Reviewerly/exHarmony huggingface dataset:
Increasing Performance of Treatment Services in the Use of Medical Record Systems

The medical record system is an application that is used in medical services, where with the use of a medical record system, patient data will be stored and arranged neatly for a long time, then with the use of this system it reduces file storage costs and minimizes file storage space. Prior to the use of this medical record system, the midwife supiani clinic was given to record patients by making notes on a patient biographical paper in which the patient's history of treatment and type of illness will be stored. The manual system causes complications in the services provided to patients, because patients will wait very long because the administration will search and unload data if the patient has visited or taken treatment, if he just wants treatment, the administration must look for serial numbers and record the patient's name and biodata. With the medical record system that we provide to the general practice of midwife supian, it is very helpful in terms of data recording, file storage and until services for patients become faster and more efficient. One more thing, the general practitioner midwife supiani can recapitulate in one day anyone who visits for treatment. This is a very large contribution to the general practice of midwives so that they can improve patient treatment services.
УСТАЛАЯ КОНСТРУКЦИЯ ТЕОРИИ ИСКУССТВА: О МЕТАМОДЕРНИЗМЕ

The theory of contemporary art, which was very active in the late 1970s and early 1990s, after a long hiatus, gave birth to the concept of “metamodernism”, which the authors of the book of the same name Robin van den Akker, Alison Gibbons, and Timotheus Vermeulen propose to describe the art of the early 21st century. The theory of metamodernism essentially duplicates the theory of postmodernism, if one does not reduce the latter exclusively to the theory of simulacra by Jean Baudrillard. On the whole, the analysis of the book “Metamodernism” indicates a fundamental aversion to theory as the basis for theorizing of its authors. In the final chapter of the book, Raoul Eshelman denies the functional meaning of the concept of metamodernism, which is quite right, proposing to return to Hegel's synthesis in search of the unity of the picture of the world, not its incessant criticism. The article examines metamodernism within the framework of the theory of “explosive” and “gradual” periods of cultural development, proposed by Yuri Lotman. From this point of view, metamodernism can be localized as the end of a gradual period when the development of contemporary art is as far away as possible from the event of an information explosion (the birth of modernism and its criticism in postmodernism), and the strengthening of conservative positions indicates an internal growth of socio-cultural imbalance and a premonition of future changes.
Automatic indoor scene recognition based on mandatory and desirable objects with a simple coding scheme

A simple and effective recognition system for indoor scenes is presented. The proposed system has two phases, namely, creation of mandatory and desirable objects and an indoor scene recognition system (ISRS). In the first phase, a list of probable objects and their classification, such as mandatory and desirable objects, for any generic scene is created based on real-time indoor environment clubbed with human knowledge on standard datasets. In the second phase, the proposed system contains four stages. In the first stage, the proposed ISRS identifies and recognizes the objects of the given key frame based on a simplified version of CNN architecture of YOLO v3. In the second stage, the identified objects are divided into two sets of mandatory and desirable objects with a simple dictionary look-up. In the third stage, the objects are identified to belong to a probable scene, and this technique is called scene-object identification. In the final stage, a binary scene representation (BSR) is proposed for each probable scene, and a final scene recognition is obtained with a new scene-score, obtained after converting the binary BSR into a decimal number. The effect of the proposed ISRS has been experimented with standard datasets and measured in terms of standard metrics, besides comparison with existing schemes. The results are encouraging.
EFEKTIVITAS PENGGUNAAN SENSOR MQ-7 TERINTEGRASI APLIKASI BLYNK UNTUK MENDETEKSI KEBERADAAN GAS CO DI UDARA

The development of industry and human living system recently bring effect toward the air quality. Carbon monoxide (CO) which is one of the air pollutant produced by the imperfect ignation which contain carbon of industry, vehicles, and other activities. The existance of carbon monoxide (CO) which is difficult to recognize because of it’s characters which are colourless, cannot be felt or tasteless, cannot be smelt or have no smell, cannot be seen by bare eyes, it means that it needs a tool to help human detect the existance of carbon monoxide. This importance of detector tool of carbon monoxide is because carbon monoxide is quite dangerous for human health if it’s degree is over the limit. There are quite cases of poisoned people who finally died. In this research, the effectiveness test of the use of MQ-7 censor which is integrated with the Blynk application compared with the CO-meter is done. The result shows that MQ-7 is effective to be used in detection and measurement the degree of CO in the air. The integration with Blynk application on the smartphone helps researcher to do the monitoring from everywhere, as long as it is connected to the internet. The price which is more economical also becomes one of the considerations, so CO detector by using MQ-7 censor inegrated with the Blynk application can be done by many groups of society, either industries or individuals.
Hacking Creativity - Authorship in the Digital Age

Artificial intelligence (henceforth AI) systems are capable of producing literary and artistic works autonomously. This capacity raises major policy questions for the copyright system, which has always been intimately associated with the human creative spirit and with respect and reward for, and the encouragement of, the expression of human creativity. The policy positions adopted in relation to the attribution of copyright to AI-generated works will go to the heart of the social purpose for which the copyright system exists.
GABC

Feature selection is a complex pre-processing step in data mining that enhances classification accuracy by selecting the minimum number of relevant features. Artificial bee colony algorithm (ABC) is one of the successful swarm intelligent algorithms for feature selection, image processing, data analytics, protein structure prediction, etc. It simulates the honey foraging behavior of the bee swarm. But it tends to low convergence speed and local optima stagnation. Hybrid meta-heuristics can enhance the performance of existing swarm algorithms. This paper proposes a hybrid approach for the ABC algorithm by incorporating genetic operators into it. The mutation operator is used to explore the better-quality neighborhood while the crossover is used to enhance the quality of solutions by implementing diversity into them. The performance of the proposed method is evaluated using UCI data sets and compared with existing swarm algorithms for feature selection. The effectiveness of the proposed method is evident from the results.
Frame selection based video watermarking technique based on DWT, K-SVD, rail fence to address quality loss of data

The advances in Internet and multimedia have led to many challenges like copyright protection and ownership identification. Multimedia media data such as audio, images and videos are getting distributed illegally without the knowledge of owner; this has led to development of many techniques including watermarking. The proposed work deals with application of a watermarking technique on videos that includes identification of frames from the videos to be watermarked along with embedding of an encrypted binary watermark on frames followed by testing of the watermarking technique by imposing various attacks to check the validity of the proposed technique. The watermarking is done by using hybrid approach of DWT and KSVD and rail fence is used as encryption to the watermark before embedding into multimedia data. The major challenge after insertion of the watermark on multimedia data is the loss of quality, which is addressed in proposed work. The results are formulated by calculating values of peak signal to noise ratio (PSNR).
Theoretical principles of K.S. Stanislavsky on the super-task and end-to-end action in the professional activity of a television director

The author focuses the attention of actual and future TV directors on such important issues in their professional activities as the "end-to-end action" and "super-task" concepts taken from the arsenal of the Stanislavsky system. The material of the article can be used in the preparation of courses in the program track "Film and Television Directing" (specialist level).
A Richardson-Lucy Algorithm Using A Varying Point Spread Function Along The Iterations

This work proposes an algorithm which restores images by the Richardson–Lucy (RL) algorithm, using however, a varying PSF as the iterations proceed. For this purpose, the PSF width is reduced to cope with the last-achieved image resolution and the next iteration would be carried out with it.
Programming Exercises Interoperability: The Case of a Non-Picky Consumer.

Problem-solving is considered one of the most important skills to retain in the coming decades for building a modern and proactive society. In this realm, computer programming learning is vital to enrich those skills. Practicing in this area boils down to solve programming exercises. In order to foster this practice, it is necessary to provide students with the best of the breed automated tools and a good set of exercises in a fair quantity covering the curricula of a typical programming course. Despite the increasing appearance of automated tools such as program evaluators, gamification engines and sophisticated web environments, access to exercises remains problematic. In fact, although the existence of several code repositories (most for feed computer programming contests), the majority of them store the exercises in proprietary formats and without any access facilities hindering their use. This leaves no other option to teachers but to manually create programming exercises which is time-consuming and error prone, or simply, reuse the same exercises, from previous years, which is considered as a detrimental and limiting approach to enhance multi-faceted and creative programmers.The article surveys the current interoperability efforts on programming exercises, more precisely, in terms of serialization formats and communication protocols. This study will sustain the selection of an API to feed a code playground called LearnJS with random programming exercises.
Skeleton-Based Action Recognition Based on Distance Vector and Multihigh View Adaptive Networks

Skeleton-based human action recognition has attracted much attention in the field of computer vision. Most of the previous studies are based on fixed skeleton graphs so that only the local physical dependencies among joints can be captured, resulting in the omission of implicit joint correlations. In addition, under different views, the content of the same action is very different. In some views, keypoints will be blocked, which will cause recognition errors. In this paper, an action recognition method based on distance vector and multihigh view adaptive network (DV-MHNet) is proposed to address this challenging task. Among the mentioned techniques, the multihigh (MH) view adaptive networks are constructed to automatically determine the best observation view at different heights, obtain complete keypoints information of the current frame image, and enhance the robustness and generalization of the model to recognize actions at different heights. Then, the distance vector (DV) mechanism is introduced on this basis to establish the relative distance and relative orientation between different keypoints in the same frame and the same keypoints in different frame to obtain the global potential relationship of each keypoint, and finally by constructing the spatial temporal graph convolutional network to take into account the information in space and time, the characteristics of the action are learned. This paper has done the ablation study with traditional spatial temporal graph convolutional networks and with or without multihigh view adaptive networks, which reasonably proves the effectiveness of the model. The model is evaluated on two widely used action recognition benchmarks (NTU-RGB + D and PKU-MMD). Our method achieves better performance on both datasets.
Osiris: Automated Discovery of Microarchitectural Side Channels

In the last years, a series of side channels have been discovered on CPUs. These side channels have been used in powerful attacks, e.g., on cryptographic implementations, or as building blocks in transient-execution attacks such as Spectre or Meltdown. However, in many cases, discovering side channels is still a tedious manual process.In this paper, we present Osiris, a fuzzing-based framework to automatically discover microarchitectural side channels. Based on a machine-readable specification of a CPU's ISA, Osiris generates instruction-sequence triples and automatically tests whether they form a timing-based side channel. Furthermore, Osiris evaluates their usability as a side channel in transient-execution attacks, i.e., as the microarchitectural encoding for attacks like Spectre. In total, we discover four novel timing-based side channels on Intel and AMD CPUs. Based on these side channels, we demonstrate exploitation in three case studies. We show that our microarchitectural KASLR break using non-temporal loads, FlushConflict, even works on the new Intel Ice Lake and Comet Lake microarchitectures. We present a cross-core cross-VM covert channel that is not relying on the memory subsystem and transmits up to 1 kbit/s. We demonstrate this channel on the AWS cloud, showing that it is stealthy and noise resistant. Finally, we demonstrate Stream+Reload, a covert channel for transient-execution attacks that, on average, allows leaking 7.83 bytes within a transient window, improving state-of-the-art attacks that only leak up to 3 bytes.
IDENTITY AND ACCESS MANAGEMENT SYSTEM BASED ON BLOCKCHAIN

This paper discusses the application of identity and access management in Blockchain technology. It is essential in our day-to-day lives that we have effective identity and access management systems. The majority of currently available IAM solutions are centralized, which creates many problems, the most important of which is privacy. The blockchain serves as the foundation of our system, which is by its very nature decentralized and secure [1]. According to our approach, none of the critical identification information about the user is kept on a centralized server; instead, it is stored on the mobile device that has been allocated to that user. This serves two purposes: it protects the user's personal information while also allowing the user to manage his or her identification information. In our increasingly linked and digitalized world, digital identification is becoming more essential. In the case of digital identities, most of us have a number of them, each one connected with a different aspect of our job, our personal life, or another professional activity (ies) [2]. This leads to a rising dependence on identity information management (also known as identity management, identity management and access control, and other terms in the research), which is intended to manage and protect our personal information while also providing appropriate services. Based on blockchain's success, efforts were made to incorporate blockchain into the development of the next wave of identity management systems.
Hermeneutical Analysis of the Determinants of Obesity using Neutrosophic Cognitive Maps

Obesity is a chronic, non-contagious disease to which attention has been paid worldwide at all times, but current studies are focused on childhood and adolescent obesity after the Covid-19 pandemic. The reason lies in the fact that the younger the child, the greater the risk of developing complications during his life. That is why it is established as a problem to be analyzed from various points of view. Consequently, this study aims to develop a causal analysis of the determinants of childhood and adolescent obesity in post-COVID-19 Ecuador using Neutrosophic Cognitive Maps from a hermeneutical point of view. The authors consider as an idea to defend that by analyzing the determining factors of childhood and adolescent obesity after the influence of Covid-19, it will be possible to strengthen the coordination and articulation mechanisms of the State, which allow the development of strategic actions to prevent overweight and obesity in the population. To achieve this, a referential framework for child-adolescent obesity was established, a working procedure was elaborated combining the hermeneutical method with neutrosophic cognitive maps for the causal analysis, and conclusions were issued where strategies were established according to the observed patterns and world trends in the face of the phenomenon that allow the development of strategic actions to prevent overweight and obesity. [ABSTRACT FROM AUTHOR] Copyright of Neutrosophic Sets & Systems is the property of Neutrosophic Sets & Systems and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
The Aplikasi Pencarian Tempat Indekos dengan Metode Rekomendasi Social Trust Path

Boarding house is a service that offers a room or a place to live in with a certain amount of payment for a certain period (generally payments per month). Currently, most boarding houses available in Medan still use a manual system to manually record transactions between homestay residents and boarding owners. The application of this manual system often faces various problems, such as the absence of a notification system regarding payment due dates to residents, the difficulty of making complaints to owners and residents cannot find out whether their complaints have been known and responded to by the owner or not, boarding owners must check their records to find out residents which ones have not paid off, so it often takes a long time to obtain the information. To further support the performance of this marketplace, a recommendation feature will be added to the marketplace application. The method that can be used is the Social Trust Path method. The Social Trust Path method is a method of calculating the value of the confidence level of something depending on the level of trust of the user who gives the statement. The tools used to perform analysis and design are use case diagrams. This website is built using PHP coding and MySQL database. The result of this research is a web-based boarding house recommendation application that can be used to provide boarding place information for users.
An investigation of the reliability analysis of speaking test

Speaking skill is marked as one of the most significant for language learning. The assessment of the oral test remained difficult because of the involvement of humans. The speaking assessment is based on the reliability of the test and reliability relies on the raters' score. To this, the present study is an attempt to estimate the inter-rater reliability of the Speaking test used in the Common First Year program (CFY) of a public university in Saudi Arabia. The data were collected through a scoring sheet from 62 EFL learners. 6 raters were involved in the rating of 61 participants of the study. Quantitative data analysis was used to estimate the reliability of the speaking test. The correlation coefficient and Bland-Altman test were used to measure the agreement between the raters. SPSS was used for data analysis in the present study. The result of the study indicated that the speaking test used in the CFY program is in the accepted norm of the reliability values.
ФОРМИРОВАНИЕ МЕТОДИЧЕСКОЙ КОМПЕТЕНТНОСТИ ПЕДАГОГА ДОПОЛНИТЕЛЬНОГО ОБРАЗОВАНИЯ КАК УСЛОВИЕ ЭФФЕКТИВНОГО РАЗВИТИЯ РЕГИОНАЛЬНОГО МОДЕЛЬНОГО ЦЕНТРА АЛТАЙСКОГО КРАЯ

The article substantiates the relevance of the methodological growth of a teacher and teacher - the organizer of the RSFI AE Regional Palace of Children and Youth Creativity, one of the four resource centers of the Altai Krai in the field of additional education for children. An algorithm for the formation of methodological competence of this category of specialists through the creation of an intra-organizational form of personnel development is shown: identification of professional deficits, building an individual trajectory of professional development and successful certification of a teacher of additional education.
Use of Open Access E-Books by the Undergraduate and Postgraduate Students of College of Agriculture, Vijayapur, Karnataka: A Study

The e-books are an emerging technology which is likely to have a large impact in teaching and learning over the next couple of years. The study was conducted to investigate the use of open access e-books by the undergraduate and postgraduate students of College of Agriculture, Vijayapur, Karnataka. It highlights the use of various types of e-books, frequency and purpose of use of e-books, level of satisfaction towards use of ebooks, use of various devices for accessing e-books, way of access to e-books, problems faced while accessing e-books, use of various features in utilizing ebooks, opinion about how easy is it to read e-books and opinion about how the users read e-books. The interview and questionnaire method was used for the present study to collect the necessary data, keeping in view the objectives of the study and the collected data has been analyzed and presented in the form of tables. The article concluded with appropriate suggestions.
PEMBUATAN SABUN PENCUCI PIRING SEBAGAI PELUANG USAHA BAGI IBU-IBU PKK DESA SEI ALIM HASSAK KECAMATAN SEI DADAP ASAHAN

The need for dish soap has increased because most people have started to abandon the traditional way of using scrubbing ash to wash dishes and switch to liquid dish soap. This causes the need for the procurement of soap which requires a lot of money. Seeing this opportunity,  there are many liquid soap products that can be found in various types of markets. The purpose of this community service activity is to provide knowledge and training on making liquid dish soap in the context of community empowerment (in this case the PKK women’s group). The method used in this community service activity is discussion, exposure, and the practice of making dish soap. The participants were very enthusiastic about participating in the dish soap making training. With this training, participants can save expenses and start a new business producing dish soap to increase income. Keywords : dishwashing liquid, Sei Alim Hassak, new business.