Reviewerly/exHarmony huggingface dataset:
Mirror Self-Recognition

This chapter reviews five decades of research on reactions to mirrors and self-recognition in nonhuman primates, starting with Gallup’s (1970) pioneering experimental demonstration of self-recognition in chimpanzees and its apparent absence in monkeys. Taking a decade-by-decade approach, developments in the field are presented separately for great apes on the one hand, and all other primates on the other (prosimians, monkeys, and so-called lesser apes), considering both empirical studies and theoretical issues. The literature clearly shows that among nonhuman primates the most compelling evidence for something approaching human-like visual self-recognition is seen only in great apes, despite an impressive range of sometimes highly original procedures employed to study many monkey species. In the past decade, research has been shifting from simple questions about whether great apes can self-recognize (now considered beyond doubt), to addressing possible biological bases for individual and species differences in the strength of self-recognition, analysis of possible adaptive functions of the capacity for self-visualization, and searching for evidence of self-recognition in a range of nonprimate species.
The Role of Literature in Language Standardization

“The linguistic history of Italian is an interesting case study for reflecting upon the concept of a standard language and its nature, diffusion and impact. Whereas in other European countries the process of linguistic standardization was predominantly related to political or religious factors, in Italy, in the absence of a unified country (until 1861) and of a commonly spoken language, the standardization of Italian was founded on literature. The elitist norm that prevailed was based on archaic literary models, notably on Dante, Petrarch and Boccaccio, which raised long-lasting issues concerning the homogeneity/heterogeneity and rigidity/flexibility of the standard, as well as questions related to its share-ability and incisiveness. It is only from the twentieth century onwards, when the process of Italianization reached completion and Italian became the language of all Italians, that we can speak of the norm as an ‘average of individual realizations’; that is, as a norm that comes mainly from below. Certain phenomena previously considered ‘substandard’, many of which derive from a new relationship of give and take between written and spoken language, have finally been accepted, hence the configuration of a neo-standard which is at least partly different with respect to the ‘historical’ one.”
Synthesis in Style: Semantic Segmentation of Historical Documents using Synthetic Data

One of the most pressing problems in the automated analysis of historical documents is the availability of annotated training data. The problem is that labeling samples is a time-consuming task because it requires human expertise and thus, cannot be automated well. In this work, we propose a novel method to construct synthetic labeled datasets for historical documents where no annotations are available. We train a StyleGAN model to synthesize document images that capture the core features of the original documents. While originally, the StyleGAN architecture was not intended to produce labels, it indirectly learns the underlying semantics to generate realistic images. Using our approach, we can extract the semantic information from the intermediate feature maps and use it to generate ground truth labels. To investigate if our synthetic dataset can be used to segment the text in historical documents, we use it to train multiple supervised segmentation models and evaluate their performance. We also train these models on another dataset created by a state-of-the-art synthesis approach to show that the models trained on our dataset achieve better results while requiring even less human annotation effort.
A Project-Based Study on User Guidance for Interaction Design

This paper studies the usage of user guidance in interaction design based on a digital media art project. A reflection on the project is first conducted to introduce the case. Data on user experience in the project is analyzed to demonstrates the importance of user guidance, and possible optimizations for improving the efficiency of user guidance are discussed. The result suggests that effectively designed user guidance can improve users' experience in an interactive digital artwork, and guidance can be more important for interactions requiring controls unfamiliar with the users. The Fogg Behavior Model is applied to discuss the approaches to optimize the efficiency of user guidance. For motivation, the discussion suggests combining user guidance with narratives, adopting interactive guidance, and rewarding participation in guidance. For ability, designers can simplify the interaction and guidance based on target users and familiarize them with the manipulation.
Focused Terminology Extraction for CPSs The Case of "Implant Terms" in Electronic Medical Records

Language Technology is an essential component of many Cyber-Physical Systems (CPSs) because specialized linguistic knowledge is indispensable to prevent fatal errors. We present the case of automatic identification of implant terms. The need of an automatic identification of implant terms spurs from safety reasons because patients who have an implant may or may be not submitted to Magnetic Resonance Imaging (MRI). Normally, MRI scans are safe. However, in some cases an MRI scan may not be recommended. It is important to know if a patient has an implant, because MRI scanning is incompatible with some implants. At present, the process of ascertain whether a patient could be at risk is lengthy, manual, and based on the specialized knowledge of medical staff. We argue that this process can be sped up, streamlined and become safer by sieving through patients' medical records. In this paper, we explore how to discover implant terms in electronic medical records (EMRs) written in Swedish with an unsupervised approach. To this aim we use BERT, a state-of-the-art deep learning algorithm based on pre-trained word embeddings. We observe that BERT discovers a solid proportion of terms that are indicative of implants.
A Study of Endpoint-Constrained Nonlinear Tracking Filters

The development and performance of an endpoint-constrained (EPC) extended Kalman filter (EKF) were published by Haug and Ford, where the EPC EKF was shown to outperform similar non-EPC EKFs against highly maneuverable antiship cruise missile (ASCM) trajectories. The purpose of this article is to resolve two issues identified during the original study. The first issue is that EKFs may not offer superior performance when the target's motion is highly nonlinear. The second issue is that the EPC EKF performs poorly against the high diver trajectory, where the target does not satisfy the EPC until the dive begins. This article presents a new filter that uses a modified version of the EPC and a multiple-model algorithm to achieve superior performance against a larger set of ASCM trajectories than the EPC EKF.
Innovation development information system for sales of traditional food processed product web based in the Cibinuang Village

Abstract This research aims to produce a web-based information system for the sale of traditional food products in Cibinuang Village. The research target to be achieved is the existence of a web-based sales information system that can be used to carry out promotional activities, sales and transactions. This information system for the sale of traditional food products was created to be implemented in Cibinuang Village to help people increase sales and increase their economic benefits. This research discusses how the process of designing, creating and developing an information system for the sale of traditional food products. The absence of an information system for the sale of traditional food products in Cibinuang Village is a serious problem that must be addressed. The people of Cibinuang Village find it difficult to increase sales of processed traditional food products during the Covid 19 pandemic. The methodology used in this research is the Rational Unified Process (RUP). The testing process is carried out using the Black Box Testing and the User Acceptance Test. Therefore, to solve this problem, we need an innovation in the sale of web-based traditional food products. It is hoped that the web-based information system for selling traditional food products in Cibinuang Village can help increase sales and the community’s economic benefits.
Motion Detection of Webcam Using Frame Differencing Method

It is the capability of humans and as well as vehicles to automatically detect object level motion that results into collision less navigation and also provides sense of situation. This paper presents a technique for secure object level motion detection which yields more accurate results. To achieve this, python code has been used along with various machine learning libraries. The detection algorithm uses the advantage of background subtraction and fed in data to detect even the slightest movement this system makes use of a webcam to scan a premise and detect movement of any sort; on the recognition of any activity it immediately sends an alert message to the owner of the system via mail. Any person requiring a surveillance system can use it.
Low Cost Multitask Mobile Robot for Military Application

In this work, we proposed the design and construction of an unconventional mobile robot. The robot will be able to move in different environments, including stairs, and will have a camera and wireless communication between the robot and the computer with an HMI interface. In the design proposal versatility, robustness and modularity are desired. The designed system works on subsystems ensuring the functionality of the robot modules, and a simple technical support. ROS was selected as the operating system due to its higher performance. Our proposed robot is capable of performing missions in environments similar to those that military personnel have access, but which are high risk. One of the main problems with most unmanned ground vehicles (UGVs) is their inability to climb stairs, which limits access to multiple workspaces. This robot presents an important advance in UGV research with military application, which can be complemented with robotic arms or other tools according to demand.
A Geometrical Framework for Amplitude Recursions: Bridging Between Trees and Loops

Various methods for the recursive evaluation of scattering amplitudes in quantum field theory and string theory have been put forward during the last couple of years. In these proceedings we describe a geometrical framework, which is believed to be capable of treating many of these recursions in a unified way. Our recursive framework is based on manipulating iterated integrals on Riemann surfaces with boundaries. A geometric parameter appears as variable of a differential equation of KZ or KZB type. The parameter interpolates between two associated regularized boundary values, which contain iterated integrals closely related to scattering amplitudes defined on two different geometries.
Functional orientation of information culture

The article deals with the analysis of the information culture functional orientation in its anthropological dimension ‒ as a reflection of the intellectual potential of the general material and spiritual culture of mankind formation and development. Philosophical analysis of the information culture functional orientation as a dynamic phenomenon, open to constant change and innovation, is carried out from the standpoint of technocratic, information technology and culturological approaches. It is noted that in the stages of information and communication revolutions (verbal, printing and technological), historical context, the dynamics of technical innovations has always outpaced the pace of information culture, so the complexity of information culture functions has become a response to global historical challenges. The study emphasizes that the information civilization development results in the expansion and complication of the spectrum of information culture functions in relation to society, namely: at the written stage of social development it is ideological, cultural, informational and regulatory; the stage of book printing expands the functions of information culture ‒ it is educational, communicative function of preserving social memory. In the conditions of global network society formation, there is an improvement and further functional orientation differentiation of information culture and its organic combination with organizational, digital and media culture. The management function of information culture is determined by the necessity of knowledge management for effective business. The information culture of virtual reality generates the alienation of social experience from its bearer, forming a transformational function, function of intercultural dialogue and a function of virtual construction of social reality. The determining factor of modern geopolitics is the active development of information warfare strategies, which necessitates the analytical and prognostic function of information culture as the ability to information reality analytical assessment and its development prediction. The conclusions emphasize that the functional orientation of information culture reflects the dialectical unity of the need for constant creation of new tools and ways of mastering the surrounding information reality, while preserving cultural heritage and social experience
POSTER: Revisiting Multipath QUIC Experiments and Comparing them with more recent Multipath TCP Implementations

Multipath QUIC is a promising protocol for future multipath communications. One early and often cited Multipath QUIC implementation has been presented by Quentin De Coninck and Olivier Bonaventure in 2017. Their implementation is based on quic-go and results are compared to Multipath TCP Version 0.91, showing performance benefits of Multipath QUIC in various scenarios. In this short paper, we reproduce their experiments and update Multipath TCP to Version 0.92 and later. More recent MPTCP implementations perform much better than Multipath TCP Version 0.91 and thus the performance gain compared to the mentioned Multipath QUIC implementation is not that significant anymore.
Study of the Problem of Preparation of Drinking Water from the Reservoir

The article covers the methods of water ozonation at the initial stage of natural water purification. The quality of drinking water after chlorination and the advantages of preliminary ozonation at the initial stage of natural water purification have been studied, and the formation of volatile halogenated compounds in the process of preparing drinking water using chlorine is considered. Methods of water disinfection, preventing the formation of volatile halogenated compounds, have been studied. A water purification technology has been developed that allows obtaining drinking-quality water from the reservoir with the removal of hydrobionts, organic substances, prevents the formation of volatile halogenated compounds, significantly increases the sanitary-hygienic and consumer properties of drinking water.
Adaptive multi-fitness learning for robust coordination

Many long term robot exploration domains have sparse fitness functions that make it hard for agents to learn and adapt. This work introduces Adaptive Multi-Fitness Learning (A-MFL), which augments the structure of Multi-Fitness Learning (MFL) [7] by injecting new behaviors into the agents as the environment changes. A-MFL not only improves system performance in dynamic environments, but also avoids undesirable, unforeseen side-effects of new behaviors. On a multi-robot coordination problem, A-MFL provides up to 90% improvement over MFL and 100% over a one-step evolutionary approach.
Blockchain in Supply Chain Management

Blockchain is a decentralized distributed ledger technology that enables the information to be shared among peers in a network but prevents it from being tampered. Ever since it came into limelight after the advent of Bitcoin in 2009 by Satoshi Nakamoto – all the businesses around the world are trying to find ways as to how this technology can be put into their work. One of the key applications of blockchain technology is for supply chain management. From the food that is consumed daily to the clothes worn – all the products reach to the consumer from the manufacturer through the supply chain consisting of several other intermediate entities. Thereby, the details of the products on the chain must be prevented from being tampered and at the same time must be available to provide traceability. This chapter explains the blockchain in supply chain management across several domains.
Hierarchical Ring Signatures Immune to Randomness Injection Attacks

We propose a modification of the hierarchical-ring-signature scheme, which may be regarded as an extension to a regular ring signature scheme. The scheme is defined over a structure of nodes, where each node is a root of its own tree, and its anonymity-set spans over all its leaf nodes. Our modified construction is resistant to an exposure of randomness from a signing device, on any level of the hierarchy. The proposed scheme is provably secure in a stronger security model, in which we allow a forger to inject the randomness into the signing device. We define the scheme to be secure if such an injection, will not give any advantage to the adversary and does not lead to a fresh forgery. The proposed scheme can be applied in scenarios with untrusted hardware, or weak pseudo-random number generators.
Rethinking the Body as a Humanistic Intervention – Teaching HCI with a Recognition of Multiplicity

Over the past decade, the proliferation of embodied interaction based on biosensing technologies and the internet of things (IoT) has increasingly brought academic attention to the humanistic concerns about the usage, the accessibility, and the interpretation of the human body in the form of data. The human body, which has been a rich domain for the exploration of biological mechanics and cultural significance, now is entering a new era when lived bodily experiences can be captured and represented in the abstraction of data. For an educator and practitioner who works with the intersection of body and technology, two pedagogical challenges that one might constantly face are: (1) how to keep a critical position while embracing the novel technologies; (2) how to deal with the tension between the multiplicity of the body discussed in humanities and the universalizing effect of electronic technologies. Particularly, in a country like China proud of her unique body tradition it is impossible to ignore the wider social, cultural and ethical context where the body is embedded. This article is a response to such challenges. By offering thoughts on the importance of introducing the discourse of the body in the humanities into the ever-expanding realm of human-computer interaction (HCI) studies and embodied interaction design in the context of classrooms at a technical university, I would like to argue that bringing the humanistic conversation of the cultural and philosophical diversity of the body into discussion can be a great complement to the HCI curriculum. Students will benefit a lot from the plural perspectives on the body discussed in humanities and get a valuable opportunity to rethink the role that technology plays in relation to the body. I situate this article within the larger picture of Humanistic HCI approaches, aiming at offering a reflexive examination of the renewed and renewing body-technology relations.
Inferring ownership domains from refinements

Ownership type qualifiers clarify aliasing invariants that cannot be directly expressed in mainstream programming languages. Adding qualifiers to code, however, often involves significant overhead and difficult interaction. We propose an analysis to infer qualifiers in the code based on developer refinements that express strict encapsulation, logical containment and architectural tiers. Refinements include: &lt;pre&gt;makeOwnedBy&lt;/pre&gt;, to make an object strictly encapsulated by another; &lt;pre&gt;makePartOf&lt;/pre&gt;, to make an object logically contained in another; &lt;pre&gt;makePeer&lt;/pre&gt;, to make two objects peers; &lt;pre&gt;makeParam&lt;/pre&gt;, to make an object more accessible than the above choices; or &lt;pre&gt;makeShared&lt;/pre&gt;, to allow an object to be globally aliased. If the code as-written matches the requested refinements, the analysis generates qualifiers that type-check; otherwise, it reports that the refinements do not match the code, so developers must investigate unexpected aliasing, change their understanding of the code and pick different refinements, or change the code and re-run the analysis. We implement the analysis and confirm that refinements generate precise qualifiers that express strict encapsulation, logical containment and architectural tiers.
Multi-agent software complex for researching the direction of development of the fuel and energy complex taking into account energy security “INTEC-A”

The article discusses the development of a new version of the INTEC software complex, designed to support research in the areas of development of the fuel and energy complex from the point of view of energy security, called INTEC-A. In the course of direct reengineering of this software complex, a multi-agent approach was used to expand its functionality in the future. In more detail, the article discusses the process of reengineering existing versions of a software package based on the two previous versions. The architecture of the SC “INTEC-A” is presented, the justification of the applied technologies is given. Also SC “INTEC-A” includes a database, the description of which is given. A computational experiment was carried out with energy experts to verify and test the performance of a SF.
Exploring the Landscapes and Emerging Trends of Reinforcement Learning from 1990 to 2020: A Bibliometric Analysis

Reinforcement Learning (RL) becomes increasingly important in recent years as the huge success of AlphaGo and AlphaZero. However, this technique is a not a newly born research topic, which originates from the well-developed dynamic programming method. In this paper, we explore the history of RL from the bibliometric perspective for the last 30 years, to capture its landscapes and emerging trends. We conduct comprehensive assessments of the RL technology according to articles related to RL in SCI database from 1990 to 2020, and extensive results indicate that reinforcement learning research goes up significantly in the past three decades, including a total of 9344 articles covering 96 countries/territories. Top five most productive countries are USA, China, England, Japan, Germany and Canada. There are 4507 research institutes involved in the field of RL and among them the top five productive ones are Chinese Academy of Sciences, University College London, Beijing University of Posts and Telecommunications, Tsinghua University and Northeastern University and Princeton University. Besides, top frequently adopted keywords with strongest citation burst are Genetic Algorithm, Dynamic Programming, Q-Learning, Mobile Robot, Wireless Sensor Network, Smart Grid, Big Data, Inverse Reinforcement Learning and Cognitive Radio, which demonstrate the emerging trends of this field. We claim the results shown in this paper provide a dynamic view of the evolution of “Reinforcement Learning” research landscapes and trends from various perspectives that is able to serve as a potential future research guide, and the way we demonstrate could also be adopted to analyze other research topics.