Reviewerly/exHarmony huggingface dataset:
Preface

Dear Colleagues, 6 th International School and Conference “Saint Petersburg OPEN 2019” on Optoelectronics, Photonics, Engineering and Nanostructures was held on April 22 - 25, 2019 at St. Petersburg Academic University. The School and Conference included a series of invited talks given by leading professors with the aim to introduce young scientists with actual problems and major advances in physics and technology. The keynote speakers were Nikolay Maleev (Institution for Microelectronics Research and Engineering RAS, Russia) Alexey Zhukov (St Petersburg Academic University, Russia) Sergey Kukushkin (Institute for Problems in Mechanical Engineering, Russia) Ivan Mitropolsky (St. Petersburg Nuclear Physics Institute “Kurchatov Institute”, Russia) Alexei Kuzmin (University of Latvia, Latvia) Nikolay Ledentsov (VI Systems GmbH, Germany) Andrei Lavrinenko (Technical University of Denmark, Denmark) Joel Bellessa (University of Lyon 1, France) Slaven Garaj (National University of Singapore, Republic of Singapore) During the poster session all undergraduate and graduate students attending the conference presented their works. Sufficiently large number of participants with 287 student attendees from all over the world allowed the Conference to provide a fertile ground for the fruitful discussions between the young scientists as well as to become a perfect platform for the valuable discussions between student authors and highly experienced scientists. The best student papers, which were selected by the Program Committee and by the invited speakers basing on the theses and their poster presentation, were awarded with diplomas of the conference and prizes – see the photos. This year “ Saint Petersburg OPEN 2019 ” is organized by St Petersburg Academic University . School and Conference is supported by Russian Foundation for Basic Research ( Project # 19-02-20031 ), Peter the Great St. Petersburg Polytechnic University, Russian Science Foundation and SPIE . It is a continuation of the annual schools and seminars for youth on topical problems of physics and technology that is organized by the Academic University since 2009. We invite all the students and young scientists to attend “ Saint Petersburg OPEN ” in 2020! More details at http://spbopen.spbau.com List of The head of Organizing Committee, Participants, The invited speakers, Elevator speech session, Poster Session, Award ceremony are available in the pdf.
Supplemental Material: Heterogenous late Miocene extension in the northern Walker Lane (California-Nevada, USA) demonstrates vertically decoupled crustal extension

Figures S1–S3: Geochemical plots, photomicrographs of representative volcanic rocks dated in this study, and field photographs of alteration in the study region. Table S1: Geochemical analyses. Table S2: Argon dating analyses.
Governance

Higher Education AbstractsVolume 55, Issue 3 p. 260-260 GOVERNANCE Governance First published: 30 July 2020 https://doi.org/10.1111/hea.23_12154Read the full textAboutPDF 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 No abstract is available for this article. Volume55, Issue3July 2020Pages 260-260 RelatedInformation
ТРУДНАЯ ПРОБЛЕМА СОДЕРЖАНИЯ: ПОСТАНОВКА ПРОБЛЕМЫ

The paper demonstrates that the problem of explaining naturalistically the content of mental states is the hard problem, similar to the hard problem of consciousness. The greater part of contemporary philosophers believe that we can naturalistically explain content within the functionalist paradigm, using for example the concept of information. However, D. Hutto and E. Myin, whose views are analyzed in the work, show that contemporary naturalistic theories that use various concepts of information miss the most essential characteristics of the content associated with the concepts of reference, truth, implication. Hutto and Myin believe that a naturalistic explanation of the content of basic mental states is impossible. The authors correctly diagnosed the issue, but they did not reveal its full hardness. The paper demonstrates that the hardness of explaining the content of mental states is necessitated by clarifying the normative nature of the content from the standpoint of naturalism. The work also analyzes McDowell’s naturalistic approach to understanding the normative character of conscious experience that people have, and notes that we have to expand McDowell’s position in order to include in the explanation the conscious experience of other living beings. It is exactly the expanded version of McDowell’s naturalism that allows us to see the hardness of the problem of explaining the content of mental states.
Links do Matter: Understanding the Drivers of Developer Interactions in Software Ecosystems

The International Conference on Software Maintenance and Evolution is the premier international forum for researchers and practitioners from academia, industry, and government to present, discuss, and debate the most recent ideas, experiences, and challenges in software maintenance and evolution.
IMPACT OF CORRUPTION ON NIGERIA’S ECONOMIC DEVELOPMENT

This main purpose of this study is to investigate the impacts on how corruption and its related practices have consistently thwarted the economic growth, transformation, and development of most African nations with Nigeria at the epitome of its analysis.In Nigeria, corruption is one of the numerous unresolved issues and challenges that has significantly impeded the nation's development.It has also been named one of the major obstacles and roadblocks to the transformation of the Nigerian economy.In summary, it is a socio-economic state where state resources that are intended for the country's advancement are diverted and used for private projects and programs.It is displayed in numerous forms which range from misapplication and misappropriation of government positions, non-accountability, hike in contract costs, bribery, forgery of documents and contracts agreements, tax evasions, and many more.In the course of this study, different types of corruption and practices were brought to light, its effects, and policy recommendations to During the research, various kinds/types of corruption were highlighted, its adverse effects, with policies recommended to fight this unnecessary evil in that, have caged the country's economic transition and development.
Cogent: a coherence-driven cognitive agent modelling and experimentation framework

Most agent modelling and simulation languages lack high-level syntactic features necessary for cognitive modelling. In this paper, we present Cogent, an interactive coherence-driven agent specification and simulation platform and demonstrate its use in ethical decision making. The underlying strategy is based on the concept of a connectionist, interactive activation model that implements the theory of coherence. Agents in the Cogent language are specified by a domain-specific language (DSL). The DSL provides the syntax for specifying the decision-making strategy along with its cognitive coherence model. The framework also provides the ability to model complex hierarchical cognitive network structures. To illustrate the utility of Cogent, we explore a machine ethics case study.
Aspect multiple product lines

Software product line (SPL) approach has known a great attention in the software field due to the advantages it brings to software-development. In some large fields having a single SPL is no longer sufficient to manage variability. Several separated SPLs rise then resulting in what is known by multiple product lines (MPL). However, the adoption of an MPL results in several challenges namely: managing reuse between SPLs, MPL model complexity and distributed-derivation. In this paper, we present a new methodology for MPLs engineering called AMPL. Our approach helps managing reuse across MPLs basing on two key concepts: separation of concerns and partial derivation. AMPL approach is validated in the context of an e-government MPL and its various steps are illustrated along the paper. The results show that our approach helps systemising reuse within MPLs and structuring the MPL model. Moreover, SPLs are integrated early in the development process thus avoiding the distributed-derivation challenges.
Templates

The concept of templates is a fundamental part of almost all web development environments. Examples for server-side template languages are Razor (.NET), Haml (Ruby), Django (Python), Pug (NodeJS), and Smarty (PHP). Examples for client-side template languages can be found in Angular and many more frameworks.
Energy Efficient Clustering using MMHC (Modified Multi-Hop Clustering)

In recent years, the WSN has been widely used for building the DSS (Decision Support System) for solving the real-world problem. Moreover, out of several fields, one of the interesting field that requires DSS is monitoring of agriculture environment. Nowadays, Monitoring agriculture environment has become one of the essential field. A smart WSN system is capable of collecting as well as processing the huge data by monitoring the soil conditions, weather situation and others. Hence, IoT (Internet of Things) is employed in order to enhance the productivity and efficiency in the agriculture sector. IoT integrates the various technology such as RFI (Radio Frequency Identification), cloud computing, end-user applications and middleware system. Hence, it is obvious to obtain the higher efficiency for DC (Data Collection). In this paper shared based algorithm known as MMHC (Modified Multi-Hop Clustering) is proposed , this algorithm has three stage i.e. assembling , coupling and removing the redundant nodes. In this modified more than one node can be selected in the other two stage and the more than one node can be removed in third stage, this in terms helps in achieving higher efficiency. Later in order to evaluate the algorithm and prove the efficiency of our proposed algorithm, Comparative analysis is done with the Leach protocol based on the several parameter and it clearly shows that our model outperforms the Existing i.e. Leach algorithm.
Data visualization for exploration and explanation

aus dem Inhalt: „Many aspects of society, science, business, finance, journalism, and everyday human activity, become ever more quantified. As a result, our world is awash with data of increasing amount and complexity. Still, we must keep afloat with our innate human abilities and limitations. Visualization is one way to manage this information overload: well-designed representations replace difficult cognitive calculations with simpler perceptual interpretations.”
Design of Secure Blockchain Convolution Neural Network Architecture for Detection Malware Attacks

Nowadays, Cyberattack continues to target the applications and networks more than past with different and advance ways like programming complex format of malware that it executes unauthorized action on the targeted system, so it is needed to develop and deploy advance method to these kind of attacks for detecting correctly with a trusted and a better accuracy. Therefore, the recent solutions to detect malware attacks focuses on new advance technologies like Deep learning and Machine learning concepts. In this paper we have developed secure blockchain convolution (SBC) Algorithm that provides a better way of analyzing malware data with effectiveness and accuracy. The deep learning concept does not involve in a method to identify the trust while the process is led to extraction of the features as it can be infected by the intervention of human or a trained system. Therefore, According to research which is done towards blockchain, it features as authentication function, immutable property, information privacy and safety helps in deployment of Convolution Neural Network method with better detection. Blockchain has a decentralized structure which is able to record the data between various parties and it helps in preventing the manipulation when the deep learning concept is applied and the higher detection accuracy is received in the limited time.
Introduction

Current seismology depends on well-developed networks of instruments and a range of advances in both theoretical and computational developments. We provide a survey of the development of seismic recording, including the introduction of dense sets of portable instruments, so that major earthquakes are now captured by thousands of seismometers. We then discuss the way in which understanding of seismic waveforms has developed through the computation of synthetic seismograms and their exploitation in inversion. The last part of the chapter provides a description of the structure of the four Parts of the book
Automatic Facial Expressions and Identification of different face reactions using Convolutional Neural Network

Automatic Face expression is the significant device in computer apparition and a predictable knowledge discovery application in automation, personal security and moveable devices. However, the state-of-the-art machine and deep learning (DL) methods has complete this technology game altering and even better human matching part in terms of accurateness. This paper focuses on put on one of the progressive deep learning tools in face expression to achieve higher accuracy. In this paper, we focusses on Automatic Facial Expressions and Identification of different face reactions using Convolution Neural Network. Here, we framed our own data and trained by convolution neural networks. Human behavior can be easily predicted using their facial expression, which helps marketing team, psychological team and other required team to understand the human facial expression more clearly.
African Economies and the Rise of Crypt-Currencies

New cryptocurrencies are emerging daily, providing alternatives to traditional forms of payments and enabling new mediums of exchange such as cash. These currencies span Bitcoin, Litecoin and Etherium. In less than a decade, bitcoin has gone from being an obscure curiosity to a household name. In recent times, bitcoin has risen – with ups and downs – from a few cents per coin to over $4,000. In the meantime, hundreds of other cryptocurrencies – equalling bitcoin in market value – have emerged (Graph 1, left-hand panel). While it seems unlikely that bitcoin or its sisters will displace sovereign currencies, they have demonstrated the viability of the underlying blockchain or distributed ledger technology (DLT). Venture capitalists and financial institutions are investing heavily in DLT projects that seek to provide new financial services and deliver old ones more efficiently. Bloggers, central bankers, and academics predict transformative or disruptive implications for payments, banks, and the financial system at large. Findings from Andolfatto (2015, 2016), Broadbent (2016), Raskin and Yermack (2016) and Skingsley (2016) attest to this sea-change in mediums of exchange as consumers. Transformative implications for economies, financial systems and consumer investment behaviour is already changing, reflecting a macroeconomic backdrop characterised by ultra-accommodative interest rates, low economic growth and a dearth of investment opportunities with over 20% of global debt yielding negative returns. The transformative changes likely embedded in the increased use and &adoption of cryptocurrencies across economies suggest a need to understand the nature of cryptocurrencies better.
An Efficient Hierarchical Layered Graph Approach for Multi-Region Segmentation

We proposed a novel efficient seed-based method for the multiple region segmentation of images based on graphs, named Hierarchical Layered Oriented Image Foresting Transform (HLOIFT). It uses a tree of the relations between the image objects, represented by a node. Each tree node may contain different individual high-level priors and defines a weighted digraph, named as layer. The layer graphs are then integrated into a hierarchical graph, considering the hierarchical relations of inclusion and exclusion. A single energy optimization is performed in the hierarchical layered weighted digraph leading to globally optimal results satisfying all the high-level priors. The experimental evaluations of HLOIFT and its extensions, on medical, natural and synthetic images, indicate promising results comparable to the state-of-the-art methods, but with lower computational complexity. Compared to hierarchical segmentation by the min-cut/max-flow algorithm, our approach is less restrictive, leading to globally optimal results in more general scenarios, and has a better running time.
QML Algorithms II

Quantum machine learning provides unprecedented scope in computing the techniques done in classical machine learning on a quantum computer. The entanglement and superposition of the basic qubit states promise to provide an edge over the performance and scope of classical machine learning.
Publication schedule for 2021

American Journal of Medical Genetics Part C: Seminars in Medical GeneticsVolume 187, Issue 2 p. 105-105 ISSUE INFORMATIONFree Access Publication schedule for 2021 First published: 10 June 2021 https://doi.org/10.1002/ajmg.c.31813AboutPDF 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 onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume187, Issue2Special Issue: Syndromes and Malformations in Art and Antiquities: New Perspectives on a Familiar ThemeJune 2021Pages 105-105 RelatedInformation
Coronagraph

Coronagraph Laura Reece Hogan (bio) Sometimes with our lesser magnification you let us swallow the sun. Sometimes the sea-smoothed lip of the conch murmurs that it is really the ocean, while the ocean would have us believe it is the sway of shining scales. Sometimes you let us savor our vital spark in the circadian clock of the Monarch antennae or the turning of green leaves to the glow. The tiny curled fingers in an ultrasound, bright. Sometimes we stumble on your stars and the exoplanet nursery, a coronagraph of dust and gas swirling around baby worlds hundreds of light years away. They would have us believe in their genesis, in the tell-tale ripples marking their likeness. Always you utter atoms across time, let our molecules hear and bend toward your extravagant, telescoping voice. [End Page 326] Laura Reece Hogan Laura Reece Hogan is the author of Litany of Flights (2020), which won the 2020 Paraclete Poetry Prize, the chapbook O Garden-Dweller (2017), and the nonfiction spiritual theology book I Live, No Longer I (2017). A Pushcart Prize and Best of the Net nominee, she is one of ten poets featured in the anthology In a Strange Land (2019). Her poems have appeared in America, Dappled Things, The Christian Century, First Things, Anglican Theological Review, Cumberland River Review, Whale Road Review, The Cresset, Santa Fe Literary Review and other publications. www.laurareecehogan.com. Copyright © 2021 Johns Hopkins University Press
An Improved Version of Closed Spam by using Direct Bit Position Method

This research paper is a new approach to Closed SPAM by Using Binary DBP Closed SPAM. The idea behind this algorithm is extending the previous DBP using SPAM. The feature DBP Closed SPAM is to retrieve large sequence database from closed Sequential Patterns The test evaluation is done on Real Datasets, experimented results shows that the algorithm DBP Closed SPAM is more efficient than the previous Closed SPAM algorithms. This is also a way to retrieve the closed frequent patterns in a sequence database by giving minimum support value.
Exceptional Boards: Strengthening the Governance Team symposium

Nonprofit Business AdvisorVolume 2021, Issue 382 p. 4-4 Conferences & Events Exceptional Boards: Strengthening the Governance Team symposium First published: 10 June 2021 https://doi.org/10.1002/nba.31025Read the full textAboutPDF 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 onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume2021, Issue382July 2021Pages 4-4 RelatedInformation
Model of Students’ Professional Competence Formation

The paper is focused on the process of students’ professional competence formation. The major emphasis is on the competencies related to social and educational activities in the context of the commercialization of education. The authors’ biggest contribution is a specially designed model. It describes the formation of students’ professional competence in social and educational activities. Professional competencies of students are a qualitative integral manifestation of personal traits with a focus on social and educational activities. It includes a certain level of individual development and the mastering of special knowledge, skills, and abilities, as well as self-development that contribute to the successful implementation of professional activities in the context of the commercialization of education. The formation of professional competencies is presented as a focused, systematic process. There is much evidence that this process requires a systematic pedagogical, psychological, and special knowledge to develop skills and abilities in organizing and conducting social and pedagogical work. The content of this process is a complex activity targeting professionally significant qualities, the acquisition of systematized knowledge and skills in the field of social pedagogical activity. The results of the study are of much importance for practical use in the university. The proposed model allows identifying the levels of formation of students’ professional competencies.
Gear Up: The Necessary Hardware and Software Tools

In this chapter, you’ll learn everything you need to be equipped for Mixed Reality development. We’ll make sure your PC is ready for development and walk through some recommended PC specifications. I provide a brief discussion on how your computer hardware impacts Mixed Reality development and performance. We’ll also go over your hardware and emulator options for testing your app during development. We provide an overview of the HoloLens and some key features that you’ll want to be familiar with before you start developing apps. Finally, you’ll be guided through installing all the necessary software tools needed to dive into the world of making Mixed Reality experiences!