Reviewerly/exHarmony huggingface dataset:
Linked Data and Musical Information to Improvement the Cultural and Heritage Knowledge Management

Knowledge management plays a crucial role in initiatives that promotes the discovery and sharing of cultural and heritage informational resources from diverse and autonomous organizations and initiatives. Information in this domain is heterogeneous, distributed, multi-lingual, comes in unstructured formats and large quantities, is strongly contextualized by time and place is created collaboratively. These challenges can be undertaken using semantic technologies. Semantic Web approach and Linked Data technologies are a catalyst for cross-domain and cross-organizational semantic data interoperability and data integration. In this regard, this work will look at the interaction between knowledge management and linked open data within the context of cultural and heritage data with a particular focus on the concept of music data. This work will discuss, among other things, how Semantic Knowledge Graphs based on linked data can contribute to enhancing knowledge management and increase productivity, in actions related with cultural data enrichment, data exploration, knowledge discovery, cultural data reuse, and data visualization. By representing information using data models and open semantic standards, data integration and reasoning can be applied to the cultural data in a well-defined way.
중국인 학습자를 위한 과제 기반 플립 러닝 한국어 교육 방안―‘수업 구성 원리’와 ‘교사 역할’을 중심으로

Recently, there have been many studies on the methods and effectiveness of the Flipped Learning approach in education. KFL(Korean as a Foreign Language) has been also interested in the Flipped Learning with high expectations. This study has suggested that the Flipped Learning focused on task-activity could flip many parts of KFL in China. Above all, it is necessary to establish the ‘Principles of Instruction’ and the ‘teacher role’ for the Flipped Learning system so that it can be a sustainable Teaching-Learning method in KFL. This study emphasizes the role of Flipped Learning that could contribute to the Task-based Language Teaching, and explains the key components and principles for instruction. In addition, This suggests the ‘teacher role’ that should be flipped under a new system in KFL. This study is meaningful to KFL in China because it provides the effective teaching guideline for the Flipped Learning focused on Task-based Language Teaching.
Criteria to Validate Count Data Model Selection

Since, in statistics, itHomburg, Annika is a key task to pick the best out of a set of models to describe a given data set, the verification of this choice should be done with certain care. Commonly, model selection is done based on an information criterion, followed by subsequent checks of model adequacy. In this paper, further, more specific criteria for counts are proposed to validate the selected model. The procedure is exemplified by a count data application.
Donegalite: an exceptionally obscure synonym for wollastonite coined by Dublin-based chemist and mineral collector Charles R.C. Tichborne (~1838–1905)

A mineral specimen was found in the National Museum of Ireland - Natural History (NMINH) that was catalogued as 'donegalite'. This is not a mineral name approved by the International Mineralogical Association's Commission on New Minerals, Nomenclature and Classification: it is an obsolete name. However, the name does not appear in the encyclopaedic Glossary of Obsolete Mineral Names (Bayliss 2000), a referenced list of about 30,000 discredited mineral names. Internet searches conducted up until 2017 on the mineral name ‘donegalite’ produced no substantive hits. The serendipitous find of an uncatalogued powder X-ray diffraction trace dating from 1983 in NMINH archives shows that ‘donegalite’ is the common mineral wollastonite. The name appears on a rare printed mineral label from Charles Robert Clarke Tichborne (~1838–1905), an English-born, Dublin-based analytical chemist. Tichborne appears to have coined the name for use in his private mineral collection, hence its extreme obscurity.
An Adaptive Search Algorithm for Detecting Respiratory Artifacts Using a Wireless Passive Wearable Device

With the use of a wireless, wearable, passive knitted smart fabric device as a strain gauge sensor, the proposed algorithm can estimate biomedical feedback such as respiratory activity. Variations in physical properties of Radio Frequency Identification (RFID) signals can be used to wirelessly detect physiological processes and states. However, it is typical for ambient noise artifacts to appear in the RFID signal making it difficult to identify physiological processes. This paper introduces a new technique for finding these repetitive physiological signals and identifying them into two states, active and inactive, using k-means clustering. The algorithm detects these biomedical events without the need to completely remove the noise components using a semi-unsupervised approach, and with these results, predict the next biomedical event using these classification results. This approach enables real-time noninvasive monitoring for use with actuating medical devices for therapy. Using this approach, the algorithm predicts the onset of respiratory activity in a simulated environment within approximately one second.
INNOVATIVE DEVICES FOR LOCAL HEATING BASED ON METALLIZED CONDUCTIVE FILAMENTS TO MAINTAIN THE TEMPERATURE OF THE HUMAN BODY AT LOW TEMPERATURES, INCLUDING EMERGENCY SITUATIONS

Relevance . Maintaining the optimal temperature of the human body, as well as its timely warming at low ambient temperatures is one of the main tasks within first medical care. Intention . To present specifications of thermal products developed at Institute of Engineering Physics (Serpukhov city, Moscow region). Methodology . Innovative products for local heating based on metallized conductive filaments to maintain the temperature of the human body at low temperatures, including severe diseases and emergency situations. Results and Discussion . Specifications of thermal bags and blankets equipped with autonomous electric heating system and also autonomous heating system for infusion solutions are described. Similar characteristics of the products are as follows: high reliability, operational convenience and safety; materials that withstand repeated sanitary hygienic treatment without induction of static electricity; regulation of ambient temperature for heating with visual indication of operation; domestic materials, equipment and accessories; absolute fire safety, moisture and frost resistance of materials that do not emit toxic substances; power supply from rechargeable batteries; the battery charge time from the charger ≤ 7 1 / 2 hours. According to the pilot studies, thermal devices for autonomous heating of severely ill and injured are highly effective. Conclusion . The conclusion is made on the appropriateness and effectiveness of thermal devices for first aid and medical care at low temperatures for seriously ill and emergency affected employees of the Russian EMERCOM and personnel of emergency and disaster medicine teams of Russia.
Citra Perempuan Dalam Film Marlina Si Pembunuh Dalam Empat Babak: Kajian Sastra Feminis dan Relevansinya Sebagai Bahan Ajar Sastra di SMA

This study aims to describe (1) the structure of the film Marlina Si Pembunuh Dalam Empat Babak by Mouly Surya, (2) the image of women contained in the film Marlina Si Pembunuh Dalam Empat Babak by Mouly Surya, (3) the film Relevance of Marlina Si Pembunuh Dalam Empat Babak as literary teaching materials in high school. This type of research will use qualitative descriptive research, the strategy used is a embedded case study strategy (embedded and case studies). Data mining techniques used in this study used literature. The validity of the data to be used is triangulation of data or sources. The data analysis technique used is the semiotic model reading method, namely heuristic and hermeneutic reading. The results of this study are: (1) The structure of the film Marlina Si Pembunuh Dalam Empat Babak is: the theme is struggle, with forward plot, figures of Marlina, Novi, Mark, Frans, Mama, and Typhoon, and setting; setting Sumba, setting free time in the film 3 days, and social sausages on Sumba and not cinematic (mise-en scenes, cinematography, editing, and sound). (2) The image of women in the film Marlina Si Pembunuh Dalam Empat Babak by using women's consent (a) The image of women in the domestic sector: the image of women as wives, mothers, and children and (b) The image of women in the public sector: the image of women in the religious sector, economics, education and law. (3) The relevance of the results of research as teaching material in special high school class XI with KD: 3.1, 3.3, and 4.1, and in accordance with the advice of literary learning according to three aspects, namely (a) language, (b) psychology, and (c) closing cultural background.
The Method of Mobile Robot Visual Contaminant Detection Based on Five-frame Difference and Visual Background Extractor

Visual contamination of mobile robots can easily affect the information acquisition and function realization of the robot. And the video sequence detection of objects is susceptible to various interferences．In this paper, a contaminant detection method based on five-frame difference and visual background extractor (ViBe) is proposed to detect the contaminant. At the same time, this paper proposes a denoising method for small-area and multi-regional contaminants. Moreover, feasibility of the method was verified by experiments on the automatic detection of contaminants for gun-type camera.
Corporate Basics of Preparing Students for Professional Pedagogical Activity

The article deals with advanced ideas and experience in the basics of preparing students for professional pedagogical activity. The motives underlying the professional orientation of students are formulated.
Image-Based Copy-Paste Tamper Detection Technology Based on Improved Surf

Abstract Aiming at the problem that the existing copy-paste tamper detection algorithm has poor detection effect on the image area, and the speed is slow, an image region copy-paste tampering detection algorithm based on improved SURF is proposed. The detected image extracts feature points by improving the fast Hessian matrix, and uses k-g2NN method to match the feature points, then estimates the affine transformation parameters between the matching points, and combines the R-RANSAC and SPRT to eliminate the mismatch and finally obtain the copy-paste area. The experimental results show that the proposed algorithm can accurately locate the image copy-paste tampering region, and has strong robustness to Gaussian blur, rotation and scaling operations, and the detection speed is greatly improved.
Smart System for the Retrieval of Digital Educational Content

The education sector is a major generator, consumer, and depositary of educational content. Thanks to technological advances, today’s educators and learners have ubiquitous and on-demand access to information. Technology has made it possible for us to communicate and share information effortlessly from anywhere in the world. However, the availability of vast amounts of heterogeneous educational content will not be useful unless we search, retrieve and integrate it, creating interoperable educational environments. The current challenges to integrating educational content arise from its distribution over several repositories. This research proposes AIREH (architecture for intelligent retrieval of educational content from heterogeneous environments), for the retrieval of digital content through agent-based virtual organizations. This flexible architecture facilitates the search for and integration of heterogeneous content through an information retrieval model that involves both case-based reasoning and federated search. Moreover, AIREH is based on an adaptive organization model for distributed planning, thanks to which, it manages open systems flexibly, dynamically, and effectively. The conducted case study gives very promising results and demonstrates the advantages of using agent-based virtual organizations in the retrieval of labeled digital content. The proposed model is flexible, customizable, comprehensive and efficient.
Anti-Occlusion Correlation Filter Tracking Based on Multi-Peaks Response

Aiming at the problem that the target occlusion and target loss in the target tracking process can not be solved by most tracking algorithms, anti-occlusion correlation filter tracking based on multi-peaks response is proposed. When the target is occluded, the response of the multi-peaks and the highest peaks exceeds the set thresholds, and the two-dimensional matrix of the Gaussian distribution is used to perform a point multiplication operation with the confidence map to obtain a new confidence map, and the current frame model update is stopped. Experiments show that compared with other algorithms, the algorithm has a significant improvement in tracking accuracy and speed when dealing with video sequences whose targets are occluded.
LibGuides: Media and Humanities: Library essentials

A collection of information resources and guidance for Journalism, Media and Humanities students
End-to-end Convolutional Neural Networks for Intent Detection

Convolutional Neural Networks (CNNs) have been applied to various machine learn-ing tasks, such as computer vision, speech technologies and machine translation. One of the main advantages of CNNs is the representation learning capability from high-dimensional data. End-to-end CNN models have been massively explored in computer vision domain, and this approach has also been attempted in other domains as well. In this paper, a novel end-to-end CNN architecture with residual connections is presented for intent detection, which is one of the main goals for building a spoken language understanding (SLU) system. Experiments on two datasets (ATIS and Snips) were carried out. The results demonstrate that the proposed model outperforms previous solutions.
Layout Analysis of Tibetan Historical Documents Based on Deep Learning

Tibetan historical document are vast, second in quantity only to Chinese historical document in China, and they are considered a treasure of Chinese culture. The digital protection and utilization of Tibetan literature resources is a hot topic in the field of literature digitization. Layout analysis is an important basic step in the digitization of historical document. Tibetan historical document have a complex layout, a variety of graphic and text forms, and diverse backgrounds, all of which have an impact on the layout analysis. We design a method combining deep learning text line detection with rule-based layout analysis to realize layout analysis of Tibetan historical document. This method first conducts text detection through deep learning, then constructs text lines, and finally segments horizontal text regions and vertical text regions by rule analysis to realize the segmentation of the layout. Our self-built datasets with rich sample types show that the proposed method can achieve detection of a variety of layouts with high accuracy and provide reliable text regions for subsequent text recognition, thus offering strong application value.
Time/Frequency High-Dimensional Entanglement via Engineered Parametric Downconversion

Photonic quantum technologies rely on the deterministic preparation of quantum states encoded in single-photons degrees of freedom. While polarisation, orbital angular momentum and path have been routinely used since the early days of photonic quantum information, the last few years have seen an increasing interest in the frequency-time encoding [1, 2]. Indeed, the possibility of generating high-dimensional states, together with the compatibility of frequency modes and standard optical components, makes the spectral degree of freedom suitable for enhancing the efficiency of quantum protocols, spanning from quantum communication to optical quantum computation.
[Application of U-shaped convolutional neural network in auto segmentation and reconstruction of 3D prostate model in laparoscopic prostatectomy navigation].

Objective To investigate the efficacy of intraoperative cognitive navigation on laparoscopic radical prostatectomy using 3D prostatic models created by U-shaped convolutional neural network (U-net) and reconstructed through Medical Image Interaction Tool Kit (MITK) platform. Methods A total of 5 000 pieces of prostate cancer magnetic resonance (MR) imaging discovery sets with manual annotations were used to train a modified U-net, and a set of clinically demand-oriented, stable and efficient full convolutional neural network algorithm was constructed. The MR images were cropped and segmented automatically by using modified U-net, and the segmentation data were automatically reconstructed using MITK platform according to our own protocols. The modeling data were output as STL format, and the prostate models were simultaneously displayed on an android tablet during the operation to help achieving cognitive navigation. Results Based on original U-net architecture, we established a modified U-net from a 201-case MR imaging training set. The network performance was tested and compared with human segmentations and other segmentation networks by using one certain testing data set. Auto segmentation of multi-structures (such as prostate, prostate tumors, seminal vesicles, rectus, neurovascular bundles and dorsal venous complex) were successfully achieved. Secondary automatic 3D reconstruction had been carried out through MITK platform. During the surgery, 3D models of prostatic area were simultaneously displayed on an android tablet, and the cognitive navigation was successfully achieved. Intra-operation organ visualization demonstrated the structural relationships among the key structures in great detail and the degree of tumor invasion was visualized directly. Conclusion The modified U-net was able to achieve automatic segmentations of important structures of prostate area. Secondary 3D model reconstruction and demonstration could provide intraoperative visualization of vital structures of prostate area, which could help achieve cognitive fusion navigation for surgeons. The application of these techniques could finally reduce positive surgical margin rates, and may improve the efficacy and oncological outcomes of laparoscopic prostatectomy.
Joseph R. Skeen Library & OSL: Interlibrary Loan (ILL): Policies

Learn how to use the Skeen Library Interlibrary Loan system! Skeen Interlibrary loan policies for patrons
Portrait matching based on sift features

Abstract Image matching refers to identifying homonymous points between two or more images by a certain matching algorithm. For example, in two-dimensional image matching, by comparing the correlation coefficients of the windows of the same size in the target image and the search image, the central point of the window corresponding to the maximum correlation coefficient in the search area is taken as the key point. In this paper, SIFT operator is used for image matching. The experimental results show that the method can effectively match the target.
Role of IoT in healthcare using smart textiles

Smart-Textile is an upcoming and latest technology that combines research in textile materials and wireless sensor/actuator networks. This is primarily in the context of human body monitoring with statistical methods for the data analysis and corresponding treatment. The scope of IoT in Healthcare has a diverse range of enhancements with Textile-based Wearable System Technology, Unobtrusive Biosensors, and a Cloud Computing Architectural Framework amongst other technologies. The advancement would propel the HealthCare Industry to unparalleled heights in terms of efficiency and Patient Comfort. This ground-breaking technology of smart textiles embedded with sensors for continuous patient monitoring will revolutionize the healthcare industry. The real-time exchange of data, seamlessly and proactively predict, diagnosis and provide remedies. The framework in the study reveals aptly the so-called Internet of Medical Things (IoMT) which opens a whole new avenue for the Patient-Healthcare provider Interface (PHI) and Wearable Health Technology (WHT).
A Characterization of $q$-binomials and its Application to Coding Theory

We present new applications on $q$-binomials, also known as Gaussian binomial coefficients. Our main theorems determine cardinalities of certain error-correcting codes based on Varshamov-Tenengolts codes and prove a curious phenomenon relating to deletion sphere for specific cases.
Resource-Based Modeling of Applications on Multi-cores Using Adapted Tilman Model

With the advancement in technology, computing needs have been continuously increasing and are currently being met using multicore systems. Eventually, this demands to work around the prevailing challenges to meet to deliver high performance. The growing potential of these systems and the criticality of the constrained resources exacerbate their performance. Various application programs have diverse resource needs, which form the limiting conditions for their performance. Inefficient utilization of these resources leads to contention when shared between various application programs. To model the effect of limiting resources, we propose adapted Tilman model of resource competition. The work presents solo modeling of application program behavior toward limited resources that are shared LLC and DRAM bandwidth utilization.
Fast correction method for the fringe order error in multi-frequency phase unwrapping algorithm

Multi-frequency phase unwrapping algorithms (MFPUAs) are among the most robust and efficient phase unwrapping methods, and hence widely adopted in various optical measurement techniques, such as fringe projection profilometry, interferometry, and so on. However, if they are not well designed, or the measurement condition is poor, fringe order error (FOE) will be triggered during the phase unwrapping, which will result in phase unwrapping error. This paper is for coping with FOE without consuming additional fringe patterns for phase unwrapping. Firstly, a parameter called fringe order inaccuracy (FOI) which is applicable to the representative MFPUAs is defined. Secondly, FOI is employed to help quantify the possibility of the occurrence of FOE. Lastly, a fast FOE correction method is proposed with aid of FOI. Experiments validate that the proposed method contributes to suppressing FOE while keeps the efficiency of MFPUA.
Shakespeare’s Early Gothic Hamlet

This article proposes that Q1 Hamlet is best understood as an early Gothic tragedy. It connects Catherine Belsey’s work on Shakespeare’s indebtedness to ‘old wives’ tales’ and ‘winter’s tales’ about ghosts with Terri Bourus’s evidence of Q1’s connections to Stratford-upon-Avon, the 1580s, and the beginnings of Shakespeare’s London career. It conducts a systematic lexical investigation of Q1’s Scene 14 (not present in Q2 or F), showing that the scene’s language is indisputably Shakespearian. It connects the dramaturgy of Q1 to the dramaturgy of Titus Andronicus, particularly in terms of issues about the staging of violence, previously explored by Stanley Wells. It also shows that Titus and Q1 Hamlet share an unusual interest in the barbarity and vengefulness of Gothic Europe (including Denmark and Norway).
Operating and Monitoring the Release

Once our software changes are deployed and running in production, we have just begun. Consider our model for DevOps that was introduced at the beginning of this book in Figure 10-1. We must have a strategy for operations. Then we must execute that strategy consistently and measure to ensure what we expect is happening. Our DevOps cycle around the outside calls out learning as a feedback into planning for future changes. Through operating the software with real customers using it, we can