Reviewerly/exHarmony huggingface dataset:
Metacognitive Online Reading, Navigational Strategies, and the Reading Performance of the Grade 11 HUMMS of Pedro T. Mendiola Sr. Memorial National High School

This predictive, cross-sectional study aimed to determine the metacognitive online reading and navigational strategies and their relation to the reading performance of Grade 11 HUMSS Students of Pedro T. Mendiola Sr. Memorial National High School. Furthermore, the study also investigated which factors of metacognitive online reading and navigational strategies significantly influence the respondents&amp;rsquo; reading performance. One hundred twenty-five (125) &amp;nbsp;students selected through simple random sampling participated in the study. Data were gathered using a Google Form and reading fluency test. Descriptive Statistics such as weighted mean, Pearson- Product correlation, and regression analysis were used to interpret the data. The students&amp;rsquo; extent of the metacognitive online reading and navigational strategies is high, while the students&amp;rsquo; reading performance is instructional. The metacognitive online reading strategy is strongly related to reading performance. The navigational strategy is moderately related to reading performance. All indicators of metacognitive online learning strategy significantly predict reading performance. Only mixed overview as an indicator of navigational strategy significantly predicts the reading performance. Senior High school students who used metacognitive online reading navigational strategies had definite reading goals in mind and knew how to accomplish them. Students need teacher support at the instructional reading performance level. The metacognitive and navigational strategies significantly predict and influence the respondents&amp;rsquo; reading performance.
Face Mask Recognition Using Machine Learning

Abstract: Face mask detection software saves time and effort by automating various processes. A camera is used to capture visual input from a specific area. Then the graphics are compared to the predefined dataset. Determine whether or not a face mask is present. Once we've done that, have the input in graphic form, it can be presented as an input to a deep learning model for action prediction or this is the output that should be served to the user. Then it is necessary for the model to have patterns in which it may operate. Discern between persons who are masked and those who are not. The model will also include the actions that must be completed. When it detects the existence of a face mask, it proceeds to the next step. In addition, the most fundamental requirement for this software is for implementation, python libraries such as tensor flow, numpy, and sklearn are employed in realm of artificial intelligence. A window will appear in response to the user's command and will show the camera's graphics for identifying the face mask and the output will then be displayed based on whether the user is facing up or down. Is there a mask on or not? Face mask detecting software has been developed. In this pandemic period, there are numerous applications. Keywords: OpenCV, Machine Learning, MobileNetV2, Keras are all terms that can be found in the index.
Gathering Public Opinion about an Architectural Project: A Text Mining Approach

Public opinion is growing in importance due to the widespread use of social media and the fact that people freely express their opinions on any subject on social media. It is important to include the public in the built environment because it may provide valuable feedback and enable people to share their skills, contribute to the creation of a solution and a choice, and raise awareness of the value of their neighborhood. The article aims to propose a framework for evaluating how an architectural project is perceived by the general public via the use of a machine learning model. The Tulip Tower in London has been selected as a case study to demonstrate how this framework can be applied in practice. Tweets about the Tulip Tower in London from 2018 to 2021 were collected and then have been reviewed and scored. According to the findings, this approach enables the project's current public opinion to be tracked, public concerns to be identified and addressed in real-time in the early design stage, and the project to be re-evaluated in light of the data collected.
The Utilization of Plantable Paper on Tunas Mobile Application

&lt;p&gt;&lt;em&gt;The replacement of plastic materials with paper materials is considered to be the best solution to save the current waste problem. People generally think that paper material is more friendly to the environment because it is easy to decompose. However, this assumption circulating in the community has an impact on the level of consumption of paper material being unwise. The concept of the waste life cycle is important to understand in this research. That every waste product resulting from every human activity (including paper waste) must have an uninterrupted cycle continuity at the final disposal site in order to be categorized as a sustainable product. By using Human-Centered Design, this research has several objectives, namely utilizing waste (paper) into paper material that can be used as planting media (plantable paper), (2) packaging the concept of instructional information media about farming in a simple way.&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;&lt;p&gt; &lt;/p&gt;
Reimagining the image reconstruction of Candi Badut in Malang through geometry fractal

Badut Temple is the oldest temple on Java Island and a historical relic of the Kanjuruhan Kingdom that collapsed due to natural and human factors. Therefore, this study aims to determine the suitability of the Badut Temple design drawn by B. De Haan. Based on the vastu purusha mandala philosophy, this Hindu-style temple uses repeated divisions of squares to prove that the design of the head of the temple uses Fractal Geometry with the box-counting method. The results showed that the fractal dimension index on the foot, body, and head with a ratio of 1.878: 1.870: 1.872 or be rounded up to 1:1:1. This means that the B. De Haan sketch design is similar to the existing temple. Furthermore, the ratio of the height of the foot, body, and head was 2.35:4.88:6.94 which is simplified to 1:2:3. Therefore, the Badut Temple adheres to the Vastu Purusha Mandala philosophy.
Extrinsic Motivation of Students at SMA Negeri 3 Luwu to Learn English from Home

This study used qualitative research that consisted of ten students from senior high school in Luwu. To determine the extrinsic motivation when the students learn from home, the students answered the interview that consisted of ten items. The study discovered that learning English at home makes children sluggish and that their drive to learn lowers due to their surroundings, teachers, and parents. On the environmental side, disruptions at home, such as the sound of chickens, televisions, car horns, or the unsettling sounds of motorcycles, are common when beginning lessons. On the teacher's side, most teachers give students assignments without thoroughly explaining the material, causing students to be sluggish about taking home lessons, particularly in English subjects. Because they are lazy, teachers are ineffective at carrying out their responsibilities by satisfying the needs of children. Physiological demands, the market to be accepted and loved, the need for self-esteem, and the need for self-realization are all examples. When studying at home, their children's interest in learning is stifled by the lack of parental attention. Children feel abandoned when their parents are preoccupied with their professions. Parents and families must be there for this condition, especially during the learning period. The necessity of parents and families to participate actively in their children's education is vital, especially during a pandemic when teachers and educational facilities are restricted.
Design of Digital Evidence Collection Framework in Social Media Using SNI 27037: 2014

Social media is a place that people use to socialize. In addition to socializing, social media is also often used as a crime medium by certain people. In the evidentiary process, law enforcers have the duty to present the evidence used by the suspect in committing his crime. The method used in collecting digital evidence from social media must have a clear scientific basis and guidelines. If the method used is not known as a theory or method in digital forensics, this will undermine all expert testimony and evidence presented in the court. Making a framework that can be recognized by all judicial administrators (judges, public prosecutors, attorneys for defendants, witnesses and defendants) is a solution that can be used as a standard so that the evidence process runs well. The framework that has been created by the researcher is an update from the previous framework. The framework design is made using the Composite Logic method. The composite logic method will collaborate with the Digital Forensics Investigation Models framework to produce a new framework. Based on existing data and facts, this research has produced a framework with better performance than the previous framework.
ASCENDING TO ONESELF – THE PATH TO HAPPINESS

In the article attempts to answer the question "What is it, happiness? What does it mean to be happy? How to be happy?” through the prism of inner contemplation of oneself and the world. On the basis of theoretical understanding of the problem, one thinks about happiness as a person’s ascending path, understanding oneself as a person who is constantly changing and improving, who wants and learns to be happy depending on the course of their own development. Signs of happiness in the context of ascending self-development are described. Happiness is: inner light; ascending movement; the process of realization of higher meanings and essential purpose; the way to yourself; development of own capabilities; it is a movement from dream to action; personal strength; happiness is original, individual, corresponding to the level of their own development. It is about the role of inner, existential dialogue in achieving happiness. Key words: happiness, signs of happiness, the path to happiness, ascending selfdevelopment, values and meanings, dialogue
ON THE FORMATION OF THE READYNESS OF THE FUTURE OF TEACHERS OF HUMANITARIAN CYCLE SUBJECTS USE OF CURRICULA IN PROFESSIONAL ACTIVITY

Determination o f pedagogical programmatic facilities programmatic facilities o f the educational setting is resulted in the article, specified essence of readiness of future teachers of the articles of humanitarian cycle to application of the educational programs in professional activity, found out its structure and certain criteria.
Listening Teaching Strategies in Online Learning

This study discusses Listening Teaching Strategies in Online Learning. The reason the researcher chose this discussion is that listening is one of the important points in English, where teachers need important strategies to convey every material in listening learning, both directly and through online learning. The researcher's aim in this study was to understand listening teaching strategies in online learning, and the collection method chosen by the researchers in this study was qualitative because the researchers collected data directly through questionnaires given to respondents. All the information that the researchers obtained in this study came from respondents, namely 10 English teachers who teach in junior high schools and have experience teaching listening material to students, either directly or through online learning. The data researcher obtained in this study was sourced from respondents' answers, in this study the researchers discussed in detail and accurately related to Listening Teaching Strategies in Online Learning that can be proven true.&#x0D; Keywords: Online Learning; Listening; Teaching Strategies
Place, space and object oriented learning methods within the Library

A practical reflection of the impact of Escape Rooms style games both physical and digital on the way HE students experience the Library, examined through the lens of place oriented learning and digital learning theories with a particular focus on accessibility and the inclusion of historically excluded groups.We focus on two Escape Room style events, one physical, one digital developed by frontline library staff to support the induction of students in a University Library setting and reflect upon the aims, development and impact of the events.
Analysis of the Need for Development of Blended Learning Model in Early Childhood Education Programs in the Rejang Lebong Region

This study aims to conduct a conditions analysis on developing a composite knowledge model in early childhood education programs in the Rejang Lebong area to grow character values and pupil literacy provocation. This disquisition is part of the RD (Research and Development) disquisition with the ADDIE model (analysis, design, development, performance, and evaluation). However, this research is only limited to the analysis stage, which is to analyze the need for the development of blended learning models in early childhood education programs education to grow character values and student learning motivation. The population in this study were all early childhood education programs teachers in the Rejang Lebong area. The samples taken were 75 people with the probability sampling technique. The study was conducted in October 2021. The instrument used in this study was a needs questionnaire made using a modified Likert scale with 4 answer choices, namely strongly agree, agree, disagree, and strongly disagree. The results of this study are the blended learning model is a learning model needed by early childhood education programs teachers in the Rejang Lebong Regency area, especially during the covid-19 pandemic. This is evidenced by the percentage obtained from the teacher needs questionnaire analysis process, which reached 89.78%, which was categorized as strongly agree. For this reason, further research is needed to develop a blended learning model in early childhood education programs education in the Rejang Lebong area to grow character values and student learning motivation.
Deep Representation Decomposition for Rate-Invariant Speaker Verification

While promising performance for speaker verification has been achieved by deep speaker embeddings, the advantage would reduce in the case of speaking-style variability. Speaking rate mismatch is often observed in practical speaker verification systems, which may actually degrade the system performance. To reduce intra-class discrepancy caused by speaking rate, we propose a deep representation decomposition approach with adversarial learning to learn speaking rate-invariant speaker embeddings. Specifically, adopting an attention block, we decompose the original embedding into an identity-related component and a rate-related component through multi-task training. Additionally, to reduce the latent relationship between the two decomposed components, we further propose a cosine mapping block to train the parameters adversarially to minimize the cosine similarity between the two decomposed components. As a result, identity-related features become robust to speaking rate and then are used for verification. Experiments are conducted on VoxCeleb1 data and HI-MIA data to demonstrate the effectiveness of our proposed approach.
On rate optimal private regression under local differential privacy

We consider the problem of estimating a regression function from anonymized data in the framework of local differential privacy. We propose a novel partitioning estimate of the regression function, derive a rate of convergence for the excess prediction risk over H\"older classes, and prove a matching lower bound. In contrast to the existing literature on the problem the so-called strong density assumption on the design distribution is obsolete.
THE EFFECTIVENESS OF THE COGNITIVE PRAGMATIC AND ITS MECHANISIM IN MR. OBAMA'S FAREWELL SPEECH

This research aims to study Obama's farewell speech when he consigned to the White House a deliberative study through multiple mechanisms. Perhaps the perceptive deliberative approach is the best method for analyzing political discourse, as it can reveal the elements of political discourse, so that other language approaches do not work, and from this concept he saw Research marked by (the efficacy of deliberative perception and mechanism in Obama's farewell speech) explored the deliberative principles and deduced them in Obama's speech. Therefore, this research may seek to study phenomena that have cognitive effectiveness deliberative process, including the efficacy of perceiving implicit (indirect) meanings, the effectiveness of perceiving linguistic circulating signals in their four classes, such as personal signs, spatial signs, temporal signs, social signs, the effectiveness of perceiving pre-assumption, the effectiveness of perceptive dialogue comprehension, and the effectiveness of recognizing the theory of speech actions according to the classification of each of Austin Searle, the effectiveness of the awareness of the principles of speech, and the effectiveness of the awareness of the theory of relevance. The research found that Obama's speech is a good application model for establishing deliberative elements and realizing their effectiveness in it, since it belongs to the field of political discourse, with evidence that his speech is based on multiple cognitive deliberative mechanisms and mechanisms, so that his speech is not without deliberative principles, as the recipient can perceive in his speech. The effectiveness of the realization of implicit meanings, despite its heavy reliance on direct, explicit method and meanings, as well as the presence of linguistic references such as personal references that in his speech overshadowed the use of pronouns denoting the group of speakers (Na) with its two coloring related pronouns and separate pronouns, besides seeking help The limited pre-assumption, and Alastelzam talk show, and the theory of acts of speech, has been taken into account in his speech, the principles of conversational speech as a principle quantity, and the principle of how, and the principle of relevance, the principle of the party, and the principle of politeness, with the violation of every principle of these principles.
Implementasi Metode K-Means Sebagai Upaya Penentuan Lokasi Promosi Penerimaan Siswa Baru

Smart Study Center is a computer course located in Kisaran City, Asahan Regency, North Sumatra Province. This computer-based course has promoted to various places, especially around Kisaran City. But sometimes there are obstacles in doing this, because it is not easy to determine the location of the promotion quickly and precisely. Promotion is the communication of information between sellers and potential buyers or others in the channel to influence attitudes and behavior. In addition, the application of information technology in the field of promotion can facilitate the management of information which, if processed properly, can produce new knowledge that is very useful in making future decisions. It takes research and consideration of many aspects which of course will take a lot of time. The majority of the Smart Study Center Kisaran students come from various public and private vocational high schools and high schools in Kisaran City and its surroundings. This is certainly one of the important factors to promote the acceptance of new students in an effort to increase the number of new students every year. With the application of data mining using the K-Means Clustering method on the acceptance of new students in the Smart Study Center Kisaran course by grouping research object items based on their similarity in nature, so that information will be obtained about which areas have high potential to bring in new students. K-Means Clustering can group large enough data quickly and accurately so that decision making in determining the location of the promotion in the next year can be done effectively and efficiently. The data attributes used in this study are the names of majors such as, TKJ, RPL, and Ms Office. The result of this system is the determination of the location of the promotion with 2 clusters i.e. feasible (C1) and unfit (C2)
Lightweight ECC and token based authentication mechanism for WSN-IoT

The paper deals with Wireless Sensor Networks (WSN) registered in a specific Internet of Things (IoTʼs) network that have different kind of applications.They come into use once they are successfully registered within a specific IoT network.Elliptic Curve Cryptography (ECC) with Token based Security Scheme is proposed here for secured and authenticated communication.A lightweight authentication mechanism is proposed also in order to prevent the network from the unauthorized access.Network nodes are generated with token keys immediately after login, and the gateway generates token ID for each individual nodes.Then elliptical curve cryptography is applied to remove the malicious nodes completely if some adversaries missed out during token key verification process.If the user needs to access the data, he must go through the token key generation and verification phase, as well as through the data integrity and transmission phase.
Essay Assessment toward Determining the Writing Proficiency Level of STEM, HUMSS, and ABM Twelfth Graders

This descriptive- quantitative study is attached to the principles of Process and Product, and Error Analysis Approaches. Its ultimate aim is to identify the writing proficiency level of students enrolled in STEM, HUMSS, and ABM K-12 tracks. Significant differences among the three groups were also ascertained. In doing so, 75 Grade 12 students with 25 students from each of the three tracks took part who were tasked to develop an essay on a given topic. The evaluation was guided by the rubrics introduced by Robitaille and Connelly (2002) and its foci revolved on five components that include content, organization, vocabulary, language use, and mechanics Participation of two inter- raters was also be sought. The written outputs’ assessment revealed that with regard to content and organization, the three groups recorded a good to average writing proficiency level. The vocabulary proficiency noted down a fair to poor remark for STEM students, whereas good to average description was obtained by HUMSS and ABM students. Further, regarding language use, both STEM and ABM students have fair to poor adeptness, while HUMSS group was good to average. As to mechanics component, HUMSS students documented an excellent to very good proficiency while STEM and ABM students’ status is fair to poor. Overall, there is a significant difference among or within the three groups
Sistem Peringatan Dini Kebakaran Dengan Flame Sensor dan Arduino Uno R3

An incident that is unpleasant to hear is that one fire or one in an office building is an omission of human error, caused by cigarette residue, due to LPG gas at home, or a short circuit of electric current that causes a fire and propagates. The level of losses and costs incurred by a fire incident is certainly very large. Fires that occur can be overcome, minimized, and the cost of losses that occur if we know the situation in advance and early on. For this purpose, an intelligent raft device is needed which makes a sound or full sound that there is a fire in the building. to us that there has been a fire in a room or in a public place early so that then designed a tool that can be easily reached and easy to use to prevent fires. Namely designing a fire warning system with a fire sensor and Arduino uno based on the Internet of Things by emitting a sound or sound like an alarm if it detects a fire or smoke near the device at a distance of 20cm to 250cm. This tool is very useful for laboratories because there are many personal computers inside. laboratory and the number of cables that occur in short circuits, the authors want to design and make this tool can be used in the laboratory The device to be built uses a flame sensor and uses a buzzer to make a sound.