Reviewerly/exHarmony huggingface dataset:
Analysis of Sales Pattern Determination System and Drug Stock Recommendation

The tight competition in the pharmacy industry, requires pharmacy owners to develop strategies in increasing drug sales. One of the strategies carried out is to analyze patterns of drug sales and determine drug stock recommendations based on sales transaction data. Based on this, an application was built to determine the pattern of drug sales and drug stock recommendations by using a modified Apriori Algorithm and Triple Exponential Smoothing Method. Apriori algorithm modification is used to overcome the problem of large amounts of sales transaction data, thus minimizing the time in the database scan process. Triple Exponential Smoothing method is used in determining drug stock recommendations based on sales patterns that have been generated to prevent excess or lack of stock. Application testing techniques used are performance testing, lift ratio and accuracy testing. The research resulted in a sales pattern that has a strong association rule and time analysis using Apriori Algorithm modification that is faster than using a traditional Apriori Algorithm and the percentage error value of drug stock recommendations by 31.84%.&#x0D; Keywords: Sales Pattern, Stock Recommendations, Apriori Algorithm Modification and Triple Exponential Smoothing
AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks

The large capacity of neural networks enables them to learn complex functions. To avoid overfitting, networks however require a lot of training data that can be expensive and time-consuming to collect. A common practical approach to attenuate overfitting is the use of network regularization techniques. We propose a novel regularization method that progressively penalizes the magnitude of activations during training. The combined activation signals produced by all neurons in a given layer form the representation of the input image in that feature space. We propose to regularize this representation in the last feature layer before classification layers. Our method's effect on generalization is analyzed with label randomization tests and cumulative ablations. Experimental results show the advantages of our approach in comparison with commonly-used regularizers on standard benchmark datasets.
Theoretical advances in practical quantum cryptography

Most of themainstream cryptographic protocols that are used today rely on the assumption that the adversary has limited computational power, and that a given set of mathematical problems is hard to solve (on average), i.e. that there is no polynomial time algorithm that solves these problems. While these assumptions are reasonable for now they might not be as relevant for long termsecurity. Indeed, all the communication that happens today can be recorded by an adversary who can later – when the technology allows it – break security. There are good reasons to think that technological progress may lead to break the assumptions made today. For example the rapidly increasing computational power of our computer already allows one to break anything that has been encrypted using DES in the 70s and 80s in few days using regular desktop type devices. There is also the constant improvement of the efficiency of the known algorithms that solve a class of problems. Note that, even though the discovery of a polynomial algorithm for a problem we believe to be hard is still possible, much weaker improvements on current algorithms that solve these hard problems, can already be a threat for security.
Penerapan Model Pembelajaran Kapra (Kaitkan, Alami, Pikirkan, Rundingkan Dan Aplikasikan) Untuk Meningkatkan Prestasi Belajar Peserta Didik Pada Pokok Bahasan Kesetimbangan Ion Dan Ph Larutan Garam Di MAN 1 Pekanbaru

The purpuse of research are to know the improvement of student learning achievement on the subject of equilibrium ion and pH of salt solution in class XI MIA of MAN 1 Pekanbaru. This type of research in an experimental study with a pretest-posttest design. The sampel from the study was students of class XI MIA 1 as experiment class and class XI MIA 3 as control class. The experimental class is the class applied to the KAPRA while the control class is not treated. The data analysis technique used is the t-test. Baased on the results od the data analysis test, tcount>ttable is 4,68>1,67, meaning that the application of learning model KAPRA can improve student learning achievement on the subject of equilibrium ion and pH salt solution in class XI MIA of MAN 1 Pekanbaru.Keyword: KAPRA learning Model, Learning Achievement, Equilibrium Ion and pH Salt Solution
The correlation study between students' motivation and their vocabulary mastery

This research was done to find out the correlation between students’ motivation and their vocabulary mastery. The subjects of this research were 60 students of second year students of SMA Al-Azhar 3 Bandar Lampung in academic year 2018/2019. Motivation questionnaire and vocabulary test were administered as the instruments to measure students’ motivation level and vocabulary mastery. The data were analysed by using Pearson Product Momen t Correlation in SPSS version 16.0. From the test results obtained of this study, the results show that the coefficient correlation between students’ motivation and their vocabulary mastery is 0.690 at the significant level of 0.01. The coefficient correlation is higher than the critical value of r table (0.690>0.325). According to the research that has been done, it can be concluded that there was a correlation between students’ motivation and their vocabulary mastery, and the research question of this research has been answered clearly.  Keywords : correlation, motivation, vocabulary mastery
Towards Fast and Stable GAN via Free Adversarial Training

Author(s): Zhong, Jiachen | Advisor(s): Hsieh, Cho-Jui | Abstract: State-of-the-art Generative Adversarial Network (GAN) often relies on stabilization methods to stabilize the training by constraining the global Lipschitz continuity. However, the global constraint may result in under-fitting and slow convergence. RobGAN proposed a method to control the local Lipschitz value by adversarial training and achieved improved performance and convergence speed. However, the adversarial training procedure in RobGAN leads to significantly increased computational time which makes RobGAN less useful in practice. In this thesis, we propose to improve the training speed of RobGAN by free adversarial training. In addition, we improve the loss function to diminish the natural flaw of using auxiliary classifier in RobGAN. We evaluate our method on three datasets, CIFAR10, CIFAR100, and IMAGENET-143. Compared with previous works, our methods lead to significant improvements in term of both generation quality and training time in all experiments on these datasets. Moreover, we propose a new point to explain why adversarial training on the discriminator can improve the training of GAN.
An Exploration on Recycling Paper Education in Gaming Based For Integrated With Augmented Reality Technology

Paper is the most important thing in our lives and has been promoted in many years to recycle paper but still, the attention is lacking. Most of our daily routine will probably start using paper and end with the use of paper as well. Waste paper will grow more and cause pollution of the environment. Therefore, in this paper have proposed to use a game in educate students about the paper recycling paper method and the importance of recycling paper through Augmented Reality (AR) pop-up book games assisted by AR technology and pop-up book. AR pop-up book game is designed to create interactive and increase awareness among students about the significance of paper recycling. It also determines the needs and problem of the affective recycling of paper in the way it facilitates learning for people. It also emphasizes the importance of recycling paper and the need for this technology and how it represents the different applications of the technology in the future of technology and communication. AR can help the university improvise or learn to attract more students at university level.
On Exploiting Transaction Concurrency To Speed Up Blockchains

Consensus protocols are currently the bottlenecks that prevent blockchain systems from scaling. However, we argue that transaction execution is also important to the performance and security of blockchains. In other words, there are ample opportunities to speed up and further secure blockchains by reducing the cost of transaction execution. Our goal is to understand how much we can speed up blockchains by exploiting transaction concurrency available in blockchain workloads. To this end, we first analyze historical data of seven major public blockchains, namely Bitcoin, Bitcoin Cash, Litecoin, Dogecoin, Ethereum, Ethereum Classic, and Zilliqa. We consider two metrics for concurrency, namely the single-transaction conflict rate per block, and the group conflict rate per block. We find that there is more concurrency in UTXO-based blockchains than in account-based ones, although the amount of concurrency in the former is lower than expected. Another interesting finding is that some blockchains with larger blocks have more concurrency than blockchains with smaller blocks. Next, we propose an analytical model for estimating the transaction execution speed-up given an amount of concurrency. Using results from our empirical analysis, the model estimates that 6x speed-ups in Ethereum can be achieved if all available concurrency is exploited.
LibGuides: Music Research from Home using NYPL resources: About

A guide for doing research in music while the NYPL branches are closed. Access music books through our e-book packages
An Operation Method for Uplink Science Meta Data Transmission Based on Satellite-to-Ground Large-Loop Comparison

The distribution of satellite-to-ground secret key is an important experiment for some Science experiments satellite. To finish the secret key distribution experiment, it is necessary for the satellite and ground to interact and cooperate with each other to complete information exchange for uplink and downlink science meta data transmission for 8 times in 24 h. In view of the strict constraint to ground system, the requirement of high reliability, particularly the new challenge to ground system that uplink science meta data transmission function is required, this paper put forward an operation method for uplink science meta data transmission based on satellite-to-ground large-loop comparison to effectively cooperate with the secret key distribution experiment, designed the information interface between systems and accomplished the scientific experiment task quickly and efficiently by optimizing the experiment flow.
Dongxiang speech synthesis based on statistical parameter method

Dongxiang language is a kind of text-free Chinese dialect. Therefore, it is difficult to employ traditional text-to-speech(TTS) technology to realize a Dongxiang dialect TTS system. The paper realized a Dongxiang dialect speech synthesis using Hidden Markov Model-based statistical parametric (HMM), Deep Neural Network (DNN)-based method and speaker adaptive training method by analyzing the linguistic features and acoustic characteristics of Dongxiang language. The experimental results show that, in the case of a certain corpus, the DNN-based speaker adaptive speech synthesis method can achieve better performance than the other two methods and can synthesize more natural speech.
Fairy tale as a factor in constructing the worldview and moral positions of Man

For a long time, our people have put the center of education on imparting moral values and guidelines to children. Folk pedagogy has developed a unique means for moral education – the storytelling. Our unstable time, when public opinion changes, proves the importance of preserving and passing the moral Code of our people to children. Constructing the future: social relations, self-image, is carried out on the basis of value orientations, namely, these orientations are laid out in a metaphorical form in folk tales. So, a fairy tale, as a carrier of the moral Code of the people, is becoming a curiously relevant educational means of the present. The article emphasizes that for the effective use of such a tool, one must pay attention to the moral and semantic orientations which are placed in the plots of folk tales, and divide them by age peculiarities of understanding information, taking into account the basic determinants of understanding (knowledge, experience, age, situation). It should be noted that the effective method should be used with sufficient care not to harm the child. The development of the classification of fairy tales by social and psychological criteria gives the practitioners such tools that will help create a safe space for the child's development. The article analyses the scientific research regarding the age-appropriate use of fairy tales. According to the results of empirical and theoretical research, the author developed psychological and methodological principles of classification of fairy tales on the basis of social and psychological criteria. The model "Correspondence of the moral and semantic orientations of the fairy tale to social and age periods in human life" is also presented.
Hey @scsu I wanted to share some insights we have had as we build and facilitate trainings to get ready for the 100% move online #edchat #literacies #edtechchat #highered

As our students will return to campus without setting a foot on campus we need to ensure we approach the week with care and compassion
Il biodiritto nel prisma dell’autonomia regionale

Does a space for regional autonomy exist in the field of biolaw? The relationship between state and regions, in the Italian Constitution, is traditionally defined as asymmetric regionalism. The aim of the paper is to investigate the extent of regional autonomy in the field of biolaw. After having reconsidered the fundamental steps of Constitutional Court’s interpretation of matters reserved to the exclusive competence of the state, the essay focuses on regional interventions, both on a legislative and on administrative levels. The results of the research show that, in the field of biolaw, the state holds a wide legislative power, which shall nevertheless be exercised in collaboration with regions. Moreover, the existence of a wide power of regions to organise their healthcare services has a relevant impact on the effectiveness of fundamental rights’ protection in biolaw matters. Finally, the paper tackles the path towards the regional achievement of further differentiation as provided by Art. 116 of the Constitution, which is considered as a concrete opportunity not only for the Regions that are undertaking the agreement with the state to this end, but for the Republic as a whole.
An Effective Kernel Online Learning Algorithm with Sparse Update for Electronic Devices Condition Prediction

Abstract In order to implement condition prediction for electronic devices, a new online learning algorithm for extreme learning machine with kernel (KELM) is proposed. For key nodes selection, a sparse dictionary with predefined size is constructed adaptively by online minimization of its cumulative coherence. Meanwhile, for model coefficients update, an improved decremental learning algorithm is presented by using elementary transformation of Gram matrix and block matrix inversion formula. The performance of proposed algorithm is compared with several well-known online sequential ELM algorithms. The simulation results show that the proposed algorithm has higher prediction accuracy and better stability. Thus it is suited to online condition monitoring of electronic devices.
국방개혁 2.0과 연계한 예비전력 정예화 혁신적 개선방안 고찰

The ROK military is working on the Defense Reform 2.0 to secure national defense and national security amid various changes including the transitional security situation, the demographic cliff, the 4th industrial revolution and improved public consciousness. Reserve forces are a critical factor for securing national defense, as they are the key element of the ability to continue the war, accounting for approximately 73% of the wartime gross requirement.Despite its indispensibility, the ROK Reserve is currently not fully meeting such needs. The national contingency plan and the military operation plan based on availability of the Reserve are in place, but it is doubtful whether physical and human resources can be mobilized in a timely manner when necessary.Against this backdrop, this study proposes innovative actions to improve the Reserve. The first action is to improve the Reserve service postponement system, including improvement of laws and institutions applicable to partial mobilization. Secondly, the Reserve needs to be optimally structured. Thirdly, the mobilization system focusing on specific forces specialized in mobilization needs to be adopted. Fourthly, reserve forces serving in peace time needs to be expanded. Fifthly, we need to dramatically improve the scientific training system for reserve forces.It is expected that the innovative plans to improve the Reserve will provide solutions for challenging issues such as reduction of standing forces and shortening of the service period, efficiently contributing to the defense reform.Above actions to improve the Reserve require the public consensus and support. The military will need to reaffirm that the military is a critical player for national security and to strengthen its efforts to better serve the country.
Development of Yoruba Language Spell Checker Using Interpolation Algorithm

Globally, more and more people are using computers today because the English language is dominating language in this field. The dominance of the English language is quite overwhelming in Nigeria, and the use of computers has so far been greatly restricted only to those people who have some knowledge of the English language. This has resulted in fast way of killing the major indigenous language in the country especially the Yoruba language. Yoruba language is less used among its people because their roles have been taken over by the English language. This prompted the need to develop a text editor that will give Yoruba language a public profile in the information technology (IT) world so as to provide a platform for people to appreciate the beauty of their indigenous language.
Education system of the information age in the discourse of paradigmal forecast

Based on the regularities of the first stage of lifecycle for the social system of industrial education it is predicted the status of initiation for education and perception system around the turn of the anthropocene eon. It is emphasized that the process of the new age education system set- up takes place in self-organizing mode. For this purpose, the following is assessed: 1) the state of the “spirit of the era”, that carries an personalized (information, network, knowledge, digital) society, as an example of a new type of life order for the global community; 2) worldview imperatives of eco-humanistic filling of the educational community of the planet; 3) ideological guidelines for sustainable development; 4) conceptual prerequisites for the formation of a new education type that do not correspond in any way to the transformation of the violent paradigm of education and upbringing of young people of the technocratic age; 5) the state of fundamental science as a reason that, on the basis of mastering a new classification of social labor, should generate a modernization of education content in the 21st century; 6) the content of the involved segment of senseogenesis, which gives rise to a new division of information work in order to qualitatively service new operation forces, leading to the benefits of the development of spiritual production over material. It is prognosed that the new social division of labor will form a qualitatively new nomenclature of workers in domain of national and international education. The problems of the current state of the theory of education and pedagogy are revealed, those does not have time to produce perspectives of national and international educational policies relevant to the needs of the planet’s social organism. The attention of educators focused on the inadequacy of the existing pedagogical and organizational facilities to impact on the formation of creative personality, since they only improve the conservation of the industrial education system. The planetary personality is justified as the ideal of an educated person of the 21st century and the ultimate goal of education and upbringing in the World Knowledge Society. The principle of personalization / individualization is defined as the main parameter of managing the generation of the future education system. Emphasis is placed on the benefits of an open system of education that enhances the degree of individual freedom in a globalized world. Educators and education managers are encouraged to turn to the principles of evolution, which more strongly contribute to the spread of human activity in the school. The attractiveness of the idea of self-education for the modern young generation in the virtual space of the information age is emphasized.
Optimal Fusion of Elliptic Extended Target Estimates based on the Wasserstein Distance

This paper considers the fusion of multiple estimates of a spatially extended object, where the object extent is modeled as an ellipse parameterized by the orientation and semi-axes lengths. For this purpose, we propose a novel systematic approach that employs a distance measure for ellipses, i.e., the Gaussian Wasserstein distance, as a cost function. We derive an explicit approximate expression for the Minimum Mean Gaussian Wasserstein distance (MMGW) estimate. Based on the concept of a MMGW estimator, we develop efficient methods for the fusion of extended target estimates. The proposed fusion methods are evaluated in a simulated experiment and the benefits of the novel methods are discussed.
LibGuides: Remote Course Support from University Libraries: Home

A Guide for University faculty to the library resources from Texas State University Libraries to support remote teaching.
Design and Implementation of Enterprise-Level Network Disk in Power System

Abstract This system is an Enterprise-Level information sharing platform based on browser/server mode (B/S), page frame stand tools in hypertext preprocessor language package. It consists of the user management module, file management module, friend’s management module, information management module and administrator module. The system can provide in LAN users to more quickly and more convenient to share pictures, file upload and download, and make them in the Internet which is not restricted by time and space. Through the implementation of the system, the information exchange between users is promoted, the user’s free access is realized, the operation becomes simpler, the efficiency of information interaction between the employees of the enterprise is improved, and the work efficiency is improved.
Distributed, Collaborative Awareness Model for Maintenance Decision Support.

Maintenance decision errors can result in very costly problems. With the rise of 4th industrial revolution, Intelligent Decision Support Systems are growing quickly. However, a key concern has been ...
Connecting puzzles’ pieces to build an action plan for end user education

In the last few years end user education has become increasingly important in the daily work of biomedical librarians: new technologies, databases, and innovative systems for accessing information have made information retrieval more complicated and challenging for librarians and users alike. The Library of the Istituto Superiore di Sanita (ISS) decided to plan a diversified program of seminars covering different library services to promote an effective use of technologies and library resources. Data were collected during 2018 utilizing a self-developed user satisfaction survey questionnaire formulated in order to identify the real satisfaction level of our users and in order to improve our activities.