Reviewerly/exHarmony huggingface dataset:
PENGARUH GAMIFICATION VIEWBOARD DALAM PENILAIAN PLUS UNTUK MENGUKUR KINERJA DOSEN BINAAN

With the development of the era, the human needs are also growing, especially the need forinformation, therefore one of the necessary information is to use the Pen + system (AssessmentPlus). However, it can be concluded that all Head of Study Programs to foster guided lecturersin Raharja University need more enthusiasm to input student grades online. For this reason, amethod of gamification system assessment was made with on time in the process of inputtingstudent grades quickly and receiving more effective grades with a total number of classes ofapproximately 201 classes. This study uses 12 (twelve) literature can motivate lecturers with theproblem solving conducted in this study. Development of gamification applications Pen +(Assessment Plus) aims to make lecturers' performance in the study program run effectively andefficiently. Based on the results of research conducted and with the graph of the final resultsshown from the performance of lecturers in inputting the value of the Mid Semester Exam andFinal Semester Examination, the teaching lecturer will strive well to always complete the task ofproviding student grades in a timely manner which is one of the lecturer performance evaluation.Keywords: Pen + (Assessment Plus); Gamification; Viewboard, Head of study program
INFLUENCE OF GEOGRAPHICAL INFORMATION SYSTEMS INTEGRATION IN MONITORING AND EVALUATION ON PERFORMANCE OF COMMUNITY DEVELOPMENT PROJECTS AT WORLD VISION KENYA

This study sought to determine the effect of Geographical Information Systems integration in Monitoring and Evaluation, and how it influences the performance of community development projects at World Vision Kenya. The research design was descriptive, targeting a total population of 183 employees working for World Vision Kenya with a sample size of 125 respondents. Data collection was done by use of online self-administered questionnaires and quantitative data was analysed using descriptive and inferential statistics on Statistical Package for Social Sciences (SPSS). Descriptive analysis incorporated frequencies, percentages, means and standard deviations. Multiple linear regression analysis was used to test the hypothesis and results presented in tables and charts. Results showed that Geographical Information Systems (GIS) progress tracking had a positive correlation and significantly influenced performance of community development projects. GIS data integration had a positive correlation with performance of community development projects and significantly affected the performance of community development projects. GIS information sharing had a positive correlation and significantly influenced performance of community development projects. GIS data sharing positively and significantly influenced performance of community development projects and GIS data management also positively and significantly influenced performance of community development projects. The study aimed at benefiting project managers in tracking progress of community development projects by use of GIS, provide World Vision staff with the skills to monitor project progress and performance trough GIS, help donors in accessing data in online portals powered by GIS, and support national and county governments in strengthening their monitoring and evaluation systems for tracking performance of government infrastructural projects. The study recommended that GIS should be factored in project design with emphasis on GIS in progress tracking to ensure good performance of projects, there was need to decentralize GIS to local level planning and implementation of community and government projects along with the right skill set to harness the power of GIS in project implementation. As well, academic institutions needed to package basic GIS data management skills in all community development/project management courses, to enable learners collect, analyse and interpret GIS data, for proper decision making. Key Words: Geographical Information Systems, Progress Tracking, Data Integration, Data Sharing, Data Management, Community Development Projects CITATION: Atandi, E. N., &amp; Ngugi, L. (2020). Influence of geographical information systems integration in monitoring and evaluation on performance of community development projects at World Vision Kenya. The Strategic Journal of Business &amp; Change Management , 7(3), 651 – 668.
VoteAgain: A scalable coercion-resistant voting system

The strongest threat model for voting systems considers coercion resistance: protection against coercers that force voters to modify their votes, or to abstain. Existing remote voting systems either do not provide this property; require an expensive tallying phase; or burden users with the need to store cryptographic key material and with the responsibility to deceive their coercers. We propose VoteAgain, a scalable voting scheme that relies on the revoting paradigm to provide coercion resistance. VoteAgain uses a novel deterministic ballot padding mechanism to ensure that coercers cannot see whether a vote has been replaced. This mechanism ensures tallies take quasilinear time, making VoteAgain the first revoting scheme that can handle elections with millions of voters. We prove that VoteAgain provides ballot privacy, coercion resistance, and verifiability; and we demonstrate its scalability using a prototype implementation of all cryptographic primitives.
LibGuides: New Technology on the Horizon: Summon Q&A

A look at the technology and electronic resource advances coming to the Xavier University of Louisiana Library.
Language Translation on Intelligent Navigation System using Image Processing

Visitors traveling to different countries around the world often find it hard to understand and communicate in local languages, because they don't understand it. They can't read the words written on the navigational boards or banners at these new locations. Text detection, extraction, and translation system must, therefore, be built to identify and recognize the text found on the navigation boards. This system proposes and implements a three-stage process that involves detection, extraction, and translation using the concepts of Convolutional Neural Network (CNN) and Long Short Term Memory networks or simply “LSTMs”. The framework has been designed to take into account the need to create a desktop application that extracts the text from images based on traffic navigation boards and then translates it further into a user-understandable language. In this way, the user can grasp the unfamiliar language and roam freely in the unfamiliar terrains.
Research on Identity-Based Cryptograph and Its Application in Power IoT

With the development of the power IoT in China, Various kinds of business terminals emerge endlessly. And the low computing power makes it difficult to run PKI authentication measures based on digital certificates, which brings opportunities for attackers and seriously threatens the security of business systems. This paper firstly introduces the security risks of the sensing terminals access to power IoT, secondly researches the user authentication technology, and then designs and implements a lightweight authentication protocol based on appropriate technology, considering that the PKI improves the difficulty of terminal authentication in large-scale IoT and the CPK reduces the security of terminal access authentication, and finally evaluates the advantage of the protocol based on attack testing and application data. The results show that the lightweight authentication protocol has a high reference value for terminal authentication, data transmission security and even the overall security protection of the perception layer in power IoT. And the lightweight authentication protocol can be used for preventing terminal counterfeiting and data leakage.
Snackjack: A Toy Model of Blackjack

Snackjack is a highly simplified version of blackjack that was proposed by Ethier (2010) and given its name by Epstein (2013). The eight-card deck comprises two aces, two deuces, and four treys, with aces having value either 1 or 4, and deuces and treys having values 2 and 3, respectively. The target total is 7 (vs. 21 in blackjack), and ace-trey is a natural. The dealer stands on 6 and 7, including soft totals, and otherwise hits. The player can stand, hit, double, or split, but split pairs receive only one card per paircard (like split aces in blackjack), and there is no insurance. We analyze the game, both single and multiple deck, deriving basic strategy and one-parameter card-counting systems. Unlike in blackjack, these derivations can be done by hand, though it may nevertheless be easier and more reliable to use a computer. More importantly, the simplicity of snackjack allows us to do computations that would be prohibitively time-consuming at blackjack. We can thereby enhance our understanding of blackjack by thoroughly exploring snackjack.
Optimizing Stream Data Classification Using Improved Hoeffding Bound

Classification of online stream data is must for network analysis and providing Quality of Service (QoS). Stream data has properties which requires the algorithm to be incremental and should handle concept drift. Traffic classification is the prominent solution to handle bulk data streams to provide services like packet filtering, routing policies, traffic shaping, limiting traffic, etc. Many stream-based classification algorithms exists in literature to meet the requirements like scanning the data only once, any time analysis and fast response, and limited memory utilization. Further, more accurate, fast, and limited memory supporting algorithms and concepts are required to handle everyday increasing data over Internet. This research work proposes an improvement in accuracy of the classification performed using lesser number of training instances to decide a split during induction of the decision tree (Hoeffding tree). Jensens’s inequality concept is used, and the Hoeffding bound reduces to minimize the bound for the bad events (i.e., it limits the margin of error of the algorithm). Number of examples reduced results in fast execution and decrease the memory used.
DIDACTIC PERSPECTIVE FOR USING TECHNOLOGICAL RESOURCES TO TEACH AND LEARN FRENCH AS A FOREIGN LANGUAGE

Abstract:Introduction: The use of information and communication technologies constitutes a scientific and didactic challenge in the integrated practice lessons of French as a foreign language at Jose Marti Perez” University, in Sancti Spiritus. These lessons are based on a communicative approach as scientific method in order to develop the linguistic abilities. Even though, teachers have some difficulties for their integration because they cannot promote it by using suitable modern strategies according the students’ needs and characteristics.Objective: To evaluate the integration of the linguistic abilities in French as a foreign language by using a system of communicative-integrating activities based on Collaboration, Autonomy, Variety and Artifacts (CAVA Framework).Methods: the survey, the interview and the pedagogical observation.Results: the design of a system of communicative-integrating activities based on the CAVA Framework and the elaboration of procedures and indicators to evaluate it.Conclusion: The didactic articulation of the CAVA Framework with the proposed system of activities constituted a novelty for Cuban higher education to achieve meaningful learning and to favor the integration of the communicative abilities.
LibGuides: Introduction to Academic Writing for Graduate Students: Recommended Databases

Research and library resources for students taking ESL/Wr 107, Wr 109 and SEC 111 at Caltech.
Competent-oriented Learning Approach

The article discusses the tasks of personality-oriented learning, different models of developing learning of a modern school. Technologies for building and implementing a personality-oriented educational process. Modern innovative approaches to learning, forms and means of training are presented.
PERBANDINGAN ALGORITMA PARTICLE SWARM OPTIMIZATION (PSO) DAN ALGORITMA GLOWWORM SWARM OPTIMIZATION (GSO) DALAM PENYELESAIAN SISTEM PERSAMAAN NON LINIER

Non-linear equation system is one of the mathematics problems which difficult to solve. Several methods have been introduced to solve the problems. Newton-Raphson method is the most common and widely used as the basis for evolving the latest numerical methods. However, this method requires the derivative of each equation with respect to every variable when calculating the Jacobian. Naturally, obtaining the derivative is challenging in certain cases. In addition, it needs a proper initial value to obtain the converged solution. Therefore, the new technique with a simple random initial value is urgently needed. In this study, it is shown the implementation of the two metaheuristic optimization methods, including Particle Swarm Optimization (PSO) and the Glowworm Swarm Optimization (GSO) to estimate the solution of a non-linear equation system. Several examples of nonlinear equation system were used for evaluating and testing the performance and the accuracy of both algorithms. In this simulation, the results show that PSO converged to the exact solution (global optimum) better than Glowworm Swarm Optimization (GSO).&#x0D; Keywords: Non-Linear Equation Systems, Particle Swarm Optimization (PSO), Glowworm Swarm Optimization (GSO)
STUDYING THE ROLE OF IT TECHNOLOGIES IN COMMUNICATION BETWEEN HEALTH EMPLOYEES

We decided to explore what is the priority method of communication for the medics we study, laying down the two main and most popular modes of communication in today's society, namely classical direct communication and the increasingly large-scale communication through IT technologies. From the analysis of the answers received, we have found that direct communication is the priority method of communication but electronic methods are on an increasing scale.
An Approach Toward Stateless Chatbots with the Benefit of Tensorflow Over Spacy Pipeline

Conversational bots are assuming control over the business space. Consistently, individuals send in excess of a billion messages to organizations and associations through numerous messaging applications. The most usual method for building chatbots is the state machine approach which usually involves creating distinctive states and dependent on some logic invoking actions. But, with the increase in the number of states, lot of rules are required to be added, with additional logic, and hence create a delicate code which is difficult to keep up and maintain. In this work, we have shown how the stateless approach of building a chatbot using Rasa Core eliminated the need of complex state machine approach, as it makes use of machine learning-based dialog management. Along with this, we trained the model separately with the two pipelines “spacy” and “Tensorflow embedding”. We evaluated the two pipelines with cross-validation and without cross-validation for intent classification. The result showed that, with more training examples, Tensorflow embedding shows good accuracy for intent classification.
A Self-supervised GAN for Unsupervised Few-shot Object Recognition

This paper addresses unsupervised few-shot object recognition, where all training images are unlabeled, and test images are divided into queries and a few labeled support images per object class of interest. The training and test images do not share object classes. We extend the vanilla GAN with two loss functions, both aimed at self-supervised learning. The first is a reconstruction loss that enforces the discriminator to reconstruct the probabilistically sampled latent code which has been used for generating the fake image. The second is a triplet loss that enforces the discriminator to output image encodings that are closer for more similar images. Evaluation, comparisons, and detailed ablation studies are done in the context of few-shot classification. Our approach significantly outperforms the state of the art on the Mini-Imagenet and Tiered-Imagenet datasets.
HUBUNGAN INTENSITAS KEBIASAAN BERMAIN GAME ONLINE TERHADAP HASIL BELAJAR SISWA KELAS V SDN GUGUS V MATARAM TAHUN AJARAN 2019/2020

This study aims to determine whether there is a relationship of intensity of playing online game with learning results of mathematic students 5 in class of primary school group 05sub districk of Mataram. Learning outcomes are focused on Matematika. The method used in this research is descriptive correlational. The population in this study was 199 spread from six school. It used probability simple random sampling with a sample as many as 66 students. The collection of data used questionnaire and documentation methods. The data analysis method used to test hypothesis is product moment correlation. The results of this study showed that there no correlation between the intensity of playing online game with learning results of mathematic  rcount  0,161 while rtable N = 66 at the 10% significance level is 0,2423, so rcount < rtable (0,161 < 0,2423) wich can be interprate Ha was rejected and Ho was accepted. Based explanation above, it can,t be conclude that there are correlation or relation beetwen intensity of playing online game habits with learning results of mathematics students V in class of primary school group V sub districk of Mataram in academic year of 2019/2020.
LibGuides: LibGuide for Prison Librarians : Reference Books

This guide contains reference resources and materials for librarians at correctional facility libraries for their own purposes. It also includes useful materials for the inmate population. Reference books pertaining to the information needs of the incarcerated and correctional facilities
Influence of Pruning Neural Network on Sensitivity Map

Neural networks have high performance in tasks such as image recognition. However, the computational cost is high, and it is difficult to implement them on small devices. In recent years, in order to solve this problem, research on compression techniques of the neural network has been advanced. “Pruning” is known as one of the important approaches for compression techniques. A “sensitivity map” is a map that visualizes which area of the input data the model focused on. However, it has not been analyzed much on how the model structual changes by pruning affects the sensitivity maps. In this paper, we analyze the influence of pruning on the sensitivity maps. As a result, it was found that the region of interest in the background of the sensitivity map was reduced after pruning.
Subject Guides: Protect Your Privacy: A How To Guide: How Do I Make a More Secure Password?

This guide is used to introduce library to tools that can be used to better protect their digital privacy.
Bounds on the $\mathrm{QAC}^0$ Complexity of Approximating Parity

$\mathrm{QAC}$ circuits are quantum circuits with one-qubit gates and Toffoli gates of arbitrary arity. $\mathrm{QAC}^0$ circuits are $\mathrm{QAC}$ circuits of constant depth, and are quantum analogues of $\mathrm{AC}^0$ circuits. We prove the following: $\bullet$ For all $d \ge 7$ and $\varepsilon>0$ there is a depth-$d$ $\mathrm{QAC}$ circuit of size $\exp(\mathrm{poly}(n^{1/d}) \log(n/\varepsilon))$ that approximates the $n$-qubit parity function to within error $\varepsilon$ on worst-case quantum inputs. Previously it was unknown whether $\mathrm{QAC}$ circuits of sublogarithmic depth could approximate parity regardless of size. $\bullet$ We introduce a class of $\mathrm{QAC}$ circuits, including a major component of our circuit from the above upper bound, and prove a tight lower bound on the size of low-depth, mostly classical $\mathrm{QAC}$ circuits that approximate this component. $\bullet$ Arbitrary depth-$d$ $\mathrm{QAC}$ circuits require at least $\Omega(n/d)$ multi-qubit gates to achieve a $1/2 + \exp(-o(n/d))$ approximation of parity. When $d = \Theta(\log n)$ this nearly matches an easy $O(n)$ size upper bound for computing parity exactly. $\bullet$ $\mathrm{QAC}$ circuits with at most two layers of multi-qubit gates cannot achieve a $1/2 + \exp(-o(n))$ approximation of parity, even non-cleanly. Previously it was known only that such circuits could not cleanly compute parity exactly for sufficiently large $n$. The proofs use a new normal form for quantum circuits which may be of independent interest, and are based on reductions to the problem of constructing certain generalizations of the cat state which we name nekomata after an analogous cat y\=okai.
Constraints on Cosmic Opacity from Bayesian Machine Learning: The Hidden Side of The H 0 Tension Problem

Bayesian (Probabilistic) Machine Learning is used to probe the opacity of the Universe. It relies on a generative process where the model is the key object to generate the data involving the unknown parameters of the model, our prior beliefs, and allows us to get the posterior results. The constraints on the cosmic opacity are determined for two flat models, $\Lambda$CDM and XCDM (this having $\omega_{de} \neq -1$), for three redshift ranges, $z\in[0,2.5]$, $z \in[0,5]$, and $z\in[0,10]$, in each case. This is to understand how the constraints on the cosmic opacity could change in the very deep Universe, and also to check to what extent there is a redshift-range dependence. The following forms for the opacity, $\tau(z) = 2\epsilon z$ and $\tau(z) = (1+z)^{2\epsilon} -1$, corresponding to an observer at $z=0$ and a source at $z$, are considered. The results of our analysis show that the Universe is not fully transparent, and this may have a significant impact on the $H_{0}$ tension problem. In the generative process, the fact that, owing to cosmic opacity, the flux received by the observer is reduced has been taken into account. In the analysis, the luminosity distance associated with the cosmological model has been employed.
Demystifying Properties of Fluoroelastomers and Their Current and Potential Future Applications

Fluoropolymers are unique specialty polymers that have superior characteristics such as water & oil repellency and superior resistance to various chemicals and weather, making them both reliable and highly suitable for many critical applications. Among other elastomeric materials, fluoroelastomers have excellent properties. The fluorinated elastomers have an outstanding chemical resistance and heat resistance allowing to be used continuously at extreme temperature conditions for many industrial applications. In this article, the unique chemical and functional structures of fluoroelastomers are demystified. In addition, the current applications and potential prospects of fluoroelastomers are discussed.