Reviewerly/exHarmony huggingface dataset:
THE PECULIARITIES OF THE MAIN ORE-FORMING COMPONENTS DISTRIBUTION IN THE FILIZCHAY FIELD OF THE SOUTHERN SLOPE OF THE GREATER CAUCASUS

The article has been devoted to the distribution of the main ore-forming components in Filizchay field of the southern slope of the Greater Caucasus. 3D model of the mineral elements of Filizchay field has been using "Leapfrog GEO" program. Analysis of the isothicknesses map clearly shows that the eastern flank of the deeper, shallow dipping part of the deposit is characterized by the greatest thickness where its thickness exceeds practically universally average value of this parameter according to the field. It has been found that zinc and lead distributions repeat practically each other. The western half of the body differs sharply from the eastern half by stable high (more than average value) contents. The overwhelming majority of zinc concentrations minimums and nearly all lead minimums are located in the eastern half which is generally characterized by the contents being below average. According to the copper concentrations distribution the deposit is very clearly divided into two parts – the southeastern part being thicker and richer and the northwestern part being relatively less thick and with contents being below average according to the field. The comparison of silver and lead isocontents' maps indicates a close relationship of both elements as evidenced by the very similar nature of their spatial distribution within the deposit. As well as for lead one can be generally distinguish two halves in it that are generally differed from each other in the intensity of the silver mineralization – the northwestern being richer and the southeastern being relatively poorer. The boundary between these parts repeats mainly the boundary determined for lead not only according to the spatial position but also according to the main details of the outline. All the maxima of the silver mineralization are located in the northwestern half of the field, the most of which are located on the upper horizons. According to the intensity degree of the zinc, lead and silver mineralization manifestation in the deposit, two parts can be distinguished: the western one is richer where almost all maxima are concentrated and the eastern one is poorer which accounts for the most of the minima. The boundary between them passes approximately in the middle part of the body from the upper to the lower horizons; it nearly coincides with the direction of its fall and it is distinguished by complex outlines. The frequent isolines repeatability of the zinc and lead contents, the close spatial position of their maxima centers suggest a close positive correlation between them.
Neural Networks and Music Synthesis using Sound Data Sets

This article proposes a comparative study between two topological structures of Neural Networks – Recursive Neural Networks (RNN) and WaveNet – applied to sound synthesis and analysis of sound datasets. Based on these two specific systems, the state of the art of these technologies in the field of contemporary sound creation was evaluated so that it could be possible to identify technical limitations and aesthetic possibilities for applying these systems in musical contexts. The relevance of the research in implementing these models in the field of sound creation and the Brazilian context focuses on the critical study of the adequacy of machine learning techniques in synthesis and the aesthetic implications of this technology in composition practices. At the current research stage, we conclude that the application of these synthesis methods falls short of professional use since the sounds produced have a high noise index, have low resolution and hardly maintain compositional coherence over the time of the samples. We also emphasize that implementing these systems in the Brazilian context is problematic, as developing these models requires access to costly high-performance computational resources. Hence, we have identified that a possible alternative to this problem of access to adequate infrastructure is the subscription to processing services via the cloud – we emphasize, however, that they are part of a monopoly of technology companies located exclusively in the Global North.
Web 2.0 Tools in Documentation and Information Center: Knowledge Management Model

This paper aims to examine concepts of Web 2.0, knowledge management, information management, enterprise portals, Information and Documentation Centre, Virtual Library, and social networking. The methodology used is the systemic literature review. Briefly it narrates the emergency of KM tools and features to its deployment. Relates how knowledge management can help institutions and enterprises in terms of organizing their information and its importance in decision taking. It describes the advancement of Web 2.0 and the ease it brings to society. As results it presents that there are no more borders between people, that everyone can share, discuss, and generate knowledge through the tools that innovative technologies offer.
Developing of Literacy Skills in Writing Stories for Elementary School by Using Big Book

The aim of this study is to describe the process and the result of developing literacy skills in writing stories for Elementary School by Using Big Book. This study uses research and development research methods. The steps taken from the ADDIE development model were used in this research's research model for the development of teaching and learning media, which included five stages, namely (analysis), (design), (development), (implementation), and (evaluation). The subjects of the preliminary field test were grades 4, 5, and 6 using the random sampling method. The research data was obtained through the interview technique which was conducted after the observation process of classroom learning within a period of 3 months of classroom learning. The data was collected by observation, interviews, product validation, and questionnaires. The results of this study resulted in a Big Book-based thematic textbook product with the TPACK model that has been tested and validated by experts. The average results starting from the assessment of the feasibility of big book textbooks by material testing, feasibility of textbooks by media experts, feasibility of big book textbooks by classroom teachers, feasibility of big book textbooks by small group testing, and feasibility of big book textbooks by testing field obtained an average of 4.35. It means that the big book is very suitable to be used as a teaching medium in literacy learning for students of Wildan Mukholladun.
Coupled synergistic development of the sports industry and urban park ecological environment

The quality of sports and leisure has received the attention of local sports departments. The construction of sports parks has become a new hot spot to enhance the image of the city and develop sports. Therefore, this paper studies the coupled and synergistic development of the sports industry and urban park ecology. First, the current situation of urban sports parks in China is analyzed. Then the affiliation numerical method was introduced into the evaluation of park ecology. Finally, we calculate the acquisition index and evaluation and use it to analyze the ecological and environmental effects of plant communities. The results showed that in Manduhai Park, Hohhot, the temperature change of plant communities first rose and then slowly decreased, with the highest temperature at 4 pm and the lowest at 8 pm, and the cooling rate was 3.34%~5.05%. The relative humidity was highest at 8:00 a.m. and lowest at 4:00 p.m., with a humidification rate of 1.82% to 12.18%. Wind speed is the highest at 12:00 noon and the lowest in the morning and evening; the human body feels the best comfort in the morning at 8:00, and feels uncomfortable around 12:00 and 16:00, with a variation range of 71.77±2.73 to 73.19±2.54; the research found that 42% of the visitors chose leisure and sports activities; followed by 39% for entertainment and games, and 12% for cultural activities again. Thirty-one percent of the visitors were satisfied with the leisure and sports facilities, 31% thought they were average, 28% reached only basic satisfaction, and 10% were not satisfied with the leisure and sports facilities.
Campus Connect: An Online Learning Platform

Abstract: Through this project, we aim to solve the problem that has arisen due to the pandemic - how can traditional methods of learning be integrated with e-learning? We are driven to create an application that seamlessly merges the two methods that the education system currently relies on, allowing both students and teachers to benefit. Students using this app will be able to access their attendance records, course status, test performances, and online study resources. Teachers will be provided with an interface through which they can upload attendance records, provide recorded lectures or notes, and interact with students to solve their doubts. They can also communicate with parents to address any concerns they may have regarding their child. Additionally, teachers will be allowed to share notices on the app, which will notify students and allow them to schedule tests. Parents using this application can track their ward's performance.
Psychodynamic approaches to leadership

This chapter addresses the psychodynamic approach to leadership, which is centred on understanding personality and the psychological make-up of both the leader and followers. The argument being presented is that by understanding more about one’s own personality as the leader, and that of one's followers, one can make more informed decisions about how one's behaviour may, or may not, influence a given group of individuals. Part of this approach is helping followers to understand their own personality profile, their own motivation, wants, and needs, so that they can respond to these needs and those of their colleagues. Ultimately, this approach seeks to direct the leader towards understanding their own preferred method of operating, how others operate, and how to take advantage of these various combinations. The chapter then looks at the Myers-Briggs type indicator and neuro-linguistic programming.
Mapping across Standards to Calculate the MIDS Level of Digitisation of Natural Science Collections

The Minimum Information about a Digital Specimen (MIDS) standard is being developed within Biodiversity Information Standards (TDWG) to provide a framework for organisations, communities and infrastructures to define, measure, monitor and prioritise the digitisation of specimen data to achieve increased accessibility and scientific use. MIDS levels indicate different levels of completeness in digitisation and range from Level 0: not yet meeting minimal required information needs for scientific use to Level 3: fulfilling the requirements for Digital Extended Specimens (Hardisty et al. 2022) by inclusion of persistent identifiers (PIDs) that connect the specimen with derived and related data. MIDS Levels 0–2 are generic for all specimens. From MIDS Level 2 onwards we make a distinction between biological, geological and palaeontological specimens. While MIDS represents a minimum specification, defining and publishing more extensive sets of information elements (extensions) is readily feasible and explicitly recommended. The MIDS level of a digital specimen can be calculated based on the availability of certain information elements. The MIDS standard applies to published data. The ability to map from, to and between TDWG standards is key to being able to measure the MIDS level of the digitised specimen(s). Each MIDS term is being mapped across TDWG standards involving Darwin Core (DwC), the Access to Biological Collections Data (ABCD) Schema and Latimer Core (LtC, Woodburn et al. 2022), using mapping properties provided by the Simple Knowledge Organization System (SKOS) ontology. In this presentation, we will show selected case studies that demonstrate the implementation of the MIDS standard supplemented by MIDS mappings to ABCD, to LtC, and to the Distributed System of Scientific Collections' (DISSCo) Open Digital Specimen specification. The studies show the mapping exercise in practice, with the aim of enabling fully automated and accurate calculations. To provide a reliable indicator for the level of digitisation completeness, it is important that calculations are done consistently in all implementations.
Methods to control disclosure risk of synthetic data created by National Statistics Agencies

ObjectivesWith the recent explosion of interest in using synthetic data (SD) for disclosure control many NSAs are releasing, or considering releasing. synthetic versions of their administrative data. This presentation will review the methods that NSAs can use to limit the disclosure risk of any planned release of synthetic data. MethodsThis paper will review the ways in which methods of creating can be adapted to control the disclosure risk that could arise by the release of such data either to trusted researchers or to a wider group. Methods that will be evaluated will include: The use of Statistical Disclosure Control (SDC) methods on the synthetic data before its release Selecting methods producing low fidelity synthetic data Adapting the synthesis method until it satisfies measures of disclosure risk Incoporating differential privacy (DP) into the method of creating synthetic data ResultsNSAs can use different methods to create SD based on real data (RD); see e.g. https://unece.org/info/publications/pub/373531. Tthe disclosure risk of SD depends on the context of its release, to whom, in what environment etc. Even if the planned method of release ensures low disclosure risk, NSAs will want to know what the disclosure risk might be if the SD got into the wrong hands. The SD can reveal that an identified person is in the RD (identity disclosure) or can disclose information about other measures for an individual that are part of the RD. Measures of identity disclosure and attribute disclosure are described. Results will be presented on the disclosure risk of examples of SD created for real examples by the methods 1 to 4. ConclusionEach of the methods 1 to 4 have strengths and weaknesses. Methods 2 and 4 will be ruled out for many applications because of poor fidelity to the RD. A practical way forward is suggested by combining methods 1 and 3.
Hamiltonian simulation in the Pauli basis of multi-qubit clusters for condensed matter physics

We propose an efficient method for Hamiltonian simulation of multi-qubit quantum systems with special types of interaction. In our approach, the Hamiltonian of a \(n\)-qubit system should be represented as a linear combination of the standard Pauli basis operators, and then decomposed into a sum of partial Hamiltonians, which are, in general, not Pauli operators and satisfy some anticommutation relations. For three types of Hamiltonians, which are invariant with respect to permutations of qubits, the effectiveness of the main algorithm in the three-qubit cluster model is shown by calculating the operator exponentials for these Hamiltonians in an explicit analytical form. We also calculate the density operator, partition function, entropy, and free energy of the cluster weakly coupled to a thermal environment. In our model, the cluster is in the Gibbs state in the temperature interval \(0.1\!-\!2\:\!\text{K}\), which corresponds to the operating range of modern quantum processors. It follows from our analysis that the thermodynamic properties of such systems strongly depend on the type of internal interaction of qubits in the cluster.
New Data Novelty Check and Distributed Learning for IoT Data Anomaly Detection

The Internet of things (IoT) is set to fundamentally change our daily lives with massive numbers of connected devices, generating large volumes of data every second. Data acquisition and data correctness verification for different processes have become of increasing concern. IoT data anomaly detection performance relies on accuracy and response time and both can be enhanced with a distributed learning and adaptive “online” update of the model. Retraining the model only when the distribution of the new collected data differs from the distribution of the data used to learn the model greatly streamlines the computational resources of the distributed learning infrastructure. It also improves learning data accuracy as the model is updated regularly rather than waiting for the retraining period, which is usually a fixed value and is set up manually. It’s a well-established fact that a machine learning model accurately predicts if the distribution of new data, on which predictions are made, is similar to the distribution of the model training data. However, over time, the new data retrieved may hold additional information that was not initially identified by the model when it was trained. Therefore, model deployment should not be a one-time exercise, but rather a continuous process. In this article, we propose a scalable, robust, and sustainable IoT data anomaly detection framework based on distributed learning and an efficient online model update. First, we investigate the distributed learning of different anomaly detection models, namely RNN, LSTM, and k-means clustering. These models are trained for anomaly detection tasks on two different IoT data use cases: ECG sensor data for the health industry and connected cars for the automotive industry. Then, we study the significance of identifying new data at an early stage to determine when to retrain the model for the purpose of improving anomaly detection accuracy. The research thus focuses on the ideal moment to retrain a model based on the data novelty detection in order to establish an efficient automated retraining module.
A critical review of current health challenges

In times of pandemic caused by COVID-19, health has gained even greater prominence about its importance for human life. In this sense, it is valuable to understand what are the main challenges, because, as mentioned, the pandemic and its effects have brought visibility as to the precarious aspect of health in different parts of the world. In Brazil, for example, hospital units did not have the basic equipment needed to face the crisis. Therefore, this article aims to present considerations about contemporary challenges in society. The methodology used is qualitative research, with data collection through bibliographic review.
Kegunaan Sistem Informasi Kementrian Sekretariat Negara

One area where improvement cannot be halted is technology. Every new technology has the potential to alter how businesses operate and how people live. Utilizing technology is essential for a business to endure and prosper. A management information system has a significant influence and is crucial to management when it is utilized to operate a ministry or agency. Basically, the development inside the Ministry of State Secretariat becomes heavily dependent on the information system. As a result, the goal of this study is to evaluate the information system's use inside the ministry of state secretariat. Researchers' strategy involves speaking with employees of the Ministry of State Secretariat. The findings demonstrate that the Ministry of State's information systems' usefulness has an effect on how well the government performs. The ministry of state secretariat uses hardware, including servers, storage, switches, routers, access points, and virus detection systems, as well as software that is centered on the website, www.sektneg.go.id, to secure data. Systems for managing information play a part in making it simple to take the right action.
Pelayanan Perpustakaan Keliling Dinas Perpustakaan dan Kearsipan Kota Pekanbaru

This study aims to determine the inhibiting factors for library service of Pekanbaru City Library and Archives Service employees in carrying out mobile library services. The problems in this study are The lack of a mobile library car fleet so that access to library services is not evenly distributed to all levels of Pekanbaru City society, and also the lack of a number of officers who provide services and officers who have skills and abilities, officers have not been able to think and act innovatively. so that people are less interested in using mobile library services, Limited supporting facilities such as collections of books, tables, and chairs so that it does not provide comfort for people who visit to read books. This research uses descriptive quantitative method. Data obtained through observation, questionnaires, interviews, and documentation. Based on the results of the study, it can be concluded that the library service of Library and Archive Service Employees in Mobile Library Services has not been maximized or good enough. The cause are facilities and infrastructure, human resources who have very minimal skills and abilities, employees or officers are less consistent in carrying out their duties. The suggestions are 1. Increase the fleet, books, tables and chairs so that the purpose of the mobile library service program is to improve the reading culture of the community can be achieved effectively and efficiently, 2. Recruit employees who have a background in library science so that these human resources can provide better services optimally
Personnel management information system in order to create up-to-date and integrated personel data and information in the personnel and human resources agency in malaka regency

Purpose: This study discusses the personnel management information system in order to create up to date and integrated personnel data and information in the Personnel and Human Resources Development Agency in Malaka Regency. Research Methodology: This research uses a qualitative approach. Data collection methods for this research will be conducted by means of interviews, observation and document searches. The data analysis technique in this study is based on the theory of Miles and Huberman. Results: In the application of the human resources management information system in order to create up-to-date and integrated personel data and information in the Personel and Human Resources Development Agency of Malaka Regency, both input and process are still not good. In addition, there are inhibiting factors for the application of the personnel information system. Limitations: Researchers find it difficult to make more detailed observations so that they cannot display more related data and information. Contribution: This research can be a scientific basis for evaluating the application of the personnel information system at the Personel and Human Resources Development Agency of Malaka Regency. In addition, this research can be scientific information for students of Public Administration Science.
KESANTUNAN BERBAHASA ANTARA GURU DAN SISWA DALAM PROSES PEMBELAJARAN DI SMP NEGERI 1 KOTA TERNATE

The purpose of this study was to identify the types of impolite utterances uttered by teachers and students in the learning process and to identify the types of politeness maxims that were violated by teachers and students in the learning process at SMP Negeri 1 Kota Ternate, and using politeness scale approach to determine the types of polite speech. The method used in this research is descriptive qualitative method. This study uses three data collection techniques, namely; 1) technique of observation (observation). 2) the technique of observing and taking notes. 3) technique of recording (record). The research results show that; six (6) politeness maxims conveyed by Leech, all maxims are violated by teachers and students in the learning process in class. The maxim that is often flouted is the maxim of modesty/simplicity and the least flouted is the maxim of conformity/agreement. Violations of politeness maxims are more frequently violated by teachers than by students. All violations of these maxims are carried out in the learning process in class. The politeness scale is a measure to determine the level of politeness in a speech. The politeness scale is used as a measure of politeness in a speech adapted to the context of the speech itself.