Reviewerly/exHarmony huggingface dataset:
THE EFFECTS OF READING HABIT AND GRAMMAR MASTERY TOWARDS STUDENT'S READING COMPREHENSION

The aim of this research are to find: 1) The effects of Reading Habit and Grammar Mastery jointly Towards Student’s Reading Comprehension. 2) The Effects of Reading Habit Towards Student’s Reading Comprehension. 3) TheEffects of Grammar Mastery Towards Student’s Reading Comprehension. The method used is survey method. The instruments were used multiple choice and questioner. Total samples of this research followed by 75 students with a cluster simple random technique. The result showed: 1)There are significant effects of reading habit and grammar mastery jointly towards the student’s reading comprehension. This is proved by the value of sig.0.000&amp;lt;0.05 and F&lt;sub&gt;observed&lt;/sub&gt;=52.564. 2) There is a significant effect of reading habit towards student’s reading comprehension. This is proved by the This is proved by the value of sig.0.000&amp;lt;0.05 and t&lt;sub&gt;observed&lt;/sub&gt;=7.620. 3)There is significant effect of the grammar mastery towards student’s reading comprehension significantly. This is proved by the This is proved by the value of sig.0.000&amp;lt;0.05 and t&lt;sub&gt;observed&lt;/sub&gt; = 6.100.
EVALUATING LESSON PLAN OF LISTENING COMPREHENSION

In Listening class the learner are demanded to be a critical thinker who can identify something explicitly stated in spoken text. Identifying the main idea means the students were able to engage the studentsâ€™ in listening, such as they are able distinguishing the main idea from supporting details, distinguishing fact, example, and opinion. This study aims at examining the lesson plan of listening especially in identifying the main idea in spoken text, whether the lesson plan has fulfill the indicators of understanding main idea in spoken text or not. This study also attempts to analyze the studentsâ€™ feedback to the lesson plan regarding to their learning improvement. Thus, this study also identifies the gap between the lesson plan and the impact toward the studentsâ€™ performance in listening. The researcher uses a survey checklist focusing on the key elements of the self-evaluation of a teacherâ€™s lesson and questionnaire for studentsâ€™ appraisal. Their responses are analyzed by using a document analysis and questionnaire description. Based on data analysis, the present lesson plan meets out its objectives to certain point but not completely. The result shows that most of the statements based on the key elements of the lesson plan fall into the category of â€œmoderateâ€ it is suggested that the lesson plan should be revised so that it fulfills the objectives of the course completely. Considering the studentsâ€™ course evaluation the lesson should be updated.
LibGuides: Making Music With Apps: Main

The New York Tech library has many items available for making music. However, since we've had to close the physical library during the COVID-19 pandemic, the librarians have compiled a list of alternative options that you can access from home.
Information integration using the Typed Graph Model

Schema and data integration have been a challenge for more than 40 years. While data warehouse technologies are quite a success story, there is still a lack of information integration methods, especially if the data sources are based on different data models or do not have a schema. Enterprise Information Integration has to deal with heterogeneous data sources and requires up-to-date high-quality information to provide a reliable basis for analysis and decision-making. The paper proposes virtual integration using the Typed Graph Model to support schema mediation. The integration process first converts the structure of each source into a typed graph schema, which is then matched to the mediated schema. Mapping rules define transformations between the schemata to reconcile semantics. The mapping can be visually validated by experts. It provides indicators and rules to achieve a consistent schema mapping, which leads to high data integrity and quality.
지진가속도 계측 및 지진관측소 구축 타당성 연구

Therefore, it was agreed that an earthquake monitoring station should be set up within the site of Handong University by analyzing drilling data and Disaster such as earthquakes is urgently needed to prepare for earthquakes in that people’s lives and national development depend on the nation’s ability to manage disasters. Many experts say that the Korean Peninsula is also under the influence of earthquakes and is not a safe zone for earthquakes. A seismological observatory will be established in Pohang to monitor ground sensors and study seismic characteristics through the task of “Development of Smart Sensor-based Intelligent Information Platform in Earthquake Region.” Therefore, it was agreed to set up a seismological observatory within the site of Handong University by analyzing drilling data and conducting on-site surveys in northern Pohang, which were heavily damaged by liquefaction and earthquakes. In this study, it was decided to make a comprehensive judgment by considering the geological characteristics of the site, whether it can perform functions, and the convenience of construction and maintenance for the final site of the seismological observatory discussed with Handong University. After completing a feasibility review on selecting a site for Handong University, we will establish a seismological observatory and actively utilize it for seismic research using data from alarm issuance and seismic data in the event of a future earthquake.
Application and Technology Network of Standard Essential Patents in Machine Learning

The development of artificial intelligence has caused rapid growth in the industrial applications of machine learning. Studies on technology trends have mostly focused on patents applied to or approved by major patent offices and few studies have investigated standard essential patents (SEPs). Although recent studies have explored SEPs, most have only discussed legal regulations and intellectual property rights or current developments in SEPs and SEP declarations.
SISTEM KEAMANAN OPERASI LINUX UBUNTU IPTABLES SEBAGAI FIREWALL DI DINAS PENDIDIKAN KABUPATEN SERANG

Abstract - Network security is needed by both individuals and agencies. Threats from intruders who intend to destroy or steal important information or data through computer networks. Several types of network security consist of several ways, one of which is a firewall, many firewalls are chosen because they are more effective and easier to implement. Implementation of a firewall security system using the Iptables configuration as an alternative way to secure data from unscrupulous persons or parties. The purpose of this research is to make a firewall operating system using linux-based iptables that can meet the need for a computer network system, the benefit of this research is to reduce the level of risk of destruction or theft of files or information. The method used is in observation research, interviews and designing the Linux operating security system Ubuntu iptables as a firewall in the education office of the Serang district. The results obtained from this study are the use of Iptables configuration on the Ubuntu linux operating system can be done on LAN and Wifi cable connections, as long as all clients are in the same class, Iptables configuration can block client access to the server and can be done the other way around, namely blocking server access. towards the client. From the results of research conducted on several PCs with multiple network connectors, Iptables configuration can work and does not affect the OS used, because the Iptables configuration uses Linux OS where the client uses Windows OS.
Comparative analysis of approaches to source code vulnerability detection based on deep learning methods

The object of research of this work is the methods of deep learning for source code vulnerability detection. One of the most problematic areas is the use of only one approach in the code analysis process: the approach based on the AST (abstract syntax tree) or the approach based on the program dependence graph (PDG). In this paper, a comparative analysis of two approaches for source code vulnerability detection was conducted: approaches based on AST and approaches based on the PDG. In this paper, various topologies of neural networks were analyzed. They are used in approaches based on the AST and PDG. As the result of the comparison, the advantages and disadvantages of each approach were determined, and the results were summarized in the corresponding comparison tables. As a result of the analysis, it was determined that the use of BLSTM (Bidirectional Long Short Term Memory) and BGRU (Bidirectional Gated Linear Unit) gives the best result in terms of problems of source code vulnerability detection. As the analysis showed, the most effective approach for source code vulnerability detection systems is a method that uses an intermediate representation of the code, which allows getting a language-independent tool. Also, in this work, our own algorithm for the source code analysis system is proposed, which is able to perform the following operations: predict the source code vulnerability, classify the source code vulnerability, and generate a corresponding patch for the found vulnerability. A detailed analysis of the proposed system’s unresolved issues is provided, which is planned to investigate in future researches. The proposed system could help speed up the software development process as well as reduce the number of software code vulnerabilities. Software developers, as well as specialists in the field of cybersecurity, can be stakeholders of the proposed system.
SCELC: The Early Years

This is part one of a two-part series on the SCELC library consortium which focuses on the history of the organization, governance, staffing, and the early evolution of services. Part two, which will appear in the next JLA consortia column will focus on SCELC’s financials, licensing, business models, key initiatives, programs, and future directions.
VIADAT-STAT (2019-12-31)

A VIADAT module; the purpose of VIADAT-STAT is statistical analysis of recordings stored by the platform.Developed in cooperation with USD AV CR and NFA.
Arquivos privados em espaço público: estudo de caso em arquivos públicos brasileiros: estudo de caso em arquivos públicos brasileiros

The new research demands led the Archives to rethink their lines of action and the very concept of a document of public interest. From this, the archival institutions started to acquire collections of private origin as personal, business, family and other archives. These incorporations can be seen as an attempt by the Archives to collaborate, by making new sources available, for the construction of History. The present work proposes to present a survey on the application used by the public archives of the Brazilian states of southeastern Brazil to evaluate and acquire records. For the development of this research, we opted for the application of the multiple case method study, with the research process divided into three stages: the first stage consisted of a theoretical / exploratory survey on introductory topics; a second stage consisted of applying the case study to the four public archives of the states in southeastern Brazil; the third step consisted of analyzing the collected data, using the data triangulation method. From the collected data collected so far, it was possible to identify that no state archive in southeastern Brazil has a policy for acquiring regulated private records.
Deep capsule network regularization based on generative adversarial network framework

Deep capsule networks have more capsule layers, which makes their performance better on complex images. However, with the increase of layers, overfitting will become more serious. Image reconstruction is an effective regularization method for capsule networks. To improve it, we propose an adversarial decoder that introduces the generative adversarial network framework into the reconstruction process to implement learnable reconstruction losses. This architecture consists of three parts: a deep capsule network, a decoder, and a discriminator. The deep capsule network extracts feature capsules from input images, which are then reconstructed by the decoder. The discriminator is the learnable reconstruction loss function that evaluates the similarity between reconstructed images and input images. Minimizing this learnable reconstruction loss and mean square error of images provides a regularization effect for the deep capsule network. Experimental results show that our models have a competitive performance of regularization on CIFAR10, CIFAR100, and FMNIST.
Analysis of heart murmur and its classification using Image-Based Heart Sound Signal with Augmented Reality

In this paper, a heart sound signal is obtained from a stethoscope and converted into a wave pattern using a phonocardiograph (PCG). Various cardiac sound signal wave patterns obtained from PCG may have normal and abnormal sound signals. Abnormal sound signals are called heart murmurs. These sound signal wave patterns are to be made available in the form of a JPEG image which is in detecting heart abnormalities. Augmented Reality (AR) is a new technology in which computer-generated material such as graphics, text, audio, and objects are superimposed over a display screen to increase one's view of the real-time world. The proposed framework is a mobile-based Android application that would work for all current and future versions of the operating system. In a marker-based augmented reality device, this approach allows the user to see the simulated object in the physical world. Image of the entity that is registered wave patterns of PCG signal could be provided by the consumer. The device is designed to detect the captured JPEG image pattern of the cardiac murmur signal and identify it using the hamming distance technique in this study. A new image pattern is formed as a result of the combination of the real world and generated objects, and it appears as if the real-world object and virtual object coexist within the environment. This is accomplished by the use of an Android-based handset. It is convenient and affordable since the consumer does not need to invest in costly and costly equipment such as an ECG machine, a treadmill, or an echo machine, among other options.
Design and Build Distance Learning Media Based on the Business Simulator-Integrated (SIMBIZ-Integrated) Application to Support the Learning Process of Students Affected by the COVID-19 Pandemic

The COVID-19 pandemic has a very broad impact. This pandemic not only affects health, but also education. This is because measures to prevent the spread of the virus require the application of physical distancing. With the application of physical distancing, conventional learning in the classroom cannot be implemented, so distance learning media is needed to continue the teaching and learning process. Learning media in an educational context is a very strategic instrument that helps determine the success of the teaching and learning process. This is because with their limitations, humans are often less able to capture and respond to things that are abstract or that have never been recorded in their memory. Media can support learning by providing a deeper understanding of the material being discussed. This study aimed to design, build and test a business simulator application integration system (SIMBIZ-Integrated) as a distance-learning medium that could help the learning process which has been disrupted due to the COVID-19 outbreak. In addition, this research examines the current conditions of media utilization in distance learning and the effectiveness of the use of business application media in introductory business courses.&#x0D; Keywords: Distance Learning Media Integration System, Integrated Business Simulator Application (SIMBIZ-Integrated), Prevention of the Impact of the COVID-19 Pandemic
Effectiveness of Interactive Book in Improving Nutrition Knowledge Among Preschoolers

Education on healthy eating during childhood plays an important role in ensuring healthy growth among children. One of the methods of doing so is by using age-appropriate education tools/materials such as interactive book prepared and used in this study along with that. This cross-sectional, quasi-experimental study was to assess the effectiveness of interactive book in improving knowledge level on healthy diet among preschoolers in Bangi, Selangor area. A total of 116 subjects (aged 4-6 years) (60±10 months) were recruited (58 subject each for Intervention Group and Control Group) from five kindergartens in Bangi. A same set of questionnaires to test effectiveness was used for the assessment purpose and only Intervention Group was exposed to the interactive book. Knowledge level (score) for the Intervention Group were 25±5 for pre-test (before intervention) and 29±4 for both post-test I (right after intervention) and post-test II (one-week after intervention); while for Control Group were 26±4 for pre-test and 26±5 for post-test (one-week after pre-test). Significant increase in knowledge level (p&lt;0.001) among tests was shown in Intervention Group and difference (p&lt;0.001) compared with Control Group (p=0.077). Hence, this study proved interactive book’s effectiveness in improving knowledge level on healthy diet among preschoolers. DOI : http://dx.doi.org/10.17576/JSKM-2021-1902-10
Supporting long distance entanglement distribution with room temperature quantum repeaters

Distributing entanglement over long distances is a core challenge of Quantum Communications. Quantum repeaters, hosting entanglement swapping protocols, have been proposed as a viable solution, though they have yet to be realized commercially. Basic research groups have demonstrated memory-assisted entanglement swapping using NV diamond centers or cold atomic vapor memories. Qunnect is building a product suite to support entanglement swapping based on warm atomic vapor. While the engineering of these systems is challenging, the elimination of extreme cooling and vacuum support provides numerous advantages for network scalability. I will discuss our progress to date and upcoming fiber testbed demonstrations.
Pedagogy the Effectiveness of the Use of Design Technology in the Development of Research Activities of Students in the Process of Biology Education in Higher Education Institutions

In educational practice, most of the knowledge is presented ready-made and does not require additional research efforts, but the main challenge for students is to search for information independently, to acquire knowledge. Therefore, one of the most important conditions for increasing the effectiveness of the educational process is the organization of educational and research activities of students and the main component of which is the development of research skills. The project method allows students, on the one hand, to independently acquire new knowledge and methods of work, on the other hand, to create conditions for the practical application of previously acquired knowledge and skills.
An Affective Aware Pseudo Association Method to Connect Disjoint Users Across Multiple Datasets–An Enhanced Validation Method for Text-Based Emotion Aware Recommender

We derive a method to enhance the evaluation for a text-based Emotion Aware Recommender that we have developed. However, we did not implement a suitable way to assess the top-N recommendations subjectively. In this study, we introduce an emotion-aware Pseudo Association Method to interconnect disjointed users across different datasets so data files can be combined to form a more extensive data file. Users with the same user IDs found in separate data files in the same data set are often the same users. However, users with the same user ID may not be the same user across different datasets. We advocate an emotion aware Pseudo Association Method to associate users across different datasets. The approach interconnects users with different user IDs across different datasets through the most similar users' emotion vectors (UVECs). We found the method improved the evaluation process of assessing the top-N recommendations objectively.
Aromatic Gel Pillow / Aliff Husairy Abdul Halim … [et al.]

The overview of this Business Model Canvas (BMC) is we managed to get a lot of new knowledge and information about business and entrepreneurship world. This business is a partnership business. We began this business to provide our customer with good quality product and to reduce the burden or problems borne by the consumer such as back pain, headaches, stiffness, and insomnia. Our business, aromatic gel pillow has grown quite substantially from the beginnings, and today Cool-Gel Tech has provided various design of aromatic gel pillow for our beloved consumers. As we know, there are many other businesses or company that sell cool gel pillow nowadays. Thus, we decided to start-up this business and keep improvising our product to satisfy the needs of our customers and to generate more profit and revenue. We choose to establish our business is because there is a high demand from customers especially in Malaysia because when temperatures climb high, they will need this kind of product to solve all the sweaty night-time problems. In this Business Model Canvas, we managed to analyze several information regarding our business such as our customer relationships and target customer. The Business Model Canvas is vital in a business because it helps visualize what is important and forces users to address key areas and in fact, we can improvise our product from time to time.
Personalizing the explanation extraction in Intelligent Decision Support Systems

The use of black-box models compromises the adoption of Decision Support Systems because they tipically do not allow the decision maker to understand how decisions are issued by the system. Even with the growth of the Explanable Artificial Intelligence area, little has been done to personalize the explanations generated in the context of these systems. This article presents an approach to customize explanations of decisions using a graph to mediate inferences. Proofs of concept and analysis of simulated decisions are presented. The results suggest that the approach provided the systems with the ability to issue satisfactory explanations, customizing them for simulated user profiles as long as reasonable levels of accuracy were maintained.
A study for the realization of play-oriented Christian education for infants and toddlers

This study investigated the importance of play-centered early childhood(infants and toddlers) education from the perspective of Christian education in a time when play emerged as an important core of the national-level early childhood curriculum. This study would like to analyze the core problems encountered when realizing play-centered early childhood Christian education, and explore alternatives and strategies. The research problems of this study are as follows. 1) Why is play important for early childhood (Christianity) education? 2) What are the problems encountered when implementing play-oriented education in the field of early childhood education, and how is the problem discussed in General Education of Early Childhood? 3) What is the Christian educational response and strategy to these problems?.<BR> This study presents Christian educational alternatives focusing on four key issues of play-oriented education that are discussed in general early childhood education. In other words, we present early childhood pedagogical discussions and Christian educational responses and strategies on issues of play and curriculum relationships, problems of teacher intervention, play type, play environment, and playground.