Reviewerly/exHarmony huggingface dataset:
Using Face Recognition to Find the Culprit from a Video Footage and Crime Mapping

Recently face credibility in the group transmission information access society attracts ample publicity. Through a lot of video, areas such as group security, compartmentalization and retrieval of content data, and video compression benefit from face credibility technology as a result of “people” square degree in the centre of focus. Face detection is that the freshest analytical room within the technical vision. It is a technology employed at some stage in a type of packages recognizing human faces in digital images [1]. In several regions of science such as technology, research underneath this area is growing. Face detection is one of a few the important talked regarding in technology. Localization of human faces is considered because the main and, in addition, the initial stage of face detection analysis is taken into account. In home video, for instance, police paintings etc. Localization of the face is often said as extraction of the pattern of popularity method of victimization of face expression. Every MATLAB and Open CV is used frequently to generate these prototypes and systems. Throughout this paper we have conducted our Open CV assessment victimization as a result of victimization, it finally ends up with a sluggish additional use of it and assets in the picture procedure and less encoding and crime visualization make it easier to see the wrongdoer from many locations.
Team Game Tournament Learning Model to Improve the Students’ Speaking Achievement

This study aims to find out whether the implementation of TGT can improve students’ speaking ability and activity in grade IX-D of MTs Negeri 2 Kudus. This is a classroom action research. This research was carried out in several cycles. Each cycle consists of planning, implementing, observing, and reflecting. The variables of this study comprise of student achievement and teacher activity. The results showed the teacher's performance increased according to the criteria on the indicator, which was shown in cycle I was sufficient and cycle II to be good. Student activities during learning are very good, in the first cycle with a percentage of 66.67% and the second cycle with a percentage of 93.33%. The students’ speaking achievement is shown by the average of students’ evaluation result in the first cycle (6.85) and the second cycle is 8.63. In the first cycle the students who finished learning were 14 students or 46.67% and those who did not complete as many as 16 students or 53.33%, and classical learning completeness 46.67%. In cycle II there were 30 students who had finished learning and none of them had finished learning, and classical learning completeness was 100.00%. This means that the results of the second cycle evaluation are better (increased) than the first cycle and need not be continued in the next cycle. The learning model of Team Game Tournament (TGT) is relatively high, reaching 81.73%.&#x0D; &#x0D;
Research Guides: Welcome to Using Primo: Searching the Lewis Catalog for Books & DVDs

A resource guide for students and faculty about the transition to the Primo VE discovery service.
Subject Research, Course Guides, Documentation: Adirondack Research Library: Personal Papers

This guide serves as a starting point to introduce faculty, staff and students to resources held by the Adirondack Research Library located at the Kelly Adirondack Center of Union College.
MACROSTRUCTURE OF CLASSROOM SPOKEN  DISCOURSES PRODUCED BY ENGLISH TEACHERS

For English teaching practice, it is important to deliberate productive talks that spur students’ comprehension, creativity, and problem solving ability. This research aimed at finding out the spoken discourse based on six phases of macrostructure in English classrooms. In this study, the writers employed observation guide sheets to collect the data and it was employed to 2 English teachers in Aceh Besar. The guide was developed based on Van Dijk (1980) on macrostructure in discourse society. The theory was adopted and adjusted based on the classroom spoken discourse. The data were analyzed using the interactive model analysis by Miles, Huberman, and Saldana (2014). The steps were data condensation, data display, and data verification by using a percentage formula. The findings indicate that two teachers conducted the process of teaching and learning activities according to the lesson plans that they had previously designed. Even though both of them had different teaching strategies, but the lesson plans had a complete structure with 6 steps in macro-phases.
Research Guides: TCC Votes 2020: Voter Registration

Information about how to register to vote, eligibility, ID requirements, candidate information, what's on the ballot, and more.
Forms and methods of organizing experimental work to improve the pedagogical basis of the formation of musical culture in students

The article presents the results of experimental work on improving the pedagogical basis for the formation of musical culture in students of higher education institutions and proves its effectiveness. In addition, the forms and methods of organizing experimental work to improve the pedagogical basis of the formation of musical culture in students are described in detail. It is based on the criteria of formation of musical culture in students.
Applying Steganography Techniques in Images using Least Significant Bit, Discreet Wavelet Transform and Masking and Filtering

People are now living in the world full of artistic individuals that create art and admire them for the disciplineregarding the practice of their craftsmanship. On the other hand, there are some who manage and become expert onstealing the artworks/ crafts of these people. This practice of stealing of such masterpiece can be done by addingwatermarks to the image, but the Adobe Photoshop magic trick can delete in just an instant. Therefore, this studyfocused on the different algorithms that can be used in steganography and their implications on the said topic.Steganography is the science of hiding information. Whereas, the goal of cryptography is to make data unreadableto other individual, steganography instead hide the data from a third party. This idea of stenography is a great toolfor making the watermark more unique and genuine. The obtained result reflects that the interrelationship betweenLSB and DWT has a significant difference, while comparison between DWT with MFT and LSB with MFT has shownno direct vital connection
Measuring Darknet Markets

Background: A lot of scientists have tried to shed light on dark web markets. They did this by scraping these marketplaces over a period of time and describe what they were seeing. However, the methods used to measure these markets were never validated before. Research goal: This research will identify and validate the methods that are used in the literature to measure darknet marketplaces. Methods: To validate these methods, a novel dataset is used, namely the confiscated backend of a market. This dataset is cleaned and used to analyze the accuracy of these proxies on. Results: It is found that the number of transactions, revenue, and market share can be estimated with a high amount of explained variance. The predictions are precise enough to find prominent vendors on the market. The designed method of calculating the illegally obtained profits of a darknet vendor is easy to understand and could be used by law enforcement agencies. Finally, it is found that some vendors register to a market early as a strategy to ensure their business continuity.
PERANCANGAN PRODUK TAS SEBAGAI PENUNJANG KEBUTUHAN TRAVELING WANITA DENGAN MOTIF PERJALANAN PLEASURE TOURISM

ABSTRACT Nowadays, traveling is one of the activities that are much in demand by women and become a lifestyle. Traveling interest is carried out because of the support of the internet mass media which has raised social media as a channelling media to display certain images that want to be displayed to audiences such as Instagram. Many enthusiasts in this traveling activity are urban/metropolitan women who earn every month, a fashionista, and likes to travel to tourist attractions that are rich in scenery such as beaches, hills, handmade craft store and others that support the activity of taking pictures of their appearance such as their look with all the fashion accessories that used. This gives rise to an idea or potential thing that can be developed, such as creating fashion complement that support the needs of these traveller that can be traded. The purpose of this research is to develop business opportunity planning by creating a traveling support product in the form of bag with a touch of decorative elements. The research method that used is the qualitative method of literature study and observation of the market segmentation of several local brand accessory used as a reference in the process of designing a bag. There is also an exploration method used are several Textile Structure techniques for the decorative elements on the bag. Keywords Fashion Complement, Traveller, Traveling, Bag, Local Brand.
Blockchain for smart city - public service integration by strategic alliance

The smart city, as a developing strategy for global economy, has been initiated in many countries and has exhibited a booming future. There are various studies suggesting that the blockchain is an indispensable tool for smart city construction. However, adapting it to smart city strategy is still an open challenge. The objectives of this paper are to apply blockchain to smart city's strategic decision making in the form of strategic alliance (SA) and provide suggestions for smart city development. The solution proposed in this research is to design an SA, with a focus on promoting the organisational structure of the information transmission alliance using the blockchain and to organise the smart services by promoting the integration of smart solutions and the knowledge of blockchain. This research surveys literature data, and classifies and analyses the collected literature data. According to the study, we develop a smart city model that applies the blockchain technology.
Klasifikasi Untuk Memprediksi Pembayaran Kartu Kredit Macet Menggunakan Algoritma C4.5

Many credit card issuing companies experience problems related to bill payments by their customers or also known as bad credit payments that are not according to the agreement so that they are detrimental to the company itself. In this case, there is still a pile of unclassified credit cardholder customer data and problem-solving patterns are found. The C4.5 algorithm is used to predict whether a customer is a credit default payment or not. This study uses a data set that has determining criteria, namely the amount of credit, status, age, and payment status for 1-3 months. From the results of research using 4199 customer data results in an evaluation that the C4.5 algorithm is applied accurately to predict whether or not customer credit card payments are bad with an accuracy level of 70.93%.
Early detection of breast cancer during the Covid-19 pandemic using artificial intelligence neural networks

Currently, as governments across the world attempt to halt the spread of COVID-19, many of their efforts are beinghampered by shortages of crucial testing kits Even in many developed countries, the health system has come to thepoint of standstill due to the increasing demand for intensive care units One study reveals that 40,000 women die ina year from breast cancer, which is one woman every 13 minutes dying from this disease every day Breast cancerremains the number one form of cancer that women are diagnosed with around the world Any hospital in the worldwill have a multidisciplinary team of experts including radiologists, oncologists, surgeons, and other respiratoryphysicians and consultants This multidisciplinary team uses a wide variety of data taken from CT scans, x-rays, PET scans, biopsies, clinical examination, imaging mammography, ultrasound (sonography), pathology biopsy, andfine-needle aspiration to identify whether a patient has cancer Individuals with cancer, particularly those who arereceiving systemic anticancer treatments, have been postulated to be at increased risk of mortality from COVID-19 Therefore, it is the need of an hour to implement an early detection of cancer that will prevent patients from COVID-19 and due treatment will be provided Breast cancer that is detected early is far easier to cure, but at the same timeit is difficult to detect An accurate breast cancer staging is an essential task performed by pathologists (experts whoexamine the laboratory samples) to inform clinical management for the appropriate treatment For instance, evaluation of the extent of cancer spread by histopathologic analysis or microscopic examination is an importantpart of breast cancer staging, and the process involves the decision-making of human behavior with time-consumingand costly sample examination and a period of more than one month to have breast cancer type, stage, etc , todecide the appropriate therapy to patients by the time it can affect the results of therapeutic treatments and survivalof patients The application of artificial intelligence (AI) machine learning technology with deep learning algorithms towhole-slide pathology images can potentially improve the diagnostic accuracy of breast cancer at a very early stage I have developed a simple machine-learning model using the Python programming language and neural network, inspired by the structure of the human brain, with 12 attributes, out of which 10 real-valued features from each cellnucleus obtained from the Wisconsin diagnostic breast cancer dataset available in public domain for the educationcapacity that explains about the stage of breast cancer M (Malignant) and B (Benign) This model predicts thepresence of breast cancer with an accuracy of 98 8% at a very early stage The continuous development oftechnology in the medical field will save countless lives and the overall quality of human life will continue to improveover time
To Know, To See (Persepsi Bentuk Dalam Sebuah Ruang)

This work shows how human perception in seeing a form in a space through experience. It also shows how the experience, then turns things, humans, and whatever is in that space- even the space itself -into a relation between them. These aspects giving influence to one another, even influencing our perception through the process of perceiving an object as a whole. In this case, this work presents it in the form of spatial experience construction with motor and laser. Keywords: perception, form, space, human, experience, relation.
Mot en digitaliserad läsundervisning : critical literacy med digitala verktyg på högstadiet

In 2017 the Swedish government initiated a digitalisation process of the Swedish education system by revising the curriculums (Lgr11) to emphasise the importance of digital competence. An ambitious commitment at a national level, however leaving the schools with a great question mark regarding how the digitalisation should be implemented in real practice. Drawing on action research from a Swedish compulsory school in year 9, the present study suggests an educational design regarding on how digital tools could be incorporated into the context of critical literacy in accordance to a sociocultural approach and the TPACK-framework. Key findings are that digital tools could encourage the process of critical thinking by in particular its ability to operate as a sharing platform which enables students to interact and gain access to a diversity of multiple perspectives from the literature. Further findings also display how digital tools could be used to shed light on the democratic processes within the classroom context. These findings could be seen as a contribution to the continuing assimilation of digital tools at a local school level, for teachers to use in their everyday literacy teaching. (Less)
THE ROLE OF TBM SUKAMULYA CERDAS MANAGERS IN INCREASING LITERACY IN THE COMMUNITY ENVIRONMENT THROUGH THE LITERACY  CAMPAIG PROGRAM

The background of the researchers conducting this research is to increase community literacy, but literacy is meant not only that people can read, write and count, but the public can know all important aspects other than education as an investment for the future of them as well as to advance the nation and the State we are in accordance with the times at this time. The current achievement that has been obtained by the Indonesian State is one proof that Indonesia has gone through a literacy crisis in this case literacy. The research objective is to find out how the role of the TBM Sukamulya Cerdas manager in increasing literacy in the community through the village literacy program. Theories used in this research are TBM theory, Literacy theory and literacy village theory. Researchers used interview and observation techniques with qualitative descriptive methods to obtain information from informants. The sample in this study was a TBM manager and three representatives of TBM Sukamulya Cerdas visitors. The results of research at TBM Sukamulya is the role of TBM Sukamulya Cerdas in increasing literacy in the community through the village literacy program that has run well seen from the achievement of increasing the ability of literacy in the surrounding communities through the role of managers who provide programs that are in accordance with the concept of literacy villages. The role of TBM managers is crucial in improving community capacity in literacy.
Developing a Design Tool for Solution Mapping: Translating Practitioners’ Strategies to Support Student Engineers

Her research focuses on strategies for design innovations through divergent and convergent thinking as well as
Mortalidade de profissionais de enfermagem pelo Covid-19 em 2020: Brasil, Estado Unidos, Espanha e Itália

Objective: To analyze the mortality of nursing professionals (PE) by Covid-19 in Brazil (BRA), United States (USA), Spain (SPA) and Italy (ITA) in the first half of 2020. Method: Exploratory, descriptive and quantitative research. The data were requested from the Federal Nursing Council (COFEN) and made available by the International Nurses Council (CIE). After being collected, they were organized in the Microsoft Excel 2016® software belonging to the Microsoft Office 2016® package, and a descriptive statistical analysis was implemented. Results: The universe of 677 death records of PE was identified until 05/19/2020. Brazil registered the largest preponderance accounting for 20.2% (n=137) of the cases, followed by the USA with 13.4% (n=91), Spain with 7.4% (n=50) and Italy with 5.8 % (n=39). Final considerations: There was an increase in the frequency of registration of cases of PE mortality by Covid-19 in the analyzed geographical and historical context.
A Study on Composition, Performance and Development Plan of School Steering Committee

본 연구는 학교운영위원회가 도입된 후 25년이 접어드는 시점에서 경북교육청 관할지역을 대상으로 공립 중등학교의 학교운영위원회 학부모위원, 지역위원 구성실태를 살펴보고 학교운영위원회의 성과, 문제점 및 대안에 대한 의견을 파악하여 학교운영위원회의 학부모위원 및 지역위원 역량 및 인식 개선을 위한 대안을 제시하고자 하는 데 있다. 본 연구는 설문지를 통한 조사 연구를 수행하였다. 경상북도 23개 각 시·군의 공립 중등학교를 대상으로 하였다. 공립 중등학교 학부모 위원 및 지역위원(1,456명)의 약 33%인 480명을 대상으로 하였으며, 불성실한 응답자를 제외한 최종 396명을 연구대상으로 하였다. 학교운영위원회의 구성과 역할에 관한 위원의 인식 분석 결과를 통해 학부모위원 및 지역위원의 대표성이 부족하다는 의견, 학부모위원 구성비율 증대가 필요하다는 의견, 소위원회 설치 및 운영이 활성화되어야 한다는 의견, 학교운영위원회 전문성 강화가 필요하다는 의견이 학교운영위원회 발전방안으로 제시되었다.This study was to suggest the countermeasures in order to improve the parents and regional members competence and perception in the school steering committee as an object of the jurisdiction of Gyeongsangbuk-do Office of Education at the point approaching 25 years after the school steering committee was introduced, by examining the composition status of the parents and regional members in the school steering committee in the public secondary school, and by grasping the opinion about the performance, problems and countermeasures in the school steering committee. Based on such analysis results of the perception by the parents and regional members about the composition and role of school steering committee, the opinion that the representativeness as parents members and regional members were insufficient, opinion that it needed to increase the parents members component ratio, opinion that the installation and operation of sub-committee should be activated, and opinion that it needed to strength the specialty of school steering committee were suggested as development plan in the school steering committee.
Neural network methods in real-time recognition of road infrastructure objects

Abstract The purpose of the work is to study the typification methods of moving objects based on a neural network. It turned out that the use of image classifications is so widespread today that it is difficult to imagine a sphere in which any algorithms are not implemented. The task of the work is developing system for detecting road signs on the video.
Conversation Analysis as a Design Research Method for Designing Socioculturally Contextual Conversational Agents

This research paper presents a study exploring if using the Conversational Analysis (CA) method in design research could result in designing more socioculturally contextual conversational agents. T ...
Comparison Methods for Fuzzy C-Means Initialization Applied to Image Segmentation

Fuzzy C-means (FCM) is one of the most used clustering algorithms, some research seeks to achieve a better quality in the results. It is well known that an adequate selection of the initial centroids will achieve a better clustering result. In this paper, a comparison of some initialization methods applied to the FCM algorithm is made, the experimental results suggest that the K-means++ initialization method is the most suitable for image segmentation, since it produces a better initialization condition, in addition to improve convergence times.
A Comparative Study on Homomorphic Encryption Algorithms for Data Security in Cloud Environment

Data Security in cloud is the prime prerequisite due to the fact of digital violations/ cyber-crimes, hacking and attacks are the common words we hear in day to day digital sectors mainly like banking, healthcare, etc. Nowadays, data is been stored in cloud for easy access and retrieval and the privacy preserving is the biggest challenge in cloud. Henceforth, sensitive data is to be safeguarded before storing it to cloud by encrypting, one among the strongest and secured is homomorphic encryption technique where the operations is on the scrambled information where the computation is been carried out without knowing the actual data and easy to connect in any framework by utilizing different open key algorithms. In this paper, the primary concentrate is on open key cryptographic algorithms in view of homomorphic encryption conspire for protecting security. The contextual investigation on different standards and properties of homomorphic encryption is given as the analyzing proof.
ANALISIS KEMAMPUAN MENCERMATI TOKOH-TOKOH YANG TERDAPAT PADA TEKS FIKSI SISWA SD MELALUI MODEL SQ3R

This article aims to describe: the implementation of the SQ3R model to the ability to examine the characters contained in fiction texts in grade IV students of SDN Ganung Kidul 1 Nganjuk in the 2019/2020 Academic Year. This article is an descriptive qualitative research carried out through five stages, namely: (1) data collection; (2) determination of the sample; (3) recording data; (4) reduction; and (5) drawing conclusions. Data sources in this article are journals and books relating to the learning of the SQ3R model on learning to examine the characters contained in fiction texts. These data provide an overview of the application of the SQ3R model on the ability to examine the characters contained in fictional texts. Furthermore, the object of the research is the learning model SQ3R with a subject of 22 students. The conclusion of the article shows that: this SQ3R model is very good to be applied to the basic competencies of Indonesian language class IV semester II, namely the ability to examine the characters contained in fiction texts.