Reviewerly/exHarmony huggingface dataset:
Portable XRF analyzer: a powerful tool for multiscale assessment of soil contamination

&amp;lt;p&amp;gt;All around the world, a wide range of rural and industrial areas contaminated by PTE (potentially toxic elements) is affected by general lack of ex-ante information on type, quantity and location of potentially hazardous substances, hence the increasing request of proper investigation tools enabling preliminary screening of soil environment. Besides, spatial understanding of soil contamination is a prerequisite for the achievement of both proper site characterisation and reclamation.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Continuous aquisition in field of physical soil properties (such as apparent electrical conductivity by means of EMI equipments or natural gamma-ray dose rate by gamma-ray spectrometer) is of great importance to follow soil short range spatial variability. However, when the key parameter to be monitored is the soil PTE concentration (to assess, for example, exceeding of the established screening values - CSCs), a different tool is required. &amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In a farmland of South of Italy, confiscated by the Italian Judiciary due to past illegal burial of industrial wastes, a portable handheld XRF analyzer (pXRF) was used at field scale to measure PTE (As, Cd, Cr, Ni, Pb) content on soil samples collected on a regular sampling grid of 20x20 m, at three depths (0-20, 30-60, 70-90 cm). On the basis of the contaminant content, distribution maps were outlined and &amp;amp;#8220;spatial pollution hot spots&amp;amp;#8221; revealed.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In correspondence of the most contaminated areas, 8 soil trenches and 5 profiles were dug. In one of the most representative soil trenches, a large (depth/height = 200 cm and width = 500 cm) wall was in situ analysed with high detail by using the pXRF at pedon scale (measurement distance of 10 cm vertically and between 20-35 cm horizontally). The use of the software Surfer 12 enabled the spatialization and mapping of the in depth contamination. Results showed a moderate but diffuse and homogeneous Cr contamination in the topsoil (400 mg/kg), a higher but point-source (2-3%) contamination in the subsoil and uncontaminated soil (40 mg/kg) below 2 m of depth. Most contaminated soil/wastes were then morphologically described and collected, bulk samples for chemical analyses and undisturbed samples for micromorphological thin sections.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;pXRF analyzer was also used at microscopical scale on soil thin sections, using a small spot collimator (analysis area of 0.07 cm2), to preliminary detect and select contaminated micro &amp;amp;#8211; pedofeatures, to be further sub-microscopically (SEM-EDS) analysed.&amp;lt;/p&amp;gt;
An Analysis of Cartoons Watched by Preschool Children aged 5-6 According to Gender Variables

TARTIŞMA ve SONUÇ:
"The Devil's Doll" By Zinaida Gippius: The Preface As A Literary-Critical Text

The preface of the novel "The Devil's Doll" by Zinaida Gippius has some unique features.It can be considered as an independent literary-critical text.But the readers and researchers of writing are scarcely acquainted with the full version of the novel."The Devil's Doll" is better known in its first journal edition.Before long, the novel was published in its entirety.The book was supplemented by the author's preface "To Readers".The remarkable fact is that the preface appealed to both future readers and those who had read the literary work before.Thus, the novel is blended seamlessly with the literary and culture-historical dialogue.Being a structural element of the literary work, the text "To Readers" has unusual features and meaning.The preface functions as a postface, the author's comment and interpretation to the first edition, and also makes a critical assessment of the novel still being its part.Zinaida Gippius acts as both the author and the critic.The poetic and chronologic features of the preface make it function as an independent literarycritical text."To Readers" of itself is brought into a multilevel dialogue beyond the boundaries of literary work.
Text Augmentation Techniques in Drug Adverse Effect Detection Task

The paper researches the problem of drug adverse effect detection in texts of social media.We describe the development of such a classification system for Russian tweets.To increase the training dataset we apply a couple of augmentation techniques and analyze their effect in comparison with similar systems presented at 2021 years' SMM4H Workshop.
Good Governance and Economic Development in Nigeria

Evidence has shown that when a country’s overall governance quality and property rights system are weak, voluntary and market governance mechanisms have limited effectiveness. This may further generate economy-wide misallocation of resources and slower economic growth and make governance quality a major key factor for stable economic development which also prompted many international aid initiatives and domestic policies of developing countries to focus on improving public sector governance. This informs the need to carry out a study of this nature by examining the impact of governance quality on economic development in Nigeria. The study used the Autoregressive Distribution Lag (ARDL) method of analysis and granger causality test on secondarydata collected from World Bank data base and CBN statistical bulletin between 1982 and 2019. The results from the analysis showed that even though all the variables do not have significant impact on GR, CC and FDI_GDP exhibit a positive relationship with the GR while MC_GDP, RQ and VOA have negative relationship with GR. Also, the approximate ECM coefficient of -0.89 indicates that any deviation from the long-term equilibrium between variables is corrected by about 89% each year. Consequently, this study concludes that successful good governance mechanisms depend on good legal framework which is the bedrock for entrenching good governance measures in any country. Therefore, the study recommends among others, the need to put in place some measures of good governance quality which form the basis for promoting sound macroeconomic plans.
DivyaDrishti Hi-Tech Glove for Specially Abled

In today's changing world, the Internet of Things is one of the fields which will impact human life to a great extent. Applying the concepts of IOT and using Arduino Microcontroller, the project aims to contribute towards a social cause, by solving the problem of visually impaired and mute people. The device would assist visually impaired users to sense objects without actually coming in contact with them by using sensors. The device also consists of a communication system which uses Morse code, for the people who are unable to communicate so that they can express themselves and convey messages to others. Users with the help of our project would be able to walk on roads or public places without any help of another human being, by making them independent.
Impact of Foreign Direct Investment on Welfare in Africa: Empirical Evidence from Guinea

The recent economic and financial hardship has resuscitated controversies over the role of Foreign Capital in economic growth and welfare enhancement in emerging nations, particularly in Guinea. The literature that scrutinizes the causal interaction among FDI and poverty alleviation is relatively abundant, the fundamental statement shared by these empirical studies is that GDP growth is assumed to be relevant proxy of people well-being. However, Guinea and its FDI attraction policies have not been well approached by some of these paper. This empirical study examines the interaction between FDI inflows and poverty alleviation in Guinea from 1990 to 2017. The Human Development Index (HDI) and the per capita FDI net inflows are respectively employed as key welfare and FDI indicators.The findings from the Error Correction Model (ECM) confirm that, in the long term the variables converge in the same direction. The outcomes also exhibit that per capita FDI in the long run, negatively impacts welfare but not significantly, while Inflation’s coefficient remains positive and significant. With trade openness, we still found the same positive interaction but not significant. The results from the Auto Regressive Distributed Lag Model (ARDL) exhibit that per capita FDI flows [current value and L2.] have positive but not significant impact on HDI whereas FDI [L1] has a negative interaction with welfare at 10% significance level. The trade openness variable [current value] is negatively but not significantly associated with HDI, while inflation [L1 and L2] influence on human advancement is positive and significant.Overall, Foreign direct investment in Guinea is still resource seeking investment which impact on the domestic economy is very limited. Hence, government should introduce new policies and incentives in order to attract more market seeking or other types of FDI that may promote inclusive growth and alleviate poverty.
DAMPAK TEKNOLOGI INFORMASI, ETIKA PROFESI TERHADAP KINERJA AUDITOR

This research ains to make analyze about impact to information technology and professional ethics of public accountants for auditor performance. The result expected to provide benefits in the audit process of financial statements that they can to improve the auditor performance in public accounting firms in DKI Jakarta area. Respondent used in this study are auditors who work in public accounting firms in DKI Jakarta area. Data collection methods used was questionnaire. The analytical method used in this research is descriptive analysis. The verification analysis is used to test the outer model, inner model and hypothesis testing with SmartPLS 3th version. Result of this research reveals that of the two variables; information technology and professional ethics of public accountants that have significant positive effect on auditor performance. The result of this analysis show from original sample value of information technology of 0.225 and professional ethics of 0.691. I t means that information technology and professional ethics have a significant effect on auditor performance. Meanwhile, the t-statistics value of information technology is 3.517 and professional ethics is 10.289. It means that information technology and professional ethics have a significant effect on auditor performance. The result illustrate that auditors feel benefits when implementing information technology consisting of artificial intelligence with use of being able to help analyze big data quickly, reduce errors. Then, cloud computing with the use of large storage scalability and can adapt to the needs and flexibility of data usage. Then there is professional ethics in supporting and improving the performance of auditors with the basic principles formulated by IAPI.
Clipping Loops for Sample-Efficient Dialogue Policy Optimisation

Training dialogue agents requires a large number of interactions with users: agents have no idea about which responses are bad among a lengthy dialogue.In this paper, we propose loop-clipping policy optimisation (LCPO) to eliminate useless responses.LCPO consists of two stages: loop clipping and advantage clipping.In loop clipping, we clip off useless responses (called loops) from dialogue history (called trajectories).The clipped trajectories are more succinct than the original ones, and the estimation of state-value is more accurate.Second, in advantage clipping, we estimate and clip the advantages of useless responses and normal ones separately.The clipped advantage distinguishes useless actions from others and reduces the probabilities of useless actions efficiently.In experiments on Cambridge Restaurant Dialogue System, LCPO uses only 260 training dialogues to achieve 80% success rate, while PPO baseline requires 2160 dialogues.Besides, LCPO receives 3.7/5 scores in human evaluation where the agent interactively collects 100 real-user dialogues in the training phase.
The Social Responsibility of the Small Enterprise Development and Poverty Alleviation Authority

The study aims to achieve a set of goals, the most important of which is determining the level of social responsibility of the small Enterprise Development Agency, as well as poverty alleviation for the beneficiaries. Several hypotheses have been developed to measure this, and the study is considered one of the descriptive studies using the social survey method, a questionnaire form is used for the beneficiaries with a number of (64) and a comprehensive enumeration of the (20) officials in Cairo governorate. The study concludes that its hypotheses are correct as it is proven that the level of social responsibility in the small Enterprise Development Agency is high.
The work with young teachers of V. Sukhomlynskyi's pedagogical heritage in today's perspective

The article reveals the current and pending issue of a young teacher professional formation. The thorough analysis of scientific literature source enabled the possibility to specify the term «young teacher» as there is no single and unified approach among the researchers towards its definition. Having summarized different scientific viewpoints it has been suggested to distinguish such fundamental criteria for the term defined as professional training and professional activity. &#x0D; The very first steps of the young teacher who only starts his/her professional activity will provide for&#x0D; his/her professional skills formation and development in future. &#x0D; It has been proved that the scientific results achieved and formulated by the prominent pedagogue V. Sukhomlynskyi have a lot of things in common with the pedagogical experience of today and have not lost their importance and significance for modern teaching/learning process. The experience of teachers’ professional skills and mastery formation and development generated in Pavlyska secondary school is widely implemented into practice of methodological activity in many secondary educational establishments nowadays. Except the traditional and efficient methodological activities and types of events used in Pavlyska secondary school, there were teachers’ councils, methodological unions, psychological and pedagogical seminars, young teachers schools, lesson and pedagogical events attendance and analysis.&#x0D; It has been stated in the article that according to the results of the written and oral opinion polls we had conducted the conclusion may be made that the great part of young teachers does not feel confident as for their mastery of modern educational and innovative didactic techniques and methods. Though, on the other hand, they showed the quite advanced level of technical means mastery and skills that are applied in the system of blended learning. The research revealed that the more active is the support of school management and more experienced teachers more successful is the way of young teachers’ professional development. The following conditions have also been defined as quite useful: young specialists-friendly atmosphere, appropriate methodological work organization. Such conditions are believed to be helpful for teachers who only start their professional career and motivate them to improve their skills and abilities, to promote their creative potential.
The Role of Artificial Intelligence for Image Analysis in Surgical Pathology

Nowadays, artificial intelligence (AI) is an important part of our life and it is a field which continues to grow, to develop and to be implemented in many aspects of our daily tasks.In addition, it continues to conquer many domains of health care with huge progress maid especially in medical image analysis, like radiography, computer tomography, magnetic resonance imaging, digital breast tomosynthesis, positron emission tomography scans or retinal images.The purpose of our work is to analyze the current state of AI systems and software in the practice of pathology.The digitalization process of pathology was possible due to development and improvement of several whole slide images systems in the last decade which provide a vast and rich image data to pathologists and researchers.The algorithmic base of AI is represented by machine learning (ML) and the basis of AI software reside in different statistical model and methods on large set of data.Initially, different mathematical models were used as toolset for ML like supervised and unsupervised learning, random forest, clustering algorithms or component analysis.In the present, deep learning subfield of ML with its neural networks (NN), artificial and convolutional NN, are frequently used in machine vision field.Other tools used in image analysis of digital slide are data augmentation, probability heat maps, patching and computer-aided diagnosis.All of them lead to a high valuable output from which an algorithm can be extracted and can assist the pathologist to render a final diagnosis.Even if there are a lot of challenges in integrated AI solutions in pathology department, they can streamline the diagnosis process in pathology with improvement of workflow, boosting the performance with a better and quicker diagnosis.Image analysis in pathology continues to expend and new branches emerge (digital pathology and pathology informatics) with huge potential for innovative discoveries.
Consensual nature of scientific knowledge as generalization of its conventionality

The article provides the theoretical reconstruction of the content and philosophical foundations of the consensual and the conventionalist concepts of scientific cognition. It is shown that the consensual concept generalizes the rational aspects of the conventionalist concept on the one hand and rejects it on the other hand. The latter refers to a) the interpretation of the subject of scientific cognition and b) understanding the criterion of the truth of scientific knowledge.
Ceza Muhakemesi Hukukunda Moleküler Genetik İncelemelerin Özel Nitelikli Kişisel Verilerin Korunması Açısından Değerlendirilmesi

Although the protection of personal data is a requirement and has a great importance, the diversification of both the data within the scope of personal data and the situations that may cause a violation of the law in terms of protection of this data, makes this protection difficult and necessitates the creation of new legal protection mechanisms. Criminal procedure law is the branch of law which most needs personal data. Molecular genetic analysis is regulated by Articles 78 and thereafter of the Turkish Criminal Procedure Code No. 5271 which is focused on sensitive personal data. Although there are debates on whether or not they should be established in our country, DNA data banks in most countries require different evaluations on the protection of sensitive personal data. In our study, molecular genetic analysis in criminal procedure law is examined in terms of the protection of sensitive personal data and examining firstly Turkish criminal procedure law and then significant comparative law examples. In this regard, the legal regulations related to molecular genetic analysis, the protection mechanisms envisaged in these regulations and the situations reflected in practice are presented and the issues discussed in the judicial decisions are also mentioned. The study was completed by presenting certain important points related to the subject and with specific explanations on whether or not a national DNA database should be established in our country.
Picturing Megaliths in Twentieth- Century Swedish Archaeology

ln this paper I will begin a discussion about the ways in which megaliths appear in archaeological images. My discussion of examples is not comprehensive and the selection of images far from complete, but I hope nevertheless to present some key elements of the pictorial vocabulary with which megaliths have been seen and depicted by archaeologists working in Sweden during the twentieth century. However, entering the third millennium of our chronometrical tirnescale should not only be an occasion to look back, but also an opportunity to look forward and reflect upon the way ahead. Recent discussions about the problems with established ways of depicting archaeological sites and objects, and suggestions for new kinds of images and illustrations, should concern us all and lead to an active engagement of archaeologists with questions of visual (re)presentation.
Prediction System for Problem Students using k-Nearest Neighbor and Strength and Difficulties Questionnaire

The student counseling process is the spearhead of character development proclaimed by the government through education regulation number 20 of 2018 concerning strengthening character education. Counseling at the secondary school level carries out to attend to these problems that might resolve with a decision support system. So that makes research challenging to measure completion on target because it is not doing based on data. The counseling teacher does not know about student's mental and emotional health conditions, so it is often wrong to handle them. Therefore, we need a system that can recognize conditions and provide recommendations for managing problems and predicting students who have potential issues. The Algorithm used to predict problem students is K-Nearest Neighbor with a dataset of 100 students. The stages of predictive calculation are data collection, data cleaning, simulation, and accuracy evaluation. Meanwhile, building the system is done using the rapid application development methodology where the instrument used to map the student's condition is the Strenght and Difficulties Questionaire instrument. This research is a system to predict problem students with an accuracy rate of 83%. The level of user experience based on the User Experience Questionnaire (UEQ) results in the conclusion that the system reaches "Above Average.". This system is expecting to help counseling teachers implement an early warning system, help students know learning modalities, and help parents recognize the child's personality better.
THE EFFECT OF USING MIND MAPPING TECHNIQUE ON WRITING DESCRIPTIVE TEXT AT THE TENTH GRADE STUDENT’S OF SMA TAMAN SISWA BINJAI

The objective of this resarch was to find out the effect of using mind mapping technique on students’ writing descriptive text. This study applied quasi-experimental research. This study was conducted of the tenth grade students’ of SMA Swasta Taman Siswa Binjai as the population study. The sample was taken by using cluster random sampling, with 70 students as the sample. As the experimental class, the writer used class X-IPS 1 which consisted of 35 students and for the controlled class, the writer used class X-IPA 2 that consist of 35 students. The data collected from this study were analyzed by using t-test formula. The result from calculating the data was found that the value of t-observed ( ) was higher than the value of t-table ( ). The result of was 4,05 since the in degree of significant 5% was 1,66. It shows that the comparison of and was 4,05 1,66. Therefore the alternative hypothesis (Ha) is accepted and the null hypothesis (Ho) is rejected. In other words, there was an effect of using mind mapping technique on writing descriptive text at the tenth grade students’ of SMA Swasta Taman Siswa Binjai.
Correction to: The road from evidence to policies and the erosion of the standards of democratic scrutiny in the COVID-19 pandemic

A correction to this paper has been published: https://doi.org/10.1007/s40656-021-00435-1