Reviewerly/exHarmony huggingface dataset:
Voting Using Blockchain Technology

A growing list of records that are widely known as barriers, linked using the cryptographic hash of previous blocks, is called blockchain. Blockchain technology allows publicly distributed records that capture data completely in a secure and encrypted manner and ensure that transactions cannot be changed. Bitcoin and other crypto-currencies are the most common forms of blockchain behavior. Nowadays, there is a lot of research into blockchain technology being used to find solutions to real-world problems. After Bitcoin, many types of digital currencies were created. For many years, it was unclear that blockchain could only be used to keep track of transactions in the online currency. There has been little awareness of the use of blockchain. One example is relevant to the benefit of blockchain online voting or voting in the country. In this paper, we propose a voting solution made using Ethereum protocol. It uses smart contract structures to enforce strict rules around election votes. These votes both independently and customally validate and manage all the desirable blockchain structures (such as flexibility). This is achieved by maintaining voter confidentiality and voting integrity. The projected plan shows that it is possible for blockchain technology to be part of applications that wish to provide transparency and security to the public.
Vision-based Control Approach for Generalized Planar Parallel Robots

Generalized parallel mechanisms become the refinement research result of the parallel mechanism study to overcome limits such as small rotational performance or low task specificity of traditional parallel mechanisms. Towards an effective control scheme for generalized parallel mechanisms is the key to promoting its future application. This paper is dedicated to visual-based control modelling of planar parallel robots. To overcome the challenge of end-effect pose estimation for the parallel mechanism, the control scheme is able to minimize the error of the end-effect of the mechanism through information obtained from a fixed visual system. The simulation and experiment results show the time efficiency and accuracy of the proposed control scheme that able to stabilize the system in a short time during the motion control.
Virtual academic mobility: opportunities and prospects

The paper presents a conceptual model for finding the right balance in healthimproving physical activity based on the kinesis-energonomic approach.The authors give outline to the pedagogical conditions necessary for introduction of the conceptual model into academic setting, as well as criteria for keeping the right balance in physical activity of a health-improving kind (duration, intensity, rest time and number of repetitions) based on the physiological and biochemical processes in the systems that provide ATP resynthesis in the human body.The results of the practical implementation of the conceptual model enabled the authors to observe at the end of the pedagogical experiment a positive increase in indicators of psychosomatic health, the level of knowledge and interest in health-improving activities among students of the experimental group.According to the article, it indicates the effectiveness of the proposed model for balancing health-improving physical activity.
Teacher digital competence: bringing education to the next level

The digital revolution has transformed the way people access information, communicate and learn. It is teachers' responsibility to set up environments and opportunities for deep learning experiences that can uncover and boost learners’ capacities. Twentyfirst century competences can be seen as necessary to navigate contemporary and future life, shaped by technology that changes workplaces and lifestyles. This study explores the concept of digital competence and provide insight into the European Framework for the Digital Competence of Educators.
WWFD or What Would a Forger Do: A Critical Inquiry of Poorly Argued Contemporary Cases for Forgery

This article discusses the contemporary debates on fakes and forgeries and notes the lack of constrained criteria in the evaluation of suspected manuscripts. Instead of controlled criteria, scholars have opted for an informal and non-explicated method—here labeled WWFD (What Would a Forger Do?)—in which an internally consistent story from the first-person perspective of the alleged forger functions as its own justification. Lacking any kind of qualitative control apart from the low bar of internal coherence, WWFD has the potential to make forgeries out of all non-provenanced literary documents. The use of WWFD in practice is documented in three varieties: unconcealed, concealed, and hyperactive. In each of these instances, WWFD is used as a framing device to construct material details as suspicious with little consideration on the warrant of such framing.
Compensation method for projector calibration based on homography and bundle adjustments

Projector calibration is one of the most essential steps for structured light systems. Some methods have high precision but require a complicated calibration procedure, such as the method based on phase-shifting. Other methods take advantage of simple implementation but cannot meet the accuracy requirement, for example, the method based on homography. In this paper, we proposed a compensation method for flexible and accurate projector calibration. To make the calibration procedure easy to operate, the homographic matrix between the projector and camera is established through feature points projected. Then, the 2D image points compensation method based on the re-projection error iteration algorithm was carried out, and a modified bundle adjustment (BA) algorithm is put forward to refine the calibration parameters of the system. Finally, the feature point reconstruction experiment is implemented to verify the high flexibility and accuracy performance of the proposed method.
Detection of Alphanumeric Characters by Connectionist Temporal Classification with Vanilla Beam Search Algorithm and NLP Using MATLAB and Keras

An offline alphanumeric character recognition system using natural language processing and the Vanilla Beam Search Algorithm is described in the paper. A new method, called, heuristic search algorithm, usually used in database management applications and natural language preprocessing is introduced for extracting the features of the alphanumeric text imprinted on a rough and noisy surface. Fifty epochs, each containing 115 batches written by various people, are used for training the neural network and 650 different handwritten alphabetical and numeric characters are used for testing. The proposed recognition system performs quite well yielding higher levels of recognition accuracy compared to the systems employing the conventional horizontal and vertical methods of feature extraction. This system will be suitable for scanning alphanumeric characters into structural text for various deep learning based applications and recognizing handwritten or printed alphanumeric text using the vanilla beam search algorithm that has been proposed in this research paper.
Fitting Gaussian Mixture Models Using Cooperative Particle Swarm Optimization

Recently, a particle swarm optimization (PSO) algorithm was used to fit a Gaussian mixture model (GMM). However, this algorithm incorporates an additional step in the optimization process which increases the algorithm complexity and scales badly to a large number of components and large datasets. This study proposes a cooperative approach to improve the scalability and complexity of the PSO approach and illustrates its effectiveness compared to the expectation-maximization (EM) algorithm and the existing PSO approach when applied to a number of clustering problems.
A Markov Process Approach to Redundancy in Genetic Algorithms

We propose and investigate two Markov chain models in order to provide recommendations on the selection of genotype redundant encoding schemes in genetic algorithms (GA). It was deduced from these Markov chains why classic encoding methods lead to a insufficiently broad search of GA’s. Then, modifications, concerning additional redundancy in genotype encoding algorithms, are proposed and investigated regarding its influence on mutations and recombinations. Finally, the results of extensive simulation studies are reported that indicate classes of goal functions for which these modifications provide better search results and/or smaller variances of them.
Classification of Words of Wisdom in Indonesian on Twitter Using Naïve Bayes and Multinomial Naive Bayes

Quote is a sentence made with the hope that someone becomes a strong personality, an individual who always improves himself to advance and achieve success. Social media is a place for people to express their hearts to the world which is sometimes a heart expression in the form of quotes. The purpose of this study is to classify Indonesian quotes on Twitter using Naïve Bayes and Multinomial Naïve Bayes. This experiment uses text classification from Twitter data written by Twitter users whether the quotes are then classified again into 6 categories (Love, Life, Motivation, Education, Religion, Others). The language used is Indonesian. The methods used are Naive Bayes and Multinomial Naïve Bayes. Results of this experiment is a classified Indonesian quote collection web application. This classification makes it easy for users to search for quotes based on class or keyword. For example, when a user wants to search for 'motivational' quotes, this classification can be very useful.
Exploiting EEG Signals for Eye Motion Tracking

Human eye tracking devices can help to investigate principles of processing visual information by humans. The attention focus movement during the gaze can be used for behavioural analysis of humans. In this work we describe our experimental system that we designed for synchronous recording of electroencephalographic signals, events of external tests and gaze direction. As external tests we used virtual cognitive tests. We investigated the possibility to exploit electroencephalographic signals for eye motion tracking. Our experimental system is a first step for the designing an automatic eye tracking system and can additionally be used as a laboratory equipment for teaching students.
Diffusions on a space of interval partitions: construction from Bertoin’s ${\tt BES}_{0}(d)$, $d\in (0,1)$

In 1990, Bertoin constructed a measure-valued Markov process in the framework of a Bessel process of dimension between 0 and 1. In the present paper, we represent this process in a space of interval partitions. We show that this is a member of a class of interval partition diffusions introduced recently and independently by Forman, Pal, Rizzolo and Winkel using a completely different construction from spectrally positive stable Lévy processes with index between 1 and 2 and with jumps marked by squared Bessel excursions of a corresponding dimension between $-2$ and 0.
Foreign Aid and Out-of-Pocket Health Expenditure in Sub-Saharan Africa: Does Institutional Development Matter

This paper examines whether and to what extent foreign aid and its interaction with the recipient country's institutional quality reduce out of pocket health expenditure in Sub-Saharan Africa (SSA). We also investigate the validity of fungibility hypothesis in SSA's context by examining the impact of aid on public health expenditure. The study employed the fixed-effects instrumental variables panel regressions using a dataset for 45 SSA countries over the period 1995-2015. We find that aid does not robustly affect out of pocket health expenditure. Neither does the effect of aid depend on institutional quality. This outcome contradicts the previous evidences which have repeatedly emphasised the role of institutional quality as the main factor influencing aid effectiveness. Excluding aid from non-Development Assistance Committee (DAC) donors, we find that aid had no effect on public health expenditure. This finding confirms the absence of fungibility hypothesis in SSA context.
Result-as-a-Service (RaaS): Persistent Helper Functions in a Serverless Offering

Serverless Computing or Functions-as-a-Service (FaaS) is an execution model for cloud computing environments where the cloud provider executes a piece of code (a function) by dynamically allocating resources.When a function has not been executed for a long time or is being executed for the first time, a new container has to be created, and the execution environment has to be initialized resulting in a cold start.Cold start can result in a higher latency.We propose a new computing and execution model for cloud environments called Result-as-a-Service (RaaS), which aims to reduce the computational cost and overhead while achieving high availability.In between successive calls to a function, a persistent function can help in successive calls by precomputing the functions for different possible arguments and then distributing the results when a matching function call is found.
The Association Between Information Security and Reward Processing

Insider threat represents a significant source of violations of information security within corporations and government entities. Therefore, gaining a clearer understanding of the factors that moderate insider threat is important for the information systems community. The current study builds upon previous behavioral research demonstrating that an imbalance between one’s sensitivity to gains and losses may contribute to violations of information security by using event-related brain potentials (ERPs) to examine the association between information security decision-making and the neural correlates of the processing of gains and losses. The ERP data revealed that the amplitude of differences in neural activity between gains and losses was greater in individuals who were more likely to endorse violating information security, and that this association was observed regardless of whether gains or losses resulted from an active choice or were outside of the control of the individual.
Segregation of Live News Articles Based on Location Using Machine Learning

As we all know web contains an enormous amount of data which is gigantic and it is changing continuously for each minute and we also know during this hectic lifestyle it's very difficult to stay track of each news and article that's occurring. So, people are mostly focused on the news which goes into their nearby environment. During this paper, we consider displaying the news directing on the nearby cities and also displaying the required news articles supported by a few important cities. Here, we've a web crawler which is used to withdraw the content from the HTML pages of the articles. Random forest, Naïve Bayes and SVM classifiers are used to compute the precision and their accuracy is being calculated. Machine Learning is the well- known technique used for this type of news classification and displaying of the news articles
FACTORS OF MILITARY STUDENTS’ PSYCHOLOGICAL WELL-BEING

The article considers the factors of military students’ psychological well-being. The examined military students had average levels for all scales of psychological well-being. They can be mainly characterized as independent people, not afraid to express their opinions contrary to the majority opinion, as open to communication and new experience mastering, capable to achieve the desired and overcome life difficulties. The indicators of psychological well-being of male and female military students were almost indistinguishable according to all studied scales, except for “self-acceptance”, “positive relations with others”, and “good relations with loved ones”. In particular, men, compared to women, had higher self-acceptance, which was manifested in a more positive assessment of themselves and their lives. Women had better relationships with their social environment and loved ones, expressing themselves in a more trusting, friendly relationship, openness to communication, compassion and empathy. The performed factor analysis revealed two structural components of the military students’ psychological well-being, namely: purposefulness/ independence (clarity and stability of the intended goal vector, striving for independence and self-dependence, responsibility and ability to make important decisions); approval by the social environment (subjective awareness of life satisfaction because of positive evaluation of existing social contacts and the approval and recognition of one’s image by his/her the social environment). The factors of psychological well-being of male and female military students were determined. In particular, there were for men: autonomy, environmental management, personal growth, purpose in life, short social distance, and subjective psychological well-being. There were for girls: positive relationships, autonomy, self-acceptance, social approval, positive attitude, subjective psychological well-being.
INFORMATION SYSTEM MANAGEMENT OF CHEATING BIRDS IN BNR POTRE KONENG PAMEKASAN

Boy N Rusly (BNR) Pamekasan is a chirping lover community in Pamekasan district. Nowadays, there are many bird enthusiasts in various regions. Bird enthusiasts find it difficult to find information about bird race schedules. Participants find it difficult to get information to register and see the value of the results of the race. Similar to the registration payment that can be done during registration or after the competition, this sometimes causes incompatibility of registration data with the money obtained because there are participants who have not paid the registration fee. Of the various problems experienced by bird enthusiasts and the bird race committee, we need a technology that is globalized so that it can be accessed at any time. One solution to overcome this problem is that an Android-based bird contest application is needed so that it can be used by bird fans and the bird race committee to solve this problem and make it easier for participants to get information, purchase ticket processes and view the results of the competition assessment. Making management information system Twitter birds contest to be easily accessed by websites and smartphones, so for the design and development of mobile and website-based applications. Data collection was carried out by observation, literature study and interviews. Then the data is applied to the website and smartphone application. To implement website and mobile based applications designed with the Java programming language and Codeigneter. System testing uses the waterfall method to test sequentially.
The experience of forming a student's readiness for pedagogical activity in the context of inclusive practice at the stage of study at a university

The article discusses theoretical and applied issues of the student's formation at the stage of training at the university of readiness for the implementation of an inclusive approach in pedagogical activity; experience in the organization and implementation of research work with students: from problem statement to grant implementation. The presented results actualize the need for the student to be included in modern forms of thinking and communication, cooperation and activity through the creation of modeling environments and the implementation of professional "tests" to form a willingness to work with students with disabilities.
F-Measure Optimisation and Label Regularisation for Energy-Based Neural Dialogue State Tracking Models

In recent years many multi-label classification methods have exploited label dependencies to improve performance of classification tasks in various domains, hence casting the tasks to structured prediction problems. We argue that multi-label predictions do not always satisfy domain constraint restrictions. For example when the dialogue state tracking task in task-oriented dialogue domains is solved with multi-label classification approaches, slot-value constraint rules should be enforced following real conversation scenarios.To address these issues we propose an energy-based neural model to solve the dialogue state tracking task as a structured prediction problem. Furthermore we propose two improvements over previous methods with respect to dialogue slot-value constraint rules: (i) redefining the estimation conditions for the energy network; (ii) regularising label predictions following the dialogue slot-value constraint rules. In our results we find that our extended energy-based neural dialogue state tracker yields better overall performance in term of prediction accuracy, and also behaves more naturally with respect to the conversational rules.
Correction to Visualizing the Nano Cocatalyst Aligned Electric Fields on Single Photocatalyst Particles

RETURN TO ISSUEPREVAddition/CorrectionNEXTORIGINAL ARTICLEThis notice is a correctionCorrection to Visualizing the Nano Cocatalyst Aligned Electric Fields on Single Photocatalyst ParticlesJian ZhuJian ZhuMore by Jian Zhu, Shan PangShan PangMore by Shan Pang, Thomas DittrichThomas DittrichMore by Thomas Dittrichhttp://orcid.org/0000-0002-2698-9481, Yuying GaoYuying GaoMore by Yuying Gao, Wei NieWei NieMore by Wei Nie, Junyan CuiJunyan CuiMore by Junyan Cui, Ruotian ChenRuotian ChenMore by Ruotian Chen, Hongyu AnHongyu AnMore by Hongyu An, Fengtao Fan*Fengtao FanMore by Fengtao Fan, and Can LiCan LiMore by Can Lihttp://orcid.org/0000-0002-9301-7850Cite this: Nano Lett. 2020, 20, 11, 8426Publication Date (Web):October 29, 2020Publication History Published online29 October 2020Published inissue 11 November 2020https://doi.org/10.1021/acs.nanolett.0c04194Copyright © 2020 American Chemical SocietyRIGHTS & PERMISSIONSArticle Views842Altmetric-Citations-LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (2 MB) Get e-Alerts Get e-Alerts
IMPLEMENTASI DATA MINING MENGGUNAKAN MULTI REGRESI UNTUK MEMPREDIKSI RERATA KEDATANGAN MASYARAKAT

This research uses multiple linear regression methods. research is useful to predicate the average number of people's arrival. this research uses Microsoft Excel 2010 and Rapid miner applications. The variables used are independent variables, free: stock blangko, operator, and working time. predicted to use sample x1 = 795,x2= 3 people, x3= 7 hours , and y= 296 people. Prediction result is -92.2484452, error value data 0.548 and 0.548 for public arrivals.
DIFFERENTIATED USING BEHAVIORS IN THE LEARNING ENVIRONMENT ACCORDING TO THE SPATIAL CONFORMATION OF LEARNING COMMONS IN UNIVERSITY

1. Objectives