Reviewerly/exHarmony huggingface dataset:
Addition of Video Titles

neurologists treating patients with MG.According to a recent systematic review, 2 there is insufficient evidence to conclude that high-dose corticotherapy increases exacerbation in MG.Furthermore, our study 1 demonstrated that high-dose corticosteroids can be prescribed in MG without significant deterioration.With respect to the second point raised by Akamine et al, we did not evaluate quality of life.At the time our protocol was designed, the French version of the 15-item Myasthenia Gravis Quality of Life Scale 3 was not yet available.To evaluate the functional outcomes of MG, we used the Myasthenia Gravis Activities Of Daily Living score, which was slightly higher in the rapid-tapering arm (means [SDs], 1.5 [2.2] vs 1.1 [2.6]) at 12 months.However, we do not believe this to be clinically meaningful.The tapering of corticotherapy in both groups achieved MG stability that was comparable at 12 and 15 months; however, our study 1 demonstrates that this can be obtained with smaller doses of corticosteroids (per our Table 2), as highlighted by Akamine et al.As also pointed out by Akamine et al, reducing the cumulative dose of corticosteroids, when possible, is preferable for individuals with MG.
3D MR Image Denoising using higher Order Kernel Regression

Noise removal from images is among the challenging processes for researches. Image denoising is a crucial step to improve 3D image conspicuity and to enhance the performance of all the processing needs of quantitative image analysis. Magnetic Resonance (MR) imaging has an increasing importance in the field of medical diagnosis. MR 3D image de-noising has two features (i) tri-dimensional structure of images and (ii) the nature of the noise, which are Rician &amp; Gaussian. Kernel regression is one of 3D non-parametric noise level estimation technique which is effective than other denoising experimental filters. The proposed Fourth order Kernel Regression (FKR) algorithm builds an efficient and robust estimator and improves the accuracy of noise and it further improves the finer estimations of pixel value and its gradients. Experimental results demonstrate positively by achieving better performance, with respect to other de-noising filters.
The Future of the Monograph: long-form Scholarship in the digital Age

Thank you for attending APE 2021! The content for APE will become available over the next few days after post-conference processing for audio and visual quality has been completed. Please check back next week. The First Publishing Event in the New Year! Full Unlimited Online Coverage! Was that the real beginning of the new 21st Century? Global challenges changing lives on a scale never seen before – a global pandemic, ferocious evidence of climate change and biodiversity loss, and cyber warfare influencing global leadership against a backdrop where evidence and experts are increasingly discounted in place of tribes with their own truths. Research is increasingly having to step up to meet global challenges and we need robust responses to reclaim trust in both scholarly publishing and the expertise of researchers as we map the path to the future. Covid-19 stress-tested scholarly communication and there’s room for improvement but also inspiration for change. A changing world has led to new solutions and new players – but are they robust and tested for long-term trust? Pre-prints proved a rapid way to communicate potentially crucial findings in a crisis but is the world ready to understand the implications of reading un-tested research? Peer review, the bastion of trusted science, is under scrutiny from those within and outside research and with calls for transparency and openness in science, where next for dissemination of research findings? 2021 is the start of a very new and very different period in history and we come together with purpose and a collaborative spirit. [View the Full Program](https://www.ape2021.eu/full-program/program)
Modelagem da Estratégia e Alinhamento de Recursos Humanos Baseado em Competências

The Regional School of Information Systems of the state of Rio de Janeiro (ERSI-RJ) is an event that brings together professionals, teachers, and students interested in learning and discussing problems, solutions, and concepts related to information systems. ERSI-RJ mini-courses are short-term activities (four hours long) that are part of the ERSI-RJ program. They address issues related to information systems with the aim of providing the public an environment of learning and discussion of issues such as trends and challenges in the information systems area. In 2020, the ERSI-RJ was canceled because of the SAR-COV-2 pandemic. From all of the submissions for this year (2021), six mini-courses were chosen. Besides, two other submitted proposals were selected to be added as chapters of this book. A group of professionals and professors reviewed the mini-course proposals and selected the best ones. The committee members weighed in on the proposals and chose the finest ones. The selection criteria were: relevance to the event, audience expectation, timeliness and content. This book covers: the concepts and ways of detecting fake news in digital news media; an organizational modeling language that addresses the topic of competency-based human resource strategy and alignment; the use of simple language to support transparency and the development of best practices for digital transformation; the practice of data management in the field of data journalism; the introduction to game projects with educational purposes, which includes a canvas for Endogenous Educational Game Design; the concepts, definitions, applications, and research on Ethics in the information systems area; the main protocols of the Internet of Things' application layer, with a practical emphasis on the CoAP and MQTT protocols; and an example of treatment, correlation, and reducement of trends and seasonality of data by using R to analyze data about COVID-19 and public transport in Rio de Janeiro city. We believe this material will be useful for information systems classes and for supporting discussions, research, and professional practice. We congratulate and thank the authors of the chapters. We also thank the Selection Committee for their dedication and efficiency; the Editorial Committee for their effort; and the CESI (Special Committee on Information Systems) of SBC for this publication's support. Finally, the book's cover was designed by Matheus Nunes Ritton, a graduate student in information systems at the Universidade Federal Rural do Rio de Janeiro. This is his second time working on the ERSI-RJ minicourse book covers.
Neurosciences and aging: determinants of healthy aging

Introduction: Neuroscience is an area of knowledge that has been an important ally in the study, prevention and understanding of brain mechanisms and their influence on neurodegenerative diseases. In this tuning fork, the neuroscience of aging is concerned with studying important aspects in the life of the elderly, so that it becomes valuable to study the determinants of healthy aging. The present study aims to understand the aspects that involve healthy aging and how neuroscience can beneficially influence the aging process. Method: This research is a bibliographic review, of a qualitative nature, where the analysis of articles and authors was sought in the Scielo, Pubmed, Redalic databases. The study is justified because population aging is a reality where there is a forecast that, in 2025, Brazil will be the sixth country in the world in population of people over 60 years of age. Results: Through this study it was possible to understand that the determinants of health in aging are related to important factors such as the presence of diabetes, high blood pressure, the practice of regular physical activities, mental illness, healthy lifestyle, social interaction, leisure, and volunteer work. Conclusion: Neuroscience demonstrates relevant advances, as it considers the brain’s ability to restructure, recover damaged parts, develop and create new connections in aging. Knowing these factors can mean a long-term and quality- of-life future for the elderly with the prevention of diseases present in this phase of life.
An Introduction on Interpretable Machine Learning

As Artificial Intelligence penetrates all aspects of human life, more and more questions about ethical practices and fair uses arise, which has motivated the research community to look inside and develop methods to interpret these Artificial Intelligence/Machine Learning models. This concept of interpretability can not only help with the ethical questions but also can provide various insights into the working of these machine learning models, which will become crucial in trust-building and understanding how a model makes decisions. Furthermore, in many machine learning applications, the feature of interpretability is the primary value that they offer. However, in practice, many developers select models based on the accuracy score and disregarding the level of interpretability of that model, which can be chaotic as predictions by many high accuracy models are not easily explainable. In this paper, we introduce the concept of Machine Learning Model Interpretability, Interpretable Machine learning, and the methods used for interpretation and explanations.
Agile and Resilient Embedded Systems

Mission assurance requires all operational platforms and systems to be able to perform their function under the ever-growing challenge of cyber hostility. Since 2014, the Air Force Research Laboratory (AFRL) Agile and Resilient Embedded System (ARES) program has been developing a Cyber Security and Resilience (CSR) methodology and associated technologies for ground-up designs as well as retrofitting existing platforms. Throughout the duration of the program, the ARES approach was applied and demonstrated with an octocopter, an unmanned aerial system testbed, and a fixed-wing aircraft. Since then, efforts have been focused on advancing capability and transitioning CSR technologies into DoD systems. In this paper, we summarize the ARES methodology and technologies, and describe our experience of inserting them into DoD embedded systems.
SELF-LEADERSHIP AS A PERSONAL RESOURCE OF THE SUBJECT OF COPING

The article is devoted to the analysis of self-leadership as a personal resource of the subject of coping. Self-leadership, being a systemic quality of personality, includes constructive thinking, responsibility, self-confidence, autonomy and authenticity, selfcontrol, self-motivation, realistic optimism, tolerance to uncertainty, which allows the subject of coping to solve emerging life problems independently, show creative activity in situations of uncertainty, increase productivity and self-effectiveness through a conscious choice of behaviors in accordance with personal characteristics and requirements of a difficult situation.
Comparing project-based learning and problem-based learning to foster 21st-century learning skills in agricultural seaweed product

This study examined the effect of 1) learning strategy [project-based learning (PjBL) and problem-based learning (PBL)] on the ability of seaweed product diversification; 2) 21st-century learning skills [critical thinking, communication, collaboration and creativity (4Cs)] on the ability of seaweed product diversification; and 3) the interaction between PjBL, PBL and 4Cs on the ability of seaweed product diversification. This study was a quasi-experiment with a 2 × 4 factorial design, namely two learning strategies (PjBL and PBL) × four types of 21st-century learning skills. The research subjects were college students of a public university (n = 70). Data were analysed using the two-way analysis of variance. The results indicated that (1) there were significant differences in students’ ability to diversify seaweed between groups which were taught with PjBL and the one with PBL, (2) there were differences in the ability of students’ to diversify seaweed between the ones in the groups with different 21st-century learning skills and (3) there was an interaction between learning strategies and 21st-century learning skills towards the ability to diversify seaweed products. This study indicates that the implementation of PjBL brings a better effect compared to the implementation of PBL in fostering 21st-century learning skill.&#x0D; &#x0D; Keywords: Project-based learning; problem-based learning; 21st-century learning skills.
Security Assessment of Quantum Networks

Quantum network is undergoing exciting develop-ments. To address the practical issues in it, we design new key management algorithms, and a routing scheme with delayed privacy ampli ication to reduce the trustworthiness requirement on relays.
Study on 3D Path Planning of UAV

To solve the problems that traditional artificial potential field (APF) is easy to fall into the minimum trap in the process of three-dimensional path planning and the traditional A * algorithm is inefficient, an APF -A * fusion search algorithm is proposed. Firstly, in order to avoid the unmanned aerial vehicle (UA V) falling into the minimum trap in the search process of artificial potential field algorithm, A * search algorithm is added to the algorithm. After the artificial potential field method falls into the minimum trap, the A * algorithm is used to continue searching the path, so as to escape from the minimum point and find the target point. Secondly, that search speed of the A * algorithm in the fusion algorithm will affect the overall search efficiency. by reasonably set the virtual target points, the path of A * search can be reduced when the UAV is guided to escape from the minimum trap by using the A * search algorithm. There by realizing faster path planning. Finally, the paths planned by the fusion algorithm are optimized to reduce unnecessary paths. The fusion algorithm solves the problem that the traditional artificial potential field method falls into the minimum. At the same time, it has higher search efficiency than A * algorithm and lower flight cost.
Sequence Stratigraphy of the Oligocene and Miocene Successions from Selected Wells in Garmian District, Kurdistan Region/Iraq

New hydrocarbon discoveries in Kurdistan region from Oligocene and early Miocene reservoirs considered as new pay zones in the middle east map. Therefore, the establishment of new chronostratigraphic framework essentially based on the integrations of well log data and biostratigraphic data of high priority in Garmian area Kurdistan region/N Iraq. The biozonations, using planktonic and large benthonic foraminifera have been integrated with different microfacies associations. Also we took in consideration gamma, density, sonic and Neutron logs that led to the reconstruction of the chronostratigraphic framework. The litho, bio and chronostratigraphic setting of each well (Ja-46, Ja-49, Qumar-1, Pulkhan-7 and Taza-2) has been identified and correlated with each other. The sequence boundaries of Type one and Two (SBT.1 or 2, Maximum flooding surfaces (MFS) of the studied interval were interlinked between the five wells. The identified sequence boundaries nature, types, causes in addition to the maximum flooding surfaces, were correlated with regional data sets from the Arabian platform. The studied lithostratigraphic successions encompass Kirkuk group, Basal Anhydrite, Serikagni, Euphrates, Dhiban and Jeribe formations. The Oligocene reefal super sequence (Back reef-reef–fore reef and open marine) differs from Miocene Lagoonal super sequence mainly on facies associations, paleogeographic setting and hydrocarbon reservoir point of view.
Calculation of Synaptic Weights in Neuroexpert Systems

One of the main problems of the science of artificial thinking is the implementation of human thinking activities in any artificial devices. Examples of this are complex programs of various intellectual systems, expert systems, image recognition systems, and finally software systems based on artificial neural networks. These expert systems work with disclosed knowledge.
Ring Theory

Cryptography is the study of the systems that send secure messages, and cryptographic advancement is an integral part of our ability to send secure communications. However, the invention of quantum computers (exceptionally powerful computers that use superposition and entanglement of bits to perform computations) will render many current cryptosystems ineffective. In this chapter, we will consider an area of mathematics called ring theory, and discuss its applications to cryptography at an introductory level. In particular, we will explore a cryptosystem that is thought to be resistant to all quantum-based computer attacks. There are two main types of cryptosystems, namely symmetric-key algorithms and public-key algorithms, and we will discuss public-key cryptography, which was introduced by Diffie and Hellman in the 1970s. Specifically, we will focus on a public-key cryptosystem called the N-th Degree Truncated Polynomial Ring (NTRU), which was first introduced by Hoffstein, Pipher, and Silverman. The major advantages of the NTRU cryptosystem are that it is based on certain lattice problems, and it is thought to be resistant to all quantum-based computer attacks. Additionally, it is considerably faster than other public-key cryptosystems like RSA (Rivest-Shamir-Adleman) and ECC (elliptic-curve cryptography), which are susceptible to quantum-based computer attacks. The application of the NTRU cryptosystem requires some basic ring theory, and thus we introduce the mathematical content about rings that will be required for this cryptosystem.
Towards Automatic Synthesis of View Update Programs on Relations

Automatic synthesis of bidirectional programs on relations has not been well studied yet. As an attempt to solve the problem, we propose an approach to synthesizing view update strategies on relations written in Datalog from examples and data schemes. Our approach has been implemented and used to successfully synthesize various view update tasks on relations.
The compositional transformations in the quality theory of dpac’s mathematical designing

in this article the results on the quality theory of DPAC’s mathematical designing have been cited, which are connected with compositional transformations. This are author’s results on the divisibility of dynamic operators with multicomponent memory, on the aggregation of mathematical DPAC’s models, which are based on fundamental results by academician A.N. Kolmogorov on estimation of word’s complexity, on the behavior of properties observability and minimality of dynamic operators by their compositional transformations.
Lean technologies for managing the processes of professional self-realization of teachers

The article analyzes the results of testing a resource-saving (humanistic) type of social technology that accompanies the processes of teacher's self-realization.These are universal technologies that allow diagnosing and adjusting professional efforts of young teachers, making management decisions that help to preserve the human resources of educational organizations and to reveal the teacher's professional capabilities.Self-realization is a source of preserving health and developing the teacher's personality.The author sees it as a balance between the need to fulfill social roles and a chance to keep one's individuality.The article provides an analysis of a discussion about the problems of education and science management.It is noted that the "effective management" system would not accept criticism or complaints from the professional scientific professorial elite.In this situation, the author sees a way out in relying on the teacher's personality.In a managerial sense, we are talking about the use of lean technologies to support self-realization processes that will be protection tools against professional and emotional crises.Lean technologies ensure the change of stimulating management to saving (understanding) management.The lean context of working with human resources can be provided by use of humanistic technologies to support professional activities.The emphasis on self-realization processes is an option for solving the problem of educational institutions being "carnivalized".Management technology to support self-realization processes involves creating suitable conditions, stimulating a person's creative activity, strengthening their professional dignity.These are tools for adapting young teachers to professional activities.The empirical data necessary for diagnosing and correcting self-realization processes at all stages of applying the "lean" technology was obtained by means of a hybrid research complex that involves a quantitativequalitative approach and a number of appropriate methods and techniques combined.
The New Multimode Optics - Understanding and Exploiting Controllable Complexity

Technologies like silicon photonics allow complex optics. Emerging applications in communications, sensing, and classical and quantum information processing demand complex controllable circuits. Recent advances in novel interferometric mesh architectures, new algorithmic approaches to control, including self-configuring and self-stabilizing circuits, and a clarified modal mathematical approach, promise sophisticated and highly functional circuits beyond previous optics.
FORESIGHT LABORATORY TO FORM PARTICIPATIVE AND DIGITAL CULTURE OF FUTURE TEACHERS IN THE HUMANITIES (INTERNATIONAL EXPERIENCE)

The article provides a review on the foresight research in the field of education, determines the prerequisites of its development and claims the feasibility of creating a virtual foresight laboratory for the Humanities major in the Republic of Kazakhstan. The objectives of the research are to outline the foresight-technologies and to analyze the attitudes of stakeholders in education towards foresight research. The review and analytical part of the study reveals the features of the functioning of foresight laboratories in the foreign countries, mainly in technical, economic and business profiles. The authors present the data of an anonymous survey and come to the conclusion that to form participatory digital culture of future teachers it is necessary to create this communication tool in the professional education system of the humanitarian cycle between the subjects of the micro-, meso- and macro- environment of the educational space. The proposed areas of the open foresight laboratory consider the development of meta-competencies among students of the humanities profile in the education process. The distance format of the virtual foresight laboratory is characterized in terms of mobility and flexibility, which significantly reduce the cost of the research and the implementation of the data obtained. This study is practiceoriented and is at the stage of modeling a generalized hub in a digital format.
Measurement of Finger Pad Deformation during Press Motion

Measurement technic of contact information such as force or slip is important to understand human dexterous skills. We are developing a wearable force and slip measurement device which does not interfere with the natural contact of the fingertip. It is important to clarify the deformation characteristics of the finger pad for optimal device design. In this paper, we present that 2D and 3D measurement results of the finger pad deformation. A RGB camera and a 3D scanner are used in the experiment. We observe that the deformation of the finger pad was large in two places, the loot of the nail and the tip of the nail.