in the United Arab Emirates. Theorganization has sought, over many years and above the average number of customers inconsumer nations, to provide secure online service. Bangladesh also has a Spider DigitalSecurity unit, like other developed and developing countries.
Electronic Platforms For Education And Assessment In High Schoolsand Universities – Possibilities And Challenges

The aim of the paper is to present the electronic platforms for education and assessment used in high schools and universities in Bulgaria. The methodology used includes content analysis, comparative analysis and a survey (primary research) with respondents from the educational system - teachers and university lecturers. Finally, the results and recommendations from this research are presented.
Data Mining and Its Application in Science and Technology E-Government

Improving the ability of independent innovation and building an innovation-oriented country are the core of the national development strategy and also the key to improving the comprehensive national strength . Abundant government information and data, on the one hand, provide accurate and objective basis for the scientific decision-making of government departments, and on the other hand, pose great challenges to the information screening and data analysis. Data mining is a necessary step in the evolution of e-government from management information system to decision support system []. The object of data mining is a theme-oriented, integrated and relatively stable data set. Therefore, a complete system of data must be established before data mining, and a large amount of historical data at different levels and in different formats scattered in several applications or systems must be integrated according to the subject. E-government has made great progress in China in recent years. Government departments at all levels have set up a large number of databases with exponential growth of data. How to use the new data analysis technology to extract the useful information efficiently and accurately from the e-government system has become a practical problem [].
ANALISA PEMBELAJARAN BAHAN AJAR CONVERSATION TINGKAT ELEMENTARY-ADVANCE TERHADAP KE-UPTODATE-AN KURIKULUM DI PROGRAM STUDI SASTRA CINA UNIVERSITAS BUNDA MULIA (慈育大学中文系对外汉语初高级口语教材编写研究 ——以《汉语口语教程》为列)

As the founding of the republic of china, the rapid development of china as the author of the text of the mandarin showing the result has been spectacular. But as the development of social, in a society economy and culture, the writing of teaching materials in the form of text appearing some problems, mandarin and this research uses the technique collecting data and a questionnaire that is divided into three aspects, namely: the development of research teaching materials textbook conversation advanced, mandarin some of the problems found in the writing of teaching materials textbook conversation mandarin as well as the principle of yardstick in writing textbooks conversation mandarin of advanced. The authors conclude from the three aspects of the things that must be considered in writing textbooks conversation mandarin of advanced and a distinctive feature as well as problems that occur and new mindset for writing textbooks, Based on the basis of researchers previously expected this research can find ideas of writing latest.
Dataset of microscope images of prefrontal cortex from wistar rat tissue after an induced stroke for image registration and stitching

This article presents a dataset of raw microscopic images of the prefrontal cortex from wistar rat tissues, after an induced stroke, stained with NeuN antibody. The raw images were captured using a microscope equipped with a digital camera. The dataset is useful for testing techniques for the improvement, registration, and stitching to generate a high-resolution image with a full reconstruction of tissues. Besides, this dataset can be used to assess the neuronal brain after an ischemic event. The dataset contains 1370 microscope images with 20x magnification and 36 (Hierarchical Data Format version 5) hdf5 files with homography matrices between every pair of sequential images per tissue rows.
A novel attribute-based dynamic clustering with schedule-based rotation method for outlier detection

Detection of outliers in bank transactions has gained popularity in the recent years. The existing outlier detection techniques are unable to process the high volume of data. Hence, to address this issue, an efficient attribute-based dynamic clustering-schedule-based rotation (ADC-SBR) method is proposed. The similarity between transactions within a cluster is estimated using Jaccard coefficient-based labelling approach and the optimal cluster head is chosen by the similarity-based cluster head selection (SbCHS) method. The outlier detection is performed in two levels. The node level outlier detection is performed using linear regression model and the cluster level outlier detection is performed by deviation-based ranking. An own dataset with bank transactions is used for the experimental analysis. The suggested method is implemented in Apache Spark and is compared with existing algorithms for the metrics. The comparison results prove that the proposed method is optimal for all metrics than existing algorithms.
초등 과학 온라인 수업 운영에 대한 교사들의 인식과 운영실태

The aims of this study were to do a survey on teachers’ perception and operational state for elementary science online remote classes and suggest ways to improve the elementary science online remote classes. The survey was based on responses from 100 teachers who have taught elementary science online remote classes for the first semester of 2020 for COVID-19. The questionnaire used in this study consisted of four parts: general information of participants, the operation status of elementary science online remote classes, teachers' perceptions on the operation of elementary science online remote classes, and ways to improve elementary science online remote classes. As a result of this study, elementary teachers taught elementary science online remote classes on the main use of content utilization type. And they had a difficulty in conducting elementary science online remote classes because of lack of contents, absence of elementary science online remote classes teaching methods, learner management and heavy workload. Therefore, to improve elementary science online remote classes the Ministry of Education and regional offices of education have to develop and provide high-quality contents reflect the characteristics of elementary science subjects, introduce a rent-an-experiment equipment system, and build a science class platform providing frequent real-time interaction between teacher and student.
PENGEMBANGAN MODEL PEMBELAJARAN BERBASIS PROYEK BERBANTUAN MEDIA KOMIK DIGITAL PADA PEMBELAJARAN MENULIS TEKS CERITA PENDEK

In learning Indonesian, there are still problems with the difficulties of students expressing and developing ideas in written form and students still lacking in appreciating literary works and creating a pleasant atmosphere for learning literature. This study aims to improve students 'skills in producing short story texts and foster students' motivation in learning to write short stories by utilizing a variety of learning models and media. When studied more deeply, the problem that is often found is the difficulty of students expressing and developing their ideas and ideas. In addition, students are only accustomed to writing when asked by the teacher or not on their own initiative so that students' abilities are not honed. Based on this, it is necessary to have a variety of models and media that use technology to support successful learning. The project-based learning model assisted by digital comic media is a model that suits the characteristics of vocational school students, because this model directs students to play an active and creative role so that learning objectives can be achieved. Digital comics try to give different nuances to the model through the imagination and hands-on experiences that students have. The method used in this research is research and development (R&D). The results showed a positive impact on improving student learning outcomes seen from the teacher's or student's response very well when this model was applied in vocational schools in Bandung Regency. It can be said that the project-based learning model assisted by digital comic media is effective in improving students' short story text writing skills. This shows that the project-based learning model assisted by digital comic media can be used or applied as a means of supporting learning for teachers in delivering learning materials so that an effective learning nuance is created.Keywords : Project-Based Learning Model, Comic Media, Writing Short Story Texts
Tera-Zooming in on light (composite) axion-like particles

The Tera-Z phase of future $e^+ e^-$ colliders, FCC-ee and CepC, is a goldmine for exploring $Z$ portal physics. We focus on axion-like particles (ALPs) that can be produced via $Z$ decays with a monochromatic photon. As a template model, we consider composite Higgs models with a light pseudo-scalar that couples through the Wess-Zumino-Witten term to the electroweak gauge bosons. For both photophilic and photophobic cases, we show that the Tera-Z can probe composite scales up to $100$s of TeV, well beyond the capability of the LHC and current precision physics. Our results also apply to generic ALPs and, in particular, severely constrain models that explain the muon $g-2$ anomaly.
Assessing Reference-Free Peer Evaluation for Machine Translation

Reference-free evaluation has the potential to make machine translation evaluation substantially more scalable, allowing us to pivot easily to new languages or domains. It has been recently shown that the probabilities given by a large, multilingual model can achieve state of the art results when used as a reference-free metric. We experiment with various modifications to this model and demonstrate that by scaling it up we can match the performance of BLEU. We analyze various potential weaknesses of the approach and find that it is surprisingly robust and likely to offer reasonable performance across a broad spectrum of domains and different system qualities.
MUSICOTERAPIA NA GERONTOLOGIA: : POSSIBILIDADES EM TEMPOS DE PANDEMIA DA COVID-19

The COVID-19 pandemic had a major impact on the population. For the older adult, the negative consequences included an increase in age discrimination and feelings of loneliness and social isolation. In music therapy, the representative entities published guidelines for professionals through informational materials, and remote care is being offered in Brazil on an experimental and temporary basis. The practice in gerontology, in this period, can offer benefits for the physical and mental health of the older adult, however, the limitations and demands of the use of technology must be taken into account. This article aims to offer a current overview and indicate possibilities of the music therapist's practice in remote care for the elderly during the COVID-19 pandemic. Among the possibilities in remote attendance, the following can be mentioned: the survey of songs of preference; the use of rhythm for dancing and breathing; musical composition; the indirect practice of music therapy, among others. In the future, it is important to evaluate the benefits, but also the negative implications of remote service, such as technology limitations and physical distance. Anyway, it is possible that these learnings are added to the training and practice of music therapy.
Enriching plWordNet with morphology.

In the paper, we present the process of adding morphological information to the Polish WordNet (plWordNet). We describe the reasons for this connection and the intuitions behind it. We also draw attention to the specificity of the Polish morphology. We show in which tasks the morphological information is important and how the methods can be developed by extending them to include combined morphological information based on WordNet.
Significance of Consolidating Indigenous Channels of Communication and Traditional ICTs to Disseminate Agricultural Information to Rural Farmers in Nigeria

Smallholder farmers constitute the bulk of the Nigeria’s agricultural force. Most of these farmers are concentrated in rural areas thus, limiting their access to timely and accurate agricultural information. Their inability to utilize vital agricultural information is due to personal and infrastructural constraints and other communication barriers. This study was therefore conducted to ensure farmers overcome the afore mentioned constraints through consolidating indigenous channels of communication and traditional ICTs to disseminate agricultural information to rural farmers in Nigeria. It is pertinent for Agricultural Extension Agents to consider and implement the adoption and utilization of this method to communicate agricultural information to rural farmers in Nigeria as well as other developing countries.
Analysis of Structural Equation Model on Attitude toward English Learning in Higher Education Institution

This research aims to analysis and evaluate attitude toward English learning in higher education institution. The data are from a survey by using questionnaire. The 400 samples are the student of higher education institution. The statistics used in this research is SEM or Structural Equation Modeling. The data analysis of subjects, theories and research related to the study of 20 indicators. And extracted                 4 factors to determine the relationships among the elements and 18 indicators, including learning attitude, inspiration, learning support and learning concentration. The research found that the Mean Magnitude of Relative Error (MMRE) of structural equation that affects the modeling efficiency of attitude toward English learning in higher education institution was 4.628%
Analysis of the Repeatability of SIFT and SURF Descriptors Techniques for Underwater Image Preprocessing

To improve the repeatability of SIFT and SURF descriptors, we conducted research to find two methods: first, a method for pre-processing underwater images that does not require prior knowledge of the scene, and second, a method for computing distances that is less expensive in terms of execution time for finding corresponding points. SIFTs (Scale and Rotation Invariant Features) are new features that have been developed. SIFTs (Scale and Rotation Invariant Features) are newly developed features that are based on geometrical constraints between pairs of nearby points around a key point. SIFT is contrasted with cutting-edge local features. SIFT outperforms the state-of-the-art in terms of retrieval time and retrieval accuracy. We have discussed the time required to extract key point features of SIFT and SURF Descriptor.
Library Guides: Open Research: How to: make your publications Open Access (OA)

This guide provides information and how-to advice on a number of different ways you can embed open practices into your research.