Reviewerly/exHarmony huggingface dataset:
Cube Sampled K-Prototype Clustering for Featured Data

Clustering large amount of data is becoming increasingly important in the current times. Due to the large sizes of data, clustering algorithm often take too much time. Sampling this data before clustering is commonly used to reduce this time. In this work, we propose a probabilistic sampling technique called cube sampling along with K-Prototype clustering. Cube sampling is used because of its accurate sample selection. K-Prototype is most frequently used clustering algorithm when the data is numerical as well as categorical (very common in today's time). The novelty of this work is in obtaining the crucial inclusion probabilities for cube sampling using Principal Component Analysis (PCA). Experiments on multiple datasets from the UCI repository demonstrate that cube sampled K-Prototype algorithm gives the best clustering accuracy among similarly sampled other popular clustering algorithms (K-Means, Hierarchical Clustering (HC), Spectral Clustering (SC)). When compared with unsampled K-Prototype, K-Means, HC and SC, it still has the best accuracy with the added advantage of reduced computational complexity (due to reduced data size).
Automated Content Generation System Using Neural Text Generation

Most of the time people find content writing to be difficult, despite the fact that it appears to be easy. Many struggle with language, particularly when writing letters, documents, and other forms of writing. It might so happen that the writer may not adhere to the style or format of content demanded. In such instances, one may turn to applications to help them write. Though several tools are at one’s disposal, the content thus spawned may not be up to the writers’ requirements and expectations. This paper, therefore, proposes a method by which this issue can be resolved and aid the writer in generating coherent, meaningful content taking into account the key points he/she wants included. The modus operandi involves extraction of keywords using a branch of Machine Learning called Natural Language Processing from the key points entered by the user and producing a cogent piece of content using Neural Network and NLP. This ensures that the content is moulded as per the user’s needs.
Competence model of personality of the graduate of the master's program in the direction 44.04.02 - psychological and pedagogical education

The article is devoted to the actual problem of the formation and development of the personality of a master student studying in the direction 44.04.02 - psychological and pedagogical education. With the introduction of new standards into educational practice, an urgent need arose to build a graduate model, according to competencies. The authors place particular emphasis on the methodological analysis of the foundations for the development of professionalism, on the patterns of formation of the labor functions of the teacher-psychologist. In their search for truth, researchers used only theoretical tools of knowledge, such as the axiomatic method, modeling, analysis, synthesis, idealization. Thanks to which the authors prescribe the content characteristics of the components of the competence model of a graduate of a pedagogical university in the direction of training "Psychological and pedagogical education". This model consists of professional, motivational, value and personal components.
EXPLORATION GEOMETRY TRANSFORMATION CONCEPT FROM SAMARINDA SARONG

Samarinda sarong is a masterpiece or special craft that lived in Samarinda city and one of the most icon from this city. This culture should be able to give attention to the people of Samarinda, because through education based on local wisdom it is able to grow the love of students to preserve the culture in which they live. The purpose of this study is to find out geometry transformation concept that found from Samarinda sarong design in Tenun village. The research method used is a qualitative research method with an ethnographic approach. The research was conducted at Cahaya Samarinda production site in RT.07 Weaving Village with the research subject being the samarinda sarong and the object of research is the geometry transformation concept that is in the sarong motif made. Research data were collected using documentation techniques. Data analysis was carried out by reducing, presenting, making conclusions, and then presented in detail by linking supporting theories. Form explore result have found geometry transformation concepts such as translation, reflection, rotation, dilatation and some compotitions that was happened.
THALER v COMPTROLLER GENERAL OF PATENTS

Abstract H1 Patents—Patent applications—Identification of inventor—Artificial intelligence—DABUS—Statements of inventorship—Whether the inventor could be a machine—Entitlement to apply—Entitlement to grant—Appeal to Patents Court
Research and Application of Computer Internet Technology in Intelligent Financial Risk Monitoring System

At present, the daily transaction volume of major domestic banks is nearly 10 million, and the average daily transaction volume exceeds 100 billion yuan. A large amount of structured and unstructured transaction data is generated, which is difficult to manage effectively. How to formulate fast and effective financial risk control strategies, improve the efficiency of customer information data processing, and timely predict and prevent credit and fraud risks in the business has become an urgent problem for financial enterprises. The DOcean-based financial risk monitoring system relies on the DOcean system to efficiently manage massive amounts of data, while using content-based text similarity retrieval, image similarity retrieval based on color and image features, and key frame-based video similarity Retrieval and other technologies fully excavate the practical application of unstructured data in financial risk control.
Spatial Hierarchical Attention Network Based Video-Guided Machine Translation

Video-guided machine translation, as one type of multimodal machine translation, aims to engage video contents as auxiliary information to address the word sense ambiguity problem in machine translation. Previous studies only use features from pre-trained action detection models as motion representations of the video to solve the verb sense ambiguity, leaving the noun sense ambiguity a problem. To address this, we propose a video-guided machine translation system using both spatial and motion representations. For the spatial part, we propose a hierarchical attention network to model the spatial information from object-level to video-level. We investigate and discuss spatial features extracted from objects with pre-trained convolutional neural network models and spatial concept features extracted from object labels and attributes with pre-trained language models. We further investigate spatial feature filtering by referring to corresponding source sentences. Experiments on the VATEX and How2 datasets show higher BLEU scores than the SOTA method.
Composition of the ore-forming fluid and physicochemical parameters of ores formation of the Malmyzh Au-Cu-porphyry deposit on the example ore area Freedom (Far East, Russia)

Fluid inclusions in quartz from one of the Au-Cu mineralization centers of the Malmyzh porphyry deposit’s — Freedom are studied. Established the chloride-predominant composition of fluid, that was formed Au-Cu mineralization of deposit. The main physical and chemistry characteristics of ore-forming fluid: temperature — 250–530 С, salts concentration — 0,8– 48,0 wt% NaCl eq., pressure — 15–62 MPa. Based on calculations of ore-formed fluids pressure concluded what ore formed on depth 1,5–2,4 km. The ore-bearing block moved up to 900 m during the ore-formation time. The results of study can be used in prospecting and exploration of gold-copper porphyry deposits.
THE ESSENCE AND FUNCTIONAL FEATURES OF QUALITY MANAGEMENT IN SCHOOL EDUCATION

Introduction. Today, the managers of a modern school are faced with the task of organizing the work of the teaching staff at such a level as to provide all the conditions for the personal development of the student, the development of his creative potential, the conditions for a full-fledged life process, mental comfort, and increased learning efficiency. The article analyzes the essence and functional features of the quality management of school education in the implementation of these tasks. Research methods. Today, the issue of quality management of human activities is becoming the cornerstone of world civilization. However, most scientists believe that the state of scientific research on the aspect of school education, dedicated to quality management, does not fully meet the needs of modern theory and practice of pedagogical management. In most scientific work, the methodology of school management is considered in general and, as a rule, does not fall into the ranks of special studies, except for very few publications. In this regard, today in school education there is a certain diversity in understanding the essence of quality management and its functional characteristics. Results and discussions. In its essence, as a feature of Quality Management in Education, V.N. Azarov, A. Bellabarra, M.M. Potashnik and others noted that the goals of two different characters, which can enter into a certain conflict: pedagogical; they say that it is possible to face economic groups. Of course, pedagogical goals are considered basic. According to its status, the main task of an educational institution of a certain level is to meet the needs of the population for educational services of a certain profile. Naturally, the production of educational services requires financial resources to provide material resources and manpower, organize an effective educational process, create appropriate conditions. It is for this reason that the tasks of economic character are an important part of the activities of an educational institution, regardless of its type, level, subordination and form of ownership. Bunda, the successful implementation of all the tasks facing a modern educational institution requires an appropriate quality management system. Conclusion. Based on the experience of previous researchers, it is recommended that in modern understanding quality management is based on the interaction of professionals, it is based on the satisfaction of the needs of the students towards the effective provision of appropriate compensation, the society, the specific people and the educational services provided by the state to determine the optimal management, the targeted, systematic process The essence of the quality management of school education can be explained by the groups of functional characteristics that reflect the quality of the potential for achieving the purpose of school education, the formation of the competency of students and the quality of the result of Education.
Introducing Notifications

Just about every operating system in history has invented a mechanism to alert you to interesting, important, or emergency notices. From counting "likes" to low power warnings, notifications are a ubiquitous part of almost every device experience. Android provides a contemporary notification ecosystem and takes the basics further with some very useful abilities in its notification framework.
Describing Data

Abstract This chapter covers how to write about data analyzed for a technical article. Examples are provided for writing a data description, including how to reference the source of the data, describe methods used to collect the data, summarize how the data were cleaned and prepared, and provide information about the variables used in the analysis. This chapter also provides tips on how to present summary statistics.
Geometric Encoded Feature Learning for 3D Graph Recognition

To meet the requirement of diverse geometric transformation and unstructured graph data for intelligent shape analysis method, this paper proposes a novel 3D graph recognition method based on geometric encoded feature learning, which effectively optimizes the feature extraction process from low-level geometry to high-level semantics, and improves the generalization and robustness of deep learning.Firstly, we adopt GMDS and KNN to build isometric embedding space and extract intrinsic geometric features.Secondly, in combination with the BoF method, the unified geometric encoded feature is generated, which effectively enhances the shape description ability of all kinds of graph data.Finally, an adaptive dynamic graph convolution network is established.Through dynamic spectral graph convolution and weighted feature refining, we implement efficient deep feature extraction and 3D graph recognition.A series of experimental results show that our proposed method achieves better performance in graph recognition and classification task.Moreover, whether the 3D graphs are rigid or non rigid, or incomplete and unconnected graph data, our method is significantly robust and efficient.
Reading and Writing Data

Storing data and the results of your programming efforts is important for working over multiple sessions and sharing your results with collaborators. When Python closes, all the variables in the memory are lost: data must be stored in some other way. Sometimes data must also be readable by or written in a form that can be read by other programs. This chapter shows how you can use Python to read and write data in several common formats.
Viewpoint Resolution: A Critical Evaluation

Viewpoints-based requirements engineering is an active area of research. This paper provides a critical evaluation of a particular technique for the early validation of requirements using viewpoints. The technique is limited to the syntactic analysis of requirements and lacks a conflict resolution strategy. This paper describes an approach to the very early validation of requirements based on learning about the viewpoints and building models of their behaviour. The method is a collection of domain-independent heuristics to build internal models of the viewpoints that record their performance in providing information, assessing information, and resolving conflicts between viewpoints.
Experiments on Recognition of Infinite Grid Graph Labelling

In recent years, topics related to automaton analysis of geometric environment have attracted widespread attention. The interaction of an automaton and an environment is often represented as a process of an automaton walks along a graph (labyrinth) of environment. Treating environment as vertex-labelled graph was suggested as one approach to addressing the problem of automaton analysis of environment properties. Research in this regard received a wide range of applications, for example, in the problems of image analysis and navigation of mobile robots. This paper considers a four-way infinite lattice graph as a model of an environment for a graph-walking automaton. All vertices of this graph are labelled with labels from a known set but concrete labelling function is not a priori known. The automaton looking over neighbourhood of the current vertex and may travel to some neighbouring vertex selected by its label. The objective of the automaton is to determine two pairs of opposite directions on the aforementioned graph embedded onto integer lattice, i.e. recognizing the graph labelling. In previous work we have proposed a labelling thanks to which a finite automaton can walk on graph in any arbitrary direction. We have called this labelling deterministic. We have proved that minimal deterministic vertex labelling of infinite lattice graph uses labels of five different types. The paper demonstrates that there exists 240 different minimal deterministic labellings of the infinite lattice graph with a fixed set of labels. We prove that a single automaton cannot recognize minimal deterministic labelling of the infinite lattice graph, but automaton with one pebble can. The novelty associated with this paper is a new type of experiment with vertex labelled graphs designed to recognition their labelling. The method of constructing and performing recognition experiment for labelled infinite grid graph is proposed.
Role of Mobile Learning in Enhancing Academic Achievement of Students at University Level

The main objective of the study was to investigate the role of mobile learning in enhancing the academic achievement of students at the university level. The current study was descriptive in nature, and a survey method was applied for the conduction of the study. The targeted population was all the students of the University of Kotli, Azad Jammu, and Kashmir. The researcher selected 353 university students as a sample of the study. A five-point Likert scale questionnaire was used as a research tool. Collected data were analyzed by using simple percentages, frequency, and mean scores. It is concluded that mobile technology enables students to engage in academic tasks, provides students with a unique learning experience; students collect information and research engines, engages students in computer and online learning. It is recommended that mobile learning can be improved by providing teacher training on behalf of university administrators for use in the process of teaching and learning.
An overview on e-management of schools

Information advanced technologies have had an impact on educational institutions. Information systems were used by principal to enhance the efficiency of administrative services. Computer technology of school administration is the basic topic of today's school administration, as we are at the start of the School Information Systems. In the progressively growing daily managers, principals have begun to use information technology. The point of the study is to learn more about principals' views on information systems and how they are utilized in primary schools. This study included 98 Coordinate closely primary school principals as respondents. A five-part questionnaire was developed to gather data. The first section gathered demographic information about respondents. The others made statements on information systems for school administration. Frequency, percentage, average, and standard deviation have been used to evaluate the data. These findings revealed that, while primary schools' technological infrastructures are inadequate, school information systems play a significant role in school administration.
Geological maps

Geological maps represent the areal distribution of surface rocks belonging to different formations. The maps are based on direct data collected by geologists at rock exposures, assisted by indirect evidence obtained, for example, by study of the geomorphology and by evidence derived from geophysical surveys. This chapter also looks at the uses of these maps.
Multi Skill Human Resource Group Intelligent Scheduling Method Based on Reinforcement Learning

To improve the intelligence of multiskilled human resource group scheduling, a multiskilled human resource group intelligent scheduling method based on reinforcement learning is proposed. It is divided into six steps to build an enterprise project group, mainly including the definition of the project group, project selection and evaluation and resource allocation of the project group. The focus is on the research and establishment of a project group selection evaluation model and resource allocation model. At the same time, during the implementation of the project group, the structure and plan of the project group are constantly adjusted through feedback information to improve the efficiency of multiple project implementation. Based on reinforcement learning, the scheduling direction of the multiskilled human resources group is determined. The selected reinforcement learning algorithm is the Q reinforcement learning method, that is, an offline instantaneous TDOA algorithm independent of the environmental model. A Kubernetes group intelligent scheduling model is constructed, and a simulated annealing genetic algorithm is designed to solve the group intelligent scheduling model to realize the group intelligent scheduling of multiskilled human resources. The test results show that the scheduling failure rate of this method is low in the cluster environment with sufficient and insufficient resources, indicating that this method has broad application prospects.
An Efficient Auditing System for Secure Cloud Storage

The cloud offers stockpiling administrations where clients can store a tremendous proportion of data. Clients are given adaptable measures of extra room alongside the specific number of processors and essential memory where they can play out the fundamental errands. This sharing of realities is commonly executed by framing organizations of clients who share a normal intrigue. Data shared through any individual might be gotten to the method for by utilizing various clients inside the foundation, where the realities owner is a piece of the data that is spared inside the cloud should be incorporated from burglary, abuse, etc. For the explanation that man or lady can likewise shop basic and delicate data inside the cloud it's miles the commitment of the cloud specialist organization to ensure that the data is agreeable and furthermore to hold the protection of the clients who share the realities inside the association clients in a set can likewise make adjustments to the realities which is shared inside the association. Additionally while somebody gets to the measurements most refreshed realities should be made accessible all together that substantial surmisings and activity. For this reason right now, protection and information security of shared information in cloud utilizing encryption to save the client security. Likewise Third Party Auditor (TPA) reviews the information put away in the cloud. He ought to have the option to check the dependability of the CSP without uncovering the personality of the clients in the gathering.
Strategies to Combat Internet Sales of Counterfeit Goods

The proliferation of counterfeits for sale on e-commerce sites has created new and more dangerous challenges to brand owners than counterfeits sold through brick-and-mortar establishments. Most brand owners are currently focusing their efforts on simplifying and streamlining Notice and Takedown (NTD) procedures set up by e-commerce platforms to remove illegal listings. The shortcomings of these efforts are that NTDs do not directly reach the counterfeiter who remains free to conduct its illegal activities with impunity and that NTDs do not prevent delisted counterfeiters from reappearing in short order under a new fictitious name and identity.Brand owners should seek to induce China to rigorously enforce its recently enacted Electronic Commerce Law (ECL), which was designed by China’s law-makers to create a “choke point” that excludes counterfeiters and other unscrupulous merchants from gaining access to online accounts. The ECL requires multiple layers of government review and approval that were designed so that they can be satisfied only by legitimate and economically viable business entities. To date, e-commerce sites in China do not strictly comply with the ECL and U.S.-based e-commerce sites do not require any compliance whatsoever with the ECL. Rigorous enforcement of the ECL should result in preventing counterfeiters from gaining access to e-commerce sites based in China and the United States and should lead to a decrease in sales of counterfeits on the internet.
ABOUT THE SITUATION IN THE MODERN EDUCATION SYSTEM IN RUSSIA AND THE PLACE OF PHILOSOPHY IN IT

The article examines the situation in the modern education system in Russia, which arose as the result of reforms that began in the 90s of the twentieth century. It is noted that the reform of the education system should not turn into an end in itself, that it is necessary to understand what result the reform of the Russian education system is aimed at. The problem of the place and importance of philosophy in the education system, as well as the position of philosophy as an academic subject in higher education is also raised in the article.