Reviewerly/exHarmony huggingface dataset:
Study on Ability of Elementary School Teacher in Writing Test Items During The Pandemic Time of Covid-19

The purpose of this study was to obtain information about the ability of elementary school teachers in composing test questions in private universities. This research uses qualitative research, which describes empirical reality using a descriptive approach. This study also uses a literature study, with documents to find some field data that occurs in the form of questions on several subjects. Meanwhile, the descriptive method is finding facts with the right interpretation, namely understanding the concept of the material, the ability to use the rules of the question. Meanwhile, the data analysis used was (1) the subject matter expert's judgment in interpreting some of the item test document findings, (2) theoretically and empirically the item had met the standard question rules. This research was found, during the COVID 19 pandemic, all parents or guardians have a 100% chance of assisting with distance learning as unprecedented. The sample consisted of nine subject teachers and the population was all fourth-grade teachers in primary schools as research subjects. So the assessment also uses offline and online so that it is found, (1) biased test questions, because the linguistic structure of the main sentence and explanatory sentences, is wrong in choosing questions with answers, (2) does not understand the rules about the questions: such as homogeneity of questioners, long and short answers, the use of standard Indonesian. Meanwhile, some of the test questions that were found to have problems were Indonesian, Natural Science, Character, and Boy Scouts. From 12 items, 4 items had material concept errors and 8 items error in the rules.
VFEDet: a variational information bottleneck based feature enhancement object detection network

The anchor-based two-stage object detection methods like the Faster R-CNN are commonly utilized for detection tasks in various fields. Since networks in these methods are built on the pre-trained classification models, their performance largely depends on the backbone's properties. And it will make them suffer from limited generalization ability on some specific datasets. To overcome this problem and enhance the model's representation ability, we propose a Variational Information Bottleneck Based Feature Enhancement Object Detection Network (VFEDet). We first design a spatial-wise feature enhancement module in the first stage to highlight the critical target in the images, using a weighting map generated from the original feature in the form of information bottleneck (i.e., Variational Information Bottleneck, VIB). It can effectively suppress the overfitting and make the features contain more discriminative information for recognition and bounding box regression. Furthermore, we modify the second stage by inserting the VIB after the first fully connected layer to improve the model's robustness. Introducing the two parts into the original detection model, we achieve 39.34% improvement on a thyroid nodule ultrasound image dataset polluted by a kind of special noise in a previous work. The effectiveness of the proposed method is also evaluated on the COCO dataset.
Pseudonymization of Language Learner Data

We present de-identification and pseudonymization of a learner corpus within the ongoing research infrastructure project SweLL[1]. The main project aim is to make available a linguistically annotat ...
Detection of Breast Cancer with Python

Global cancer data confirms more than 2 million women diagnosed with breast cancer each year reflecting majority of new cancer cases and related deaths, making it significant public health concern. But fortunately, it is also the curable cancer in its early stage. Early diagnosis of breast cancer with timely and effective treatment services improves the prognosis and survival of patients. During classifying tumors, there are significant chances of error and false diagnosis which is needed to be worked upon. Accurate classification can prevent patients from unnecessary treatments. Thus, it is important to accurately classify patients into malignant and benign groups with right diagnosis. This study is based on machine learning (ML) algorithms, aiming to review python technique and its application in breast cancer diagnosis and prognosis by building simple machine learning model. Machine learning has unique advantage as it detects critical features from complex breast cancer datasets. The methodology is widely used for classification of pattern and forecast modelling. The primary data for this study is extracted from Wisconsin breast cancer database (WBCD). It is the benchmark database which compares result via different algorithms.
The Effectiveness Of Edmodo Application In Teaching Writing Of Procedure Text

Along with the development of the world of technology and information, learning activities are also required to change. Learning by using the internet is known as e-learning. Many applications that can be used by teachers in teaching process isEdmodo. The purpose of this study is to determine the extend to which Edmodo can improve student learning outcomes in writing text procedures and want to know what factors influence it. This study used quantitative techniques with an experimental design. The research sample consisted of 40 people who were divided into two classes (control and experiment). Data collection techniques used were questionnaires, tests and observations.The results obtained were as follows: First, the students 'scores after they were taught using the Edmodo Application were higher than before they were taught, so that means that the procedure of writing texts using the Edmodo Application is effective in improving students' writing skills. Researchers used statistical tests. From the table in SPSS 20 the computation showed the significance value (2-tailed) of this case the sample is 0.012 (p <0.05). So the results of the initial test and final test underwent significant changed. Second, there were three factors that influence why the Edmodo application can improve students' writing skills in procedure texts such as the Edmodo Application is Easy to use, Students and Teachers can enjoy in the teaching and learning process.
Bahasa Indonesia, Ethnic Languages and English: Perceptions on Indonesian Language Policy and Planning

Language policy and planning in Indonesia have been geared toward strengthening the national language Bahasa Indonesia and the preserving of hundreds of ethnic languages to strengthen its citizens’ linguistic identity in the mid of the pervasive English influences especially to the young generations. The study examines perceptions regarding the competitive nature of Bahasa Indonesia, ethnic languages, and English in contemporary multilingual Indonesia. Utilizing text analysis from two social media Facebook and Whatsapp users who were highly experienced and qualified language teachers and lecturers, the study revealed that the posts demonstrated discussions over language policy issues regarding Bahasa Indonesia and the preservation of ethnic language as well as the concerns over the need for greater access and exposure of English that had been limited due to recent government policies. The users seemed highly cognizant of the importance of strengthening and preserving the national and ethnic languages, but were disappointed by the lack of consistency in the implementation of these. The users were also captivated by the purchasing power English has to offer for their students. The users perceived that the government’s decision to reduce English instructional hours in the curriculum were highly politically charged and counterproductive to the nation’s advancement.
Signal Detection and Signal Source Integrated System Design

Abstract A signal detection and nuclear signal generator is designed with a 7 and a half high-precision measurement module, high-precision reference source, and digital potentiometer, which integrates the measurement of three signals of bipolar high voltage, micro/high current, and large resistance. And precision adjustable voltage source and current source of microvolt level and picoamp level. Experimental tests show that the system can accurately measure a variety of IVR signals, while providing a stable and precise voltage source and current source, and is easy to operate and easy to carry.
Fast and Robust Primary-Multiple Separation in the Curvelet Domain

Summary Considerable attention has been devoted to the curvelet-based primary-multiple separation methods in the industry, which attenuates multiples by solving a computationally intensive, iterative curvelet thresholding (ICT) problem. This type of methods exploits the sparsity of primary and multiple in curvelet domain, along with constraints in data domain, resulting in performing repeated forward/inverse discrete curvelet transforms (DCTs) at each iteration. To ameliorate the computational cost, we propose an alternative method to separate primary and multiple using ICT constrained in curvelet domain instead of data domain, which avoids repeated forward/inverse DCTs. It is much faster, but this method acts on each curvelet coefficient independently. This results in hypersensitivity to prediction errors and inversion parameters. Due to frequency-dependent prediction errors, we then consider the joint constraints within different frequency bands to stabilize and improve separation results. Thus, a fast and robust curvelet-based separation method is proposed. Based on alternating split Bregman algorithm, we present an efficient iterative solver with a faster convergence. In comparison with ICT constrained in data domain, synthetic and field examples demonstrate the higher efficiency of the proposed method with more multiples suppressed and less primaries distorted.
Blockchain Disables Real-World Governance

This study indicates that the improper uses of a public blockchain disable real-world governance in organizations and marketplaces. By using any basic application of smart contracts, such as escrow transactions, along with a revelation mechanism outside the blockchain, individuals can execute illegal cartel acts in a self-enforcing and non-judicial manner. Cartel members can then implement collective deviations without help from trusted intermediaries or any requirements on reputation or word-of-honor. We show that a first price auction is vulnerable to cartel threats even if the seller can hide bidders' prices because bidders take a countermeasure to hidden prices by using blockchain.
LibGuides: Choosing a Research Topic: Home

A brief guide to help students understand what goes in to making a good research topic, with resources to help them make good topic selections.
The Utilization Of Sawdust Waste As A Media For Sculpture

Technology has penetrated into the community as a necessity for the sake of acceleration, while art is an inseparable part of the needs of every human being's life, both fine art and applied art. Technology and art cannot be separated at every step forward but the residual waste of technology can used into works of art without using technological aids. Some sculpture works made of wood, cement, fiberglass, metal (brass). This research will look at the extent to which sawdust can used as a medium for making sculptures. Sawdust waste is found in many furniture industries and stage home industries. With sawdust for creative people can used as material for art work. Keywords: Sawdust; Waste; Sculpture
Different readers, different texts, different processes : the effects of reader and text properties on text processing

The central aim of this dissertation is to gain insight into the on-line text processing and strategy use by young low- and high-comprehending readers as they read expository and narrative texts for comprehension, with an additional aim to provide insight into distinct reading profiles. A second aim is to gain insight into the effect of different forms of text layout on young readers’ text comprehension and reading speed. The dissertation comprises three sections. The first section consists of a theoretical chapter about individual differences in reading comprehension (Chapter 2). The second section consists of four empirical studies in which (combinations of) different research methods were employed (Chapters 3-6). In the first study, a think-aloud protocol was used to investigate the on-line reading approach of readers and the possible existence of subgroups of readers, whereas in the second study readers’ eye movements were tracked. The third study examined whether subgroups of readers that were characterized as paraphrasers and elaborators based on the think-aloud study, were also characterized by different eye-movement patterns. The fourth study examined whether and why young beginning readers might benefit from segmented text layouts. The third section consists of a conceptual chapter in which the results and conclusions from the empirical studies are summarized and discussed in a broader context and recommendations are given for educational practice (Chapter 7).
A Brief Talk on the Strategies of Implementing Chinese Language Teaching to Mongolian Overseas Students

TCFL is a new discipline. Although TCFL has developed rapidly in China, it is still a relatively young discipline. TCFL in Inner Mongolia University is aimed at Mongolian students. As a branch discipline, Chinese teaching for Mongolian students is distinctive in teaching Chinese as a foreign language, so it can be called “the new in the new”. We sum up the experience of this teaching activity in time and actively explore, from which we can find out the scientific rule of constructing this scientific teaching system.
Technology-facilitated domestic and family violence (TFDFV)

Digital media and devices are increasingly used by abusers to coerce, control and entrap targets. Behaviours facilitated through technology are not divorced from but inextricably connected to other forms of harm. In the interest of preventing violence and safeguarding and empowering victim/survivors, this is a crucial field of enquiry.
Makeup transfer based on multi-scale feature loss

Facial makeup transfer is a hot research field in computer vision, aiming to transfer the reference face's makeup style to the non-makeup face. In the existing research, we can use to combat the loss to keep the identity information of the face consistent before and after the makeup transfer, but because the input face sometimes has a massive deflection and expression action, which seriously affects the effect of makeup transfer. This paper proposed a face makeup transfer framework based on multi-scale feature loss. Our model is composed of a generator, discriminator, and multi-scale discriminator. The reference makeup and the non-makeup face are input into the generator at the same time. The generator will output the non-makeup face after makeup, which contains the input non-makeup face's identity information and the reference makeup style. To enhance the robustness of the makeup result on the network and improve the effect of makeup on the network, the output makeup face and the input non-makeup face are input into the multiscale discriminator to calculate the feature loss. The multi-scale discriminator takes the pixel multiplication of the semantic segmentation image of the makeup face and the non-makeup face as the input 1 of the multi-scale discriminator, and the pixel multiplication of the non-makeup face and its semantic segmentation as the input 2 of the multi-scale discriminator, and then calculates the feature loss of the two inputs after passing through the multi-scale discriminator. In the calculation process, the feature loss can constrain the pixel differences of different semantic segmentation, which can restrain the shadow and makeup overflow caused by angle deflection and facial expression in makeup transfer. The experimental results show that this paper's experimental method achieves a better effect of makeup transfer than the existing experimental methods.
LibGuides: Succeeding In Online Learning: Study Tips

Resources for succeeding in online coursework. Getting comfortable with the environment, managing time and stress, and studying effectively.
Розроблення мультимедійної системи з елементами ігрових задач

To develop a multimedia system using elements of gamification in teaching, the meaning of the concept of "gamification" is studied and the main elements used for gamification in the educational process are identified. The developed software solution for learning a foreign language with elements of gamification will improve the learning process of apprentices.
Repository of Basic Digital Skills for Moroccan Doctoral Students “University Case of Study :Hassan II Casablanca”

Being a doctoral student is not easy because it presupposes having a number of technical skills, among which digital skills, defined by the European Commission (2006) as "the safe and critical use of the technologies of the society of the information". and the variety of digital use in the personal and professional context, allows us to ask the question that any doctoral student should master and acquire in terms of digital skills? And on what basis can we define these skills?In this work we expect to develop a baseline of digital skills, is a document that includes the set of essential digital skills that represents a fundamental tool for the doctoral student who can in no way bypass it. And for this, we conducted interviews with about thirty university professors from different faculties of Hassan II University inCasablanca to arrive to a draft of this reference system, then we proceeded to its validation with a second group of 45 teachers in the same university, while studying the correlations existing between the degree of importance of the fields of numerical competences and the belonging to a faculty of the university in question using the khi2 test.
A method of combination word recognition based on word structure features

With the continuous expansion and deepening of the human knowledge system, various compound words have been created to express new concepts. Since the combined words cannot be recorded in the thesaurus in time, which lead to the word segmentation system cannot recognize them. Hence they are generally recognized as the unite of the smallest word (atomic word). So it is very urgent and meaningful to study the recognition method of compound words. In this paper, we propose a word structure based combinatorial word discovery algorithm, which makes full use of the following three word structure characteristics: word spacing, word frequency, and grammatical rules. According to the distance and position relationship between different words, the algorithm makes a comprehensive evaluation based on the rule judgment and the occurrence frequency of words. By experiments on different corpora, the results show that this method has higher accuracy.
PELATIHAN INTERNET SEHAT: KEPEDULIAN DIRI AKAN KEAMANAN INFORMASI

Internet and social media usage in daily activities is continuously increasing. UKM gets the benefit of information technology to increase its sale through scale up the marketing target in order to increase its revenue. However, most of UKM are worry about the risk in using information technology in their daily activities, such as cyber fraud and stealing their private data and their identities. To overcome these problems, it needs to design training materials that can reduce theirs worry in using information technology. Designed training material based on problem faced by training participants can satisfy and give a benefit to participants even though the instructor delivery and response is not good.
Mixed models for correlated compositional data: applied to microbiome studies in Indonesia

The main objective of this thesis is to improve the understanding of the role of helminth infections on the human gut microbiome and consequently on the human immune responses. We utilized the observations from a household randomized controlled trial in a helminth endemic area in Indonesia, where the microbiome data is the main outcome of interest. The microbiome data obtained via high throughput sequencing possess a compositional structure. Therefore, each bacteria category correlates with each other. In addition, the repeated measurement of the microbiome data imposes an extra correlation within bacteria category over time. We first developed a new statistical methodology to model the effect of infection as well as deworming on microbiome composition by taking into account the compositional nature of microbiome data as well as the correlation due to repeated measurements. Secondly, to model the effect of helminth infection on the gut microbiome composition and immune responses, a joint model is developed. This model is able to estimate the correlation between microbiome composition and immune responses.
IMPROVING STUDENTS’ READING COMPREHENSION IN NARRATIVE TEXT OF VIII GRADE AT SMPN 3 TOLITOLI THROUGH SELF-QUESTIONING STRATEGY

The objective of the research is to find out whether the use of self-questioning strategy improve the students’ reading comprehension in narrative text.The design of this research is experimental research. The population of this researchis the eighth grade students of SMP Negeri 3 Tolitoli in the academic year of 2015/2016. The number of the subjects is 35 students. The data areobtain by administering reading test to the VIII B. The research is started by giving pre-test, treatments,and post-test. The data of the test areanalyze by using t-test formula to know the difference of the students’comprehension in reading narrative text. In the pre-test, the mean score of the experimental research is 49.34. The mean score of post-test of the experimental research is 83.20. The result of the t-test  differenceis 11.848and t-table is2.032. It means that t-value is higherthan t-table (11.848>2.032). The calculation reveal that the hypothesis about asignificant difference on reading comprehension between students who arethrough narrative text by using Self-Questioning strategy.Based on the research conduct, it is  prove that the use of Self-Questioning strategy is effective as a strategy to improve students’ Reading Comprehension In Narrative Text Of VIII Grade At SMPN 3 Tolitoli. Key Words : Improve, Reading Comprehension,Self-Questioning strategy,Narrative text,
LibGuides: Primary Sources: Find Primary Sources in OneSearch

How to find primary sources on the web and in the Broome Library. Find Primary Sources in OneSearch