Reviewerly/exHarmony huggingface dataset:
Analysis of the relevance of the first year elementary school dynamization

The objective of the present paper is to introduce dynamization through ICT on the subject of “knowledge of the environment” for the first year of basic education. Since it is currently handled through books and knowledge is not implemented through interactions, understanding the environment lies in precisely recognizing the elements that surround the student so that they can interact with it. If we show the students videos, animations and audios on how the environment is comprised, their academic growth can be more significant and be better inserted to its context. The methodology that was used was experimental, from which the prototype shown in this article was built, contributing to generate the tools that improve educational quality. The circulation of the article will be the missing step to have an impact on the elementary schools of Valle del Mezquital and Mexico, where projects like this are needed.
Online course: Private company acquisitions

This course will give you an overview of private company acquisitions (carried out by way of share and business sale), including an understanding of the key elements of a transaction.
LibGuides: Online Library Resources: Find Books

Guide to online library resources, created to help students while Clovis Community College transitions to alternative modalities of instruction.
LibGuides: Online Library Resources: How to Cite

Guide to online library resources, created to help students while Clovis Community College transitions to alternative modalities of instruction.
Mapping of the Geological Structures Using Digital Elevation Model (DEM)-Derived Flow Direction: A Case Study of Rungwe Volcanic Province, Southwest Tanzania

This study aimed to assess the potentiality of Digital Elevation Model (DEM)-derived flow direction in mapping geologic structures, specifically in areas with thick overburden of soil or volcanic materials such as in the Rungwe Volcanic Province, SW Tanzania. Clustering of flow directions based on trends of structure sets found in the study area was applied and it successfully revealed a large number of geological structures through demarcated tectonic blocks from patterns created by flow directions. Northwest–southwest (NW-SE) and NE-SW- trending lineaments are the dominant structural sets in the area whereas N-S and E-W-trending lineaments constitute the minor sets. Moreover, the approach has also unveiled the NW-SE-trending faults that control most of the volcanic centers. The extracted lineaments by the method presented in this research are consistent with the known geological structures and structure surface manifestations such as volcanic centers, hot springs and earthquake epicenters. Findings of this study has revealed that the method can be applied as a robust technique to map crustal structures mostly in early phases of exploration, and has shown good results in delineating faults in areas with thick overburden such as soils and volcanic materials. Keywords : Applied Remote Sensing; Flow Direction; Geological Structures; Rungwe Volcanic Province;
Analytical Study On Security Issues In Steganography

Information or data is vital asset to us. Steganography is the specialty of secured, or hidden, writing. The reason for steganography is undercover communication to hide the presence of a message from a third party. This proposed framework manages executing security-utilizing Steganography. The mediums are typically images, video, audio and so forth., wherein explicit bits or the general space is normally 'corrupted' with 'significant' data. In this technology, the end user recognizes an image which is going to go about as the bearer of data. The data file is encrypted and authenticated. This message is hidden in the image. The image whenever hacked or translated by a third party user will open up in any image previewer yet not showing the data. This shields the data from being imperceptible and consequently be secure during transmission. The user in the less than desirable end utilizes another bit of code to retrieve the data from the image.
SMCC Library: MGT253: Industry Analysis

This library research guide will assist students in creating a business plan for their own business.
Research Guides: Electronic Resources at The Evergreen State College Library: Home

This guide aims to bring together all the electronic resources (e-books, e-journals, databases, streaming media) and digital content available through The Evergreen State College Library.
LibGuides: Online Library Resources: Find Articles

Guide to online library resources, created to help students while Clovis Community College transitions to alternative modalities of instruction.
Marketing Campaign for Mhogo Foods: Desining a Pilot Strategy

This project is a collaborative effort between graduating student Johan van der Schaaf from Delft University of Technology, BoP Innovation Center and client organization Mhogo Foods. The project is conducted mainly in Nairobi, Kenya and focuses on building a marketing pilot for Mhogo Foods to increase access to nutrition in low-income markets. The project taps into the challenge of marketing nutrition and the difficulty of measuring effectiveness of marketing campaigns. After a short literature study and 15 interviews with the target audience that provided several insights, a design-led approach was used to create a tag line that resonates with the target audience. The combined insights resulted in a tag line that formed the key message of the campaign: ‘Mlo Wetu Halisi’ (in English: ‘Eating, in our traditional way’). The design-led approach turned out to be helpful in targeting the message to the preferences of the target audience and ensuring the tag line is inclusive. During implementation of the campaign, all materials and interventions were based on the predefined key message. The implementation of the campaign consisted of a mix of proven offline activities to gain the first market traction with digital experiments to explore new marketing opportunities. The digital experiments consisted of streaming recipe videos through Wi-Fi platforms on local buses and distributing digital coupons through several digital channels that could be redeemed at local shops. During the campaign, different digital channels were tested through the digital coupon program. An initial setup, where coupons would be distributed through Facebook, Whatsapp and the Wi-Fi platforms on buses highlighted the challenge of reaching customers through the digital channels while also educating them on the program. A second iteration, consisting of a hybrid between offline and online channels, resulted in more tangible data, with customers showing understanding and interest in the coupon program. An additional key insight was that the Wi-Fi platforms turned out to be the only digital channel that could both reach the target audience and keep the attention span of consumers for a prolonged period of time. Finally, a tool is presented that can be used in future marketing pilots to assist in building the campaign and in designing strategies for measuring effectiveness of digital channels.
LibGuides: Libby by OverDrive: Introduction to the Libby App

The free Libby app is the easiest way to get started with ebooks, audiobook, magazines and videos from MBSC library. All you need to do is download the app and sign into our library using library card number to begin browsing the digital collection.
The Effectiveness of Storytelling on Students’ Listening Comprehension (At Language Development Unit Antasari State Islamic University At Banjarmasin)

This thesis describes the effectiveness of storytelling on students’ listening comprehension (at Language Development Unit Antasari State Islamic University at Banjarmasin), Is there any significant effect of the storytelling for students’ listening comprehension of Language Development Unit Antasari State Islamic University at Banjarmasin? This research was investigating the significant effect of storytelling for students’ Listening Comprehension (at Language Development UnitAntasari State Islamic University at Banjarmasin).The research used pre experimental research method. This research was conducted in Language Development Unit Antasari State Islamic University at Banjarmasin. The population of this research were students of Language Development Unit Antasari State Islamic University at Banjarmasin year 2017/2018. The research used random sampling as the technique of the sampling. This research was employed one-group pretest-posttest design it is no randomization and no control class because there is only one class. Data analysis was conducted by using t-test with SPSS 22 program to test the hypothesis.The result showed that different mean score of students’ listening comprehension before taught using storytelling was 36,25. Meanwhile, the mean score of students’ listening comprehension after taught using storytelling was 73,94. The result of counting score using T-test showed that tcount (19,934) > ttable (2,787). The result of calculation indicated that Ha was accepted and Ho was rejected. The finding showed that storytelling was effective used in teaching storytelling for it could upgrade the students’ listening comprehension.
源?뺤? ?쒓린??遺곹븳?????援곗궗?꾨컻???좏삎怨?蹂???묒긽

This study empirically analyzes the invasion and provocation of South Korea from 2009 to 2018 when Kim Jong-un appeared on the front of the North...
Large-Scale Ontological Reasoning via Datalog

Reasoning over OWL 2 is a very expensive task in general, and therefore the W3C identified tractable profiles exhibiting good computational properties. Ontological reasoning for many fragments of OWL 2 can be reduced to the evaluation of Datalog queries. This paper surveys some of these compilations, and in particular the one addressing queries over Horn-SHIQ knowledge bases and its implementation in DLV2 enanched by a new version of the Magic Sets algorithm.
Joseph R. Skeen Library & OSL: ST 529/529D (Research and Documentation): Home

Guide with information and tips supporting the coursework for all sections of ST 529 Basic information about course guide, including librarian's contact info
Multimode entanglement for fermions

We are motivated by tripartite entanglement for fermions. While GHZ or W states involve 3-fold intrication, we consider here piecewise intrication of 3 fermions in C 2 , namely of type ab + bc + ca. Before interaction with Stern-Gerlach apparatus, qu-bits are distinguishable; at the output however they turn into un-distinguishable particles, whose anti-symmetric wave function is of the form det(b − a, c − a) (affine determinant). More generally, d + 1 intricated fermions in C d can be represented by the anti-symmetric wave function det(a1 − a0, a2 − a0, · · · , a d − a0). We investigate also properties of affine Slater determinants, as expectation values or reduced density matrices.
Victimization of Facebook Users: An Empirical Study among Female Students in Tangail

Social networking site is an important area of research. It is a known fact that young adults and teenagers, especially students are the most avid users of online Social networking sites which have a great impact on their lives. Yet, little is known about the sardonic experiences of students in social networking sites. With approximate 22.880 million users Facebook holds its number one popularity rank. Therefore, this paper takes Facebook as commissar of these Social Networking sites and focuses to provide an insight on the victimization of Female student and tends to explore the current nature and causes of female Facebook victimization. Female students are opted because they are more vulnerable in these sites than male. This paper reports the findings of a research work that was carried out in the higher secondary educational institutions in Tangail by using a non-probability purposive sample of 15 to 26 years aged female students. 70 samples were collected through a structured questionnaire and the gleaned data was analyzed by using SPSS. This study demonstrates, although social networking site have opened up a new way of socialization, respondents had experienced several types of cyber crime in Facebok. Such experiences create a state of insecurity, depression, fear, isolation and to a very large extent suicide. It is relatively a new phenomenon and hopefully both the effective technical strategy along with public consciousness used as a useful tool to reduce female vulnerability in Facebook from individual to national level in Babgladesh.&#x0D;
: Distance Learning - TESOL: Services

Library resources, services, and support for Distance Learning TESOL students Access to Library Resources and Support
Regional Geochemical Exploration for Cu-Au Deposit Based on Self-Organizing Map (SOM) in Valezir Area, Meshginshahr, NW of Iran

Since most of the geochemical data analysis procedures require preliminary assumptions that lead to constraint and errors in the true nature of the data causing reduction in the effectiveness of the adopted methods. Therefore, a model-based clustering method as self-organizing map (SOM) were employed with the aim of recognizing Cu-Au mineralized zones by establishing an optimized exploration tool in Valezir area, NW of Iran. SOM as a dimension reduction method was introduced to recognize geochemical distribution patterns of Cu-Au with higher certainty while preserving the originality of the data. Subsequent to data preprocessing and testing different SOM architectures, an appropriate structure with a pattern containing six clusters was selected. Accordingly, the related elements distribution model was extracted and interpretation of the geochemical system represents two significant sets of elements in clusters (i.e. 1st, 2nd and 6th clusters) to anticipate the mechanism of distribution: 1- Copper and pertaining trace elements formation from intermediate to acidic hydrothermal solutions, which are localized in the northern part of the area and emplaced in the quartz monzo-dioritd intrusive body. 2- Au Anomalies and its associated elements As, Hg and Bi depicted in 2nd cluster. The Au anomalies follow geochemical pattern with Bi, Sb, As, and W that are mostly elongated from NW to SW of the area. It seems relatively the low enrichment of gold has occurred during the intrusion of the igneous body into older volcanic units that caused extensive alterations, remobilization and localization of Au and related elements. To assess the SOM results, a comparative study was carried out with the results obtained from hierarchical clustering analysis (HCA). The results illustrated higher performance by SOM approach in characterizing geochemical system and detecting the elements paragenetic sequence in the area for locating the exploration targets.
Lock to a Locker Method on Fuzzy Cryptography for Double Security

The sender sends the lock of an encrypted binary number of a locker crisp number from a fuzzy membership table which is defined on an ASCII values of an uppercase alphabets and membership function. The receiver then converts the binary number into a fuzzy number and then it is defuzzified using a suitable formula.
Research on the application of information technology in College Chinese Education

Abstract College Chinese is an important basic course offered by colleges and universities. How to make students of different majors learn this course effectively is a challenge for teachers. This paper expounds how to improve the learning efficiency by innovating the teaching mode, breaking the traditional learning mode and promoting each other under the support of information technology environment. This paper puts forward the teaching mode of students’ autonomous learning, teachers’ guidance and students’ cooperative learning, and cultivates students’ learning ability and innovative spirit.
Research Guides: Expanded Free Access to E-Resources During COVID-19: Free Access to E-Resources During COVID-19

A directory of free access to licensed electronic resources announced by vendors and publishers during the Spring 2020 semesters. These digital resources are available to students and faculty. A directory of free access to licensed resources announced by vendors and publishers during the Spring 2020 semesters. These digital resources are available to students and faculty.
MIM-Based Generative Adversarial Networks and Its Application on Anomaly Detection.

In terms of Generative Adversarial Networks (GANs), the information metric to discriminate the generative data and the real data, lies in the key point of generation efficiency, which plays an important role in GAN-based applications, especially in anomaly detection. As for the original GAN, the information metric based on Kullback-Leibler (KL) divergence has limitations on rare events generation and training performance for adversarial networks. Therefore, it is significant to investigate the metrics used in GANs to improve the generation ability as well as bring gains in the training process. In this paper, we adopt the exponential form, referred from the Message Importance Measure (MIM), to replace the logarithm form of the original GAN. This approach named MIM-based GAN, has dominant performance on training process and rare events generation. Specifically, we first discuss the characteristics of training process in this approach. Moreover, we also analyze its advantages on generating rare events in theory. In addition, we do simulations on the datasets of MNIST and ODDS to see that the MIM-based GAN achieves state-of-the-art performance on anomaly detection compared with some classical GANs.
FACTORS CORRELATED TO LEAMING ACHIEVEMENT OF THE STUDENTS OF STATE SENIOR HIGH SCHOOL 14 OF MAKASSAR

Introduction :Learning achievement is the result of leaning activity process which causes a change of students' behavior. Such a change involves knowledge, skill, and attitude aspects. Those aspects are then evaluated and actualized in numbers and scores as seen in their report book. The aim of the rese correlated to learning achievement of the students of State Senior High School 14 of Makassar. Method: This research was a cross sectional design. The populations were male students of Class XI of State Senior High School 14 of Makassar consisting of 77 students. The sample was selected using proportional stratified random sampling technique. The data were obtained through questionnaire and observation sheets. Result: The results of the chi-square test indicate that there is a significant value of p = 0.004 meaning that there is a significant correlation between smoking behavior and students' learning achievement. The result of kolmogrov-smirnov test indicates the value of p = 0.000 meaning that there is a significant correlation between parents' economic status and students' learning achievement. The result of chi-square test indicates the value of p = 0.983 meaning that there is insignificant correlation between class program and students' learning achievement. Conclusion : There is correlation among smoking behavior, parents’ economic and class program with student’s learning achievement.
Knowledge management in the context of academic libraries: the state of the art in brazilian studies

The objective is to identify and analyze, based on the state of the art, how Knowledge Management (KM) has been approached in university libraries. This is a bibliographic search, based on theses, dissertations and papers available in the Digital Library of Theses and Dissertations of the Higher Education Personnel Improvement Coordination, as well as in the Journal Portal, from 2009-2018. We found 13 papers (dissertations and theses), of which 6 were selected due to their proximity to the research theme. In the Journal Portal were recovered 584 papers that, after a “floating reading”, were selected 9. The results show that Knowledge Management has been approached through comparative study, instrument proposition to diagnose or manage information and knowledge in an integrated way, experience reports on Knowledge Management practices, among others. However, in most of the investigated institutions, KM is adopted in a non-systematic way, decreasing it effectiveness.
Abstractive Text Summarization and Unsupervised Text Classifier

In this day and age, as the Internet gets increasingly cluttered for content, the comprehension of generated huge texts is growingly becoming a source of major inconvenience for a normal viewer, and classifying it is another gruesome task. Text summarization and classification prove to be a boon as it abridge and categorize the massive text into sizeable length without removing the key information within it and assign it to its genre. In this paper, the authors have tried to implement the abstractive type of summarization using sequence-to-sequence RNN. Using this model, the output perceived is a summary which is short, lossy, and whose length does not necessarily depend on source text length, and then the authors have used bidirectional LSTM to find the best one to assign a particular genre.
OzU-NLP at TREC NEWS 2019: Entity Ranking.

This paper presents our work and submission for TREC 2019 NewsTrack: Entity Ranking Task. Our approach utilizes Doc2Vec’s abilityto represent documents as fixed sized numerical vectors. Applied onnews articles and wiki-pages of the entities, Doc2Vec provides us withvector representations for these two that we can utilize to performranking on entities. We also investigate whether background linkedarticles can be useful for entity ranking task.
Face Landmark Analysis for Emotion Discrimination on Fake Smile Expressing just after Watching Emotion-eliciting Film

The purpose of this study is to clarify feature for discriminating emotion while expressing fake smile. First, we experimented to record face expression in video. The flow of the experiment was following; we first displayed one of emotion-eliciting films, and participant expressed (fake) smile just after watching the film. At the end of the experiment, we let them assess what emotion they felt with two self-report measures. We prepared six emotion-eliciting films in order to record various face expression with various emotion. Then, we obtained face landmark positions from the face on the recorded video using a method proposed by Kazemi et al(1). We focused that eyes and mouth corners move well while smiling, and defined 15 feature values related to that landmarks. Furthermore, we grouped the feature values in emotion scores by clustering. There are significant differences in eye area between happiness and disgust, and in some mouth corners’ feature values between happiness and fear as a result of comparison of clusters. we considered these differences resulted from disgust/fear, but negative emotion.
LibGuides: Alternative Educational Resources During COVID-19: Open Access Collections

Many publishers are offering free access to their resources during the COVID-19 crisis. This is a compilation of known offers available to Johnson & Wales University.