Reviewerly/exHarmony huggingface dataset:
XtracTree for Regulator Validation of Bagging Methods Used in Retail Banking.

Bootstrap aggregation, known as bagging, is one of the most popular ensemble methods used in machine learning (ML). An ensemble method is a supervised ML method that combines multiple hypotheses to form a single hypothesis used for prediction. A bagging algorithm combines multiple classifiers modelled on different sub-samples of the same data set to build one large classifier. Large retail banks are nowadays using the power of ML algorithms, including decision trees and random forests, to optimize the retail banking activities. However, AI bank researchers face a strong challenge from their own model validation department as well as from national financial regulators. Each proposed ML model has to be validated and clear rules for every algorithm-based decision have to be established. In this context, we propose XtracTree, an algorithm that is capable of effectively converting an ML bagging classifier, such as a decision tree or a random forest, into simple if-then rules satisfying the requirements of model validation. Our algorithm is also capable of highlighting the decision path for each individual sample or a group of samples, addressing any concern from the regulators regarding ML black-box. We use a public loan data set from Kaggle to illustrate the usefulness of our approach. Our experiments indicate that, using XtracTree, we are able to ensure a better understanding for our model, leading to an easier model validation by national financial regulators and the internal model validation department.
Neural networks in optical domain

Objects classification is one of the applications which most efficaciously have been improved by deep learning, in the same way as other innumerable functions deeply pervading the modern society. In the present work we implement a deep learning framework with diffractive layers that collectively perform digit recognition. Neural networks constitute the computing system performing deep learning, which differs from any application of artificial intelligence – enabling machines to automatically learn from experience without being explicitly programmed – in that it creates the representations essential for classification organizing them into multiple levels. Our neural network is inspired by a framework recently introduced in the literature, termed as Diffractive Deep Neural Network (D2NN). It is physically formed by multiple layers of diffractive surfaces that collaboratively perform optical diffraction when an input image is exposed to electromagnetic radiation. During the training phase implemented on a computer through deep learning’s methods, trainable parameters represented by the diffractive layers’ transmission coefficients are properly adjusted. Once completed the numerical stage, the design of the framework is established: the obtained transmission coefficients provide in fact information about the thickness of the diffractive layers that, if 3D-printed and settled in their well-suited laboratory setup, would give rise to a powerful device performing digit classification at the speed of light. Optical machine learning’s earlier works concerned realizations of programmable devices performing typical machine learning applications and equipped with optical components, which satisfy sought-after requirements like speed and power efficiency. In this line of work, our framework represents a pioneering innovation since, once physically fabricated, it may execute the specific task for which it is trained, exploiting no power but the effectiveness of optical diffraction through passive optical layers.
Finding case through personal names in parallel texts

The aim of this study is to evaluate whether the ‘richness’ of the marking on personal names is an adequate indirect measure of a language’s case usage. The method uses parallel texts to identify, ...
PEMBERIAN HADIAH DAN HUKUMAN UNTUK MENINGKATKAN  HASIL BELAJAR PKn KELAS VI SDN 020 LANGSAT HULU  KECAMATAN BENAI KABUPATEN KUANTAN SINGINGI

Research on giving rewards and punishment to improve learning outcomes c ivics Class VI S DN 020 Langsat Hulu Subdistrict o f Kuantan Singingi Regency is aimed to improve learning outcomes of c ivics students grade VI SDN 020 Langsat Hulu with gift and punishment in the learning process. The study was conducted on 30 students consisting of 13 male students and 17 female students. Data obtained through teacher observation sheet, student activity (punishment and reward) with observer grade teacher of SDN 020 Langsat Hulu. The test results are given at the end of the lesson by using formative tests then the data is analyzed with descriptive statistics. The results showed that the results of learning c ivics grade VI students have increased. This result can be seen based on the value of learning outcomes that initially average tilapia 62 after being given gift gift modaling and punishment to 71, as well as student activity that has increased from treatment I to treatment II. This shows that the method of learning with reward and punishment can improve the learning outcomes of c ivics students of class VI SDN 020.
Metadata 2020 Workathon Proceedings - Sept 2019

Metadata 2020 have been thinking about how to spend the time during 2020 to ensure that our efforts result in the greatest impact possible. In reviewing our midpoint outputs, we recognized that a key piece that often is missing in the Scholarly Communications Metadata discussion is the change management activities necessary to ensure sustained action toward richer metadata. We feel that effective work here is essential to spur investment and evolved and widespread improved perspectives for metadata. On September 18-19, 2019, we held a Workathon workshop with key contributors to Metadata 2020 to discuss strategies and tactics for catalyzing this action. This paper provides the results of these discussion
SECOND LANGUAGE STUDENTS ACQUISITION MI GRADE III AND VI AT THE LEVEL SYNTAX

This study aims to describe the language acquisition of elementary / MI grade III and VI students at the syntactic level which includes focus, complexity, and sentence patterns based on categories/classes of words filling in the S-P function. This research uses a descriptive design with a qualitative approach. The results of this study indicate the following. In the aspect of sentence focus, the writing of the second subject has 3 diversity of focus sentences, while subject 1 is only 2. In the aspect of complexity, the writing of the second subject has a greater variety of compound sentences than the first subject, and vice versa for simple sentences. In the aspect of sentence patterns, the writing of the second subject has more diversity than the first subject. acquisition, second language, elementary school students, syntactic level
Multivariate analysis of the parameters in a handwritten digit recognition LSTM system

Throughout this project, we perform a multivariate analysis of the parameters of a long short-term memory (LSTM) system for handwritten digit recognition in order to understand the model’s behaviou ...
MAKING THE JOY OF LEARNING ALIVE IN THE LEARNING OF MALAY LANGUAGE USING THE LEGENDA SINGAPURA APPS

Injecting the Joy of Learning in the daily teaching and learning has been the most crucial taske for a teacher to ensure the teaching and learning of Malay Language stays relevant to the pupils in Singapore. The Malay Language curriculum have include the stories from the Legends of Singapore to safeguard tradisional Malay literature that is rich in moral values. To ensure pupils are able to appreciate the literature in a fun way. Malay Language Centre of Singapore took the initiatives to produce The Legend of Singapore Apps to support reading activities. In this apps, there are 6 legends equipped comprehension exercises, selected proverbs, Malay quatrains, language games and an apps with recording functions. Pupils are able to practice reading and able to correct their readings on their own with the helps of narrator. This research involves 400 pupils and 20 teachers from 5 primary schools. A few sessions of co-teaching with the Master Teachers were conducted to study on the efficacy of the apps. Study shows 94% of pupils enjoy reading the stories using the apps and 87% of the pupils believed their reading qualities can be improved. This show the apps created by MLCS are able to value add on the teaching and learning in the classroom.
Subject & Study Guides: Remote Support from the Library: Electronic articles from journals, magazines and newspapers

Here are the ways that Unitec Library can support you with your studies when you're unable to come onto campus
The effect of Havruta discussion activities on critical thinking dispositions and problem solving abilities of child care teacher

본 연구는 하브루타 토론 활동이 보육교사의 비판적 사고 성향과 문제해결력을 향상하는데 효과가 있는지 알아보는데 목적이 있다. 이를 위해 교육대학원에서 유아교육을 전공하는 보육교사 51명을 실험집단과 통제집단으로 구분하고, 실험집단에 하브루타 토론 활동을 주 1회 10주간 실시하였다. 실험 전과 후에 실험집단과 통제집단에 비판적 사고 성향과 문제해결력 검사를 실시하여 비교한 결과, 실험집단에서 비판적 사고 성향과 문제해결력 수준이 유의미하게 향상되었다. 이는 하브루타 토론 활동이 보육교사의 비판적 사고 성향과 문제해결력 향상에 긍정적인 효과가 있음을 시사하며, 보육교사의 전문성 증진을 위한 방안으로 활용 가치가 있음을 보여준다.The purpose of this study is to examine whether the Havruta discussion activity affects improving the critical thinking dispositions and the problem-solving abilities of child care teachers. To this end, 51 child care teachers, majoring in early childhood education at a Graduate School of Education, were divided into the experimental and control groups. The experimental group participated in Havruta discussions once a week for 10 weeks. As a result of comparing critical thinking dispositions and problem-solving ability tests before and after the experiment, critical thinking dispositions and problem-solving ability were significantly improved in the experimental group. The result suggested that the Havruta discussion activity has a positive effect on improving the critical thinking dispositions and problem-solving abilitiy of child care teachers and that it is valuable in enhancing the professionalism of child care teachers.
PROFESI TEKNOLOGI INFORMASI DALAM INDUSTRI E-COMMERCE DI INDONESIA

The electronic media discussed in this paper have only been temporarily focused on the use of internet media and the current profession. Because the use of the internet is currently the most popular used by many people, in addition to being things that can be categorized as things that are 'booming'. It should be underlined, with future technological developments; it is possible to use other network media besides the internet in e-commerce. So our thoughts should not only be fixed on the use of internet media. Community service this time is to provide training/debriefing for students aged 13-17 years in the Hope Youth Orphanage environment is expected to understand and utilize existing e-commerce technology to increase knowledge to students from an early age. Especially giving alternative choices to students in the orphanage, will later gain insight about the profession in the field of information technology, especially e-commerce.&#x0D; Keywords: E-commerce, Information Technology, Profession, Internet Media
A Study on a Blockchain Based Community Goverance System Model and Its Chracteristics

Community governance is a comprehensive system to coordinate and integrate all the elements of a community like interest holders, public community issues, the policies, the relations, and institutions etc. With the successful progress of underlying technology like blockchain technology in the financial field, more and more fields of human society could be benefit from the maturity of technology. This paper examined how this technology could influence the community governance system by establish a blockchain-based community governance model. And the community governance could be rebuilt in operational layer and by its innovative philosophy
LibGuides: Federal Register Library: Browsing

The Federal Register is the official journal of the federal government of the United States. The database is updated daily and its coverage is comprehensive, beginning from inception in 1936. Search Tips
Design of Platform to Support Workflow Continuity in Multi-Device Applications

In last decades, the internet has become an indispensable tool for the realization and continuity of an activity at a different time, place and technological context (eg. mobile, pc, tablet), so that interaction techniques through the use of multidevice support has become of great interest. From this perspective, continuity in interactions is an important concept in the face of changes in context environments where an interaction develops. There are works related to the continuity and support of multidevice environments that show that the implementation through software platforms is effective to improve continuity support, however, reducing steps to resume an activity on a different device is an aspect that need to be studied in greater detail. In support of the above, this paper presents an exploratory study that shows evidence that continuity is a useful feature for users, however, there are still aspects that need to be studied. Therefore, in this paper we propose a platform proposal for the implementation of continuity in workflow that reduces the steps necessary to continue and resume an activity in a different device context.
Impact of Video Compression on the Performance of Object Detection Algorithms in Automotive Applications

The aim of this study is to generally expose the impact of using video compression methods on the performance accuracy of a neural network-based pedestrian detection system. Moreover, the emphasis ...
DIAGNOSTIC ACCURACY OF FINE NEEDLE ASPIRATION CYTOLOGY IN SALIVARY GLAND MASSES

09Mar 2020 Diagnostic Accuracy Of Fine Needle Aspiration Cytology In Salivary Gland masses Farzana Manzoor , Bilal Ahmad Sheikh , Ruby Reshi , Arshi Beg , Saymah Rashid and Bilques Khurshid Senior Resident, Department of Pathology, Govt. Medical College, Srinagar. Professor, Department of Pathology, Govt. Medical College, Srinagar. Professor and Head, Department of Pathology, Govt. Medical College, Srinagar. Senior Resident, Department of Pathology, Tata Memorial Hospital, Srinagar. Postgraduate, Department of Pathology, Govt. Medical College, Srinagar.
Efficient Mining of Maximal Bicliques in Graph by Pruning Search Space

In this paper, we present a new algorithm for mining or enumerating maximal biclique (MB) subgraphs in an undirected general graph.Our algorithm achieves improved theoretical efficiency in time over the best algorithms.For an undirected graph with n vertices, m edges and k maximal bicliques, our algorithm requires O(kn 2 ) time, which is the state of the art performance.Our main idea is based on a strategy of pruning search space extensively.This strategy is made possible by the approach of storing maximal bicliques immediately after detection and allowing them to be looked up during runtime to make pruning decisions.The space complexity of our algorithm is O(kn) because of the space used for storing the MBs.However, a lot of space is saved by using a compact way of storing MBs, which is an advantage of our method.Experiments show that our algorithm outperforms other state of the art methods.
EFFECT OF JOB SATISFACTION ON JOB PERFORMANCE, WITH QUALITY OF WORK LIFE AS MODERATING AMONG JORDANIAN HOTELS: A PILOT STUDY

Employees in the hotel industry are the key personnel who contribute to giving guests the satisfactory experience they expect. Therefore, it is important that every employee strives to improve his/her job. The purpose of this study is to examine the influence of job satisfaction, leadership style, and organisational structure on job performance, with the moderating role of quality of work-life among employees working in Jordanian hotels. The study explores the perceptions of employees working in five-star hotels in Jordan in order to verify the validity and reliability of the study instrument. The study was applied to a small sample, and SPSS analysis software was used. The study validated the reliability of the instrument in conducting a preliminary study, obtaining reasonable normality and highly reliable coefﬁcients of measures (0.927-0.986). The study validated the effectiveness of the instrument that examined different speciﬁc antecedents of job performance.
Enabling Sustainable and Inclusive Growth in Africa: African Economic Transformation Index

Africa has experienced in recent years a high growth and relatively sustained of approximately 5 to 6% on average, reaching even 8 to 9% in some countries. However, despite this constant growth, growth in Africa has not been a poverty reduction factor as dominant as it could have been due to the high levels of poverty and inequality. Therefore, African countries need reliable and comprehensive indicators intending to evaluate the growth, which is more than a growth resulting in economic diversification, export competitiveness, an increase in productivity, technology upgrade, and finally, human well-being. African Transformation Index (ATI) has been recently created to measure African countries' progress in diversifying economic activities, making their exports competitive, increasing the productivity of farms, firms, and government offices, and upgrading the technology. The paper strives to elaborate on the African economic transformation in general and the African Transformation Index in particular to assess ATI's ability to address the issue of African economic transformation.
LibGuides: COVID-19: Library Online Services & Collections: Additional Help

This guide contains information about the MSU Libraries' online resources, services, and information regarding content that the Missouri State University community can access remotely.
Breast Cancer Prediction Using Machine Learning Algorithm with Big Data Concept

The evolution in modern computer technology produce an huge amount of data by the way of using updated technology world with the lot and lot of inventions. The algorithms which we used in machine-learning traditionally might not support the concept of big data. Here we have discussed and implemented the solution for the problem, while predicting breast cancer using big data. DNA methylation (DM) as well gene expression (GE) are the two types of data used for the prediction of breast cancer. The main objective is to classify individual data set in the separate manner. To achieve this main objective, we have used a platform Apache Spark. Here,we have applied three types of algorithms used for classification, they are decision tree, random forest algorithm, support vector machine algorithm which will be mentioned as SVM .These three types of algorithm used for producing models used for breast cancer prediction. Analyze have done for finding which algorithm will produce the better result with good accuracy and less error rate. Additionally, the platforms like Weka and Spark are compared, to find which will have the better performance while dealing with the huge data. The obtained outcome have proved that the Support Vector Machine classifier which is scalable might given the better performance than all other classifiers and it have achieved the lowest error range with the highest accuracy using GE data set
Library and Information Science Vis-À-Vis Web Science in the Light of the OECD Fields of Science and Technology Classification

Abstract Aims: The paper focuses on the methodological frames of Library and Information Sciences vis-à-vis Web Science in the light of the OECD Fields of Science and Technology Classification. The roots of Library Science and Information Science in Humanities and Social Sciences are described. The technological revolution which took place during and after World War II enabled the development of a new mathematics- and engineering-oriented environment for information. On this basis such new research areas like Web Science emerged. It led to a change towards an interdisciplinary character of Information Science. Method: The OECD Fields of Science and Technology Classification was analysed from the point of view of the Library and Information Science’s place in this classification. Solutions: In the OECD Fields of Science and Technology Classification Library Science has its independent place within Social Sciences while Information Science is dispersed between three main sections. It confirms the interdisciplinary character of Information Science and sets up its name as a superior covering traditional Information Science and all of new mathematics- and engineering- based research areas dealing with information. Although the name Web Science is not mentioned in this classification, we can assume that it is a sub-discipline of Information Science in the light of the OECD classification. Polish implications are mentioned.
Improweb MMXIX – for solo fretless electric guitar - composed by Perks, R

Second international performance of: Improweb MMXIX for solo fretless electric guitar – composed by Perks, R. This piece explores various techniques and timbres unique to the fretless electric guitar, alongside technological augmentation (including the integration of effects pedals, loops, E-Bow etc.)
Using machine learning for resource provisioning to run workflow applications in IaaS Cloud

The rapid advancements of cloud computing has made it possible to execute large computations such as scientific workflow applications faster than ever before. Executing workflow applications in clo ...
RANCANG BANGUN APLIKASI PRESENSI MENGGUNAKAN FINGERPRINT BERBASIS MOBILE DI PT. RAY PROPERTINDO

Attendance system at PT Ray Propertindo currently uses RFID card as an employee identification to conduct the presenting process. The company also has a policy of wage cuts in accordance with the accumulated time delays. But the problem is found that there is a tap RFID card by others so that employees who actually come late not recorded the delay. Another problem is, the existing system can not directly calculate the amount of wage deductions according to the needs of the company. Based on the problem, it required a fingerprint attendance system to avoid the process of attendance by others. In addition, a system that can read data from the fingerprint machine to calculate the appropriate wage deductions. Data collection methods used in this study using field studies in the form of interviews and observations as well as literature studies of journals related to the issues discussed. The SWOT method is used to determine the problem analysis. For the design method used UML as visual modeling. With the creation of this system, it can minimize the fraud on the attendance machine. Employees can see the performance of their attendance at any time. HRD staff can see directly how much the wage earned by each employee.
Shot noise-based quantum random number generator

This paper describes the proposal of a fully electronic quantum noise source for random number generators for utilize in mathematics and quantum cryptography. It uses the phenomenon of shot noise generated by current carriers in reversely polarized semiconductor junctions due to inner photoelectric effect. Described device is built to present that the shot noise in simple semiconductor devices can be amplified and sampled, to produce a random bits data stream whose quality is sufficient for all above mentioned applications.
Automated visual evaluation of an electrode with neural networks

This project was done in cooperation with the company Scibase. Scibase producesa product called Nevisense, which is used to detect skin cancer in a noninvasiveway. The measurements are made with el ...