Reviewerly/exHarmony huggingface dataset:
Dartmouth CS at WNUT-2020 Task 2: Fine tuning BERT for Tweet classification

We describe the systems developed for the WNUT-2020 shared task 2, identification of informative COVID-19 English Tweets. BERT is a highly performant model for Natural Language Processing tasks. We increased BERT’s performance in this classification task by fine-tuning BERT and concatenating its embeddings with Tweet-specific features and training a Support Vector Machine (SVM) for classification (henceforth called BERT+). We compared its performance to a suite of machine learning models. We used a Twitter specific data cleaning pipeline and word-level TF-IDF to extract features for the non-BERT models. BERT+ was the top performing model with an F1-score of 0.8713.
Experimental and computational studies on the performance of solar trackers under vortex shedding, torsional divergence, and flutter

The current development of renewable energies has originated a number of new structural typologies that are the physical support of the energy production systems.Photovoltaic energy is a very mature source and it is obtained using rows of panels implemented in a longitudinal grillage.Many studies have been carried out in the past with an aim to improve the capacity to obtain electrical power, but another important issue is the need to guarantee the performance of these industrial facilities under the phenomena induced by the turbulent wind flow, taking into account the fact that they are usually built in wide open spaces.This paper describes an extensive research carried out on two configurations of solar trackers by experimental and computational methods.The former was composed of a number of tests of reduced models of segments of the solar trackers, which were carried out in an aerodynamic wind tunnel.The latter consisted of a series of structural analyses worked out through a finite element model of the full panel subjected to aerodynamic and aeroelastic loads.Several angles of attack of the wind flow and a wide range of wind speeds were included in the study.This approach allowed to clearly evaluate the structural and dynamic performance of both the configurations of solar trackers under the most important wind-induced phenomena such as vortex shedding, torsional divergence, and flutter.The paper relates the phases of the study and informs about the more relevant numerical results obtained in the experiments and the computer analysis.
ANALISIS PENGGUNAAN KONJUNGSI DAN TANDA BACA DALAM TEKS LHO PADA SISWA SMA KELAS X

This study aims to describe the erroneous use of conjunctions and grammar in the Indonesian language by high school students of class X. The purpose of this study are as follows: (1) exposing errors in using conjunction on the student assignment sheet of observation report and (2) language error on the student assignment sheet of observation report. This research used the descriptive qualitative method of content analysis approach with a sample of an observation result of X class high school student which amounted to 4. Errors found consisted of misplacement of conjunction and misuse of punctuation. Factors cause, among others: the mastery of the linguistic rules of students less, inaccuracy in writing, lack of motivation to write, and the lack of vocabulary students. Efforts are made to overcome these factors by way of, implementing learning to write with process approach, improve the mastery of students' language rules by reading, and increase writing exercises.
Intelligent Recognition Method of Micro Image Feature Recognition in Large Data Environment

Huang, D., 2018. Intelligent recognition method of micro image feature recognition in large data environment. In: Liu, Z.L. and Mi, C. (eds.), Advances in Sustainable Port and Ocean Engineering. Journal of Coastal Research, Special Issue No. 83, pp. 697–705. Coconut Creek (Florida), ISSN 0749-0208.The intelligent recognition of features of micro image can effectively improve the recognition rate of the essential features of micro images, which has great significance to the study of micro images in various fields. For the recognition of large data features, we need to fuse the features of the micro images with the same scale and different directions, and then preprocess them completing the intelligent recognition of the micro image features. The traditional method filters the noise of the micro image to get the smooth image, and obtain the features of illumination invariant data of the micro image, but we ignore to preprocess the image, which leads to low recognition accuracy. This paper proposes the intelligent identification method of the features of micro images based on the theory of clonal selection and K nearest neighbor discrimination theory in large environment. Firstly, this method performed Gabor transform on the micro image, and fused features of micro images with the same scale in different directions according to the two fusion rules, and obtained the fusion feature of micro image on the five scales, and used the clonal selection theory to preprocess the fusion feature of micro image, forming antibody library of micro images, and combined with K nearest neighbor discriminant theory to complete the intelligent recognition offeature of micro image to be identified. Experimental results show that the proposed method can effectively improve the average recognition rate of micro image features, and has good robustness.
Criminal sanctions as a tool against online infringement: national law, international treaties, transnational cooperation

There has been much debate about extensions of criminal law to police online IP infringement, both in domestic and international law. Less often commented on is how developments in copyright law interact with the general criminal law, and the machinery of transnational law enforcement cooperation. This chapter shines a light on the use of general criminal law to skirt limitations on criminal copyright offences. It also shows how the expansion of criminal law enforcement remedies (such as seizure and forfeiture) can be employed to enable more aggressive States to reach and punish citizens in other jurisdictions. Increasingly, in the online world, not only does everyone know you’re an infringer, but almost any State could try to jail you.
Application of fractal modeling to delineate alteration zones and lithological units in Masjed-Daghi Cu-Au porphyry deposit, NW Iran

In this paper, we aim to present a quantitative modeling for delineating the alteration zones and lithological units in the hypogene zone of Masjed-Daghi Cu-Au porphyry deposit (NW Iran) based on the drill core data. The main goal of this work is to apply Ordinary Kriging (OK) and concentration-volume (C-V) fractal model based on Cu grades in order to separate the different alteration zones and lithological units. Initially, anisotropy was investigated and modeled based on calculating the experimental semi-variograms of the Cu values, and the main variography directions were identified and evaluated. Then a block model of the Cu grades was generated using the kriging, and the estimation obtained for OK was applied to the C-V fractal model. The C–V log–log plot based on the estimation method represents the various alteration and lithological zones via threshold values. The comparison and interpretation of the alteration zones and lithological units based on the C–V fractal modeling proved that the method was acceptable and capable of correctly delineating the alteration and lithological units. Regarding the correlation derived from log ratio matrix (used to compare the geological model with the C-V fractal results), it was observed that Cu values less than 0.4% were obtained for OK overlapped voxels with the phyllic alteration zone by an overall accuracy (OA) of 0.737. The spatial correlation between the potassic alteration zones resulting from a 3D geological modeling and the high concentration zones in the C-V fractal model based on OK indicated that the alteration zone contained Cu values greater than 0.4% with OA of 0.791. Also using this method, trustworthy results were obtained for the rock units.
Corrigendum to “The behavior of chalcophile elements during magmatic differentiation as observed in Kilauea Iki lava lake, Hawaii” [Geochim. Cosmochim. Acta 210 (2017) 71–96]

Author(s): Greaney, Allison T; Rudnick, Roberta L; Helz, Rosalind T; Gaschnig, Richard M; Piccoli, Philip M; Ash, Richard D
Pemerolehan Kosakata Dalam Bahasa Jepang Melalui Pengajaran Bunpoo Dan Kaiwa

The focus of this article is vocabulary acquisition of Japanese through demonstrative methods. This article is the result of research on the methods of vocabulary acquisition of Nursing Science students of Faculty of Medicine, Universitas Udayana. This article aims to explain the use of language teaching methods and strategies in non-language classes. The method used in this research is descriptive qualitative method. This article refers to the concept and theories formulated by Bandura (1986). Natural methods are used in learning Japanese grammar. Vocabulary acquisition can be obtained through the explanation of simple vocabularies that is started from a classroom environment, or through the dictionary used in the study. While, in conversation learning, the methods used are shadowing method and conversation method, which is supported by demonstrative strategies and the “question and answer” strategy. The strategy is employed by providing similar questions to all of the learners that make them try to look for different vocabularies to answer the question. The demonstrative strategy is used for observation, imitation and repetition, as well as development of the material of the context in real life situations.
Global Architecture of Wearables: Connected Textiles

In order to gain a fuller understanding of the architectures of systems built on Wearables and connected smart apparel, it is necessary to briefly recap (or take a journey of discovery for those readers who are new to the domain) on the standard communication models such as ISO and OSI, and those used for the Internet. While the communication setup for a connected accessory Wearable may be very simple, the setup for a Wearable/connected smart apparel (for example, a medical device or PPE) communicating through the Internet or IoT may be extremely complex. Let us begin by looking over the OSI and TCP/IP communication models.
Design of a multi-agent system using the "MaSE" method for learners' metacognitive help

This article addresses a multi-agent approach to solving the problem of integrating metacognitive incentives into Learning Management System. The behavior of the teacher in a classroom-teaching situation, where teacher adopting the competency-based approach, is characterized by a set of didactic interventions dynamically adaptable according to the actions-reactions of the learners. These interventions are continually subjected to perfection by experience. In this article, we are interested in modeling the multi-agent system in order to help the learners develop their metacognitive skills in a continuous way. The purpose of this system is to supervise the activities and statements of the learner and communicate them to the metacognitive agent. The latter focuses on the assessment of the learner's metacognitive skills in order to trigger, automatically, metacognitive incentives to provide help messages. Integrating the agent for metacognitive control and assistance, allows learners to maintain motivation and confidence, and elicit their attention to the importance of metacognitive skills during learning activity. The "MaSE" methodology and the "agentTool" are used to model the multi-agent system.
Investigation on ROI size and location to classify mammograms

Breast cancer is the major cause of death among women and early detection can lead to a longer survival. Computer Aided Diagnosis (CAD) system helps radiologists in the accurate detection of breast cancer. In medical images a Region of Interest (ROI) is a portion of image which carries the important information related to the diagnosis and it forms the basis for applying shape and texture techniques for cancer detection. Several ROI sizes and locations have been proposed for computer aided diagnosis systems. In the present work various ROI sizes have been used to determine the appropriate ROI size to classify fatty and dense mammograms. Two types of mammograms i.e. fatty and dense are used from the MIAS database. Various texture features have been determined from each ROI size for the analysis of texture characteristics. Fisher discriminant ratio is used to select the most relevant features for classification. Finally linear SVM is used for the purpose of classification. Highest classification accuracy of 96.1% was achieved for ROI size 200×200 pixels.
On the extension and security of key schedule of GOST

A type of simple key schedule especially suitable for lightweight block ciphers is defined as straightforward key schedule in this study. As a typical example, GOST-type key schedule, which is an extension of the key schedules of Russian Standard GOST and its newly modified version GOST2, is introduced and classified. GOST2 is designed based on the GOST encryption structure with different but the same type of key schedule to overcome the weakness of GOST against self-similarity properties-based attacks. However, it has been shown in Fast Software Encryption 2017, the simple change in the key schedule is insufficient to offer 256-bit security. By constructing an evaluation framework combining self-similarity properties and meet-in-the-middle attack, properties of GOST-type key schedules are evaluated, and candidate key schedules are provided in this work. These candidate key schedules are able to provide much better security for GOST and GOST2 ciphers than their original key schedules, and the pre-existing self-similarity properties-based attacks of full round GOST and GOST2 can be avoided. The designers of GOST and GOST2 should have been more cautious choosing the parameters of key schedules. The evaluation framework proposed can be used for reference in the design of other Feistel ciphers with straightforward key schedules.
A new wolf colony search algorithm based on search strategy for solving travelling salesman problem

Though many intelligence algorithms are used for travelling salesman problem (TSP), the main objective of this paper is to execute new approach to obtain significant improvements. This paper proposes an improved wolf colony search algorithm based on search strategy. First, we introduce interaction strategy into travel behaviour and calling behaviour to promote the communication between artificial wolves, which can improve the information acquirement for wolves and enhance the exploring ability of wolves. Second, we present adaptive siege strategy for siege behaviour, which guarantees that the new algorithm can obtain better collaborative search feature. Therefore, the range of wolf siege constantly decreases and the mining ability of wolf algorithm increases with the new strategy. Finally, experiments are carried out to verify the effectiveness of new method compared with other algorithms for TSP problems. The results show that the improved wolf colony search algorithm has higher solving accuracy, faster convergence speed.
A sort of an adversary

We describe an efficient deterministic adversary that forces any comparison-based sorting algorithm to perform at least [MATH HERE] n log n comparisons. This improves on previous efficient adversaries of Atallah and Kosaraju (1981), Richards and Vaidya (1988), and of Brodal et al. (1996) that force any sorting algorithm to perform at least 1/2n log n comparisons.
Robust and graph regularised non-negative matrix factorisation for heterogeneous co-transfer clustering

Transferring learning is proposed to tackle the problem where target instances are scarce to train an accurate model. Most existing transferring learning algorithms are designed for supervised learning and cannot obtain transferring results on multiple heterogeneous domains simultaneously. Moreover, the performance of transfer learning can be seriously degraded with the appearance of noises and corruptions. In this paper, a robust non-negative collective matrix factorisation model is proposed for heterogeneous co-transfer clustering which introduces the error matrices to capture the sparsely distributed noises. The heterogeneous clustering tasks are handled simultaneously and the graph regularisation is enforced on the collective matrix factorisation model to keep the intrinsic geometric structure of different domains. Experiment results on the real-world dataset show the proposed algorithm outperforms the baselines.
Library Guides: Using One Search: About One Search

Using the library's search tool, One Search, to find journal articles, books, book chapters and much, much more.
Audience improvisation in the immersive experience: the sensuous world of the body in the work of Lundahl & Seitl

Audience improvisation in the Immersive Experienceby Josephine Machon Alertness, intuition, instinct, sensitivity, control, action, reaction…attending…waiting…being……not instructions to the performer but terms that describe states of audience involvement in an immersive experience. The conventional expectation of an audience at a theatrical event is for passive listening and spectating, with only intellectual capacities being exercised in the appreciation of the work. In defiance of this, immersive events have evolved the idea and the practice of audience into spontaneous-decision-making improvisers within the work. Audiences in immersive theatres might continue to observe, to listen, to be receptive, yet now through direct involvement and embodied engagement, physically as much as intellectually charting their own journey through the event.In concept, content and form, immersive work relies on its audience for intuitive interaction. Each composition, shared between creators, performers, designers and audience, activates an immediate, sensory relationship in the experience of work. This allows for exchange and embraces the play between choreographed and improvised moments. The sensual immersion in each piece enables audience members to retrace the immediacy and intimacy of these moments in any subsequent embodied recall of the work.This essay analyses audience as improviser in immersive practice, drawing on the author's first-hand experience. Beginning with a brief overview that defines key terms and outlines the immersive theatres under scrutiny, it identifies some of the opportunities for audience improvisation established within an immersive context, considering the way in which such collaboration operates in diverse works; from intimate one-to-one encounters to large-scale, multilayered events. A close consideration of Lundahl & Seitl’s one-to-one work examines these ideas in relation to the unique dance that is shared between blindfolded audience member, performer and audio technologies. Recollections of the author's own improvisations in these events are documented in the first-person to reflect the immediate and subjective nature of interaction in this work. The subsequent critical stance - deepened by original interview material with the artists alongside critical theories from assorted and synergetic fields (architecture, literature, performance, philosophy) – mediate on the problems and possibilities of improvisation in immersive contexts. A merging across the the first and third-person register and across present/past tense is a stylistic feature of the analysis. Overall, the essay offers an approach to audience appreciation as embodied philosophy, performance theory that evolves from improvisatory practice.
Circulation counter service in public and academic libraries

Most interactions that occur at circulation counters are straightforward. In many public and academic libraries, people ask for directions to the washrooms, to different departments, and to interesting places and noteworthy attractions in the vicinity. At many libraries, the most common circulation desk transactions concern the borrowing and return of items. Circulation clerks discharge returned items, collect fines, set aside items for repair and cleaning, issue borrower cards, and take note of items that have gone missing. Circulation clerks can also be responsible for safety and security tasks. They can provide first aid to injured colleagues and patrons. They can make sure that fire alarms and emergency lighting are functional and lock library doors at the end of the day.
Library Guides: Using One Search: Getting Started

Using the library's search tool, One Search, to find journal articles, books, book chapters and much, much more. Signing into One Search, finding your way around this guide
Neuroiconics [Book Reviews]

Neuroiconics is about the science of capturing conscious and unconscious communications by and within the human brain. Written in Russian, the book has 14 chapters, an introduction, and a conclusion. There are 35 pages of references dating from 1908 to the present, and it includes full insight into state-of-the-art Russian and worldwide neurovisual studies. New research directions for multimodal sensory processing within the brain are projected. Two distinctive findings are presented in chapters ten and 14. The importance of diagonal spatial frequency filtration in array processing for facial perception handling and the suspected orderly versus chaotic networks formed by neurocells can trigger new research directions. Many new results are presented on the perception of a facial image based on proactive, computerized image stimulus testing. The importance of diagonal spatial frequency filtration is noted in emotion recognition, considering the world is inundated with false images and expressions. Significant personal effect was investigated after separating the stress factors unrecognized by conventional functional magnetic resonance imaging (fMRI) recordings. Brain recognition and reaction, through vision, depend on the overall neuron reactions in both active and inactive mode, obvious and hidden cells/synapses, and consensual and contesting interactions. This impact resulting from the subconscious level leads to the belief that neuron interactions can be driven by contrasting forces from processing the same vision signals. The propagation of opposing senses in the dominant sensory category cannot be ignored in the interpretation of how vision signals affecting brain functions result in abrupt or unexpected behavior changes. This book presents discussions about future vision-associated brain research. Many models imply hierarchical processing by constructing input into an artificial neuron from outputs at a lower level, which allows gradual growth of receptive fields and, therefore, an ability to process more complex stimuli.
Library Guides: Using One Search: Accessibility

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STRESS OF THE TEACHING STAFF IN SPECIAL EDUCATION

The article contains a study in which we wanted to see to what extent stress affects teachers and whether there are differences in the type of school they teach, depending on age or gender. The results show a higher, statistically significant stress on special education teachers, the fact that younger teachers are more stressed, regardless of the type of activity they provide, and women working in education are more stressed than their men colleagues.