Reviewerly/exHarmony huggingface dataset:
Application of geographic data for spatial modeling of lead in contaminated fluvial soils

The present study aims to determine the spatial distribution of soils with lead (Pb) content above the quality thresholds in a section of the Ogosta River valley (NW Bulgaria). The study area was contaminated with mine waste from the extraction and flotation of iron, lead-silver, and gold-bearing ores in the second half of the XX century. Predictive modeling was performed with the software Maximum Entropy Species Distribution Modeling (MaxEnt), Version 3.4.4, which uses machine learning algorithms and applies the maximum entropy method. The choice of predictors of contaminated soil distribution is consistent with the main factor for Pb dispersal within the valley floor - flooding from the Ogosta River. The following six parameters explained the environmental settings related to the accumulation of contaminated floodplain sediment: vertical distance to the river channel, &amp;nbsp;lateral distance to the Ogosta River, terrain slope, land cover (CORINE Land Cover, 2019), morphographic units of topography, and elevation. The results represent the average values of 10 replicates of the model. We evaluated the individual models by the value of the area under the relative operating characteristic curve (AUC) and the geographic logic of the obtained results. The AUC score for the test samples was 0.666 for the soil group 1 with Pb &amp;le;120 mg/kg, 0.782 for group 2 with Pb (120-500] mg/kg, and 0.934 for group 3 with Pb&gt;500 mg/kg. The most significant predictors for the models are the vertical and lateral distance to the river and the slope of the terrain. Lead concentrations tend to decrease with the distance from the main river and by increasing the elevation above the river channel due to lower inundation frequency and deposition rate of polluted river sediments. The soils with a Pb concentration below the permissible threshold of 120 mg/kg cover more than 58.42% of the valley floor of the studied section, and lands with Pb content above the intervention value of 500 mg/kg occupy nearly 10.82% of the investigated territory. The selected predictors describe the distribution of highly contaminated soils well and define the range of soils with lower Pb content worse. Combining clean and contaminated soil samples into one group is considered the main reason for the poor performance of MaxEnt for soils with Pb &amp;le;120 mg/kg. However, the results prove the model&amp;#39;s ability to predict the spatial distribution of not only biological species but also the dispersal of hazardous substances in soil.
Students' Views of the Use of Video Conferencing to Teach Speaking in Indonesian Higher Education

This study attempts to describe how students view the use of Google Meet during the English language learning process. State University of Makassar was the site of this study. Student participants in this study were those attending State University of Makassar. Interviews were used by the researcher as a data collection tool. Based on the study's findings, the researchers discovered that students have both good and negative attitudes on using Google Meet for video conferencing during the learning process. Students' good attitudes can be seen in their readiness to participate in video conferences, enthusiasm for a variety of movements, development of their skills in using the learning tools, and respect and appreciation for others' abilities and disabilities. While the negative attitude was the students don’t attend the class and not participate the group project as well, and also if they cannot speak as well during video conferencing, they wouldn’t participate the class, they decided to keep silent and do not follow the instruction from the lecturer.
RANCANG BANGUN ALAT PERAJANG SINGKONG DAN PISANG DENGAN MOTOR PENDORONG

Chips are a type of snack or snack made from tubers such as cassava and bananas which are usually produced by home businesses. However, most home-based chips making businesses still use manual tools such as kitchen knives or cutters so that production takes longer, the thickness cannot be adjusted and the risk of workers' hands being injured by knives is added. This cassava and banana chopper uses a driving motor system that is driven by an electric motor with a speed of 1400 RPM HP and the pusher is driven by a power window. The results of this tool chopping obtained thickness in cassava and banana is 1-1.5 mm which is the standard thickness of chips in general. In addition, the results obtained are faster production compared to manual techniques using a kitchen knife or cutter. The conclusion is that the cassava and banana chopper with a driving motor is very efficient for chip craftsme, because the production time is faster and the thickness of the cassava and banana slices is uniform, namely 1-1.5 mm.
Slide Decks as Government Publications: Exploring Two Decades of PowerPoint Files Archived from U.S. Government Websites

Over the last three decades, US government agencies have published hundreds of thousands, if not millions, of PowerPoint files on the web. Hundreds of thousands of these files have been captured and preserved in web archives. With that noted, it remains difficult to find and interact with these files. This paper analyzes a public dataset of 1,000 PowerPoints from US government websites in the Library of Congress web archives to explore the properties of these kinds of files. This publicly available dataset published in 2019 includes a random sample of a thousand files from the more than 300,000 files that purport a PowerPoint media type in the Library of Congress web archives. The study focuses on characterizing the nature of these publications, the extent to which embedded metadata in these documents could be used to improve access to them and exploring what properties of these files are likely to be important to future users. Exploring these data provides a means to begin to understand the value and nature of PowerPoint files as a format of government publishing and government records.
Perspectives and Metaphors of Learning: A Commentary on James Lester’s Narrative-Centered AI-Based Environments

Abstract This commentary aims to discuss perspectives on narrative-centered learning and metaphors of AI-based learning environments. To this end, the commentary draws from James Lester’s keynote and an interview with a focus on the narrative element that underlies the use of AI in Learning. In both texts, Lester offers an account of the narrative-centered learning environments that he has been developing with his research group. One example of such environments is Crystal Island, an AI-based game for K-12 students learning science. Along with Crystal Island, more metaphors of learning emerge. Based on these, this chapter uses Paul Ricoeur’s narrative theory and metaphor theory to reflect on the role of characters and the narrative plot in relation to Lester’s visualization of the future of learning with AI-based technologies. In this process, new roles in AI-based learning are introduced. One such example is the role of drama manager. The drama manager is a novel metaphor in game-based learning. In addition, more conventional metaphors, such as the tutorial dialogue, are brought forward as well as technological metaphors. The multiplicity of metaphors have agency at the core, as connecting tissue. Agency, although not explicitly articulated in the keynote and the interview, is an all-encompassing metaphor in learning. As technological advancement shakes the boundaries of thinking about agency nowadays, new dynamic metaphors are needed in AI-based learning. Toward this direction, the commentary draws from new materialist and post-humanist thinkers to raise these issues and the need to take the narrative further.
Identifying Learners’ Needs and Design Features in Augmented Reality Application for Learning Mandarin Vocabulary: A Pilot Study

Global communication has become narrower and simpler and resulted to the increased demand of foreign language learning.Due to this, more effort has been taken up especially in tertiary level to further improve learning experience in line with the increasing demand and needs of learners in learning.More suitable digital materials are needed and Augmented Reality (AR) is seen able to be utilized.However, AR uses and how it complies to certain principles of language teaching and learning have become a concern.Therefore, this paper attempts to identify the needs of learners in AR learning environment as well as identifying the features required in the content and design of AR application for Mandarin vocabulary learning.This quantitative research involves 320 purposely selected respondents and utilizes a set of survey questionnaire comprises of three parts.The findings, based on descriptive analysis, show that high majority of learners are very positive about the statements in the questionnaire especially in the design aspects with some exceptions in the perceived ease of use, usefulness and intention of use categories.These findings are useful in providing clearer needs of the learners and design requirements in learning Mandarin vocabulary using AR.
The organization of the project activity of master's students of the «Pedagogy of higher education» educational program in conditions of blended learning

The work presents the main requirements for the organization of project activities of master's students of the educational program “Pedagogy of Higher Education” in conditions of blended learning during the teaching of the discipline “Leadership and Management”: outline of a particular problem; theoretical, practical, and cognitive significance of expected results; independent cognitive activity of master's students; structuring the content component of the project; use of the system of scientific research methods.
The Role of Factors Influencing Organizational Purchasing Behavior with Emphasis on Ethical Components

The Role of Factors Influencing Organizational Purchasing Behavior with Emphasis on Ethical Components
Sentiment Analysis of the Impact of the Covid-19 Pandemic on Students and College Students through Twitter Social Media

The Covid-19 pandemic has had an impact on adjusting the implementation of economic and social activities as well as education by prioritizing public safety and health, including students. The purpose of this research was to obtain the results of sentiment analysis on the impact of the pandemic on students by extracting opinions in the form of text on Twitter social media. The benefit of the results of the sentiment analysis is that solutions can be found for those affected by the pandemic. The method used in sentiment analysis consists of 5 stages, namely data collection, text preparation, sentiment detection, sentiment classification, and output analysis. The research results stated that negative sentiment was the largest sentiment, namely 88%, followed by positive sentiment as much as 6% and neutral sentiment as much as 5.3%.
Instructional Automotive Charging System with Automatic Voltage Regulator and Integrated Circuits

This research investigated the effectiveness of the mock-up innovation as instructional material for teaching among the third-year automotive technology students at Bukidnon State University, Malaybalay, Bukidnon, during the first semester of the school year 2018-2019. It highlighted the profile of the students considering: academic status (e.g. regular, irregular); program status (e.g. first course, second course); unit load; family income and size; and major subjects. It also evaluated the pre-test and post-test scores in written and practical examinations on the topics of Test and Repair Wiring/AVR Charging Systems; Test and Repair Wiring/IC Charging Systems; and Servicing Car Batteries, as well as their performance during activities and simulations. External evaluations in written and practical examinations were also done on the 3 topics. Finally, it assessed the effects or influence of all the input and process variables on the output variables of the study with the outcome of a trainer model on a Project Development for the Instructional Trainer Innovation for Automatic Voltage Regulator and Integrated Circuit Charging System. A descriptive research method was used, employing the survey questionnaire and written and practical examinations, to gather the data. Findings revealed the academic and socio-economic profile of the respondents; the results of the pre-and post-test in the written and practical evaluation on the 3 topics where improvements in scores are seen in the post-tests after the utilization of the Trainer Model as instructional materials. However, there were no significant effects of the input variables on the written and practical scores of the respondents.
Development of Electronic Archive Book in Improving Learning Outcomes of Electronic Archive Management of Office Administration Education Students, Faculty of Economics, Unimed

The innovative thing in this drafted Electronic Archive Management book is that it contains theory and practical steps for managing Electronic Archives based on SIKD. So that this book is expected to be used by students in practicing electronic archive storage. This research uses a research and development approach (R&amp;D) to the Borg and Gall model with the following development steps: 1) Research and Information Collecting, 2) Planning, 3) Develop Primary Form of Product, 4) Prelimenary Field, 5) Main Product Revision, 6) Main Field Testing, 7) Operational Product Revision, 8) Operational Field Testing, 9) Final Product Revision and 10) Dissemination and Implementation. Based on the significance value of the coefficients table, a significance value of 0.000 &lt; 0.05 was obtained, so it was concluded that the Electronic Archive Management Book variable had an effect on the student learning outcomes variable. Based on the t value: it is known that the t count value is 8.295 &gt; t table 1.978, so it can be concluded that the Electronic Archive Management Book variable (X) has an effect on the Learning Outcome variable (Y).
Block Chain Technology-Based Secure E- Wallet System

According to a survey of Forex Bonuses 2017, Sweden and Canada seem to be linked with the cashless economy. An economic system where only minor amounts of currency are used in transactions is known as a cashless economy. The foundation of a cashless economy is the use of credit cards, debit cards, wallets, or other digital payment methods. Although people in India still prefer to carry cash rather than credit or debit cards, the country is transitioning to a "less cash economy" phase. Controlling the shadow economy, corruption, financing of terrorism, trafficking of people and drugs, counterfeit currency, and other issues is crucial. The cashless economy is economical, conducive to company growth and financial inclusion, etc. It is being promoted by the government via the BHIM app, AEPS, Digital, etc. Cashless economy demands strong digitalization. It has various challenges-escaping attitudes of people, poor transaction security mechanism, insufficient infrastructure etc. it is boon to industries like UBER and OLA. On secondary data, more analysis will be performed. Cashless Using BCT, India's economy is feasible and will be more secure. BCT has the ability to eliminate cash in India. both clear and safe.
Retracted: Breast Cancer Classification Prediction Based on Ultrasonic Image Feature Recognition

[This retracts the article DOI: 10.1155/2021/4025597.].
An Estimator for Matching Size in Low Arboricity Graphs with Two Applications

In this paper, we present a new simple degree-based estimator for the size of maximum matching in bounded arboricity graphs. When the arboricity of the graph is bounded by $\alpha$, the estimator gives a $\alpha+2$ factor approximation of the matching size. For planar graphs, we show the estimator does better and returns a $3.5$ approximation of the matching size. Using this estimator, we get new results for approximating the matching size of planar graphs in the streaming and distributed models of computation. In particular, in the vertex-arrival streams, we get a randomized $O(\frac{\sqrt{n}}{\epsilon^2}\log n)$ space algorithm for approximating the matching size within $(3.5+\epsilon)$ factor in a planar graph on $n$ vertices. Similarly, we get a simultaneous protocol in the vertex-partition model for approximating the matching size within $(3.5+\epsilon)$ factor using $O(\frac{n^{2/3}}{\epsilon^2}\log n)$ communication from each player. In comparison with the previous estimators, the estimator in this paper does not need to know the arboricity of the input graph and improves the approximation factor for the case of planar graphs.
RefCrowd: Grounding the Target in Crowd with Referring Expressions

Crowd understanding has aroused the widespread interest in vision domain due to its important practical significance. Unfortunately, there is no effort to explore crowd understanding in multi-modal domain that bridges natural language and computer vision. Referring expression comprehension (REF) is such a representative multi-modal task. Current REF studies focus more on grounding the target object from multiple distinctive categories in general scenarios. It is difficult to applied to complex real-world crowd understanding. To fill this gap, we propose a new challenging dataset, called RefCrowd, which towards looking for the target person in crowd with referring expressions. It not only requires to sufficiently mine the natural language information, but also requires to carefully focus on subtle differences between the target and a crowd of persons with similar appearance, so as to realize the fine-grained mapping from language to vision. Furthermore, we propose a Fine-grained Multi-modal Attribute Contrastive Network (FMAC) to deal with REF in crowd understanding. It first decomposes the intricate visual and language features into attribute-aware multi-modal features, and then captures discriminative but robustness fine-grained attribute features to effectively distinguish these subtle differences between similar persons. The proposed method outperforms existing state-of-the-art (SoTA) methods on our RefCrowd dataset and existing REF datasets. In addition, we implement an end-to-end REF toolbox for the deeper research in multi-modal domain. Our dataset and code can be available at: \url{https://qiuheqian.github.io/datasets/refcrowd/}.
Asymmetrical and Changing Meters

To conduct changing meters, simply shift patterns as marked and maintain a constant tempo. This excerpt demands expressive phrasing; give clear releases at phrase endings. Note especially the crescendo, subito piano, and rallentando in the last four bars.
Introduction

Conception refers to the conductor’s inner hearing, or “audiation,” of the correct performance. Students gain a conception of the music through score study and listening to performances. This inner hearing of the score is the only sound basis for interpreting music and for developing conducting/rehearsal technique. Execution refers to the array of readable conducting gestures that student conductors must develop, representing appropriate attacks and releases, tempo, meter, style, dynamics, balance, cuing, accentuation, phrasing, and interpretation. Turning off the sound completely is also revealing. Students can observe their conducting gestures as they sing along with the score and check preparatory beats, steady tempos, beat patterns, eye contact, leadership, and so forth. Clear preparatory beats are imperative at the beginning and also at any resumption of music within the composition. The fermata is a good illustration: many students cannot seem to grasp the necessity of a preparatory gesture after a fermata.
Asymmetrical and Changing Meters

This chapter allows the musicians to conduct uneven and changing meters in slow and fast tempos. Contemporary composers often write music with uneven meters that shift in rapid succession to disturb or displace the normal and expected regularity of beats. Although the effect may sound nonmetric to a listener, the conductor and musicians must keep the beat, or a division of the beat, steady for the unity of performance. However, such eighth-note groups should be subsumed within a larger beat structure when the tempo is too fast to beat double time clearly. The division of the beat, usually the eighth note, must remain constant, so the musicians must vary the speed between beats to maintain the consistent beat division.
Research on effective ways to improve construction technology of ecological landscape architecture

In recent years, strongly promoted by economic and technological development, the process of urbanization in China has shown a state of continuous acceleration. In this context, people's living standards are getting higher and higher, and the requirements for the surrounding environment are constantly improving, which further promotes the rapid development of ecological landscape gardens in China. However, at present, there is still room for improvement in the quality of its ecological landscape gardens in the actual construction process. Its construction technology needs to be optimized and upgraded. Based on this article, we will analyze and discuss the effective path for the continuous improvement of ecological landscape architecture construction technology.
The Baton, Preparation, Downbeat, and Release

The baton is the conductor’s symbol of leadership authority. By extending the forearm, a baton gives clarity to the beat and the conducting pattern. By providing visibility for performers, it facilitates precision in ensemble performance. All effective conducting involves preparation. Preparatory or anticipatory gestures give inevitability to conducting that results in ensemble precision. The consummation of the preparatory gesture as it arrives through the down-stroke is the count of one. This point is defined precisely by a small snap of the wrist, a subtle but vital wrist action variously described as a rebound, flick, click, bounce, recoil, tap, or ictus. To conduct the release after the count of one, start with the preparatory beat, follow through with a downbeat to the count of one, and execute a release gesture in tempo.
OA META - BookMetaHub

OA metadata for books is essential for the transformation of the whole scholarly landscape, and one of its greatest advantages is full, immediate accessibility.The point of origin for the OA META project was the realization that available book metadata (i.e.ONIX/MARC records) was not primarily created for the usage of indexing within an electronic research environment.Consequently, both detail and focus of elements tagged in datasets are not necessarily selected to output solidified and persistent book records.The question was how to enrich or create metadata so that it can unfold its greatest impact in an e-context.ScienceOpen has created a metadata hub with a free interface to create, maintain or enrich, and export available OA book metadata that allows publishers to create comprehensive, interoperable metadata readily integrable with persistent IDs and transferable between systems to connect to the infrastructure of the scholarly publishing landscape more easily to increase visibility, discoverability, and distribution of OA metadata for books and monographs-all openly licensed and easily accessible, in compliance with common standards and best practices.
Teaching English During Pandemic Covid 19: Home-Visiting students at Mi Unwanul Falah

This study describes the implementation of home visit tutoring activities as the student study service program, which then used as narrative research. This activity was held at Mi Unwanul Falah for English subjects in grade 6 elementary school. Based on the results of research showed that children will respond to lessons better if the procurement is carried out in an interesting and interactive way, such as the use of diverse and concrete learning media so as to improve the quality of children's learning during the COVID-19 pandemic