Reviewerly/exHarmony huggingface dataset:
A Fast, Dynamic method to identify attributes sets using Corelation-Guided Cluster analysis and Genetic algorithm Techniques

Dimensionality reduction is essential in both data mining and machine learning techniques. Reduction of the number of functions can be defined as dimensionality. Computational expense and large amounts of data are making machine learning models challenging to use in the present environment. As the number of characteristics grows, the model becomes more dynamic, and overfitting becomes more likely. As training a machine learning model on a large number of features produces overreliance on the training data, model performance is low on real-world data, resulting in poor outcomes. Based on correlation-based cluster analysis and Genetic algorithm, this research offers a novel FS hybrid three-stage method. Two methodologies are developed in order to better pinpoint the target region of the third phase. These methodologies are a function clustering-based technique with minimal computational cost and a filter FS approach. The third stage is to find a subset of functions that provides an ideal mix of readability and functionality by way of a global readability evolutionary algorithm. Symmetrical insecurity-based removal, fast link-based clustering, and genetic algorithm: These stages are meant to increase the efficacy of a symmetrical insecurity-based removal procedure, a quick link-based clustering technique, and a genetic algorithm. For the sake of comparison, the suggested algorithm is contrasted to other FS algorithms found on openly accessible datasets in the physical world. The experimental findings shown that, with the least price of computation, the method can discover a successful function subset.
The Effectiveness of Using PQ4R Technique for Teaching Reading

This research aimed at knowing the effectiveness of using PQ4R technique in teaching reading at the second grade students of SMPN 3 Jonggat in academic year 2018/2019. The kind of this research was an experimental research. The population of this research was the second grade students of SMPN 3 Jonggat which consists of 132 students and the sample was two classes that consist of 66 students. The technique of collecting data used 20 multiple choice questions. Based on the result of data analysis, it found that the mean score of students in experimental group is 14,09 and in the control group is 8,03,  the value of t-test is 5,27  and the value of t-table is 2,000 in the level of significance  0,05 and 2,660 in the level of significance 0,01. Therefore, the t-test was higher than t-table. The conclusion of this research showed that the use of PQ4R technique for teaching reading is effective.
NECTEC’s Participation in WAT-2021

In this paper, we report the experimental results of Machine Translation models conducted by a NECTEC team (Team-ID: NECTEC) for the WAT-2021 Myanmar-English translation task (Nakazawa et al., 2021).Basically, our models are based on neural methods for both directions of English-Myanmar and Myanmar-English language pairs.Most of the existing Neural Machine Translation (NMT) models mainly focus on the conversion of sequential data and do not directly use syntactic information.However, we conduct multisource neural machine translation (NMT) models using the multilingual corpora such as string data corpus, tree data corpus, or POS-tagged data corpus.The multisource translation is an approach to exploit multiple inputs (e.g. in two different formats) to increase translation accuracy.The RNN-based encoder-decoder model with attention mechanism and transformer architectures have been carried out for our experiment.The experimental results showed that the proposed models of RNNbased architecture outperform the baseline model for the English-to-Myanmar translation task, and the multi-source and sharedmulti-source transformer models yield better translation results than the baseline.
Investigasi Bukti Digital Aplikasi We Chat Menggunakan Framework Integrated Digital Forensics Proses Model (IDFPM) Berbasis Sni 27037:2014

Social media is an alternative means of communication on smartphones, as many as 28% of the WeChat instant messenger application is used as a social interaction for the delivery of messages by senders and recipients, Cyberbullying on the WeChat application results in intimidation by users, so to deal with thecrime of Cyberbullying applications WeChat on Smartphones requires a Mobile Forensic technique to identify digital evidence of verbal conversations on the WeChat ap-plication using the Framework In-tegrated Digital Forensics Process Model (IDFPM) method based on SNI 27037: 2014 which is carried out on Smartphones. WeChat application which was previously encrypted and hashing values of md5 and  sha1 are authentic, as well as metadata or timestamp in the WeChat application conversation mes-sages using the Mobileedit Forensic Express Tools, and successfully implemented Frame Work Inte- grated Digital Forensic Process Model (IDFPM) based on SNI 27037: 2014 on the forensic investiga-tion process using Android Smartphone media.Keywords: Cyberbullying, WeChat, Mobile Forensics, Framework, SNI 27037: 2014
Anno-Mate: Human–Machine Collaboration Features for Fast Annotation

Large annotated datasets are crucial for training deep machine learning models, but they are expensive and time-consuming to create. There are already numerous public datasets, but a vast amount of unlabeled data, especially video data, can still be annotated and leveraged to further improve the performance and accuracy of machine learning models. Therefore, it is essential to reduce the time and effort required to annotate a dataset to prevent bottlenecks in the development of this field. In this study, we propose Anno-Mate, a pair of features integrated into the Computer Vision Annotation Tool (CVAT). It facilitates human–machine collaboration and reduces the required human effort. Anno-Mate comprises Auto-Fit, which uses an EfficientDet-D0 backbone to tighten an existing bounding box around an object, and AutoTrack, which uses a channel and spatial reliability tracking (CSRT) tracker to draw a bounding box on the target object as it moves through the video frames. Both features exhibit a good speed and accuracy trade-off. Auto-Fit garnered an overall accuracy of 87% and an average processing time of 0.47 s, whereas the AutoTrack feature exhibited an overall accuracy of 74.29% and could process 18.54 frames per second. When combined, these features are proven to reduce the time required to annotate a minute of video by 26.56%.
Library Services in E-Learning Environment: Its Different Application Area

Electronic learning refers to any learning with the aid of information and communication technology (ICT) such as online learning, webinars, discussion forums, chats, computer-based learning, and educational materials on videos (Wang, 2004). Currently, peoples are directly or indirectly being dependent on the internet learning. In the corona virus pandemic peoples are actually had no option other than doing work or studied through internet. They also enjoy it because of the attractive features of online learning and working. Nowadays ICT is being used in everywhere, of course in education too. E-learning is internet based learning provide faster learning at low cost with high reliability. Development of ICT as well as new educational models require librarian to advance their scope to e-collection and e-services. Today users need to directly access required information on any web enabled devise at any time from any location. Libraries are also migrating towards the digitisation in order to support the e-learning. Only converting traditional library to digital library is not the solution at all in e-learning environment. Libraries must provide digital based services to their users to influence them toward the library. This paper highlights the possible area of library services that enables users to use library resources more enthusiastically in e-learning environment.
Age classification using convolution neural networks using a local dataset

Human faces reveal various information including gender, age and ethnicity. A challenging problem for existing computer vision system is to estimate human age effectively. The age of a person can be estimated based on how the features tend to appear at a certain age. This can help develop applications and devices based on age classification. To develop and deploy such an application or device within Pakistan there is a need to identify if age classification will work with the local features. The existing dataset was not covering the local features regarding ageing for people of Pakistan. In this study, a dataset comprising of 9920 images from different areas of Pakistan is created. Features extracted from specific areas of the face are feed for training the models. Feature extraction and classification were done by using a convolutional neural network (CNN). The results help in concluding that CNN performed reasonably well for Pakistani face dataset for age classification where the model accuracy came up to 92%. Various applications like age-restricted item vending machines or access to hospitals for under-age visitors can be developed by using the model trained in this work.
Doctors' and Nurses' Social Media Ads Reduced Holiday Travel and COVID-19 Infections: A Cluster Randomized Controlled Trial

During the COVID-19 epidemic, many health professionals started using mass communication on social media to relay critical information and persuade individuals to adopt preventative health behaviors. Our group of clinicians and nurses developed and recorded short video messages to encourage viewers to stay home for the Thanksgiving and Christmas Holidays. We then conducted a two-stage clustered randomized controlled trial in 820 counties (covering 13 States) in the United States of a large-scale Facebook ad campaign disseminating these messages. In the first level of randomization, we randomly divided the counties into two groups: high intensity and low intensity. In the second level, we randomly assigned zip codes to either treatment or control such that 75% of zip codes in high intensity counties received the treatment, while 25% of zip codes in low intensity counties received the treatment. In each treated zip code, we sent the ad to as many Facebook subscribers as possible (11,954,109 users received at least one ad at Thanksgiving and 23,302,290 users received at least one ad at Christmas). The first primary outcome was aggregate holiday travel, measured using mobile phone location data, available at the county level: we find that average distance travelled in high-intensity counties changed by -0.993 percentage points (95% CI -1.616, -0.371, p-value 0.002) the three days before each holiday. The second primary outcome was COVID-19 infection at the zip-code level: COVID-19 infections recorded in the two-week period starting five days post-holiday declined by 3.5 percent (adjusted 95% CI [-6.2 percent, -0.7 percent], p-value 0.013) in intervention zip codes compared to control zip codes.
Multimedia Technology and Application Course Based on Application Talent Training Construction and Practice of Three-dimensional Teaching Resource Base

Multimedia technology and applied three-dimensional teaching resources based on application-oriented talent training are a complete set of teaching resources database, including centralized teaching- -online learning resources- -skill training- -text textbook, and integrating a variety of resources. The main teaching methods include the teaching mode of multimedia classroom guidance, computer practice guidance, after-school self-study, and the combination of independent interactive teaching between teachers and students online. After more than 10 years of continuous accumulation, the three-dimensional teaching resource database has been established and popularized, which has formed a variety of teaching results, and has achieved good teaching results in the teaching practise.
Is Internet Usage improving the Academic Achievement of Adolescent Students in Chhattisgarh? A Study Across Locale and Gender

Use of Internet has become very widespread among students of all ages and regions for various purposes in everyday life. In the present paper the effect of use of Internet by the adolescent students on their Academic Achievement is discussed systematically. Data from the students belonging to urban, rural and tribal regions of Chhattisgarh state is collected and is analysed on the basis of locale and gender. ‘t’ test and ANOVA are used to find out the effect of Internet usage on the academic achievement of the students. The result obtained shows that more use of Internet by the students improves their Academic Achievement in all locales and for both the genders.
Динамический фотопортрет (практика работы в рамках I Всероссийского форума духового искусства «Енисейские фанфары»)

This  article  is  devoted  to  illumination  of dynamic photo portrait technology. The problem is posed by  the  analysis  of  the  technique  for  performing  digital photography from the standpoint of the theory of quantum physics. The author of the work focuses on the function of the photographer as an observer and his influence on the  result  of  photofixation  of living  reality.  The  article tests  the  theory  of  a dynamic  portrait  in  transfer  to  the photography process. The author of the study understands four  main  ways  of  working  on  a dynamic  photo  portrait. The creative process of creating a dynamic photo portrait itself  is  considered  on  the  example  of  photography  of the  I  All-Russian  Forum  of  Brass  Art  “Yenisei  Fanfare” (Krasnoyarsk, December, 2020). The author also shows the possibilities of expanding the technique of dynamic photo portrait  through  experiments  with  the  phenomenon  of augmented reality through a QR code accompanying photo work.
The Study of Road Accident Trends at Johor State Road Using Analythical Hierarchy Process (AHP) and Geoda

Road traffic accidents are usually happened and keep increasing year by year in Malaysia. It will give a adverse impact at the road also to the road user. It has been announced every day in the social media, television broadcast, radio and newspaper. There are several causes that contribute to the accident such as faulty vehicle, uneven roads, driver behavior and many more. So, with all these causes, it might be the reason why the road accidents keep on increasing. The purpose of this case study is to determine the highest road accident ranking based on the types of injuries at the state road, Johor. Then, another purpose is to identify the current traffic accident trends. To accomplish the first purpose of this study, secondary data which is from Balai Polis Traffic, Batu pahat will be used to get an accident data and the Analythical Hierarchy Process (AHP) will be proceed to find the road accident ranking based on the types of injuries. This case study will use the five years of road accident data which is from the year 2016 until October 2020. Next, Geoda will be used to insert the data about the road accident trends. With those analysis, the highest road accident ranking based on the types of injuries and the road accident trends can be obtained and achieve all the objective of this case study. Besides that, it will be useful as a reference to any party in the future for the road traffic management.
Running in Circles: Uncovering the Clients of Cyberespionage Firm Circles

Thanks to Rapid7 and Censys for providing research access to their data feeds.Bill Marczak’s work on this report was supported, in part, by the International ComputerScience Institute and the Center for Long-Term Cyber Security at the University ofCalifornia, Berkeley.The authors would like to thank Jeffrey Knockel for peer review and Stephanie Tran forresearch assistance. Special thanks to several other reviewers who wish to remain anonymousas well as TNG.
Food insecurity in relation to governance in Uganda

Aim: The study's overarching objective was to examine the causes of food insecurity in relation to governance and suggest ways to combat the problem and better the population's lives.Method: Documentary review is used as a qualitative research method in this exploratory study to glean information about food insecurity and governance laws already on the books in Uganda.Data is analyzed using both descriptive and interpretive approaches.Findings: Deforestation and land disputes are two examples of government failures contributing to food insecurity.Increased refugee movement is a costly problem for the country, but it benefits a select few within the relevant institutions.Financing alternatives that generate new jobs for people and boost the availability of healthy, nutritious food are the key to solving all of these problems.There have been several studies done on how to best improve food insecurity and governance ethics in Uganda, and this is one of them.Implications/Novel Contribution: This research adds to the body of knowledge on partnering to increase government revenue, enhance governance, combat food insecurity, and decrease unemployment.
THE EVALUATION OF THE NEW STUDENT ONLINE ADMISSIONS POLICY (PPDB) IN GORONTALO PROVINCE

The objectives of this research are: 1) to analyze the implementation process of PPDB Online system and find the obstacles faced in the implementation of the online PPDB system in SMK Negeri 2 Gorontalo school year 2020/2021; 2) to evaluate the policy that has been implemented by SMK Negeri 2 Gorontalo the process of implementing PPDB online and whether the policy that has been implemented can run well and provide solutions to the implementation process of ppdb online; 3) to evaluate the factors that inhibit the policy that has been run by smk Negeri 2 Gorontalo online PPDB implementation process. This research uses qualitative approach. To obtain objective results, qualitative research is conducted by exploring and breaking through the symptoms that interpret the problem or conclude the combination of various problems as presented by the situation. The results showed that: 1) in the Process of Implementing PPDB Online At SMK Negeri 2 Gorontalo School Year 2020/2021 judging from the flow of acceptance of new students has been run well, but the results have not been efficient; 2) implementation of PPDB Online Policy in SMK Negeri 2 Gorontalo judging by the number of acceptable learners, registration system, selection system, and registration time is still not running effectively so that the results are not efficient; 3) The factors that hinder the implementation of ppdb policy online are constraints on the use of applications, and constraints on internet connection.
Biometric identification of a person using a multi-parameter automated system

The article is devoted to the development of a system for biometric identification of a person by face, fingerprints and voice. Two-dimensional and three-dimensional characteristics of a person's face, taking into account area and volume, were used as informative signs of biometric identification of a person by face. For biometric identification of a person by fingerprints, an FPM10A scanner and an Arduino microcontroller were used.Another type of signs is local. They are also called minutiae (features or special points) - unique features inherent only in a specific imprint, determining the points of change in the structure of papillary lines (ending, bifurcation, rupture, etc.), the orientation of the papillary lines and coordinates at these points. Each print can contain up to 70 or more minutes. For biometric identification of a person by voice, the MFCC and PLP algorithms are used for digital processing and analysis of audio recordings. Various algorithms are used for acoustic analysis of speech: hidden Markov models, a model of a mixture of Gaussian distributions. The result of determining the tone of speech and the content of speech for the purposes of identification by voice is obtained.On the Visual FoxPro DBMS, a “Multiparameter automated system for biometric identification of a person” has been developed.
PERAN INSTRUMEN EUCS (END USER COMPUTING SATISFACTION) SEBAGAI ASSESMENT TOOLS SYSTEM INFORMASI DARI PERPEKTIF GENDER PENGGUNA PERPUSTAKAAN

This article explains that the existence of libraries in the modern era requires keeping up with the times by combining information services with information technology. This aims to make the library continue to survive and be able to compete with other information institutions. The goal is to improve the quality of information services in the library. In terms of improving library services, user satisfaction aspects are important in measuring the usefulness and success of information systems in libraries. The method used in this paper is literature study, with a descriptive analysis approach. In this paper the author focuses on research studies using the EUCS (End User Computing Satisfaction) model through a gender perspective approach which will be tested using the EUCS variable in full. The variables include content, accuracy, format, timeliness, ease of use, and speed of access. The author concludes that gender will have a beneficial and easy effect on interest in using information systems in libraries. This can be seen from the fact that men are more influenced by the perceived benefits of using the information system in the library, while women are more influenced by convenience.
Automatic Face Recognition for Forensic Identification of Persons Deceased in Humanitarian Emergencies

Forensic scientists often need to identify deceased people.The identification process mainly consists of the analysis of the DNA, dental records, and physical appearance.In humanitarian emergencies, the antemortem documentation needed for forensic analyses may be limited.In this context, face recognition plays a relevant role since antemortem pictures of missing persons are commonly made available by their families.Therefore, automatic recognition systems could be of paramount importance for reducing the search time in databases of face images and for providing a second opinion to the scientists.However, there are only few preliminary studies on automatic face recognition methods for forensic applications, and none of the works in the literature consider problems related to humanitarian emergencies.In this paper, we propose the first study on automatic face recognition for humanitarian emergencies.Specifically, we propose a recognition methodology and we analyze the accuracy of different biometric methods based on deep learning strategies for a real study case.In particular, the considered data regard recent deaths of migrants in Mediterranean Sea.The obtained results are satisfactory, and suggest that automatic recognition methods based on deep learning strategies could be effectively adopted as support tools for forensic identification.
Application of Virtual Reality (VR) Interactive Technology in the Display of Scientific and Technological Achievements

In recent years, the development of science and technology has promoted the rise and development of VR virtual reality interactive technology. More and more exhibitions and museums have begun to use this technology to create new ways to display works, and integrate VR virtual technology into the process of displaying results. In the visual three-dimensional display, people can improve their understanding of scientific and technological achievements that are difficult to understand, which is of great help for people to better understand, feel, and use technology.