Reviewerly/exHarmony huggingface dataset:
Methods of the development of the architecture of the neural networks for identification and authentication of individuals

This paper deals with the neural network methods of the implementation of systems of identification of individuals based on videos and photographs.Over the last few decades, it has been considered to be one of the most powerful tools and has become very popular in the literature as it is able to handle a huge amount of data.The neural network architectures used in modern biometric identification systems have been reviewed.Based on the research conducted in this field, an approach was developed that can improve the accuracy of object recognition in photo and video images by increasing the quality of the attributes of the weights and reducing the number of the weights, as well as the number of the connections.The basis of the developed neural network model is a multilayer perceptron; the main system is a convolutional neural network.The neural network model has been implemented using the Python programming language with the most popular machine learning libraries Keras and TensorFlow.In addition, we will also enumerate the parameters that affect CNN efficiency.
ENLIGHTENMENT ACTIVITIES OF THE FUTURE TEACHER IN A RURAL ENVIRONMENT

Introduction. The training of future teachers is one of the most discussed topics in education. Special attention focuses on a rural school and its staff. Teachers of a rural school should undoubtedly have a high creative potential, social activity, and stable emotional intelligence. The rural teacher should be able to solve professional problems quickly and, sometimes, extraordinarily, strive for self-improvement and competently participate in resolving the uncharacteristic issues through a constructive dialogue with the authorities and the population living in the village. The specifics of the rural environment require the future teacher to master another type of professional activity. This is enlightenment. Thus, the phenomenon of the “enlightenment activity” of a future rural teacher is an object of the analysis. This paper reveals the concept of enlightenment activity of the future teacher; clarifies the structure of this activity; identifies the features of the rural environment; determines the main directions of the enlightenment activity of the future rural teacher; presents the summary results of the sociological survey on the stated research topic. Materials and methods. The study involved a general analysis of the educational activities of the future rural teacher. The methods employed are the analysis of scientific, psychological, and pedagogical literature on the topic of the research; pedagogical observation; conversation and questioning of primary school teachers, teachers of preschool and additional education, students of Angarsk Pedagogical College, parents, or their representatives. The results of the study. The analysis of the theory and methodology in pedagogical education of the rural population has made it possible to clarify the essential characteristic of the “enlightenment activity” concept and present the structure of this activity. The sociological survey “My small Homeland, what is it?” was conducted to identify the features of the rural environment and the main directions of enlightenment activities in the rural area. Students of Angarsk Pedagogical College and their parents, primary school teachers, teachers of preschool and additional education living in rural areas took part in this survey. Its results are summarized and presented in this paper. Conclusion. The practical significance of the work lies in considering the phenomenon of “enlightenment activity” of the future rural teacher. The study is still ongoing, but even preliminary data allow the conclusion that it is necessary to introduce the sections aimed at developing the skills to carry out the enlightenment activities of future teachers in a rural environment in the educational programs of the SBPEI Angarsk Pedagogical College. Keywords: enlightenment activity, education, future teacher, rural environment, professional activity, place of residence, family and neighborhood microenvironment
AssuredPNT Intelligent Virtual Sensors for Dynamic Modeling

Accurate and reliable Position, Navigation, and Timing (PNT) information is vital in military applications for mission success. The most promising low SWaP-C systems for Assured PNT include relative aiding sensors such as vision (active LiDAR, passive camera), air/wheel speed sensors and other dead-reckoning sensors (magnetometer, barometer). As actual physical devices, they are subject to the usual practical requirements for integration into an Assured PNT system including reconfigurability (plug&play), autonomy-level, deployment feasibility, computational burden, latency and compensation thereof, interdependency, efficiency, and affordability. This paper presents developments of intelligent virtual aiding methods that extend the perceptive space and acuity of physical aiding sensors through the use of knowledge-based systems considering vehicle type, environmental conditions, coverage area, and dynamic range, founded on both programmed models such as non-holonomic constraints and captured knowledge of vehicle dynamics. Our approach utilizes knowledge-based systems and artificial intelligence methods, including artificial neural networks (ANN). Central to this is the concept of a virtual measurement, which is a computationally derived, sensor-fused, knowledge-infused interpretation of an input space that when taken collectively can construct higher-level percepts of the space. The composition and fusion multiply the constituent capabilities allowing extension into higher degree-of-freedom estimation under more tightly guided constraints and lower degradation of certainty. Programmed knowledge of non-holonomic constraints and machine-learning models of vehicle dynamics were developed and tested for 2D land-platforms (wheeled, railroad, robots etc.), 3D sea-platforms (vessels), and 6D air-platforms and tested under degraded GPS quality conditions.
Methods and Technologies of Internal Speech Recognition by Non-Invasive Neurointerfaces

The brain coordinates the reproduction and understanding of internal speech. The processes of thinking are given in the form of internal speech. The perception of internal speech involves the primary and secondary crust centers of analyzers, which record the corresponding waves, signals and rhythms and qualify them as language. This is achieved in two ways: either use functional neuroimaging and other additional research methods that allow localizing the structures currently functioning, or select patients with damage to certain areas and conduct a detailed neurocognitive study in comparison with healthy people from the control group, determining which functions in this lesion fall out. The principal issue of internal speech research is languages. A more complex question is the study of the connection of thinking, memory with internal speech. Now, especially when neurologists take into account the plasticity of the brain, functional relationships, general principles, pathways of excitation are of greater interest. Technologists of non-invasive neurointerfaces use methods and technologies to localize structures that control the understanding and reproduction of internal speech, the communication between them, the stages of speech signal processing and the role of each structure at these stages. The introduction to the study highlights approaches and methods for identifying various functional speech aspects. The mental lexicon section discloses the semantic component and the syntactic component, as well as the perceived and reproducible forms of words of internal speech. The section holographic human consciousness describes aspects of storing life information. The hologram of consciousness is the main form of storage of information about human life. In the section, holographic fixation of internal speech presents functional magnetic resonance tomography focused on BOLD effect detection, which is today the optimal tool for mapping neuronal activity, more precisely, the functional state of neural networks - the basis for visualizing our holographic images in real time. Using nanoresonators with Fourier transducers, the brain activity of a human internal speech holographic image can fix mental noninvasive neurointerface in language form by mental lexicon.
Sistem Informasi Akuntansi Pada Koperasi Karyawan Politeknik Caltex Riau

Polytechnic Caltex Riau employee union as known as KOPKAR PCR founded in 20 August 2009, until now still persist with the conventional system feeling overwhelming when make a financial report. The direct impact of it are unable to give out the financial report correctly, creating the trouble on stock inventory monitoring which stock where the change of inventory stock which has been bought as well as inventory sold note down manually by employee. This research was built based on problems that happen on KOPKAR PCR with using first in first out (FIFO) method. In merchandise inventory recording also using perpetual recording so that stock recordings done continuously in inventory stock. Then system tested to accounting expert with test result is stated had been corresponding with provisions and trade sector accounting cycle as it should be. This system also tested with user acceptance test (UAT) testing with testing proof as many as 75 testing items. The result is the system that developed already accepted and fulfilling every user need. Next system testing done with interview way to every user, user stated that accounting information system can be operated easily marked by user only input transaction into the system,  system automatically can give financial report and this system can reduce manual recording so the system which are made according to the user needs.Keywords: KOPKAR PCR, FIFO, dan User Acceptance Test (UAT)
Hate Speech in Songs

This paper aims to reveal hate speech in songs using the hermeneutic approach. The method used is descriptive-qualitative and the source of data are six Indonesian songs containing hate speech. The data are collected by using interview (cakap) method and listening (simak)method. The data analysis applies distribution(agih) method with deletion technique and substitution technique. The results shown the songs contained hate speech raised the political issues and institution in Indonesia. The songs writers, singers and followers have certain hate speech through these songs. They convey indirect messsages to their listeners as the receivers of these songs. Consciously or unconsciously, listeners are not only getting entertainment, but more than being influenced and trust the information they convey so as to create the image they want. The problems arise in these songs are expressions of hate speech towards the current ruling government, and efforts to replace the president, hate speech towards the Indonesian armies related to their inconsistency, hate speech to the government that do not protect and favor the people, and hate speech on religions in Indonesia.
An Analysis of Undergraduate Saudi EFL Female Students' Errors in Written English Essays

This study aims to investigate the common errors made by 130 undergraduate Saudi female students at King Khalid University (KKU) in English writing and to trace the ratio of the frequency of different categories and types of errors. The significance of this study is to identify the reasons for the weakness of academic writing and thus find appropriate solutions and proposals for it. This study seeks to find answers for What are the most common English writing errors that are made by EFL Saudi female learners at the faculty of Languages and Translation at KKU? What is the ratio of the frequency of different categories and types of errors? What are the possible identified reasons behind those errors? The sample is chosen randomly from level four (elementary), five (intermediate), and six (upper-intermediate). This study uses a quantitative method as there were a close-ended questionnaire and an analytically quantitative design in which statistical and numerical data are investigated and analyzed for results. The analysis of written essays is derived from Corder’s (1967) method on error analysis. The findings of the study indicate that the common errors were committed under four categories as grammar, lexis, semantics, and mechanics. Most of the errors were committed in the mechanics' category (51.5%) which included punctuations, capitalization, and spelling errors. Furthermore, spelling was highly committed by all the students. The findings also revealed that the highest percentage was related to the teacher with much negative criticism due to students usually feel alienated and hate material when the teacher is bad (37.4%). In light of the findings, recommendations were made to improve the writing skills of Saudi English as a foreign language (EFL) students.
A Parameterless t-SNE for Faithful Cluster Embeddings from Prototype-based Learning and CONN Similarity

We propose an improvement to t-SNE which allows automated specification of its perplexity parameter using topological information about a data manifold revealed through neural prototype-based learning.This information is contained in the CONN (CONNectivity) similarity of neural prototypes, which expresses the strength (weakness) of topological connectivity at various points within the manifold.Experiments show that improvements, collectively called CONNt-SNE, are capable of producing meaningful and trustworthy low-dimensional embeddings without the need to heuristically optimize over (i.e., grid search) t-SNE's perplexity space.Data-driven perplexity determination improves our confidence that any structure appearing in the embeddings is valid and not merely an artifact of spurious parameterization.1 Background t-SNE [1] has attracted wide attention both within and outside the machine learning community as a tool for producing low-dimensional non-linear embeddings, where d ′ << d, for exploratory (visual) data analysis.Typically d ′ ∈ {2, 3}.The appetite for such analysis across disciplines is strong, but many questions have been raised about what, exactly, can (should) be inferred from a t-SNE embedding.t-SNE's introduction subtly stresses its distinction as a technique only for visualization (vs.feature engineering/extraction), yet its embeddings are often clustered either informally (via visual assessment) or formally (applying a clustering algorithm to T ).Some [2] have noticed relative deficiencies in t-SNE's ability to faithfully indicate separation in complex manifolds.[3] offers a list of various misinterpretations that can be made from a t-SNE embedding due to its unfaithful representation of cluster sizes, shapes, densities, compactness and separability.Most of these issues arise because t-SNE is designed to preserve conditional probabilities between points instead of distance.We believe these issues are not severe impediments to successful cluster discovery from low-d representations; indeed, over the last three decades the lattice representations of data learned by Self-Organizing Maps [4] have produced many successful clusterings without explicit preservation of, e.g.scatter, between the high-and low-d spaces.However, [3] does raise one issue we feel fundamentally impacts the fidelity of a t-SNE representation: that of selecting its main "perplexity" parameter, which
Meningkatkan Motivasi Belajar Peserta Didik Kelas V SDN 05 Enam Lingkung Setelah Kembali Pembelajaran Tatap Muka

Learning that is usually carried out in educational institutions so far is face-to-face learning before the world is called a global disaster, namely the corona virus. Even in elementary schools, learning is carried out face-to-face between teachers and students. However, when the corona virus also reached Indonesia, the face-to-face learning that was usually carried out turned into learning at home (BDR). More than 2 years of implementing home learning (BDR) has an impact on students. One of them is that they become less motivated to learn. The aims of this study were to (1) describe the learning motivation of students; (2) describe how to increase students' learning motivation. The results of this study are (1) learning motivation is the driving force of individuals both internally and externally to achieve learning objectives (2) how to increase students' learning motivation is to improve the quality of learning, choose appropriate learning methods, maximize learning facilities, utilize the use of media, conduct learning evaluation.
Mathematical Term and Word Recognizer

Speech recognition has found little use in recognition of textual material due to the large dictionary and hence large word error rates. Mathematical Term and Word Recognition constricts the speech recognition to math equations; it takes as input math formulas presented in the form of user speech and produces the equations in digital mathematical form. The smaller dictionary and the specific grammar structure of the math equations help restrict the problem of the recognition process. The program has room for smartly guessing words based on the grammar structure and thus resulting in a lower error rate and better recognition.
ORGANIZATION OF STUDENTS 'PROJECT ACTIVITIES IN PHYSICS LESSONS

The article shows that in the design process students are required not only to identify but also to substantiate certain essential features of the content component of the school course of physics. Therefore, forming a holistic view of the components, you can limit yourself to a system of questions that play the role of cognitive tasks, solving which in small groups, students get one or more essential features of the component. The most rational ways of formation and use in the course of training of the generalized systems of independent works of the pupils directed on development of their creative activity, independence, thinking are specified.
New threats to women, safety in context to cyber security in Rajasthan

This examination study gives a survey and investigation of the improvement of administrative instruments rules, proposals, rules, and so forth to ensure security and related interests of Women in the internet. These instruments structure a field of law and strategy that has accomplished extensive development, spread and regularizing significance throughout the long term. The familiarity with the people in regards to the law and strategy in this worry is the superb goal and which will mirror the situation with India. Allen compassing the administrative field is an enormous assemblage of scholarly editorial dissecting protection issues in the internet from an assortment of viewpoints. This paper presents a prescient examination of digital wrongdoings against Women in India and laws that forestall digital exploitation as a rule and Women in particularly. Digital wrongdoing is comprehensively used to depict the exercises in which PCs or organizations are a device, an objective, or a spot for crime. Headway in innovation has prompted a precarious expansion in digital wrongdoings and exploitation of Women in the digital world. India is among the not many nations to authorize Information Technology (IT) Act 2000 to check digital wrongdoings. The universe of web gives each client all the necessary data quickest correspondence and sharing device making it the most important wellspring of data. With the various headway of web, the wrongdoing utilizing web has additionally extended its underlying foundations every which way. The cybercrimes represent an incredible danger to people. Digital wrongdoing is a worldwide marvel and Women are the easy objectives of this new type of wrongdoing. In this paper we investigate the digital wrongdoings and the online security weaknesses against Women. Digital wrongdoing is arising as a test for public and financial security.
Internal Development And Self-Improvement Of A Teacher As A Necessary Component Of His Professional Skills

The article examines the features of the internal development and self-improvement of the teacher, acting as a necessary component of his professional skills. Special attention is paid to the pedagogical tact that underlies the work of any teacher. It is this quality, first, that determines the degree of possibility of establishing the necessary contacts when communicating with students and colleagues, since trust in the teacher and respect for his personality is impossible without the organization of participation and mutual understanding. Especially important in this context is the teacher's ability to solve complex pedagogical tasks, in the process of which it is often necessary to act intuitively. The teacher's intuition also has a certain special character, since it should be based on the professionalism of the teacher, on th e peculiarities of his personality, which is capable not only of finding and implementing the optimal solution to controversial situations, but also of reflection, which allows you to predict the consequences of such a decision and their impact on the students and trainees Accordingly, the internal development and self-improvement of a teacher should be a continuous process aimed at a constant pedagogical search for internal reserves within the framework of solving pedagogical tasks and optimizing communication in the pedagogical process, taking into account pedagogical intuition.
PEMBERIAN LAYANAN PRIORITAS DI RUMAH SAKIT BAGI PENYANDANG DISABILITAS MELALUI SiAPDi

The presence of a hospital information system as a public facility must be as friendly as possible for patients. Patients can easily access the services provided by the hospital. Unfortunately, not all patients can easily access the service. Patients with disabilities often do not get priority when registering at the hospital. Although it has been delivered and given facilities for it, there are still people who use them unwisely. FTI UKDW, in collaboration with Panti Waluyo Purworejo Hospital, built a mobile-based priority queuing system called SiAPDi (Disability Priority Queue System). This system will help patients with disabilities have direct access to check registrations. Patients with disabilities can go directly to the clinic through this system without the need to pass the registration queue. The stage of making this system is divided into two, namely the first stage of making and adjusting the program, and the second stage of application testing. The program adjustment phase is done remotely because of the covid19 outbreak, and testing on users is also done remotely assisted by hospital staff. In using the application, users only need to choose a doctor, check date, and practice session to examine a hospital polyclinic.
Empirical research on science teaching based on modeling:taking chemical atomic structure for example

为提升中学生的科学建模能力,研究采用前、后测控制组设计的准实验法,以台湾省高雄市某高中一年级的学生为对象,原子结构的内容为例,从模型描述、模型应用、模型调度3个维度,探究基于类比的三阶段建模教学策略与传统的类比教学策略对学生建模能力培养的影响.结果发现:传统的类比教学和基于类比的三阶段建模教学都能有效提升学生的科学建模能力,但后者对模型描述等低阶建模能力的提升效果更加显著,二者对整体建模能力的提升差距还有待论证.研究为中学生科学建模能力的培养提供实证方法的参考.