Reviewerly/exHarmony huggingface dataset:
On $*$-clean group rings over finite fields

A ring $R$ is called clean if every element of $R$ is the sum of a unit and an idempotent. Motivated by a question proposed by Lam on the cleanness of von Neumann Algebras, Va\v{s} introduced a more natural concept of cleanness for $*$-rings, called the $*$-cleanness. More precisely, a $*$-ring $R$ is called a $*$-clean ring if every element of $R$ is the sum of a unit and a projection ($*$-invariant idempotent). Let $\mathbb F$ be a finite field and $G$ a finite abelian group. In this paper, we introduce two classes of involutions on group rings of the form $\mathbb FG$ and characterize the $*$-cleanness of these group rings in each case. When $*$ is taken as the classical involution, we also characterize the $*$-cleanness of $\mathbb F_qG$ in terms of LCD abelian codes and self-orthogonal abelian codes in $\mathbb F_qG$.
The Case Study on Use of Bigdata and AI in Distribution Industry

With the development of telecommunication technology, a commerce platform centered on mobile devices is developing. Global mobile commerce companies such as Amazon are trying to recommend optimized products to customers and provide optimized logistics services through real-time big data. As online-oriented commerce develops, rival local offline stores are making changes for survival. In Korea, the government is trying to find a balance with offline stores by controlling big data-oriented online commerce, as is the regulation that sought to protect the local market by limiting the business hours of Super Supermarket (SSM) to balance local offline stores and Supermarket. However, in the data-driven fourth industrial revolution, we will have to find ways to develop by utilizing data, which is the main raw material. This paper tried to investigate cases of applying and operating big data in the distribution industry and seek ways to promote focused on big-data sharing that can develop with offline stores by conducting a Delphi survey to experts.
Introducing the Hidden Neural Markov Chain framework

Nowadays, neural network models achieve state-of-the-art results in many areas as computer vision or speech processing. For sequential data, especially for Natural Language Processing (NLP) tasks, Recurrent Neural Networks (RNNs) and their extensions, the Long Short Term Memory (LSTM) network and the Gated Recurrent Unit (GRU), are among the most used models, having a term-to-term sequence processing. However, if many works create extensions and improvements of the RNN, few have focused on developing other ways for sequential data processing with neural networks in a term-to-term way. This paper proposes the original Hidden Neural Markov Chain (HNMC) framework, a new family of sequential neural models. They are not based on the RNN but on the Hidden Markov Model (HMM), a probabilistic graphical model. This neural extension is possible thanks to the recent Entropic Forward-Backward algorithm for HMM restoration. We propose three different models: the classic HNMC, the HNMC2, and the HNMC-CN. After describing our models' whole construction, we compare them with classic RNN and Bidirectional RNN (BiRNN) models for some sequence labeling tasks: Chunking, Part-Of-Speech Tagging, and Named Entity Recognition. For every experiment, whatever the architecture or the embedding method used, one of our proposed models has the best results. It shows this new neural sequential framework's potential, which can open the way to new models, and might eventually compete with the prevalent BiLSTM and BiGRU.
An approach of constant false alarm ratio for improved target tracking

Each radar has the function of surveillance of certain areas of interest. In particular, the radar also has the function of tracking moving targets in that territory with some probability of detection, which depends on the type of detector. Constant false alarm ratio (CFAR) is a very commonly used detector. Changing the probability of target detection can directly affect the quality of tracking the moving targets. The paper presents the theoretical basis of the influence of CFAR detectors on the quality of tracking, as well as an approach to the selection of CFAR detectors, CATM CFAR, which enables better monitoring by the Interacting Multiple Model (IMM) algorithm with two motion models. Comparative analysis of CA and CATM algorithm realized by numerical simulations has shown that CATM CFAR gives less tracking error with proportionally the same computer resources.
Reanalyzing the Most Probable Sentence Problem: A Case Study in Explicating the Role of Entropy in Algorithmic Complexity

When working with problems in natural language processing, we can find ourselves in situations where the traditional measurements of descriptive complexity are ineffective at describing the behaviour of our algorithms.It is easy to see why -the models we use are often general frameworks into which difficult-todefine tasks can be embedded.These frameworks can have more power than we typically use, and so complexity measures such as worst-case running time can drastically overestimate the cost of running our algorithms.In particular, they can make an apparently tractable problem seem NP-complete.Using empirical studies to evaluate performance is a necessary but incomplete method of dealing with this mismatch, since these studies no longer act as a guarantee of good performance.In this paper we use statistical measures such as entropy to give an updated analysis of the complexity of the NP-complete Most Probable Sentence problem for pCFGs, which can then be applied to word sense disambiguation and inference tasks.We can bound both the running time and the error in a simple search algorithm, allowing for a much faster search than the NP-completeness of this problem would suggest.
Aplikasi Game Edukasi ABC Space Typing menggunakan Godot Engine

Computer subjects have their own appeal for elementary school students. Elementary school students are interested in computers because it is new to them. But in teaching and learning activities they are only interested in drawing and playing. In the typing lesson section, only a few students are interested in learning to type. Therefore, the teacher needs a more interesting way to provoke students' interest to be willing to type. This method is to invite students to play games with the educational elements of typing. This research was made using the GDLC method, game development begins with the initiation of a game model, pre-production with game planning and design, production by starting game coding, alpha version for the first test, beta version for the second test conducted by players, and version release, namely the form finished games that are ready to be played, which aims so that the system can be easily developed. This research was made to build an educational game with an educational element of typing. The software used to build this game is the Godot engine with the gdscript programming language. With an attractive game display, it is hoped that students will be more interested in learning to type.
Pedagogical aspects of the professional competence of the teacher's personality - manager

This article examines the professional competence of a manager -this is a component of professional culture that determines the social orientation of a person in the context of professional activity, a set of personal and professionally important personality traits that determine the success of a specialist's professional competence, his self-realization.
Improving the Efficiency and Robustness of Deepfakes Detection through Precise Geometric Features

Deepfakes is a branch of malicious techniques that transplant a target face to the original one in videos, resulting in serious problems such as infringement of copyright, confusion of information, or even public panic. Previous efforts for Deepfakes videos detection mainly focused on appearance features, which have a risk of being bypassed by sophisticated manipulation, also resulting in high model complexity and sensitiveness to noise. Besides, how to mine the temporal features of manipulated videos and exploit them is still an open question. We propose an efficient and robust framework named LRNet for detecting Deepfakes videos through temporal modeling on precise geometric features. A novel calibration module is devised to enhance the precision of geometric features, making it more discriminative, and a two-stream Recurrent Neural Network (RNN) is constructed for sufficient exploitation of temporal features. Compared to previous methods, our proposed method is lighter-weighted and easier to train. Moreover, our method has shown robustness in detecting highly compressed or noise corrupted videos. Our model achieved 0.999 AUC on FaceForensics++ dataset. Meanwhile, it has a graceful decline in performance (-0.042 AUC) when faced with highly compressed videos.
The Role of Social Marketing On the Contagion of Environmental Behavior with Emphasis On Emotional Contagion

This study seeks to investigate the role of social marketing on the environmental behaviors contagion based on Andreasen's six-step model in the field of waste segregation. Waste segregation at source, is the first phase of the entire waste management cycle. Waste and how to segregation waste faces several issues that require public participation and change in consumption behavior for the optimal implementation and management of waste. The results of reviewing documents and studies conducted in the field of social marketing show that social marketing has an important and decisive role in changing and modifying the behavior of citizens. To be successful in social marketing, the target group must be identified based on individual, social, economic and cultural characteristics and segmented into geographical location. Given that the emotions in social marketing message can absolutely affect its success, by using subtle emotional expressions in marketing communication we can create emotional contagion that help the message make more viral and have ability to change people consumption preference through transfers of emotion. In order to repeat, consolidate and improve the implementation method, the marketing process, training and implementation process of the project must be continuously accomplished and monitored, and through retesting, mistakes and inefficient solutions can be reduced and waste segregation behavior can be improved and corrected. If grassroots environmental groups, NGOs, and citizens come together and have a consistent relationship with proctor organizations, policymakers will have the tools to change citizenship behavior and provide an alternative to increasing legal and educational campaigns
THE MODEL OF SYSTEM FOR DETERMINING THE TYPE OF PHASE MANIPULATION AND SYMBOL RATE IN THE RADIO LINES OF SPACE SYSTEMS

The article proposes a model of a universal automated system for determining the type of phase manipulation and symbol rate for receiving the flow of data by ground-based means transmitted in the radio lines of low-orbit space systems under a partial prior uncertainty. The relevance of the study on the selected topic is that in the last decade there has been noted a significant increase in the number of space systems operating in low-Earth orbits. The afore-mentioned fact leads to an increase in the variety of radio line structures of space systems, which creates a partial prior uncertainty in relation to the parameters of radio signals transmitted by these systems. At the same time, the operation of space systems in low-Earth orbits imposes restrictions on the duration of the communication session, which makes it difficult to set up the ground-based demodulating equipment under conditions of a partial prior uncertainty of the radio signal parameters. Considering the above, the article presents a possible option for designing a structure chart of a universal automated system for determining the type of phase manipulation and symbol rate. The principle of system operation is described and its operability is substantiated by mathematical modelling processes. The considered model of the universal automated system for determining the type of phase manipulation and symbol rate enables to determine the nominal value of the central carrier frequency of the radio signal, radio spectrum width, symbol rate and one of three types of phase manipulation (BPSK, QPSK, 8PSK) in the time operation mode close to real one. By the results of calculations being made, it is established that the system under study can be used while receiving data from space systems operating in low-Earth orbits. Also, the proposed system can be applied to determine the basic parameters of radio signals and other systems that use radio lines with phase manipulation. Further research on the selected topic will be aimed at studying the possibility of expanding the number of types of manipulations that can be automatically determined by the proposed system.
More Than Meets The Eye: Semi-supervised Learning Under Non-IID Data

A common heuristic in semi-supervised deep learning (SSDL) is to select unlabelled data based on a notion of semantic similarity to the labelled data. For example, labelled images of numbers should be paired with unlabelled images of numbers instead of, say, unlabelled images of cars. We refer to this practice as semantic data set matching. In this work, we demonstrate the limits of semantic data set matching. We show that it can sometimes even degrade the performance for a state of the art SSDL algorithm. We present and make available a comprehensive simulation sandbox, called non-IID-SSDL, for stress testing an SSDL algorithm under different degrees of distribution mismatch between the labelled and unlabelled data sets. In addition, we demonstrate that simple density based dissimilarity measures in the feature space of a generic classifier offer a promising and more reliable quantitative matching criterion to select unlabelled data before SSDL training.
APLIKASI SISTEM PENGAMBILAN KEPUTUSAN DALAM MANAJEMEN RANTAI PASOK MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS (AHP) DAN BALANCE SCORECARD (BSC) BERBASIS WEBSITE

The supply chain concept is a new concept in implementing an integrated logistics system. This concept is a supply chain of goods from raw materials to finished goods (indrajit and Djokopranoto 2002). Supply chain management (MRP) of agricultural products represents the management of the entire production process as a whole from processing, distribution, marketing, to the desired product reaching consumers. Thus, the Supply Chain Management System can be defined as a unified integrated marketing system, which includes the integration of products and actors, in order to provide customer satisfaction. This study aims to design a decision-making system application in supply chain management using the AHP and BSC methods. This application can provide convenience to the farmer's blessing cooperative in Tawangmangu Karanganyar in the product purchase transaction process. In addition to providing convenience to the cooperative, it can also provide other advantages, namely not destroying market prices, so as not to harm the farmers. In the design process, this application can be used by two users, namely the admin side who has full rights in managing the system. And the user who can update product data, can find out product information, product stock and others. Based on the results of the design, implementation and testing of this application, it can provide solutions to farmers, buyers and cooperatives in implementing MRP (Management Supply Chain). In the results of trials on users, the test results of this application provide information sufficient, simple appearance, easy to use and can provide convenience to users and cooperatives in the transaction process. . Keywords: Supply Chain Management, AHP, BSC, Decision Support Systems.
TWO LETTERS BY V.V. ROZANOV TO B.A. TURAEV FROM THE ARCHIVES OF THE STATE HERMITAGE MUSEUM

The article publishes two letters of the Russian philosopher and writer V.V. Rozanov to the master of general history B.A. Turaev. The letters were found in the archives of the State Hermitage Museum in a folder of documents from unidentified correspondents of Turaev. One letter has no date, the second one is dated October 13, 1898. The data from the letters found allow dating Rozanov and Turaev's acquaintance to no earlier than May 9, 1898, when the debate on Turaev's master's thesis “God Thoth” took place. In the first letter Rozanov introduces himself to Turaev and asks permission to call at him to discuss topics on the history of ancient Egypt, which Rozanov was interested in. In the second letter, Rozanov thanks Turaev for reprints of articles and expresses his views on a number of issues related to these papers. Both letters are viewed against the background of Rozanov's Egyptian myth and Rozanov's controversial attitude toward professional Egyptologists.
K-XLNet: A General Method for Combining Explicit Knowledge with Language Model Pretraining

Though pre-trained language models such as Bert and XLNet, have rapidly advanced the state-of-the-art on many NLP tasks, they implicit semantics only relying on surface information between words in corpus. Intuitively, background knowledge influences the efficacy of understanding. Inspired by this common sense, we focus on improving model pretraining by leveraging explicit knowledge. Different from recent research that optimize pretraining model by knowledge masking strategies, we propose a simple but general method to combine explicit knowledge with pretraining. To be specific, we first match knowledge facts from knowledge graph (KG) and then add a knowledge injunction layer to transformer directly without changing its architecture. The present study seeks to find the direct impact of explicit knowledge on transformer per-training. We conduct experiments on various datasets for different downstream tasks. The experimental results show that solely by adding external knowledge to transformer can improve the learning performance on many NLP tasks.
PERANAN MEDIA ONLINE ”TANOSHIIJAPANESE.COM” SEBAGAI SOLUSI PEMBELAJARAN KANJI DI MASA PANDEMI

During a pandemic caused by the corona virus, all our activities and lifestyle changes. Work, study, socialization and all activities related to physical contact all change. In this case, including teaching and learning activities. The teaching and learning activities that we have been doing in class during this pandemic require that all activities be carried out from home. This automatically changes the habits of both the teacher and the students being taught. The Covid 19 pandemic has not only occurred in Indonesia, but is evenly distributed throughout the world. Therefore, it is necessary to have media that can be used as a means for teaching and learning activities during this pandemic. Based on this, the researchers tried to use the online media tanoshiijapanese as a learning solution during online lectures. This study aims to determine whether the use of online media “tanoshiijapanese.com is appropriate as a solution to online teaching. This research is a qualitative descriptive study. Data collection was carried out through observation, questionnaires and interviews using google form. The population in this study were fourth semester students. The research sample was 43 students. Data analysis techniques using graphs from google form. The results of this study are expected to be useful for kanji teachers who will teach online
Interaction methods for light field displays by means of a theater model environment

At the time of this paper, the advances in light field technology already offer 3D displays that immerse the users without the need for additional viewing devices. Despite the numerous advantages and attractive capabilities of such glasses-free 3D displays, their user interface methods are quite complicated and they are currently underwhelming when compared to conventional 2D displays, due to the fact that visual feedback can only be rendered sharply on the emission surface of light field displays. The sharp rendering of user interfaces is a necessity, as blur may hinder their fundamental functions. When it comes to 2D displays, many user interaction techniques and interfaces have been devised. Rendering a user interface on a 2D display could be done in various ways, such as rendering overlays on top of the rendered scene, or by using billboards. These are extensively used in modern video games. User interaction methods have proven their importance and added efficiency to virtual environments throughout the years. Due to their overall value and usefulness, interaction techniques develop immediately as new types of displays arise. With the recent advancements in visualization technologies, user interfaces have been redesigned for use in AR, VR and MR visualization. This includes on-screen augmentation, which enables interaction with visual content on the screen. Although light field displays contain immense potentials, only basic user interfaces have been devised thus far, including FOX (Focus Sliding surface), which grants users the option to scale and to rotate 3D objects. In this paper, we visualize the theater model on real light field displays and we test the different interactions by means of a monitor room. The theatre model is analogous to real-life theatres, where viewers may observe the theatrical presentation on the stage from various angles. The motivation to choose the theater model was the fact that light field visualization similarly allows multiple simultaneous viewers within its field of view, in which the content can be observed in an angle- dependent manner. Moreover, from the users’ perspective, the theater model is thus familiar and it provides high-quality visual feedback. Furthermore, theater stages encompass a lot of interactions, including rigging and flying systems, pulleys, rotating stages, lights, curtains etc. In order to test the different interaction methods on light field displays, a theater model depicting the virtual environment was implemented. Methods for rendering the monitor room and the results of the interactions are discussed in the paper, illustrated by images of the actual visualization on light field displays. It is shown that producing plausible results with no noticeable visual artifacts is challenging, yet possible. The scientific contributions of the paper also highlight the various novel user interfaces for future light field systems and services.
The Effective Ways Of Entrepreneurial Opportunities For Small And Medium Enterprise Scheme (SMEs) In Borno State

The study investigated effects of insurgency on educational development in Borno State. Basic education is the first level of education for children at primary 1 level to basic 9 which is the junior secondary school level in Nigeria. However, achieving education for all Nigerian children, Borno state need a secured teaching and learning environment. The study examined the effect of insurgent activities such as abduction of pupils and attacks on teachers in basic schools of Borno State and its effect to the development of the education in the state. The sample for the study was 270 teachers of basic schools, selected on the basis of 10 teachers from each of the 27 local government area that constitute Borno State. The instrument for data collection was a 20 items questionnaire title: Boko Haram Insurgency and educational development Questionnaires (HIEDQ). Two research questions were formulated, data collected were converted to mean, standard deviation and used to answer the research questions. It was therefore recommended that the Nigerian government should provide security to the state. The government should show higher commitment in mobilizing the armed forces to end the insurgency in the State and provide adequate security in schools. It was further recommended that the religious leaders should preach against violence act in their respective communities.