Reviewerly/exHarmony huggingface dataset:
Innovative and Effective Teaching Strategies for Online Education

There is no doubt that online learning and the development of online courses is proliferating.The convenience of working online has proven to be very attractive to students and instructors alike.Despite its popularity, online learning is not without its challenges.As instructors are finding their way in the online environment and paying more attention to good course design and delivery, they are discovering that traditional forms of assessment of student work such as tests and quizzes that served them well in the face to face classroom may not work quite as well online.Milam, Voorhees, and Bedard -Voorhees ( 2004) note, "The online paradigm holds that learning itself may be different in the online environment and, if that is true, then the methodology for measuring it should also be different or should measure those things that are, in fact, different" effective assessment has come increased concern about academic honesty, raising questions like these:• How do I, as the instructor, know that students really understand and can apply the material I' m teaching if I can' t sees them?• How can I ensure that students won' t cheat on exams or other assessments in my online course?In these fields, assessment criteria cannot be too precise or rigid, as building arguments that provide new insights is the benchmark of good performance.Jones, Voorhees, and Paulson (2002) define competencies as "the combination of skills, abilities, and knowledge needed to perform a specific task".Competencies support the dynamic link between knowing and expressing.Once competencies are established, the next level of focus should be the development of course outcomes.Course outcomes are important in that they help students learn more effectively and make it clear what students can expect to gain from taking the course.Collaborative effort helps learners achieve a deeper level of knowledge generation while moving from independence to interdependence, thus strengthening the foundation of an online learning community, which we believe is the vehicle through which the course should be delivered.By learning together in a learning community, students have the opportunity to extend and deepen their learning experience, test out new ideas by sharing them with a supportive group, and receive critical and constructive feedback.The Teacher Accurately Demonstrates Knowledge of the Content Area and Approved Curriculum.
The Effect of Deblurring on Matching of Motion Blurred Remote Sensing Images

Image matching for blurred images is one of the most important and frequently discussed topics. In order to improve the precision of image matching for blurred images, we add a deblurring process before matching. Due to the ill-posedness of the deblurring problem, we use an image sparsity prior combined with patch-wise minimal and maximal pixel of latent image. Half quadratics splitting algorithm is applied under the maximum a posterior (MAP) framework. Six classical feature descriptors are utilized to implement the image matching. Five evaluation indexes are used to test the effect of the proposed deblurring algorithm on motion blurred remote sensing images matching. Experimental results show that the proposed deburring method can impair the influence of motion blur and improve the precision of matching.
Ship Detection in SAR Images Based on Multiscale Feature Fusion and Channel Relation Calibration of Features

Deep-learning technology has enabled remarkable results for ship detection in SAR images. However, in view of the complex and changeable backgrounds of SAR ship images, how to accurately and efficiently extract target features and improve detection accuracy and speed is still a huge challenge. To solve this problem, a ship detection algorithm based on multiscale feature fusion and channel relation calibration of features is proposed in this paper. First, based on Faster R-CNN, a channel attention mechanism is introduced to calibrate the channel relationship between features in the feature extraction network, so as to improve the network’s expression ability for extraction of ship features in different scenes. Second, unlike the original method of generating candidate regions based on single-scale features, this paper introduces an improved feature pyramid structure based on a neural architecture search algorithm, which helps improve the performance of the network. The multiscale features are effectively fused to settle the problem of missing detections of small targets and adjacent inshore targets. Experimental results on the SSDD dataset show that, compared with the original Faster R-CNN, the proposed algorithm improves detection accuracy from 85.4% to 89.4% and the detection rate from 2.8 FPS to 10.7 FPS. Thus, this method effectively achieves high-speed and high-accuracy SAR ship detection, which has practical benefits.
Chapter 11. Knowledge Spaces. Visualizing and Interacting with Dimensionality

The growth and population of the Semantic Web, especially the Linked Open Data (LOD) Cloud, has brought to the fore the challenges of ordering knowledge for data mining on an unprecedented scale. The LOD Cloud is structured from billions of elements of knowledge and pointers to knowledge organization systems (KOSs) such as ontologies, taxonomies, typologies, thesauri, etc. The variant and heterogeneous knowledge areas that comprise the social sciences and humanities (SSH), including cultural heritage applications are bringing multi-dimensional richness to the LOD Cloud. Each such application arrives with its own challenges regarding KOSs in the Cloud. With contributions by Sören Auer, Gerard Coen, Kathleen Gregory, Mohamad Yaser Jaradeh, Daniel Martínez Ávila, Philipp Mayr, Allard Oelen, Cristina Pattuelli, Tobias Renwick, Andrea Scharnhorst, Ronald Siebes, Aida Slavic, Richard P Smiraglia, Markus Stocker, Rick Szostak, Marnix van Berchum, Charles van den Heuvel, J. Bradford Young, Veruska Zamborlini and Marcia Zeng.
Penggunaan Model Make a Match untuk Meningkatkan Keterampilan Membuat Pantun di Kelas V Sekolah Dasar

Learning skills to make rhymes in class V SD Negeri 07 Padang Sarai has not taken place as expected. This can be seen from the low results of rhyme making skills. The Make A Match model was chosen to overcome these problems. This study aims to improve the skills of fifth grade students of SD Negeri 07 Padang Sarai about making rhymes. The make a match model is defined as a learning system that prioritizes the cultivation of social skills, especially the ability to cooperate, the ability to interact in addition to the ability to think quickly through games to find partners with the help of cards. The implementation of the make a match method on the material for making rhymes is done by modifying the question and answer cards into sampiran cards and the contents of the pantun. The cards are shuffled by shuffling before being distributed to students. Each student is given one card, then instructed to form groups of 4 members. If combined, the cards of the four people in the group must contain a rhyme. Each correct group will be given a prize, otherwise the wrong group will be punished according to mutual agreement. This learning model with a game approach will be very interesting for students. The skill of the teacher when designing and implementing the make a match model is the key to the success of learning activities
Non-uniform Data Reduction Technique with Edge Preservation to Improve Diagnostic Visualization of Medical Images

Some of the medical imaging techniques are Computed Tomography, Magnetic Resonance Imaging, or Ultrasound imaging which produce digital images. For efficient storage and transmission, digital image compression becomes important to medical personnel and a highly anticipated subject matter in medical discourse. For data reduction and to reduce the size of images, we need systems to provide complete diagnostic information. Using the threshold procedure that reduces the size of medical images while preserving analytical information, ostensibly by increasing Compression Ratio (CR), this paper recommends an image data reduction method that is planned to generate images with greater image fidelity and high compression efficiency. To improve diagnostic visualization of medical images, wavelet transform algorithm with edge enhancement is recommended, and for data reduction, a multi-thresholding algorithm is used. In data reduction algorithm, one-level wavelet decomposition based on threshold coefficient selection is used.
MBWOA-FCC A New approach for Big Data Clustering Using ModifiedBat Weight Optimization Algorithm withFuzzy Consensus Clustering -

Clustering of Big data is a latest booming topic with the increased information generated by the user. To identify an individual portion of data Consensus clusteringcarries out with the partitions that exist.This study introduces the collaborative fuzzy clustering concept in conceptual way and algorithmic machinery for the collective exploration of a common interaction among finite family of information which are stored under data sites that act individually.This work, initially formulates Modified Bat Weight Optimization Algorithm with Fuzzy Consensus Clustering(MBWOA-FCC) to carry out clustering based on big data. Then family of MBWOA-FCCis derived based on functions termed as MBWOA-FCCUthat can convert FCC to a weighted piecewise Fuzzy C Means Clustering (piFCM) issue. Here the values of the weight are identified depending on the bat optimization. Finally, the proposal of segmentation like vertical and horizontal method fixes asimple but optimal framework for MBWOA-FCCUover big data. This is helpful to build an algorithmic framework for FCC with choice that is adjustable with utility operations and aggrevatesMBWOA-FCCUimportantly with a FCM-like continuous process of piFCM.The Experimental results on big data prove that FCM-like continuous iterative process of piFCM, and produces state-of-the-art clustering algorithms.Specifically MBWOA-FCCtechnique explores interesting potential for big data clustering in real time applications handled using online event recognition and detection of overlapping community.
An Automatic Nuclei Cells Investigating Approach Exploitation Effective Image Processmethods

Manual checking of cores cells from histological pictures is viewed as repetitive cycle, tedious and exposed to human blunders. Subsequently, computerized the cycle of cores cells checking are gotten significant and important for successful investigating of histological pictures. Current frameworks and approaches of cores cells checking depend on shading or gray scale pictures prompting off base outcomes and have a few impediments. In this paper, we propose a novel exact methodology for programmed cores cells checking utilizing compelling picture handling techniques. The new methods are planned dependent on picture thresholding strategy, morphological picture preparing activities, and associated segment calculation. The new approach was assessed tentatively on 37 pictures of a public informational index of 100 histological pictures. The exploratory outcomes exhibited that the methodology accomplished a high exactness up to 89.5% contrasted and past works. We finished up the viability of the proposed approach for programmed tallying of cores cells from histological pictures.
Types of Reading in PISA 2018: Reviewed from The Students Base on Gender

The main objective of this study is to answer the following questions. Are there differences in the perception of male and female students on the type of reading (magazine, fiction, non-fiction, comic book, newspaper) on the 2018 PISA test? The research method used is a quantitative method. The data in this study uses PISA 2018 data which has been released to the public and has been permitted to be used for research development purposes. The population of this study is 15 year old students (junior high school) worldwide who are studying in 2018, while the sample is 15 year old students taking PISA tests in 80 countries. The reason for selecting the sample was students who were taking the 2018 PISA test. The data in this study was in the form of a questionnaire that was answered by students in 80 countries, namely 612004 students from 80 countries. Based on the results of the T-test analysis, the results showed that there were differences in the perceptions of male and female students on the perception of the type of reading on the 2018 PISA test, P < 0.000. The types of reading that female students like are: magazines (2.43%), fiction, and non-fiction (3.24%); while the types of reading favored by male students are: comic books (2.28%) and newspapers (2.51%). The reliability of the instrument is 1.00 higher than the reliability of the person = 0.15. The conclusion is that there are differences in the perception of male and female students on the perception of the type of reading on the 2018 PISA test, P < 0.000. The types of reading that female students like or read a lot are: magazine, fiction, and non-fiction; while the types of reading that male students prefer or read are: comic books and newspapers.
Current trends in the establishment of innovative educational environment in higher education institutions in remote learning conditions

The aim of the presented research is to identify current trends in the establishment of innovative educational environment in HEIs. In the course of the research, a diagnostic model was developed to determine the success of the use of interactive teaching methods. The application of the developed author’s model of CPT diagnosis in testing 36 participants majoring in specialty 011 “Higher education teacher” showed that 19.2% of respondents from master’s courses students had high CPT level, 30.8% showed a very good level, 23.1% good, 15.4% satisfactory, 7.7% sufficient, and 3.8% unsatisfactory levels. A positive indicator was the lack of respondents with a critically low level of CPT. The average CPT rate within the group of respondents was 62.5%, which can be categorized as moderately high. Tactics for the implementation of the suggested model of innovative educational environment can be further developed and improved in the course of blended or purely remote learning.
Near Field Communication Security concerns a applicable security in Android

Near Field Communication (NFC) is being used more frequent in smart devices, this raises security concerns whether the users information is secure from attackers. The thesis examines the threats th ...
LibGuides: Plagiarism 101: You Decide!

An introduction to plagiarism and how to avoid it, from the NVCC Library. Review self-plagiarism and other sticky scenarios.
Peer Review Artikel Jurnal: A User Recommendation Model for Answering Questions on Brainly Platform

Artikel telah dipublikasikan di jurnal:INFOTEL (Informatics, Telecommunication, Electronics Vol.13 No. 1
PENGARUH KEMAMPUAN AWAL SISWA DAN PEMBELAJARAN ONLINE TERHADAP HASIL BELAJAR SISWA KELAS VII DI SMP NEGERI 2 KOTA JAMBI

Abstract This study aims to determine (1) the description of students' initial abilities, online learning and learning outcomes of class VII students at SMP Negeri 2 Jambi City. (2) The influence of students' initial abilities and learning outcomes of class VII students at SMP Negeri 2 Jambi City. (3) The influence of online learning and student learning outcomes of class VII at SMP Negeri 2 Jambi City. (4) The influence of students' initial abilities and online learning on student learning outcomes at SMP Negeri 2 Jambi City. This research design uses quantitative research methods, with data collection techniques through observation, interviews, and questionnaires. Where the population of this research is 222 students with a sample of 143 students. The data processing techniques in this study are Instrument Validity Test, Reliability Test, Quantitative Descriptive Analysis, Normality Test, Homogeneity Test, Multicollinearity Test, Heteroscedasticity Test, Simple Regression Test, Multiple Regression Test. The results showed that (1) the initial ability of students to obtain a TCR score of 80.95% with a good category. Meanwhile, the TCR value of online learning obtained a score of 80.25% in the good category. (2) There is an effect of students' initial ability on student learning outcomes of 2,546 with a significant value of 0.12. (3) There is an effect of online learning on student learning outcomes of 2,546 with a significant value of 0.15. (4) There is an effect of X1 and X2 on Y with a Ftable value of 4.523 with a significance of 0.12. Thus, the initial ability describes the readiness of students to accept the lessons that will be delivered by the teacher, and online learning is quite influential on the learning activities carried out between students and teachers. So even in the process of changing learning activities from offline to online, it still affects the learning activities of students even though it can determine the success of students in learning. Keywords : Initial Ability, Online Learning, Learning Outcomes
Say 'YES' to Positivity: Detecting Toxic Language in Workplace Communications.

Workplace communication (e.g. email, chat, etc.) is a central part of enterprise productivity. Healthy conversations are crucial for creating an inclusive environment and maintaining harmony in an organization. Toxic communications at the workplace can negatively impact overall job satisfaction and are often subtle, hidden, or demonstrate human biases. The linguistic subtlety of mild yet hurtful conversations has made it difficult for researchers to quantify and extract toxic conversations automatically. While offensive language or hate speech has been extensively studied in social communities, there has been little work studying toxic communication in emails. Specifically, the lack of corpus, sparsity of toxicity in enterprise emails, and well-defined criteria for annotating toxic conversations have prevented researchers from addressing the problem at scale. We take the first step towards studying toxicity in workplace emails by providing (1) a general and computationally viable taxonomy to study toxic language at the workplace (2) a dataset to study toxic language at the workplace based on the taxonomy and (3) analysis on why offensive language and hate-speech datasets are not suitable to detect workplace toxicity.
Hubungan Penggunaan Media Visual dengan Prestasi Belajar Siswa Mata Pelajaran PAI

&#x0D; &#x0D; &#x0D; The problem to be answered in this paper is the relationship between the use of visual media and the learning achievement of PAI students at SDN Kedung Waringin 02, Bojong Gede Bogor. The writing uses descriptive quantitative research in the correlation approach (correlational research). Correlation research is research conducted to find out whether there is a relationship and if there is, how close the relationship is and whether or not the relationship is meaningful. The main purpose of this research is to find out how much the implementation of the relationship between the use of visual media and student learning outcomes in PAI subjects. The writing concludes that the rxy is 0.291, the figure is in the range of 0.20 – 0.39. This means that the X variable to the Y variable has a low or weak positive correlation. The coefficient of determination (determination) is 8.46%. This shows that the relationship between the use of learning media and student learning outcomes with KD 8.46%, while the remaining KD of 91.54% student learning outcomes are influenced by other factors such as the home or family environment and the community environment or living situation, and other factors not analyzed. tcount &lt; ttable, then Ho is accepted and Ha is rejected, then Ho is accepted and Ha is rejected because tcount (840) &gt; ttable (1.970). From the calculation results above, it can be seen that ttcount is smaller than ttable, meaning Ho is accepted and Ha is rejected, so the hypothesis that the author proposes cannot be accepted. Based on these findings, it is recommended that teachers not only improve teacher performance, the process of implementing teaching in the classroom also plays an important role for the success of student learning. Teachers are required to present material that makes students active. teachers can master, understand and try to be skilled and creative in conducting questions and answers with students, to relevant agencies as education providers there are conducive facilities and infrastructure so that the teaching and learning process will take place well and effectively.&#x0D; &#x0D;
INTRODUCTION OF ELECTRONIC TABLETSAND STUDENTS’ ACADEMIC PERFORMANCE IN FACULTY OF EDUCATION, UNIVERSITY OF ILORIN

The peculiarity of electronic tablets in the educational system and its influence either positive or negative on the academic performance of the undergraduate students triggers an investigation into the introduction of electronic tablets and students’ academic performance in Faculty of Education, University of Ilorin. However, the purpose of this research is to examine the significant influence of the introduction of an electronic tablet on the academic performance of students. The population for the study was all the nine departments in the Faculty of Education, University of Ilorin. With the use of purposive sampling technique, three departments were selected from the nine departments in the Faculty of Education. The data were collected using Student Academic Performance Proforma (SAPP), while the data were analysed using percentage and Pearson product-moment correlation statistic. The findings of the study revealed that students’ academic performance was on the average before and after the introduction of the electronic tablet. It was, however, revealed that there was a percentage increase in the academic performance of students after the introduction of electronics tablet. The main finding was that there was a significant relationship between the introduction of tablet and students’ academic performance at the University of Ilorin. It was concluded that electronic tablet influenced students’ academic performance due to the numerous advantages. It was, however, recommended that electronic tablet should be introduced again in the University of Ilorin but proper mechanisms must be put in place to curb its negative effect on the attitude and academic performance of the students.
Deep Learning Approaches on Super-Resolution Image and Video – A Deep Review

In recent years, deep learning has become the subject of researchers. Typical image processing challenge is the super resolution on the image and on the film. Super-resolution is the job to create high resolution images from images of low resolution. Several Deep Learning approach have been acknowledged in this paper that is promoted for the improvement of the given input images. The major motivation of this learning for acquiring the information and observation of the various aspects of the deep learning approaches, which is broadly used in solving the complex problems and it overcomes the limitations of the traditional machine learning methods.  In this paper, before learning algorithms, the different characteristics of the SR approaches are defined. The models were explored in different super resolutions and contrasted with the PSNR (peak-signal noise ratio) and the SSIM measurements. Overwhelming on comparisons of the methods, Generative adversarial networks provides the finer solution in terms of the quality measurements. Therefore, this paper is furnished with the super-resolution image and video models of the image processing.