Reviewerly/exHarmony huggingface dataset:
Perbandingan Data Mining Mengidentifikasi Pola Keterkaitan Variabel Kecelakaan Lalu Lintas Di Polresta Kota Medan

This research was conducted to analyze the results of data mining processing on a priori method and the method of k-means clustering in analyzing the comparison of the two methods to factors related to the incidence of traffic accidents that occurred in the POLRESTA Medan area. Analysis of the pattern of the causes of traffic accidents conducted in this study using Apriori data mining methods and k-means clustering. Apriori method is a data mining method that produces association patterns or linkages between variables or itemset based on frequent or frequent itemset. While the k-means clustering method is a method that groups data into different groups so that data with certain patterns will form their respective groups. By using a priori and k-means clustering, a comparative analysis can be obtained between the two methods. This research was carried out by collecting data on traffic accidents obtained from POLRESTA Medan followed by the development of a data mining software that implements the Apriori method and k-means clustering to produce the association and clustering patterns contained in the accident data. The results of the comparison between the two methods can then be information and references to the performance of the two methods in processing traffic accident data in POLRESTA Medan. Keywords : Accidents, Traffic, POLRESTA Medan, data mining, a priori, k-means.
Sino-Foreign Cooperation in Education: An Effective Approach for the Transformation and Development of Local Universities

English teaching is not only in the key position, but the effect of innovation directly affects the success of the Chinese and foreign cooperative running programs.Sino-foreign cooperation in educational project belongs to the new model of school running, which puts forward higher demands for the English teaching in the transition and development of local universities.Under this background, only focusing on the teaching problems in students' learning motivation is not enough, weak teaching strength, teaching materials localization and other aspects of teaching have become major problems.Therefore, it is of great significance to strengthen the teaching status analysis and propose targeted optimization strategies for English teaching [1].Sino-foreign cooperation in running schools is a bilateral educational institution, which aims at the education and teaching activities held in China under the policy of related school running regulations and implementation methods.With the increasing demand for talent in China, the teaching model has been widely concerned and recognized by all walks of life.Although the undergraduate English teaching in the project has made a great progress, it still has a large room for improvement and is worth studying.
Ценностное отношение к жизни у студентов с различной профессиональной направленностью

The article discusses the problems of value attitude to life at students of pedagogical and agrarian universities with different professional orientation. The author describes the problem of deviant and self-destructive behavior of teenagers and of the young peoples who are experiencing a crisis of professional and personal identity. Analyzes the concept of “value attitude to life”. The results of the conducted empirical research can be applied in the framework of the activities of the psychological service of the University.
Improvising multinomial Classification Accuracy of the model using Feature Selection and Class Imbalance algorithms

Higher education institutions across the globe are tirelessly making efforts to improvise the student performance and curb down the attrition rates. Academic institutions hold a massive amount of information like students personal details, classroom activities, academic achievements, etc., Thus obtaining insights from this data is highly imperative to take crucial decisions for education institutions. Embracing technology is the only solution to address these challenges and this in turn attributed to the usage of Education Data Mining. In this research work, we made a conscious effort to predict the performance of students using various attributes like socioeconomic, academic and demographic details. To overcome the class imbalance problem, we applied the Synthetic Minority Over-sampling Technique (SMOTE) technique. We conducted Pearson's Chi-Squared Test to identify important attributes and Ensemble methods were used to build the prediction model. The results showed that Random Forest performed better than the Bagging and Boosting models.
Research on the Cultivation Mode of Local Application-oriented Universities——Taking Wuhan Business University Hackerspace as an example

In the government work report early than 2015, the premier Li Keqiang proposed business startups and innovation, and regard them as one of the engines fueling Chinese economic transition and growth.At the same time, maker, hackerspace, creative people, creative education, cultivation of innovative people became the top focus in the society, especially in the university.The cultivation of college students' innovative ability had become an urgent task in the reform of university, which requires the building of cultivation mode of local application-oriented universities.It is the requirement of the times, as well as the requirement of the education development.Based on the targets of cultivation and innovative ability for local application-oriented universities, the paper takes Wuhan Business University hackerspace as an example, setups a cultivation mode in application-oriented universities from instructional system, curriculum system, teaching method and teaching evaluation.
Feature Selection Method from Multiclass Text with Class Imbalance Problem

A text classification model in which one of the class variables is biased to the majority class typically classifies most documents into the majority class to enhance the overall classification accuracy. It is called a class imbalance problem. This study proposes a feature selection method based on simplified chi-square statistics to select features in each class for developing a robust model to the problem. Proposed method and typical feature selection methods are compared by Reuter21578 data. Experiment shows that the proposed method is superior to typical feature selection methods in terms of naïve Bayes and support vector machine which are robust to the class imbalance problem.
An Action Research on English Teaching in Vocational and Technical College

In order to transform technical college English teaching towards more directly to the future use of students, and help the graduates apply their English knowledge to their job, we abstract English for Specific Purposes teaching methodology, follow action research requirements and conduct the research from the following aspects: the accumulation of basic knowledge, the training of comprehensive skills, the infiltration of corporate culture and the integrity between general English teaching and English teaching for Electric Power Industry. The paper aims at improving English teaching quality in vocational college. However, there are some hindrances which exist in current College English teaching. First, the quality and orientation has been questioned by many English educators and reforms have been taken place continuously. Second, large class size make it very difficult for teachers to focus on studentsâ€™ individual need and implement the ESP methodology. Third, the teacher team tends to be old and lack young force.
Computing Exact Guarantees for Differential Privacy

Quantification of the privacy loss associated with a randomised algorithm has become an active area of research and $(\varepsilon,\delta)$-differential privacy has arisen as the standard measure of it. We propose a numerical method for evaluating the parameters of differential privacy for algorithms with continuous one dimensional output. In this way the parameters $\varepsilon$ and $\delta$ can be evaluated, for example, for the subsampled multidimensional Gaussian mechanism which is also the underlying mechanism of differentially private stochastic gradient descent. The proposed method is based on a numerical approximation of an integral formula which gives the exact $(\varepsilon,\delta)$-values. The approximation is carried out by discretising the integral and by evaluating discrete convolutions using a fast Fourier transform algorithm. We give theoretical error bounds which show the convergence of the approximation and guarantee its accuracy to an arbitrary degree. Experimental comparisons with state-of-the-art techniques illustrate the efficacy of the method. Python code for the proposed method can be found in Github (this https URL).
Secure Transmission of 3D-QRMW Quantum Images via Quantum Fourier Transform in Blind Cloud

This study explores three-dimensional multi-channel quantum image representation model (3D-QRMW) which can be used in many fields such as three-dimensional medical imaging, atomic imaging, and infrared images.Quantum images are transmited between participants by Quantum Fourier Transform (QFT) in which output qubits are reordered by blind Cloud with permutation.Also key with length K=16N is applied to share signature for recipients.This allows all members to know only their signature information.Security analyzes show that quantum images in the model of 3D-QRMW are transmitted safely.
Design, Manufacturing & Analysis of Human Powered Forklift

In today’s life, there is a wide variety of forklifts, from the large heavy loading truck to the one that works among narrow aisles. Forklifts have become one of the basic transportation tools we use in our lives. With all the forklifts in existence, we find that there are some improvements that can be made to bring the forklift to a better performance. The main aim of our project is to design and develop fork lift which will lift the load and then it will transfer the load from one place to another place. The 3D model was drawn with the help of CATIA model. The experimental testing was carried out. The result & conclusion was drawn after making the experimental testing.
ИТАЛЬЯНСКИЙ ЯЗЫК ЭПОХИ ВЕЛИКИХ ГЕОГРАФИЧЕСКИХ ОТКРЫТИЙ: АНОНИМНЫЙ ТРАКТАТ «ПЛАВАНИЕ ИЗ ЛИССАБОНА К ОСТРОВУ САН ТОМЕ» В ПЕРЕВОДЕ ДЖ. Б. РАМУЗИО

The present article is devoted to the linguistics peculiarities of the XVI century anonymous geographical treatise “Voyage from Lisbon to the island of San Tome” translated from Portuguese into Italian by G.B. Ramusio - a Venetian statesman, humanist, publisher, geographer and translator, one on the members of the “Accademia Aldina”. The language of Ramusio’s translation is quite eclectic, which suggests the influence of both the Venetian dialect and the original language of the treatise. Deviations from the language standard, codified in the early XVI c. by P. Bembo and other prominent grammarians, are present at all the levels of language (phonetics and orthography, morphology, lexis, morphosyntax). In our view, the reasons underlying this phenomenon are of sociolinguistic nature: the codified literary language was stylistically rigid and suitable for formal and high-flown use; in order to overcome its stylistic limitations in other genres one had to rely on the living - and inevitably dialectally marked - use of the epoch. Thus, the functional-stylistic differentiation of the Italian language from the very beginning became intertwined with its regional variation.
Framework of Monitoring Patient Safety Culture by the Bootstrap Method

This study proposes a framework to monitor the patient safety culture by means of a safety attitudes questionnaire by using the bootstrap method to determine the performance of each dimension of safety attitudes questionnaire in each year based on a small sample size.The focus is not the bootstrap method itself but the philosophy of using the bootstrap method to construct the control chart-like limits to observe the performance of each dimension based on the small sample size.Hospital management can better understand how each dimension performs on a yearly basis from the data available.When more new data are available, the boundaries generated by the bootstrap method can be adjusted.Besides, the trends and changes for each dimension can be traced in a control chart that enables hospital management to observe how the patient safety culture changes from time to time.This study demonstrates the philosophy of using the bootstrap method when the sample size is seven for each dimension.The trends and changes for each dimension can be observed for hospital management by construction its control chart.
Digital Forensics Investigation on Proxmox Server Virtualization Using SNI 27037:2014

Server virtualization technology has experienced significant development so that more and more industries are adopting this technology. By using server virtualization, the industry can make savings in purchasing new servers and maintenance because virtualization allows one server to run with multiple operating systems at once. The high level of use of virtualization raises a gap for the occurrence of computer crimes involving virtualization. When computer crimes occur on virtualization, it is necessary to conduct digital forensic investigations to find useful clues in solving crime cases. Therefore, in this study a digital forensic investigation was conducted on Proxmox server virtualization by acquiring the entire storage virtualization media and carrying out checks on the results of the acquisition. Based on the investigation carried out, the acquisition technique by acquiring the entire storage media on Proxmox cannot be used because the structure of the evidence files and folders cannot be read perfectly
Spending on Education and its Role in the Human Development in Iraq in the periods (1990 – 2014)

The relation between the spending on education and the human development is considered as one of the most important phenomena that featured the international atmosphere; due to the international demands of the UN and the UNDP for providing more support to the education that is considered as the key pillar to the nations’ development. Analyzing the Human Development Index, the countries that assumed the first in ranking within the index are the ones that had allocated big part of their spending to develop their education systems. On the contrary, the countries that are last in ranking are the ones that allocated small part  of the spending to develop the education sector. Iraq, one of the last in ranking, did not expand the spending on education over 10% in the periods (1990 - 2014); and this negatively has affected the education sector, as well as all the other sectors - because the education is considered as the main provider of the trained and qualified personnel who can manage all other sectors. Additionally, education is considered as the key pillar to create knowledge societies, because it is the effective way to fight poverty, ignorance, and extremism; as well as to reduce the political and social crises, and assure security stability.
Fall Detection through Video Surveillance using CNN

There has been an exponential increase in the number of elderly people living alone. This is mainly due to the increasing number of nuclear families that have been abandoning their parents. This has forced them to take care of themselves, which is a herculean task when a person is very old. Added to this epidemic, old people are highly susceptible to balance issues due to weak musculature. It is a very deadly combination that can lead to some seriously fatal falls. The elderly people are also more prone to get severely affected by these falls and some can also be fatal. Therefore, an innovative system is proposed, that utilizes image processing for the purpose of detection of falls and provides a constant vigilance on the subject. This novel approach is made possible due to the integration of Convolutional Neural Networks and the region of interest to evaluate each frame efficiently to ascertain the fall. As soon as the fall is detected, the neighbors, relatives and the emergency services that can provide much-needed lifesavingassistance.
Recommendation System to Identify Collusive Users in Online Auctions Using the Pollution Diffusion Method

Reputation systems provide mechanisms for differentiating between honest and dishonest participants in ecommerce environments. Several reputation systems are deployed in practical electronic marketplaces. However, a considerable challenge is that malicious groups may unlawfully increase their reputation through deceitful manipulation of purchase feedback. Therefore, reputation systems must be robust and able to detect collusion, deception, and strategic manipulation. This study proposes a recommendation system to identify collusive users, inspired by observing the spread of pollution. After identifying malicious users, the suspects are likely to be identified using the proposed scheme, which efficiently reduces the relationship network size by removing relationships with positive ratings. According to the simulation results, pollution diffusion took 16 ms in a simulation involving 5000 users.
Marker Based Segmentation Revisited

Watershed segmentation generally produces a severe oversegmentation. Marker based segmentation creates watershed partitions in which each region contains a marker, avoiding the oversegmentation. We obtain a coherent picture of marker based segmentation by modelling it on node or edge weighted graphs. Links are established between the methods published in the literature and some misconceptions are corrected.
Penerapan Media Pembelajaran Berbasis Video dengan Aplikasi Video Scribe untuk Meningkatkan Keaktifan Belajar Siswa Kelas X pada Mata Pelajaran Ekonomi di SMA Muhammadiyah 2 Surakarta Tahun Pelajaran 2018/2019

This study aims to find out 1) the application oflearning media Scribe Video onEconomic subjects for students of Social Sciences X grade 2 SurakartaMuhammadiyah 2 High School, 2) increase the activity of students in the learningprocess in Economics X IPS subjects in Muhammadiyah 2 High School Surakarta.This type of research uses qualitative descriptive. Qualitative data was obtained frominterviews with Economics subject teachers of class X Muhammadiyah 2 Senior HighSchool in Surakarta, qualitative data were also obtained from suggestions andcomments from scribelearning media experts video. The design of this study isqualitative research that uses interview analysis. Data collection techniques used inthis study include: participatory observation, unstructured interviews, anddocumentation. The data analysis technique used in this study was carried out withseveral techniques including: data reduction, data presentation, verification /conclusion drawing, and data collection.The results of this qualitative study 1) Learning media applied by researchers are saidto be successful with the acquisition of a value of 48 out of 50 by subject teachers whoapply learning media to students. In addition, the difference in the level of acquisitionof the observation guidelines obtained by the researcher shows the level of differencein activity shown by students who use learning media with students who are onlytaught by lecture method, 2) Attractive learning media are able to increase studentactivity in the learning process. because interesting learning media are able to attractstudents' attention so students want to understand what is in the learning. Increasedactivity shown by students between those who use the media and not using the mediais very different, it is also supported by the statement of teachers of Economic subjectsstating that the learning media are successful in increasing student learning activenessduring Economic lessons and the media can be applied in learning.
GiulioRossetti/ndlib: Ebola

[Added]Native (transparent) support for python-igraph network objects [only static models]Opinion Evolution viz (Algorithmic Bias & Continuous state models)[Modified]'percentage_infected' model parameter has been changed in 'fraction_infected' (the former still works but is deprecated and will be removed in v.6.0.0)[Fixed]SI/SIR/SIS models probability evaluation. Now it is possible to decide whether, given a node, the transition probability is evaluated once per iteration or per infected neighbor
A Brief Analysis of College English Teaching Method under the Micro-course Model

In recent years, with the continuous development and popularization of computer and network technology, teaching methods in some aspects have undergone earth-shaking changes.Micro-teaching is a brand-new teaching model.Micro-teaching originated in foreign countries and has been popularized and applied in many colleges and universities since it was introduced into China.From the actual effect, micro-lesson is in line with the characteristics of the times, in line with the students learning habits, and welcomed by the majority of students.In the new historical period, how to introduce the micro-teaching mode into college English teaching and further exert the effect of micro-teaching is a historical task for the college English educators.Traditional College English teaching is carried out mainly by means of classroom teaching.On the one hand, it is restricted by the progress of the course, on the other hand, it is restricted by the class time In Traditional College English teaching, it is difficult for a teacher to explain the characteristics of different students and the degree of their digestion and comprehension of Knowledge This creates a disconnect between what the teacher is teaching and what the students are learning.Micro-lesson, from its name, it is a short course, and short and concise is the most notable feature of micro-lesson.Micro courses are generally around the content of a knowledge point or difficult point to tell the story.The length of the micro-lesson is generally controlled at about ten minutes.Micro class seems very small, but its role is very powerful.At present, the production of micro courses has shown the trend of modular development.
Applied compositional data analysis: with worked examples in R

"Applied compositional data analysis: with worked examples in R." Journal of Statistical Computation and Simulation, 89(16), p. 3165
Preparing for Generational Differences and Adapting to New Technologies

Chapter 9, “Preparing for Generational Differences and Adapting to New Technologies,” broadens out from the specific topics of previous chapters. Instead of simply introducing technological teaching tools, Chapter 9 explores how the tools themselves help teachers apply effective pedagogical principles. It outlines the ways that pedagogy teachers can guide students to think about how technological tools can help them facilitate independent and informal learning, and ways that they can increase motivation through the gamification of learning and by offering more opportunities for social engagement. It also discusses how teachers can adapt to generational learning preferences, which are influenced by currently available technologies.