Reviewerly/exHarmony huggingface dataset:
INCREASING SCIENCE LEARNING OUTCOMES THROUGH DISCOVERY METHOD IN ONLINE LEARNING ON STUDENTS OF CLASS V SD NEGERI 27 PEKANBARU

This research is motivated by the low science learning outcomes of fifth grade students of SD Negeri 27 Pekanbaru. This can be seen from 1) the learning outcomes obtained by students are not optimal, this can be seen from the report card scores, especially in science subjects, most of the students have not reached the specified minimum completeness criteria (KKM), 2) students seem difficult to understand the material presented delivered by the teacher in class and students rarely answer the questions given by the teacher. This study aims to improve science learning outcomes in fifth grade students of SD Negeri 27 Pekanbaru. The subjects of this study were fifth grade students of SD Negeri 27 Pekanbaru with a total of 30 students. The form of research is classroom action research. The research instrument consisted of learning outcomes instruments and data collection instruments in the form of observation sheets for teacher activities and student activities. Based on the results of the analysis and discussion, it can be concluded that the application of the Discovery learning method in online learning can improve learning outcomes in science lessons for fifth grade students at SD Negeri 27 Pekanbaru. This success is evidenced by an increase in learning outcomes before taking action to cycle I and cycle II. Before taking action, student learning outcomes were classified as "Not Good" with a percentage of 40%, there was an increase in the first cycle to 53.3% with the criteria "Not Good". While student learning outcomes in cycle II also increased reaching 86.7% in the "Good" category, this proves that the application of the Discovery Learning Method in online learning can improve science learning outcomes for fifth grade students at SD Negeri 27 Pekanbaru.
ҚAЗІPГІ СТУДЕНТ ЖAСТAPДЫҢ ҚҰНДЫЛЫҚТЫҚ БАҒДАРДАРЫНЫҢ ӨЗІНДІК СИПAТЫ: ӘЛЕУМЕТТАНУЛЫҚ ТАЛДАУ

The value world of modern youth is quite complex and it is impossible to fully reflect it with the help of sociological research. In this article an attempt to study the value orientations of student youth. An empirical base of research was a questionnaire conducted among 2nd year students of two higher educational institutions in Almaty. As a result of the analysis, the most significant value orientations of student youth, trends in their changes were highlighted. Certain conclusions were drawn that indicate that for most, traditional values like family, hard work, health, knowledge remain the most significant.
Construction and Exploration of Mixed Teaching Mode in College Physical Education

NOTICE OF RETRACTION: While investigating potential publication-related misconduct in connection with the ICIMTech 2021 Conference Proceedings, serious concerns were raised that cast doubt on the integrity of the peer-review process and all papers published in the Proceedings of this Conference. The integrity of the entire Conference has been called into question. As a result, of its investigation, ACM has decided to retract the Entire Conference Proceedings and all related papers from the ACM Digital Library.
Profile of Predictive Factors of Response to Therapy in Patients with Diffuse Large B-cell Lymphoma in dr Soetomo General Teaching Hospital Surabaya

Despite the use of rituximab as a substantial treatment for Diffuse Large B-Cell Lymphoma (DLBCL), the survival rate remains low due to high incidences of relapse. Several predictive factors for relapse have been investigated however, still expensive and not applicable. Lymphocytemonocyte ratio (LMR) reported as a predictor factor for treatment responses of DLBCL patients. The aims of this study to know the profile of predictor factors include age, LDH, Ann Arbor stage, extranodal involvement and lymphocyte-monocyte ratio (LMR), with the treatment response of LNH type Diffuse Large B-Cell Lymphoma (DLBCL) patients in dr. Soetomo Surabaya.A retrospective observational descriptive study of 203 subjects undergoing R-CHOP chemotherapy during 2015- 2017. Predictor variables were age, LDH, Ann Arbor stage, extranodal involvement and LMR. Elderly > 60 more unresponsive to chemotherapy 24 (46,2%) vs 28 (19%), high LDH more unresponsive 49 (94,2%) vs 3 (5, 8%). Ann Arbor stage III-IV more responsive to chemo than stage I-II, 24 (15,9%) vs 127 (84,155). In LMR< 2,6 subgroup, 84 (55,6%) subjects showed response to chemotherapy, while in LMR < 2,6 subgroup only 67 (44,4%) subgroups showed response. The conclusion of this study are subjects ≥60 years old, high LDH ≥200 U/l, early stage of disease, extranodal involvement and LMR<2.6 had a higher risk of unresponsiveness to chemotherapy.
An Analysis of Depth Edge Detection Technique for AR/VR Applications

In this Current world the use of Augmented reality and virtual reality has increased rapidly. There are presently existing depth edge detection techniques. In this paper we are comparing two techniques that is the fast depth densification for occlusion aware AR proposed by Holynski with the one with faster depth edge detection in OpenCV for depth densification in real-time occlusion aware AR. The method proposed by Holynski used a modified Canny edge detector that uses multiple frames plus soft edges to extract depth edges. In the depth edge detection in OpenCV only the soft edges and the canny edges of the current image were used to create a depth edge.
DeepWaste: Applying Deep Learning to Waste Classification for a Sustainable Planet

Accurate waste disposal, at the point of disposal, is crucial to fighting climate change. When materials that could be recycled or composted get diverted into landfills, they cause the emission of potent greenhouse gases such as methane. Current attempts to reduce erroneous waste disposal are expensive, inaccurate, and confusing. In this work, we propose DeepWaste, an easy-to-use mobile app, that utilizes highly optimized deep learning techniques to provide users instantaneous waste classification into trash, recycling, and compost. We experiment with several convolution neural network architectures to detect and classify waste items. Our best model, a deep learning residual neural network with 50 layers, achieves an average precision of 0.881 on the test set. We demonstrate the performance and efficiency of our app on a set of real-world images.
Penerapan Sistem Informasi Pendataan Penerima Dana Program Keluarga Harapan pada Gampong Beurawe Kecamatan Kuta Alam berbasis Web GIS

Administratively, Gampong Beurawe is one of the villages in Kuta Alam District, Banda Aceh City. The Department of Social Affairs is in charge of collecting data and providing assistance to people in need of social welfare services. Data collection is done manually in the form of archives and files, this causes inefficiencies in space, security, time and costs. The Social Service has difficulties in conveying information on the Family Hope Program (PKH) which includes data on poor households, education data and health data, to the wider community and related parties, causing data information to be unclear. So we need an automatic data collection system to help collect data on the hopeful family program in Gampong Beurawe, Kuta Alam District. In the geographic information system itself, there are two important elements, namely Geographical Data which is used as a reference for attribute data. The design of the map that will be displayed in this application uses map info and google maps. This PKH acceptance mapping information system in Beurawe Village, Kuta Alam District, Banda Aceh City is to assist the Social Service, especially the social assistance and security department in the storage and delivery of information data (PKH) so that it can provide clear information about the program. Data information system in the form of maps, graphs and tables.
PENINGKATAN KEMAMPUAN MEMBACA INTENSIF MELALUI METODE SQ3R MAHASISWA PERIKANAN UNIVERSITAS ISLAM MADURA

Language is the most important component in human life.Humans will not be able to continue their survival well and regularly without language.They cannot interact easily and well if they do not master each other's language and in the absence of this continuity they also cannot grasp the mental expressions or desires expressed by their communication opponents.This research was conducted at the Madura Islamic University (UIM) Pamekasan due to the low ability of students, especially the Faculty of Agriculture in reading, and this was the dominant problem in this study.A teacher is an ordinary human being who does not escape from all the shortcomings and limitations that include the limitations of science, management / classroom management, as well as limitations in understanding the character of each student.Learning to read does have an important role because through reading learning, lecturers can develop moral values, the ability to reason and the quality of students.SQ3R method is one part of an elaboration method.A teacher expects students to be able to remember what they read, can help the teaching and learning process in class which is carried out with intensive reading activities so that learning can be more challenging and enjoyable.This study uses quantitative research methods, namely the ability of students to read English texts at the Islamic University of Madura (UIM) Pamekasan.
Illustrations for the ABC book in the works of Moldovan artists (1945-2015). Preliminary research of the genesis and evolution of aesthetic values

The ABC book is the most important book that affects the cognitive the aesthetic development of the child. The history of this book goes back several centuries, and its prehistory can be traced back to the days of the appearance of writing. This article is dedicated to the study of the processes associated with the evolution of the principles of illustrating ABC books in the works of artists of the Soviet and post-Soviet periods. Among the famous Moldovan artists, who illustrated books of this didactic nature, are: Valentina Nechaeva, Valentina Rusu-Ciobanu, Leonid Grigorashenco, Ilya Bogdesco, Evgheni Merega, Boris Brânzei, Igor Vieru, Lică Sainciuc, Isai Cârmu, Alexei Colîbneac,Vasile Movileanu, Aurel Guțu-Resteu, Vasili Tsehmister, Anna Evtushenco, Violeta Zabulica-Diordiev, Elena Leshcu, Mihail Brunea, Oleg Cojocari, Elvira Voloshin-Cemortan and others. The study of ABC illustrations in the works of Moldovan book graphic artists provided an opportunity to analyze the genesis and evolution of its aesthetic aspects, and to identify the main artistic values of this branch of fine arts.
In the pursuit of Competitive Advantage through Leadership: Role of Human Capital

The major objective of the study is to investigate the role of human capital and leadership in competitive advantage. The data was collected using a close ended questionnaire. We applied partial least square structural equation modeling to analyze the relationships extracted from the literature review. The results, negating the conventional wisdom, showed an insignificant impact of strategic leadership on competitive advantage. Whereas the study's findings confirmed the indirect effect of strategic leadership on competitive advantage, through human capital. These findings construe the full mediating role of human capital in the association between strategic leadership and competitive advantage. The findings imply the use of strategic leadership for human capital development to further attain competitive advantage. The use of cross-sectional data is one of the major limitations of the study.
El cuerpo como marca en internet: análisis de influencers digitales fitness como promotores de producto

New social actors have emerged with the social media. Among them, we highlighted the digital influencers, people who have millions of online followers, and induce them in favor or against products and brands to be consumed. Therefore, we aimed to analyze this endorsement process carried out by digital influencers in their online profiles, having as research field the fitness market that encourages people to evaluate and work tirelessly in their bodies. We used the Semiotic Image Analysis to investigate the postings of three Brazilian digital fitness influencers and identified four categories that configure the post format: body exposure, body extension, interaction between influencer and brand/product, and interaction between influencer and followers. By means of these categories, we identified that these influencers act as brand avatars, creating an intense link with these products, exposing their bodies in advertisements and extending the meanings of their good shape to endorsed goods and services.
PENGGUNAAN LABORATORIUM VIRTUAL PHET SIMULATION SEBAGAI SOLUSI PRAKTIKUM WAKTU PARUH

Covid-19 has affected the education sector in Indonesia. The purpose of this study was to determine the decay rate of Carbon-14 and Uranium-238 isotopes in the first half, second and third half, and to determine the level of accuracy of the experiment using PhET Simulation. The method used in this research is the experimental method. The results showed the percentage of decay rate of Carbon-14 in the first half was 49%, the second half-life was 75.4%, and the third half-life was 84.5%. While the percentage of Uranium-238's decay rate in the first half is 49.6%, the second half-life is 74%, and the third half-life is 85.9%. The accuracy level for the Carbon-14 isotope using PhET Simulation was 98.35%, while the accuracy level for Uranium-238 isotope using PhET Simulation was 99.95%. Therefore, PhET Simulation can be used as a solution for part-time practicum during the Covid-19 period.
Neural Scene Representations for View Synthesis

Author(s): Mildenhall, Benjamin Joseph | Advisor(s): Ng, Ren | Abstract: View synthesis is the problem of using a given set of input images to render a scene from new points of view. Recent approaches have combined deep learning and volume rendering to achieve photorealistic image quality. However, these methods rely on a dense 3D grid representation that only allows for a small amount of local camera movement and scales poorly to higher resolutions. In this dissertation, we present a new approach to view synthesis based on neural radiance fields, an efficient way to represent a scene as a continuous function parameterized by the weights of a neural network. In contrast to using a feed-forward neural network to predict scene properties from a small number of inputs, a neural radiance field can be directly optimized to globally reconstruct a scene from tens or hundreds of input images and thus achieve high quality novel view synthesis over a large camera baseline. The key to enabling high fidelity reconstruction of a low-dimensional signal using a neural network is a high frequency mapping of the input coordinates into a higher-dimensional space. We explain the connection between this mapping and the neural tangent kernel, and show how manipulating the frequency spectrum of the mapping provides control over the network's interpolation behavior between supervision points.
Archiving and LTP of Websites and Born Digital Documents in Slovakia

Poster from the 2019 International Internet Preservation Consortium General Assembly and Web Archiving Conference. This poster presents an overview of the typical web archiving process in Slovakia.
Investigating the Limits of Human Spatial Perception and Spatial Thinking

Visual mental images play an important role in thinking, but there is no agreement among cognitive scientists as to what are the kinds of symbols that the mind processes. Does thought consist of mental representations in the form of conditionals of the predicate calculus, or do we form mental models of the outside world which bear an analogical relation to the real world?Aim: The basic aim of the present study is to contribute to the ongoing work on mental representations by extending the research to an unexplored area in the Greek scene, that of mental partitioning. Our sample consisted of 344 participants. For the statistical processing we employed reliability analysis, descriptive analysis and ANOVA in order to investigate the differences between scores in spatial perception, and mental partitioning. We detected significant peculiarities in the cognitive performance of the participants in the tasks of mental partitioning, indicating certain limitations inherent in human thinking.Conclusion: The conclusion was that the task of mental partitioning of mental representations of a simple yet novel real object rests on previous abstract propositional thought and knowledge rather than on concrete perceptual processes like the ones proposed by Kosslyn and Sheppard.
THE LANGUAGE ERROR USE OF SUFFIX –KAN AND -I

Abstract— This study aims to find out the mistakes that occured in the use of suffix –kan and –i in Indonesian. The sample in this study was the second semester students of Indonesian language and literature education study program, Faculty of Teacher Training and Education of Tridinanti University Palembang. The data collected using test techniques. Data analysis techniques to analyze the number of questions answered correctly and the number of questions answered incorrectly used the average obtained from the test results. The procedures for carrying out the research were begun by giving a question sheet consisting of 15 questions about sentences with two possible verbs, verbs that are associated with me–kan/me–i and di–kan/di–i. Based on the results of the study, it was found that more than 50% of errors occurred in the suffix -i, namely 57.25%, while the error in the suffix –kan was 42.73%. The results of the study showed that the low ability of students to differentiate the meaning of the suffixes –kan and suffix –i. Keywords — language error, suffix –kan, suffix –i
LibGuides: Finding Media: Home

Learn where to look for no cost media to legally use in projects, presentations, advertising, and more.
Neuron-like spiking derived from silicon-based photonic crystal microcavity

We propose a method for neuron-like spiking generation using silicon microcavities, where the spiking speed is about 4 nanosecond and a million times faster than biological neurons. Both experiments and theories were carried out.
Amazon, Microsoft 'war cloud' race could waste taxpayer dollars, Rubio warns

The Florida senator expressed concern the contract might not give taxpayers the best value.
Comparison of the Behavior of Video Codecs in Wi-Fi IEEE 802.11ac Environment

A major challenge for digital video storage or traffic was that the original or uncompressed video required a lot of digital information. Therefore, it was necessary to carry out some compression process to transmit or store digitized video with the least amount of bits possible. The word compression, as a synonym for coding, refers to the device called codec (coder-decoder), which is commonly used in multimedia environments. Since the 1990s, approximately every nine years, the development of a new standard is concluded, and each new codec is almost twice as efficient as the previous one. The newer compression methods are much more complex and more sophisticated than the previous ones, but they demand much more computational power. This paper presents a comparative study of codec behavior by experimentation. A balanced combination of established standards and some newer ones for contrast were selected. It used a trailer of the movie Star Trek, and a video of an Adobe Connect videoconference, of the same duration. The videos were encoded in H.264, H.265, VP8 and Theora. It proposes an experiment in a real laboratory, with wireless clients working in the IEEE 802.11ac standard and IPv6. The conclusions of the work will help to determine the adequate management of similar real or simulated networks.
On the Three-dimensional Teaching Mode of Literary Theory Course under OBE Concept

NOTICE OF RETRACTION: While investigating potential publication-related misconduct in connection with the ICIMTech 2021 Conference Proceedings, serious concerns were raised that cast doubt on the integrity of the peer-review process and all papers published in the Proceedings of this Conference. The integrity of the entire Conference has been called into question. As a result, of its investigation, ACM has decided to retract the Entire Conference Proceedings and all related papers from the ACM Digital Library.
SOCIAL ADAPTATION OF STUDENTS IN FOREIGN PARTNER UNIVERSITIES

The article considers the importance of social adaptation of students of Russian and Chinese universities studying under joint educational programs to receive full-fledged professional training at a partner university.
Research on TIN Curved Surface Modeling Technology and Its Application in Foundation Pit Monitoring

In Order to Study the Foundation Pit Surface Deformation Amount and its Three-Dimensional Visualization, The Surface Modeling Technique Based on the Grid-Type Discrete Point Cloud Data and Tin Data Model is proposed.Indoor Tests Show that the Minimum Value of the Maximum Residual Value of this Technology is 0.5612~0.9993,Which Meets the Requirements of the Software Spatial Coordinate Solution and Three-Dimensional Reconstruction.And Monitoring the Application Test, the Actual Value and Calculation Value Error is Less Than 1mm, Accuracy and Error Meet the Requirements of the Engineering Measurement Specifications.Finally, the Feasibility of the Technology is Verified by the Field Test.
Safeguarding Online Payment Systems from Cyber- Attacks during and beyond Covid-19 Pandemic - A Technology Threat Avoidance Approach

The use of online payment systems witnessed tremendous increase during the COVID-19 lockdown period. Lockdown became necessary and was enforced by the government of most countries of the world, upon the advice of the WHO as an effective method to check the spread of the disease. This left most citizens with online services as the only best alternative. This paper investigates the activities of cybercriminals and its effects on the use of Debit cards and Webpages payment modalities among some undergraduates in Nigeria. Online questionnaire and convenience sampling technique were deployed, to elicit information from universities that shifted onto online payment systems during the period of pandemic. Cronbach Alpha tests and Cross-tabulation with Chi-square were carried out using SPSS version 20 statistical package to analyze 118 valid data collected. Face and content validities of research instrument were done by two experts in the field of cyber-security. Pilot test was done and the corrected version of the questionnaire was administered. Reliability tests on Safeguard measure (0.72), Cyber-Treats (0.95), Impacts of cyber-attacks (0.79) and Challenges with online payments (0.90) showed acceptable Cronbach’s Alpha values. Our investigation showed that respondents experienced Spam, Malware, Web-application attacks, Phishing and Identity thefts among other attacks during the lockdowns. We conclude that from a safety perspective, this study emphasizes the use of safeguard measures such as the use of strong passwords, secured webpage, licensed antivirus, keeping the PIN number and password secret by every online user are very crucial to mitigate the activities of cybercriminals.
Best Computer For RuneScape

Released in 2001, the popular role-playing game is one of the most exciting games on the internet for teams and single players who wish to venture into ...