Reviewerly/exHarmony huggingface dataset:
Electromyography Based Translator of the Polish Sign Language

Difficult problem is to facilitate the communication of a deaf person who communicates using sign language with a person who does not know such a way of conversation. A solution to problem may be to analyze hands movement in real time into written or spoken language. To achieve this, the experiment uses machine learning, which is used to recognize words in hand movements. It is also investigated what sensor combinations such as gyroscope, accelerometer, electromyograph give the best results. This work analyzes only a small part of all sign language words, but shows that much can be achieved by analyzing the hand movement itself. The project classified 18 words and with the proposed approach satisfactory results were obtained showing performance of 91%. It also presents problems that may arise when classifying the whole language.
How Real-World Biases Are Mirrored by Algorithms

Now that you have heard about the many ways human behavior can be biased on the one hand and how complex the development of an algorithm is on the other hand, you have probably started to appreciate in how many ways algorithmic biases can arise. In this second part of the book, we will examine in greater detail the different ways algorithmic biases can be introduced.
Continuing and additional vocational education in the Russian Federation: trends and predictive development assessment [Непрерывное И Дополнительное Профессиональное Образование В Российской Федерации: Тенденции И Прогнозная Оценка Развития]

The paper presents some generalized results of a comprehensive analysis of the state, structure, features of the NGO system, obtained on the basis of research materials conducted by employees of the Center for the Economics of Continuing Education of the RANEPA in 2013-2018. The paper defines the tasks, functions and mechanisms of functioning of the system of management of vocational education and professional educational organizations.
Practical Applications of Useful Money and Cryptocurrencies

<h3>Practical Applications Summary</h3> Cryptocurrencies’ attempts to replace the operations of traditional financial institutions has led to several fundamental questions about their plausibility, both as a type of money and as a payment system. In <b>Useful Money and Cryptocurrencies</b>, from the 2019 Cryptocurrency Special Issue of the <b><i>Journal of Investing</i></b>, authors <b>Jon Nicolaisen </b> and <b>Peder Østbye</b> (both of <b>Norges Bank </b> in Oslo, Norway) address whether cryptocurrencies can truly function as useful money; whether they can improve payment systems; what their risks are; and what regulation they may face. <b>TOPICS:</b>Currency, portfolio construction, wealth management
Desate Nó: Management System App for Buildings

Apartment complexes in Brazil are usually managed by its residents, as each one represents an equal share in administrative decisions regarding the building they live. According to the housing syndicate survey, applied to apartment complexes administrations, the most common pointed problems are related to communication, behavior, security and payment debts. This paper is part of an extensive research, part of the Interaction Design program project, with building managers and residents, involving observation, interviews, storytelling, cooperative evaluation and think-aloud protocol to help understand and map users’ mental model, their expectations and affordances to integrate the use of digital devices into building managing processes and improve the user experience.
ON BITCOIN AND SIMMEL’S IDEA OF PERFECT MONEY

Georg Simmel in his book Philosophy of Money, described how money evolves through history and predicted that it will evolve to the point where it no longer relies on any substance. He called this stage “perfect money,” which he described as “money detached from every substantial value”. Today we are faced with the development of cryptocurrencies, of which Bitcoin is the best known. Bitcoin presents a new system of transaction which does not require governments or middlemen to regulate trade. Since such currencies are completely beyond substantial value, the philosophical question emerges whether Bitcoin is “perfect money.” This essay will argue that Bitcoin can be understood in connection with Simmel’s idea of “perfect money.” But will also consider Simmel’s claim that perfect money is only possible in a stable society and will show the limitations of cyrptocurrencies and Bitcoin in light of this.
Promoting and Supporting Biodiversity Conservation Activities with the Pattern Language Approach: A Pattern Language for Collaborative Activities for Biodiversity Conservation

In this paper, we present a pattern language comprising 23 patterns for collaborative activities for biodiversity conservation. These patterns have been created based on interviews with people working in Kitahiroshima which is known in Japan for its successful model in biodiversity conservation. We extracted the knowledge from practice: how they have been constructing Collaborative Innovation Networks. We expect this outcome to be applied to various areas and support the next generations of the communities for biodiversity conservation.
NMDA Base Notification for Intent based configuration update

The Network Configuration Protocol (NETCONF)and RESTCONF providesmechanisms to manipulate configuration datastores. NMDA introducesadditional datastores for systems that support more advancedprocessing chains converting configuration to operational state.However, client applications are not able to be aware of common eventsin these additional datstores of the management system, such as aintended configuration state change in NETCONF server or RESTCONFserver, that may impact management applications,especially when aserver is managed by multiple clients or management applications. Thisdocument define a YANG module that allows a client to receiveadditional notifications for some common system events pertaining tothe Network Management Datastore Architecture (NMDA) defined in[RFC8342].
Perception of Academic staff on Multitasking and its impact in HEIs at Oman

Though few research articles exist studying the perception of academicians in schools and colleges, very few landed up in analyzing multitasking among academicians in Higher Educational Institutions and its impact in teaching learning process. Few studies have attempted to discover the facts that engaging in multiple tasks may be cognitively and physically challenging, ultimately results in over workload, increasingly greater work responsibilities and longer hours, more prone to mistakes and the overall quality of work product can be diminished ending up in mistakes sometimes costly to rectify. This substantiates ‘multitasking’ turns out to be a challenge that affects the effectiveness and efficiency of academicians’ in their institutions, thus supporting its negative impact. As researcher’s it is wise to study both the sides of impact, positive as well as negative covering arguments for and against multitasking. Hence an attempt to investigate the perception of the academicians in HEIs on multitasking and its positive and negative impact is tried out with primary data collected from representative samples of academicians in private and public colleges and universities in Sultanate of Oman. The collected data was analyzed using Summary statistics and percentage analysis, Likert’s five point scaling technique with mean analysis. The research implications are presented based on which recommendations and conclusions were sought.
PENGGUNAAN STRATEGI GENIUS LEARNING UNTUK MENINGKATKAN MOTIVASI DAN HASIL BELAJAR IPS SISWA PADA KELAS V SDN 028229 BINJAI BARAT

> This study aims to know the use of genius learning strategies to increase students' motivation and social studies learning outcomes in the fifth grade of SDN 028229 West Binjai. This type of research is classroom action research (CAR). The results of this study are in the first cycle of students who succeeded as many as 10 people (40%) and students who have not completed as many as 15 people (60%) with an average score of 62.8. Students who have received good grades on aspects not quickly satisfied with the achievements that have been achieved amounted to 166 students with a percentage of 64%, it shows the level of student motivation is low. In the second cycle as a whole students complete 100% with an average value of 75.8. Some indicators that experienced an increase in motivation from the 14 existing indicators received a percentage of ≥80% and received a very good predicate. Thus the use of genius learning strategies can increase the motivation and results of social studies learning of students in class V SDN 028229 West Binjai
Imbalanced Research of Deep Belief Network Based on Dynamic Cost Sensitive

Class imbalance is a common problem in the real-world, such as fraud detection, disease diagnosis and crime rate prediction, i.e. This imbalance makes it challenging for a classifier to appropriately learn the discriminating boundaries of the majority and minority classes. To make prediction, it is necessary to solve the problem of handling imbalanced data. In this paper, we propose a cost-sensitive deep belief network, which can automatically generate and optimize the misclassification cost because differential evolution method is used. Moreover, this approach is applicable to both binary and multiclass problems. Experimental results indicate that the proposed approach can improve the performance of classification tasks in terms of two popular metrics for imbalanced classification, i.e., accuracy and F-measure.
ФЕНОМЕНОЛОГИЗАЦИЯ ИЛИ НАТУРАЛИЗАЦИЯ? МЕЖДУ ФИЛОСОФИЕЙ И КОГНИТИВНОЙ НАУКОЙ

The article considers the major approaches towards the integration of philosophical and scientific perspectives on the nature and functioning of subjective consciousness. The project of naturalization of phenomenology is considered as an account of methodological unification of cognitive science and philosophy based on first-person perspective. This alliance is generally thought as an attempt to incorporate the explanatory models of phenomenology into the natural scientific worldview. The proponents of this approach, such as F. Varela, confirm that it can overcome the explanatory gap between the subjective first-person qualitative phenomenological data and third-person neurophysiological data, or at least it can contribute to the project of scientifically informed philosophy of mind, as in S. Gallagher’s front load phenomenology. But is it really possible to build a scientific theory of consciousness? It seems that the project of naturalization contains the inevitable shortcomings which render it impossible to take the first person approaches in cognitive science “seriously”...
Improving Bitcoin Tax Compliance

Bitcoin has captivated much attention and imagination since its emergence in 2009, but not enough when it comes to its tax implications. As a result, there are several areas in need of attention when it comes to the federal tax treatment of virtual currency. The right guidance in these areas would strengthen the legitimate use of virtual currency and maximize the chances for tax compliance.
Anemone: a Visual Semantic Graph

Semantic graphs have been used for optimizing various natural language processing tasks as well as augmenting search and information retrieval tasks. In most cases these semantic graphs have been c ...
Smile, be Happy :) Emoji Embedding for Visual Sentiment Analysis

Due to the lack of large-scale datasets, the prevailing approach in visual sentiment analysis is to leverage models trained for object classification in large datasets like ImageNet. However, objects are sentiment neutral which hinders the expected gain of transfer learning for such tasks. In this work, we propose to overcome this problem by learning a novel sentiment-aligned image embedding that is better suited for subsequent visual sentiment analysis. Our embedding leverages the intricate relation between emojis and images in large-scale and readily available data from social media. Emojis are language-agnostic, consistent, and carry a clear sentiment signal which make them an excellent proxy to learn a sentiment aligned embedding. Hence, we construct a novel dataset of 4 million images collected from Twitter with their associated emojis. We train a deep neural model for image embedding using emoji prediction task as a proxy. Our evaluation demonstrates that the proposed embedding outperforms the popular object-based counterpart consistently across several sentiment analysis benchmarks. Furthermore, without bell and whistles, our compact, effective and simple embedding outperforms the more elaborate and customized state-of-the-art deep models on these public benchmarks. Additionally, we introduce a novel emoji representation based on their visual emotional response which supports a deeper understanding of the emoji modality and their usage on social media.
El manejo de la inteligencia emocional en las aulas virtuales y su impacto socio educacional: El camino de entornos urbanos inteligentes hacia entornos urbanos emocionales

espanolDentro de los entornos urbanos inteligentes debe prevalecer el fomentar las relaciones socioemocionales entre los individuos que la habitan para una mejor convivencia y calidad de vida. El planteamiento del desarrollo de entornos urbanos inteligentes no solamente debe de ir enfocado a la tecnologia, sino tambien al fomento de las emociones, es decir el pensar en el concepto de entornos urbanos emocionales, donde la prioridad es el bienestar en sus habitantes. Una de las herramientas en el desarrollo de las comunicaciones interactivas es la educacion virtual, que se perfila como un medio fundamental para llevar a cabo este proposito. El involucramiento de las emociones, debe verse como un area de desarrollo en la conformacion de los espacios virtuales educativos. El tema de la educacion virtual ha tomado una fuerza muy importante en estos ultimos anos. La posibilidad de compartir conocimiento con personas que se encuentran muy alejadas geograficamente de nuestro entorno, ha redefinido el sentido que tiene la educacion actual. En nuestro entorno actual el uso de las TIC se ha vuelto fundamental en el desarrollo de las comunicaciones humanas. La educacion significa la posibilidad de que el individuo conviva con personas desde una edad temprana. El proposito principal de los entornos urbanos inteligentes, es satisfacer las necesidades de sus habitantes en todos los ambitos, con base a la sostenibilidad, utilizando la tecnologia para este fin. El tema de la educacion debe de tener un lugar muy importante dentro de la agenda de su operacion. EnglishWithin the smart urban environments, the promotion of socio-emotional relationship between the individuals who inhabit it for a better coexistence and quality of life must prevail. The approach to the development of smart urban environments should not only be aimed at technology, but also at the promotion of emotions, that is, the concept of emotional urban environments, where the priority is the welfare of its inhabitants. One of the tools in the development of interactive communications is virtual education, which is emerging as a fundamental means to carry out this purpose. The involvement of emotions must be seen as an area of development in the conformation of virtual educational spaces. The subject of virtual education has taken a very important force in recent years. The possibility of sharing knowledge with people who are geographically far from our environment has redefined the meaning of current education. In our real smart urban environments the use of TIC has become fundamental in the development of human communications. Education means the possibility that the individual lives with people from an early age. The main objective of smart cities is to satisfy the needs of their inhabitants in all areas, based on sustainability, using technology for this purpose. The issue of education must have a very important place in the agenda of cities operation.
Review of Chaotic Based S-Box Structures

The design of the S - box is important to ensure immediate security at the attack. System security increases when s-box systems are formed with a chaotic base. In this paper, the methods used to create chaotic based s-boxes were investigated and a literature study was conducted.
PETROLOGY AND MAJOR ELEMENT GEOCHEMISTRY OF MANTLE ROCKS FROM KHANOZAI OPHIOLITE, NORTHERN BALOCHISTAN, PAKISTAN

The Khanozai Ophiolite Complex comprises of a thick mantle section which is divided into foliated peridotite and transition zone dunite. The foliated peridotite is dominantly harzburgite with minor dunite and mylonitized/banded lherzolite. The transition zone of the mantle section is dominantly dunite with minor harzburgite. Mineralogically, lherzolite consists of olivine, orthopyroxene, and clinopyroxene, harzburgite consists of olivine and clinopyroxene while dunite dominantly consists of olivine. All the rocks have a minor amount of Cr-Spinel grains and are serpentinized to variable degrees. The textures of the mantle rocks identified are porphyritic and porphyroclastic. The range of geochemical concentration in harzburgite in the major element (wt.%) and trace element (ppm) such as A12O3 (0.2–1.46), CaO (3–4), TiO2 (0.01–0.03), Cr (5-384), Co (23-35) and Ni (45-87) and in dunite is A12O3 (0.1–0.4), CaO (3–4), and TiO2 (0.01–0.03), Cr (12–321), Co (29–39) and Ni (59–75). The Khanozai harzburgite is poor in clinopyroxene while the dunite is poor in pyroxene indicating that the peridotite of the mantle section is refractory in nature and may be residual after a large number of partial melting of the lherzolitic source. The depleted mantle rocks are also possible to have been affected by melt–peridotite reaction. Therefore, the harzburgite may simply be residual from partial melting and combined with consequent fluid–peridotite interaction, and its dunite is the reactive conduits through which the partial melts were extracted. The transition zone of the mantle section may either have formed by olivine fractionation from picritic magma or may be residual in origin. The Khanozai Ophiolite mantle section may be residual from partial melting and/or a product of subsequent magma–mantle interaction while the transition zone is formed by a combination of the mantle and crustal processes which reveals mainly mantle processes at its base and crustal processes for the top. Major element geochemical signatures of Khanozai mantle rocks indicate that they are depleted in nature and are typical of ophiolitic peridotite and abyssal peridotite. Download Full Paper
Model Combination of Activation Functions in Neural Network Algorithms (Case: Retail State Sukuk by Group)

This study aims to maximize the activation function used in backpropogation networks in finding the best architectural model. The case study used is the sale of state retail sukuk based on professional groups. The combination of activation functions used for training and testing is tansig-tansig, tansig-purelin and tansig logsig. The architectural model used is the architectural model 6-2-1 and 6-5-1. The evaluation parameters used are epoch, MSE training, MSE testing and accuracy level of truth. Data processing is assisted by using Matlab software. The results showed that the tansig-logsig activation function had more stable results than tansig-tansig and tansig-purelin.
LibGuides: Data Management and Sharing: Electronic Laboratory Notebook (ELN)

This guide provides current resources available to the Brown University community for management, long-term storage, and, when appropriate, sharing of research data as required by funders and journals. Contact data_management@brown.edu for assistance. LabArchives@Brown
READING LEARNING IN SMP WITH SCIENCE TECHNIQUES

Abstract . This paper discusses how to apply reading techniques in reading learning in SMP / MTs. Reading techniques are fast reading. Reading is important for improving reading skills. By practicing reading, a person learning to read can understand reading texts faster. Planting fast reading habits needs to be done since prepubertal age, especially in junior high schools. Through this basic competence students are expected to have soft skills. Reading learning is one of the most important lessons taught early on so that students have competencies that are very useful for their lives in the future. Through reading competency standards, students are expected to be able to understand and develop meaningful work. The foregoing is closely related to one of the main tasks of a teacher in realizing the goal of education in schools is to develop effective learning strategies. The development of this learning strategy aims to create conditions that can affect the lives of students so that they can learn fun and can achieve satisfying learning achievements. Learning that takes place effectively, is a work that is complex and demands sincerity from a teacher. In connection with the implementation of the above tasks, namely developing an effective learning strategy, a teacher needs sufficient knowledge base on learning strategies that are oriented towards the development of students. In Indonesian language subjects, especially reading learning as stated in the 1994 curriculum, 2004 curriculum, and KTSP in 2006, and the 2013 curriculum has been introduced to junior high school students, basically all students have not been able to read well. This is because the learning strategies used by the teacher are poorly understood by students, so students are slow in accepting reading learning material in class. How to overcome this a teacher is required to do various ways by using various learning strategies that are appropriate to the characteristics of the child. Through the use of memidai techniques in this paper it is expected that students' ability to read texts will increase, so that children's achievement in Indonesian language subjects will increase as well. Keywords: Reading learning, Learning techniques
The Effects of Inflation Targeting for Financial Development

The adoption of inflation targeting (IT) by central banks leads to an increase of 10 to 20 percent in measures of financial development, with a lag. We also find evidence that the financial sector benefits of IT adoption were higher for early-adopting central banks.
A Value-Centered Approach for Unique and Novel Software Applications

It is difficult to make accurate predictions about what delivers value for users, especially in innovative contexts. The challenge lies in the lack of understanding of the problem and solution space. Design Thinking helps here with its converging and diverging thinking in which different solutions are tried out in practice and compared with each other. Design thinking becomes challenging when using software as a medium, since software development is usually not designed to implement several alternatives simultaneously. Therefore, we present in this paper the outline to an approach how this can be realized with software which we call Insight Centric Design & Development (ICeDD). The special aspect of ICeDD is the combination of Design Thinking as a front–end technique with non–software and the conducting of field experiments with several software alternatives. The idea behind ICeDD has been developed iteratively and incrementally by acting in real–world contexts, observing the effects and reflect on them with the help of a literature research.
Situationally-Induced Impairments and Disabilities Research

Research has shown that various environmental factors impact smartphone interaction and lead to Situationally-Induced Impairments and Disabilities. In this work we discuss the importance of thoroughly understanding the effects of these situational impairments on smartphone interaction. We argue that systematic investigation of the effects of different situational impairments is quintessential for conducting successful research in the field of SIIDs that might lead to building appropriate sensing, modelling, and adapting techniques. We also provide insights for future work identifying potential directions to conduct research in SIIDs.