Reviewerly/exHarmony huggingface dataset:
STUDENTS’ NEEDS IN TRANSITIVE CHANGES OF REGIONAL UNIVERSITY

The aim of the study is to clarify the needs of students in transitive changes at Udmurt State University during the transition to a transitive strategy of the university innovation ecosystem development in the region. The theoretical part substantiates the main transformational challenges of our time, affecting the field of universities in a transition society - a transitive society, in which the need for constant innovation changes becomes normative. Based on the results of focus groups held at Udmurt State University in 2018, the main problems and factors of impact on the educational environment of a regional university were identified that may be useful for managerial analysis and decision making. Two quantitative studies of 2019, with the general title “Graduates’ assessment of the quality of education at Udmurt State University and their own educational, migration and career prospects,” turned out to be significantly more effective. In the first case, a questionnaire survey of bachelors of 3 and 4 courses and first-year undergraduate full-time students (n=611) was conducted, in the second case - an online survey of UdSU graduates who completed university training in the period 2008-2018, currently residing outside Udmurtia and registered on the vk.com platform, (n = 281). The following were analyzed: the main reasons for choosing UdSU as a university of the first level of training; the quality of university training, the infrastructure of the university, the compliance of educational programs with modern labor market requirements; main post-graduate strategies and factors influencing the migration behavior of graduates.
PENYUSUNAN SKENARIO PEMBELAJARAN KOOPERATIF TIPE SNOWBALL THROWING SEBAGAI UPAYA MENINGKATKAN KUALITAS PEMBELAJARAN DI SDN 001 MUARA LEMBU

This study aims to improve the quality of learning through guidance in developing snowball throwing cooperative learning scenarios for elementary school teachers. This study was conducted at SDN 001 Muara Lembu from October to November 2019. The research subjects were 12 SDN 001 Muara Lembu teachers. This research is a school action research design based on the Kemmis model. The expected indicator of success is that the quality of learning reaches good categories. The results of the study in the first cycle are the average quality of learning to get a value of 61% which includes enough categories, in the second cycle increased to 77% which is classified as good. The conclusion based on the results is that the quality of learning has improved after guidance of SDN 001 Muara Lembu teachers in developing snowball throwing cooperative learning scenarios
3D Modeling of Dwellings from Russian Archaeological Sites in Siberia: Reliability of Approximation

Purpose. The dwelling, as one of the basic elements of the life-support system, more and more often is becoming a focus of researchers’ interest when they excavate archaeological sites where Russian population lived during the New Age in Siberia. On the basis of materials obtained from the excavations, various types of reconstruction are carried out, including 3D models. Written and ethnographic sources are used to create such models as comparative materials. Results. The sources studied give information about the area of the buildings, but indicators of the possible height of these constructions in the 17th – 18th centuries remain hypothetical. Our material is based on representative ethnographic information and archaeological materials on the dwellings of Russian population in the Irtysh River area near Tara, Mangazeya and Sayan ostrog. We used published written sources that contained information about probable height characteristics of dwellings during the 17th – 18th centuries, made our calculations and created 3D models of dwellings, which were analyzed. Conclusion. The main conclusion drawn from the results of our work is that the accuracy of reproduction of certain properties of the original object while making a 3D model should be based not only on the search for analogues, but also take into account the cultural landscape surrounding the object in the studied period of time.
Formation of soft skills of students of higher educational institutions of Omsk (on example of economists and IT specialists training)

Humanitarian workers operate in complex environments with various challenges and demanding working conditions.These challenges put aid workers in a range of risks and under the pressure.However, human resources are crucial for success of humanitarian operations in general.At the same time, each humanitarian operation is reliant on logistics and logistics activities are always connected with logistic staff.Understanding what motivates logisticians to join the humanitarian sector is essential information for humanitarian organizations and for recruiters within.Also, knowing which factors influence motivation and job satisfaction of humanitarian logisticians could help the organizations to struggle with the extremely turnover they have to face.Up to this moment, needed skills and the performance of humanitarian logisticians were examined.Also, the motivators of humanitarian workers are covered in previous research.Therefore, the additional aim of this research is to extend the knowledge about the human resources in humanitarian sector as well.
Face Recognition Using the Combination of Weighted Sparse Representation-based Classification and Singular Value Decomposition Face

Face Recognition Using Combination of WSRC and SVD FaceGiven the increasing need for the creation and development of automated systems, the problem of detecting and identifying the faces of people in the images has been considered by the researchers.In recent years, the sparse representation based classification has been of great interest to researchers.The goal of this investigation is to provide a quick and effective way to identify faces based on the sparse representation.Since the basis of sparse representation is to calculate it through L1-norm optimization for high dimensional dictionary with high computational volume, a smoothed L0-norm optimization-based method was introduced.At the time of obtaining the sparse representation using smoothed L0-norm, due to the high degree of redundancy, when the number of facial features is low, the conditions for the unique sparse representation are not properly satisfied or the model is not accurate, the risk of getting stuck in the local minima will be so much.Hence, the idea of the weighted sparse representation to narrow the search space is presented.In addition, to enhance the identification accuracy in face recognition and face verification under varying illumination conditions, the Singular Value Decomposition method can be used in the feature extraction step.In the extraction stage, the normalized coefficients of Singular Value Decomposition are not sensitive to different lightness conditions, resulting to reduce the effect of illumination variation on the normalized images.Compared to earlier methods, which often fail even in the event of a slight turbulence, this technique can successfully produce facial structural information while preventing the effect of different lightnesses such as cast shadows.The simulation results on the Extended Yale B database show that the proposed method has high accuracy in face recognition with less computational volume and higher speed than the L1-norm based approach.
Who Controls What?

The relationship between AIArtificial intelligence and powerPower is a robust case of the general relationship between knowledge and domination. At present, countries and corporations are competing for the best solutions, and the weight of business—in an increasingly less regulated world—is progressively greater. Under the guise that the private do better and cheaper than the State, the business logic of profit invades critical areas such as Defence, Health, Justice, Education and SocialSocial Security. The transformation of each citizen into a user or customer with a defined potential is advancing rapidly. In this circumstance, it is urgent to regulate. While it is true that a certain level of competitiveness is healthy and beneficial for all, it is also clear that pure competitiveness leads to knowledge protection logics and to the introduction of solutions in the market without proper safety testing. In short, a general attitude of not caring about the means that serve the ends prevails. Here we argue that there should be regulatory institutions and controlControl processesProcess aiming at developing a benevolent AIArtificial intelligence, one at the service of societySociety and of knowledge, which is fair for all.
Generalised distances of sequences II: B-distances with weight sequences

In this paper, we investigate the weighted B-distances of infinite sequences. The general neighbourhood sequences were introduced for measuring distances in digital geometry (Zn), and the theory was recently extended for application to sequences. By assigning various weights to the elements of the sequences the concept is further generalized. An algorithm is presented which provides a shortest path between two sequences. Formula is also provided to calculate the weighted B-distance of any two sequences with a neighbourhood sequence B and a weight sequence. There are several neighbourhood sequences, which do not generate metrics. We prove a necessary and sufficient condition for a B-distance to define a generalized metric space above the sequences. Moreover, our results can be applied if the elements of the sequences used with various weights. In case of weight functions used B-distances we present also the metric conditions.
AN ANALYSIS OF ENGLISH ABSTRACT WRITTEN BY THE PARTICIPANTS ON NATIONAL SEMINAR PROCEEDING

This research investigated about the English Abstract Written By The Participants on national proceeding conducted by University of Pasir Pengaraian. The purpose of this research was to analyzed English Abstract Written By The Participants. This research was descriptive qualitative design. The population of this research was 45 abstract. The sample of this research was 45 abstract. The data was to analyzed by three raters. Based on the two indicator that have given by the researcher. The result of this research that showed based on the first indicator was categorized in good level, mean while The result of this research based on the second indicator was categorized in fair level. The weaknesses of the participants in writing abstract, most of them did not write the conclusion in their abstract. Theweaknesses of the participants in writing abstract, most of them did not written the conclusion, suggestion, and not using ARIAL 11 in their abstract=
Hasil Analisis Teknik Data Mining dengan Metode Naive Bayes untuk Mendiagnosa Penyakit Kanker Payudara

Breast cancer or Mammae Carsinoma is an uncontrolled cell growth in the milk-producing glands (lobular), the gland tract from the lobular to the Breast nipple (ductus), and the breast support tissues that surround the lobular, ductus, vessels Blood and limfe vessels, but does not include breast skin. Research begins by conducting a preprocessing stage, to eliminate missing values. After that the process is imputasi to remove missing values. It then performed a feature selection to see which attribute had a major impact on the data. The last stage is classification with two methods, namely Naïve Bayes. At the end of the study, the method is best to classify the recurrence data of breast cancer patients.
Future Teachers’ Readiness To Work In Multicultural Environment

The relevance of the studied problem is determined by the fact that the personality of the teacher is created during interaction with children in a multicultural educational environment. The process of self-realization of a teacher’s personality in conditions of multicultural communication and parenting provides the basis for intercultural communication, tolerance, focus on professional qualities of many cultural competencies, as well as respect for ethnic minorities. This article reveals the true self-realization of a teacher through a series of scientific judgments. There is a place to create new theoretical foundations in which the teacher’s personality is considered as a “new” set of characteristics, personal qualities and abilities, necessary for educational activities. Preparing future teachers for work in the childrens multicultural environment of the university is able to be implemented as an organic part of the university. The basis will be the available educational programs, which take into account certain tasks of moral, intellectual, civil, humane, patriotic, spiritual education. In conditions of modern multicultural education, the university teacher plays an important role: it is the one who should help future teachers to master the philosophy of cultural identity, but it must be explained that each person can be at the intersection of several cultures, therefore, be a carrier of several cultures. No one doubts the idea that the multicultural literacy of a teacher begins with knowledge of the awareness of cultural affiliation. This material may be useful for teachers of preschool education and psychology, as well as for a wider audience.
MODERN TECHNOLOGIES IN THE DEVELOPMENT OF INNOVATIVE CULTURE OF THE FUTURE MANAGER OF THE EDUCATION INSTITUTION IN THE MASTER’S TRAINING PROCESS

independent professional activity and by his/her readiness to navigate quickly in the modern multidisciplinary space.An interprofessional approach to the activities of physical therapists and occupational therapists, enabling them to bring together unique qualifications to create an effective team that integrates the knowledge and skills of different health disciplines, combined with the ability to work as a holistic system.Effective interprofessional collaboration practices provide appropriate assistance to patients, their families, careers, society, and improve the outcomes of physiotherapy interventions, along with the services of related fields.The interprofessional practice of collaboration gives patients a reduction in the number of complications, the frequency and duration of hospitalizations, the number of clinical errors, mortality rates, tensions, and conflicts among healthcare professionals.In our opinion, the quality of professional activity of physical therapists depends both on the competence of the individual specialist and on his/her readiness for interprofessional interaction.According to the results of the study of methods of organization of interprofessional education of specialists in physical therapy and ergotherapy, the following forms of inclusion of interprofessional training in the educational process can be distinguished: distance learning, interprofessional courses, teamoriented training, clinical-based training, problem-oriented training technology, simulation training, clinical practice, student clinics, project-oriented training.Based on the analysis of scientific and methodological literature, it is proved that the listed methods of organization of interprofessional education of specialists in physical therapy and ergotherapy are acceptable and necessary for distribution in the educational field "Physical therapy and ergotherapy".We consider the issues of development of methodology and pedagogical approaches to the practical application of the proposed pedagogical technologies in the organization of interprofessional education of specialists in physical therapy and ergotherapy promising for further research.
TIMOM: A Novel Time Influence Multi-objective Optimization Cloud Data Storage Model for Business Process Management

In recent years, lots of the BPM (business process management) data storage strategies are proposed to utilize the computation and storage resources of the cloud. However, most of them are mainly focusing on the cost-effective methods and little effort is paid on the time influence of different datasets in the BPM. Storing the datasets with high time influence in the cloud is conducive to reduce the total cost (storage cost and computation cost) which is also important to the better performance of the BPM. Aiming at this problem, this paper proposes TIMOM, a novel time influence multi-objective optimization cloud data storage model for BPM. In the TIMOM model, the time influence model of the BPM is firstly constructed to calculate the time influence value for each dataset. Based on the time influence value, a new strategy, SHTD, for storing datasets in the cloud is designed. Then, by taking response time and total cost as two objectives, the multi-objective optimization method is designed to optimize the performance of the SHTD strategy. This method conducts the non-dominant sorting and calculates crowding-distance for all datasets. By doing this, important datasets are selected and stored in the cloud for repeatedly usage. Experimental results have demonstrated that the proposed TIMOM model can effectively improve the performance of the cloud BPM systems.
Local Collections in Discovery Services: An Inquiry

Many libraries subscribed to discovery services in the hope of boosting the use of their local collections such as print materials, DVDs, or even subscribed ejournals and ebooks that are separate from licensed databases. However, anecdotal evidence shows that the implementation of a discovery service will increase the usage of the vendors’ electronic resources instead. This study aims to find out how well local collections are promoted through EBSCO Discovery Service (EDS), Primo, Summon, and WorldCat Discovery Services (WorldCat) by comparing results of queries in the discovery services versus the number of actual listings from these libraries’ traditional catalogs. Authors conducted three searches based on real-life student assignments in science, history, and sociology in each of the four discovery services. To offset the bias of location configuration, ten libraries with the same discovery tool were selected for each search and total results are averaged. ANOVA and Tukey Honest Significant Difference statistical analyses show differences among the four discovery services investigated. Discovery tools promote local collections in different ways. Some tools provide the possibility to list libraries’ local collections before listing the vendor’s database items, but others are less inclined to do so.
Message Insertion Using the Convolutional Neural Network Model Approach

One problem in computer vision that has long been sought for a solution is the classification of objects in the image in general. How to duplicate the ability of humans to understand image information, so that computers can recognize objects in the image as humans do. The feature engineering process used is generally very limited where it can only apply to certain datasets without the ability to generalize to any type of image. That is because various differences between images include differences in perspective, differences in scale, differences in lighting conditions, deformation of objects, and so on. Academics who have long struggled with this issue. The application of the Convolutional Neural Network (CNN) method for the insertion of messages in an image with the aim of securing the proposed message produces good security, from the test results, it can be concluded as follows The Convolutional Neural Network (CNN) method requires computing time to insert messages in a secret image. The model framework uses 2 (two) images with the aim of the cover image as input and the secret image where the secret image has been inserted a message so that the secret is not visible. The cover image that has been inserted a secret picture that contains the message looks not much different, but the file size of the secret picture has increased by 66%.
PSYCHOLOGICAL ANALYSIS: TRADITIONS AND INNOVATIONS IN MAY SINCLAIR’S NOVEL THE THREE SISTERS

Гончарова О. А
THE EFFECTIVENESS OF DIRECT INTERACTION MODEL–ASSISTED MACROMEDIA FLASH ON COLLIGATIVE PROPERTIES OF SOLUTIONS MATERIAL

Abstract. The purpose of this study was to determine the effectiveness of the use of direct instruction model-assisted macromedia flash. The effectiveness of the learning model are measured by two indicators, that are the activities of students during learning and the level of completeness of student learning outcomes after learning activities. From the analysis of the data it is known that the activities of students during learning are at scores 4 and 5, the average cognitive score of students is 78 and the lowest score was 76. From the results of this study it can be concluded that the application of direct instruction model based on macromedia flash is effective to reduce student learning difficulties Class XII IPA MA Al-Khoiriyah Dalegan Panceng on the colligative properties of the solutions material. Keywords: effectiveness, direct instruction model, macromedia flash, colligative properties of solutions
Penerapan Logika Fuzzy Metode Sugeno Untuk Optimalisasi Nilai Ekspor Ikan Tuna Hs 160414 Ke Italia

To fund the ongoing development at this time the State requires income from various sources such as income from exports. Export is an activity of sending goods abroad where the activity will produce value. And Indonesia's export value which is quite high comes from non-oil and gas exports, one of which is the export of processed tuna 160414. One of the destination countries for the export of processed tuna which is quite high is Italy. The purpose of this study is to find out the best method for predicting the value of processed tuna exports to Italy in the application of fuzzy logic in order to optimize the value of exports. The results showed that the Sugeno method is a good method. The Sugeno method has results that are quite close to the actual results with an error rate of 41%, so the Sugeno method can be used as a recommended method in predicting the optimal amount of Indonesia's 160414 HS exports to Italy.
The Generalised Newton’s Gravitational Field Equation Based upon Riemann’s Great Metric Tensors

The existing theories of gravitation are founded mostly on the Euclidean theoretical Physics in which the influence of gravitational field is ignored. In this paper we derive the Newton’s dynamical gravitational field equation based upon the great metric tension in which the influence of gravitation is consider.
Geographic Information System for Booking Beauty Salon and Barber Shop with an Android-Based E-CRM Approach

Beauty salons and barber shop are a necessity for almost everyone.Nowadays, the business processes of them mostly still use conventional methods.The method gives obstacles to customers who have a lot of activities, for example, they have to come directly to the beauty salon or barber shop to take the queue.In addition, it is hard to promote, communicate and assess without E-CRM media.The location is also difficult to find because there is no guide mark on Google Maps.The Geographic Information System for Booking Beauty Salon and Barber Shop provides solutions for making scheduled bookings and transactions by using the e-CRM approach as in the application of promotional features to attract customers.There are some features offered in the application, such as chat features for communication, rating and review features to assess the services obtained, and route feature as a solution to show the location of selected vendors.The implementation process requires an Android smartphone and a computer device with software including Android Studio, SQLYog, XAMPP, and Visual Studio Code.The results of the implementation is the system can be successfully applied based on experiments and testing directly.
FORMATION OF THE FUTURE OFFICER’S PERSONALITY AS A PEDAGOGICAL PROBLEM

The article justifies the topicality of the issue of personality.Different aspect of pedagogical interaction have been presented.The issue of shaping the future officer's personality has been studied as a pedagogical problem.The principles of pedagogical process have been delineated.The concepts of individuality and personality have been comparably analyzed.