Reviewerly/exHarmony huggingface dataset:
ABOUT THE METHOD OF LEARNING TO SOLVE EQUATIONS AND THEIR SYSTEMS USING THE GEOGEBRA COMPUTER PROGRAM

This article offers a method for teaching the solution of equations and their systems using the GeoGebra computer program. Namely, the graphical solution of equations not only in the classical case when the equations or their systems have one or more solutions, but also when they do not have a solution. Clearly showing the solutions of these examples of systems of equations, we can talk about a higher assimilation of educational material by students. It will also allow you to optimize the learning process, more efficiently using time at different stages of the lesson; to implement a differentiated approach to learning; conduct individual work using personal computers; reduce emotional stress in the lesson, introducing an element of play; expand the horizons of students; contributes to the development of cognitive activity of students.
Development of a Hybrid Deep-Learning Model for the Human Activity Recognition based on the Wristband Accelerometer Signals

This study aims to develop a human activity recognition (HAR) system as a Deep-Learning (DL) classification model, distinguishing various human activities. We solely rely on the signals from a wristband accelerometer worn by a person for the user''s convenience. 3-axis sequential acceleration signal data are gathered within a predefined time-window-slice, and they are used as input to the classification system. We are particularly interested in developing a Deep-Learning model that can outperform conventional machine learning classification performance. A total of 13 activities based on the laboratory experiments'' data are used for the initial performance comparison. We have improved classification performance using the Convolutional Neural Network (CNN) combined with an auto-encoder feature reduction and parameter tuning. With various publically available HAR datasets, we could also achieve significant improvement in HAR classification. Our CNN model is also compared against Recurrent-Neural-Network(RNN) with Long Short-Term Memory(LSTM) to demonstrate its superiority. Noticeably, our model could distinguish both general activities and near-identical activities such as sitting down on the chair and floor, with almost perfect classification accuracy.
Raman spectroscopy for petrology : recent scientific milestones, technological trends and challenges

&amp;lt;p&amp;gt;Over the last two decades, Raman microspectroscopy has known a spectacular development in various research fields of petrology opening new avenues for studies in sedimentology, metamorphism or magmatism and cosmochemistry. This has been made possible thanks to major technological improvements (e.g., Raman hyperspectral mapping) and a better theoretical approach (e.g., data processing and interpretation). Raman spectra are actually sensitive to even minor (chemical or structural) perturbations within chemical bonds in (even amorphous) solids, liquids, and gases. They can, thus, help identify, characterize, and differentiate between individual minerals, fluid inclusions, glasses, carbonaceous materials, solid solution phases, strain in minerals, and dissolved species in multi-component solutions. Such sensitivity and versatility make Raman a unique tool for petrology. Yet, it relies on a weak and subtle signal and a cautious approach is required to avoid pitfalls during the analysis and/or the interpretation of data. Some recent scientific milestones will be presented and discussed in various fields like geothermobarometry of metamorphic rocks, geochemistry of meteorites, speciation of deep fluids involved in fluid-rock interactions or the characterization of organic/mineral assemblages of astrobiological interest. For the particular c&amp;amp;#160;&amp;amp;#160;&amp;amp;#160;&amp;amp;#160;&amp;amp;#160;&amp;amp;#160; ase of petrology, Raman microspectroscopy has the immense advantage that it requires minimal sample preparation, thus it can be performed in situ preserving the original microtexture of the sample with a rather high spatial resolution for analysis, typically 1 mm at 532 nm for modern systems. Therefore, this technique is now increasingly used to study poorly crystalline and chemically heterogeneous materials involved for instance in geochemical processes occuring at Earth surface. But it faces numerous challenges due to the reactivity of such phases making them fragile under the laser beam, or due to the quasi-systematic presence of intense backgrounds in the spectra overwhelming the Raman signal. The source of this background can be multiple as it can be observed with fine-grained samples and/or it can be generated by the presence of luminescence/fluorescence emission&amp;amp;#160;centers. More generally such background is not well understood although it is a major issue for Raman spectroscopy in many petrological applications. However, there too, recent technological developments, sometimes based on old ideas, offer new possibilities to investigate safely and accurately such materials&amp;amp;#160;: time-resolved spectroscopy and surface-enhanced Raman spectroscopy (SERS) will be presented as well as some applications for petrology of complex samples.&amp;lt;/p&amp;gt;
Learning Adjustment Sets from Observational and Limited Experimental Data.

Estimating causal effects from observational data is not always possible due to confounding. Identifying a set of appropriate covariates (adjustment set) and adjusting for their influence can remove confounding bias; however, such a set is typically not identifiable from observational data alone. Experimental data do not have confounding bias, but are typically limited in sample size and can therefore yield imprecise estimates. Furthermore, experimental data often include a limited set of covariates, and therefore provide limited insight into the causal structure of the underlying system. In this work we introduce a method that combines large observational and limited experimental data to identify adjustment sets and improve the estimation of causal effects. The method identifies an adjustment set (if possible) by calculating the marginal likelihood for the experimental data given observationally-derived prior probabilities of potential adjustmen sets. In this way, the method can make inferences that are not possible using only the conditional dependencies and independencies in all the observational and experimental data. We show that the method successfully identifies adjustment sets and improves causal effect estimation in simulated data, and it can sometimes make additional inferences when compared to state-of-the-art methods for combining experimental and observational data.
Simple harmonic motion

Simple harmonic motion describes the oscillation of a tuning fork, pendulum, mass hanging from a spring, and many other systems. All of these oscillators are characterized by a restoring force F directly proportional to the displacement x from the rest position (F=−kx, where k is the spring or pendulum constant) and by a sinusoidal displacement versus time graph. The frequency of oscillation depends on both the constant k and the oscillating mass, but not on the amplitude of the oscillation. This is great because musical instruments can play more or less loudly, and the pitch of the tones they produce does not depend on the loudness. The frequency and the period do not change during the oscillation, whereas the position changes with time following a sinusoidal waveform, which is a key component of simple harmonic motion. Waveforms more complex than a single sine are possible, and they result from the sum of multiple sinusoidal waveforms of different frequencies. These are not simple harmonic, but still harmonic oscillations, and they include plucked guitar strings and hammered piano strings.
A Comprehensive And Reliable Technique For Identifying Various Security Activities And Incorporating In Sdlc

The agile product development methodology is a series of concepts used for the creation of applications. In the creation of agile applications, strategies evolve by cooperation of self-organizing, cross-functional teams using suitable methods for their context. This paper provides principles that should be implemented in the agile product creation phase. Approximately 500 agile app engineers across the globe have engaged in the study. A questionnaire pertaining to the different protection practices to be implemented during each process of agile software creation was demanded in the survey. Based on this analysis, we have carried out the most effective and useful compliance practices that can be implemented across the multiple phases of agile software development. 80% of agile developers voted for initial preparation, which is an essential protection practice to be implemented during the pre-requirement process. Similarly, 75 per cent said that protection criteria during the requirement process, 95 per cent opted for risk analysis during the design phase, 80 per cent said that coding guidelines during the development phase, 62 per cent said that they defined, conducted and enforced safety checks during the testing phase, and 77 per cent said that the final safety check during the release phase would be integrated during the various agile software phases. The proposed analysis overcomes the problems of agile design and protection by offering a simple overview of the security practices implemented throughout the multiple phases of software growth. We have bridge-in, a protection difference between the conventional paradigm of waterfalls and the in-practice agile model of growth.
International experiences in the evaluation of Computer Science programs focused on the curriculum and the teaching-learning process. Case study: Argentina, Spain and Mexico

This work aims to analyze how international accreditations are developed in the professional field of computing based on learning outcomes selected by academics and professionals from different countries in the field of computing. Methodology: The data used in this study have been obtained from the evaluations carried out by the National Agency for Quality Assessment and Accreditation (ANECA) in Spain, Argentina and Mexico between January 2014 and July 2020 and from those that are ongoing in the time of closing the article. Also, the information obtained in the meta evaluation carried out annually to the SIC Program has been analyzed. Results and conclusions: 26 universities have obtained the Euro-Inf label for their computer science degrees / educational programs in the period analyzed. Since 2020 the evaluation has been carried out virtually in its entirety, due to the pandemic caused by COVID-19.
Human rights in Sub Saharan Africa: Understanding the influence of militarization, governance and democracy

This study provides empirical evidence on the impact of militarization, governance, and democracy on human rights in sub-Saharan Africa (SSA) for the period 2002 to 2018. The study employed the instrumental variable Fixed Effects model to account for simultaneity/reverse causality, and unobservable heterogeneity as well as the instrumental variable quantile regression with Fixed Effects to account for existing levels of human rights in SSA. Based on the Fixed Effects results, it is revealed that militarization significantly increases human rights violation in the region, while governance and democracy significantly improve human rights. Results from the quantile regression show that (1) the negative impact of militarization on human rights is observable across all quantiles, (2) the positive impact of the control of corruption on human rights is more pronounced in countries where the existing level of human rights is high, while political stability and rule of law exerts stronger impact on human rights in countries where the existing level of human rights is low, (3) the positive impact of democracy on human rights is stronger in countries where the existing level of human rights is high. Policy recommendations based on these findings are discussed.
The role of the teacher in the main theories in pedagogy of the 21st century

The papers are similar, different, and how the views of each of them have influenced the world of education. This article highlights of the role of the teacher in the main theories in pedagogy of the 21st century.
Enhancing English Proficiency Skills Through Workshop

This study applied descriptive methods to determine the extent improvement of English Proficiency Test (EPT) score which was equivalent with TOEFL. The preparation workshop included skills and strategies workshop regarding to the TOEFL experience. This research purposed to describe the improvement as the result of workshop. The data collection techniques were (1) observation, (2) training, and (3) document analysis. The participants were assisted to discover of how to deal with TOEFL test type of questions. The sample is the training participants from 209 students came from several different major. The results of the data analysis showed that broadly speaking, there was a significant correlation between the preparation workshops and score achievement of EPT. The results indicated that the hardest part or section experienced by the students was structure and written expression 41%, while in the part of listening was 33%, meanwhile the easiest part assumed by the student was reading comprehension 26%. Based on the result, it was proved by the EPT score achieved by the students.  The average score was 443, and the best score reached by the student was in the section of reading comprehension. It was in line with the result of the workshop described the ability of mastering the skills in TOEFL section
Tomboyish Behaviour In Enid Blyton Novel The Famous Five: Five Go Adventuring Again (1997): A Tomboyist Perspective

This research aims to find out what are the characteristics of tomboysm in the novel and what factors makes Georgina tomboysh in the Novel The Famous Five – Five Go Adventuring Again using Tomboyist Perspective as well. The object of this study is to analyze the characteristic of Georgina and also what makes her tomboyish, the analysis is done through a descriptive qualitative method. The data for this analysis are taken from events and dialogues found in the novel. First of all, the researcher will read the novel to understand what the story is about. And then, by quoting several sentences and conversations from the novel, data are taken and the analysis is conducted. Secondly, based on the novel tells that the character in the novel, who is Georgina/George.
Relevance and Feature Accessibility in Combined Concepts

When comprehending combined concepts (e.g., ‘peeled apples’), two kinds of features are potentially accessible. Phrase features are true only of the phrase (e.g., “white”), while noun features are true of both the phrase and the head noun (e.g., “round”). Phrase features are verified more quickly and more accurately than noun features. No satisfactory account of this phrase feature priority has been put forth. We propose that relevance can explain the phrase feature priority. In Experiment 1, the differential accessibility of noun and phrase features was reversed by context paragraphs that made noun features relevant. Experiment 2 more subtly replicated this effect using a single-word context. We conclude that the phrase feature priority is attributable to the discourse strategy of assigning relevance to modifiers of combined concepts.
Increasing the efficiency of spiritual and educational work as a measure for a new stage of development

The article describes the systematic organization of spiritual and educational work in the country today, increasing the effectiveness of measures taken in this direction, raising the intellectual potential, consciousness and worldview of the population, especially youth, strengthening ideological immunity, patriotism, love and devotion to the people. Issues of upbringing are covered.
What's the best place for an AI conference, Vancouver or ______: Why completing comparative questions is difficult

Although large neural language models (LMs) like BERT can be finetuned to yield state-of-the-art results on many NLP tasks, it is often unclear what these models actually learn. Here we study using such LMs to fill in entities in human-authored comparative questions, like ``Which country is older, India or ______?'' -- i.e., we study the ability of neural LMs to ask (not answer) reasonable questions. We show that accuracy in this fill-in-the-blank task is well-correlated with human judgements of whether a question is reasonable, and that these models can be trained to achieve nearly human-level performance in completing comparative questions in three different subdomains. However, analysis shows that what they learn fails to model any sort of broad notion of which entities are semantically comparable or similar -- instead the trained models are very domain-specific, and performance is highly correlated with co-occurrences between specific entities observed in the training set. This is true both for models that are pretrained on general text corpora, as well as models trained on a large corpus of comparison questions. Our study thus reinforces recent results on the difficulty of making claims about a deep model's world knowledge or linguistic competence based on performance on specific benchmark problems. We make our evaluation datasets publicly available to foster future research on complex understanding and reasoning in such models at standards of human interaction.
Kinematic Reshade Reborn V1.8.1 [1.37]

Kinematic Reshade offers some changes in the visual section of the game so that you can enjoy a more realistic and pleasant experience in your travels. ...
한영 법령번역 문제에 대한 고찰 : 시행령 번역 감수 사례를 중심으로

Legal translation, though challenging, should be high quality, particularly when produced by government-funded institutions, such as the Korea Law Translation Center (KLTC) of the Korea Legislation Research Institute (KLRI). The present paper examines the quality of Korean–English statutory translations by KLTC based on error analyses. English translations of 13 Korean Enforcement Decrees were analyzed, and errors or deviations from the quality criteria of accuracy, target-language quality, comprehensibility, and consistency were identified. Inaccurate or inconsistent terminology usages were the most frequent errors, followed by grammatical-syntactic problems and unnatural target language expressions. Such errors can significantly undermine the quality of statutory translation, which requires utmost accuracy in every aspect. The results suggest that KLTC establishes a quality-assurance process in its translation practices to ensure accuracy in meaning transfer and linguistic and stylistic appropriateness, including terminological consistency, to enhance the quality of English translations of Korean statutes.
Emerging Trends in the Mitigation of Data Security of Consumer Devices Industry

Previous literature has investigated if mobile applications unregulated by the United States, such as Tik-Tok, can have a detrimental impact regarding the vulnerability of personal identifiable information of their daily users and are therefore worthy of banned designation for consumer use in the United States. The research conducted in these findings aimed to assess the benefits and downsides of user-permitted data collection from mobile applications such as Tik-Tok including whether Tik-Tok indeed poses a serious national security threat due to its potential exploitation from foreign governments, therefore warranting government escalation from being closely monitored to banned status. This chapter's research also consisted of analyzing emerging trends in the mitigation of data security of consumer devices industry in the instances of cloud computing, 5G implementation in home automation, and mobile applications privacy. Previous findings implicate the potential vulnerability of PII in mobile applications and support the notion of Tik-Tok becoming banned by the United States.
Financial Development and Poverty Reduction—An Empirical Analysis Based on Panel Data

This paper analyzes the relationship between financial development efficiency, financial development scale and poverty reduction in ethnic areas. The study found that the scale of financial development is positively correlated with poverty reduction, while financial development efficiency is negatively correlated. Economic growth, industrial structure, urbanization levels, fixed asset investment and poverty alleviation are significantly positively correlated. Financial institutions are advised to adjust their business models, innovate financial products, and increase support for regional leading industries and advantageous industries.
인칭대명사 생략 문장의 A-B번역 양상 : 소설 을 중심으로

This study evaluates translations of a Korean short story to determine how pro-drop pronouns are translated into other languages, whether they are translated into null subject pronouns as in Korean. Eight researchers identified instances of pro-drop from a Korean short story titled Plaza Hotel and identified the distribution of overt and null subject pronouns in five target languages including English, German, Russian, Spanish and Japanese. The sentences were divided into dialogues and declarative sentences and subjects were classified into different types of pronouns for further analysis. The study demonstrated that null subjects were translated into overt pronouns in English (76.0%), German (64.3%), Russian (56.1%), Spanish (1.4%) and Japanese (0.5%). The percentage of overt pronouns in Spanish and Japanese were considerably low compared to other languages, which indicates that these two languages share a particular characteristic. The study also illustrated that the distribution of overt pronouns were higher in declarative sentences than dialogues and the gap was particularly pronounced in English (14.5 percentage point) and Russian (28.2 percentage point), and less so for German (3.0 percentage point). Moreover, the occurrence of null subjects being translated into first person subject pronouns were higher than third person subject pronouns
Bibliografia degli autori italiani

The paper proposes, also as support of the National Library Service, the creation of a national repertoire that chronologically indexes the editorial production of the Italian authors, both handwritten and printed. The repertoire, entitled Bibliographic Dictionary of Italian Authors, would offer systematic evidence of the works of each Italian author, with a hypothetical regional structure.
Wind Turbine for Power Generation and Storage by Vehicular Movement on Highways with IoT

The demand for energy is increasing tremendously with each passing day. The depletion of the energy resources has necessitated the usage of renewable sources to meet the energy crisis the entire world is facing. The most important of all the renewable sources is wind which can be used as an efficient means for generating electricity by using wind turbines. These turbines are employed for the transformation of mechanical energy to electrical energy, thus making the use of a renewable source rather than relying on conventional sources of energy. The current work discusses the fabrication, erection and installation of a wind turbine on a highway which generates power using the vehicular movement. In this study, traffic survey was conducted at different locations to select the best location to set up the turbine giving due consideration to wind speed, vehicular movement and traffic volume. The fabricated wind turbine was installed at the site chosen based on the traffic studies carried out. The power generated was calculated by noting the current and voltage. The power generated was stored in a 12V, 1.3AH battery. The IoT system was installed with the turbine and sensors to record the voltage, current and any faults in the turbine. A boost converter was used which proved to be an asset in amplifying the voltage.