Reviewerly/exHarmony huggingface dataset:
Literary infrastructure in West Sumatra, Indonesia

This study is about the literary infrastructure in West Sumatra, Indonesia. The components of this infrastructure are: (1) publishing houses, (2) literary clubs, (3) bookstores, used bookstores, and lending libraries (taman bacaan), and (4) support provided by government and non-government institutions and individuals. I chose these components to be examined in this study based on their contributions to the literary field in the province, as well as the actual impact of their contributions. The primary research question which is examined in this thesis is: what is the literary infrastructure in West Sumatra, what are its roles with regard to literature, and what kind of literary practices does it facilitate?These literature-related components build a system that enables the production process of work as a whole. In this thesis, I describe how the literary infrastructure operates in West Sumatra, Indonesia. It has revealed the local literary dynamics in West Sumatra through its main components, which drive and support the literary journey in the field. With its exploration of the West Sumatran literary field, this study shows how many parties –the main actors being publishers, clubs, bookshops, government institutions, and of course writers- support the literary field.
МОДЕЛИРОВАНИЕ ФОРМАТИВНОГО ОЦЕНИВАНИЯ УЧЕБНЫХ ДОСТИЖЕНИЙ УЧАЩИХСЯ

The article identifies the problems of students learning new knowledge in the context of criteria-based assessment of student learning achievements. Researched the content and types of criteria-based assessment. Identified the structural elements of formative assessment: residual, activity-based, local and modular. Described the structural elements of summative assessment: intermediate and final. The tools of criteria assessment are extended with the following components: the expected result, an individual student card of learning material, and a table of recording students' academic achievements. Proposed the model of the card for the implementation of criteria-based assessment within a single academic period and methods for the implementation of formative assessment.
Fraud prevention disclosure on Malaysian public universities’ websites

Purpose The purpose of this paper is to investigate the extent of fraud prevention disclosure on the Malaysian public universities’ websites. Design/methodology/approach The level of fraud prevention information disclosure was examined using content analysis of all 20 public universities in Malaysia based on the university fraud prevention disclosure index (UFPDi) previously developed by the authors’ research team. Findings The disclosures of eight aspects of fraud prevention policies, responses, initiatives and mechanisms were not satisfactory. Possible reasons could be because of lack of awareness and appreciation on the institutional mechanisms and lack of formal pressure from the relevant authority. Research limitations/implications Data collection for analysis was conducted during a period of one month only due to rapid changes of the information on the websites. Social implications The low level of disclosure using UFPDi will prompt the Malaysian public universities to take proactive actions in promoting transparent and good governance among the university staff hence assisting the government in addressing the fraud problem that is plaguing the nation. Originality/value This paper is an extension to the authors’ previous work on UFPDi. It further explains and highlights the extent of fraud prevention disclosures among academic institutions who are receiving financial resources from the government.
Identifying Students' Listening Skill Through Metacognitive (A Case Study of the Tenth Grade of SMAN 1 Kragilan in the Academic Year 2019 / 2020)

Siti Maninah. 161230182. 2020. Identifying Students’ Listening Skill Through Metacognitive. (A Case Study of the Tenth Grade of SMAN 1 Kragilan in Academic Year 2019/2020).This research, answered the research question about students’ listening skill and the obstacles of the students’ listening skill based on metacognitive strategies. The aim of this research is to investigate the students’ listening skill through their metacognitive strategy. In this research, the researcher used descriptive qualitative case study approach to collect the data, this research used questionnaire and interview to collected the data. This research involves 36 students as a sample consists of 12 male and 24 female among the tenth grade students of SMAN 1 Kragilan. The research finding showed that all of the students were have the five factors of metacognitive listening strategies to face their difficulties in listening. The five factors were, 1) Problem solving represents a group of strategies used by listeners to inference or guess at what they do not understand, 2) Planning and evaluation, represent the strategies listener use to prepare themselves the listening and evaluate of their listening efforts, 3) Mental translation, represent strategies must learn to avoid if they are to become skilled listeners,4) Person knowledge, represent listeners’ perceptions concerning the difficulties, 5)Directed attention, represent if the listeners’ concentration and stay on the task. The implications from this research are students have used metacognitive to overcome difficulties in listening, the teacher can provide understanding and awareness of students about the effective use of metacognitive in students before listening. In conclusion, metacognitive have significant effect toward students’ listening skill and students can analyze their difficulties in listening with using metacognitive strategies.
On Avoiding the Union Bound When Answering Multiple Differentially Private Queries

In this work, we study the problem of answering $k$ queries with $(\epsilon, \delta)$-differential privacy, where each query has sensitivity one. We give an algorithm for this task that achieves an expected $\ell_\infty$ error bound of $O(\frac{1}{\epsilon}\sqrt{k \log \frac{1}{\delta}})$, which is known to be tight (Steinke and Ullman, 2016).A very recent work by Dagan and Kur (2020) provides a similar result, albeit via a completely different approach. One difference between our work and theirs is that our guarantee holds even when $\delta < 2^{-\Omega(k/(\log k)^8)}$ whereas theirs does not apply in this case. On the other hand, the algorithm of Dagan and Kur (2020) has a remarkable advantage that the $\ell_{\infty}$ error bound of $O(\frac{1}{\epsilon}\sqrt{k \log \frac{1}{\delta}})$ holds not only in expectation but always (i.e., with probability one) while we can only get a high probability (or expected) guarantee on the error.
Do Embeddings Actually Capture Knowledge Graph Semantics

Knowledge graph embeddings that generate vector space representations of knowledge graph triples, have gained considerable popularity in past years. Several embedding models have been proposed that achieve state-of-the-art performance for the task of triple completion in knowledge graphs. Relying on the presumed semantic capabilities of the learned embeddings, they have been leveraged for various other tasks such as entity typing, rule mining and conceptual clustering. However, a critical analysis of the utility as well as limitations of these embeddings for semantic representation of the underlying entities and relations has not been performed by previous work.
Characterization of fracture networking and connectivity: Insights from Discrete Fracture Network Model and Multi-Scale analysis from the Buxa Dolomite of the Main Boundary thrust sheet, Siang widow, Arunachal Himalayan Fold thrust belt

&amp;lt;p&amp;gt;Fracture systems develop at different stages of progressive deformation and are often genetically associated with folding. The frontal Main Boundary thrust (MBT) sheet is folded in a fault bend fold (Ahmed et al., 2018) and is exposed in Siang window in far eastern Arunachal Himalayan fold-thrust belt (FTB). The Buxa dolomite of the Lesser Himalayan sequence forms part of the MBT sheet and records four different sets of fractures (Basa et al., 2019). We present results from Discrete Fracture Network (DFN) model from the Buxa dolomite. Integrating fold test, cross-cutting, offset and abutting relationships, we have established that the low-angle fracture set (0&amp;amp;#176;-20&amp;amp;#176;) formed as a result of early layer parallel shortening.&amp;amp;#160; These low-angle and the two sets of medium angle fractures (20&amp;amp;#176;-60&amp;amp;#176;) formed prior to the fault-bend folding. The late stage, high-angle fractures (60&amp;amp;#176;-90&amp;amp;#176;) developed synchronous to the fault-bend fold (Basa et al., 2019). We model the fractures formed before and during the folding event using 3D MOVE&amp;amp;#8217;s Fracture Modeling module to evaluate how the properties of secondary porosity and permeability, induced by fracture sets, fracture area/unit volume (P32) and overall connectivity are affected by the folding event. The input parameters of fracture orientation, intensity, length and aperture were measured from the field. For the aspect ratio, theoretical value of 1:2 (Olding, 1997; Olson, 2003) was considered.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Results from DFN analysis indicate that the average porosity increases from pre-folding (model-1) (~0.0028) to syn- to post-folding (model-2) (~0.0071). The permeability also increases from ~231 Darcy in model-1 to ~3988 Darcy in model-2. There is also a significant rise in P32 (~2.8m&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;/m&amp;lt;sup&amp;gt;3&amp;lt;/sup&amp;gt; to ~4.3m&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;/m&amp;lt;sup&amp;gt;3)&amp;lt;/sup&amp;gt; value from model-1 to model-2. The late high-angle fracture set led to increase in overall connectivity, including porosity, permeability and fracture intensity. This is also corroborated from the field results that reveal high-angle fractures are more conducive to vein formation (~41%) compared to the lower angle fracture-sets (~15 %).&amp;lt;/p&amp;gt;
Research on Second Language Acquisition and Foreign Language Teaching Based on Individual Differences of Learners

This article explains the connection and influence of individual differences and second language acquisition: individual learner differences have an important impact on the second language acquisition process, and improving and optimizing individual differences can help improve second language acquisition performance; the teaching process of educators is related to the second language acquisition process. The teaching strategy is linked to the learner's second language acquisition process, and it has a close influence on their acquisition performance. Based on individual learner differences, the education department should effectively reform the current foreign language education evaluation system and curriculum setting system, establish a “teaching evaluation system based on individual student differences”, and set up courses suitable for different learners based on the characteristics of individual learners System, teach students in accordance with their aptitude, and effectively improve the level and quality of foreign language teaching. Second language acquisition is a dynamic and complex system engineering. Although there are countless factors involved, they can basically be divided into four categories: individual learner differences, learning process and psychological mechanism, and the types of native language and target language. Differences and migration, social culture and environment. Based on the theoretical models and the results of empirical research in the study of second language acquisition, this article analyzes the role of these factors in the process of second language acquisition and its rationale, and on this basis, puts forward ten principles of foreign language teaching and teaching practice. Suggestions.
Half-day Panoramic view on Acoustic Materials - 3 - Georgios Theocharis

The youth group of the new EAA (European Acoustics Association) Technical Committee on Acoustic Materials, the YAN (Young Acoustician Network) and the YRAM (Young Researchers in Acoustic Metamaterials) organized a joint event for young researchers (masters/PhD/post-docs) on the topic of acoustic materials on Monday, May 10, 2021. The program included 6 accessible lectures to grasp different aspects of the topic: Introduction to porous materials - Fabien Chevillotte (Matelys) Current (and future) trends in acoustic materials - Bart Van Damme (Empa) From granular media to magneto granular crystals - Georgios Theocharis (LAUM) Viscoelasticity in porous materials - Lucie Rouleau (CNAM) Bio-based acoustic materials for building applications - Clement Piegay (CEREMA) Biomedical ultrasound applications of acoustics holograms - Noe Jimenez (I3M, UPV) Links: EAA TC on Acoustic Materials: https://euracoustics.org/technical-committees/tc-on-acoustic-materials/tc-on-acoustic-materials EAA YAN: https://euracoustics.org/yan YRAM: https://yram.org
Fast Category-Hidden Adversarial Attack Against Semantic Image Segmentation

Category-hidden adversarial attack (CHAA) Logits map A B S T R A C TIn semantic segmentation, category-hidden attack is a malicious adversarial attack which manipulates a specific category without affecting the recognition of other objects.A popular method is the nearest-neighbor algorithm, which modifies the segmentation map by replacing a target category with other categories close to it.Nearest-neighbor method aims to restrict the strength of perturbation noise that is imperceptive to both human eyes and segmentation algorithms.However, its spatial search adds lots of computational burden.In this paper, we propose two fast methods, dot-based method and line-based method, which are able to quickly complete the category transfers in logits maps without spatial search.The advantages of our two methods result from generating the logits maps by modifying the probability distribution of the category channels.Both of our methods are global, and the location and size of objects to hide are not cared, so their processing speed is very fast.The dot-based algorithm takes the pixel as the unit of calculation, and the line-based algorithm combines the category distribution characteristics of the horizontal direction to calculate.Experiments verify the effectiveness and efficiency compared with nearest-neighbor method.Specifically, in the segmentation map modification step, our methods are 5 times and 65 times faster than nearest-neighbor, respectively.In the small perturbation attack experiment, dot-based method gets the fastest speed, while different datasets and different setting experiments indicate that the line-based method is able to achieve faster and better adversarial segmentation results in most cases.
Introduction to the Special Issue on Emerging Challenges and Solutions in Hardware Security

introduction Introduction to the Special Issue on Emerging Challenges and Solutions in Hardware Security Share on Editors: Domenic Forte View Profile , Debdeep Mukhopadhyay View Profile , Ilia Polian View Profile , Yunsi Fei View Profile , Rosario Cammarota View Profile Authors Info & Claims ACM Journal on Emerging Technologies in Computing SystemsVolume 17Issue 3July 2021 Article No.: 29pp 1–4https://doi.org/10.1145/3464326Online:30 June 2021Publication History 0citation108DownloadsMetricsTotal Citations0Total Downloads108Last 12 Months108Last 6 weeks4 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Bounded Memory Active Learning through Enriched Queries

The explosive growth of easily-accessible unlabeled data has lead to growing interest in \emph{active learning}, a paradigm in which data-hungry learning algorithms adaptively select informative examples in order to lower prohibitively expensive labeling costs. Unfortunately, in standard worst-case models of learning, the active setting often provides no improvement over non-adaptive algorithms. To combat this, a series of recent works have considered a model in which the learner may ask \emph{enriched} queries beyond labels. While such models have seen success in drastically lowering label costs, they tend to come at the expense of requiring large amounts of memory. In this work, we study what families of classifiers can be learned in \emph{bounded memory}. To this end, we introduce a novel streaming-variant of enriched-query active learning along with a natural combinatorial parameter called \emph{lossless sample compression} that is sufficient for learning not only with bounded memory, but in a query-optimal and computationally efficient manner as well. Finally, we give three fundamental examples of classifier families with small, easy to compute lossless compression schemes when given access to basic enriched queries: axis-aligned rectangles, decision trees, and halfspaces in two dimensions.
Adversarially Robust Learning with Unknown Perturbation Sets

We study the problem of learning predictors that are robust to adversarial examples with respect to an unknown perturbation set, relying instead on interaction with an adversarial attacker or access to attack oracles, examining different models for such interactions. We obtain upper bounds on the sample complexity and upper and lower bounds on the number of required interactions, or number of successful attacks, in different interaction models, in terms of the VC and Littlestone dimensions of the hypothesis class of predictors, and without any assumptions on the perturbation set.
KEMAMPUAN MENULIS PUISI SISWA KELAS IV SD NEGERI 130 PEKANBARU

Poetry is a variety of literature that is described using language that is briefly dense and beautiful. In writing poetry, there are three essence of poetry, namely the nature of art or function of aesthetics, density, and indirect expression. Writing poetry needs to be introduced to students since elementary school, so that students have the ability to appreciate poetry well. Appreciating a poem is not only intended for understanding and understanding poetry, but influences sharpening the sensitivity of feelings, reasoning, and sensitivity of children to humanitarian problems. The assessment of learning to write poetry in Pekanbaru Public Elementary School 130 is only subjective. The study was conducted in class IV SDN 130 Pekanbaru. This research was conducted in the second semester of the 2016/2017 school year. The method used in this study is descriptive quantitative. Collecting information with test techniques is usually done through giving a set of tasks. Data processing in the form of scoring the value of writing poetry, the average student writing ability and the percentage level of students' ability to write poetry both individually and classically. There are several aspects assessed in writing poetry are themes, images or images, diction, discussion and mandate. The action taken is that the researcher gives an essay test sheet to determine the ability of students to write poetry. Based on the recapitulation of the ability to write poetry, the average writing ability of students in writing poetry with the theme of the teacher viewed from all aspects is 52.39 with less criteria.
A Survey on Data Augmentation Methods Based on GAN in Computer Vision

Data augmentation is a significant technique in deep learning. As Generative Adversarial Networks (GAN) have gained wide attention, data augmentation methods based on GAN are utilized in many applications. This paper is aimed to provide a survey on various GAN-based data augmentation methods in computer vision. These methods are divided into three types according to their function. The first is generating samples from latent space directly. The second is image translation. The last produces augmentation operations utilizing adversarial strategy. The theories and applications of these methods are introduced in detail. Their defects and future research directions are discussed at the end.
High School Students’ Common Errors in Writing Essays

Students’ writing problems have become one of the first and foremost issues in writing classrooms, and to know the common errors which frequently occur on students’ writing papers is usually what the writing teachers have conducted in the classrooms. However, no research study has been conducted at Huynh Man Dat High school to investigate this aspect. The purpose of the current study is to investigate the common written errors on students’ writing essays and their attitudes towards the writing process approach. The target subjects are from grade twelve, Huynh Man Dat (HMD) High School. Data collection was from writing tasks and questionnaires. The study found that the four most common errors frequently occur in students’ writing journals are relating to tenses, collocations, spellings, and verb forms. The findings from an attitude questionnaire indicated that the students expressed positive attitudes towards it and showed a high appreciation for the effects of process writing
Communication Complexity of Private Simultaneous Quantum Messages Protocols.

The private simultaneous messages (PSM) model is a non-interactive version of the multiparty secure computation (MPC), which has been intensively studied to examine the communication cost of the secure computation. We consider its quantum counterpart, the private simultaneous quantum messages (PSQM) model, and examine the advantages of quantum communication and prior entanglement of this model.In the PSQM model, k parties P₁,…,P_k initially share a common random string (or entangled states in a stronger setting), and they have private classical inputs x₁,…, x_k. Every P_i generates a quantum message from the private input x_i and the shared random string (entangled states), and then sends it to the referee R. Receiving the messages from the k parties, R computes F(x₁,…,x_k) from the messages. Then, R learns nothing except for F(x₁,…,x_k) as the privacy condition.We obtain the following results for this PSQM model. (i) We demonstrate that the privacy condition inevitably increases the communication cost in the two-party PSQM model as well as in the classical case presented by Applebaum, Holenstein, Mishra, and Shayevitz [Journal of Cryptology(3), 916-953 (2020)]. In particular, we prove a lower bound (3-o(1))n of the communication complexity in PSQM protocols with a shared random string for random Boolean functions of 2n-bit input, which is larger than the trivial upper bound 2n of the communication complexity without the privacy condition. (ii) We demonstrate a factor two gap between the communication complexity of PSQM protocols with shared entangled states and with shared random strings by designing a multiparty PSQM protocol with shared entangled states for a total function that extends the two-party equality function. (iii) We demonstrate an exponential gap between the communication complexity of PSQM protocols with shared entangled states and with shared random strings for a two-party partial function.