Reviewerly/exHarmony huggingface dataset:
Lucio Piccolo e la polifonia

The article presents an introduction to the secluded and polyphonic research of a great Italian poet of the twentieth century unjustly forgotten. Appreciated by Yeats, Pound and Montale, cousin of Tomasi di Lampedusa, Lucio Piccolo wrote a short but intense collection of poems, as the texts we propose in this anthology tries to demonstrate.
Application of Backend and Frontend Systems on Go-Baby Application in Bandung City

The purpose of this research is that researchers build basic aplications in solving problems that occur in housewives and career women, namely GO-baby application that provides facilities to find a place in caring for children and can provide security education, health and comfort for a child. Applications are buid from 2 parts, namely the first part in the society side such as housewives career women and the second part is the side of the provider of child care services. The application that is built will integrated between applications that are applied in the society and service providers through an Android based application and web based application. The results of this study will have a direct impact on both housewiver/career women, in providing child core solution that can be trusted while for child care services provider, protide convenience in the administration of child care services. Based on the function of the application, there are 2 parts that are given, namely to providers of child care services by providing an easy function of administrative data processing, including registration of child care services through online or offline, providing ease in processing data on childrens facilities, ease of payment report on income of child care services. Whereas for the comunity is the ease in the process of online registration and booking of child care services quickly and reliably.
Towards Real-Time Human Pose Estimation For Mobile Device

Human pose estimation, a challenging computer vision task of estimating various human body joints' locations, has a wide range of applications such as pedestrian tracking for autonomous cars, baby monitoring, video surveillance, human action recognition, virtual reality, gaming, gait analysis, etc. A majority of the research on the development of models for the task of human pose estimation has been focused on improving the accuracy of the task which also increases the complexity of the models. These models demand devices with high computational power to be deployed for real-world applications. Even though a lot of research has been focused on estimating the human pose from monocular images taken from cameras, the complexity of the models makes them impossible to be implemented on edge devices and embedded devices like mobile phones that have built-in cameras. This reduces the scope of applications where human pose estimation can be used. To address the issue, the research focuses on improving the performance of a baseline human pose estimation architecture by reducing the model size(number of parameters) and thereby its inference time without a significant loss in the accuracy. To improve the performance of the model, a structured Bayesian compression algorithm is used and the network is compressed by engineering the model based on the uncertainty of the parameters. The results show that the Bayesian compression method reduces the model size by around 65 percent with only a very little drop in the model accuracy. Also, the comparison of the inference time of the original baseline and the compressed model in an android device shows that the inference time is reduced by around 50 percent because of the reduction in the number of operations in the compressed model architecture.
The influence of long-term memory on working memory performance

The current research examined if previously stored representations in LTM necessarily aid working memory performance. Research has suggested that long-term memory representations for abstract colored shapes can facilitate WM performance when they are identical to representations in WM. A second goal of the study was to determine whether increasing interference in LTM limits facilitation from LTM on WM. Remembering multiple stimuli from the same semantic category can create interference in LTM that may decreases the accessibility of LTM representations during a WM task. In two experiments, participants completed an initial study phase in which objects were categorically (i.e., semantically) related or unrelated. Participants then completed a change detection task that included both previously studied and unstudied objects. In Experiment 1, an object changed into another object from a novel category. We found no evidence of facilitation from LTM on WM performance, as displayed by similar change detection accuracy for studied and unstudied pictures. Furthermore, we found no effect of semantic-relatedness. Change detection was similarly accurate when the studied objects were all semantically-unrelated, as when the studied objects were semantically-related, demonstrating that interference in LTM did not affect WM. In Experiment 2, we attempted to increase reliance on LTM representations by increasing difficulty in the WM task. The changed object on the post-change array came from the same category as the pre-change object. Like in Experiment 1, we did not find any evidence of LTM facilitation on WM performance: change detection accuracy was similar for studied and unstudied objects. Additionally, there was no effect of interference in LTM on WM performance: change detection accuracy was similar for semantically-related objects and semantically-unrelated objects. Therefore, for WM tasks with real-world objects identical to objects previously encoded into LTM, we can conclude that the LTM representations were not used to improve WM performance.
The Performance, Interoperability and Integration of Distributed Ledger Technologies

In the wake of the financial crisis of 2008, Bitcoin emerged as a radical new alternative to the fiat currencies of the traditional banking sector. Through the use of a novel kind of probabilistic ...
From the experience of teaching font composition at the KHGF III MPSU (within the discipline "Art of the book")

The problem of this research is the contradiction between the need to introduce the young generation to the culture of printed books as an aesthetic phenomenon and the lack of development of methods for studying font composition in art and pedagogical education. As research methods, we used the study of art history, design and methodical literature on a given topic and the practice of teaching font composition at the Art Graphic Faculty of MPSU during 2010 - 2020. The result of the research is a system of educational and creative tasks for students presented in the article, including: drawing letters of the Russian alphabet on a modular grid; using a font pen to write Gothic and Slavic fonts; a copy of a page or spread of a handwritten book; creating initials; creating a caligram; graphical interpretation of the phrase; title page design; book cover design. The result of using this system of educational and creative tasks was to increase awareness and interest in the students` work, improving their professionalism as artists and teachers.
A quest for better anomaly detectors

Anomaly detection is a very popular method for detecting exceptional observations which are very rare. It has been frequently used in medical diagnosis, fraud detection, etc. In this article, we revisit some popular algorithms for anomaly detection and investigate why we are on a quest for a better algorithm for identifying anomalies. We propose a new algorithm, which unlike other popular algorithms, is not looking for outliers directly, but it searches for them by removing the inliers (opposite to outliers) in an iterative way. We present an extensive simulation study to show the performance of the proposed algorithm compared to its competitors.
ДИАГНОСТИЧЕСКИЕ МЕТОДИКИ ОЦЕНКИ УРОВНЯ ПАТРИОТИЧЕСКОГО ВОСПИТАНИЯ ПОДРОСТКОВ

Abstract. Diagnostic methods for complex assessment of the patriotic education level among teenagers are presented in the given article. Adolescence, its ambitions and ideals have been outlined. The goal of the article is to form a relevant selection of diagnostic methods that allow making a comprehensive study of development of patriotic qualities among teenagers. The selection of these methods is carried out on the basis of legal normative documents relating to patriotic education.
ALGORITMA NAIVE BAYES UNTUK PENENTUAN PKH (PROGRAM KELUARGA HARAPAN) BERBASIS SISTEM PENDUKUNG KEPUTUSAN (STUDI KASUS : KELURAHAN KARANGANYAR GUNUNG SEMARANG)

The Family Hope Program is a program of providing conditional social assistance to poor families that are designated as PKH beneficiary families. As a conditional social assistance program, PKH opens access to poor families especially pregnant women and children to take advantage of the various health service facilities (Faskes) and educational service facilities (Fasdik) available around them. The benefits of PKH also have begun to be encouraged to cover people with disabilities and the elderly by maintaining the level of social welfare in accordance with the mandate of the constitution and the President's Nawacita. In the area of Karanganyar Gunung Village in Semarang, this assistance is given if the prospective recipient is deemed to have met the requirements and criteria for example job status, house status, number of dependents, education component, electricity expenditure, and water. This research was conducted because of the many weaknesses in the scoring system used. In Karanganyar Gunung Village, the assessment is still subjective and manual, this is of course in the distribution of PKH (Family Hope Program) aid recipients is not evenly distributed and mis-targeted. Therefore, this research was conducted to create a decision support system called E-PKH that uses the Naive Bayes classification algorithm method which produces the labels and NOT WORTH which has 5 variables for the process of selecting citizens who will get help and then applied in CodeIgniter's PHP framework programming. The results of this study are in the form of a system that will have 2 actors namely the RT as the data collector and the sub-district as the selectors. So that if the residents are confirmed to have received PKH (Family Hope Program) assistance, the RT can check the continuation of the assistance whether it is approved or rejected. Hopefully in the future this application can help in determining assistance from the government not only PKH (Family Hope Program), but for other assistance.
Task Taxonomy for Autonomous Unmanned Aerial Manipulator: A Review

Abstract The development of unmanned aerial manipulators (UAMs) allows a novel class of flying robots to carry out a wide variety of tasks in difficult environments due to their versatility and autonomy. However, the different tasks that can be carried out might call for different control strategies. To this end, one needs to categorize the possible tasks accomplishable by UAMs. This paper proposes a novel taxonomy, which is the result of a video information acquisition methodology combined with a review of research works in the literature. The different elements of the taxonomy are separated using a higher level of abstraction in a way that the general description of the tasks are considered and not its operational details. To illustrate the fact that algorithms must adapt to different tasks, a description of the usual UAM architecture is carried out. Four categories of criteria are used in the taxonomy to differentiate all possible tasks. These categories are the interaction type, the actual task definition, the environment condition and the time sensitivity of the task. This taxonomy forms the basis for possible machine-learning-based task classifiers that could be used in autonomous UAMs control and mission planning. Multiple tasks defined in the taxonomy can be combined to accomplish complex missions.
Investigating the emergence of expression representations in a neural network trained to discriminate identities

A picture of a face provides information about both someone’s identity and their facial expression. According to traditional view, identity and expression recognition are performed by separate mechanisms. However, recent studies show that recognition of identity and expressions may not be as disjointed as originally thought: face identity can be decoded from response patterns in pSTS (Anzellotti et al. 2017, Dobs et al. 2018), a region previously implicated in expression recognition. Joint processing of expressions and identity might be driven by computational efficiency. In support of this hypothesis, O’Nell et al. 2019, found that artificial neural networks (ANNs) trained to recognize expressions spontaneously learn features that support identity recognition. Here, we investigate transfer learning in the reverse direction, testing whether ANNs trained to distinguish between identities learn features that support recognition of facial expressions. We trained a siamese architecture without handcrafted features on a face verification task. The network achieved 77.22% accuracy. To see if the network spontaneously learns features that support expression recognition, we froze its weights and used features in its hidden layers as inputs to a linear-layer trained to label expressions. We will discuss the generalization performance from identity to expressions of simpler networks trained on a single dataset (which achieve low accuracy in both identity and expression tasks when applied to the Karolinska Directed Emotional Faces dataset), and the performance of more complex networks trained on multiple datasets.
Pengaruh Gaya Belajar Dan Kedisiplinan Terhadap Hasil Belajar Siswa Kelas V SD Negeri Kleco 2 Surakarta Tahun Pelajaran 2018/2019

The purpose of this study was to examine: (1) the affect of learning styles on learning outcomes of fifth grade students in SD Negeri Kleco 2 Surakarta. (2) the affect of learning discipline on the learning outcomes of fifth grade students in SD Kleco 2 Surakarta. (3) how much the affect between learning styles and discipline on learning outcomes of fifth grade students of Kleco 2 Elementary School Surakarta. This research is quantitative research. The population is 61 students, namely all fifth grade students of SD Kleco 2 Surakarta. Sampling was done using the proportionate stratified random sampling method that involving 53 students. Instruments used questionnaires and documentation. The data analysis technique uses multiple linear regression with a significance level of 5%. The results of the study were obtained: (1) learning styles affect learning outcomes by 11%. (2) learning discipline affects 8% of learning outcomes. (3) learning styles and discipline of learning affect learning outcomes by 14%. (cognitive, affective, psychomotor).
Development of Buru Local Language Conversation Material Based on the Communicative-Interactive Approach for Elementary School Students

The Buru Local Language is one of the endangered languages to be extinct in Maluku. Thus, thisresearch aimed at producing a Buru language textbook for students of elementary schools inNamlea to help their learning become more comfortable and more enjoyable based oncommunicative-interactive approaches and expressing their feasibility. This research appliedresearch and development (R&D) using the Dick and Carey model. The product has beenevaluated through expert validation, linguists, and instructional design experts. Data wereanalyzed quantitatively and qualitatively. The results of this study indicated that the Buru locallanguage textbook for elementary school students in Namlea had been developed in accordancewith procedures and the determination of themes based on needs analysis so that it becomes areal and meaningful theme for students' lives and activities, including introduction, andconversation around the school. The test results of the conversation material component showthat: content experts scored the product development as very good and feasible, whileinstructional design experts considered that most of the parts of instructional materials were veryreasonable. Besides, individual test subjects assumed that most elements of the learning materialare excellent. Language teachers considered most of the textbook components to be veryfeasible, and field testing subjects also rated them as very well.
Digital era in times of pandemic: Education, color, knowledge and communication

This work focuses on social transformations and changes in the communication of knowledge in times of pandemic by COVID-19, using color as an example as a visualizing element of social and technological changes, where the images and the virtual world becomes essential for communication and knowledge With a qualitative approach, we work from a critical theory by the analysis of texts, images and practical bases, to demonstrate the virtuality effect as a transforming element in learning, communication, knowing and color relationship with the society in the actuality © 2020, Universidad del Zulia All rights reserved
Library Research Guides: Image Resources: Home

This guide contains image resources available through IU Libraries (both campus specific and university-wide) as well as information about open access images.
Performance Design Assistance by Projector-Camera Feedback Simulation

In this paper, we propose a simulation method for a projector-camera system that aims to design assist for the installation art using a projector-camera feedback system. The simulator requires a precise estimation of the optical response between the camera and the projector via the projection target. For this requirement, we model the optical response with a non-linear projector response model and Light Transport matrices. Experimental results show our proposed simulator successfully reproduced the behavior of the pixel feedback animation that is a illumination projection used un-stable condition in addition to the static appearance manipulation.
Anthropology and Design: Exchanges, Entanglements, and Frictions

Nowadays, cultural anthropologists and designers are more connected than ever. It is not unusual to find them working side by side on the same team, together with engineers, marketers and other business operators. How did we get to this point? What are the research threads that opened the way to this intersection between design and anthropology? Where are we heading now? In this introductory essay, we trace the history of the mutual attraction between anthropology and design, highlighting connections, exchanges as well as frictions and pitfalls. After taking into consideration some research routes and transdisciplinary projects, we examine the limits of the current collaborations between anthropologists and designers. Finally, as cultural anthropologists we reflect on how the intersection between anthropology and design has led to a more general rethinking of cultural anthropology, in relation to both its object (humans and culture) and its method (ethnography). This rethinking goes far beyond the specific field of design anthropology, hinting at the emergence of an anthropology of the future.
On the Methods and Strategies of Language Learning in the Background of Computer Technology

Abstract The development of computer technology has brought many potential benefits to language learners, and is beneficial to both of language teaching and learning. This paper summarizes many different characteristics and advantages of language learning in a computer environment. Based on the author’s practical experience, form of learning methods in the new environment, and puts forward corresponding language learning strategies for the purpose of adapting to development and improving efficiency.
Artificial Intelligence: Powering Human Exploration of the Moon and Mars

Artificial Intelligence (AI) is a growing field of computa- tional science techniques designed to mimic functions per- formed by people. Advancements in autonomy will depend on a portfolio of AI technologies. Automated planning and scheduling is a venerable field of study in AI, and is needed for a variety of mission planning functions. Plan execution technology is less well studied, but important for auton- omy and robotics. Specialized forms of automated reason- ing and machine learning are key technologies to enable fault management. Over the past decade, the NASA Au- tonomous Systems and Operations (ASO) project has devel- oped and demonstrated numerous autonomy enabling tech- nologies employing AI techniques. Our work has employed AI in three distinct ways to enable autonomous mission op- erations capabilities. Crew Autonomy gives astronauts tools to assist in the performance of each of these mission oper-ations functions. Vehicle System Management uses AI tech- niques to turn the astronaut's spacecraft into a robot, allow- ing it to operate when astronauts are not present, or to reduce astronaut workload. AI technology also enables Autonomous Robots as crew assistants or proxies when the crew are not present. When these capabilities are used to enable astro- nauts to operate autonomously, they must be integrated with user interfaces, introducing numerous human factors con- siderations; when these capabilities are used to enable vehi- cle system management, they must be integrated with flight software, and run on embedded processors under the control of real-time operating systems.We first describe human spaceflight mission operations capabilities. The remainder of the paper will describe the ASO project, and the development and demonstration per- formed by ASO since 2011. We will describe the AI tech- niques behind each of these demonstrations, which include a variety of symbolic automated reasoning and machine learn- ing based approaches. Finally, we conclude with an assess- ment of future development needs for AI to enable NASA's future Exploration missions.
‘Tramontare’ nei dialetti italiani: un excursus onomasiologico e motivazionale

Setting’ in Italian Dialects: an Onomasiological and Motivational Excursus. This study aims to identify and analyze the main lexotypes for the notion of ‘setting’ in Italian dialects. The comparative analysis of data offered by the Italian Linguistic Atlas and by some regional atlases reveals a fair variety of lexical types which in most cases are distributed in continuous and homogeneous areas, even though the most recent regional atlases reveal an evident process of Italianization signaled by the affirmation of the Italian type ‘tramontare’. On the motivational level, it can be observed that the most productive category is made up of verbal forms that express a descending motion for which the meaning ‘setting’ represents a metaphorical extension of the semantic value of the predicate.
동해와 일본해 표기를 둘러싼 한일 대학생들의 인식

At the United Nations Conference on the Standardization of Geographical Names (UNCSGN) held in New York in August 1992, South Korea and North Korea raised the justification of the name of the East Sea while raising the injustice of the name of the Sea of Japan, which is commonly used in the international community. However, in the international community, the Japanese government has denied names other than the Sea of Japan because it is the only name established in the 19th century in the West. In the meantime, debates and disputes over the East Sea and the Sea of Japan have continued. Therefore, this study investigated and analyzed the perceptions of Korean and Japanese university students on the names of the East Sea and the Sea of Japan as part of the problem-solving process. As a result, Korean university students were found to have negative images and emotions about the Sea of Japan. Also, as a standard geographical name for the international community, Korean university students prefer the East Sea, and Japanese university students prefer the East Sea/Sea of Japan. In addition, as a solution to the problem, both Korean and Japanese students responded the most to the discussion between the Korean and Japanese governments.