Reviewerly/exHarmony huggingface dataset:
PENGEMBANGAN MODUL PEMBELAJARAN MENULIS KARANGAN BERBASIS STRATEGI THINK-TALK-WRITE

(Title: Development of Essay Writing Learning Moduls Based on Think-Talk-Write Strategy). The curriculum 13 for high school students in class X of the material taught is writing essays. The study aims to determine the development of moduls that can be used in writing essay learning based on think-talk-write (TTW) strategies and the differences in the effectiveness of learning writing essays using the module. The research use the R&amp;D approach. Based on the results of the analysis of the needs students and teachers it can be concluded the students need special teaching materials in learning to write essays. Therefore the TTW strategy was chosen as a strategy used to develop teaching materials. The result of the effectiveness test a t score of 28, 273 and 27, 288. This proves the existence of effectiveness in using TTW astrategy based moduls. Keywords: modul, think-talk-write, writing
Study on Sharing Models of Scientific Data in Big Data Era

Sharing models of scientific data determine the effectiveness. The development of big data technologies leads to new influence and challenges to the sharing models. This paper analyzes five common sharing models and investigates the sharing model of scientific data for China. We analyze the system architecture, driving force and guarantee mechanism. Some suggestions are also proposed for promoting the scientific data sharing of China.
LibGuides: Research Help: Books

Use this guide as a general starting location for research. Provides links to guides, databases, and the option to email or chat with a librarian for help.
A New Efficient Blind Quantum Signature Scheme Based on Entanglement Swapping

According to the principle of quantum entanglement swapping of GHZ states, this paper put forward a blind signature scheme based on quantum entanglement. Without performing any unitary operation, all participants just need to do Bell measurements on new entangled particles emerging from entanglement swapping of GHZ states to complete blind signature and verification. It is not difficult to prove that the proposed scheme processes the features of nonforgeability, non-disavowal and blindness. Furthermore, compared to some other blind signature schemes on entangled states, our scheme is more efficient because except a few decoy particles, only 2 GHZ states are required for signing each 3 bits in the message.
MENINGKATKAN KEMAMPUAN MENULIS CERITA NARASI MELALUI PENDEKATAN KONTEKSTUAL DENGAN MEDIA GAMBAR BERSERI PADA SISWA KELAS VII SMP NEGERI 9 MODEL KOTASORONG TAHUN PELAJARAN2018/2019

This research aims to find out how the development especially in terms of writing a narrative through contextual approach with media images in a series that could serve as an alternative in the learning process in schools. The form of this research is the research action class. The subject of the research is grade VII-G junior Country 9 city of Sorong of 37 students, consists of 19 men and 18 women. This research was conducted in two cycles and pengumpuan data on engineering research is engineering tests and nontes. Test techniques in the form of the description that is a fantasy story writing and techniques of nontes i.e. observation and interview. Technique of data analysis in this study includes quantitative data analysis to analyze the results obtained from a test write fantasy, while qualitative data analysis technique used to see the effectiveness of the use of the approach contextual media pictures glow and see changes in student behavior during and after the learning process. The results of this study showed that the ability to write fantasy stories have elevated from before the implementation cycle or pratindakan. The increase occurred in every aspect, such as aspects of the structure in the pratindakan there are 26 students (70.27%) students has been completed, and at the end of the cycle reached 37 pupils (100%) has been completed. The increase also occurred on the content that was originally 4 students (10.81%), and at the end of the cycle there are 37 pupils (100%) has been completed. As well as an increase in the use of the language on the pratindakan aspects of 5 students (13.51%) to 30 students (81.08%) at the end of the cycle. Therefore, the increase also occurred on the number of students who are finished in a fantasy story writing skills, and ketuntasan in the pratindakan only achieved by 3 students (8.10%) then increased at the end of the cycle be 29 students (78.37%) completely from the 37 students who were given the test. Ketuntasan is measured from the KKM is on the school that is 75. This causes the average value of the class be increased from pratindakan phase obtained average value of 42.24 and increased to 77.70 at the end of the cycle.
The Method of Teaching Computer English on the Base of Development of Students’ Innovative Ability and Practical Skill

This article introduces the method of teaching computer English on the base of development of studentsâ€™ Innovative ability and practical skill. And through an experiment, it is proved to has more advantages than the traditional method in improving studentsâ€™ performance.
THE CORRELATION BETWEEN TRANSLATION ABILITY AND READING HABIT TOWARD WRITING ABILITY

This research is aimed to find out the correlation between (1) translation ability and writing ability; (2) reading habit and writing ability; (3) translation ability and reading habit toward writing ability. The population of the study was the fourth semester in the academic year 2019/2020. The sampling technique used is convenience non random sampling. The researcher used test to obtain the data of students’ translation ability, then questionnaire to obtain the data of students’ reading habit level and test to obtain the data of students’ writing ability. Theresearcher used Product Moment formula to know the coefficient correlation and linear regression to find out the significance correlation. There three results of the study, fist hypothesis, showed that the coefficient of correlation between students’ translation ability (X1) and their writing ability (Y) is higher than 0 (0.9083>0) and linear regression showed that t obtain is higher than t table (10.415 > 2.069). Second hypothesis, showed that the coefficient of correlation between students’ reading habit (X2) and their writing ability (Y) is higher than 0 (0.6939>0) and linear regression showed that t obtain is higher than t table (4.621 > 2.069). Furthermore, the third hypothesis showed that the coefficient of correlation (ryx1x2) between students’ translation ability (X1) reading habit (X2) and their writing ability (Y) is higher than 0 (0.8304>0) and linear regression showed that t obtain is higher than t table (24.443 > 3.44). It means translation ability and reading habit is a good predictor for the students’ writing ability.
Intelligent software defined network based digital video stabilization system using frame transparency threshold pattern stabilization method

Digital Video Stabilization (DVS) allows the acquisition of video sequences without disturbing jerkiness and removing unwanted camera motion. Many researchers attempt to improve the performance of Digital Video Stabilization but all of them not get perfect results. Therefore in this research work we introduce different DVS strategy that proposes to transfer camera veins to a Frame Transparency Threshold Pattern Stabilization (FTTPS) algorithm. The proposed FTTPS algorithm consists of four steps: (i) Frame Representation; (ii) Motion Estimation; (iii) Filtering and (iv) Compensation. The proposed FTTPS method also utilizes an adaptive criterion for filtering and validation of motion vectors moreover to register a Global Motion Vector (GMV) for each frame, the proposed DVS method satisfactorily assesses the think camera motion by moving an unwanted motion of characteristics. The proposed Frame Transparency Threshold Pattern Stabilization method is basically customized in Matlab programming language, the simulation of the proposed system validated through Inter-Frame Transformation Fidelity (ITF) and Peak to Signal Noise Ratio (PSNR) Values and which is more pragmatic and takes less chip asset and general 93.12% efficiency accomplished utilizing proposed Frame Transparency Threshold Pattern Stabilization system. The suggested digital video stabilization system can be combined with sensible and robot vision, and visual monitoring structures for various low cameras display quality updates.
Introduction to animal law: Resources for online research and study

Animal law is the body of statutory and case law governing the treatment of nonhuman animals, including wildlife, companion animals, and animals used for research, entertainment, and food. Emerging rapidly on academic and legal horizons since 2000, entire programs of study at all levels are now dedicated to training students to be effective humane educators, attorneys, law enforcement officers, and citizens.High-profile court cases, such as SeaWorld v. California Coastal Commission, along with the proliferation of animal protection documentaries, such as Blackfish, Earthlings, and Tyke: Elephant Outlaw, have raised profound questions about our treatment of other species. Animal protection is now a mainstream phenomenon, largely due to the Internet and social media providing instant visibility to and awareness of the critical issues of our time.
MIRELE: A MIXED-REALITY SYSTEM FOR LEARNING A TASK DOMAIN

MIRELE is an interactive tabletop for situated domain learning that helps students learn names of the physical objects and their relationships by projecting the names, relationships, and additional information onto the real objects.It is build based on camera-projector system and offers a domain-independent fast authoring system.Using the authoring system, the teachers can create the learning materials themselves without any programming.MIRELE is designed for domain-independence, unobtrusiveness and usability for manual activities, and offers a simple low-cost solution that can be utilized very fast in the classroom.
EXPERIMENTAL STUDY OF THE CHARACTERISTICS OF PHOTORESISTS

The article describes the experimental study of the basic characteristics and parameters of semiconductor photo resistances by students of physics at the Pedagogical University. The study was conducted at a laboratory stand developed, patented and manufactured by us. One of the main components of the professional training of future physics teachers is the formation of skills for organizing and conducting a physical experiment, among them acquiring new knowledge; forming the primary skills of using physical equipment and devices; acquiring the ability to plan the experiment and analyze the results. Our studies have shown that performing only laboratory work according to the prepared instructions, do not yet provide adequate preparation for independent planning and conducting experimental research by students. In order to partially solve the problem of improvement the forms and methods of organizing the initial experiment, we have proposed a pilot work that can be done in the final stage of specialist training. The purpose of the article is to analyze the results of the study of the photographic resistance characteristics that was offered to students. Studies in which was used photoresist, based on sulfur cadmium included: taking of current voltage, light, spectral and frequency characteristics of photo-resists; determination of integral sensitivity of photo-resistance; determining the influence of external factors on the characteristics of semiconductors. Students studied photographic resistance before and after treatment of its working surface with high-energy electron fluxes with a maximum energy of up to 1.15 MeV to identify the influence of external factors on the characteristics and parameters of semiconductors. The semiconductor was irradiated with electrons on an industrial electron accelerator. Involvement of students in experimental work conducted during extracurricular time and under the guidance of the teacher is essential in generalizing generic experimental research skills of future specialists. Key words: physical experiment, semiconductor, photo-resistance, properties.
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The aim of the present study was to investigate and assess the roles of learning motivation and learning strategies in the learning of English for...
Analysis of the achievements of ninth graders at the 2017 National chemistry competition

Every year, the Association for Technical Culture of Slovenia launches a chemistry competition for Pregl award and plaques. The competition takes place at a primary school and at a high school. Competitors from the eighth and ninth grade of primary schools compete for the Pregl award, and students from high schools compete for the Pregl plaque. The competition is considered as an important and a successful form of working with pupils as each competition represents a challenge for the competitor, making them more confident and being able to compare their skills with the skills of other competitors. According to studies, pupils like to compete as competitions boost their confidence and motivation for future work. What is more, the competition is an important form of working with gifted pupils. With a qualitative research approach, 780 written examinations of the 51th national chemistry competition for Pregl award in 2017 were analysed. They were obtained from the Association for Technical Culture of Slovenia. The aim of the master's thesis is to gather information, based on the analysis of the examinations, what terms the pupils, the primary school competitors, are familiar with and where they have problems. Based on a thorough analysis of the results from individual tasks of the examination, conclusions can be drawn about what contents the competitors are well-prepared for by their mentors and what contents should be given more attention. The aim of the master's thesis is also to analyse the most commonly occurring mistakes. The results of the analysis show the difficulty of the tasks. The number of pupils who solved the task correctly was given, as was the number of pupils who did not solve the task at all. The most common wrong answers occurred due to: insufficient knowledge of chemical concepts and facts, misunderstanding of the pictures and submicroscopic presentations, negligent reading of instructions, problems in understanding mathematical relations. The competitors were the best at solving multiple-choice tasks, where the highest percentage of the competitors obtained all points. The competitors, however, faced the most problems solving structured tasks, which belong to a higher cognitive level. The determined conclusions can be used as suggestions for the improvement of teaching as well as a feedback to mentors and creators of the tasks about their work.
Engaging senior adults with technology for behavior change

Amidst today’s ever-expanding waistlines there is a clear need to investigate technology’s potential to support behavior change and stimulate increased physical activity. Physical activity has also been shown to increase the independence and well-being of older adults, yet an important segment of this community is often excluded from the necessary in-context research due to the barriers they face to technology acceptance. Currently, there is limited knowledge on how to overcome these barriers to participation. We created a specific Product Service System that supports older adults to engage with the proposed technological interventions to enable important in-context behavior change research. Our approach converges knowledge from the domains of living laboratories, co-design, and existing experience of design research with older adults. From our experiences with this Product Service System, we provide guidelines to support other researchers setting-up a living laboratory study with older adults to explore technology’s potential to motivate behavior change.
Neural Network Model for Mathematic Scores Prediction: Case Study in SMK Negeri Pakis Aji, Jepara, Indonesia

Aim of this research is to apply Neural Network Algorithm to predict score of mathematic in the national exam. During the time, the teacher only provided national exam materials and additional tryout tests without knowing how to predict the exam scores in mathematics subject. Data mining neural network algorithm obtained \Root Mean Square Error (RMSE) values which were used as basic improvement and clustering class By conducting research using data mining neural network algorithm, it proved that this model can be used to predict scores of Mathematics subject at SMK Negeri 1 Pakis Aji.. The result of this research by using data mining neural network algorithm found RMSE 0138 +/- 0.092. The lower the RMSE values the more accurate the neural network to predict mathematics scores of SMK Negeri 1 Pakis Aji.Received: 18 Agustus 2019; Accepted: 5 Januari 2020; Published: 14 January 2020
THE IMPACT OF MARKETING STRATEGY IN EVENT TO ATTRACT FASHION CUSTOMER’S BRAND AWARENESS

The growth of Small Medium and Enterprises Business is one of the main keys to an economy’s vitality. SMEs are known to have a major role in creating wealth, given their place in the economy. According to Chugtai (2014) SMEs business is growing rapidly and have a big strategies role to develop the economic growth in a city. Fashion business is the one of the potential aspects that Bandung’s have supported by availability of the raw material of products, social networking through the fashion community, and also the human resources that develop the fashion industry. As time goes by, many ways are done by the company to promote their products. The one of innovation that a company do to introduce product and create an awareness among the target market is by event marketing strategy. Event marketing is an activity that have been planned and organized by a company with the intent to introduce a brand of the company that have three critical elements that make the event marketing strategy success i.e. entertainment, excitement and enterprise (Hoyle, 2002). The marketing event is an opportunity for the company to reach a bigger market and establishing real and direct contact with consumers during events such as festivals, fairs, or sporting events, can produce a memorable brand experience for everyone (Zarantonello, 2012). SME business can use this marketing strategy to increase their brand awareness. Hopefully, they can understand how to design the strategy of event marketing to attract customer awareness, so that they can implement this event marketing strategy in their business. Research Aims: Analyse the impact of event marketing strategy to brand awareness customer apparel industry  Design/methodology/approach: Judgement sampling method with respondents completing a fivepoint Likert scale close-ended questionnaire   Research Findings: The result shows that event marketing has a positive impact on brand awarenessand also event marketing should be design well to make memorable memory for the customer
CHEMICAL ASSESSMENT OF LIMESTONE DEPOSIT IN PARTS OF IJEBU MEMBER, DAHOMEY BASIN, NIGERIA

Fifteen rock samples were collected from some part of the Ijebu member of Ewekoro formation around Odogbolu, Southwestern Nigeria. These samples were analyzed for their elemental oxides and petrography to determine their depositional environment and rock provenance. The analysis was carried out using appropriate methods. The total organic carbon value ranges between 0.13% and 0.28% as against the threshold value of 0.30% for a good source of carbonate rock. The geochemical analysis indicates that the CaO percentage ranges from 19.12 to 52.69%, while the MgO percentage is generally low, ranging from 0.13 to 2.60%. This implies little or no dolomitization, and it indicates a good raw material for cement production. The SiO 2 percentage ranges from 5.61 to 37.03%. These could have resulted from the slight incursion of the underlying Abeokuta formation, but studies revealed that it reduces as it grades towards the upper layers. The Fe 2 O 3 percentages were relatively low.  Further studies revealed that the limestones contain some fossils including foraminifera, gastropods, mollusks, echinoids and algae which have been recrystallized, obliterated and refilled by calcite during the diagenetic process.
Pengenalan pola anyaman tikar purun kerajinan tangan masyarakat kawasan lahan basah Kalimantan Selatan menggunakan metode Gray Level Co-occurence Matrices (GLCM) dan Artificial Neural Network (ANN)

The people of the South Kalimantan wetland area have handmade wicker purun mats with a distinctive wicker pattern. Based on the results of the field survey, there are 13 patterns of wicker, namely: mata punai, saluang mudik, biji cangkeh, tapak catur, salapar biji waluh, mata gergaji, pelupuh, pemudang, balang batapak, ramak sahang, beleres, baramak and balang bagapit. The wealth of this craft treasure needs to be identified and documented so that it becomes a cultural icon of the people of South Kalimantan. GLCM (Gray Level Co-Occurrence Matrices) is a method for extracting digital image texture features, while ANN (Artificial Neural Network) is a method for classifying digital images. This study identified the pattern of purun mats using GLCM and ANN. The identification carried out is the exclusion of basic wicker patterns and mixed wicker patterns. GLCM is used to extract wicker texture features and ANN is used to classify these texture features. The output of the GLCM method is the value of ASM (Angular Second Moment) or energy, contrast, correlation and IDM (Inverse Difference Moment). The four values are used as distinctive features of an image, and are used as input to ANN. ANN training is carried out to obtain the ANN model (weight and bias). The ANN model is used for testing dataset. This dataset uses 65 wicker samples consisting of 2 classes, namely: basic wicker patterns and mixed wicker patterns. The sample data is grouped into two parts: 39 samples are used as training data, and 26 samples are used as testing data. The test results are in the form of accuracy in the recognition of purun mats patterns. The results of this study indicate that identification of purun mats produces 100% accuracy when training and 80.77% when testing. Based on the results of these tests, the GLCM and ANN methods can be used to classify digital image texture features of purun mats effectively.
Pengaruh Model Concept Sentence Berbantu Media Gambar terhadap Keterampilan Menulis Puisi Siswa SDN Kota Bengkulu

The purpose of the research knew for influencing cooperative learning model in type concept sentence by using picture media in writing poem at V grade SDN Gugus IX Bengkulu. This research was quantitative. Reasearch Method used Quasy Experimental Research in design resarch The Matching Only Pretest-Posttset Group Design. The populations of the reasearch were students at V SDN Gugus IX bengkulu. Technique collecting data used cluster random sampling. The sample of the research was to group of work, consisted at VC SDN 82 Bengkulu (experimental class) and VA SDN 73 Bengkulu (Control Class). Research instrument  used writing skill test of poem which gave pre test before teaching learning process and post test after teaching learning process. the data of the result could analyze by using descriptive analysis, test and T-test  inferencial analysis. Data of the result knew the Mean of pre test at experimental class (58) and post test (79), while the Mean pre test at control class (57) and post test (73). The result T-test of post test on control group of experimental showed that the result of T-test 3,97 was more than T-test on significant 5% as 1,67 so H a received and H 0 refused. It means that the influencing of cooperative learning model in type concept sentence by using picture media in writing poem implemented at V grade SDN Gugus IX Bengkulu.