Reviewerly/exHarmony huggingface dataset:
DELINEATION OF AIRBORNE MAGNETIC AND RADIOMETRIC STRUCTURES ASSOCIATED WITH GOLD MINERALIZATION OF MINNA AND ITS ENVIRONS, NORTHCENTRAL NIGERIA

This study utilized the interpretation of the airborne magnetic and radiometric data to delineate the potential structures that are associated with gold mineralization of the Minna and its environs, Northcentral Nigeria. The total field anomaly data was reduced to pole and upward continued in a bid to well positioned and enhanced the shallow (high pass) magnetic structures. The high pass structural lineaments were extracted and the resulting prominent E-W and NE-SW tectonic trends were revealed which are perhaps related to Eburnean (D1) and Pan-African (D2) deformation events respectively. Subsequently, numerous regions with relatively high degree of faulting and shearing effects were unraveled from the line density analysis of the high pass lineaments. The 3-D Euler deconvolution technique provides a synonymous trend pattern with the HP lineaments as well as estimate the depth extents to the potential structures with values varying between 82.7 and 211.9 m. It was found that the mineralized structures associated with gold over the study area interact with the hydrothermal fluids alongside/adjacent to the structurally deformed (relatively high degree of faulting and shearing effects) regions. The observed regions with coincident, of the hydrothermally altered and structurally deformed are therefore marked as the resourceful, structures for gold mineralization. Hence, the derived evidence from this study has updated the information on the structures that are associated with gold mineralization and also acts a mitigation major against the indiscriminate excavations of the studied region.
Innovative Educational Process at School as a Multidimensional Phenomenon

Questions are raised about the connection and interdependence of the phenomena of multidimensionality, cross-dimensionality and multi-mediumship in the innovative educational process of a modern school. The relevance and directions of application of the principle of multidimensionality in the management of the school and the educational process, the mechanisms of evaluation and management of the quality of the educational process, the quality of teacher activity, the quality of educational results are discussed. The possibilities and potential of the implementation of this principle are revealed in relation to the management of professional and personal development of a teacher, the formation and use of a model of education of a student, a school graduate. Particular importance in the article is given to the issues of multidimensional representation of educational results and effects of the educational process, the representation of the education of the student and the graduate of the school from the standpoint of not only the normatively established system of subject, meta-subject and personal results, three key components of functional literacy (mathematical, reading, natural science), but also the so-called skills of the XXI century, soft skills, cross-cutting competencies. A separate place is given to the disclosure of the concept of &amp;quot;cross-cutting competencies&amp;quot;, the presentation of the author&amp;apos;s classification of cross-cutting competencies.
Management and Evaluation of the Quality of School Education: the Evolution of Systems

The article raises questions of the quality of education and its importance in terms of global competition. A number of contradictions are formulated in the development of systems for managing and evaluating the quality of school education. From the standpoint of the priority of quality, building a multi-level all-Russian system for ensuring the quality of education, the main milestones in the development of school education in Russia in the first quarter of the 21st century are discussed. The problem of the evolution of systems for managing and evaluating the quality of school education is actualized, methodological issues of developing and improving intra-school systems for assessing the quality of education are raised. The results of the analysis of the evolution of systems for assessing and ensuring the quality of education in the Russian Federation, the effectiveness of innovations in this area over a ten-year period after the adoption of the Federal Law &amp;quot;On Education in the Russian Federation&amp;quot; are presented. A number of properties have been identified that in a generalized form reflect the state of internal systems for assessing the quality of education that currently exist in Russian schools. In terms of international quality standards ISO 9000 series, the correlation and content of the concepts &amp;quot;internal education quality assessment system&amp;quot;, &amp;quot;intra-school education quality assurance system&amp;quot;, &amp;quot;intra-school control system&amp;quot; are discussed. Based on the results of theoretical studies, a number of generalizing conclusions are presented related to the problems of the evolution of management systems and the assessment of the quality of school education. The achievements of Russian schools in terms of building and applying internal systems for assessing the quality of education are recorded and discussed.
Photonic Integrated Circuit Phased Array XY/Ising Model Solver

We present an on-chip silicon photonic optical phased array as a compact and high-speed application-specific integrated circuit processor for solving all-to-all coupled XY/Ising model Hamiltonians.
Research on Hot Spot Mining Technology for Network Public Opinion

The research on network public opinion has attracted more and more attention. To accurately find the hot spots in online public opinion data and analyze their heat, this paper studies the hot spot mining work of Weibo public opinion data. Considering the defects of the traditional K-means++ clustering algorithm in the initial point optimization, the Word2Vec model proposes a hot spot discovery improvement algorithm for the network public opinion data WPK-means++ (Word to vector Penalty factor K-means++). The algorithm introduces the penalty factor to make up for the problem that K-means++ is applied to the scattered text data of hot topics that are affected by outlier points, reduces the invalid coverage of the initial clustering center of the text clustering algorithm, and verifies the accuracy and efficiency of the final clustering results through the analysis of comparative experiments. The original dataset is preprocessed using Chinese word segmentation and removal of stopping words, and the text modeling of the preprocessed result set is carried out by a word embedding model. Finally, the Weibo public opinion data set was used as the corpus.
Ontology-Based Combat Force Modeling and Its Intelligent Planning Using Genetic Algorithm

Modern warfare is under high-tech conditions, and joint operations of various services and arms have become the main combat form. It is necessary to make full use of the existing weapons and equipment of multiple services and arms, and display the overall combat effectiveness of the global joint force through mixed clusters. The effectively modeling of combat forces and intelligent planning by the task are core problems. In this paper, we proposed to use ontology technology to model the combat force, which defining the basic entity attributes, force relationships, and behaviors capabilities of combat forces from multiple dimensions. Then, the combat tasks framework is modeled by the vector and presented, thus the task oriented combat force planning is transferred into an optimization problems. On this basis, the genetic algorithm is proposed to get the “demand-capability” mapping matrix, which can quickly return the recommended combat force by different task.
Sentiment Based Product Recommendation System for E-Commerce Using Machine Learning Approaches

Today, e-commerce is a thriving industry. We do not need to approach every customer to accept their orders here. A business creates a website to offer things to clients, who can then purchase the stuff they need within the same website. These e-commerce firms include well-known ones like Amazon, Shopify, Myntra, Flipkart, and Ajio. To create a product recommendation system for the end customers, we will be using the data set of e-commerce product reviews in this final project. A sentiment analysis model will be used to enhance the suggestions. Under this final project, we will develop a sentiment analysis engine utilising a variety of machine learning approaches before selecting the model that produces the best results.
Web Susceptibility findings by Machine Learning in the Case of Cross-web Request Falsification

In this article, we have a tendency to propose a strategy to leverage Machine Learning (ML) for the detection of net application vulnerabilities. net applications area unit significantly difficult to analyse, thanks to their diversity and also the widespread adoption of custom programming practices. Millilitre is so terribly useful for net application security: it will benefit of manually tagged information to bring the human understanding of the net application linguistics into automatic analysis tools. we have a tendency to use our methodology within the style of Mitch, the primary millilitre answer for the black-box detection of Cross-Site Request Falsification(CSRF) vulnerabilities. Mitch allowed U.S.A. to spot thirty five new CSRFs on twenty major websites and three new CSRFs on production package.
Calculation of the Global Solar Radiation in a Subtropical Region (Qena, Egypt)

Air temperature (T, °C), relative humidity (RH, %), and global solar radiation (G, MJ.m-2 ) have been measured in the meteorological station at South Valley University (SVU) at Qena, Egypt, from 2000 to 2013, while the total column ozone (TCO, DU) is downloaded from Giovanni's website. T, RH, and TCO are important meteorological parameters, and they are useful to estimate the missing data of the global solar radiation (G), as global solar radiation is desirable for electricity generation applications and for agriculture. Qena is a subtropical region in Upper Egypt, as it's characterized by clear weather most days of the year, and it's very hot in the summer and cold in the winter. The meteorological station at South Valley University (SVU) stopped measuring the G. The linear regression equation and the most important statistical indices are used in this paper such as, the determination coefficient (R2 ), the mean absolute error (MAE), the mean absolute bias error (MABE), the mean square error (MSE), the root mean square error (RMSE), the mean percentage error (MPE), the mean bias error (MBE), the model efficiency (ME), and the agreement index (d). For verification of the empirical models' efficiency, the data of a new period has used, 2013, and the results of the models were excellent and valid for estimating the missing data, as R2 was more than 0.92 in all models but it was near one in models 1 and 4. MAE was close to zero for all models. MBE, MPE, and MABE were close to zero for all models except model 3. Model 1 was the best one, as, R2 , MAE, MABE, MSE, RMSE, MAPE, d, ME, and MPE were 0.9883, 0.0193, 0.383, 0.2303, 0.4799, 1.927, 0.9979, 0.992, and 0.2932, respectively
Generation of highly-pure single-photon states at telecommunication wavelength

We generate highly-pure single-photon states at the telecommunication wave-length with the best record of the minimum Wigner negativity, paving the way toward the integration of universal quantum computers and constructing quantum networks.
Tesla's Decisions on Bitcoin and Eco-Friendly Mining Cryptocurrency in Clean Energy Regime

The trend of cryptocurrency mining was increasing electrical energy consumption in the world which had an impact on the environment.Tesla, a United States automotive company, had policies that affect the dynamics of cryptocurrency exchange rates.This study aims to analyze Tesla's reasons for not accepting Bitcoin payment and consider using ecofriendly cryptocurrencies.The Green Theory approach is used to describe the company's decision-making process that the Bitcoin mining process has increased the use of fossil fuels, especially coal for electricity needs, in the use of Bitcoin as a cryptocurrency.Awareness of this environmental impact will be seen in the process of emergence of discourse and communication in the public sphere that affect Tesla's awareness.The involvement of state governments in the world and the start of regulating the use of cryptocurrencies in the United States are also seen as actors involved in Green Theory.This research data was collected through statements of actors in the clean energy regime, research publications, news media and movements that appear on social media.The results of this study indicate that there are several reasons Tesla should stop transactions using Bitcoin; 1. Increased research publications that calculate the impact of Bitcoin mining activities contributing to increased gas emissions, 2. There is a Greenpeace campaign that voices that Bitcoin accelerates the climate crisis, 3. The rejoining of the United States in the Paris Agreement affected the clean energy industry policy which also promotes the use of renewable energy resources, so Tesla should also consider clean energy sources.The conclusion of this study showed that Tesla's awareness of the need to make it eco-friendly in the cryptocurrency mining process was an awareness that arose from the influence of the thoughts of various actors in the clean energy regime.This research contributes to the study of renewable energy considering that cryptocurrency has become an asset that has an impact on the environment.
Effect of Gaussian Schell Model Pulses on Squeezed State and Single Photon Subtracted Squeezed Vacuum State

This study investigates the effect of a partially temporally coherent pump on the nonclassical properties of squeezed vacuum and single-photon subtracted squeezed vacuum state, which could be useful for quantum communication, metrology, and sensing.
Spatial Profile and Polarization Entanglement in Partially Spatially Coherent Qubits

The experimentally observed spatial profile of partially spatially coherent polarization entangled qubit is reported, with the theoretical study for visibility in polarization entanglement test. This study would benefit free-space quantum communications and imaging.
Correction to: Generating Low-Code Applications from Enterprise Ontology

In an older version of this paper, there was error in the author’s Family Name. This has been corrected to “Op ’t Land”.
VALIDITAS MEDIA PEMBELAJARAN POWERPOINT INTERAKTIF DILENGKAPI CROSSWORD PUZZLE TENTANG MATERI JARINGAN TUMBUHAN UNTUK PESERTA DIDIK SMA

Innovation in PowerPoint media determines students' interest and motivation in learning. The lack of use of game elements makes students bored. To support interactive learning, games such as crossword puzzles are needed as evaluations in the media. This study is purpose to produce interactive PowerPoint learning equipped with a crossword puzzle about plant tissue material for high school students. The research subjects is an expert validator consisting of two Biology lecturers at UNP and one Biology teacher at Payakumbuh Senior High School 3. The research used is ADDIE development research. The research was conducted up to the development stage. The analysis phase uses instruments in the form of observation sheets and interviews for teachers and students. The design stage is the design of interactive powerpoint learning media. At the development stage, using an instrument in the form of a validation sheet addressed to expert validators and analyzed. The percentage results of the three expert validations show that interactive powerpoint media is 91.90% with a very valid category. so that interactive powerpoint learning media equipped with crossword puzzles that have been developed meet the criteria and can be used by students in learning biology.&#x0D; �
CRITICAL DISCOURSE ANALYSIS: UNCOVERING THE ATTRIBUTES OF POWER, IDEOLOGY, AND MANIPULATION FROM LECTURER’S TALK THROUGH PIMI MODEL

The Power, Ideology, Manipulation, (PIMI) model has been offered as one of the current tools under the Critical Discourse Analysis (CDA) approach that functions to analyze phenomena of discourse, and it has been developed with a focus on analyzing any and all problems that arise in the context of political discourse. Intriguingly, the creator of the PIMI model has advocated for further study of the method's applicability in academic settings. To that end, this study serves as a representation of research done in a classroom context, with the overarching goal of extracting the characteristics of power, ideology, and manipulation from the pragmatic discourse of a lecturer. One of the study's participants was an English as a Foreign Language professor at a private school in Surabaya. The research was conducted by observing a class on Management without participating in it. The findings show that, with minor tweaking, the instructor displayed all PIMI Model traits, including power, ideology, and manipulation. Additional research in the field of education is needed to fully flesh out the results of this study.
ESTIMATION OF GLOBAL SOLAR RADIATION USING SUNSHINE HOURS IN SOKOTO NIGERIA

Inadequate installations of materials such as solar water heater, solar still, solar dryer, and solar cooker etc. Which required solar radiation and maximally, in the area location of is a major problem and this hinders the abundant utilization of solar energy as it can be harnessed directly without any requirement of external energy such as electricity. It is the lack of the information that limits the number of installations in the study area. Therefore, it is compulsory to study and analyzed the solar radiation of our environment to get better view of monitoring the performance of solar energy conversion system in Sokoto State, so that companies and government should know what period or seasons can therefore utilize the abundant solar energy. A new model was developed for estimation the monthly average daily global solar radiation. In this research a modified angstrom model for estimation of global solar radiation in Sokoto, Nigeria using sunshine duration based on meteorological data were used. However, solar radiation estimates are too local since they rely on weather stations or have a resolution that is too satellites. In this work, a model was developed for estimation of global solar radiation on horizontal surface for Sokoto at latitude of m13 13.00E and longitude of 5.250N. Global solar radiation and maximum temperature data for Sokoto were used to fit the Angstrom model, Regression coefficient a, b, and c. 1.12, 0.65, and 0.32 respectively were obtained from the models base on sunshine duration respectively. In order to evaluate the results, three statistical methods have been used namely: mean bias, root mean square, and percentage errors of values -6.47, 6.47 and 41.20% respectively. It was found from statistical model’s performance indicators that the model provides reasonably high degree of precision in the estimation of average global solar radiation on horizontal surfaces.
Trustworthy Autonomous Systems (TAS): The Verifiability Approach

Autonomous systems are taking over the decision-making in many crucial aspects of our lives. Trust in them will help users benefit from such systems without harming themselves. Establishing the right level of trust involves a holistic validation and verification process, accounting for aspects such as interactions with the physical world and human users. In this talk, I present our ongoing effort to provide a holistic framework for ensuring the verifiability of autonomous systems.
Profile of the participants in a STEAM lecturer-training program based on competencies. Lessons for the future

This paper presents the results of a research study on the profile of the participants in a postgraduate lecturer training program (15 ECTS) based on competencies in a STEAM (Science, Technology, Engineering, Arts and Mathematics) University. The study research questions are: (1) "In which competences do the participants perceive a personal improvement during the programme?", and (2) "Can we identify a profile of the candidates most suited to take better advantage of the training?" . The study includes current participants and students who have completed the program in the last 5 years. A mixed research methodology was used including both quantitative and qualitative analysis. Data from the program alumni and current candidates have been quantitatively analysed to identify common personal and background features among them. Structured interviews and focus groups have been conducted to find out how their initial expectations matched with their perception of what was offered in the program. The qualitative interviews include a discussion about their experiences along the programme and their ambitions for their further professional development, and put in context with their specific background. This research has important implications for the future, such as the need for increased training in digital skills. The majority of the teachers surveyed have a positive impression of the training and are in the middle of their careers. However, because of the pressure to satisfy other Academia requirements, many potential applicants in their early career stages do not complete or even contemplate participating in the program.
Implementasi Aplikasi Pengaduan Masyarakat Berbasis Android Pada Gedung DPRD

Community complaints are an effort to form the community to contribute to the government's efforts to improve the quality of public services and improve the Cirebon Regency DPRD, the Democratic Party faction in responding to public complaints. Communities who will be able to assist the government in providing information about the quality of services and problems that exist in the environment or their place of residence through government agencies to be followed up immediately. Community complaints in the Cirebon Regency DPRD The Democratic Party faction currently still uses manual recording and still uses WhatsApp messages so that data is not accommodated properly so that complaints that should not be lost and are very helpful both from the community or from the Cirebon Democratic Regency DPRD. So in this final study, we will build an Android mobile-based public complaint application, in the Cirebon Regency DPRD the Democratic Party Fraction and public complaints can be integrated directly to the agencies related to complaints in the community. Public complaints are expected to provide convenience for the government and relevant agencies in providing responses, responses and handling complaints more easily
Model Klasifikasi Analisis Kepuasan Pengguna Perpustakaan Online Menggunakan K-Means dan Decission Tree

Riyadlul Muta'allimin Elementary School Library is one of the support units in the school's academic activities. During times like these, students are very difficult in accessing the library in school. Therefore, the school applies an Online Library, so those students and teachers who can access the library do not need to flock to school. Online libraries that have been implemented need to do an evaluation of user satisfaction because this is a new thing for Riyadlul Muta'allimin Elementary School. Satisfaction analysis can be done by the K-Means method with a decision tree. K-Means is used to group data that will be converted into labels. It is further classified using a decision tree. Based on the analysis, the prediction of cluster 1 with true cluster 1 of 48 items, true cluster 0 and true cluster 0 there are no items, then the class precision is 100%