Reviewerly/exHarmony huggingface dataset:
THE IMPACT OF COVID-19 ON SCIENTIFIC RESEARCH IN CHINA: A CASE STUDY OF STATE UNIVERSITY IN SOUTH CHINA

The outbreak of the Corona Virus in 2019 brought significant impact on more than 200 counties since 2019.Due to the intensification of the pandemic, every industry is under turbulence including agriculture, industry, medicine, finance, etc.Among them, the advancement of scientific research based on universities and institutes has been greatly affected.Scientific research, especially the research of nature science, is highly replying on data and professional equipment.Once universities and institutes are locked down, researchers cannot push forward their work without the prerequisite data and equipment.Therefore, scientific research can only be stalled.Meanwhile, the cancellation or postponement of international travel and scientific conferences is another reason that stopped scientific research completely or by half.Nevertheless, the quantitative analysis of how universities and institutions are influenced is still not clear, which makes it challengeable for policymakers to response to the disease wisely.This paper aimed to quantify the influence of COVID-19 on research of universities or institutions in China and find out the solution with high pertinence and maneuverability.The author used scientific projects data of Jinan University from 2015 to 2019 as input data and employed the Gray Model to forecast the number of projects of 2020.By comparing the predicted number to the true situation, we found that although the true number of scientific projects of Jinan University in 2020 (293 items) was higher than that of 2019 (273 items), there was still a big gap between the expected number of 2020 (327 items) and the true number (293 items) according to our model.Moreover, the average annual growth rate of projects has dropped from 22% to 19%.This indicated that the pandemic did not cause a regression of scientific research, but it did slow down its development.In view of this, it is necessary to explore how universities should take effective measures to evolve the management of research and thus reduce the negative impact of the pandemic.These measures included but not limited to: 1) establishing a more reasonable research management system which meets the demand of plague prevention in China; 2) deepening the all-round reform of the scientific research evaluation system; 3) promoting the digitalization of the management of research and related technological achievements.
IMPROVING JUNIOR HIGH SCHOOL STUDENT’S LEARNING OUTCOMES THROUGH INTERACTIVE MULTIMEDIA OF BLOOD CIRCULATION SYSTEM

This research aimed to describe the improvement of junior high school student’s learning outcomes after the implementation of interactive multimedia of blood circulation system. This research used a One-Group Pretest-Posttest Design that involved 58 students grade VIII MtsN 4 Sidoarjo. The results of the research showed that the results of the N-Gain grade VIII A students showed that 65,5% of students received a high category score. The N-Gain results of Grade VIII B students showed that 55,2% of students received high categorical scores. Based on the results of the research, it concluded that the interactive multimedia of blood circulation system can improve students’ learning outcomes. Keywords: learning media, interactive multimedia, learning outcomes.
The effect of whatsapp messenger as e- learning tool on performance of undergraduate students of a Public Sector Medical College in Pakistan.

Objectives: To verify the usability of social media like WhatsApp in delivering knowledge to 4th year and Final year MBBS students and to compare the improvement of knowledge gain through e-learning and didactic lecture. Concurrently, perception of students about e-learning via WhatsApp will also be gathered. Study Design: Prospective Analytical Interventional study. Setting: Department of Medical Education of Sahiwal Medical College Sahiwal. Period: 01.01.2020 to 31.03.2020. Material &amp; Methods: On 4th year and Final year MBBS students two Whatsapp group were made, one for each class. Then the students were taught different topics by WhatsApp. Assessment of knowledge of e-learning through WhatsApp was done by feedback form. Results: The results revealed that technical, educational and instructional advantages of teaching learning activity via WhatsApp out pars disadvantages. Increase in interaction with peers and getting a fair chance to participate in group discussion were top two educational benefits of learning through WhatsApp with 64.10% and 62.80% students agreeing to it. A majority of the students (89.8%) agreed to the facts that the availability of smart phones was not an issue for them and they are very comfortable in using Whatsapp as e learning tool (61.6%). on the other hand 29.5 % of the students were disagreed with the fact that they are getting more chances in clearing their concepts on Whatsapp. Conclusion: Increase in interaction with the peers and getting more chance to discuss a particular topic with group has made WhatsApp a new and convenient tool for teaching/learning activity. Students also found Whatsapp as less time consuming as compared to conventional lectures. A few disadvantages, like lesser chance of clearing the concepts on Whatsapp can be overruled by making small groups and using mobiles with bigger screen.
ANALISIS PERSEPSI SISWA SMP DI BANDA ACEH TENTANG KEGIATAN LITERASI

Literacy has a broad meaning and the literacy coverage is also quite wide. Literacy relates to four language skills: listening, speaking, reading, and writing. With these four provisions one is required to be able to apply critical thinking patterns and be able to communicate effectively and efficiently until later useful in solving problems in life. This research aims to find out students' perceptions of literacy activities. This research is a qualitative study with a descriptive approach. Data is collected through structured interview techniques and questionnaire collection techniques. The instruments used are interview guidelines and questionnaire sheets. The interview was conducted with 2 Indonesian teachers at SMP Banda Aceh junior high school and the questionnaire was filled with 163 students. The results showed that in its implementation, literacy was not governed by the established rules. The goal of literacy is also not achieved properly. The school has not fully carried out literacy activities such as demands in the implementation of the School Literacy Movement that has been established by the government. Students' perception of literacy activities rests only on one point, namely reading and writing. Whereas based on the sense of literacy, literacy has a broad meaning and literacy activities can vary, not only literacy reading and writing, but also numeration literacy, science literacy, financial literacy, digital, cultural and environmental literacy. But at this stage the school is good enough in starting the implementation stage of the School Literacy Movement in their respective schools. Schools are aware enough of how important this literacy activity is to start promoting in the school environment in order to support government programs to create a generation of literate nations in all fields.
Keystroke Dynamics Based Biometric Identification

Biometrics based keystroke dynamics aim to perform user identification and authentication based on users' typing behaviour on digital devices. In this study, keystroke timing and regional distributions extracted from free-text are utilized to perform user identification. In order to obtain the highest representative set of attributes, attributes based on directional graph, hold time and keyboard distance have been extracted and used in different configurations. In order to process the generated feature sets more effectively, unlike the existing studies, a multilayer artificial neural network model with attention mechanism was used and 0.13% FAR and 2.5% FRR results were obtained.
Automatic X-Ray Film Viewer Based On Mega Arduino

X-ray film is something that can not be separated in the world of radiology, in the form of large sheets and can only be seen using a film viewer. Film viewer, as a medium for clearly seeing X-ray films, often provides an excessive illumination dimension to the dimensions of the film you want to see. The purpose of this study is to create a film viewer module that automatically turns on the LED following the size of the film you want to put, capture images and save them at MMC. The method of this research is Arduino Mega based automatic film viewer design system. Colomn and row accuracy test results obtained a stable value, although tested using different X-ray film sizes with an accuracy level above 85%. The images captured by the camera are stored on MMC, formatted in the .JPG format and can be accessed for review. The conclusion in this study in the form of making an automatic X-Ray Film Viewer system has obtained the results beginning with the design of the Block diagram. Designing hardware and software that is done properly, can minimize errors and mismatches results in the manufacture and design of automatic X-Ray Film Viewer. The function test, which is carried out as a representation of the suitability of hardware and software design, is focused on the quality of the work to turn on the LED according to film size in rows and columns.
Application of the Word Square Learning Model in Japanese Vocabulary Learning for Yadika Langowan High School Students

Foreign languages, especially Japanese, have the goal of making students capable and skilled in Japanese. In Japanese, besides having four skills, such as: speaking, reading, listening, and writing, it also has linguistic aspects that we can observe from the letters used, vocabulary, pronunciation system, grammar, and the variety of languages from the aspect of sound, intonation. , sentence patterns and so on. So that vocabulary is one aspect of language that plays an important role in learning Japanese. To achieve maximum results in mastering Japanese vocabulary, many teachers have used various kinds of learning models. It's just that the application of the learning model that is not quite right cannot achieve maximum results even in the learning process it can result in students feeling bored and bored. This can be a concern for beginner students in learning Japanese in high school. Therefore, a Japanese teacher is required to be more professional and more creative in presenting Japanese language subject matter to make it interesting and fun. When looking at the lesson plans at SMA Yadika Langowan, the teacher still uses the conventional method where the teacher writes and the students memorize. In this study, the author tries to prove that the Word Square learning model is an effective learning model used in Japanese language learning, especially in this case vocabulary. Therefore, in order for the research results to be proven, the authors used a quasi-experimental method (Quasi Experiment) by using a one-group pre-test and post-test design pattern, namely experiments carried out in only one group without a comparison group. This research was conducted by giving a pre-test first, then given treatment, namely teaching vocabulary using the Word Square Learning Model, after that given the final test (post-test). Keywords: Teaching, nihongo, adjective
Energy Harvesting: Automatic Solar Tracker System

A microcontroller-based prototype of an automatic solar tracking system is proposed in this paper. Light-dependent resistors are used in this solar tracker. By using this system we can automatically rotate the solar panel according to the movement of the sun. The objective of this work is to always get the maximum intensity of sunlight. In this paper, A small prototype of the solar tracking system is described to implement the design. It has a low cost and great efficiency.
Board Examination Analytics for Pamantasan ng Cabuyao, Laguna

This study provides a framework for determining board exam probabilistic performances of students through the identification and analysis of indicators that affect student board exam performances. The design and development of the framework are governed by the theoretical and empirical study of factors related to student profiles, academic metrics, and academic support services metrics. The formulation of factors and considerations for the framework revolves around the identification of causal items affecting the board exam performance of examinees. The factors are tested for their perceived causative and relational effects as drawn from related studies and literature. Moreover, this study provides a framework that addresses the issues related to managing board examination course offerings via consideration of university policies, practices, priorities, and programs.
Socio-cultural and aesthetic aspects of the formation of the professional orientation of a student - a future elementary school teacher

The article is devoted to the disclosure of socio-cultural and aesthetic aspects of the formation of the professional orientation of a student – a future elementary school teacher. The authors reveal the socio-cultural and aesthetic potential of university disciplines in the personal development of a student – a future teacher. They characterize the features of the formation of the teacher’s professional orientation, the basis of which are his/her humanitarian and pedagogical culture and spirituality as the highest level of development and self-regulation of a mature personality, on which the highest human values become the main reference points of his/her life. Further, on the basis of the characteristics of the research methods, the article presents the results of the diagnostics of the formation of socio-cultural and aesthetic aspects of the professional orientation of the students of the pedagogical university – future elementary school teachers, reflecting the positive dynamics of the development of the qualities we consider in subjects in the experimental group.
Fine-grained Generalization Analysis of Vector-Valued Learning

Many fundamental machine learning tasks can be formulated as a problem of learning with vector-valued functions, where we learn multiple scalar-valued functions together. Although there is some generalization analysis on different specific algorithms under the empirical risk minimization principle, a unifying analysis of vector-valued learning under a regularization framework is still lacking. In this paper, we initiate the generalization analysis of regularized vector-valued learning algorithms by presenting bounds with a mild dependency on the output dimension and a fast rate on the sample size. Our discussions relax the existing assumptions on the restrictive constraint of hypothesis spaces, smoothness of loss functions and low-noise condition. To understand the interaction between optimization and learning, we further use our results to derive the first generalization bounds for stochastic gradient descent with vector-valued functions. We apply our general results to multi-class classification and multi-label classification, which yield the first bounds with a logarithmic dependency on the output dimension for extreme multi-label classification with the Frobenius regularization. As a byproduct, we derive a Rademacher complexity bound for loss function classes defined in terms of a general strongly convex function.
Text Simplification with Reinforcement Learning Using Supervised Rewards on Grammaticality, Meaning Preservation, and Simplicity

We optimize rewards of reinforcement learning in text simplification using metrics that are highly correlated with human-perspectives. To address problems of exposure bias and loss-evaluation mismatch, text-to-text generation tasks employ reinforcement learning that rewards task-specific metrics. Previous studies in text simplification employ the weighted sum of sub-rewards from three perspectives: grammaticality, meaning preservation, and simplicity. However, the previous rewards do not align with human-perspectives for these perspectives. In this study, we propose to use BERT regressors fine-tuned for grammaticality, meaning preservation, and simplicity as reward estimators to achieve text simplification conforming to human-perspectives. Experimental results show that reinforcement learning with our rewards balances meaning preservation and simplicity. Additionally, human evaluation confirmed that simplified texts by our method are preferred by humans compared to previous studies.
An optimal VM Placement in Cloud Data Centers Based on Discrete Chaotic Whale Optimization Algorithm

Cloud computing, with its immense potentials in low cost and on-demand services, is a promising computing platform for both commercial and non-commercial computation applications. It focuses on the sharing of information and computation in a large network that are quite likely to be owned by geographically disbursed different venders. Energy efficiency in data centers has become a hot topic in recent years as more and larger data centers have been established and the electricity cost has become a major expense for operating them. Server consolidation using virtualization technology has become an important technology to improve the energy efficiency of data centers. Virtual machine placement is the key in server consolidation. In the past few years, many approaches to virtual machine placement have been proposed, but existing virtual machine placement approaches to the virtual machine placement problem consider the energy consumption by physical machines. In this paper, we proposed a new approach for placement based on Discrete Chaotic whale optimization Algorithm. First goal of our presented algorithm is reducing the energy consumption in datacenters by decreasing the number of active physical machines. Second goal is decreasing waste of resources and management of them using optimal placement of virtual machines on physical machines in cloud data centers. By using the method, the increase in migration of virtual machines to physical machines is prevented. Finally, our proposed algorithm is compared to some algorithms in this area like FF, ACO, MGGA, GSA, and FCFS.
Text Classification for News Group using Machine Learning

Text classification for news group using machine learning is useful to extract the data Robotized content arrangement has been considered as an essential technique to oversee and process an immense measure of reports in advanced structures that are broad and constantly expanding. When all is said in done, content arrangement assumes a significant job in data extraction and rundown, content recovery, and question answering. This research will outline the fundamental traits of the technology involved. In regards to the above classification strategies, Naive Bayes is potentially good at serving as a text classification model due to its simplicity.
Pengembangan Booklet Penyakit Menular Seksual pada Usia Remaja Sekolah untuk SMA

This research aims to produce a booklet of sexually transmitted diseases in school adolescents. Based on data from the Sexual Transmitted Disease Service Report of the Jambi City Health Office in 2018 there were 644 cases of sexually transmitted diseases in the city of Jambi, and 18 of them occurred in their teens. An interesting learning media is needed to help teachers explain the material about sexually transmitted diseases. This type of research is research and development using the ADDIE development model. The analysis phase consists of needs analysis and material analysis. The Design (design) consists of the initial design of the product to the making of a prototype. The Development Phase consists of validation of material and media experts as well as trials conducted on Biology teachers, small group trials and large group trials. The implementation phase is carried out in class XI IPA1 of SMAN 10 Jambi City using one group pretest-posttest design. The evaluation phase consists of the suggestions of the validator, the teacher and the test subject. The result of the material expert validator, booklet with a percentage of 95% (very good). The final results of the media expert validator of the booklet with a percentage of 93.33% (very good). The results of the Biology teacher's perception of the sexually transmitted diseases booklet with a percentage of 92.30% (very good). The results of small group and large group trials of students are 88.05% and 90.05% in the excellent category. Pre-test and post-test results were analyzed using N-gain and obtained an average of 0.84 in the "high" category.
Critical Information Infrastructure Protection Requirement for the Malaysian Public Sector

Malaysian Public Sector (MPS) organizations span laterally within all ten critical sectors outlined in the National Cybersecurity Policy (NCSP). Critical Information Infrastructure Protection (CIIP) initiatives are mainly driven by the overarching NCSP and the National Cybersecurity Strategy. Down the hierarchy, CIIP initiatives become more focused at the sectoral level. However, a dedicated CIIP framework for the MPS is currently unavailable thus giving an opportunity for research in this area. This paper explores current CIIP requirements pertinent to MPS sectoral needs. The method used is comparative analysis. In this paper, analyzed resources include international organizations requirements, key national policy documents, published official directives, circulars, guidelines and tools related to the MPS CIIP. The study findings have shown that risk management and resilience are among the emerging themes. A total of 21 external strategic requirements and 26 available internal resources are identified. A comparison of MPS Cybersecurity Framework (RAKKSSA) against NIST Cybersecurity Framework is also established to highlight CIIP. For future work, five recommendations are proposed as guidelines for developing MPS CIIP Framework.
Scalar vs. mereological conceptualizations of the N-BY-N and NUM-BY-NUM adverbials

The multiword adverbials N-BY-N and NUM-BY-NUM (as English “brick by brick” and “one by one”, respectively) are event modifiers which require temporal sequencing of the event they modify into a linearly ordered series of sub-events. Previous studies unified these two constructions under a single semantic analysis and adopted either a mereological or a scalar approach. However, based on a corpus study examining new Slavic language material and a binomial logistic regression modelling of the manually annotated data, we argue that two separate analyses are needed to account for these constructions, namely a scalar analysis for the N-BY-N construction and a mereological one for the NUM-BY-NUM construction.
PENGARUH PEMASANGAN FILTER UDARA TERHADAP PERFORMA MESIN VESPA SPRINT 150cc

ABSTRACT Now a means of transportation that are rarely loved by the public are old vehicles which are now rarely found  in the community. Such as the problem that  is often found  is that  old  vehicles  have decreased  in performance and spare parts are difficult to find. This study aims to determine the effect of the carburetor filter on motorcycle engine performance. The research was conducted with an experimental method using a VESPA SPRINT V 150cc bicycle in 1975. The carburetor filter was varied, namely testing the standard filter, testing without filters. Experiments were carried out using the dynotest test tool. Measurement of engine speed and dynotest roller rotation. Premium fuel consumtion meansurement. The test result data is processed to obtain power and torque. The results of these calculations are displayed in tables and graphs. Based on the test result, it is found that the maximum power increases without an air filter with a result of 6.0hp at 8013rpm while the maximum torque increases with an air filter with a result of 6.0nm at 6268rpm. Keywords : Performance, Air Filter, Vespa.