Reviewerly/exHarmony huggingface dataset:
Wayne Shorter

Wayne Shorter remains one of the most significant jazz composers of the 1960s, with challenging compositions noted for their harmonic and formal ambiguity. “El Toro” (Art Blakey, <italic>Freedom Rider</italic>) uses a major third axis progression in a 16-bar form, but the melodic structure cuts against an 8 + 8-bar regularity; “Virgo” (<italic>Night Dreamer</italic>) relies on a 29-bar ABAC form with irregular phrase lengths. A comparison of “Penelope” (<italic>Etc</italic>) and “El Gaucho” (<italic>Adam’s Apple</italic>) shows that they begin with a nearly identical melody, but Shorter subjects each to radically different harmonic environments. “Pinocchio” (Miles Davis, <italic>Nefertiti</italic>) is an 18-bar composition. Its major third axis uses postbop substitution strategies that echo more-conventional progressions. “Face of the Deep” (<italic>The All-Seeing Eye</italic>) is one of Shorter’s more exploratory compositions: it links to the jazz avant-garde, and its scoring for three horns reveals an expanded vocabulary of upper structure harmonies.
The Poisson Point Process

Poisson point processes can be used as a cornerstone in the construction of very different stochastic objects such as, for example, infinitely divisible distributions, Markov processes with complex dynamics, objects of stochastic geometry and so forth.
Full Issue

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 56, Issue 10 p. I-I Full Issue Full Issue First published: 02 December 2019 https://doi.org/10.1111/j.1467-6346.2019.09179.xAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Volume56, Issue10December 2019Pages I-I RelatedInformation
To the problem of the spatial field paradigm research in education

The article is devoted to the analysis of key problems and development trends of modern teacher education. The author systematizes and interprets these phenomena, based on the results of the All-Russian Forum «Modern Development of Pedagogical Education» (Grozny, September 28- 2 9, 2019) and the Scientifc and Educational Forum «Russia - China: New Frontiers and Prospects for Humanitarian Cooperation» (Moscow, RAO, October 17- 1 8, 2019). Several research focuses were highlighted, including: problems of state policy in education (continuity, conceptuality, etc.); theoretical and methodological problems of project management; problems of internal and external cooperation; problems of management and conceptualization of innovative processes and problems of anthropology of education. As one of the possible tools for a meaningful discussion and solution of all these problems, the humanitarian methodology and the «spatial-feld approach» (paradigm) of the interpretation of educational phenomena emerging in its framework, which is consistent with the relevant ideas of K. Levin (psychology), P. Bourdieu (sociology), are considered) and R. Tom (linguistics). In conclusion of the article, the author offers some strategic guidelines for research in each of these areas.
Benefit Plan Cybersecurity Considerations

The U.S. has no comprehensive national law governing cybersecurity and no uniform framework for measuring the effectiveness of protections, though retirement plan record keepers maintain the personally identifiable information on millions of workers, collecting names, birth dates, social security numbers, and beneficiaries. Plan sponsors frequently engage consultants and attorneys to help them secure sensitive data, but more work is necessary to engage a larger discussion around this issue. The SPARK Institute has outlined a flexible approach for an independent third-party reporting of cyber security capabilities with several key control objectives.
Recent Developments of HIP Equipment in JAPAN

Recent Developments of HIP Equipment in JAPAN Megumi Kono, Katsumi Watanabe Abstract. Toll services have been increased recently in the Japanese HIP market. This trend leads to larger HIP equipment and shorter cycle times for productivity improvement. In addition, longer life cycle of pressure vessels are demanded to reduce the costs in conformance with the […]
PENERAPAN PEMBELAJARAN ELEARNING UNTUK MENINGKATKAN PEMAHAMAN MAHASISWA TERHADAP MATA KULIAH PERENCANAAN PEMBELAJARAN DI PGSD FKIP UNSYIAH

In accordance with the demands of technological and information development lecturers arerequired to make innovation in learning. One of the innovation that lecturers can apply intheir teaching is learning through the use of e-learning. The approach in this study usedqualitative research with the research subjects of the Unsyiah FKIP PGSD students whoattended the learning planning course. The technique of data collection is done throughobservation and interviews. The results of the study show that students can understand thematerial well through e-learning. With various forms of material used such as modules, PPTand video can help students understand the material of each topic. The conclusions in thisstudy through the use of e-learning can improve students' understanding of learning planningcourses. This can be seen from the scores of the assignments and the quiz that is done oneach topic gets good grades.
Smart Gate: Intelligent Security System Based on Face Recognition

Features of Human face is one of the unique biometrics used for identifying and recognizing humans. This makes face recognition system an integral component of numerous applications like identity verification of personnel at gates in many organizations, for controlled access of confidential resources, recognizing intruders by nationwide defense institutions, and such many more. Due to this the unavoidable need of face recognition system, practitioners and researchers are putting their continuous efforts to rectify and optimize the face recognition system for different perspectives in terms of accuracy, time, and storage. The techniques are also optimized for face captured at different degree of orientation, change of facial expression with time, lighting condition, with and without eyeglass and other props, but as isolated solutions. The main aim of the paper is to propose a system that can be installed at any door or gate which would operate based on integrated face recognition. The major contribution of this paper is twofold: i) An integrated face recognition solution optimized for recognizing multiple people faces captured at different orientations and even wearing eyeglasses of different shapes, sizes and materials ii) Smart Gate system being activated upon successful recognition of all faces captured simultaneously.
Homomorphic Encryption

Homomorphic encryption (HE) represents an encryption technique that supports computations over encrypted data, without the need for decryption while computing. It is mandatory that the result of the computations applied on plain data be the same as the decryption of the result achieved by applying the same computations but over the encrypted data. These types of encryption schemes have great potential, because third parties may compute functions (and therefore apply algorithms) over the encrypted data, without having access to the plain data. Thus, the data is processed, while its privacy and security are ensured. For example, you are on a trip and you want to search for nearby restaurants. This simple search may reveal information about you, such as which town you are in and the time of your search. If the search engine uses a homomorphic encryption scheme, then no information about you is visible to others, nor are the search results you receive. Important areas in which homomorphic encryption may be used are the financial/business sector, healthcare, and other domains that work with sensitive data.
Modifikasi Skema Teknik Tanam Padi dan Bajak Sawah Berbasis Square Transposition 64-bit

Cryptography is a study discussing mathematic technics that related to information security aspects such as secrecy, data integrity, and authenticity. Cryptography is also a method to secure data or information in the form of a password that makes it hard to understand the meaning. This research discusses how to modify a scheme while looking for random points using different pickup points and income points. While looking for the random point in the modified scheme research using the rice planting and field plow techniques, it has three testing processes which were runtest, monobit, and blockbit tests. This research used square transpositions 64-bit with the size 8x8 and it got a high result with p-value 7.32395E-10, p-value monobit 1.00000000 and p-value blockbit 1 that showed non-random result with the smallest p-value was 0.011662392 with p-value monobit 1.00000000 and the p-value blockbit 0.99990476 that made thisresearch got a random result.
An Improved Size Invariant (n, n) Extended Visual Cryptography Scheme

In this paper, the authors have presented a (n, n) extended visual cryptography scheme where n numbers of meaningful shares furnish a visually secret message. Initially they have converted a grayscale image into binary image using dithering method. Afterwards, they have incorporated pixel's eight neighboring connectivity property of secret image during formation of meaningful shares. The scheme is able to generate the shares without extending its size. This approach has enhanced the visual quality of the recovered secret image from n numbers of shares. The scheme has been tested with some images and satisfactory results are achieved. The scheme has improved the contrast of the recovered secret image than a related (n, n) extended visual cryptography scheme.
4th Biennial International ISCSGCON 2021, AIIMS Raipur/

Background: Recently the idea of "Orthobiologics" leads to development of less invasive procedures and accelerated treatments which enhances functional recovery of musculoskeletal disorders.The desired therapeutic effect of autologous platelet rich plasma is facilitated by the ability of IL-1-Ra to limit the destructive inflammatory intra-articular (IA) actions of IL-1β.Objectives: To evaluate the efficacy and functional outcome of homologous platelet lysate to reduce pain, improve joint function and enhance quality of life in patients with early knee osteoarthritis and to investigate the advantages and disadvantages of homologous platelet lysate.Materials and Methods: A total of 40 cases of early knee osteoarthritis were given homologous platelet lysate.Each patient has been given ultrasound guided homologous platelet lysate on day 0, at the end of 4 weeks and 8 weeks and all the patients were followed for up to one year.Treatment outcome measures were assessed at each visit using VAS and WOMAC scores.Results: The short-term pain relief observed in both groups are robust in nature and are due to the anti-inflammatory effects of growth factors present in platelets.The long-term pain relief is attributed by improving joint homeostasis and quality of cartilage.The study demonstrated robust improvements in mean outcome in VAS and WOMAC scores &also demonstrated good treatment effects in 83% cases at 12 months post-injection.No adverse reactions like swelling, acute pain or infection were noted in the follow up period. Conclusion:Homologous platelet lysate has the potential to offer chondroprotective and molecular approach in treating pain and functionality in patients with early knee osteoarthritis.
Towards exploring adaptive and associatively reactive answer strategies to creativity test queries

<ns7:p>This poster presents an initial set of observations on different strategies of solving a creativity test under difficult conditions. Human participants show a propensity to answer with a stronger associate of one or two of the query items, while less frequently responding with a weaker but more inclusive associate of all three. Additionally, solvers sometimes responded with answers that held functional relations to the query item(s), even when instructed to provide a compound solution. These strategies of falling back on semantic or strongly occurring associates are explored, together with some of their implications on the design of adaptive mechanisms for cognitive systems.</ns7:p>
Entanglement-Based Distributed Quantum Sensing Enhanced by Quantum Relays

We show that noiseless linear amplifiers can serve as quantum relays to overcome entanglement distribution loss for entangled quantum sensors to outperform sensors supplied with the optimum local quantum resources.
Organizational Health: the Role of Technology Disruption and Competency Adequacy in Jordanian Constrcution Sector

This study aimed to analyzethe mediating impact of competence adequacy on organizational health and technology disruption. Leading construction firms in Jordan participated in this quantitative study and he results revealed significant positive effects of competence adequacy, on organisational health. These findingsprove to be an important contribution and implications to both practitioners and policy makers. Moreover, advantageous insights on how CA, TD can enhance the overall organizational health is also provided by this study. Findings and contributions of the study are as follows. Firstly, Jordanian construction firms will get more insight on the importance of institutionalizing competence building in their establishments by increasing awareness in managers. Additionally, anticipating environmental changes like technology disruption are also highlighted by the findings which guide organisations to achieve a sustainable edge over competitors at the marketplace and for future survival.
Research Difficulties and Possible Green Technology Uses in Cloud Computing

Clouds technology has sparked a great deal of curiosity and competition in the information technology business. As a scaled service distribution platform in the domain of applications computing, it has achieved widespread use. Its technical foundations comprise service-oriented architectures and virtualisation of software and hardware, among other things. The idea is for internet platform users to share their capabilities, cloud collaborators, and cloud providers to create a more efficient source restraint in the clouds. The technologies is confronted with a number of significant challenges, and the current research focuses on the technical problems that arise during the development and delivery of clouds, as well as the ramifications of these concerns for organizations and customers. Cloud computing initiatives are organized according to their technical aspects, and we cover related technologies; breakthroughs in the introduction of procedures, interactions, and norms; methodologies for modeling and establishing clouds; and viability, experimenting, and the prospective that is arising from cloud computing. Clouds technology is a significant step forward in the direction of green computing, which is an environmentally viable eternal computing with a very promising future.
Near Out-of-Distribution Detection for Low-Resolution Radar Micro-doppler Signatures

Near out-of-distribution detection (OODD) aims at discriminating semantically similar data points without the supervision required for classification. This paper puts forward an OODD use case for radar targets detection extensible to other kinds of sensors and detection scenarios. We emphasize the relevance of OODD and its specific supervision requirements for the detection of a multimodal, diverse targets class among other similar radar targets and clutter in real-life critical systems. We propose a comparison of deep and non-deep OODD methods on simulated low-resolution pulse radar micro-doppler signatures, considering both a spectral and a covariance matrix input representation. The covariance representation aims at estimating whether dedicated second-order processing is appropriate to discriminate signatures. The potential contributions of labeled anomalies in training, self-supervised learning, contrastive learning insights and innovative training losses are discussed, and the impact of training set contamination caused by mislabelling is investigated.
Application of computer modeling in massage chair design

Taking the massage chair for the elderly as an example, the application of computer 3D modeling technology is studied.In the early stage of design, we analyzed the current situation of computer modeling technology and the development trend of massage chair industry, found the market gap of massage chair and the transformation demand of massage chair, discussed the application efficiency of computer 3D modeling technology in the practice of massage chair design, and made it clear that computer modeling can effectively improve the efficiency and quality of product design, and there is still a lot of research space in the product design industry.
Introduction

This handbook intends to offer a comprehensive and authoritative overview of the human rights implications of emerging technologies in the fields of life sciences and information and communication technologies (ICT). To this end, the volume brings together leading experts whose expertise encompasses several disciplinary domains (law, ethics, technology, basic science, medicine, business etc.) with the purpose of gathering extensive multidisciplinary knowledge about the evolutive transformation of the human rights framework in response to technological innovation.
ARmed question answering system

Summary Question answering, retrieving an exact answer to a question posed in natural language, is an issue which has widely been studied in the open domain over the last decades. This, however, remains a real challenge in the medical domain as most existing systems only support a limited amount of question and answer types. The problem with proposed methods for Arabic language in the medical domain is that there is often a conflict between the extracted answer and user's requirements. This conflict is related to ambiguity. Nevertheless, the method we propose has successfully tackled this problem. Thus, in this article, we introduce ARmed, a system for automatically answering medical questions for Arabic language. ARmed consists of corpora study, pre‐processing, question analysis, documents/passages retrieval, and answer extraction. Compared with the previous studies, ARmed has the potential to handle a large number of questions and answer types. The experimental results show that ARmed achieves interesting results.
Image Captioning from Wikipedia for Multi-Language using Deep Learning Models

With the advancement in deep learning, the consolidation of text classification and image processing has agitated enormous scrutiny in the past years.Captioning images are advanced research mainly in the field of computer vision.Identification of relevant items, their properties, and their connection in images is required for image captioning.This image captioning is a complex and challenging task, several developments are done in this field by researchers.But now, Technology can develop a model that can bring out the closest text or captions explaining an image because of the advancement in deep learning methodologies and the enormous amounts of data that is available.In the beginning, it was contemplated impractical that a computer could characterize an image.Even, NVIDIA is developing an app to assist persons with limited or no vision using image captioning technology.The main aim of this project is to develop a model such that it can predict the closest text or caption to that particular image.This analysis can be done by utilizing deep learning methods as these methods are efficient for handling the complexity involved in image captioning.So, this project intends to build a model that predicts captions or labels from images by using deep learning models.The VGG16 architecture is employed in this research for the prediction and generation of captions for the images and this analysis can be compared with other deep learning frameworks such as LSTM or CNN to observe the performance of the model [1].
Pendeteksi Sampah Metal untuk Daur Ulang Menggunakan Metode Convolutional Neural Network

Waste is part material that has no value within the scope of production. If you no longer need it, metal cans can take about 80 to 200 years to decompose. CNN is part of the supervised learning method that exists in deep learning, where those who have expertise in representing images or images from several categories increase recognition, namely in classifying objects, doing scene recognition, and detecting object detection. In this study, using the CNN method as a development model and applying the ResNet 50 network design, which includes the type Convolutional Neural Network (CNN) that operates by way of working, namely receive an input in the form of an image or images. The input will be carried out by training that is set using the CNN architecture so that later it will produce an output that can recognize objects as expected in knowing the types of cardboard and glass waste. The implementation of this research uses the Python programming language, Anvil, and the TensorFlow and Keras libraries. The system has succeeded in detecting the type of metal waste from general waste and assisting third parties, namely implementing it through the website using Anvil. The input shape for CNN modeling in this study is 512x384 pixels, which has a value of 100 eras, and the data set used contains images of metal waste and general waste found 547 images, resulting in an accuracy of 96%.
Methodology for determination of petrographic structures using the MIU-5M device

The authors develop a statistical method for determining the structures of rocks. A mathematically rigorous definition of the petrographic structure through the probabilities of binary intergranular contacts is proposed. The petrographic structure is defined as an invariant aspect of rock organization algebraically expressed by the canonical diagonal form of symmetric matrix of contact probabilities and visualized by structural indicatrices - 2 order surfaces. A consistent nomenclature of petrographic structures has been proposed. Earlier the method showed itself well in describing the structures of ijolites and urtites of the Khibiny Mountains, as well as amphibolites of the islands of Keretsky Archipelago (the White Sea). Mass application of the method is restrained by the routine procedure of calculating the probabilities of intergranular contacts in petrographic thin sections under a microscope. The problem of modern optical structure analyzers is assignment different sections of the same anisotropic mineral to different minerals, and separation blocks of a mineral individual to different individuals. The paper describes the experience of using the domestic MIU-5M device for scanning petrographic thin sections by the linear method of Rosival. The combination of visual control and minimum automation of the process allows us to achieve convergence of the structural types with results obtained by manual processing of image of petrographic thin section. Additionally, thin sections have been studied, for which the structural types differ with various methods of counting. It has been revealed that the presence of poikilitic ingrowths and features of the mineral composition (the existence of hypergene changes or minerals with similar optical properties) affect the statistics of probabilities. Recommendations are given on the selection of the scanning step depending on the grain size in the studied rock.