Reviewerly/exHarmony huggingface dataset:
Introduction to Bayesian statistics

In this workshop, I will provide an introduction to the Bayesian paradigm for data analysis, focusing on both parameter estimation and hypothesis testing. After discussing theoretical aspects of Bayesian inference, I will provide a hands-on tutorial, in which we will consider a traditional t-test from a Bayesian perspective. We will first learn how to estimate Bayes factors using Jasp, an open- source statistical software package targeted at novice users. We will then look at how to perform the same analysis using Jasp’s underlying R package (BayesFactor), and I will show how to implement traditional tests a general linear models using the brms package in R. Finally, I will discuss potential limitations of relying on Bayes factors, and how to overcome these limitations by adopting a principled workflow for building and evaluating probabilistic models in Bayesian inference.Following this workshop will enable participants to interpret and critically read research articles using Bayesian statistics. Furthermore, participants will be introduced to using JASP and R, and they should be able perform their own Bayesian analyses using these programs.
Exploration on the Reform of Teaching Methods Aimingat Research-Based Learning under the Background of "Excellence Program"

&lt;p&gt;The implementation of "excellence plan" promotes our country to become a powerful country in engineering education and promotes higher education to cultivate a large number of high-quality engineering, technical personnel with strong innovation ability and adapt to the needs of economic and social development, however the traditional teaching methods no longer meet the needs of training high-quality engineers. This article will research study and discipline teaching organically fuses in together. Firstly the teachers should improve their academic and teaching ability, and accumulate enterprise engineering practice experience, reform the teaching methods, in order to cause the students to independently discover problems, explore the problem and get conclusion under teacher's guidance, cultivating their engineering practice ability and innovation ability. The exploration of teaching reform has been carried out through the course "Operation and Maintenance of Overhead Transmission Lines", which has achieved good results and will be continuously improved.&lt;/p&gt;
Grad-Cam Guided Progressive Feature CutMix for Classification

Image features from a small local region often give strong evidence in the classification task. However, CNN suffers from paying too much attention only on these local areas, thus ignoring other discriminative regions. This paper deals with this issue by performing the attentive feature cutmix in a progressive manner, among the multi-branch classifier trained on the same task. Specifically, we build the several sequential head branches, with the first global branch fed the original features without any constrains, and other following branches given the attentive cutmix features. The grad-CAM is employed to guide input features of them, so that discriminative region blocks in the current branch are intentionally cut and replaced by those from other images, hence preventing the model from relying on only the small regions and forcing it to gradually focus on large areas. Extensive experiments have been carried out on reID datasets such as the Market1501, DukeMTMC and CUHK03, showing that the proposed algorithm can boost the classification performance significantly.
Exploration of the Application of Mind Mapping Combined with Computer Technology in Computer Teaching

Abstract Objective: To explore how to combine mind mapping with computer technology in computer teaching. Methods: According to the natural division method, 39 students in the first class used the interactive teaching method of mind map, 36 students in the second class used the interactive teaching method of brainstorming to compare the passing rate of the final examination between the two classes. Results: The pass rate of class one was significantly higher than that of class two, especially the pass rate of female students in class one was 52.4% higher than that of class two. Conclusion: Mind mapping is more suitable for computer teaching in colleges and universities. We should combine mind mapping with computer technology to improve teaching quality.
ANALYTICAL STUDY ON EFFICIENT ALGORITHM BASED ON HYBRI CLOUDS

Enterprises are increasingly utilizing hybrid cloud environments to send and run applications. This comprises in giving and overseeing programming and equipment assets inside the endeavor and getting extra assets gave remotely by open clouds at whatever point this is required. Right now, organization of new applications comprises in picking a situation of certain parts in the private cloud and some others in the open cloud. To handle this NP-difficult issue, we have proposed in a past work a surmised approach dependent on correspondence and facilitating costs incited by the sending of parts in the open cloud. Right now, go further and propose another proficient calculation adjusted for administration based applications displayed that can be portrayed as conduct based as well as engineering based organizations of administrations.
Teaching Reform of Applied Technology University Physics Based on Computer Aided System

Abstract Physics application practice is of great significance to the application of Physics and the cultivation of basic scientific research talents. With the continuous improvement of technology value cognition in the basic industry of China, the improvement of manufacturing industry competitiveness and the realization of innovation are inseparable from the participation of physical application technology. However, according to the results of industry research in recent years, the contribution rate of university Physics to society in China is far from expected, and there is still a lot to improve in the teaching of university application technologies and application practice abilities, which should focus on the future teaching. With the continuous exploration of Chinese computer education technology and data-base teaching technology, the teaching methods in colleges and universities have been greatly changed. According to the research, the current rate of online reading habits and communication habits of college students in China is up to about 67.9%. The demands of students’ independent growth and the needs for society comprehensive talents make college Physics undertake more training responsibilities and ability teaching tasks. As an important medium of college teaching, the development and application level of computer-aided system has a certain impact on the teaching effect of college Physics. At present, the CAI system with multimedia courseware as the core couldn’t meet the needs of students’ study. Therefore, it is necessary to design and deal with the CAI System in a more diversified way. Because of its high abstraction, theory and comprehensiveness, the past teaching practice of college Physics is difficult to achieve high results. Therefore, based on the computer aided system, this paper explores the reform direction and feasibility realization mode of applied technology college Physics teaching.
Energy Markets with Blockchain Technology

The ease of access to renewable energy production by users has made possible the emergence of individuals who are self-sufficient and sell their energy to the grid, prosumers. This fact is implying a change in the current paradigm, in which energy can be acquired directly from individuals and not necessarily from the multinationals that monopolise the market. However, so that this change can be carried out, solving the risks that any type of system connected to Internet has, it is possible to make use of the blockchain technology, which it is needed more research to being mass adopted.
A New Encoding Algorithm for a Multidimensional Version of the Montgomery Ladder.

We propose a new encoding algorithm for the simultaneous differential multidimensional scalar point multiplication algorithm d-MUL. Previous encoding algorithms are known to have major drawbacks in their efficient and secure implementation. Some of these drawbacks have been avoided in a recent paper in 2018 at a cost of losing the general functionality of the point multiplication algorithm. In this paper, we address these issues. Our new encoding algorithm takes the binary representations of scalars as input, and constructs a compact binary sequence and a permutation, which explicitly determines a regular sequence of group operations to be performed in d-MUL. Our algorithm simply slides windows of size two over the scalars and it is very efficient. As a result, while preserving the full generality of d-MUL, we successfully eliminate the recursive integer matrix computations in the originally proposed encoding algorithms. We also expect that our new encoding algorithm will make it easier to implement d-MUL in constant time. Our results can be seen as the efficient and full generalization of the one dimensional Montgomery ladder to arbitrary dimension.
Using Modern Technologies for Programme Management

Picking a programme management software tool is probably one of the least important decisions people makes when implementing successful programme management. This comes from several decades of experience. The author presents three cases such as, XYZ company, Jill, and his own experience. XYZ is an extremely large, global smartphone and computer manufacturer. Over the course of a year or so they were looking for a new programme management software tool to support one of their global lines of business. Together the tool makers and the XYZ company uncovered valuable intersections of the tool makers' technology and XYZ's ideal programme management approach. Jill wanted to create a picture of the executives' ideal state for how the company should operate when programme management was taken seriously. She put together Visio drawings and PowerPoint presentations describing the current state, the future state and a detailed plan on how to get from the current state to the future state.
A Framework for Search and Application Agnostic Interactive Optimization

In domains where measures of utility for automatically-designed artefacts (or agents performing subjective tasks) are difficult or impossible to mathematically describe (such as ‘be interesting’), human interactive search algorithms are an attractive alternative. However, despite notable achievements, they are still designed around a specific search method, resulting in a lack of problem generality: applying a new search algorithm requires an excessive amount of redesign such that an altogether new interactive method is formed in the process. This leads to missed opportunities for human interactive methods to utilize the power of state of the art optimization algorithms. Here, we introduce for the first time a framework for human interactive optimization that is agnostic to both the search method and the application problem. Using 13 different search methods on 24 fitness functions commonly found in evolutionary algorithm benchmarks, we show that our approach works on the majority of tested applications: many of the search methods, provided with access to the fitness functions, performed no better than our framework, which employs surrogate human participants who act as less informed and erroneous representations of the fitness function. In this way, our framework for interactive optimization provides a scalable solution by facilitating the integration of numerous types of current state of the art or future search algorithms. Future work will involve generalizing this method to admit multi-objective optimization methods and validation with human participants.
妃子笑 Smile of Yang

妃子笑 (Smile of Yang) a real-time interactive performance for Wacom and Kyma. 妃子笑 (Smile of Yang) is inspired by the Qing Palace Quatrain by Du Mu of the Tang Dynasty and Chinese traditional Cantonese Opera Lychee Ode. One phrase used in the composition is “一骑红尘妃子笑 (Yi Ji Hong Chen Fei Zi Xiao)”. 妃子 refers to Imperial Noble Consort Yang; she is the love of Emperor Tang Xuanzong of the Tang Dynasty. The backstory of this phrase is that Yang loves the lychee of Lingnan, but Lingnan is very far from the Palace, and the lychee is challenging to keep fresh during transportation. The Emperor to let Yang eat the fresh lychee, ordered officers and soldiers to use horses to travel overnight to transport lychee to the palace. Therefore, many horses died in transport. When Yang saw the fresh lychee, she smiled. She did not think of the officers, soldiers, and horses. Because of Yang, Emperor lost the loyalty of officials and the army. Finally, under the pressure of the military, he had to hang Yang. “Yi Ji Hong Chen Fei Zi Xiao” is also the lyrics of the Lychee Ode in Cantonese Opera. Most of the sounds in this composition are human voices: I use Cantonese to say, “Yi Ji Hong Chen Fei Zi Xiao.”
RANCANG BANGUN SISTEM KEAMANAN PINTAR PADA PINTU KAMAR MENGGUNAKAN RFID, PASSWORD DAN ANDROID BERBASIS ARDUINO UNO

The security system is very important for someone who often leaves his/her home or private room that can be used by perpetrators of crimes such as thieves. In this case, a tool is needed to anticipate this crime. Security is needed to protect ourselves and our valuable assets. In this study, a tool was used to secure a room by replacing a conventional door lock with a solenoid which can only be opened if entering passwords, cards or commands from the smartphone is correct. If entering a password or card is incorrect, then the system will lock the door automatically and sound an alarm for the specified time limit. if it is correct to enter a password or card then the system will open the solenoid and the door will open automatically without having to push the door. In addition to providing good safety, it also provides a practicality that is quite good because the door can be opened and locked automatically since we often forget ourselves to lock the door.
Research Guides: Geology: In-Text Citations

For Research Assistance contact Sara Huntington: huntings@evergreen.edu Excerpt from Owl Purdue
AN HYBRID MODEL BASED TECHNIQUE IN LARGE DATA ANALYSIS USED IN PROJECT MANAGEMENT

Estimation of effort is viewed as an essential action under the wide parts of software project management, which is characterized as the way toward arranging and controlling the development of a framework at an ideal cost meeting the correct arrangement of requirements. The software project estimation is considered as the most troublesome and testing task among every one of these highlights. Project estimation includes the estimation of size, exertion, cost, time, and staffing. For any software development project, the size of the item is frequently evaluated at the absolute starting point stage. Taking the contribution of the size of software, the exertion required is distinguished. From exertion estimation, item span and cost are discovered. Software size estimation is a significant component so as to decide the exertion required to develop a software item.
Cotejo de las competencias ciudadanas en estudiantes de Licenciatura en Educación Física

The objective of this article is to compare citizen competencies in undergraduate students in physical education at the Minuto de Dios University Corporation. For this, the questionnaire entitled Pedagogical practices for the development of citizen competencies was applied (Zambrano, 2018), which has five variables to evaluate which are actions (3 items), emotions (9 items), empathy (7 items), environment (7 items) and critical thinking (3 items) with a Cronbach's alpha of 0,73 for the total scale. The incidental sample consisted of 450 first and last semester students. The methodology is quantitative and descriptive in scope. For the study the SPSS software was used, the statistical analysis was performed with descriptive statistics techniques. The findings showed that the variable with the highest values with respect to the arithmetic mean is ambient, with intermediate values are the variables of actions, emotions and empathy and the lower averages with respect to the arithmetic mean were presented in the critical thinking variable. In conclusion, citizen competences are linked to various ways of interpreting and valuing a sense of citizen action in relation to participation in a social constructive sense.
Guides: Keep Learning: Remote Access to Library Research, Services, & Instruction: Instructor Resources

This guide will help you discover library research and instructional support resources that are available when you aren't able to visit the Baylor Libraries.
CAPTURED: Tips help lead to identity, arrest of bold blowtorch-using attempted ATM theft suspect

A man on a motorbike accused of trying to torch his way into an ATM in Yelm in April, causing damage that cost close to $17,000 to fix, has been identified and arrested.
A bee colony optimisation algorithm with a sequential-pattern-mining-based pruning strategy for the travelling salesman problem

The unique foraging behaviour of bees via waggle dance has been computationally realised as an algorithm named bee colony optimisation (BCO) to solve different types of combinatorial optimisation problems such as travelling salesman problem (TSP). In order to enhance the performance of BCO, local optimisation can be integrated. However, local optimisation incurs high processing overhead especially when all solutions are allowed to undergo the local optimisation. This paper proposes a pruning strategy based on the top-k sequential patterns (TKS) mining algorithm. Specifically, TKS is employed to identify the frequent building blocks along the optimisation process. A total of 19 TSP benchmark problem instances ranging from 318 cities to 1,291 cities were used as the test bed. The proposed pruning strategy shows a significant reduction in terms of the computational time to yield TSP solutions with similar tour length as compared with two state-of-the-art approaches.
Research on User Behavior with Collaborative Recommendation Based on Social Network

Abstract With the rise of social networks and the existence of a large number of active users, a large number of data recording daily life are constantly generated. This kind of data has the characteristics of interactivity, real-time and sociality, which implies a lot of valuable information. Therefore, social network data has a very positive role in promoting the construction of smart city. In this paper, users’ annotation information of the item in social network is used. Similarity model is established with appropriate similarity calculation method. Users’ social relationship in social network is used to establish trust relationship and model for users. Personalized recommendation algorithm is improved to dig user behavior data, analyze users’ interests and hobbies. Information of interest or item can be recommended to meet the needs of users to the maximum extent. And the stickiness of users to the website is increased. Based on the widely used recommendation algorithm, this paper analyzes the user behavior with trust-based collaborative recommendation algorithm based on user relationship of social network.
ARTICLE RECOMMENDATION SYSTEM BASED ON USERS INTEREST

Recommendation System is a software program that seeks to client determinations given their communicated inclinations, past behaviour or other information that can be gathered about the client or various clients with similar interests. The purpose of the Article Recommendation System is to reduce the amount of time spent by the user and to present the articles they are most likely unaware of. For each researcher of the same class, the classic article recommendation systems display the same results. This study provides an article recommendation technique which takes into account the work area of the researcher and the publisher's preceding publications. One of the most important developments in this work is the use of the relation of Cosine similarity to make suggestions in the article on previous user posts. As a result of the study, the users have been recommended articles. The first technique uses search terms, given a query or an entire document, to find similar articles.
Stellar Resolution: Multiplicatives

We present a new asynchronous model of computation named Stellar Resolution based on first-order unification. This model of computation is obtained as a formalisation of Girard's transcendental syntax programme, sketched in a series of three articles. As such, it is the first step towards a proper formal treatment of Girard's proposal to tackle first-order logic in a proofs-as-program approach. After establishing formal definitions and basic properties of stellar resolution, we explain how it generalises traditional models of computation, such as logic programming and combinatorial models such as Wang tilings. We then explain how it can represent multiplicative proof-structures, their cut-elimination and the correctness criterion of Danos and Regnier. Further use of realisability techniques lead to dynamic semantics for Multiplicative Linear Logic, following previous Geometry of Interaction models.
Blockchain: the key to a new era of trust in freight leveraged by UIC Member railways – UIC Communications

Blockchain, which groups together developments in cryptography, decentralisation and trust management, has been presented as one of the most disruptive technologies since the previous revolution…
Mutable Information Hiding in Scrambled Image

Starting late with the creating affirmations beginning late, with the making attestation of passed on enrolling, information redistributing has gotten a broadly utilized association. Thus, to guarantee protection and security of dubious information, it is essential to encode the information before redistributing it to the cloud. Because of such necessities, reversible data hiding in encoded image (RDH-EI) has gotten enormous enthusiasm from the experts. Right now, structure for RDHEI is proposed dependent on invertible picture change not under any condition like the standard RDH-EI systems. Right now, of conveying and dealing with the encoded picture in bewildered structure (figure formed picture) which may effectively pull in the idea of interlopers or programming engineers, it enables the client to change over the semantical substance of unprecedented picture into the semantical substance of uninhibitedly picked target picture of a practically identical size.
Transformer Fault Diagnosis Based on RapidMiner and Modified ELM Algorithm

Abstract For transformer fault diagnosis, the three ratio method lacks of encoding, and artificial intelligence methods lack of anti-interference ability.Thus, a new method of transformer fault diagnosis based on RapidMiner and modified particle swarm optimization Extreme Learning Machine (RM-MPSO-ELM) is proposed. Firstly, RapidMiner picks out the most relevant input variables of the transformer fault. then, using the modified particle swarm algorithm to optimize the parameters for Extreme Learning Machine. Finally, using the ELM to identify the potential of transformer fault, the diagnostic performance of IEC three ratio method, support vector machine (SVM) method and different combinations of ELM algorithm are also compared. The results show that the proposed method achieves higher diagnosis precision.