Reviewerly/exHarmony huggingface dataset:
Human Language as a Natural Artifact of Planetary-Noospheric Mind: Coevolutionary-Macromutational Reinterpretation

The article discusses a new hypothesis of coevolutionary-macromutational origin of human language, through the prism of which this planetary-noospheric phenomenon is proposed to be considered as a natural artifact of holisticsynergetic coevolution of nature, society and culture. The following assumption has been suggested: the proposed hypothetical idea is a resonance of the former two philosophical theories: the fusion theory and the thesis theory, which were regarded by scientists either as natural or artificial (conventional / conditional) nature of human language. At the same time, they did not completely deny the origin of the human language as a result of various types of activities. The represented arguments helped to confirm the views of anthropologists, culturologists and other scholars. The creation of various artifacts (tangible and intangible) took place in all stages of evolution: geogenesis – biogenesis – psychogenesis – anthropogenesis and at a subsequent stage of Homo sapiens. However, language as the most important product of global evolutionism was formed at the stage of anthropogenesis, in particular as a corollary to the molecular mutations of human brain. The term “coevolution” has been transferred to the sphere of linguoanthropogenesis. In conjunction with the hypothesis of macromutation the natural artifact origin of human language is consistently explained under the scenario of biogenesis – sociogenesis – culturogenesis. The essence of the hypothetical result is that a qualitatively new driving force for the continuation of this scenario can be noospherogenesis, which is determined by historical and cultural development of mankind, its activities in all spheres of life and, most importantly, by the planetary high-tech mind.
Pengaruh Penggunaan Model Gallery Walk sebagai Media Komunikasi Pembelajaran terhadap Minat Belajar Siswa MAN Batam

The purpose of this research is to study the pattern of the use of the walking gallery as a learning communication medium for student learning interest. Regarding the background of this study, because the Indonesian evaluation system uses different methods in the learning process. So is the cooperative learning model. This type of research is quantitative research using descriptive methods. Descriptive research reconsidering facts, circumstances, variables and phenomena that occurred at that time and presents data that are considered to exist. On the basis of the results of tests conducted by researchers, it turns out the proposed hypothesis can be accepted. Hypothesis testing can show a significant positive effect between media gallery walk (X) on student learning interest (Y). Then Ho is rejected and Ha is accepted. The size of the effect of the pavement model on the size of education (X) on learning interest (Y) can be seen from the coefficient of determination of 0.475. The analysis found that 47.5% of the use of the Walk Gallery learning media towards the learning interests of Man Batam students. Keywords: Communication Media, Gallery Walk, Learning Interest, Learning Media.
On the Expansion of Classroom Teaching Space of Vocal Music for Music Majors in Colleges and Universities

Institutions of higher learning aim at cultivating high-quality talents that can promote social construction and development. Therefore, when teaching teachers, in addition to explaining the key theoretical knowledge to students, teachers also need to carry out professional skills, comprehensive literacy and learning ability. Only by paying attention can students gain more comprehensive development. Therefore, how to expand the teaching space so that students can ensure the improvement of learning efficiency under the mobilization of learning enthusiasm when participating in vocal classroom learning activities is the main question explored in this article.
Vladimir Semenovich Kemenov, “The New Tactics of Abstractionism,” translated from Russian by David Mossop, originally published as “Novaia taktika abstraktsionizma,” in Sovetskaia kul’tura (1959); reprinted in Protiv abstraktsionizma. V sporakh o realizme. Sbornik statei (Leningrad: Khudozhnik RSFSR, 1969), 74–76 (excerpt)

The American exhibition in Moscow clearly shows the nature of the abstractionists’ current tactics. Their aim is to prove that abstractionism supposedly has the same right to exist as realism, thus producing a “diversity” of art and allowing everyone to choose according to their own taste. The secret fear that the bluff of abstract art is about to be called, and its attempts to undermine the growing influence of Socialist Realism and prevent the successful development of progressive realistic art in the West, are reasons why abstract artists are searching for new ways of manipulating public opinion. Etienne Gilson has been unable to explain why the great realist artists managed in their paintings to combine the authenticity of the imagery, the vitality of images and figurative perfection. Gilson is prepared even to consider realistic pictures as “fine art” and admits their usefulness.
LIFELONG LEARNING - A FACTOR OF PROFESSIONAL REALIZATION

The article deals with the problem of full professional realization of the personality based on permanent enrichment of knowledge, skills and competences. The modern man lives in a society defined as a "knowledge society." In order to keep up-to-date in the labor market, where some professions are losing their importance and the need for new ones is created, they are faced with the need to learn throughout their whole life. The article presents the results of an empirical study. The study covers 66 graduate students in a one-year specialization to acquire a new vocational qualification "teacher", who study at the Faculty of Education at Trakia University in Stara Zagora, Bulgaria. The results indicate that the sustainability of the idea of lifelong learning is being considered and realized by representatives of different generations. The age of the respondents varies over a very wide range – from 23 to 56 years of age. The persons surveyed clearly differentiate the strengths and weaknesses of their studies at the university. They express their satisfaction with the theoretical and practical training they have received in the higher education institution. They unambiguously define their motives for acquiring a new professional qualification – from the realized opportunity for a new professional realization, competitiveness in the labour market, desire for change, to the realization of an unfulfilled dream.
Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention

Problem lists are intended to provide clinicians with a relevant summary of patient medical issues and are embedded in many electronic health record systems. Despite their importance, problem lists are often cluttered with resolved or currently irrelevant conditions. In this work, we develop a novel end-to-end framework that first extracts diagnosis and procedure information from clinical notes and subsequently uses the extracted medical problems to predict patient outcomes. This framework is both more performant and more interpretable than existing models used within the domain, achieving an AU-ROC of 0.710 for bounceback readmission and 0.869 for in-hospital mortality occurring after ICU discharge. We identify risk factors for both readmission and mortality outcomes and demonstrate that our framework can be used to develop dynamic problem lists that present clinical problems along with their quantitative importance. We conduct a qualitative user study with medical experts and demonstrate that they view the lists produced by our framework favorably and find them to be a more effective clinical decision support tool than a strong baseline.
Using multimedia teaching aids in the development process cognitive activity of students in technology lessons

The article discusses the issues of interaction between a teacher and university students in the process of applying modern interactive teaching methods; shows the features and relationship of educational communication, digital learning technologies and social communication of participants.
Analysis of Positive Contribution and Risks Sources with Security for Healthcare IoT

The Internet of Things (IoT) undertakes a wide range of activities with highly innovative solutions in thefield of Healthcare System. An equipment corporation does not, however, except an IoT based HealthcareCorporation from complying with the laws appropriate to its operating section which safeguard individual data. Thefinal outcome is in healthcare solutions needing protection and solitude. There are many advanced mechanismsaddressing these concerns, but they have been built in the background of integrated hospitals and care contributors,where resources, computing capacity, announcements and electrical power are available to ensure exceedinglyvigorous health. Which include technological (low processing speed, restricted resources, sporadic communication)organizational. It then provides an indication of some of the major frameworks, followed by a measurement of howthis is restricted within an IoT based Healthcare systems. This research paper looks at legal and security IoT basedHealthcare systems and Healthcare software privacy requirements. Several of the key frameworks are then givenoverview Followed by an examination of how this is limited in the sense of a Device IoT. Finally, Comparativestudies with exciting system also incorporate in this paper.
Special Issue on Humanoid Robotics – From Back-to-basics to Cutting-edge

"Special Issue on Humanoid Robotics – From Back-to-basics to Cutting-edge." Advanced Robotics, 34(21-22), p. 1337
NLP in Virtual Assistants

Virtual assistants are intelligent systems that respond to user queries. They can also hold conversations with users. We can trace the origin of virtual assistants to the 1950s when the Turing test was used to distinguish human conversations from machine conversations. NLP has undergone remarkable changes since then, especially in the last decades or so. Natural language generation techniques in machine synthesis responses are very new developments in the field. The chapters so far in this book have been dealing with NLU, or natural language understanding. You saw various ways of extracting intents, sentiments, etc. In NLG, machine learning algorithms are used to generate sentences. You will explore an example of natural language generation for a bot in this chapter.
RANCANG BANGUN SISTEM INFORMASI KONSULTASI DAN PENJADWALAN FISIOTERAPI PENYAKIT BELL’S PALSY (STUDI KASUS KLINIK GRIYA FISIOTERAPIS)

AbstractBell's palsy is an acute paralysis of the prifer facial nerve of unknown cause and results in permanent disability ifnot treated properly. In this study, Development of Consultation Information System Scheduling Bell’s Palsy Diseasewas designed and built which can help in overcoming physiotherapy scheduling as well as recording medicalrecords, so that they can be well controlled and coordinated. The development method in information systems isdesigned using the RUP (Rational Unified Process) method, where testing using the RUP method is carried out usingblack box testing and using usability (questionnaires). In black box testing, the result is 1, which means that allfeatures are running correctly. In the usability test, the results obtained were 92.30% which was stated relativelyfeasible because the test was carried out on a physiotherapist, and 87.03% which was carried out with 30respondents who met the usability standard referred to in table I, namely the table of score interpretation criteriaor declared "Very Feasible", so the RUP method is a good method for system development.Kata Kunci: Metode Rational Unified Process, RUP, Sistem Informasi, Website, Klink Griya Fisioterapis
Menapak Jejak Seni Gambuh dalam Naskah-Naskah Panji Melayu

Gambuh as the performing art in Malay area became one of the cultural transformation evidences of the close relation between Java and Malay. The history of gambuh performance in Malay area recorded in the archipelago’s manuscripts, one of them is a manuscript entitled Surat Gambuh which is being the collection of Leiden University Library. This paper attempts to examine the contents of the manuscript in order to reconstruct the gambuh performance art in Malay and also trace the historical aspects. As far as the research had been done, there have been no studies of this manuscript so it is necessary to first transliterate it using a critical method. Furthermore, the historical aspects are explored using a historical approach by adding data from other texts of Panji. The analysis result of the reflection of Malay gambuh performance rules and historical aspects show that there is a transformation of work from oral tradition to written tradition, the cultural acculturation between Java and Malay, and the Islamic influence behind Malay gambuh.
Development of 5G enabled IoT framework for flood disaster monitoring using Blockchain Technology

The increasing exploitation of natural resources for our benefits has lead to increase in natural calamities. Every year thousands of lives are lost and damages to houses and businesses take place due to natural disasters. And flood is one of the most terrifying natural disasters which can lead to heavy loss of life and can create economic hardships for people. Floods occur due to seasonal change in precipitation patterns or overflow of dam and rivers submerging huge area of land. Floods can cause significant effect on economic activities like agriculture, tourist‟s activities, sewage systems and roadways etc. In case of floods clean water gets combined with sewage water which can cause risk of getting water borne diseases. There is a need to research on how flood disaster warning system can be designed more efficiently. Many researches have been done in which different sensors have been employed, some have used computer vision technology and image processing to measure water level and warn the officials in case water level exceeds the threshold level. But the proposed methods are not that much effective in every condition. Taking into account the limitations, this paper aims to exploit state of the art technology like IoT and the emerging future development in mobile networks i.e 5G.The future 5G network can be very efficient in transmitting data to warn the officials about any emergency situation with high data rate. Other than this, Blockchain technology which provides significant boon to the field of technology has been employed to ensure data stored in cloud server is not tampered with. Also for data analysis machine learning algorithm has been used for more accurate prediction.
Social Partnership as a Factor in Increasing the International Competitiveness of Pedagogical Universities

The relevance of the research stems from the fact that the subject of public and professional discussions is indicated by the competitiveness of pedagogical universities, searching for new solutions and opportunities of social partnership based on international experience, using the methods of context, dynamic and theoretical analysis.The theoretical background of this problem made it possible to formulate the concepts of "competitiveness" and "social partnership", as a system of civilized social relations, highlighting universal joint activities of social subjects to achieve overlapping interests, based on the principles of democracy, publicity, openness, respect for the rights and freedoms of all parties of the international social interaction.The article reveals the processes of the international social partnership of a regional university with its foreign partners.It determines the commitment to achieving the goals and solving problems associated with the formulation of international priorities, increasing the university international reputation, the confidence of foreign social partners, ensuring international effects.Successful international educational partnership and practice, implemented by GGTU, presents the project " Spanish educational content .''It included two significant events: "Educational tour to universities of Spain" and organization of the international Russian-Spanish Forum "Education without Borders: science, experience, technology."The practical significance of this study is aimed at enhancing GGTU quality of pedagogical education and increasing international competitiveness of a regional pedagogical University, and the development of professional skills of teachers, the intensification of international sociocultural partnership and communication of scientists and practitioners in the world.
IRON: a permanent dense nationwide radon network to approach the challenge of monitoring seismic regions

&amp;lt;p&amp;gt;&amp;lt;span&amp;gt;The deployment of multi-station and multi-parameter networks is considered fundamental in view of the investigation of Earth&amp;amp;#8217;s internal processes from which volcanic and seismic activity originate. The different changes often observed before the occurrence of strong earthquakes or eruptions (anomalies in sub-soil gas emission, hydrothermal discharge, chemical composition of groundwaters, Earth&amp;amp;#8217;s electromagnetic field) highlight the key role of fluids in the generation of these natural phenomena. Since they transfer from the underground to the surface messages about how the natural systems work, geochemistry can actively interact in a multidisciplinary context for investigating natural processes. While observational seismology has witnessed tremendous advances in the last twenty years, thanks to the development of very dense networks of stations measuring ground displacement, deformation and acceleration, the system of geochemical observations did not follow the same growth. The creation, ten years ago, of the Italian Radon mOnitoring Network (IRON) was motivated by the need for a permanent and dense network of stations aimed to make radon time series analysis a complement to traditional seismological tools. In fact, its radioactive nature makes radon a powerful tracer for fluid movements in the crust. The further step was the integration of IRON into a nationwide multi-parameter monitoring network, consisting so far of 10 homogenous sites including velocimeters, accelerometers, GPS sensors, and instruments measuring the Earth&amp;amp;#8217;s electromagnetic field.&amp;amp;#160;The potential of IRON as a tool to study the relationship between radon variability and the preparation process of earthquakes is discussed by means of two practical applications: to the 2016 Amatrice-Visso-Norcia seismic sequence and to the shorter sequence following the Ml 4.4 earthquake of 7 November 2019 in the Frusinate region.&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;
Guaranteeing Generalization via Measures of Information

During the past decade, machine learning techniques have achieved impressive results in a number of domains. Many of the success stories have made use of deep neural networks, a class of functions that boasts high complexity. Classical results that mathematically guarantee that a learning algorithm generalizes, i.e., performs as well on unseen data as on training data, typically rely on bounding the complexity and expressiveness of the functions that are used. As a consequence of this, they yield overly pessimistic results when applied to modern machine learning algorithms, and fail to explain why they generalize. This discrepancy between theoretical explanations and practical success has spurred a flurry of research activity into new generalization guarantees. For such guarantees to be applicable for relevant cases such as deep neural networks, they must rely on some other aspect of learning than the complexity of the function class. One avenue that is showing promise is to use methods from information theory. Since information-theoretic quantities are concerned with properties of different data distributions and relations between them, such an approach enables generalization guarantees that rely on the properties of learning algorithms and data distributions. In this thesis, we first introduce a framework to derive information-theoretic guarantees for generalization. Specifically, we derive an exponential inequality that can be used to obtain generalization guarantees not only in the average sense, but also tail bounds for the PAC-Bayesian and single-draw scenarios. This approach leads to novel generalization guarantees and provides a unified method for deriving several known generalization bounds that were originally discovered through the use of a number of different proof techniques. Furthermore, we extend this exponential-inequality approach to the recently introduced random-subset setting, in which the training data is randomly selected from a larger set of available data samples. One limitation of the proposed framework is that it can only be used to derive generalization guarantees with a so-called slow rate with respect to the size of the training set. In light of this, we derive another exponential inequality for the random-subset setting which allows for the derivation of generalization guarantees with fast rates with respect to the size of the training set. We show how to evaluate the generalization guarantees obtained through this inequality, as well as their slow-rate counterparts, for overparameterized neural networks trained on MNIST and Fashion-MNIST. Numerical results illustrate that, for some settings, these bounds predict the true generalization capability fairly well, essentially matching the best available bounds in the literature.
The Problem of Methodological Future Primary School Teacher Training in a Digital Educational Environment

This article deals with the problem of the future primary school teacher methodological training against the backdrop of the global education and the world economy digitalization.According to theoretical analysis research a number of Russian and foreign scientists has identified factors facilitating and impeding the effective methodological training of a future primary school teacher in an education digitalization.
Development of dementia care training system combining augmented reality and distributed tactile sensor

This paper proposes a training system for a multimodal comprehensive care methodology for dementia patients named Humanitude. Humanitude has been attracting much attention as an effective care technique for dementia patients. Humanitude consists of four main techniques, namely, eye contact, verbal communication, touch, and standing up, and more than 150 care elements. Learning Humanitude thus requires much time. To train Humanitude effectively, we develop a training systemthat realizes sensing and interaction simultaneously by combining areal entity and augmented reality technology. To imitate the interaction between a patient and a caregiver, we superimpose a three-dimensional CG model of a patient’s face onto the head of a soft doll using augmented reality technology. Touch information such as position and pressure is sensed using a whole body wearable tactile sensor. The effectiveness of the proposed training system is evaluated in public lectures.
Law enforcement: Don't use 911 to report large gatherings or other COVID-19 violations

While reporting COVID-19 violations is good in theory, people should not call 911 to file a complaint, authorities said. This could hold up the lines at the communications center trying to dispatch first responders to an emergency or public safety issue.