Reviewerly/exHarmony huggingface dataset:
Artificial Intelligence Snake Robot (AISR)

This study was conducted to design, develop and initially implement the Artificial Intelligence Snake Robot (AISR). Specifically, it identified the problems encountered in conducting manual rescuing people from natural calamity; the appropriate features of the tool that can be developed to address the problems encountered, and the respondents’ level of acceptance of the user toward the developed tool in terms of performance, portability, operability, and efficacy. The research used the qualitative-quantitative research method that utilized a researcher-made questionnaire and interview questions. The respondents of the study were fifty (50) Life Rescuers, 25 (25) Red Cross Staff and 25 (25) Random People from different places. The problems encountered in manual rescuing people from natural calamity; hard time finding people lost during disaster, lack of new technologies and equipment, lack of K-9 dogs and burden of working on disaster area. The appropriate features of the tool that can be developed to address the problems encountered were: sensors can make the process of rescuing people faster and easier. The respondents’ ratings for Artificial Intelligence Snake Robot (AISR) were extremely receivable in terms of performance (4.60); portability (4.54); operability (4.51); and efficacy (4.56). The government or other authorities will orient the proper use of the propose robot to avoid having a problem in rescuing people.
INTERCONNECTION BETWEEN THEORY AND PRACTICE BASED ON THE INTRODUCTION OF NEW EDUCATIONAL TECHNOLOGIES AS A PEDAGOGICAL CONDITION OF PROFESSIONAL TRAINING FUTURE PRIMARY SCHOOL TEACHER

The analysis of training a future primary school teacher for the formation of environmental culture of primary school children revealed certain drawbacks: in the professional training of students of higher educational establishments, namely to theory and methods of ecological education studying is paid little attention; among the forms of organization of the educational process are dominated traditional ones (lectures and practical classes) of a reproductive nature; the potential of ecology as an integrated science has not been used; the resource of psychological and pedagogical subjects for environmental training of primary school teachers is not fully involved. All this creates a significant gap between the achievements of science and practice of environmental education in the direction of preparing future primary school teachers for the formation of environmental culture of primary school children. The article is devoted to the search for effective pedagogical conditions for training future primary school teachers for the formation of ecological culture of pupils.&#x0D; The literature on this problem is analyzed, which allows us to conclude that the opinions of scientists are marked by a contradiction about what conditions should be created to ensure the greatest efficiency of the educational process. In general, they determine the pedagogical conditions depending on the direction of their research, in particular: environmental training of future teachers; environmental training of future primary school teachers; formation of the teacher's readiness to intensify the educational process in primary school; development of ecological culture (pupils, future teachers); formation of pupils' caring attitude to nature, a sense of responsibility of pupils. We attach the following meaning to the essence of the concept «pedagogical conditions of preparation of the future primary school teacher for formation of ecological culture of pupils»: it is purposeful and objective possibilities of educational process and the factors and circumstances providing the corresponding process in unity of traditional and innovative approaches. The following pedagogical condition is defined: the organization of the educational process by means of interrelation of theoretical and practical training on the basis of introduction of new educational technologies.
MANAGEMENT OF PROFESSIONAL ADAPTATION OF TEACHERS IN THE SYSTEM OF SECONDARY EDUCATION

The article, based on the analysis of scientific and pedagogical literature, substantiates the basic pedagogical conditions of professional adaptation of teachers in the reform and modernization of secondary school and in the process of their lifelong learning, development of a national management system for professional adaptation of teachers. new conditions for the functioning of the educational sector. It is established that the teacher's advancement to mastery is an endless cycle in which each step is performed in accordance with the general management technology - setting goals for adaptation management is to accelerate the achievement of productivity, value for money, skill, readiness for innovation, satisfaction; positively includes the individual in the system of interpersonal relations, planning - a system of pre-determined decisions, the essence of which allows to coordinate individual efforts of employees to achieve goals, predict measures to improve professional adaptation, establish the desired end results in terms of employee adaptation goals by the adapter (formation of values, introduction to the course of the case, setting tasks in time)., decision-making - dynamic decision-making on the adaptive load.&#x0D; The components of decision-making include - identifying opinions, analyzing the situation, evaluating decisions and situations, generating ideas, organization and implementation - includes building work to effectively and optimally achieve the goal of professional adaptation of teachers, control - a function manifested in effective professional conditions adaptation in the need to ensure the advancement of goals. It is revealed that the problem of ensuring the effectiveness of management of educational institutions requires the need, simultaneously with the achievement of the main goals of organizations, to create favorable conditions for professional development and development of the teacher's personality. One of the most important steps in the professional development of a teacher's personality is the stage of professional adaptation.&#x0D; The main functions of management of professional adaptation of teachers in the system of secondary education are clarified. A model for managing this process has been developed.
A State-of-the-Art Review on Machine Learning-based Methods for Prostate Cancer Diagnosis

Prostate cancer can be viewed as the second most dangerous and diagnosed cancer of men all over the world. In the past decade, machine and deep learning methods play a significant role in improving the accuracy of classification for both binary and multi classifications. This review is aimed at providing a comprehensive survey of the state of the art in the past 5 years from 2015 to 2020, focusing on different datasets and machine learning techniques. Moreover, a comparison between studies and a discussion about the potential future researches is described. First, an investigation about the datasets used by the researchers and the number of samples associated with each patient is performed. Then, the accurate detection of each research study based on various machine learning methods is given. Finally, an evaluation of five techniques based on the receiver operating characteristic curve has been presented to show the accuracy of the best technique according to the area under curve (AUC) value. Conducted results indicate that the inception-v3 classifier has the highest score for AUC, which is 0.91.
Il repertorio latino nel romanzo di „Quer Pasticciaccio brutto de via Merulana‟ di C.E. Gadda

This paper is concerned with the latin terms in the novel of „Quer pasticciaccio brutto de via Merulana‟ by Carlo Emilio Gadda. It is a fundamental novel in the rich production of Carlo Emilio Gadda especially for his language, which is an outstanding example of plurilingualism. The Latin language reveals a significant component of the plurilingualism in this novel. The study focuses on the latin terms and neoformations of latin origin invented by Gadda.
The Effect of Perceived Organizational Support and Psychological Contract on Employee Job Satisfaction & Turnover Intention

The research paper aims to study a systematic and a holistic approach towards perceived organizational support and its effect on employee satisfaction in an organization. It also tries to highlight the importance of psychological contract between the employer and employee. Psychological contract being mutual expectations and obligation arising out of way an organization conduct itself with the employee or expected to conduct. This develops a level of perception among employee towards organization. Positive perception referring to the fulfillment of expectation and negative refers to violation, this perception lead to satisfaction or otherwise among employees and decides upon their future course of action. The study explores the interrelation between the perceived organizational support extended to the employee ant its effect on employee satisfaction by understanding the terms of psychological contract. The study found that organizations need to promote policies and practices which help build positive employee perception by extending organizational support and fulfillment of psychological contract. This will have significant effect on employee job satisfaction and employee turnover intention.
A CCA-Based Item-Side Alignment Method for Cross-Domain Recommendation System

For cross-domain recommendation, it can be divided into strong correlation and weak correlation problems according to the consistency between auxiliary domain and target domain. The weak correlation problem is more practical than the strong correlation problem, and the solution is more difficult. The difficulty lies in how to establish an effective transfer model, to make sure the auxiliary domain and the target domain can perform effective collaborative training. For weak correlation problem, if the item-side of auxiliary domain and the target domain are not aligned, or the transfer model has a strong dependency on the user-side of the auxiliary domain, it will seriously affect the effect of cross-domain recommendation. To solve these problems mentioned above, we propose a CCA-based item-side alignment method (CIAM) by introducing: (1) item side alignment method. We use CCA to align the item side between auxiliary and target domain, to intensify the weak correlation between 2 domains. (2) the transfer model of retaining the user feature of target domain. The CIAM retained user features of target domain in UV decomposition, that makes the transfer model could not destroy the user feature between 2 domains. The proposed CIAM can improve the assistance of auxiliary domain, and can avoid the influence of the needless user-side of the auxiliary do-main on cross-domain recommendation. By experimental analysis, it can be verified that the proposed CIAM algorithm has a better performance than general cross-domain recommendation methods.
A Hybrid Black Hole Algorithm with Genetic Algorithm for Solving Data Clustering Problems

Clustering is a process of randomly selecting k-cluster centers also grouping the data around those centers. Issues of data clustering have recently received research attention and as such, a nature-based optimization algorithm called Black Hole (BH) has said to be suggested as an arrangement to data clustering issues. The BH as a metaheuristic which is elicited from public duplicates the black hole event in the universe, whereas circling arrangement in the hunt space addresses a solo star. Even though primordial BH has shown enhanced execution taking place standard datasets, it doesn't have investigation capacities yet plays out a fine local search. In this paper, another crossover metaheuristic reliant on the mix of BH algorithm as well as genetic algorithm suggested. Genetic algorithm represents its first part of the algorithm which prospects the search space and provides the initial positions for the stars. Then, the BH algorithm utilizes the search space and finds the best solution until the termination condition is reached. The proposed hybrid approach was estimated on synchronized nine popular standard functions where the outcomes indicated that the process generated enhanced outcome with regard to robustness compared to BH and the benchmarking algorithms in the study. Furthermore, it also revealed a high convergence rate which used six real datasets sourced of the UCI machine learning laboratory, indicating fine conduct of the hybrid algorithm on data clustering problems. Conclusively, the investigation showed the suitability of the suggested hybrid algorithm designed for resolving data clustering issues.
Graph-Based Representation Of Syntactic Structures Of Natural Languages Based On Dependency Relations

Deep Learning approach using probability distribution to natural language processing achieves significant accomplishment. However, natural languages have inherent linguistic structures rather than probabilistic distribution. This paper presents a new graph-based representation of syntactic structures called syntactic knowledge graph based on dependency relations. This paper investigates the valency theory and the markedness principle of natural languages to derive an appropriate set of dependency relations for the syntactic knowledge graph. A new set of dependency relations derived from the markers is proposed. This paper also demonstrates the representation of various linguistic structures to validate the feasibility of syntactic knowledge graphs.
Integral geometry on discrete matrices

Abstract In this note, we study the Radon transform and its dual on the discrete matrices by defining hyperplanes as being infinite sets of solutions of linear Diophantine equations. We then give an inversion formula and a support theorem.
PREDIKSI HARGA EMAS MENGGUNAKAN METODE SINGLE MOVING AVERAGE

Gold sales should indeed be done by using a method that is easy to understand, namely to facilitate buyers and traders in conducting mortgage and predict the rise and fall of gold prices. To determine the gold price prediction using the Single Moving Avatar method, this method has a very wide application, although simple, because this method is only developing methods of the average. Some people have. Hopefully this system can help the community. Here the author provides solutions to facilitate pawnshop employees in conducting gold auctions. Single moving avarage is a method used to build a knowledge-based system. The source of knowledge of the system is obtained by collecting gold sales data. Therefore there are many problems in determining the price range and predicting the price of gold. The first step in solving a problem is by first identifying the scope of the problem to be solved, this also applies to any Artificial Intelligence (AI) programming.
Application of morphological processing methods in computer stereo vision

Computer vision algorithms are important for many areas of human activity. In particular, the number of applications related to the need to process images of real-world objects with computerized tools and the subsequent use of descriptive information in a variety of interactive and automated decision-making systems is increased. An important tool for analyzing real-world scenes are approaches to the application of stereo vision algorithms. The important step of many stereo matching algorithms is a disparity map. Depending on the content of the observed scene, part of the values on the disparity map can be immediately attributed to background values on a certain basis, or form a "natural" background, which is characterized by loss of informative data due to unacceptable error of subsequent resultant distance values. The calculated disparity map of any algorithm may contain some shortcomings in the form of discontinuities of continuous information areas caused by the complexity of shooting conditions, the impact of noise of various natures, hardware imperfections, and so on. An approach to mitigating the undesirable influence of negative factors on the resulting disparity is the use of mathematical morphology operations to process disparity maps at the post-processing stage. This paper presents information technology for increasing the content of disparity maps based on the mathematical morphology methods. The technology is based on a combination of morphological operations of erosion and dilation, which eliminates the typical problems of discontinuities of monotone regions and erroneous values on disparity maps. The proposed approach allows reducing the impact of common problems that arise during the operation of stereo matching algorithms, as well as increase the overall informativeness of disparity maps for images of real objects in the absence of partial or complete initial data on the characteristics of the observed scene. The results of testing morphological operations with disparity maps for real objects allow us to conclude about the possibility of partial restoration of areas of disparity maps with gaps in continuous information areas, as well as to reduce the impact of random anomalous values on the overall content of the disparity maps.
PELATIHAN PEMBUATAN VIDEO PEMBELAJARAN BERBASIS POWTOON SEBAGAI ALTERNATIF MEDIA PEMBELAJARAN PADA GURU SMP-TQ MU’ADZ BIN JABAL KENDARI

Activities seek to improve the awareness and information of teachers about the role of educational media in Junior High School learning activities. Furthermore, this curriculum also teaches SMP TQ-Mu'adz Bin Jabal teachers to use the Powtoon technology to design and render instructional videos. Increasing teacher imagination in the creation and use of video learning media is the specific goal to be accomplished, so that science learning in schools can be more contextual. The method used in implementing this Community Service is counselling, training, and question and answer methods. This activity begins with observations in schools and related institutions/agencies in the first week, followed by core activities at SMP TQ-Mu'adz Bin Jabal Kendari. From the results of the dedication, it was found that: (1). This activity has been able to increase teacher knowledge about the urgency of instructional media and the development of forms of instructional media, especially those related to technological developments; (2) This activity has been able to improve the ability of teachers to operate computers or laptops, including in making online-based learning videos that are integrated into Powtoon.
Color Image Encryption Using Angular Graph Fourier Transform

In this paper, an angular graph Fourier transform (AGFT) is introduced to encrypt color images with their intrinsic structures. The graph Fourier transform (GFT) is extended to the AGFT and proven to have the desired properties of angular transform and graph transform. In the proposed encryption method, color images are encoded by DNA sequences and confused under the control of chaotic key streams firstly. Secondly, sparse decomposition based on the random walk is applied to scramble pixels spatially, and a series of sub-images are obtained. This step increases encryption efficiency. Finally, the intrinsic sub-image structure is reflected by graphs, and the signals on different subgraphs are transformed into different AGFT domains with particular angular parameters, which makes the proposed method relevant to the original image structure and enhances security. The experimental results demonstrate that the proposed algorithm can resist various potential attacks and achieve better performance than the state-of-the-art algorithms.
Application Of Certainty Factor Methods To Diagnose Gastrointestinal Worm Infections In Sumatran Tigers

Gastrointestinal worm infection affects the Sumatran tiger. Due to the lack of tools to diagnose the disease, the Sumatran tigers are very often located in Medan Zoo, North Sumatra, and their handling is very rare.Based on the above problems, we need an application in the form of an expert system by applying the Certainty Factor method which is expected to help in diagnosing Gastrointestinal worm infection in Sumatran tigers. With the existing symptoms, the CF value can be determined to get a diagnosis of Gastrointestinal worm infection. So that it can make it easier for a doctor to treat and diagnose gastrointestinal worm infections in Sumatran tigers.The conclusion obtained from the system, is able to diagnose quickly, precisely and accurately the symptoms of gastrointestinal worm infections and is expected to help the community in diagnosing gastrointestinal worms experienced by Sumatran tigers so that treatment can be carried out immediately. This is an open access article under the CC BY-SA license
PECULIARITIES OF DISTANCE LEARNING ORGANIZATION OF STUDENTS WITH DEVELOPMENTAL DISORDERS IN TERMS OF QUARANTINE

The main purpose of the article is to investigate and analyze the features of the teacher's work on teaching junior high school students with developmental disabilities in quarantine. The main tasks are: to analyze the state of the research problem in the psychological and pedagogical literature, to determine the relevance of the study; highlighting the specifics and establishing the essence of the educational process of primary school at this stage; analysis and assessment of the disadvantages and advantages of distance learning in general and in relation to children with disabilities; choice of methods, techniques and means of distance learning; identification of the most effective ways to improve the quality of distance learning for primary school students in quarantine.Several methods were used in the research process: theoretical methods (analysis and generalization of psychological and pedagogical literature on the research problem); empirical methods (questionnaires, expert evaluation, psychological and pedagogical experiment, methods of statistical processing of experimental research data), analysis and synthesis.The article presents the definition of the essence of distance learning, the peculiarities of its implementation with students with typical development and the specifics of the pedagogical approach in the process of teaching junior students with special educational needs; the analysis of the use of special technologies and adaptive technical means of training is carried out; individualization and adaptation of educational materials; the combination of traditional and innovative approaches. The conclusion has been made about the need to acquaint teachers with the principles, organizational and educational components of distance learning: the main social services that provide distance learning on an individual trajectory; the need to increase the computer literacy of teachers and students, to expand the experience of «virtual communication».
Study on the Online Teaching Practices of Enterprise Resource Planning Course

There are great differences in teaching content design and interaction between online teaching and offline teaching.In order to obtain better teaching and learning effect, it is necessary to reconstruct teaching activities, teaching environment, learning and evaluation methods.Based on the analysis of the characteristics of ERP course, this paper discusses how to effectively use the course platform and live broadcast software for online teaching.This paper take sales management as an example, redesigns the complete teaching process and provide reference for further improving the teaching quality and teaching effect.