Reviewerly/exHarmony huggingface dataset:
Anytime clustering of data streams while handling noise and concept drift

Clustering of data streams has become very popular in recent times, owing to rapid rise of real-time streaming utilities that produce large amounts of data at varying inter-arrival rates. We propose AnyClus, a framework for anytime clustering of data streams. AnyClus uses a proposed variant of R-tree, AnyRTree, to capture the incoming stream objects arriving at variable rate, and to index them in the form of micro-clusters of hierarchical fashion. The leaf-level micro-clusters produced are aggregated and stored in a logarithmic tilted-time window framework (TTWF). Our extensive experimental analysis shows (i) the capability of AnyClus in handling variable stream speeds (upto 250k objects/second); (ii) its ability to produce micro-clusters of high purity (≈1) and compactness; (iii) effectiveness of AnyRTree in handling noise, capturing concept drift and preservation of spatial locality in the indexing of micro-clusters, when compared to the existing methods. We also propose a parallel framework, Any-MP-Clus, for anytime clustering of multiport data streams over commodity clusters. Any-MP-Clus uses AnyRTree at each computing node of the cluster (for each stream-port) and maintains the aggregated micro-clusters in TTWF. The experimental results on datasets of billions scale show that Any-MP-Clus is scalable, eﬃcient and produces clustering of higher quality.
Effect of Relational Coordination on Employee Turnover Intentions through Job Satisfaction: The use of Structural Equation Modeling and Monte Carlo Simulation

Purpose: This study sought to examine the mediating effect of job satisfaction on the relationship between relational coordination and turnover intentions.Methodology: Partial least squares structural equation modeling (PLS-SEM) was used to analyze data from a cross-sectional survey of 262 employees from banking sector. The capacity of this study’s theoretical model was demonstrated in a Monte Carlo simulation that created a simulated data set where the underlying true effects were established.Results: The findings of this study suggest that relational coordination negatively affects turnover intentions, and job satisfaction mediates this relationship. The simulation results indicate fluctuation in path coefficients for different correlations and sample sizes. The values of path coefficients smooth out for all levels of correlations, as sample size increases.Limitations: This research used cross-sectional design which limits its ability to determine the true causal relationships. The external viability of results may be limited due to the sample selection from banking sector. Although the empirical results support our theoretical model, other descriptions of these results need to be tested.Practical implications: Managers can reduce employees’ turnover intentions by promoting relational coordination among their employees.Social implications: Reduced turnover intentions may result in reduced actual turnover, which provides stability to organizations and to the lives of individual employees. It may reduce social discontent and instability.Originality/value: No prior research has empirically tested the relationship between relational coordination and turnover intentions. Moreover, this research is first to test mediation between above mentioned relationship. It also provides a greater generalizability of theoretical model by using Monte Carlo simulation.
PELATIHAN COOPERATIVE LEARNING DI SMP ISLAM AZ-ZAHRAH 1, PALEMBANG

This community service activity was done at SMP Islam Az-Zahra 1, Palembang that had the aim of empowering this school teachers to teach their students in more stress-free atmosphere while introducing tourism destinations in Palembang. The teaching materials was focused in communicating Palembang Tourism Destinations in English. Community Service Team of English Department of Sriwijaya State Polytechnic provided English supporting learning material, teaching aids, and training to the teachers of SMP Islam As-Zahra 1, Palembang. Supporting Material was written to enhance the teaching materials provided by school. Furthermore, this supporting teaching material gave an idea of making use of the environment to make students absorbing both English comprehensible inputs and Palembang local cultural prosperity. Teaching aids facilitated students’ enjoyment during learning process. The training to this school teachers was done to introduce how doing learning and teaching process in comfortable friendly atmosphere.
Prediksi Tingkat Kepuasan dalam Pembelajaran Daring Menggunakan Algoritma Naïve Bayes

The growth of learning at this time is influenced by advances in data and communication technology. One of the data technologies that functioned in the world of learning during the COVID-19 pandemic was online education. Online education is used as a liaison between lecturers and students in an internet network that can be accessed at any time. The online media used are Whatsapp, Google Classroom, Google Meet, Cloud x and the Zoom application. This research aims to predict the level of student satisfaction in online education as well as to distribute donations to large academies in making policies related to improving the quality of education online. The information used was obtained by distributing questionnaires to 110 students of the 2020/2021 class. The parameters in the questionnaire are lecturer communication, online education atmosphere, student evaluation, module delivery. Naïve Bayes is a prediction method for finding simple probabilities based on the Bayes theorem with a strong assumption of independence. Rapid Miner is one of the tools used for testing information and viewing the results of accuracy based on revolutionary information. The results of testing using 80 training information and 30 testing information display an accuracy of 100%. There were 3 respondents who reported dissatisfaction and 27 respondents reported being satisfied with online education. On the dissatisfied prediction, the precision class has a value of 100%, on the other hand, the prediction of being satisfied is 100%, and the class recall of true, not satisfied, has a value of 100%, whereas the class recall of true is satisfied to have 100%.
Design and Development of Fun Lean Augmented and Virtual Reality Prototypes for Hand and Upper Limb Rehabilitation

Lack of motivation to carry out rehabilitation exercise from a hand injury or stroke is one of the most challenging aspects faced by Occupational Therapy (OT) and Certified Occupational Therapy Assistants (COTA). Some patients refuse to exercise due to behavioral, psychological, or cognitive reasons. We hypothesize that recovery to their former activity level and strength can be quickened if we develop Augmented Reality (AR)/Virtual Reality (VR) games which add fun into rehabilitative hand exercises. A physical card game for hand rehabilitation, which contains puzzle pieces and rehabilitative exercise instructions, is designed and developed to trigger the display of an Augmented Reality virtual reward upon completion of the puzzle. User testing results are promising. Users find it easy to use, supportive, efficient, exciting and interesting; suitable for either individual or collaborative play. Being object-oriented, it is also scalable, extensible and easily portable. An extended Leap-Motion-enhanced AR environment for limb rehabilitation is being developed. We hope that both will improve physical, mental and socio-cognitive health.
Desaın Character Concept Dengan Menggunakan Bıtmap Graphıc: Case Study Mobıle Legends Bang-Bang

Character art is now commonly found in social media and in our lives. In general, character art is found in entertainment media in the form of video games, and there is also in movies, comics, k-pop fans, and many more. Most character art is created using bitmap graphics using the Adobe Photoshop application. This study uses a qualitative method, by observing the use of bitmap graphics in the character art of a video game with the aim of studying the making of the character art. It can be concluded from this research that the use of bitmap graphics in making character art and other art concepts is still very much needed to produce good art.
Development of economic culture of students in non-non-economic specialists

This article focuses on the specifics of the development of economic culture of future teachers, ie students in non-economic specialties, with a model for the formation of economic culture of future teachers, classifications of economic culture development in pedagogical education in higher education. It is explained that motivating students in non-economist specialties, future professionals to work on themselves, to prepare business projects is an important factor in shaping the economic culture.
Efficient Management of Web Personalization Through Entropy and Similarity Analysis

The Internet platform has been gaining increased popularity since the internet platform is a storehouse of knowledge that is extremely immense and varied. The size of the internet increases every day and more and more content is being added to the platform, which makes it difficult to access the information that is required. Therefore, various search engines are developed that enable searching for relevant webpages according to the query provided. The search results are mostly generalized and the results are fetched every single time the query is fired, which increases the load on the search engine which is not personalized according to the user. There is an immense need to personalize the web platform as it is beneficial to the provider as well as the user in achieving a streamlined approach that can be set according to the user's preferences and needs. Therefore, to improve this situation and provide a definitive solution to the web personalization problem, this publication utilizes the Entropy Estimation and Cosine Similarity to automatically personalize the content for the query passed enhancing the personal user experience significantly.
Piloting the Exchange of Insider Threat Reports: Information Sharing Challenges to Proactive Cyber Fraud Identification

Research published by the SWIFT Institute in August 2017, titled “Sharing Insider Threat Indicators: Examining the Potential Use of SWIFT’s Messaging Platform to Combat Cyber Fraud” proposed a protocol for sharing insider threat activities between financial institutions. Building from the assumption that cyber criminals work off a shared services model to give them access to infrastructure, tools, targets and options for monetizing their exploits, the research asserted the strengthening of communication channels for defenders to share real time threat information is essential to pre-empting cyber fraud. A pilot to test this information sharing protocol through the development of an Insider Threat Report (ITR) message type was initiated in late September 2017. The pilot ran for 12 months during which time participants from financial and investment services firms worked together to validate a set of insider threat indicators based on actual use cases from internal investigations and customized the ITR fields for transmitting the information over the SWIFT messaging platform. The pilot concluded with a number of findings on key challenges to this level of information sharing that, until resolved, will prevent member organizations from formalizing their engagement on this effort.
Telemedicine in long-term elderly care facilities as "social accountability" in the context of Covid-19/ Telemedicina nas instituições de longa permanência para idosos como social accountability no contexto da Covid-19

Abstract: Introduction: The World Health Organization defined the compulsory need to redirect all educational, research and public health service activities of medical schools to meet all priority health needs, attributing to them this social responsibility role. Due to the emergency situation in the public health system caused by the COVID-19 pandemic, as a measure of social accountability, remote medical care services and online education were adopted in order to continue following the curricular program and to provide assistance to local city governments. Experience report: Two months before graduation, medical students followed-up on the monitoring of residents and COVID-19 healthcare professionals of forty-three ILPIs (Long-Term Elderly Care Facilities) in the city of Sao Jose do Rio Preto, state of Sao Paulo, Brazil. The medical students made daily telephone calls to all these ILPI units, requesting information, generally from the head nurses and owners, about the main COVID-19 symptoms that were detected in the residents and employees of these facilities. All the collected information was discussed daily with the teacher in charge of mentoring the program, fed into an online database and into a work schedule chart, then relayed to the local Municipal Health Secretariat. A COVID-19 contingency plan was devised by the team, authorized by the Local Health Secretariat and then presented to the ILPIs, aiming to offer them the best guidance throughout the pandemic. Discussion: the COVID-19 pandemic revealed the Health Education System's fragilities, limitations and capacity to adapt to this crisis, thus largely contributing to improving the training of new medical doctors. During the program, medical students faced many challenges, especially regarding the difficulty to contact some ILPIs by telephone, omitted or erroneous information provided by employees in these facilities and delays in reporting suspected cases. In spite of this scenario, daily contact with these facilities allowed the team to identify the ILPIs that were more adequately prepared and the ones that needed auditing and further supervision. Also, this daily contact established a bond between the team and the ILPIs. Conclusion: During the pandemic, it was possible to perform actions according to the logic of social accountability, demonstrating that remote online medical practice is a tool capable of both maintaining interns in contact with the practical aspects of medical care and providing medical assistance to the community and to the local government.
t-EVA: Time-Efficient t-SNE Video Annotation

Video understanding has received more attention in the past few years due to the availability of several large-scale video datasets. However, annotating large-scale video datasets are cost-intensive. In this work, we propose a time-efficient video annotation method using spatio-temporal feature similarity and t-SNE dimensionality reduction to speed up the annotation process massively. Placing the same actions from different videos near each other in the two-dimensional space based on feature similarity helps the annotator to group-label video clips. We evaluate our method on two subsets of the ActivityNet (v1.3) and a subset of the Sports-1M dataset. We show that t-EVA (https://github.com/spoorgholi74/t-EVA) can outperform other video annotation tools while maintaining test accuracy on video classification.
Simulation and Image in the Digitalized World

The world of image is transforming dramatically with the development of simulation technology. Simulation was considered a synonym for imitation of objects or phenomena for long, and this idea continued into the modern industrial period, where imitation could be quickly and accurately replicated by machine power. However, as we enter the digital age, images are moving to a new phase. This paper seeks to (1) trace the genealogy of simulation from analog to digital stage. (2) detect its unique capabilities, (3) overview the general traits and sociocultural effects of digital imitation, (4) investigate the effect of digital simulation upon the deep mental sphere of an individual and (5) discuss the displacement of image in the digital era. The imitation of the digital age is not just reproducing imitation, but transforming our lives into a state of excitement and vitality by exerting the effect of “absent presentation” that gives rise to a virtual world looking more realistic than our real world. Owing to the change, there are signs that the reality principle, the leading behavioral principle of the modern industrial society, will be replaced by the fantasy principle in the desire system deeply located in our spiritual world. As a result, it is likely that the image will lead (1) to an invisible form losing visibility, (2) to an amorphous state not holding a uniform framework, (3) to an illusion that does not guarantee substance, and (4) to the state of nought where nothing can be identifiable whatsoever. such displacement of Image in the digital era, that eradicates the inherent attributes of the image of visuality, figuration, reality, and presence, may be a sign of image suicide, saying, “This is no longer an image.” This catastrophic situation can be recovered only by an audacious effort to recreate images with the power of “disruptive imagination,” the combination of the contradictory but complemental powers to deform and reform conventional images.
Sistem Mutasi Guru SMK di Kota Manado Menggunakan Metode Fuzzy Simple Additive Weighting (F-SAW)

Inter-school teacher exchange has a significant role in achieving good and equitable quality of education. This has become the focus of North Sulawesi’s regional education office, particularly in the city of Manado at the level of the vocational high School (SMK). Inter-school teacher exchange, which still works on the basis of Microsoft Excel manually, is an obstacle to transparent and objective decision-making. Decision Support Systems (DSS) can be a solution to these problems. In this study, the Fuzzy Simple Additive Weighing (F-SAW) method was used for a web-based DDS. This test is carried out on five sample data through calculations using Ms. Excel and the DSS system with the acquisition of decision values of 0.91 and 0.93, respectively.
The Methods of plot( )

For a function like plot(), a method of the function is the version of the function that applies to a specific class of objects – such as the class of numeric vectors or the class of time series objects. In this chapter, we cover those methods of plot() in the graphics and stats packages – other than plot.default(). (The function plot.default() is the subject of Chapter 3.) There are eight methods for plot() in the graphics package, and, in the stats package, there are twenty.
A forward internal calculus for model generation in <i>S</i>4

Abstract We propose an internal calculus to check the satisfiability of a set of formulas in ${\boldsymbol {S4}}$. Our calculus directly supports model extraction and is designed so to implement a forward proof-search strategy that can be understood as a top-down construction of a model. We prove that the extracted models have minimal height.
Lineament analysis of the dem in auminzatau mountains using the less a program

Lineament analysis is one of the main methods for automated decoding of satellite images. In this work, the lineament analysis was performed using the LESSA program. As a result, statistical data on lineaments were obtained, such as roses, elongation lines, lineaments density, and a map of lineaments of the Auminzatau mountains was compiled. This map allows a detailed study of faults in this region associated with the mineralization zone.
A Study of the Cultural Characteristics of Chinese College Students Using Cyber Language

With the development of internet and the increase of internet users, cyber language develops rapidly. Cyber language as a kind of social dialects, which application and development can reflect cultural characteristics of the netizens. College students as young netizens are one of main creators and users of cyber language. Through the investigation of cyber language using among college students, the cultural characteristics of this group can be explored.
Modelling analysis of energy conservation and emission reduction benefits of landscape environment based on AHP

In order to overcome the problem of low accuracy of traditional modelling methods of environmental energy conservation and emission reduction benefits, this paper proposes a modelling analysis of landscape environmental energy conservation and emission reduction benefits based on AHP weighting method. Through the analytic hierarchy process to obtain the index weight, quantitative treatment of energy conservation and emission reduction benefit index and weight, obtain the combined weight, using the big data fusion cluster analysis method, extract the statistical average value of benefit measurement information, get the scale characteristics of emission reduction benefit so as to achieve the modelling analysis of landscape environment energy conservation and emission reduction benefit. The experimental results show that the benefit index is 0.754, which is closer to the expected index 0.757, and the change curve of emission reduction performance index is the closest to that of the mean value.
The Geometry, Statistic, Annotation, and borders( ) Functions

The geometry, statistic, annotate, and border functions create the contents of a plot. The functions open new layers on the figure and plot new information. The geometry functions, which all begin with geom_, create most of the many types of plots that can be created with the ggplot2 package. The statistic functions, which all begin with stat_, both create and add to plots. The functions statistically reduce the data before plotting. The annotation functions, which are the function annotate() or start with annotation_, provide a simple way to annotate plots created with ggplot(). The border() function adds a border to a correctly formatted map object.
Research Guides: LabArchives: Home

LabArchives is an innovative cloud-based ELN (electronic lab notebook) to enable researchers to store, organize, and publish their research data.
Perancangan dan Pengembangan Video Dokumenter Almanac Chinese Dengan Menggunakan Motion Graphic

The Chinese almanac is a traditional asset that has been passed down from China time to time. The contents of the Chinese almanac also cover a broad range of natural phenomena that humans could benefit from in everyday life. However, there aren’t a lot of people who understand the meaning behind of using Chinese almanacs. Even the usage of Chinese almanacs was also rarely seen in Chinese nowadays, especially in modern times. With this research of creating a documentary video of Chinese Almanac using motion graphics, this video can provide more information and educate the audience about Chinese Almanac. Using the method of MDLC as well as motion graphics in documentary videos, information can be conveyed creatively and attractively for public viewing. The finished results of this research are so that the people can appreciate and get a closer look about the culture of Chinese Almanac.
Designing Computer Network Subnetting with School Objects Using Cisco Packet Tracer 6.1

The internet is one part that can not be released in human life today. Every year internet users both in Indonesia and in the world have increased. This increase in internet users causes the availability of IP to decrease. That is because users who will use the internet must have an IP. The availability of IPv4 is currently decreasing. To overcome these problems, IPv6 was made which was announced to replace the existence of IPv4. But another solution that can be taken is using subnetting. With subnetting, IP can be used optimally according to the needs of the host or can make efficient use of IP. And subnetting also functions to avoid congestion resulting from too many hosts on the physical network. And to connect between subnets, routing will be done.