Reviewerly/exHarmony huggingface dataset:
Discrete Predictive Representation for Long-horizon Planning

Discrete representations have been key in enabling robots to plan at more abstract levels and solve temporally-extended tasks more efficiently for decades. However, they typically require expert specifications. On the other hand, deep reinforcement learning aims to learn to solve tasks end-to-end, but struggles with long-horizon tasks. In this work, we propose Discrete Object-factorized Representation Planning (DORP), which learns temporally-abstracted discrete representations from exploratory video data in an unsupervised fashion via a mutual information maximization objective. DORP plans a sequence of abstract states for a low-level model-predictive controller to follow. In our experiments, we show that DORP robustly solves unseen long-horizon tasks. Interestingly, it discovers independent representations per object and binary properties such as a key-and-door.
Art Rendered using Rubik’s Cubes: ARRC 256

Mosaics are decorative images and patterns that can be created using small pieces of colored stone, ceramic, glass, or other materials. Creating a mosaic requires patience and time. This paper describes a robot that creates a mosaic using 256 Rubik’s cubes. The overall process is controlled by a laptop and three Arduino Due boards. Image dithering algorithm is used to reduce the color palette, to the 6 colors of the Rubik’s cube. A custom user interface is used to manually create an image or to upload an existing image. The solutions, for one face of every cube, are generated by a genetic algorithm and a permutation-based algorithm.
PENATALAKSANAAN TERAPI RADIASI EKSTERNA PADA KASUS KANKER VULVA DENGAN TEKNIK IMRT DAN ALAT FIKSASI PENGGANJAL LUTUT KHUSUS

Introduction: Invasive vulvar cancer is very small. Usually occurs in women, but at the same time. An average of 90% - 92% of vulvar cancer patients are squamous cell carcinomas. Treatment of vulvar cancer is surgery, radiotherapy, chemotherapy or even combination according to the stages and references of each patient. In Dr. Cipto Mangunkusumo, Radiotherapy was selected to be one of the treatment options for stage III-IV vulvar cancer because it can provide maximum value on target and minimum on healthy tissue by using IMRT technique and frog leg position with special sterofoam feed fixation tool.&#x0D; Objective: Describe the procedure for managing external radiation therapy in cases of vulvar cancer with IMRT technique and a special fungicide feeding device at the Radiotherapy Department Dr. Rsupn. Cipto Mangunkusumo.&#x0D; Method: The type of descriptive skin research by observing directly and recording the required data and approach with case study, discussion and question and answer with radiotherapist, radiation oncologist and patient at the Department of Radiotherapy RSUPN. Cipto Mangunkusumo in march 2018. The sample used is 1 primary data sample of patients with vulvar carcinoma squamosa cell IVA.&#x0D; Results: Patients with IV carcinoma of squamous cell carcinoma A treatment plan with qualitative RT objective, using 10 MV energy, radiation plan 25 x @ 2 Gy. With IMRT technique and special fixture fixture tool from sterofoam to position the patient to form the frog spring.&#x0D; Conclusion: The use of IMRT techniques and semi frog leg positioning is highly appropriate and effective for vulvar cancer. It comes from DVH achievement doses at very maximum targets and on the minimal surrounding organs and patient comfort. The cost value of the IMRT technique is 0.2 cm&#x0D;
“Che scìcco!”: i forestierismi di moda in un vocabolario dialettale degli anni Venti

This paper aims to illustrate and analyse the incidence of foreign words inherent to the special language of fashion in the Vocabolario domestico del dialetto foggiano (1929) by Carlo Villani (Foggia 1855 - Naples 1931). Although it has been published during the Twenties, a period notoriously hostile to dialects, the vocabulary follows the Gentilian cultural climate, well-disposed towards the works of enhancement of local linguistic heritage, which, especially for school, reach their peak in the 1920s. Furthermore, the vocabulary is the latest heir to a municipal and family lexicographic tradition, which flourished in the mid-nineteenth century, on the model of Basilio Puoti’s Vocabolario domestico napoletano e toscano. However, if the forerunner Saggio di vocabolario familiare (1841) follows Puoti’s purist thought, explicitly criticizing foreign words, the Vocabolario domestico del dialetto foggiano lemmatises them by showing their productivity in local speech; it provides interesting information for the history of language and customs at the same time (as can be seen from the glossary offered in this paper, properly commented). Nonetheless, this tolerance seems confined to the dialectal speech only: the translations proposed are mostly hyperonyms or words characterised by a greater semantic extension, which sacrifice the more precise semantic of the original forms, while compromising the memory of the referent.
Touch-Free Finger Sensing using Laser Light for Keys and Keyboards

Keys and consoles are used in various authentic connections, particularly human- machine interactions in the present state of art of Human Machine Interfaces (HMI). Automatic Teller Machines (ATMs), Charge/MasterCard machines, and pass-code-based support frameworks are a few cases wherein an individual has to touch the keys to provide a secret code are instructions to the machines. However, in situations such as the new COVID 19 pandemic, it is not desirable for customers to touch the same keys as it may cause easy spreading of chronic infections. There is therefore a need to provide a way to input data by users without physically touching any keys. This need is met in our design by offering a device and method to accomplish key or keyboard operation input operation based on the detection of a user finger with low power the laser light.
UserBERT: Self-supervised User Representation Learning

This paper extends the BERT model to user data for pretraining user representations in a self-supervised way. By viewing actions (e.g., purchases and clicks) in behavior sequences (i.e., usage history) in an analogous way to words in sentences, we propose methods for the tokenization, the generation of input representation vectors and a novel pretext task to enable the pretraining model to learn from its own input, omitting the burden of collecting additional data. Further, our model adopts a unified structure to simultaneously learn from long-term and short-term user behavior as well as user profiles. Extensive experiments demonstrate that the learned representations result in significant improvements when transferred to three different real-world tasks, particularly in comparison with task-specific modeling and representations obtained from multi-task learning.
ТВОРЧЕСКАЯ ДЕЯТЕЛЬНОСТЬ КАК ФОРМА СОЦИАЛЬНОЙ ИНТЕГРАЦИИ ДЕТЕЙ И ПОДРОСТКОВ С ОГРАНИЧЕННЫМИ ВОЗМОЖНОСТЯМИ

This article considers creative activity as a form of social integration of children and adolescents with disabilities. Creative activity is considered in the context of innovative humane activity with people with disabilities, in the process of which it is proposed to use art therapy as a method of personal self-regulation and for the purpose of interaction between participants. In an empirical study, A. Kalinicheva identified the possibilities of equal partnership in the process of creative theatrical activity between actors with different abilities in a heterogeneous group. The research methods were: the case study method, the method of included observation, conversation, semistructured interviews with parents of participants with intellectual disabilities and interviews with 26 actors of the group. It wasrevealed that a mixed creative group is a model of social integration of people with disabilities, which becomes a prerequisite for destigmatizing a person with intellectual disabilities.
Estimation of accuracy of the values defined from functional dependencies

The generalization of the formula of a priori accuracy estimation for the case of implicitly given functions is performed. This is based on the classical definition of the root mean square error, which is given as the sum of the squares of the products of partial derivatives of the arguments and the errors of their definition. Differentiation of functions is carried out with the involvement of the theory of implicit functions of many variables, which does not require explicit assignment of the function by an analytical expression. The corresponding derivatives are determined by the differentiation of the equations in which the investigated function appears, according to the corresponding variables, including the function itself. Only the values of the function and arguments for which the accuracy is evaluated are required for the calculations. These values are found in different ways, including approximate methods for solving nonlinear equations (for example, Newton's method, half-division method). This approach is generalized to the case of several functions, which are already determined by a set of nonlinear equations. Their differentiation gives a linear system, which solutions are elements in the formulas for estimating the accuracy of each function. The solution of this system is determined by Cramer's method. Since the matrix of coefficients is the same for all linear systems, it is advisable to use the inverse matrix method to solve it. This significantly reduces the calculations. The values of the functions for which errors are determined are obtained from the set of equations that connect them. Finding them is much more problematic than for one variable. Thus, a strict priori estimate of accuracy is obtained without any restrictions on the studied functions, for example, in the form of their approximate representation by Taylor series or approximate estimates when solving equations. Proposed method is tested on test examples, which include the assessment of accuracy for both one and two variables, and is considered in the first case. The results of the calculations confirm the feasibility of using this technique. Therefore, with the traditional approach, the above algorithm can be used in more complex cases, i.e. for the case of implicit definition of the function.
Surface Features of Code-switching in ‘The Nigerian Online Community’ Page on Facebook

Existing studies on code-switching have mainly been carried out among English/Chinese bilinguals. Studies on English/Yoruba/Pidgin English bilinguals with emphasis on code-mixing and code-switching on the Internet have been grossly insufficient. Therefore, this study reveals the surface features of code-switching among Yoruba/English/Pidgin English bilinguals in the Nigerian Online Community on Facebook. For theoretical framework, we relied on insights from Halliday’s (1994) functional theory of language. Five types of surface features were identified: simplified lexicon and sentences, non-adherence to the use of tones/diacritics, inconsistencies of spellings and words, unnecessary lengthening of letters, and tolerance of surface errors. The study has revealed the distinctive features of code-switching in the Nigerian Online Community page on Facebook. These linguistic features have thrown more light on the characteristics of the language use on the Facebook forum and how the posters use the codes in their speech repertoire to achieve this
Ketepatan Waktu Pelaporan Keuangan: Sistem Pengendalian Internal dan Sistem Informasi Pengelolaan Keuangan Daerah

Financial reports must provide information that is useful for making a decision, where relevant and reliable information is influenced by the timeliness of reporting. This study aims to determine the effect of internal control systems and information systems on regional financial management on the timeliness of partial and simultaneous financial reporting of case studies at the Bengkalis Department of Transportation. This research is descriptive quantitative in nature, while the data sources used in this study are primary data and secondary data. Data collection techniques in this study were interviews, documentation, questionnaires and literature study. The data analysis technique used was data quality test, data normality test, multiple linear regression test, hypothesis test and determination coefficient test. The results of this study are partially and simultaneously there is a significant influence between the internal control system and the regional financial management information system on the timeliness of financial reporting at the Bengkalis Department of Transportation.
Training For The Preparation of Financial Statements By Using Microsoft Excel For Students of SMK Muhammadiyah 9 Jakarta

The preparation of financial reports follows the development of Information and Communication Technology (ICT) in today's digital era. The availability of various features and formula formulas that are presented in spreadsheet form in Microsoft Excel can help in completing the accounting cycle process. This training was given before the Covid-19 pandemic hit Indonesia. The training participants were students of the XI class of Accounting Department Muhammadiyah 9 Vocational High School (SMK) Jakarta. The problem that exists in the partner's place is that the development of ICT has not been optimally utilized in teaching and learning activities in the field of accounting. The methods provided in this training are by giving lectures and practical methods in operating Microsoft Excel to compile financial reports. The purpose of this Community Service activity is to provide practical knowledge in using Microsoft Excel to compile a company's financial statements. The result of the implementation of this training activity is that students can compile general journals, ledgers, trial balances and financial reports using Microsoft Excel. Participants have benefited greatly from this training in making financial reports using Microsoft Excel faster, easier, more accurate and efficient.
Hubungan Karakter Disiplin dengan Prestasi Belajar

This research was conducted to determine whether there is a relationship between teenagers and student morals. The type of research used in this research is (Field Research) or field research with a quantitative approach, data collection techniques, namely by questionnaires, documentation, and interviews. The sample in the study was 30 people with the Proportionate stratified random sampling technique. The data obtained were analyzed using the Product Moment correlation coefficient. Based on the results of data analysis with Product Moment correlation, the results obtained by the value of r_xy = 0.71, the value of r_xy = 0.71, whose magnitude ranges from 0.70 to 0.90 indicates that there is a positive correlation or relationship between variable X and variable Y and including at a strong or high correlation.r table at a significance level of 5% = 0.374 and a significance level of 1% = 0.478 with df = 28, this indicates that r_xy is greater than r table (rxy&gt; r table) both at the 5% significance level (0.71&gt; 0.374) and a significance level of 1 % (0.71&gt; 0.478). So it can be concluded that there is a strong correlation or relationship between emotional intelligence and the learning achievement of class V MIS Mathlaul Anwar Bojonggede.
An Analysis of Hate Speech among Armenian Facebook Users

Social media networking websites have become platforms where users can not only share their photos, moments of happiness, success stories and best practices, but can also voice their criticism, discontent and negative emotions. It is interesting to follow how something that starts as a mere disagreement or conflict over clashing interests or values can develop into a hateful exchange on Facebook that targets social media users based on their gender, religious belonging, ethnicity, sexual orientation, political convictions etc. The present research explores how hateful posts and comments can start among Facebook users, and studies the language means employed in their design. The factual material was retrieved from more than ten open Facebook pages managed by popular Armenian figures, such as media experts, journalists, politicians and bloggers, in the period 2018–2020. The analysis of hate speech samples extracted from these sources shows that hate speech can find its explicit and implicit reflection in the online communication of Armenian Facebook users, and can be characterised by contextual markers such as invisibility, incitement to violence, invectiveness and immediacy. The language analysis of the posts and comments comprising hate speech has helped to identify language features of hateful comments including informal tone, use of passive voice, abusive and derogatory words, rhetorical or indirectly formed questions, generalisations and labelling.
Academic Application at STIEM Bongaya Makassar Web-Based

This study aims to design a web-based academic information system at STIEM Bongaya Makassar. During this academic service to students is still done manually, for example at the end of the semester students usually queue up to see grades and class schedules that use paper media that is posted on the bulletin board, so servants to students become ineffective and inefficient. With the advancement of information technology such as internet media, it can support the academic activities of a college. So with the use of internet media students do not need to come directly to the lecture to get academic information The web-based academic information system at STIEM Bongaya Makassar is expected to provide convenience in managing student data and academic services. This academic information system will later be web-based created using the Php and MySQL programming languages ​​as a database, and white box testing as a testing method to find out whether an application has been made free of logical errors
Application of Recommendations for Diagnosis of Diseases in the Field of Hematology and Oncology With Forward Chaining Algorithm

The COVID-19 pandemic has made many changes in everything, both from the industrial world and human habits. Illness is one of the things that cannot be postponed in its completion, so that people can consult a doctor to be able to recognize the disease suffered by the community In the past, consultations had to come to the hospital, nowadays there are innovations in the field of Information Technology that make it easier for people to consult. The expert system is one of the fastest growing innovations. The expert system is one of the fastest growing innovations. Forward chaining is one of the algorithms of an expert system to get a conclusion through existing facts / data based on predetermined rules. Forward chaining can provide good disease conclusions with a 100% percentage of 30 diseases and 15 test cases. However, a diagnosis based on symptoms according to doctors only has a confidence level of 50-60%. So other assessment factors are needed to increase the percentage of these beliefs such as gender, age, medical history, supporting examinations, and others.
Design and development of a secure certificateless proxy signature based (SE-CLPS) encryption scheme for cloud storage

Certificateless Public Key Cryptography (CL-PKC) scheme is a new standard that combines Identity (ID)-based cryptography and tradi- tional PKC. It yields better security than the ID-based cryptography scheme without requiring digital certificates. In the CL-PKC scheme, as the Key Generation Center (KGC) generates a public key using a partial secret key, the need for authenticating the public key by a trusted third party is avoided. Due to the lack of authentication, the public key associated with the private key of a user may be replaced by anyone. Therefore, the ciphertext cannot be decrypted accurately. To mitigate this issue, an Enhanced Certificateless Proxy Signature (E-CLPS) is proposed to offer high security guarantee and requires minimum computational cost. In this work, the Hackman tool is used for detecting the dictionary attacks in the cloud. From the experimental analysis, it is observed that the proposed E-CLPS scheme yields better Attack Detection Rate, True Positive Rate, True Negative Rate and Minimum False Positives and False Negatives than the existing schemes.
Cubature predictive filter

The drawbacks of the classical predictive filter are further solved in this chapter by using a different mathematical theory, i.e., the cubature rules. A cubature predictive filter is presented. This filter is a parallel state estimation approach to the UPF in Chapter 4 and the CDPF in Chapter 5. Moreover, the proposed filter is successfully applied to solve the state estimation problem of the microsatellite control system with modeling error and non-Gaussian measurement noises.
EFL Learners’ Willingness to Communicate, Language Learning Orientation, and Social Support in Kampung Inggris Pare

Abstract: this current study conducted to investigate any significant relationship among students’ willingness to communicate and language learning orientation as well as any significant relationship between students’ WTC and social support. It used quantitative design. There were 78 students participated in this study. They were studying English in Kampung Inggris Pare. For collecting the data, the students were asked to fill out three questionnaires; WTC questionnaire consist of 25 items, Language learning orientation questionnaire of20 items, and social support of 6 items. Pearson Product moment correlation was applied for calculating the data to know any possible correlation between the variables. From the data analysis showed that any significant correlation between students’ willingness to communicate and their language learning orientation. However, there was no any significant correlation between students’ WTC and social support. The result of the study showed that students’ language learning orientation is the best motivation for students to improve their English proficiency trough their willingness to communicate in regard to four English skills, speaking, reading, writing and comprehension. Although social support over all did not give significant correlation, some support from other friend and teacher positively correlated to students’ WTC in regard to speaking and writing skill. Keywords: Willingness to Communicate, Language Learning Orientation, Social Support
The importance of didactic games in forming the interest of students in mathematics

This article reveals the features of didactic games as one of the means of forming cognitive interest. The essence of the concept of cognitive interest is described. The concept of didactic play, its essence and characteristics are determined. The role of didactic play in the pedagogical education of children is investigated. Various methods and approaches are described as an effective means of developing interest in mathematics. In the course of the game, students successfully master mathematical ideas, concepts and develop the necessary skills. The main components of the didactic game are shown. In my work, I show the importance of didactic games in the pedagogical process using the example of the use of games in mathematics lessons in grades 5 and 6. Before using the game in the classroom, it is necessary to take into account the psychological characteristics of children of this age and what types of games are suitable for this age.