Reviewerly/exHarmony huggingface dataset:
Considerations in Folsom Fluting and Evaluation of Hand Held Indirect Percussion

This chapter discusses the replication process and evaluates the potential of our revised technique. The sandstone hammer percussion tool used also seemed too hard, often creating moderate to pronounced ripples on the flute scars, especially in obsidian and the finest textured cherts or those that were heat treated. Folsom hunters created an impressively high mark of achievement in stone tool production, one that modern replicators are still struggling to hurdle. A fluting method should be capable of removing channel flakes at least 6 cm long and preferably longer, and it must be able to flute preforms of raw chert or flint, i.e. no heat treatment. Simplicity in fluting technique equates to simplicity of tools—little more than what is needed for general flintknapping. A simple tool kit better accords with the probable highly mobile lifestyle of Folsom hunters. The anvil stone and antler baton are used in general flintknapping work and would be in the tool kit regardless.
A Salient Binary Coding Scheme for Face and Expression Recognition from Facial Images

The Automatic Face Expression Recognition is very important in computer vision since it has widespread applications in the real time. However, the main issue is the design of an efficient descriptor that describes the changes in the face appearance. This paper introduces a novel binary compact coding as Edge Adaptive Local Directional Binary Pattern (EALDBP) that encodes the texture features of facial image. The proposed EALDBP is resilient to noise and illumination variations as well as it encodes the directionality of expressions. The directionality is discovered by the computation of edge responses through different compass masks. The relationship between gradient pixels in the local neighborhood is taken into consideration to encode intensity variations. Finally, a compact face descriptor is constructed with the help of Histograms computation over the encoded face image. The performance evaluation of face appearance recognition was tested using two datasets and the outcomes are contrasted with several state-of-art methods.
LibGuides: Gateway Library Instruction Conference 2019: Questions?

Program details to the 4th Gateway Library Instruction Conference to be held on Friday, July 19, 2019
ANALYSIS OF LIBRARY SATISFACTION SURVEY: Case Study Library Department of Governance Institute of Home Affairs in 2018

Problem Statement: The author focuses on the problem of decreasing the number of Library Department of IPDN visitors in 2018. Purpose: This study is focused on answering how the satisfaction of IPDN library users. Method: The author collected data through a questionnaire distributed to 51 respondents in the Praja category. Results: The results showed that the dimensions of collection types, completeness of collections, book search on the shelves, time of visit and borrowing time for library collections needed improvement, while in the dimensions of collection search tools, easiness of library users to obtain information, attitude and behavior of librarians needed improvement. Conclusion: Library users were satisfied with the implementation of the library, especially in the dimensions of the attitude and behavior of librarians, search tools collection and ease of information search. The author suggests that IPDN Libraries need to survey the needs of the type of library collections that are needed by users, update written regulations relating to library service hours, increase lending time for library collections that can be borrowed and brought home, and set shelving schedules on a regular and regular basis.
LibGuides: Gale Digital Scholar Lab: How can I use Gale Digital Scholar Lab

Gale Digital Scholar Lab is a Digital Humanities platform that gives users the possibility to analyze and interrogate data with the text analysis and visualization tools built in the platform. This guide gives an overview of how to best use this platform.
Pemanfaatan Algoritma K-Means untuk Pengelompokkan Angka Partisipasi Sekolah di Jawa Tengah

In Indonesia, the School Participation Rate (APS) is recognized as one of the indicators of the success of developing education services in regions, whether Province, Regency, or City. The higher the rate of school enrollment, the more successful an area is at providing access to educational services. The dataset was obtained from the Central Statistics Agency (BPS) of Central Java Province's website. The object studied is the percentage of APS in the Central Java region from 2017 to 2019 for ages 7 to 12, 13 to 15, and 16 to 18. The study's goal was to conduct an analysis in the form of mapping the School Participation Rate in the districts and cities of Central Java, the third most populous province after West and East Java. RapidMiner software is used in the analysis process. The research output is a map of clusters of areas in the Regency and City areas. The k-means method, which is part of clustering data mining, is the solution method offered. The number of mapping clusters in this study was divided into two categories: high (C1) and low (C2) clusters. According to the study's findings, the mapping of the 7-12 year old cluster was 24 provinces in the high cluster (cluster 0) and 11 provinces in the low cluster (cluster 1); the mapping of the 13-15 year old cluster is 23 provinces in the high cluster (cluster 0) and 12 provinces in the low cluster (cluster 1); and the mapping of the 16-18 year old cluster is 15 provinces in the low cluster (cluster 1). Cluster determination is based on the final centroid value, with the final centroid value of the 7-12 year old cluster being high (cluster 0) 99.81, 99.87, 99.75; low (cluster 1) 99.73, 99.43, 99.25; and the centroid value of the 13-15 year old cluster being high (cluster 0) 97.52, 97.12, 96.93; low (cluster 1) 93.78, 93.58 Overall, the mapping results show a high percentage for all age groups, which is greater than 50% in the high cluster. In detail, 24 provinces (57 percent) are in the low cluster for the 16-18 year age group. The research findings can provide a macro picture of the level of development of the School Enrollment Rate over the last few years
PREPARING STUDENTS FOR INDEPENDENT EDUCATIONAL ACTIVITIES IN CREDIT-MODULAR SYSTEM

In this research paper provides the credit-modular system contribute to the improvement of the educational process in a medical university, since it will allow for the transition from information-communicating training to modelling and formative training, which determines the future professional activity of a doctor. The transition to active forms will allow training specialist who will be able to quickly adapt to changing conditions
Why e-commerce attracts fraud

The rapid growth of online shopping is allowing businesses to generate revenue from the world of e-commerce. This sector is increasing its share of retail sales – e-commerce accounted for 7.4% of global retail sales in 2015, and by 2020 this had grown to 18%. Furthermore, projections suggest that this could increase to 21.8% by 2024. The trajectory of e-commerce highlights its significance and the need for businesses to innovate and prioritise online operations to improve shopping experiences and revenue.
LibGuides: Using Permalinks Guide: Permalinks to Videos in Films on Demand

This guide is meant to explain why and how to use permalinks for the catalog and high use databases.
Psychological Characteristics of the Formation of Professional Motives in Adolescents

This article provides information on the role of psychological characteristics in the identification of professional interests in adolescents, the formation of communicative communication, the development of their cognitive processes.
"DENGUE IgG/IgM ANTIBODI RAPID TEST" (IR-113c) SEBAGAI PERANGKAT DIAGNOSTIK CEPAT DEMAM BERDARAH DENGUE

Dengue Haemorraghic Fever (DBD) remains one of the main major health problem. The morbidity rate increases from year to year, especially in the urban area like Jakarta. It is caused by flaviviridae virus, and transmitted through mosquitoes biting (Aedes aegypti or Aedes albopictus). Although the morbidity from 1990 to 2006 was high (total cases showed 22.807 in 1990, and 111.730 in 2006), the case fatality rate (CFR) were gradually decrease (CFR showed 3,60% in 1990 and 1,41% in 2006). The problem is in the early clinical manifestation of dengue virus infection causes a broad spectrum of illnesses, may as an asymptomatic infection, a like undifferentiated fever, a common influenza, a chikungunya, or as a typhoid fever. Prompt and accurate diagnosis is needed, to saving the lives of DBD patients. In order to get prompt and accurate diagnosis for dengue virus infection, we validated a Dengue IgG/IgM Antibody Rapid Test/IR-113c) (produced by Oncoprobe), using 61 sera taken from dengue infected patients from Jakarta, Semarang andMedan. All sera were paired or taken from acute and convalescence phases of infection. RDT result were compare to HI (Haemaglutination Inhibition) Test as a gold standard, ELISA test was also be done to measure the titers oflgM and IgG. It was found that this device showed 76,9% (76,8-77) sensitivity (Se), 77,7% (77,6-77,8) specivicity (Sp), 77,05% (76,95-77,15) accuracy, 95,2% (95,45-95,25) and 36,8% (36,68-36,92) positive predictive value (ppv) and negative predictive value (npv), all those result were statistically valid (x'=10,7, p = 0,001). The convalescence sera showed 98,1% (98,07-98,13) sensitivity (Se), 77,7% (77,6-77,8) specivicity (sp), 95,1% (95,05-95,15) accuracy, 96,2% (96,16-96,24) and 87,5% (87,42-87,58) positive predictive value (ppv) and negative predictive value (npv), all those result were statistically valid (x2 = 38,74, p = 0,000). Dengue IgG/IgM Antibody Rapid Test/IR-113c has an adequate sensitivity and accuracy however it is less specific. This device showed higher validity for convalence sera.
LibGuides: Toolbox for Authors: Writing and Sharing Your Research: Writing, Publishing & Copyright

Looking for tips and resources for writing? Explore these suggestions from the WBG Library staff. (Where noted, licensed resources and Intranet pages are available for WBG or IMF staff only. Some suggestions may require additional licensing) Learn about how to format your research writing properly, by following the internal suggestions and policies and respecting copyrighting
Ensemble Learning of Diffractive Optical Neural Networks

We report ensemble learning of diffractive optical neural networks that result in substantial improvements in the all-optical image classification accuracy of the resulting models.
Internet of Things (IoT) Based Automated Teller Machine Security System

This paper manages the designing and application of a security system to prevent theft in Automated Teller Machine(ATMs), because of increasing number of ATM related crime around world. The existing security system in ATMssuch as security guard and the surveillance camera are inadequate to provide safety to the ATMs. So, this paperaims to tackle this drawback found in existing security measures for the ATMs. By using the proposed scheme theATM crimes which include breaking the machine by different methods such as by use of hammer, welding, etc. andrunning away with the money or machine can be prevented. The skimming fraud i.e. applying a camouflaged deviceon the card reader which saves the user’s card number and pin can be eliminated. If the security is breachedthief/thieves will be locked inside by automatic closing of door & also they will be made unconscious by releasinggas in the room. The alert message with the locality of the ATM will be sent to the nearby police station and also tothe respective bank official to ensure that the accused can be caught in no time. There is also a situation when themachine needs to be handled by the bank official for the deposition of currency notes in the machine or for themaintenance of the machine, so, all the security devices has to be shut down for that time. This can only be done byan authorized person using his fingerprint. Therefore, the proposed work will enhance the security system usingMEM sensor, pressure sensor, GSM/GPS module, temperature sensor, fingerprint scanner, DC & servomotor.
Student Behavior Simulation in English Online Education Based on Reinforcement Learning

This article has been retracted.
Intelligent IoT-Based Product Dispenser and Billing System

The rise of wireless technology and other communication techniques has made electronic commerce extremely famous. Buying at broad malls is becoming a regular occurrence in metro towns. For these areas, there is a massive rush during weekends and holidays. People buy different things and place them in a trolley. After purchases are completed, one has to go to the payments billing counter. The cashier checks the bill at the billing counter using a barcode reader which is a very time-consuming procedure which results in a long queue at the billing counter. A smart product is the one that helps make daily life easy, convenient, and secure. In this paper, we present an innovative shelf-checkout concept that helps smart shopping and billing. The main concept here is to support a person shopping on a regular basis in terms of the reduced amount of time spent when buying a product. The proposed work also implements an analysis of the products to gain a best-buy option. To achieve this feat, we have incorporated a recommendation system along with the general product display. The main objective of this work is to provide a technology-oriented, cost-effective, easily scalable, and robust system for personal shopping.
A Recursive Markov Boundary-Based Approach to Causal Structure Learning

Constraint-based methods are one of the main approaches for causal structure learning that are particularly valued as they are asymptotically guaranteed to find a structure that is Markov equivalent to the causal graph of the system. On the other hand, they may require an exponentially large number of conditional independence (CI) tests in the number of variables of the system. In this paper, we propose a novel recursive constraint-based method for causal structure learning that significantly reduces the required number of CI tests compared to the existing literature. The idea of the proposed approach is to use Markov boundary information to identify a specific variable that can be removed from the set of variables without affecting the statistical dependencies among the other variables. Having identified such a variable, we discover its neighborhood, remove that variable from the set of variables, and recursively learn the causal structure over the remaining variables. We further provide a lower bound on the number of CI tests required by any constraint-based method. Comparing this lower bound to our achievable bound demonstrates the efficiency of the proposed approach. Our experimental results show that the proposed algorithm outperforms state-of-the-art both on synthetic and real-world structures.
Application of Blockchain Technology in the Assessment System

This paper is aimed at the data security needs of the assessment system, and uses the characteristics of blockchain technology such as distributed storage, tamper-proof modification, and consensus mechanism, and proposes a certificate assessment system based on blockchain technology. The data of the system is stored in a distributed structure, that is, multiple databases are distributed in various regions of the country, and data synchronization is carried out between each node. After the user obtains the certificate, the system will hash the certificate data and store it in the database in the area where it is located, and finally synchronize it to other nodes through broadcasting to complete the data storage. Compared with the assessment system designed by the existing centralized scheme, the assessment system based on the blockchain distributed storage scheme has the advantages of traceability, non-tampering, and decentralization, which improves the security of certificate data records.
Perancangan Dan Penyusunan Modul Dan Powerpoint Akuntansi Keuangan Kelas 11 Semester Genap Pada SMK Negeri 1 Tanjungpinang

Since Covid-19 happened, there has been a temporary closure of educational institutions as an effort to prevent the spread of the Covid-19 pandemic. Implementation of learning and teaching takes place online. Online learning activities using digital technology, then the teacher teaching system required to be more creative like make learning materials in PowerPoint and module. Practical work methods is using interviews and observations. Design and arrangement materials in PowerPoint and module based on the syllabus and “Kompetensi Inti dan Kompetensi Dasar” (KIKD) financial accounting lessons. The results of the materials that has been made in the module and PowerPoint can make it easier for teachers when teaching online and for students to learn. Expected the module and PowerPoint there will be a change for the better for adjustment of conditions in the next learning period.
Simulation of English Linguistic Phonetic and Lexical Variation Based on Sociology Perspective

Objectives: From the perspective of sociology, the speech and vocabulary variation simulation of English linguistics is discussed in depth. Firstly, the background of the research object and the significance of the research are elaborated, and then the research theory related to the English phonetic and lexical variation simulation is analyzed. Methods: Through the design of the English phonetic intonation network teaching system, the design ideas that conform to the development of each function of the platform are proposed. Results: Furthermore, the English linguistic speech and lexical variation simulation model algorithm based on sociological perspective is used to design and verify the function of the teaching system, and the effectiveness of the algorithm is verified by empirical analysis. Conclusion: The final results of the experiment show that by using the Internet of Things (IoT) technology to develop a system tool that conforms to the teaching method and put it into specific teaching work can improve students’ English linguistics pronunciation and vocabulary learning ability.
RIM: Reliable Influence-based Active Learning on Graphs

Message passing is the core of most graph models such as Graph Convolutional Network (GCN) and Label Propagation (LP), which usually require a large number of clean labeled data to smooth out the neighborhood over the graph. However, the labeling process can be tedious, costly, and error-prone in practice. In this paper, we propose to unify active learning (AL) and message passing towards minimizing labeling costs, e.g., making use of few and unreliable labels that can be obtained cheaply. We make two contributions towards that end. First, we open up a perspective by drawing a connection between AL enforcing message passing and social influence maximization, ensuring that the selected samples effectively improve the model performance. Second, we propose an extension to the influence model that incorporates an explicit quality factor to model label noise. In this way, we derive a fundamentally new AL selection criterion for GCN and LP--reliable influence maximization (RIM)--by considering quantity and quality of influence simultaneously. Empirical studies on public datasets show that RIM significantly outperforms current AL methods in terms of accuracy and efficiency.
TEACHING PRESENT CONTINUOUS TENSE BY USING MIME GAME (An Experimental Research at the Seventh Grade Students of MTsS Safinatussalamah Blang Panyang)

The title of this thesis is “Teaching Present Continuous Tense by Using MimeGame (An Experimental Research at the Seventh Grade Students of MTsSSafinatussalamah Blang Panyang)”. Most students in seventh grade of MTsSSafinatussalamah Bang Panyang got problem and troubles in mastering presentcontinuous tense. It was happened because most of students think that learningpresent continuous tense is difficult and learning grammar in school still useuninteresting method, and also the atmosphere students of the class is frequentlypassive. The problem of this research is there any significant differences inachievement between the students who are taught present continuous tense byusing mime game from those who are taught by using conventional method at theseventh grade students’ of MTsS Safinatussalamah Blang Panyang?. The purposeof this research is to know whether there is significant differences in achievementbetween the students who are taught present continuous tense by using mimegame from those who are taught by using conventional method at the seventhgrade students’ of MTsS Safinatussalamah Blang Panyang. The methodologyused in this research quantitative with quasi-experimental design. The populationof the research was the seventh grade students of MTsS Safinatussalamah BlangPanyang. In this research, the researcher used purposive sampling, those are: classVII-A as the experimental group consists of 27 students and VII-B as the controlgroup consists of 27 students. The total number of samples is 54 students. Theinstrument used to collect the data was a test. The test are pre-test and post-test.The research gave pre-test before giving the treatment and post-test after givingtreatment and the treatment was conducting in three meetings. The data wasanalyzed by using t-test formula. The researcher found that the score of t-test was7.52, the score of t-table on significance 0.05 was 1.67. It means that t-test washigher than t-table, the on criteria 7.52 > 1.67. So, based on criterion, theresearcher conclude that the alternative hypothesis (Ha) of this research wasaccepted and the null hypothesis (Ho) was rejected. It means that using mimegame in teaching present continuous tense was effective.
An Analysis of Code Switching in WhatsApp Group Communication

This study aimed at investigating the types of code switching made by WhatsApp group members of “English Club”. It also tried to find out the members’ reasons made code switching from Indonesia to English or visa-versa. The result of study showed that there were three types of code switching used by member of “English Club” namely intra-sentential switching, inter-sentential switching, and tag switching. Intra-sentential switching was the most frequent types of code switching made by members during the chat. Meanwhile, for the reasons of code switching, the result showed that there were four reasons of code switching. Necessity to talk in a particular topic, repetition for clarification, show group identity and lack of vocabulary. In conclusion the use of code switching is a commonly phenomenon carried out by WhatsApp group members of “English Club” while chatting.