Reviewerly/exHarmony huggingface dataset:
Emergent dimensions underlying human perception of the reachable world

Near-scale, reach-relevant environments are the interface of our manual interactions with the physical world. Recent efforts have begun to probe perceptual and neural representations of naturalistic visual experience at this scale (Josephs & Konkle, 2019; Josephs & Konkle, 2020). Here, we use a computational approach to uncover major dimensions that can parameterize these spaces and predict human similarity judgments. In a large-scale online experiment, 1.2 million odd-one-out judgments were obtained on triplets sampled from 987 images of reachable-scale spaces (hereafter “reachspaces”), drawn from 329 different categories (N = 3,112 Turkers). This yielded a partial sampling of the similarity structure among the images. We then generated a Sparse Positive Similarity Embedding (Hebart et al., 2020), which is a predictive model of the full similarity structure, in which each image is formulated as a point in a multi-dimensional space, and the dimensions are inferred given sparse and positive encoding constraints. This procedure yielded a 31-dimensional embedding that predicted odd-one-out judgments with 59.8% accuracy (chance=33%, noise ceiling=66.3%). In a validation experiment (N=322), we fully sampled pairwise dissimilarities among a subset of 45 images, and found that this closely correlated with the dissimilarity structure predicted by the model (r = 0.87). K-Means clustering over pairwise dissimilarities derived from the embedding showed two major distinctions among reachspaces: food-related vs non-food reachspaces, and digital vs analogue reachspaces. Additionally, examination of the 31 dimensions comprising the embedding revealed interpretable attributes, e.g. “entertainment-related” (i.e. chessboard, poker table), “navigation-related” (i.e. steering wheels, cockpits), “storage-related” (i.e. drawers, shelves), and “cluttered” (i.e. messy desks or tables). Overall, these dimensions highlight differences in the functions, affordances, and visual appearances of different reach-relevant spaces and suggest that the similarity structure among reachspaces is related to the actions they support. These results provide a novel accounting of the representational structure of the reachable world.
Music education in the context of new information and distance technologies

The article is dedicated to the analysis of forms and methods of application of information technologies in the educational process of children’s art schools in the implementation of programs in the field of musical performance. The article considers the synthesis of the unconditional preservation of the existing traditions of the primary level of the Russian music school and the methodological expediency of using new technologies in the educational process of children’s art schools. Specific software developments, electronic educational resources are proposed for use, the application effect in the educational process is described. The article shows that the introduction of new musical information technologies provides additional opportunities for musicians when working with musical scores, orchestral parts, when performing creative tasks in subjects of the theoretical cycle. The article also discusses and analyzes the interactive educational programs of the series «Playing with Music».
KEVALIDAN BUKU AJAR ENSIKLOPEDIA BERBASIS POTENSI LOKAL PADA SUB MATERI INVERTEBRATA KELAS X MIA

This study aims to develop a valid encyclopedia textbook based on local potential on Invertebrate sub-material which is valid, which can be used as a reference for students in the Class X MIA Invertebrate sub-material. The encyclopedia developed is in the form of a textbook that discusses Invertebrate material combined with local potential in Takalar Regency in the form of the sea, the pictures in the encyclopedia developed are original images obtained from the results of Bioecological sampling using the LIT (Line Intercept Transcet) technique. This type of research is a type 4-D development research developed by S Thiagarajan, Dorothy S, Semmel, and Melvyn I Semmel, this type of development consists of 4 stages, the first stage is Define, the second stage is design, the third stage development, and the fourth stage of dissemination, but the research carried out by researchers only reached the validation level development stage, because the Covid-19 pandemic situation did not allow researchers to carry out trials and the deployment stage in the field.
An Exploration of Cultural Translation Strategy for the Chinese Winter Olympic Games Considering Semantic Domain Language Model

This paper introduces the strategy of cultural translation of the Chinese Winter Olympic Games based on the design model of basic language translation. Taking the cultural translation of the Chinese Winter Olympic Games as an example, it expounds and analyses the reform process of the translation, including teaching objectives, teaching contents, teaching methods and the evaluation of foreign translators. The reform of the cultural translation of the Chinese Winter Olympic Games is based on the guidance of the cultural translation of the Chinese Winter Olympic Games, and the final reform plan is determined by collecting a large number of empirical data. The proposed reform plan for the cultural translation of the Winter Olympic Games in China has important implications for other colleges and universities to explore the strategies of cultural translation of the Olympic Games in China.
Native or Web or Hybridwhich is better for Mobile Application

Mobile application technologies developing rapidly.  There are numerous OS and system available in today’s market. There are three types of main development methods in mobile application, which are Native, Web and Hybrid. These Hybrid mobile app technologies make easy to develop sound mobile application comparable to Native mobile application. These Hybrid mobile app technologies perform better compared to these native mobile app technologies. Hybrid mobile application technology provides flexibility for cross-platform as well as any mobile OS.
asymmetries of matter)

(asymmetries of matter) is a work for chamber ensemble comprised of voice, trumpet, trombone and bass clarinet, as well as a series of four shorter solo works, one for each instrument of the ensemble, that are embedded within the larger work. Both the ensemble work and the solo works may be performed independently or in sequence collectively.This conglomerate of works was created using a prescriptive system of notation designed by the composer to highlight the physical actions of the performers. In this system, sounds are not specifically indicated, but are notated graphically via combinations of lines, shapes, colors, and gradients.The sonic results of these actions, indeed the sounds of the five works themselves that comprise (asymmetries of matter), are therefore somewhat indeterminate and will vary from performance to performance depending on the distinctive characteristics of the performers and their instruments.Materiality and physicality are central to both the ethos and construction of (asymmetries of matter).These works focus on the physiological components of sound production in order to foreground the interaction of body and instrument. Physical actions, rather than sounds, are the primary compositional materials and have been prioritized in the notational hierarchy as a means to generate new sonic possibilities.This approach proposes new ways of listening to and interpreting this music and allows me, the performers, and the listeners to engage with new modes of creative expression.
“Tu masssss ❤ te amo”: responding to compliments on Instagram among Ecuadorian teenage girls

Complimenting behavior within a group of Ecuadorian teenage girls on Instagram was examined by Placencia (2019). Using the same corpus, in the present study we consider the responses to compliments offered. These responses, while short, are remarkably complex, containing both text and images (emojis) and indeed textual stand-ins for paralinguistic cues such as laughter. Responses were grouped according to Holmes’s (1986) taxonomy and the data shows a distinct preference for accepting compliments given (97%), with fewer sub-strategies used compared to other studies. These results are considered in the context of the type of photos examined and the overall function that Instagram appears to fulfil for the group of teenagers in this study. Beyond what might be termed the basic strategies of accepting or rejecting compliments, we also look at the rich and varied sub-strategies used by the girls in this Instagram community, which they employ to express solidarity and show modesty when accepting compliments.
LOGOLARDAKİ MİNİMALİST YAKLAŞIMLAR VE BİR LOGO TASARIM UYGULAMASI ÖRNEĞİ

The The main aim of this study is to investigate the effects of the minimalism movement in art on logo design, which is an important practical area of graphic design, via samples and practices.Branding, which is an indispensable element of social life, and consequently, institutional identity practices are important parts of the art of graphic design.The time period we are in does not offer a space that flows faster than ever before and exposes us too much visual material.The art movements of the 20th century have undoubtedly influenced numerous things.It can be stated that the minimalism movement, which is undoubtedly one of the most important of these movements, influenced the field of graphic design due to its proximity to the essence of the field.Just as in other fields of art, various changes in the sense of design have also occurred in graphic design based on the changes and developments of the time.The institutions that follow these changes have experienced the need to rearrange their emblems and logos.Within this framework, the rearranged logos of various brands were examined and interpreted.Based on these interpretations, the logo design of the dried nuts brand, Gürbüzler, was reevaluated and revised.
A Study on the Life and Pastoral Characteristic of Rev. Kim Ki-beom

The main purpose of this study is to investigate the life of Kim Ki-beom, one of the first pastors in Korea, and his pastoral characteristics. Kim Ki-beom, who accepted Christianity at the end of the 19th century, was the leader of the Korean Protestant Church in the early days of his activities centered on Incheon. The enthusiasm, sincerity, and ability of evangelism were recognized by missionaries. As a result, in May 1901, he and his colleague Kim Chang-sik won the honor of becoming the first pastor in Korean Protestant history. But his illness prevented him from continuing his pastoral activities. Sometimes there were conflicts with missionaries and believers. Therefore, Kim Ki-beom was expelled from the Annual Conference of the Methodist Episcopal Church in 1912. Since then, his existence has been forgotten among Methodist Episcopal Church. As a result, Kim Ki-beom has not received much attention from Korean churches. This study focuses on constructing Kim Ki-beom’s life based on this. At the same time, this study will investigate the characteristics of Kim Ki-beom’s activities as a pastor.
SS-MLA: a semisupervised method for multi-label annotation of remotely sensed images

Recent technological advancements in satellite imagery have increased the production of remotely sensed images. Therefore, developing efficient methods for annotating these images has gained popularity. Most of the current state-of-the-art methods are based on supervised machine learning techniques. We propose a method called semisupervised multi-label annotizer (SS-MLA) that adapts vector-quantized temporal associative memory to annotate remotely sensed images. One of the advantages of SS-MLA over the supervised methods is that it extracts features not only from the given sample but also from similar samples that are previously seen without using an explicit attention mechanism. Thus SS-MLA enhances the learning efficiency of the training process. We conduct extensive performance comparisons with five different methods in the literature over four datasets. The comparison results indicate the success of the proposed method over the existing ones: SS-MLA generates the best results in 7 out of 11 comparisons.
Reduce the Memory Used in Key Management for Security Systems

Nowadays, most of the applications are distributed and require two or more parties to establish a secure communication channel over an open network.Key management is one of the major security issues in such applications.A good security system should reduce more complex problems related to the proper key management and secure-saving of a little number of secret keys at every endpoint.So it is difficult to save one key secretly, and the difficulty will be more and more if the number of secret keys increased.In the literature, many schemes have been proposed for key distribution and management.Although, such schemes have reduced the number of secret keys stored at the users to only one key, Key Distribution Center (KDC), known here as Key Managing Center (KMC), still maintains a shared secret key with each user in the network.In this paper, we propose a method to reduce the number of secret keys stored at the KDC to only one key, regardless of the network size.In the proposed method, the KMC will store a unique stuff data for every user.The user's secret key will be generated by taking the stuff data, adding the lifetime of the secret key, and then hashing the resulting string using the manager secret key.The output digest will be used as the user's secret key.By this way, KMC will only store one key called the manager secret key.Furthermore, we will combine the proposed method with our previous work to build an efficient key management model.Analysis and experimental results indicate that the developed model is highly secure, practical and efficient.
Student Zone

The University of Naples Federico II SEG Student Chapter was recently awarded an SEG outreach grant. The grant enabled members of the student chapter to create a field experience titled “Neapolitan volcanism: First-hand experience on risks and resources,” which was held 13–14 May 2021 in Naples, Italy.
Reducing response time with data farming and machine learning

In industry, there are numerous applications for simulation.However, simulation in our area usually takes some time even if a preexisting model just needs to be parameterized; there is still the run time, which will usually take at least a few minutes if not hours.In our current case, a planner wanted to know for a given product mix situation and for an equipment group with specific characteristics how much he can utilize the equipment without violating flow factor targets.A question, which arises several times during a typical workday as new orders are coming in and the situation on the shop floor is continuously changing.Since the user is usually asking the same question just with different parameters we are able to solve the waiting time problem while still giving good decision support.Instead of simulating every scenario at the time the user actually needs these answers, we use data farming to generate a large set of data points that are then used to train a neural network.This neural network then substitutes for the simulation and responds to the user immediately.
Quantifying the Differences Between Lexical Categories

The Cambridge grammar of the English language (HUDDLESTON; PULLUM, 2002) attempts to present a comprehensive and rigorous description of Modern Standard English. Much of the book is taken up with describing the properties of the various lexical categories, including determinative and pronoun. The distinction between these categories has been questioned by various authors in English (ABNEY, 1987; CROFT, 2001; HUDSON, 2004; MATTHEWS, 2014; POSTAL, 2014/1966; SOMMERSTEIN, 1972) and other languages (e.g., NAU, 2016). Here, I employ energy distance, a novel family of non-parametric statistics, to adjudicate between these positions. Following Crystal (1967), I binarily encode the features (has/doesn’t have feature) of the determinatives and pronouns from CGEL in a 138 word-forms by 232 features matrix. The results provide support for CGEL’s analysis (k-groups produces a 93% correspondence with CGEL’s categorization) and show that energy distance statistics applied to such matrices can help us adjudicate between competing lexical category analyses without resorting to methodological opportunism (CROFT, 2001).
O IMPACTO DA PANDEMIA DO CORONAVÍRUS NA SAÚDE MENTAL DOS PROFISSIONAIS DE SAÚDE

In December 2019, the world health organization registered the first case of a severe acute respiratory syndrome, caused by the coronavirus, and characterized as a pandemic, which brought significant damage and challenges to several countries around the world.The disease is highly transmissible and causes mild to severe symptoms, generating a high demand for intensive care.The health crisis, caused by the propagation of the coronavirus, has completely changed professional practices, in addition to occupying a good part of people's thoughts.OBJECTIVE: The work aims to detail the clinical and social impacts caused by the pandemic.METHODOLOGY: An integrative review of the qualitative literature on COVID-19 and its clinical and social impacts was carried out.Works published in the last 2 years were used.DISCUSSION: The COVID-19 worldwide pandemic is changing the lives of much of humanity, something without parallel in modern history.The health crisis, caused by the propagation of the coronavirus, has completely changed professional practices, in addition to occupying a good part of people's thoughts. CONCLUSION:Health is gaining new demands from society, which now increasingly sees the need for comprehensive patient health care, taking into account not only the physical and biological aspects, but also the psychological and social aspects caused by the pandemic.
Error Analysis on Descriptive and Narrative Writing of The Fifth Grade Student’s Indonesian Language Lesson

This research is aimed to describe the error and its causes made by fifth grade students of SDN Bangunrejo Kidul 1 Kedunggalar, Ngawi on descriptive and narratives writing in Indonesian language lessons. The research method was descriptive qualitative to results of descriptive and narratives writing of fifth grade students of SDN Bangunrejo Kidul 1, Kedunggalar, Ngawi on Indonesian language lessons. Data obtained by using observation, interview and documentation technique. Data analyzed through reduction, presentation, and draw conclusions. Research reveals that fifth grade students still have error on descriptive and narrative writing in capital letter, punctuation, and prepositions or passive verb &lt;em&gt;di&lt;/em&gt;-. Class V students' error on descriptive and narrative writing are caused by the lack of language rules, accuracy and haste of students in descriptive and narrative writing of Indonesian language.
PERANCANGAN SISTEM INFORMASI KUNJUNGAN HARIAN PASIEN RAWAT JALAN DI UPT PUSKESMAS CIJERAH

Puskesmas is a health care facility that organizes public health efforts and first-level individual health efforts by prioritizing promotional and preventive efforts in its work area. Problems that occur in the recording of daily visits of outpatients in the Puskesmas are still done manually, so as not to close the possibility of mistakes in recording daily visits of patients. In addition, in making a monthly report the officer calculates one by one the number of patient visits on the day manually so that it takes a long time.  The purpose of this study was to design the Patient Daily Visit Information System Program using Microsoft Visual Studio 2010 to make it easier for officers to record and report monthly.  This research method uses the waterfall method.  The final result of the design of this system resulted in the Patient's Daily Visit Information System using Microsoft Visual Studio 2010 which is expected to facilitate the recording and storage of daily visits of patients because it is computerized.
Blockchain for Supply chain Solutions

Supply Chain Management continue to evolve and improving the efficiency from the 1990 with the help of enterprise resource planning (ERP) systems. However, visibility remains a challenge in large supply chains involving complex transactions. Specially in pharmaceutical and food industries. It is facing lot of challenges from product tracing, demand visibility at all level in the value chain. Organizations are working hard to use latest technologies to improves the efficiency of the entire process. Blockchain is playing important role to eliminate the hassles in supply chain management.
Pelatihan Penggunaan Aplikasi Belajar Daring Google Classroom Dan Zoom Meeting Bagi Anak Usia Sekolah Di Desa Pargarutan Dolok

The Covid-19 pandemic requires the teaching and learning process to be carried out from home, by utilizing classroom learning media and zoom meetings. The purpose of the online learning training activities of google classroom and and zoom meetings for school-age children in the village of pargarutan dolok is to provide teachers with an understanding of how to conduct and develop online learning so that they can do learning from home. The importance of this online learning training is to prepare teachers and schools in the online learning process to run properly. The steps taken in this training are first, implementing the Health protocol before and after implementing the training. Second, introducing online learning to students. Third, explain about Google Classroom and how to use it. And the fourth practice of using google classroom. From the implementation of the activities carried out, it was found that the training participants could understand the training material well and develop online learning in Google Classroom.
Messages scrambled by black holes stand their ground

Researchers at Los Alamos National Laboratory in the US have shown that once a message has been scrambled by a black hole or other system with similar properties, not even a quantum computer can put it back together
Continuous-variable quantum computing: scalable designs and fault tolerance

One of the biggest challenges to a viable quantum computer with real-world impact is scaling it up to handle large computations. Continuous-variable (CV) cluster states, which are resource states for measurement-based quantum computation, can be made on a vast scale with minimal experimental resources. I will present recent experimental breakthroughs in producing large-scale CV cluster states, and I will illustrate how to use these states for fault-tolerant quantum computation.