Reviewerly/exHarmony huggingface dataset:
The Impact of Route Descriptions on Human Expectations for Robot Navigation

As robots are deployed to work in our environments, we must build appropriate expectations of their behavior so that we can trust them to perform their jobs autonomously as we attend to other tasks. Many types of explanations for robot behavior have been proposed, but they have not been fully analyzed for their impact on aligning expectations of robot paths for navigation. In this work, we evaluate several types of robot navigation explanations to understand their impact on the ability of humans to anticipate a robot’s paths. We performed an experiment in which we gave participants an explanation of a robot path and then measured (i) their ability to predict that path, (ii) their allocation of attention on the robot navigating the path versus their own dot-tracking task, and (iii) their subjective ratings of the robot’s predictability and trustworthiness. Our results show that explanations do significantly affect people’s ability to predict robot paths and that explanations that are concise and do not require readers to perform mental transformations are most effective at reducing attention to the robot.
Using Adversarial Defences Against Image Classification CAPTCHA

CAPTCHAs are widely used today as a reliable method to set up a Turing test to discern between humans and computers. With the improvements in AI technology, many AI hard problems could now be solved with new techniques, for example, better Optical Character Recognition models. This work highlights the possibility of using adversarial defences techniques such as Spatial smoothing and JPEG compression to defeat image classification CAPTCHAs.
Syntactic Features of Left Dislocation Constructions in Post-Exilic Biblical Hebrew

Left dislocation constructions involve a constituent that precedes the matrix sentence and is resumed within the sentence by a coreferential resumptive element. Cross-linguistically, left dislocation constructions exhibit considerable syntactic variation, which can be described on the basis of (1) the grammatical features of the resumptive element, (2) the relationship of the left dislocated constituent to the resumptive element, especially with respect to case agreement, and (3) the relationship of the left dislocation construction to the broader syntactic context. In this essay we describe the syntactic features of left dislocation constructions in the biblical books traditionally and uncontroversially identified as post-exilic—Ezra, Nehemiah, Daniel, and Esther. We identify ways in which trajectories of change in Biblical Hebrew can be identified in these constructions as well as syntactic features that are stable within the biblical corpus.
Uncertainty-based Cross-Modal Retrieval with Probabilistic Representations

Probabilistic embeddings have proven useful for capturing polysemous word meanings, as well as ambiguity in image matching. In this paper, we study the advantages of probabilistic embeddings in a cross-modal setting (i.e., text and images), and propose a simple approach that replaces the standard vector point embeddings in extant image-text matching models with probabilistic distributions that are parametrically learned. Our guiding hypothesis is that the uncertainty encoded in the probabilistic embeddings captures the cross-modal ambiguity in the input instances, and that it is through capturing this uncertainty that the probabilistic models can perform better at downstream tasks, such as image-to-text or text-to-image retrieval. Through extensive experiments on standard and new benchmarks, we show a consistent advantage for probabilistic representations in cross-modal retrieval, and validate the ability of our embeddings to capture uncertainty.
How statistics became a “forbidden trick” for Soviet psychologists.

This study reconstructs the process by which quantitative methods were gradually displaced from Russian psychology in the early Soviet period. By the early 1930s, there was a decline in the importance of mathematical methods in psychological disciplines. It was accompanied by the rejection of some mathematical methods and the ideologization of the description of quantitative methodology. After the Central Committee's decree "O pedologicheskikh izvrashcheniyakh v sisteme Narkomprosov" ("On Pedological Perversions in the System of Narkomproses") of 1936 was published in the pages of national newspapers, statistical practice was completely discredited. At the same time, textbooks on statistics in psychological disciplines were withdrawn from circulation. Scientists' attempts to defend the neutrality of scientific methods were unsuccessful and were publicly criticized. As a result, statistical practice almost completely disappeared from psychological disciplines after 1936, although there was no outright ban on the use of statistics. There are two possible reasons for this. First, psychologists may have abandoned statistical practices as a result of ideological pressure. Second, owing to the elimination of mathematical methods, internal disciplinary contradictions-in particular, those characteristic of pedology-were eliminated. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
Modeling the Cooperative Process of Learning a Task

In this paper, we propose a mathematical model for a Transactive Memory System (TMS) involved in the cooperative process of learning a task. The model is based on an intertwined dynamics involving both the individuals level of expertise and the interaction network among the cooperators. The model shows that if all the agents are non-stubborn, then all of them are able to acquire the competence of the most expert members of the group, asymptotically reaching their level of proficiency. Conversely, when dealing with all stubborn agents, the capability to pass on the task depends on the connectedness properties of the interaction graph.
Rancang Bangun Sistem Informasi Rekam Medis Klinik Rawat Jalan Berbasis Web

The world of health is currently experiencing very rapid progress both in developed and developing countries, the clinic is one of the service units engaged in the health sector, with the development of Science and Technology (IPTEK) in the health sector, health service providers are required to Providing effective and efficient services is an absolute requirement in order to achieve optimal service. One of the vital parts in health services is the medical record unit. In the recording of medical record documents, there are still many things that are done conventionally, resulting in delays in information, therefore a computerized/electronic recording method is needed.&#x0D; Medical record documents are made electronically to avoid lost documents, take up storage space, and avoid inconsistencies in filling out medical record documents. The completeness of the items contained in the medical record also greatly affects the quality of the information produced. The web-based medical record information system allows various information from various sources to be stored and processed and communicated to retrieve the processed results.&#x0D; By applying information technology in managing medical record data, it is able to provide convenience in managing medical record data to making the required reports. The purpose of this study is to create a web-based clinical medical record information system application and to find out the flow and procedures of a web-based clinical medical record information system, so that data and information can be stored and managed effectively and efficiently. This research is expected to provide convenience in recording medical records in outpatient clinics and can provide better services to be able to improve the quality of service to patients.
Rural Libraries of Chuvashia are Keepers of the Language and Ethnic Culture of the People

In the context of globalization and internationalization of culture, the problems of ethnic groups development and preservation of their identity and originality, especially their native language, are of particular relevance. Traditional forms of native language development, cognition and direct communication include reading, writing, oral counting, live communication at home and in social events, as well as collective forms of leisure. Both urban and rural residents began to turn to books and periodicals less often that naturally led to narrowing of the vocabulary, the general outlook of people, as well as to the decrease in their cultural level and loss of ethnic identity. As sociological studies show, there is decrease in interest in the book in general and in the library in particular. This tendency is clearly manifested in the attitude to the printed word in the Chuvash language. Rural libraries, being the leading institutions in the socio-cultural centre of rural settlement and promoting books and reading to the masses, are the fighters for the purity of their native language, for the preservation of age-old traditions and, in general, the ethnoculture of the people. The paper shows the forms of cultural and educational activities of rural libraries of Chuvashia at various stages of modern history. Special attention is paid to the development of the network and the deepening of the content of their educational and social mobilization work in direct connection with collective farm construction. The author notes with regret that due to the collapse of the USSR (1991), the destruction of collective farms, the growth of unemployment, the departure of able-bodied men to find work elsewhere, there was a sharp discrepancy in the income level of the majority of villagers. Market relations have led to the expansion of paid services, including education and culture. In such conditions, libraries with free access to their book collections have become the only centres of rural culture. Instead of the traditional “place of lending books”, they have turned into publicly accessible socio-cultural centres of the village, into keepers of the language and ethnoculture of the people. Computer technologies and Internet access attract readers to rural libraries, which have again proved to be in demand. The article is based on the analysis of published sources, Internet resources, current library archives, using the comparative historical method.
Visualising information in the educational process

Having exhausted the possibilities of intensifying the learning process in direct textual presentation of educational information, pedagogy turned to the patterns of activity manifestations of human mental functions. Overcoming the problems that have arisen with the massive penetration of clip thinking into educational processes requires both a significant modernisation of the educational process itself, and careful consideration of the features of the pedagogic situations created and the formation of an active attitude of teachers involved in the processes of upbringing pupils. The article examines the changes in the positions of participants in the educational process in connection with the intensively implemented technologies of visual presentation of educational information. The features of perception of oral and visualised educational information are described. The positive and negative features of the use of technologies focused on the development of visual thinking in pupils are noted. Aspects of the fractal movement of educational information are highlighted. Difficulties are noted in the introduction of technologies that apply procedures and methods of visual presentation of educational information. Some characteristics of the processes of creating visual images for pupils and their role in the didactic provision of the educational process are presented.
Low Degree Testing over the Reals

We study the problem of testing whether a function $f: \mathbb{R}^n \to \mathbb{R}$ is a polynomial of degree at most $d$ in the \emph{distribution-free} testing model. Here, the distance between functions is measured with respect to an unknown distribution $\mathcal{D}$ over $\mathbb{R}^n$ from which we can draw samples. In contrast to previous work, we do not assume that $\mathcal{D}$ has finite support. We design a tester that given query access to $f$, and sample access to $\mathcal{D}$, makes $(d/\varepsilon)^{O(1)}$ many queries to $f$, accepts with probability $1$ if $f$ is a polynomial of degree $d$, and rejects with probability at least $2/3$ if every degree-$d$ polynomial $P$ disagrees with $f$ on a set of mass at least $\varepsilon$ with respect to $\mathcal{D}$. Our result also holds under mild assumptions when we receive only a polynomial number of bits of precision for each query to $f$, or when $f$ can only be queried on rational points representable using a logarithmic number of bits. Along the way, we prove a new stability theorem for multivariate polynomials that may be of independent interest.
A Study of the Possibility of Usage Motion Vectors of Compressed Videos to Create Video Identification

The use of motion vectors for identifying video sequences has been well studied (in the framework of research on the topic CBCD – Content-Based Copy Detection ‒ detecting copies of videos based on content analysis). This makes it possible to check the similarity of two video fragments or search for a fragment in a larger video sequence. Existing and well-known methods for forming identification datasets typically use complete video stream decoding. The authors suggested using the motion vectors of a compressed video stream, which reduces the computational costs for identifying video sequences and uses simplified algorithms to generate identification data. Unlike the previously proposed methods, which implement either modified video codecs or obsolete ones, the authors propose using data formed by compression codecs that are used in the most common video hosting platforms (Youtube, Vimeo, etc.) The possibility of forming an automated system of comparing video sequences, along with its possibilities and limitations, will be studied in the following works.
Analisis Sentimen Kata Anjay pada Media Sosial Twitter Dalam Kajian Linguistik Komputasi

Language serves as a means of supporting activities, ideas, and human behavior. Every form of human life can be expressed in language. Language in everyday use depends on the user and the situation of use. Because of these two things, various variations of language are used in communication. In mid-2020, Indonesia was shocked by the ban on the use of the word anjay. The purpose of this study was to determine the classification of text mining methods in filtering the word anjay, to find out how the sentence structure is in each tweet, to find out how the nuances of the meaning of the word anjay in each tweet. From the k-fold cross validation process, the average accuracy result is 50%, the precision result is 59.2%, the recall result is 47.3%, and the f-measure result is 41.2%. The word anjay is found in phrases or nouns 252 tweets, verbs 232 tweets, adjectives 187 tweets, pronouns 32 tweets, numerals 16 tweets, prepositions 12 tweets, and adverbs 11 tweets. The word anjay is found in 350 tweets of declarative sentences, 283 exclamative tweets, 78 interrogative tweets, and 31 imperative tweets. The word anjay has various interjections, including; interjection of admiration, interjection of wonder, interjection of gratitude, interjection of surprise, interjection of hope, interjection of anger, interjection of curses, and interjection of hope. In terms of nuances of meaning using redundancy, the word anjay has no influence in a sentence. The word anjay serves as an affirmation of the core of a sentence.
Encouraging the Motivation of Students in Primary School - A Case Study

The aim of the research is to examine the current practice of encouraging motivation for learning in the teaching process in the elementary school “Dr Boško Vrebalov” in Melenci from the perspective of teachers and students. The sample of students consisted of 22 teachers and 159 students. Two instruments, constructed in the form of a five-point Likert-type scale, were used in the research: the Instrument for Teachers and the Instrument for Students. The applied instruments collected data on the prevalence of procedures for stimulating students’ motivation to learn from the perspective of teachers and students. Also, the opinion of students on the motivational role of the observed procedures of the teaching process on the motivation to learn was examined. Motivational procedures included three segments: preparation and planning of the teaching process, activities of teachers during the teaching process and the use of information and communication technology (ICT) in teaching. The results presented in this paper showed that all the observed procedures during the planning of teaching and learning, as well as the procedures related to the application of ICT, are very common in the teaching process. With minor deviations, there is agreement between teachers and students on their representation. The lowest prevalence and the greatest disagreement in the opinion of teachers and students concernen the application of ICT in teaching. Teachers notice that students use ICT to a lesser extent in teaching in relation to students’ opinions. The obtained results showed that students assigned a high motivational role to all examined procedures, which suggests that students should be more stimulated to use computers in teaching and extracurricular activities for educational purposes.
E-BOOK EKONOMI BERBASIS KOMIK DIGITAL SEBAGAI MEDIA UNTUK MENINGKATKAN HASIL BELAJAR

The aim of economic e-book development based digital comics is as a medium to improve learning outcomes. The development stage employed Borg and Gall’s model consisting of 10 stages and this development is limited to the eighth stage: large-scale tryout. The e-book tryout stage was conducted through expert validation and tryout with students. The instruments used in this research were questionnaire and test. The method used was pretest posttest control group design. Considering the result of t-test, it could be found that the posttest value of experiment class was better (84.29), while that of control class was only 79.80. Furthermore, in the effectiveness test on digital comic-based economy e-book using t-test withy IBM SPSS 20 software help, it could be seen that the significance value was 0.000 and this value was less than 0.05, meaning that H1 was supported. This value was confirmed with tstatistic of 3.804 &gt; ttable of 2.021. It suggested that the mean score of learning outcomes for experiment class students was better that that for control ones and it could be concluded that the digital comic-based economy e-book effectively improved the students’ learning outcome.
Analysis of brain tumour MRI with stress level using frequency analysis

The Computing science applied to determine the solutions for medical, science and business domain. The Data mining techniques used to identify the features and applied to solve the challenging issues in the domains. This work attempted to fetch the draw brain MRI and converted to computable format. The converted images are used form the frequent wave and classified based on the mode. The relationship between the stress level and affected brain neuron activeness relationship identified and presented as part of the paper . The result shows that the highly affected neurons stress levels are high.
A brief review on Multi-Agent System Approaches and Methodologies

Agents are understood by definition as entities that interact with their environment and also with other agents. Thus, when two or more agents are able to work together in order to solve a common problem, they form a multi-agent system (MAS). MAS are systems that integrate a set of agents that interact, communicate and coordinate to achieve the established objectives. MAS are designed to meet a set of objectives according to a set of rules and standards. This article briefly summarizes different MAS classifications and methodologies that have been extensively used in the literature.
Language-Grounded Indoor 3D Semantic Segmentation in the Wild

Recent advances in 3D semantic segmentation with deep neural networks have shown remarkable success, with rapid performance increase on available datasets. However, current 3D semantic segmentation benchmarks contain only a small number of categories -- less than 30 for ScanNet and SemanticKITTI, for instance, which are not enough to reflect the diversity of real environments (e.g., semantic image understanding covers hundreds to thousands of classes). Thus, we propose to study a larger vocabulary for 3D semantic segmentation with a new extended benchmark on ScanNet data with 200 class categories, an order of magnitude more than previously studied. This large number of class categories also induces a large natural class imbalance, both of which are challenging for existing 3D semantic segmentation methods. To learn more robust 3D features in this context, we propose a language-driven pre-training method to encourage learned 3D features that might have limited training examples to lie close to their pre-trained text embeddings. Extensive experiments show that our approach consistently outperforms state-of-the-art 3D pre-training for 3D semantic segmentation on our proposed benchmark (+9% relative mIoU), including limited-data scenarios with +25% relative mIoU using only 5% annotations.
DGECN: A Depth-Guided Edge Convolutional Network for End-to-End 6D Pose Estimation

Monocular 6D pose estimation is a fundamental task in computer vision. Existing works often adopt a two-stage pipeline by establishing correspondences and utilizing a RANSAC algorithm to calculate 6 degrees-of-freedom (6DoF) pose. Recent works try to integrate differentiable RANSAC algorithms to achieve an end-to-end 6D pose estimation. However, most of them hardly consider the geometric features in 3D space, and ignore the topology cues when performing differentiable RANSAC algorithms. To this end, we proposed a Depth-Guided Edge Convolutional Network (DGECN) for 6D pose estimation task. We have made efforts from the following three aspects: 1) We take advantages ofestimated depth information to guide both the correspondences-extraction process and the cascaded differentiable RANSAC algorithm with geometric information. 2)We leverage the uncertainty ofthe estimated depth map to improve accuracy and robustness ofthe output 6D pose. 3) We propose a differentiable Perspective-n-Point(PnP) algorithm via edge convolution to explore the topology relations between 2D-3D correspondences. Experiments demonstrate that our proposed network outperforms current works on both effectiveness and efficiency.
The Website “Pedagogical Communication” as a Means of Developing a Teacher’s Communicative Skills in the Setting of Digitalisation of Educational Processes

The purpose of the study is to substantiate the need to expand the list of teachers’ relevant communicative skills in the setting of professional interaction in the electronic digital educational environment through the instrumental potential of the authors’ thematic website. The paper clarifies the importance of using electronic digital teaching aids for the development of communicative skills of a modern teacher, emphasises the relevance of using a “mixed” format of education, which includes the advantages of electronic digital and traditional classical teaching aids for the development of a teacher’s communicative skills. Scientific novelty of the study lies in proposing the use of the authors’ website “Pedagogical Communication” as the main element in the formation and adjustment of an individual educational trajectory in the context of developing a teacher’s communicative skills. As a result of the study, the list of the main educational tools for the development of a teacher’s communicative skills has been formalised and important positive effects of their use have been specified.