Reviewerly/exHarmony huggingface dataset:
ANALYSIS OF SIMPLE SENTENCE STRUCTURE IN ENGLISH: FUNCTIONAL SYNTAX APPROACH

Many approaches in syntax give a deeper chance to analyze the sentence beyond its formal structure even though those approaches focus on the issues of words category, function and role in a sentence construction. The approach of functional syntax emphasizes the sentence structure on the ‘role’ of each function in each category of words that construct the sentence. This paper analyzes simple sentence in English especially declarative sentence to describe the constituent units and the function structure of simple sentence with active voice. The analysis employs Morley’s Functional Syntax Approach to identify the function of each english active sentence element and describe the structure of a simple sentence in English. The results of analysis show that simple sentence can have a syntactic function structure ofS-P-O, S-P-C, or S-P-ACIRC with a functional role structure which is principally composed of semantic roles of the filler elements of each function in the form of participant-process-entity/thing; participant-process-quality or participant-process-feature/quality. The semantic role of the verbs in a sentence determine the elements of filler before and after the verb given in a sentence.&#x0D; &#x0D; Keywords: Functional syntax, verbs, semantic role, syntactic function.&#x0D;
The Choice Construct in the Souffle Language

Datalog has become a popular implementation language for solving large-scale, real-world problems, including bug finders, network analysis tools, and disassemblers. These applications express complex behaviour with hundreds of relations and rules that often require a non-deterministic choice for tuples in relations to express worklist algorithms. This work is an experience report that describes the implementation of a choice construct in the Datalog engine Souffle. With the choice construct, we can express worklist algorithms such as spanning trees in a few lines of code. We highlight the differences between rule-based choice as described in prior work, and relation-based choice introduced by this work. We show that a choice construct enables certain worklist algorithms to be computed up to 10kx faster than having no choice construct.
Modern writing blogs in the literary, scientific, and educational space

We consider the phenomenon of network literature as an integral part of the modern literary process. We analyze such a phenomenon as a “writing blog” for its compliance with the basic requirements of the neterature: hypertextuality, interactivity, multimedia, informality and pro-cessuality of the text, as well as its semantic content. We conduct a study of the author’s blogs of D. Glukhovsky, E. Vodolazkin, E. Grishkovets, on the one hand, as methods of creating an artistic work, on the other, as ways of promoting the personality and creativity of the writer. Meanwhile, we identify not only the author’s peculiarities of blogging and communication of writers with the readership, but also the individual approaches of particular artistic individuals to the creation and popularization of their works (collective texts writing, combining an artistic work with multimedia content, etc.). We consider the issue of studying online literature in secondary educational institu-tions, and also develop ways to solve it. In particular, we propose an introduction to the educational process of research project work on topical issues of neterature, modern interactive teaching methods, as well as communication of schoolchildren with modern network writers in the format of forums and blogs.
Diagnosis of Acute Myeloid Leukaemia Using Machine Learning

We train a machine learning model on a dataset of 2177 individuals using as features 26 probe sets and their age in order to classify if someone has acute myeloid leukaemia or is healthy. The dataset is multicentric and consists of data from 27 organisations, 25 cities, 15 countries and 4 continents. The accuracy or our model is 99.94\% and its F1-score 0.9996. To the best of our knowledge the performance of our model is the best one in the literature, as regards the prediction of AML using similar or not data. Moreover, there has not been any bibliographic reference associated with acute myeloid leukaemia for the 26 probe sets we used as features in our model.
Abmarl: Connecting Agent-Based Simulations with Multi-Agent Reinforcement Learning

Abmarl is a package for developing Agent-Based Simulations and training them with Multi-Agent Reinforcement Learning (MARL).We provide an intuitive command line interface for engaging with the full workflow of MARL experimentation: training, visualizing, and analyzing agent behavior.We define an Agent-Based Simulation Interface and Simulation Manager, which control which agents interact with the simulation at each step.We support integration with popular reinforcement learning simulation interfaces, including gym.Env (Brockman et al., 2016) and MultiAgentEnv (Liang et al., 2018).We leverage RLlib's framework for reinforcement learning and extend it to more easily support custom simulations, algorithms, and policies.We enable researchers to rapidly prototype MARL experiments and simulation design and lower the barrier for pre-existing projects to prototype Reinforcement Learning (RL) as a potential solution.
On Limited Non-Prioritised Belief Revision Operators with Dynamic Scope

The research on non-prioritized revision studies revision operators which do not accept all new beliefs. In this paper, we contribute to this line of research by introducing the concept of dynamic-limited revision, which are revisions expressible by a total preorder over a limited set of worlds. For a belief change operator, we consider the scope, which consists of those beliefs which yield success of revision. We show that for each set satisfying single sentence closure and disjunction completeness there exists a dynamic-limited revision having the union of this set with the beliefs set as scope. We investigate iteration postulates for belief and scope dynamics and characterise them for dynamic-limited revision. As an application, we employ dynamic-limited revision to studying belief revision in the context of so-called inherent beliefs, which are beliefs globally accepted by the agent. This leads to revision operators which we call inherence-limited. We present a representation theorem for inherence-limited revision, and we compare these operators and dynamic-limited revision with the closely related credible-limited revision operators.
THE EFFECTIVENESS OF A PROPOSED PROGRAM BASED ON BLENDED LEARNING TO DEVELOP ACHIEVEMENT IN WESTERN MUSIC GRAMMAR FOR STUDENTS OF THE FACULTY OF SPECIFIC EDUCATION

he grammar of Western music is one of the basic subjects that contribute to preparing the student in music, and then the teacherof music education in specialized colleges, and one of the requirements of this preparation is a good understanding andcomprehension of the student and his ability to acquire the rules and theories of Western music and their application in the rest ofthe other subjects, so we find that it is necessary to pay attention. By dealing with the subject of Western music grammar in avariety of and innovative ways and methods of teaching in order to help students to understand and understand well the materialScientific.
Blockchain innovations for healthcare [Guest Editors' introduction]

In this issue, blockchain was reviewed as a solution for addressing the many healthcare dimensions.
An Integrated Taxonomic Model of Gastronomic Offers Using Web Services and Databases

Data integration is the process of combining data from several different sources into a unified view, making it more actionable and valuable to access by different users with diverse interests.Among data integration approaches, figure prominently databases, cloud computing and web services.With the progression of the technology, mostly in the internet domain, we are facing a proliferation of websites with a high level of data redundancy.Several of those websites evolve in the same domain of activity.To limit the proliferation of websites that content mostly the same information, we propose in this paper, a data integration model based on web services and databases.This double data integration based on a services registry that content main web services in relationship with information contained in a database, respect a specific taxonomy for a specific domain.In this paper, we focus our research on the domain of gastronomy.In order to construct our model, we revisited some main architectures and models that exist so that we can use them as building blocks in the new approach.As building blocks, we can name service-oriented architecture, Universal Description, Discovery and Integration and taxonomy.Revisiting those established models have help us to build the taxonomic data integration model.
Photos Are All You Need for Reciprocal Recommendation in Online Dating

Recommender Systems are algorithms that predict a user's preference for an item. Reciprocal Recommenders are a subset of recommender systems, where the items in question are people, and the objective is therefore to predict a bidirectional preference relation. They are used in settings such as online dating services and social networks. In particular, images provided by users are a crucial part of user preference, and one that is not exploited much in the literature. We present a novel method of interpreting user image preference history and using this to make recommendations. We train a recurrent neural network to learn a user's preferences and make predictions of reciprocal preference relations that can be used to make recommendations that satisfy both users. We show that our proposed system achieves an F1 score of 0.87 when using only photographs to produce reciprocal recommendations on a large real world online dating dataset. Our system significantly outperforms on the state of the art in both content-based and collaborative filtering systems.
Web Fiction as Work: Focusing on the Comment Column

This study aims to analyze interaction in the form of readersʼ comments and writersʼ responses in online comment columns from an ethnomethodological standpoint.The study focuses on Mushoku Tensei, the most-accessed web fiction on the most popular and relevant site, Shōsetsuka ni Narō.The findings of the analysis indicate that: 1) in terms of the design of the readerʼs comment, the reader posted some comments with a downgrade to save their face; and 2) in terms of the content of the readerʼs comment, the reader noted problems in some characterʼs line by referencing the rule of "onnna kotoba/otoko kotoba" in fiction writing.
DISTANCE LEARNING, TEACHING AND EVALUATION STRATEGIES IN THE SUBJECT OF “CREATIVE WORKSHOP” FOR EARLY CHILDHOOD

The Corona pandemic (covid19) imposed itself on the world in 2020, which called for rapid action to find distance educational solutions, with an experimental approach aimed at the quality and development of learning. It has obligated lecturers in universities of all subjects to learn to use distance learning techniques and to adapt to them, by identifying strategies of distance education, learning and evaluation and linking them to learning outcomes. These strategies are influencing factors in the success of the e-learning programs (from Zoom Microsoft and others), as alternative programs through which we seek to achieve quality in the distance learning process with the creative workshop subject. The requirements of these modern applications in higher education necessitate focusing on choosing distance learning strategies that lead to active learning and highlight the role and effectiveness of the learner. Teaching, learning and evaluation strategies vary differ from one program or course to another as a result of their different nature, so this modern method must be implemented on the teacher and the learner professionally in order to compensate for the lack of direct communication. The research tries to present the most prominent and appropriate strategies of teaching, learning and evaluation in the subject of the creative workshop for early childhood online, up to the mutual evaluation, in addition to detailing the difficulties and obstacles and how to overcome them.
Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization

As a challenging task of high-level video understanding, weakly supervised temporal action localization has been attracting increasing attention. With only video annotations, most existing methods seek to handle this task with a localization-by-classification framework, which generally adopts a selector to select snippets of high probabilities of actions or namely the foreground. Nevertheless, the existing foreground selection strategies have a major limitation of only considering the unilateral relation from foreground to actions, which cannot guarantee the foreground-action consistency. In this paper, we present a framework named FAC-Net based on the I3D backbone, on which three branches are appended, named class-wise foreground classification branch, class-agnostic attention branch and multiple instance learning branch. First, our class-wise foreground classification branch regularizes the relation between actions and foreground to maximize the foreground-background separation. Besides, the class-agnostic attention branch and multiple instance learning branch are adopted to regularize the foreground-action consistency and help to learn a meaningful foreground classifier. Within each branch, we introduce a hybrid attention mechanism, which calculates multiple attention scores for each snippet, to focus on both discriminative and less-discriminative snippets to capture the full action boundaries. Experimental results on THUMOS14 and ActivityNet1.3 demonstrate the state-of-the-art performance of our method. Our code is available at https://github.com/LeonHLJ/FAC-Net.
EVALUASI PENATAUSAHAAN ASET TETAP PADA KANTOR DINAS OLAHRAGA DAN PEMUDA PROVINSI PAPUA

This study aims to obtain a clear picture of the effects of recording, inventorying and reporting on the administration of fixed assets at the Papua Province Sports and Youth Office. The type of data used is qualitative data and quantitative data. Primary and secondary data is the data source used. Data collection techniques are used, namely field data and library data studies. The study was conducted using quantitative descriptive data analysis techniques consisting of research instrument test, classic assumption test, and multiple regression analysis. The results of the study show that recording, inventorying and reporting partially has a positive and significant effect on the administration of fixed assets at the Papua Province Sports and Youth Office. Recording, Inventory and Reporting simultaneously have a positive and significant effect on the administration of fixed assets at the Papua Province Sports and Youth Office. Recording is the dominant factor that has a significant effect on the administration of fixed assets at the Papua Province Sports and Youth Office
The Effectiveness of Blended Learning on Practical Application Types in Natural Sciences in SMP Muhammadiyah 4 Gempol

This research aims to know the effectiveness of Blended Learning type practical application in Natural Science Education subjects in SMP Muhammadiyah 4 Gempol. Research is a descriptive quantitative study with the research design of one-group-pre test-post test. The research sample amounted to 19 students from class VIII B. The instruments used in this study are study-management sheets, student activity sheets, student response sheets and student learning outcomes. The data analysis technique of learning implementation using the formula of Percentage of agreement, student activity using activity calculation techniques, student response using the technique of response analysis and learning results using N-Gain. The results of the study gained from the implementation of learning by 95% in good category, student activity of active value and positive response is superior, and test of learning results successfully increased with a percentage of compensation ≥ 85%. Thereby learning Blended Learning by using Moodle learning apps is said to be effective.
Guiding Query Position and Performing Similar Attention for Transformer-Based Detection Heads

After DETR was proposed, this novel transformer-based detection paradigm which performs several cross-attentions between object queries and feature maps for predictions has subsequently derived a series of transformer-based detection heads. These models iterate object queries after each cross-attention. However, they don't renew the query position which indicates object queries' position information. Thus model needs extra learning to figure out the newest regions that query position should express and need more attention. To fix this issue, we propose the Guided Query Position (GQPos) method to embed the latest location information of object queries to query position iteratively. Another problem of such transformer-based detection heads is the high complexity to perform attention on multi-scale feature maps, which hinders them from improving detection performance at all scales. Therefore we propose a novel fusion scheme named Similar Attention (SiA): besides the feature maps is fused, SiA also fuse the attention weights maps to accelerate the learning of high-resolution attention weight map by well-learned low-resolution attention weight map. Our experiments show that the proposed GQPos improves the performance of a series of models, including DETR, SMCA, YoloS, and HoiTransformer and SiA consistently improve the performance of multi-scale transformer-based detection heads like DETR and HoiTransformer.
Training Primary School Teachers to Organize Collective Forms of Work in Small Rural Schools

There appears to be an urgent need to improve the system of training qualified specialists for small schools who can respond to modern changes in education, meet socio-economic needs of the village, follow the major trends in the development of school theory and practice and creatively implement the acquired professional knowledge and skills under the conditions of small different age groups. The paper aims to determine pedagogical conditions, develop and theoretically justify a methodology for training future primary school teachers to organize collective forms of work in small rural schools and experimentally verify its effectiveness. The methodology for training future primary school teachers to organize collective forms of work in small rural schools involves acquiring the content of professional training in a specially modelled pedagogical environment by students during the whole period of university study. The following empirical methods were used: observations, surveys, expert assessment, an analysis of products of students’ creative activity, pedagogical experiment, methods of mathematical statistics (a chi-square (c2)) statistic). An analysis of the results obtained from the control experiment shows some positive dynamics in the readiness of future primary school teachers for this activity (the percentage of students with a creative-and-interpretive level has increased by 16%, whereas the number of students with a fragmentary-and-formal level has decreased by 17.1%), which proves the effectiveness of the developed methodology. The experimental work has significantly enriched the axiological potential of future teachers from small rural schools and developed their system of psycho-pedagogical knowledge about the organization of collective activities of pupils from different age groups, as well as their skills needed to plan, design and organize inter-age interaction in its various forms and conduct a reflective analysis of their pedagogical activity.
EXPERIENCE OF TEACHING THE COURSE «THE HISTORY OF MONEY CIRCULATION» AT THE UNIVERSITY

The article is devoted to the experience of reading a course on the history of money circulation, the teaching practice of which has been tested in a number of higher educational institutions of the Sverdlovsk region. It contains an attempt to analyze the content of this course and its impact on the studying of economic history, numismatics, bonistics, and even collecting by students. The author considers the teaching of such a course necessary for students of a number of specialties for educational purposes. He emphasizes the general culturological effect for the audience, the formation of spiritual and moral values, and even the influence on the preservation of artifacts for the future.
The Suitability of Location for Rehabilitation of Elephants in Chhattisgarh

The elephant is a locomotive creature and identification of the location of an elephant is an important task. It is mostly done by GPS and collar radio process. According to the behavior of elephant’s rehabilitation of elephants is important. For rehabilitation identification of a suitable location is necessary. In our work, we have studied the number of elephants in Chhattisgarh, the cause of human death due to elephant behavior, and the reason for the elephant. We have found the criteria and think to remember them before selecting the location for the rehabilitation of elephants. In the first section of our work, we have given an introduction of the forest, the behavior of elephants, rescue operations to be performed. In the second section, we have discussed datasets related to elephants. In the third section requirements for selecting a location. Lastly, the conclusion section.
EFEKTIFITAS PEMBELAJARAN DARING PADA MATA PELAJARAN APLIKASI PERANGKAT LUNAK DAN PERANCANGAN INTERIOR GEDUNG KELAS XI JURUSAN DPIB SMK NEGERI 3 MAKASSAR DI MASA PANDEMI COVID-19

This study aims to find out how effective the application of online learning is during the COVID-19 pandemic, especially in the subjects of Software Applications and Building Interior Design. In addition, to find out how effective the application of online learning during the COVID-19 pandemic is in the subjects of Software Applications and Building Interior Design, the research method used in this study is a quantitative descriptive research method. This research was conducted at SMKN 3 Makassar in the academic year 2020/2021 with the research subjects being class XI DPIB students with a sample of 31 students. Data analysis in this study used descriptive analysis techniques. Based on the results of the study, it can be seen that the implementation and understanding of online learning is good, but there are still some shortcomings and obstacles in its implementation. From the data analysis of the test results. From the results of the tests that have been carried out on 31 students, 8 students have a very high tendency, 9 students have a high tendency. 13 students have a low tendency. 1 student has a very low tendency. Individual completeness of students who meet the KKM as many as 7 people, while 24 others are not complete. Thus, the Effectiveness of Online Learning for Class XI DPIB Students is included in the low category and shows ineffective results.