Reviewerly/exHarmony huggingface dataset:
Research on the Intelligentized Spreading of Short Videos

With the development and popularization of smartphones, short videos are seeing an explosive growth nearly everywhere.As a new form of mass media, which is easy to produce and fast to spread, short video has been enjoying a very special and important status in information communication and content and entertainment industries.With the advent of 5G technology, how will short video develop?To address this issue, this paper looks into the characteristics and current situation of short video, the features and forms of its intelligentized spreading as well as the problems and trends of its future development.
Integrating Evaluation into Development of Knowledge-Based System for Adaptive E-learning System

One of the main obstacles in knowledge-based systems, particularly in the field of evaluation, is to determine when the development of a knowledge base is complete with valid knowledge available to use. Ironically, this question is not easy to answer, since it involves many aspects in the lifecycle of knowledge-based systems. Some efforts have been introduced in literature, although none have been widely used or even agreed upon. In our investigation, we found that it is possible to provide a ready to use knowledge base without a separate testing phase. This thesis examines the way in which the testing phase could be integrated into the development phase through a statistical monitoring task during the knowledge acquisition process. This research tailored the dynamic evaluation framework and utilised the RDR technology as an incremental knowledge acquisition methodology, with additional statistical analysis to monitor the development of the knowledge base.Using this framework, this thesis presents INCAES, an incremental adaptive e-learning system. The knowledge base was developed incrementally for suggesting learning contents to students. The recommendation was provided by analysing the learner model as a representation of the students in adaptive learning. However, a systematic understanding of attributes of learners is still lacking in the field of adaptive learning, since those attributes are regularly changed and updated. Thus, we keep track by investigating the potential learner’s attributes that could be adapted to the adaptive system from a number of recent works.The evaluation of the theoretical concept has been conducted using two real world case studies. The first case study was applied on the Web Programming subject, while the second case study was applied on the Networking Essentials subject. The test cases generated from learners’ attributes and values were used to evaluate the knowledge base. Different scenarios were provided for the case study. The first scenario dealt with stopping the progress of the knowledge acquisition process at an early stage, while the second scenario dealt with stopping it at a later stage. Following the knowledge base construction, two steps of testing were conducted to measure the performance of the initial knowledge base and the subsequent test set. The results have shown that the framework allows for the rapid development of a knowledge base with valid knowledge inside.
Building Students' Interaction By Using Talking Chips Technique: A Classroom Action Research

This study focuses on building students' interaction by using the talking chips technique, and it aims to find out how the talking chips technique can be applied to build students' interaction and describe the responses toward the implementation of this test of this research was students of SMA Negeri 14 Ambon consisting of 26 students (4 groups) in XI-Science class. The data was collected from classroom observation, weekly observation, and questionnaires. The design was classroom action research. The study concludes that this technique is successfully applied to build students' interaction, and the students have a positive response towards the implementation of this technique. Applying the Talking Chips technique in the learning-teaching process gives students more opportunities to be actively involved and work cooperatively in learning activities. This technique also motivates students to speak or express their ideas; therefore, it has a good impact on the students in building their interaction in the classroom.
THE ANALYSIS OF STUDENTS ENGLISH ABILITY THROUGH SELECTED RESPONSE TYPE BY SOCRATIVE APP.

This paper aims to analyze the students’ English ability through selected response type by Socrative APP. The instruments of the test were multiple choice items and semi-structure interview to the students and lecturers. The tests were used multiple-choice items that consisted of 45 items; 25 items for structure and for reading sections 20 items. The test was designed based on the validity, reliability and curriculum. The sample of this research was 32 students of the first semester in Musi Rawas University. The result of this study showed that the students were mastered structure/grammar section more rather than reading section test. Their lecturers often taught grammar rather than reading and their lack of interest in reading were the reasons.
Trust based blockchain security management in edge computing

In this paper, an analysis is conducted on the data transmitted through the edge computing technique. The research creates a trust model that establishes direct, indirect, and mutual trust between the source and destination blocks when data is sent. That is, the study integrated blockchain as a model to transmit the data in a secured way through the blockchains, however, the intrusion in blockchains can be avoided based on trust based model. The simulation is conducted on various testbeds and with existing blockchain mechanisms. The findings reveal that the suggested trust-based paradigm is successful at safeguarding data sent over the edge.
LibGuides: Editing and Revising Resources: 1. Tips for you

Learn about self-editing strategies, how to work effectively with an academic editor, and tips for reviewing other people's writing
An Investigation into Modern Facial Expressions Recognitionby a Computer

Facial Expressions Recognition using the ConvolutionNeural Network has been actively researched upon in the last decadedue to its high number of applications in the human-computerinteraction domain. As Convolution Neural Networks have theexceptional ability to learn, they outperform the methods usinghandcrafted features. Though the state-of-the-art models achievehigh accuracy on the lab-controlled images, they still struggle forthe wild expressions. Wild expressions are captured in a real-worldsetting and have natural expressions. Wild databases have manychallenges such as occlusion, variations in lighting conditions andhead poses. In this work, I address these challenges and propose anew model containing a Hybrid Convolutional Neural Network with aFusion Layer. The Fusion Layer utilizes a combination of theknowledge obtained from two different domains for enhanced featureextraction from the in-the-wild images. I tested my network on twopublicly available in-the-wild datasets namely RAF-DB andAffectNet. Next, I tested my trained model on CK+ dataset for thecross-database evaluation study. I prove that my model achievescomparable results with state-of-the-art methods. I argue that itcan perform well on such datasets because it learns the featuresfrom two different domains rather than a single domain. Last, Ipresent a real-time facial expression recognition system as a partof this work where the images are captured in real-time usinglaptop camera and passed to the model for obtaining a facialexpression label for it. It indicates that the proposed model haslow processing time and can produce output almostinstantly.
DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data Generation

We propose a differentially private data generation paradigm using random feature representations of kernel mean embeddings when comparing the distribution of true data with that of synthetic data. We exploit the random feature representations for two important benefits. First, we require a minimal privacy cost for training deep generative models. This is because unlike kernel-based distance metrics that require computing the kernel matrix on all pairs of true and synthetic data points, we can detach the data-dependent term from the term solely dependent on synthetic data. Hence, we need to perturb the data-dependent term only once and then use it repeatedly during the generator training. Second, we can obtain an analytic sensitivity of the kernel mean embedding as the random features are norm bounded by construction. This removes the necessity of hyper-parameter search for a clipping norm to handle the unknown sensitivity of a generator network. We provide several variants of our algorithm, differentially-private mean embeddings with random features (DP-MERF) to jointly generate labels and input features for datasets such as heterogeneous tabular data and image data. Our algorithm achieves drastically better privacy-utility trade-offs than existing methods when tested on several datasets.
Pelatihan dan Uji Kompetensi Ujian Nasional Desain Web Tingkat di SMK Teladan Pematangsiantar

Web design is usually applied to digital media such as websites. This will relate to web development which is the development of a website that demands functionality and requires the essence of art in design. Indirectly, this website design includes the terms used in making designs. Focus on the appearance, but will not eliminate the main function of the website that is being designed. Able to provide additional convenience for visitors and website readers. For the purpose of making your own web design by becoming one of the communication media. This goal will convey information in real time and quickly. Meanwhile, in making your own design, the website requires special skills. Therefore, web design training is deemed necessary to be applied to entities that concentrate in the field of software engineering since school age. The training and competency test for the National Examination is carried out using the method of delivering lectures on web design material, questions and answers and discussions, practicum and evaluation of the results of the practicum.
Data Security in Mobile Cloud Computing: A State of the Art Review

Due to tremendous use of smartphones the concern of cloud computing in mobile devices emerges, which is known as Mobile Cloud Computing (MCC). It involves the usage of mobile devices and cloud computing to perform resource intensive tasks using the internet with minimum impact on cellular resources. Nowadays, people are relying on mobile devices due to their small size and user friendly interface but due to its limited storage capacity, people can no more rely on internal RAM. Therefore, this promotes a drastic need for technology to make it possible for anyone to access their data anywhere anytime. As a result, Mobile Cloud Computing facilitates mobile users with its enticing technology by providing its on-demand and scalable services. But privacy and security are the main concern for a mobile user in the modern era. Thus, issues regarding security can be divided into cloud security and mobile network user’s security, respectively. However, the primary focus of this study is to analyze how to secure the user's data in a mobile cloud. Leading to objectives, the current study presents a comprehensive analysis of existing techniques that can be considered for securing data in MCC efficiently. Moreover, this work will contribute a state-of-the-art roadmap to research and development communities for the right selection of proposed approach.
Automatic Attendance System Using Face Detection With Faster RCNN in Python

Now-a-days, presenty is that the major think about colleges or big organizations. In manual presenty system, It takes an excessive amount of time or sometime happens to miss someone or take multiple presenty. Deep learning based application algorithms, mostly utilized in face identification. In this paper, inset Haar cascading algorithm as well as Faster RCNN algorithm. Take comparison between these two algorithm & choose the simplest suitable for face identification with minimum time. Faster RCNN which has impressive leads to object detection. The Faster RCNN is that the recently developed method or technology of C.N.N. C.N.N has ability improve the charactericts of picture s. Face database is collected to acknowledge the scholar face. . This system is real-time system, which uses open source picture processing framework referred to as Open CV. These system automatically creating presenty & sends the messages to parent and teacher.
Visible-wavelength Entangled Photon Source for Quantum Communication and Quantum Imaging

We present a polarization entangled photon pair source in the visible light range (532 nm) bright enough for exploitation in quantum communication and sensing. Its suitability for low cost and low jitter detection is studied.
Exploring Factors Encouraging Teachers’ Pursuit of Postgraduate Education and Barriers that Impeded Their Postgraduate Education

This study aimed to explore the factors that encourage teachers who currently continued with a postgraduate education with Master’s program to pursue postgraduate education and barriers they faced in undertaking postgraduate education. Participants consisted of 295 teachers (170 women and 125 men) enrolled in a Master’s level program in any branch of science in the basic field of educational sciences at a state university. Data were collected through the use of a-5-Likert type scale. A crosssectional research design, which is one of the types of screening research, was used and descriptive statistics were used in the analysis of study data. The results yielded three findings: First, career development, academic autonomy, confidence in decision-making, critical thinking, and acquisition of knowledge and skills were found as factors influencing the teachers’ pursuit of postgraduate education, but career development and academic autonomy were the predominant reasons for pursuing postgraduate education. Second, there was strong agreement among the teachers that postgraduate education experiences did not increase their job satisfaction. Third, among the barriers to postgraduate education highlighted by teachers were the difficulty in finding a work-study-life balance whilst undertaking postgraduate education, stress when undertaking in postgraduate education while working, and the need for resources and support for postgraduate study to be successful, but stress and difficulty in work-life balance seem to the prominent barriers, that impeded the teachers’ postgraduate education. Findings indicate that postgraduate education seems by participants in this study not only as an effort to develop a future plan but also as a field of activity that could influence teachers’ work and social life.
방위산업에서 부정당업자 제재 개선요인 우선순위 연구

The purpose of this study is to draw priority of the improving factor of the sanctions for improper businessman, which reflect the characteristics of the defense project, to prevent sanctions for improper businessman from occurring, and to rationally improve the imposition of excessive of the sanctions for improper businessman to increase the efficiency of defense industry development and defense procurement. This study suggested improvement factors by the researcher by analyzing the theoretical consideration and prior research, and the causes and conditions of the occurrence of the sanctions for improper businessman, reflecting the opinions of experts related to the defense procurement project, and derived the nine improvement factors of the sanctions for improper businessman. Based on the results, analysis and policy suggestions were presented based on the results.
Look before You Leap! Designing a Human-centered AI System for Change Risk Assessment

Reducing the number of failures in a production system is one of the most challenging problems in technology driven industries, such as, the online retail industry. To address this challenge, change management has emerged as a promising sub-field in operations that manages and reviews the changes to be deployed in production in a systematic manner. However, it is practically impossible to manually review a large number of changes on a daily basis and assess the risk associated with them. This warrants the development of an automated system to assess the risk associated with a large number of changes. There are a few commercial solutions available to address this problem but those solutions lack the ability to incorporate domain knowledge and continuous feedback from domain experts into the risk assessment process. As part of this work, we aim to bridge the gap between model-driven risk assessment of change requests and the assessment of domain experts by building a continuous feedback loop into the risk assessment process. Here we present our work to build an end-to-end machine learning system along with the discussion of some of practical challenges we faced related to extreme skewness in class distribution, concept drift, estimation of the uncertainty associated with the model's prediction and the overall scalability of the system.
Analisis Daya Dukung DAS Berdasarkan Kriteria Tata Air dan Daya Tampung Beban Pencemaran Sungai Gedek

The increase in population every year and rapid economic development cause environmental problems related to the use of air resources. A need as what condition the water system to monitoring area stream the river in which to a variety problem environment. The purpose of this study was to determine the value of the load carrying capacity and assess the carrying capacity of the water management criteria. Based on the calculation of the pollution load capacity in class I, the parameters DO, COD, BOD, TSS and Ammonia exceed the load capacity of each of 3,325.07 mg/l, -9,872.32 mg/l, - 799,0063 mg/l, -271,705.21 mg/l, -664.06 mg/l. In class II that exceeds the load carrying capacity, the parameters DO, TSS, and Ammonia are 1,425.08 mg/l, -262.704.016 mg/l, -569.0619 mg/l, respectively. In class III, which exceeds the carrying capacity of the pollution load, the parameters DO, TSS, and Ammonia are 475.01 mg/l, -214.704.016 mg/l, -284.0558 mg/l, respectively. In class IV all parameters meet the pollution load capacity. The carrying capacity value based on the criteria of quality, quantity, and water continuity (water management) is 102.5 % included in the category.
Robust Performance of Superconducting Nanowire Single Photon Detectors under High Magnetic Fields

We characterize amorphous superconducting nanowire single photon detectors in magnetic fields of -6T to 6T, enabling integrated quantum devices. We report a substantial anomalous asymmetry in the field dependent response.
Subject Guides: Open Access Resources in German Studies (OARGS): Audio-Visual

A partial and selective inventory of open access materials for German Studies. A resource may appear in more than one category. Images and sound--streaming and otherwise--openly available for German Studies. This includes maps, photo archives, sound recordings, films and the like.
A framework for adopting blockchain technology inmedical health records in Nigeria

Although Nigeria is one of the countries seeking to adopt modern technologies to solve its economic, health and other problems. However, Looking at the challenges, Nigeria still lack to adopt the Blockchain technology in healthcare providers to solve almost all of these issues. This may be due to the political issues of the state, and perhaps lack of infrastructure, awareness, education, cultural heritage Moreover, more important is the lack of effective model for adoption Blockchain technology in medical healthcare in Nigeria. Therefore, the attention of this study is to develop a framework to for adopting Blockchain technology in medical health data records in Nigeria.
Securing IoT dataset using blockchain technique

IoT is still a relatively new concept, but it has a lot of potential in its early stages, it will soon have a significant impact on almost everything we use on a daily basis. The more it is associated with our way of life, the greater the likelihood that it will be mistreated. It is vital to protect IoT devices from breaking. Very soon, IoT will expand the territory for digital assaults on homes and businesses by integrating previously disconnected items into on-line frameworks. Existing security advancements are insufficient to address this issue. As a possible solution for future IoT frames, the Square Chain has emerged that are more secure. This article will primarily provide blockchain technology overview and implementation, then discuss IoT foundations based on blockchain organization, and finally discuss a blockchain-based model for IoT security.
THE EFFECT OF TALKING STICK METHOD ON STUDENTS’ VOCABULARY MASTERY AT THE SEVENTH GRADE OF SMP SWASTA DARUSSALAM MEDAN

This Study was aimed to find the empirical proof of The Effect Talking Stick Method Students’ Vocabulary Mastery by using Talking Stick. The method that was a quantitative method. The design of this study was experimental study. This study was 60 students of seventh grade. The instrument of this study was test. The tets were divided into two, there were pre-test and post-test. The data that were obtained from test analyzed by using SPSS statistic 25 program. The result of the study showed that the mean score of post-test in control class was 68.50 while the mean score of post-test in experiment class was 85.33. Based on the criteria of hypothesis test that if sig. 2 tailed (p) was lower than alpha (α) 0.05, the Ho(Null Hypothesis) was rejected and Ha (Alternative Hypothesis) was accepted. In this study, the result of sig. 2 tailed was 0.000 and it proved that p&lt;α . It showed that there was a significant to Talking Stick Method Students’ Vocabulary Mastery
Business Model Canvas / Wan NurFazlin Natasha Wan Hussin

Anlenes was started on early 2020. Anlenes is a company that sells milk. Anlenes is specialist in bone health milk products and the leading adults‟ milk brand. Besides, Anlenes is a brand milk product as the first high calcium dairy product marketed which specially formulated to encourage optimal bone health. Our customers consists of people of many age from different walks of life that are interested and adventures in trying our product as the product that our company provide is not common in the business market. Hence, our company decides to venture in selling tablets milks with the different flavour. Our main location for our company is located in Shah Alam. Anlenes marketing strategy is to provide the best milk and also to offer our customers with affordable and reasonable prices as most of the population in Shah Alam are young adults and older adults. Our product is promoted through social media as it an easy platform to use and able to spend the word around fast.
Inovasi Sandal Refleksi Berbahan Dasar Sekam Giling sebagai Peluang Usaha Mahasiswa STKIP PGRI Jombang

The goal is to utilize the husk waste which is still very lacking, the abundant husk waste is mostly just piled up around the mill. There are also those who sell at very low prices. The husks are found in many villages. One of them is Genukwatu Village.Methods used 1. Survey of Tool and Material Availability and Reflection Product Competitors, 2 Creating Sarekamling Product Concepts and Designs, 3.Creating Virtual Product Marketing Concepts. If successfully made, this product can reduce husk waste which has been underutilized so far. In addition, this product will have a great opportunity to be developed because this product is a reflection sandal product that has several advantages over other reflection products. Sarekamling is a new breakthrough for reflective sandals using the basic material of milled husks. This sandal is combined with blackjade stone which has various health benefits. This product is expected to be an alternative health product that can be used at any time without pain but can be obtained at an affordable price. This product is pegged at a price of IDR 106,000.00.