Reviewerly/exHarmony huggingface dataset:
A Combination Part of Speech Tagger using Selected Voting Methods

The development of resources in any language is an expensive process, many languages, including the indigenous languages of South Africa, can be classified as being resource scarce, or lacking in tagging resources. This study investigates and applies techniques and methodologies for optimising the use of available resources and improving the accuracy of a tagger using Afrikaans as resource-scarce language and aims to determine whether combination techniques can be effectively applied to improve the accuracy of a tagger for Afrikaans. In order to do this, existing methodologies for combining classification algorithms are investigated. Four taggers, trained using MBT, SVM1ight, MXPOST and TnT respectively, are then combined into a combination tagger using weighted voting. Weights are calculated by means of total precision, tag precision and a combination of precision and recall. Although the combination of taggers does not consistently lead to an error rate reduction with regard to the baseline, it manages to achieve an error rate reduction of up to 14.54% in some cases.
Development of Media Competency of Students of Pedagogical Universities in the Process of Studying the Course ”Computer Sciences and Information Technologies”

The article discusses the methodology for the development of media competency of students of pedagogical higher educational institutions based on the improvement of knowledge and skills in the field of media in the process of studying the course “Computer sciences and information technologies The content of the course “Computer sciences and information technologies” improved by media knowledge, media competencies and their contents, as well as criteria and levels of development of media competency of students of pedagogical higher educational institutions are offered.
Students' Self-Efficacy In Speaking Class

The formulation of the problem of this research is: How is Students’ Self-Efficacy in Speaking Class Darul Hijrah II Islamic Boarding School Banjarbaru and What Category of Students’ Self-Efficacy in Speaking Class at Darul Hijrah II Islamic Boarding School Banjarbaru.Subjects were 22 tenth grade male students at the Darul Hijrah II Islamic Boarding School Banjarbaru. The object of this research is the English-speaking Self-Efficacy at the Darul Hijrah II Islamic Boarding School Banjarbaru and what categories of students Self-Efficacy in Speaking Class at Darul Hijrah II Boarding School Banjarbaru.To collect data, the authors use several techniques such as observation, interviews, and questionnaires. Data processing in this study was divided into six phases: complicated, reduction, display, monitoring, and drawing conclusions. Then, all data are analyzed descriptively, qualitatively, and concluded inductively.The results of this study state that the Students’ Self-Efficacy in Speaking Class at Darul Hijrah II Islamic Boarding School Banjarbaru is good, because students have a strong confident when they speak English and do the better task in the classroom or even outside of the classroomThis study also found that the Category of Students’ Self-Efficacy in Speaking Class at Darul Hijrah II Islamic Boarding School Banjarbaru show that they dominant in Academic Self-Efficacy. Because Students learn and do speaking activity mostly in the classroom. However the students often use English in their daily life, especially in the dormitory.
Motivational level towards the use of ICT among level 2 primary school pupils

The use of Information and Communication Technologies (ICT) is steadily integrated into teaching and learning process. Therefore pupils' exposure and opportunities in using ICT in learning has become an important factor. The purpose of this research is to investigate the level of motivation towards the use of ICT among ESL learners in primary school level. Thus A group of 70 level two (year 4, 5 and 6) pupils of a suburban primary school in Alor Gajah, Melaka were chosen as respondents for this research. The research adopted quantitative methods to find out the motivational level of pupils in learning the English Language towards the use of ICT in the 21st century learning. Finding showed that the ESL pupils are motivated to use ICT in learning where in specific of this research, the level of motivation among female pupils are higher than male pupils. In conclusion, it is good if educators could find a way to be more competence in integration of ICT in teaching and learning process based on what barriers teachers are facing in using ICT in their daily classrooms in schools.
The Operations/Applications of the Administration of Criminal Justice Law in Edo State

Various states in Nigeria have passed the Administration of criminal justice bill into law.Lagos state is the first followed by Anambra state.Other states include Ekiti, Ondo, Cross Rivers, Akwa Ibom, Kaduna, Jigawa, and recently Edo State.The Administration of Criminal Justice Law of the states repeals the Criminal Procedure Laws hitherto operational in those states, whereas the Administration of Criminal Justice Act, 2015 which was enacted in 2015 repeals the Criminal Procedure Act, 2010 and the Administration of Justice Commission Act, 2010.The aim and purpose of these enactment is the speedy dispensation of justice whereby both the suspect or defendant and the victim of crime are all treated fairly under the law.The law has also make provisions on how the police should take down statement from the suspect and the ways and methods to treat suspect under their custody.This paper examined the innovation brought by the new law and also identifies the gaps that were present in the old law and how those gaps were adequately filled by the new law.It recommended that a lots still need to be done for the smooth application of the new law.
Integrated Secure Columnist Hexpod All- Terrain Full Time Counter-Foe Master

The present technology in the defence for the surveillance system is not effective. The different ways in which intruders invading to an unauthorized territory has increased over a year and thus causing a massive destruction and other violence which in turn results in life losses and, disturbs the peace of a country. There is no much advanced technology which can control the trespassers from invading, navigating on any terrain condition and on water with full time surveillance. In this paper, we have proposed a counter-foe night vision eyed robot, for monitoring and recognizing the foe activities along with authorized and unauthorized persons discernation within the premises using advanced Haar transformation and face recognition system with weapon detection capability. If robot recognizes any unusual activities, will automatically captures the scene and send the processed image to the base station. It can also transmit live video if necessary, at certain condition. Unlike recent technologies robot has also got the capability for detecting the invisible foe activities that takes place beneath the terra-firm with terrain switching mechanism.
PRTNets: Cold-Start Recommendations Using Pairwise Ranking and Transfer Networks

In collaborative filtering, matrix factorization, which decomposes the ratings matrix into low rank user and item latent matrices is widely used. The decomposition is based on the rating scores of users to item, with the user and item latent matrices sharing a common embedding space. A similarity function between the two represents the predicted rating of a user to an item. However, this matrix factorization approach falls short for cold-start recommendation where items have very few or no ratings. This paper puts forward a novel approach of doing cold-start recommendation by using a neural network, the Transfer Network, to learn a nonlinear mapping from item features to the item latent matrix. The item latent matrix is produced by another network, the Pairwise Ranking Network, which utilizes pairwise ranking functions. The Pairwise Ranking Network efficiently utilizes implicit feedback by optimizing the ranking of the recommendation list. We find the optimal architecture for the Pairwise Network and the Transfer Network through warm-start and cold-start evaluation. With the Transfer Network, we map the Tag Genome dataset to the item latent matrix and produce cold-start recommendations for a test set derived from the MovieLens 20M dataset. Our approach yielded a significant margin of improvement of 0.276 and 0.089 average precision at $$k=10$$ over the baseline LightFM and neighborhood averaging methods respectively.
Analysis and Trend Prediction of Urban Community Sports Based on Orthogonal Discrete Differential Dynamic Programming

Based on orthogonal discrete differential dynamic programming, this paper presents the current situation and development trend of urban community sports. The orthogonal design method is introduced into the initialization and the orthogonal discrete process is created. In this paper, the multi-stage state transition process is transformed into the iterative computation of the Key-Value data set to realize the Spark parallelization of dynamic programming (DP) and discrete differential dynamic programming (DDDDP) algorithms. On the basis of previous studies, the improved POA algorithm is proposed after the improvement of the traditional POA algorithm. Then the detailed optimization calculation and analysis are carried out to form the orthogonal optimization path setting. In order to meet the imbalance of the development of community sports in different regions, the differences of residents' sports needs and management difficulties, and the diverse needs of community sports management mode.
Cross-Attention Mechanism Recommendation Algorithm Based on LSTM

With the development of economy, tourism is favored by more and more people, and location-based point-of-interest recommendation (POI) begins to emerge.This paper proposes the lstm-based recommendation algorithm for cross-attention mechanism (L-Attention).Embedding method was used to accurately learn the location sequence and location information of users, and feature information of location data was extracted through LSTM network.At the same time, the cross-attention mechanism is introduced to conduct dynamic modeling of personalized time check-in sequence, which can integrate the user's behavioral preference, location sequence information and the influence of sequential location on next-poi, so as to improve the accuracy of recommendation.This article uses Foursquare as an experimental data set.The results show that compared with the traditional recommendation algorithm which only considers the popularity of POI and the deep learning recommendation algorithm which only considers the timing, the accuracy of the proposed algorithm is greatly improved.
Tapori: Overcoming Poverty by Building Friendship Among All Children

Around the world, children who grow up in poverty and children who grow up in middle-class homes rarely have opportunities to get to know one another. Tapori is a friendship network that seeks to m...
Japanese language education using multimedia literacy.

The purpose of this study is to examine the effects of some practical teaching and learning methods using multimedia literacy in Japanese language education. As components of multimedia literacy, SNS, YouTube clips, the recording function of mobile phones, and reading tasks were given to 29 university students in an introductory level Japanese language class. At the end of the semester, the students were asked to participate in a survey in which they evaluated whether the teaching and learning methods using multimedia literacy were helpful. The findings of the study were as follows: First, problem-solving skills, and reading and speaking skills were enhanced by using a team-based learning. Second, the class using SNS was very useful for enhancing the language skills due to the convenient presentation of learning materials, the submission and the review of assignments, and the immediate feedback. Third, Korean composition sentences and reading tasks made a great contribution to practicing pronunciation and enhancing conversation skills. Fourth, voice files and YouTube clips provided for absent students could make up for the contents they missed in class. On the basis of this study, a variety of teaching and learning methods using multimedia literacy are expected to be designed and discussed.
The Effectiveness of Smart Board Media in Teaching Reading for Junior High School Student

The use of media is really helpful in assisting the teacher in teaching and learning process. However, the effectiveness of smartboard media in teaching reading has not been testified. Thus, the objective of this study is to figure out the effectiveness of smart board media in teaching reading for junior high school students. This study was conducted in Fatih Bilingual School Banda Aceh. Second-grade students from Fatih Bilingual School were chosen as the sample of this study. Two types of tests, which were pre-test and post-test, were the instrument of this study. The data was analyzed by using statistical formula. The methodology of this study was Experimental design. The revealed data showed that the mean score for pre-test and post-test was 73.75 and 78.44 respectively. The comparison of the score between pre-test and post-test was gained through calculating the gain score, which were 2.26. Based on the result of hypothesis testing, the result of t-score in this study was 2.07 and t-table was 2.13. This result indicated that the alternative hypothesis of this study (Ha) is rejected (2.07<2.13).
Нравственно-мировоззренческий потенциал медийных проектов поколения студентов цифровой эпохи

The article actualizes the problem of formation of project thinking as one of the key competencies that students of faculties and departments of journalism should acquire during their studies. This is due, as the authors prove, primarily to the fact that in the era of social and technological transformations, this type of thinking allows not only to develop the creative abilities of the subjects of information activities, but also to achieve well-planned results in an environment where the tasks are complex, and the results are not possible to predict. Systematizing the theme and problems of the projects implemented by representatives of four universities in the region in the periods of 2011–2014 and 2015–2019, the authors conclude that the social priorities of students-journalists of the digital age, as well as the expansion of moral and ideological potential of their projects. It is proved that the new social practice causes the need to focus teachers ' attention on rethinking the legal, social, moral and ideological values that form the dominant professional and psychological culture of future media professionals.
Peningkatan Prestasi Belajar Materi Perbankan Dasar melalui Penerapan Belajar Kelompok pada Siswa Kelas X Jurusan Akuntansi dan Keuangan di SMK N 6 Surakarta

The purpose of PTK was to improve teacher professionalism. A good teacher will fulfil the teaching ability, so that student absorption and student learning outcomes so high. This study uses classroom action research (PTK). This classroom action research has four stages in the implementation of its activities are planning, action, observation, reflection. Data analysis technique using analysis comparison criteria between cycles. The results showed the application of learning through group learning can improve learning achievement of students of class X AK 3 SMK Negeri 6 Surakarta basic banking material. This is evidenced by the average of beginning the study of students amounted to only 58.00% can be increased in the first cycle of 74.00%, which means from the pre cycle to cycle I have an increase of 16.00% and the percentage of the second cycle learning outcomes learners reached 85.71%, which means an increase of 11.71% from cycle I. Score this second cycle has already reached the target of investigators which amounted to 85%. Therefore, the study was discontinued until the second cycle.
ANALISIS JALUR FAKTOR YANG MEMPENGARUHI MOTIVASI MENABUNG SISWA SEKOLAH DASAR

Path analysis was developed by Sewall Wright in 1934 which aims to explain the direct and indirect effects of a set causal variable (exogenous variables) on a set of variables (endogenous variables). Primary data used in this study. The total population is 70538 Public Elementary School students in Jombang district. The sampling technique used was simple random sampling, and 270 samples were taken from the population. The purpose of this study was to determine the structural relationship between exogenous variables (parent motivation, teacher motivation) on endogenous variables (students' understanding of money and saving and motivation to save). The results showed that the variable Y2 (motivation of students saving) had direct and indirect influenced on variables X1 (parent) and X2 (teacher).
Webinar: Making the most of your NeSI HPC allocation

If effectively anticipating your job’s HPC resource requirements is a skill that you want to develop, come along to NeSI’s next “Quick Tips” webinar: Make the most of your NeSI HPC allocation.NeSI’s Anthony Shaw will demonstrate how you can easily monitor the efficiency of your HPC jobs, and why doing so could help you reduce your job’s queueing time.This free, 1 hour webinar will cover:Which SLURM commands can help you view how efficiently your job ran (eg. sacct),what does an efficient job look like in terms of CPU utilisation, andtips for optimising job configuration and reducing your queue timeThis webinar is for anyone working on NeSI, but is especially helpful for those looking to reduce the time their projects spend in the queue. (More efficient jobs will have less effect on your Fair Share score, resulting in shorter queue times)
HISTORICAL REVIEW OF EDUCATIONAL REFORM IN INDIA FOR 21ST CENTURY

Introduction: Radical changes in Indian Education have been too few and too slow to come about. In fact, the whole history of Indian Education in the modern period falls into two stages : 1800-1900: During this period, one radical change in education was carried out, viz., the traditional system of Indian education was replaced by the colonial system.1900-2000 : During this period, decided to bring about another radical change in education, viz., to replace the colonial system by the national system of education. Still trying to reach this goal and it would be an achievement even if we do so by the end of the century.
Carrot or Stick: Overcoming Silos in Enterprise Architectures

Silo mentality is a phenomenon describing the aversion of sharing e.g. talent, data, and know-how beyond one’s immediate functional and hierarchical environment. Thereby, these silos are mental constructions, which are reflected in procedures and therefore information systems. In an economic environment that is information-driven, getting business units to share information across these organizational silos is highly relevant. This paper uses an enterprise architecture management (EAM) view on silos, where some actors (e.g. architects) guide other actors (e.g. project managers) towards contributing to enterprise-wide goals. To reach desired outcomes in EAM, compliance with enterprise architecture guidelines should be reached. For this setting, the present study investigates drivers for information sharing policy compliance. It combines General Deterrence Theory with Compliance Theory and employs an online experiment. The results reveal that sanctions, rewards, and their interaction significantly affect compliance, whereas the certainty of these sanctions or rewards to materialize did not.
Analytical overview of defuzzification methods

Fuzzy systems are of basically two types- fuzzy controllers and fuzzy reasoning systems. Defuzzification is the last step of the fuzzy system, which converts the fuzzy output set to a crisp value. This paper discusses the essential set of parameters that a defuzzification method should exhibits. Classification of different defuzzification methods is presented and each method is evaluated briefly based on the parameters discussed. The analysis of these methods emphasizes the need for a defuzzification method suitable for fuzzy reasoning systems as well as fuzzy controllers.
Prediction of the trajectory of the tracking object based on adaptive controller

Abstract A method for controlling an object that monitors another object is considered. The mathematical formulation of the problem of predicting the trajectory of motion is given. The solution is based on training an adaptive neurosemantic controller. The semantic units of the management process are defined. To highlight the prediction trajectories, the auto-structuring method is used. The results can be used to solve a number of practical problems of autonomous intelligent control in the face of uncertainty. The experiments showed that if there is a pattern (lack of randomness in the behavior of the tracking object), the adaptive controller can determine the behavior of the tracking object and has the ability to predict its movement over a finite number of training steps. It is noted that the implementation of semantic neural network technologies is adapted to the specifics of digital circuitry due to the structure of neurons and the mechanisms of learning.
Advisory Content-Length for HTTP

The HTTP Content-Length header field is overloaded with (at least) twoduties: message delimitation in HTTP/1, and metadata about the lengthof an incoming request body to the software handling it. This causesconfusion, and sometimes problems. This document proposes a new headerto untangle these semantics (at least partially).
Research on GPS Timing Remote Synchronization Algorithm in High Altitude Meteorological Data Acquisition System

Abstract The various high altitude meteorological parameter influence each other, and test data of different locations need to be synchronized. In this paper, we propose a GPS timing remote synchronization algorithm for high altitude meteorological data acquisition system, which can make the meteorological data at different locations meet the requirements of synchronization. GPS module uses NEO-M8N chip of UBLOX to achieve GPS timing remote synchronization, which include hardware and software designs for the system. We use the designed system to measure high altitude meteorological data in two different locations, analyze experimental results and show the relationship between meteorological parameters. In the processing for experimental results, we employ Fletcher-Reeves algorithm based on artificial neural network to predict meteorological data, and analyze training errors of the algorithm. The proposed system can realize reception and processing of remote data synchronously, and predict the meteorological data for weather forecast.
“Computer Programmed With Just One Finger”

This lesson plan introduces students to the Roland TR-808 drum machine – a device that was central to early rap production – through dictation exercises. Four songs are included for in-class dictation exercises, graded in terms of difficulty. The beats for these songs can be notated on a table (easily created in Microsoft Word or Excel) that mimics the functionality of the machine itself. This lesson plan is suitable for students with little or no musical training, but some work with identifying the beat and counting measures is recommended.