Reviewerly/exHarmony huggingface dataset:
Musical Changes Driven by Technology

This chapter explores how science and technology has revolutionized the sounds produced by different instruments. The main examples here are for the violin family and wind instruments. Some changes do not significantly alter the visual appearance, but allow different types of performance, more power, changes in tone, and totally new instruments (e.g. the saxophone). This has had an immense influence on composition, to exploit these new sounds, and of course an equally major swing in fashion from the audiences and players. Understanding of the science has been a key factor in the developments. Change is not always popular, and for example many players of early musical compositions believe they should be played with original sounding instruments and pitch. Unfortunately, the majority of audiences are now so accustomed to the new sounds that they find the earlier ones difficult to appreciate.
LibGuides: Diversity in Education: Websites

This guide is for the subject Diversity in Education. It contains resources available in the NCU Library.
Evaluation of haematological parameters and categorisation of anemia in adults in a tertiary care hospital

Evaluation of haematological parameters and categorisation of anemia in adults in a tertiary care hospital - IJPO- Print ISSN No: - 2394-6784 Online ISSN No:- 2394-6792 Article DOI No:- 10.18231/j.ijpo.2019.115, Indian Journal of Pathology and Oncology-Indian J Pathol Oncol
LibGuides: Music: Guitar for New and Experienced Players: Beginners

Instructional books, CDs, and DVDs for Guitar in many styles, as well as songbooks and sheet music.
Audio for Virtual, Augmented and Mixed Realities: Proceedings of ICSA 2019 ; 5th International Conference on Spatial Audio ; September 26th to 28th, 2019, Ilmenau, Germany

The ICSA 2019 focuses on a multidisciplinary bringing together of developers, scientists, users, and content creators of and for spatial audio systems and services. A special focus is on audio for so-called virtual, augmented, and mixed realities.The fields of ICSA 2019 are: - Development and scientific investigation of technical systems and services for spatial audio recording, processing and reproduction / - Creation of content for reproduction via spatial audio systems and services / - Use and application of spatial audio systems and content presentation services / - Media impact of content and spatial audio systems and services from the point of view of media science. The ICSA 2019 is organized by VDT and TU Ilmenau with support of Fraunhofer Institute for Digital Media Technology IDMT.
한국어 초급 학습자의 말뭉치에 나타난 용언의 불규칙 오류 분석 연구

This paper aims to analyses the patterns of predicates’ irregular errors of Korean beginning learner’s Korean Learner’s Corpus which is constructed by the National Institute of Korean Language by vocabulary and irregularity. In many universities textbooks, irregular predicates use is based on the subject and suggested of relevant vocabulary, which is different from the frequency of irregular predicates use and error of the Korean beginning learners. When constructing a textbook, it is very essential to consider about necessary grammatical items and vocabulary that would be helpful to learn Korean language, as well as the difficulties of learners’ use and acquisition. Particularly, error type such as ‘ㅂ’-irregular predicates and ‘ㄹ’-elision predicates are most diverse in terms of irregularity errors patterns. In addition, other irregular errors were decrease or similar in level 2 compared to level 1, but in case of ‘르’-irregular predicates and ‘ㄹ’-elision predicates, it increased in level 2 compared to level 1. In spite of the high frequency of use, Korean beginning learner are not only confused by this rule, but also due to the difficulty of ‘ㄹ’ pronouncing. (Kyung Hee University)
Discovery Mechanism for QUIC-based, Non-transparent Proxy Services

Often an intermediate instance (such as a proxy server) is used toconnect to a web server or a communicating peer if a direct end-to-end IP connectivity is not possible or the proxy can provide a supportservice like, e.g., address anonymisation. To use a non- transparentproxy a client explicitly connects to it and requests forwarding tothe final target server. The client either knows the proxy address aspreconfigured in the application or can dynamically learn aboutavailable proxy services. This document describes different discoverymechanisms for non-transparent proxies that are either located in thelocal network, e.g. home or enterprise network, in the access network,or somewhere else on the Internet usually close to the target serveror even in the same network as the target server. This documentassumes that the non-transparent proxy server is connected via QUICand discusses potential discovery mechanisms for such a QUIC-based,non-transparent proxy.
Lost in Text. A Cross-Genre Analysis of Linguistic Phenomena within Text.

Moving from the assumption that formal, rather than content features, can be used to detect differences and similarities among textual genres and registers, this paper presents a new approach to linguistic profiling – a well-established methodological framework to study language variation – which is applied to detect significant variations within the internal structure of a text. We test this approach on the Italian language using a wide spectrum of linguistic features automatically extracted from parsed corpora representative of four main genres and two levels of complexity for each, and we show that it is possible to model the degree of stylistic variance within texts according to genre and language complexity.
It has been 11 years..ELEVEN YEARS since ...

It has been 11 years..ELEVEN YEARS since we published this document in 2008 https://www.literacyresearchassociation.org/assets/docs/Websitedocs/nrc_digital%20publication_ad%20hoc%20resolution%20dec%202008.pdf and still haven't moved away from a members only model. We
IANA Registration of Content-Type Header Field Parameter 'forwarded'

This document defines a new Content-Type header field parameter namedforwarded for message/rfc822 and message/global media types, andits registration with IANA.
Computational Ceramicology.

Field archeologists are called upon to identify potsherds, for which purpose they rely on their experience and on reference works. We have developed two complementary machine-learning tools to propose identifications based on images captured on site. One method relies on the shape of the fracture outline of a sherd; the other is based on decorative features. For the outline-identification tool, a novel deep-learning architecture was employed, one that integrates shape information from points along the inner and outer surfaces. The decoration classifier is based on relatively standard architectures used in image recognition. In both cases, training the classifiers required tackling challenges that arise when working with real-world archeological data: paucity of labeled data; extreme imbalance between instances of the different categories; and the need to avoid neglecting rare classes and to take note of minute distinguishing features of some classes. The scarcity of training data was overcome by using synthetically-produced virtual potsherds and by employing multiple data-augmentation techniques. A novel form of training loss allowed us to overcome the problems caused by under-populated classes and non-homogeneous distribution of discriminative features.
Assessing the Mediaenvironment of an Educational Institution as the Start of a Roadmap for the Development of Media Literacy

The article substantiates the use of criteria for assessing the mediaenvironment of an educational institution – the medialandscape, managment for mediaeducation, mediaculture of teachers. A system of indicators has been developed by which it is possible to quantify the development of the mediaenvironment of an educational institution and to develop a roadmap for the effective implementation of mediaeducation in the activities of an educational institution.
Academic writing in SL/FL Italian: a case study

This paper is based on the analysis of an academic text, written in Italian by a foreign student. It describes a didactic intervention based on the student’s abilities and competences. The proposed didactic intervention takes into account that in order to successfully complete a learning path, the foreign student has to develop cognitive competences for understanding fine-grained linguistic phenomena and aspects of textuality.
FORMING DIRECTION OF DEVELOPMENT AS UNIVERSITY 3.0 FOR REGIONAL INSTITUTE OF HIGHER EDUCATION

The article is devoted to problem of institute of higher education development as university 3.0. Into the frame of research performed analyses of new definitions connected with development of university innovation ecosystem and interaction of university with National Technology Initiative. University development road map into 3.0 direction and set of key performance indicators of its realization are created. Obtained results can be used into projecting of university innovation ecosystem.
CREATIVE THINKING USING METAPHORIC LANGUAGE  TO IMPROVE POETRY WRITING SKILLS

metaphoric language affect students in improving their poetry writing skills. By taking randomly 176 samples from a student population of 314, data were collected through 3 types of tests and were analyzed by a regression test. The results show that the ability to think creatively has an effect on improving the students' poetry writing skills by 72.9% while the ability to use metaphoric language has an effect of 7.30% on their poetry writing skills. The implications that these effects provide cognitive and practical benefits are also discussed. Keywords: Creative Thinking, Metaphoric Language, Poetry Writing Skills, Critical Thinking, Poetry
Semantic-constraint graph dual non-negative matrix factorization in text co-clustering

Co-clustering, an extension of one-sided clustering, refers to process of clustering data points and features simultaneously. During text clustering tasks, traditional one-sided clustering algorithms have encountered difficulties dealing with sparse problem. Instead, a co-clustering procedure, where data's common organizing form is a big matrix aggregated by data points, has proved more useful when faced with sparsity. Based on the traditional co-clustering approaches, a new model named SC-DNMF, which takes into account the semantic constraints between words, is proposed in this paper. Experiments on several datasets indicate that our proposal improves the clustering accuracy over traditional co-clustering models.
IMPLEMENTASI SISTEM INFORMASI MANAJEMEN KEUANGAN DAERAH BADAN PENGELOLA KEUANGAN DAN ASET DAERAH KABUPATEN BUNGO

The application of the SIMDA Financial application to the Bungo Regency Regional Financial and Asset Management Agency is based on SIMDA elements such as adequate internet network access, basic infrastructure and applications, all infrastructure in the form of Hardware, Software and Brainware is adequate as well as information management and processing organizations supporting organizations that are manage, provide and process information transactions and electronic documents that are sufficient so that the SIMDA Financial Application has produced financial statement information and other financial information with excellent quality relevance, excellent accuracy and very good timeliness as well.
An Observational Investigation of Reverse Engineers' Processes

Reverse engineering is a complex process essential to software-security tasks such as vulnerability discovery and malware analysis. Significant research and engineering effort has gone into developing tools to support reverse engineers. However, little work has been done to understand the way reverse engineers think when analyzing programs, leaving tool developers to make interface design decisions based only on intuition. This paper takes a first step toward a better understanding of reverse engineers' processes, with the goal of producing insights for improving interaction design for reverse engineering tools. We present the results of a semi-structured, observational interview study of reverse engineers (N=16). Each observation investigated the questions reverse engineers ask as they probe a program, how they answer these questions, and the decisions they make throughout the reverse engineering process. From the interview responses, we distill a model of the reverse engineering process, divided into three phases: overview, sub-component scanning, and focused experimentation. Each analysis phase's results feed the next as reverse engineers' mental representations become more concrete. We find that reverse engineers typically use static methods in the first two phases, but dynamic methods in the final phase, with experience playing large, but varying, roles in each phase. % and the role of experience varies between phases. Based on these results, we provide five interaction design guidelines for reverse engineering tools.
FCMLSM Segmentation of Micro-Vessels in Slight Defocused Microscopic Images

To address problems relating to microscopic micro-vessel images of living bodies, including poor vessel continuity, blurry boundaries between vessel edges and tissue and uneven field illuminance, and this paper put forward a fuzzy-clustering level-set segmentation algorithm. By this method, pre-treated micro-vessel images were segmented by the fuzzy c-means (FCM) clustering algorithm to obtain original contours of interesting areas in images. By the evolution equations of the improved level set function, accurate segmentation of microscopic micro-vessel images was realized. This method can effectively solve the problem of manual initialization of contours, avoid the sensitivity to initialization and improve the accuracy of level-set segmentation. The experiment results indicate that compared with traditional micro-vessel image segmentation algorithms, this algorithm is of high efficiency, good noise immunity and accurate image segmentation.
Quantization Networks.

Although deep neural networks are highly effective, their high computationaland memory costs severely challenge their applications on portable devices. Asa consequence, low-bit quantization, which converts a full-precision neuralnetwork into a low-bitwidth integer version, has been an active and promisingresearch topic. Existing methods formulate the low-bit quantization of networksas an approximation or optimization problem. Approximation-based methodsconfront the gradient mismatch problem, while optimization-based methods areonly suitable for quantizing weights and could introduce high computationalcost in the training stage. In this paper, we propose a novel perspective ofinterpreting and implementing neural network quantization by formulatinglow-bit quantization as a differentiable non-linear function (termedquantization function). The proposed quantization function can be learned in alossless and end-to-end manner and works for any weights and activations ofneural networks in a simple and uniform way. Extensive experiments on imageclassification and object detection tasks show that our quantization networksoutperform the state-of-the-art methods. We believe that the proposed methodwill shed new insights on the interpretation of neural network quantization.Our code is available athttps://github.com/aliyun/alibabacloud-quantization-networks.
Robots’ Vision Humanization Through Machine-Learning Based Artificial Visual Attention

If the main challenge of robotics during the industrial air of 19th century has consisted of automating repetitive tasks and the sophistication of these machines through digitization of these robots throughout the 20th century, the challenge of robotics in the current century will be to make cohabit humans and robots in the same living space. However, robots would not succeed in seamlessly integrate the humans’ universe without developing the ability of perceiving similarly to humans the environment that they are supposed to share with them. In such a context, fitting the skills of the natural vision is an appealing perspective for autonomous robotics dealing with and prospecting Human-Robot interaction. The main goal of the present article is to debate the plausibility and the reality of humanizing the robots behavior focusing the perception of the surrounding environment. An implementation of the developed concept on a real humanoid robot nourishes the presented results and the related discussions.
Studying Online and Offline Evaluation Measures: A Case Study Based on the NTCIR-14 OpenLiveQ-2 Task

We describe our participation in the NTCIR-14 OpenLiveQ-2 task and our post-submission investigations. For a given query and a set of questions with their answers, participants in the OpenLiveQ task were required to return a ranked list of questions that potentially match and satisfy the user’s query effectively. In this paper we focus on two main investigations: (i) Finding effective features which go beyond only-relevance for the task of ranking questions for a given query in Japanese language. (ii) Analyzing the nature and relationship of online and offline evaluation measures. We use the OpenLiveQ-2 dataset for our study. Our first investigation examines user log-based features (e.g number of views, question is solved) and content-based features (BM25 scores, LM scores). Overall, we find that log-based features reflecting the question’s popularity, freshness, etc dominate question ranking, rather than content-based features measuring query and question similarity. Our second investigation finds that the offline measures highly correlate among themselves, but that the correlation between different offline and online measures is quite low. We find that the low correlation between online and offline measures is also reflected in discrepancies between the systems’ rankings for the OpenLiveQ-2 task, although this depends on the nature and type of the evaluation measures.
Web Hot Topic Picture Crawler

For the problem of high repetition rate of image resources collected by general theme crawler, a theme image crawler system is designed to reduce image similarity. The main contents of the design include the main function modules of the crawler, the workflow of the system and the implementation method of the key modules. The difference hash algorithm is used to solve the problem of image similarity effectively. Combined with Web text cosine correlation algorithm and link PageRank algorithm, the paper comprehensively evaluates the relevance between Web resources and topics. The experimental results show that the subject image crawler can effectively reduce the similarity of the collected images and improve the efficiency of crawler image resources acquisition.
A Configurable and Versatile Architecture for Low Power, Energy Efficient Hardware Acceleration of Convolutional Neural Networks

This paper presents a configurable, versatile and flexible architecture for hardware acceleration of convolutional neural networks (CNNs) that is based on storing and accumulating entire feature maps in local memory inside the accelerator. This has been done while aiming to be able to process any type of CNN while consuming as low power as possible and achieving the highest possible energy efficiency. Energy efficiency refers to the number of operations per unit energy (measured in Multiply-Accumulate operations per unit energy, MACs/s/W or MACs/J). Mainly, two different versions of the architecture have been synthesized and tested using different configurations of hardware parameters. It performs well when compared to the state-of-the-art, achieving an improved energy efficiency of over a factor 5 for select CNN layers. The most energy efficient configuration achieves 175 GMACs/s/W, while consuming 2.3 mW of power and occupying 585 KGEs (Kilo Gate Equivalents) of area at 1V supply voltage and a clock frequency of 100MHz.
Tourism Potential of Public Libraries in India

Libraries are usually centers of cultural life especially in small communities and, in tourism; they could become places of cultural interaction between the culture of visitors and the culture of the local population. By storing spiritual and intellectual works, they testify to the cultural heritage of places and allow access to various works of art, promoting awareness of cultural identity. On the other hand, local communities, through libraries, gain insight into cultural achievements at a global level. Beside their collections, libraries also have a wide range of other resources that could be attractive to tourists.
Artificial Intelligence Vs Emotional Intelligence

In the present age, the development of PC innovation is arriving at an unconceivable stature. Imperatively it involves the lives of individuals so as to draw in and make them feel insane. Bit by bit, Individuals chooses to remain inactive and begin to rely upon the advantages of innovation. Computerized reasoning, one of the developing advancements, in day today life utilized for the creation of hard product, for example, Cell phone, PCs that comprises of simple to utilize applications, for example, Facebook, errand person and email includes different misleadingly canny highlights which lessens the anxiety of the customer hood and causes them interface, convey and associate at an a lot quicker pace. Oh dear, this assistant has gradually driven the clients into the universe of dependence loaded up with a string of mental and mental obliges. People are the unrivaled predominant formation of the nature which can't be Substituted or imitated. In the contemporary world innovation is in the dismal of its progressions to supplant the humanity. The principal Man-made reasoning humanoid Sophia, made on February 14, 2016 by the Hong Kong based organization Hanson Mechanical autonomy in a turned way could be seen as an up and coming risk to the very presence of humankind. All the invented components are carried to reality with the assistance of the present innovation. Cyberpunk Sci-fi conjectures the advancement of Man-made brainpower to the most extreme level. At one Point it started to overwhelm the people by taking the power and control in its grasp. This Exploration Paper basically examinations the Limit and Intensity of Man-made brainpower over human power and its outcomes.