Reviewerly/exHarmony huggingface dataset:
Magmatic Pathways Feeding the 2021 Paroxysmal Events at Mt Etna: A Mineral Perspective

Mt. Etna, Italy, is one of the most active and intensely monitored volcanoes on Earth.The volcano produces relatively homogeneous trachybasaltic compositions in eruptions that vary from effusive to explosive.Since 1986, Mt.Etna has experienced over 240 short, explosive events (paroxysms) at its summit craters.The paroxysms are characterised by Strombolian activity followed by lava fountaining and may pose increased hazards relative to the regular activity.Here, we explore pre-eruptive histories in the February -March 2021 paroxysms and compare results to non-paroxysmal activity.We apply high-resolution major, minor and trace element geochemistry to clinopyroxene and plagioclase crystals from lava flow and pyroclastic products.Clinopyroxene is an early crystallising phase in Etnean magmas, providing information on relative deep levels within the plumbing system.In the 2021 products, clinopyroxene (Mg# = 73) occurs as phenocrysts (>400μm crystal length), microphenocrysts (200-400μm) and groundmass microcrysts (<100 µm width).Crystals typically have Cr-rich bands, which signals the input of mafic magma into the system.These bands can surround recycled, Na-rich cores which likely formed at depth.Additionally, sector-zoning is common, with rims typically stronger partitioning between the sectors than the cores, suggesting crystallisation at higher undercooling conditions, likely during ascent.Overall, crystals in lava flows, bombs and lapilli products show similar compositions.In contrast, plagioclase is a late crystallising phase at Etna and forms in shallow regions of the plumbing system upon degassing, developing a wide range of disequilibrium textures.In our lava and bomb samples, plagioclase occurs as phenocrysts and groundmass microcrysts, and is commonly normally and/or oscillatory zoned, with sieved cores.In contrast, plagioclase crystals from lapilli are intensely sieved and are unzoned except for very thin An-poor rims.We interpret these products to be formed after eruption-triggering magma recharge in the shallow regions of the plumbing system, correlating with Cr-rich recharge bands in clinopyroxene.Overall, crystal textures and compositions in 2021 are similar to those in non-paroxysmal eruptions, but ubiquitous disequilibrium textures in plagioclase from 2021 lapilli suggest key differences in final magma ascent and degassing prior to paroxysmal explosions.
Student Satisfaction Analysis in E-Leaning Usage Based on Service Quality, Information Quality, and System Quality in Indonesian Higher Education

In the current pandemic era, almost all activities are carried out online, including the provision of education. E-Learning is something that is new, because of the pandemic, many provider institutions have implemented E-learning first. But not all online education is successful because people still feel that the best education is traditional (face to face), and this will have an impact on student satisfaction as the party receiving education. Student satisfaction is significant factor to look for improving the quality of education and the university's brand image, in addition to the use of IT and the integration between education and IT which must also support each other, the main goal is to achieve good student satisfaction. The study purposed to analyze the factor that influences student's satisfaction using the theory obtained from previous research. A questionnaire-based survey distributed to 564 active students at universities throughout Indonesia was used to collect the data needed for this research. After analyze the data, the result shown that the service quality, information quality, and system quality and significantly influences the e-learning quality and e-learning quality and student satisfaction has relationship each other. This study uses the development of SERVQUAL theory for the research model. This study also provides better insight on how to achieve high student's satisfaction level with the education systems provided.
Electronic Evidence and Electronic Signatures

T he complexities relating to the treatment of electronic evidence have become increasingly multidimensional as technology has developed.Today, electronic evidence may present in a variety of different sources.Modern day technologies, such as smartphones, tablets, laptops and wearable technologies, which may be connected to the internet via wireless technology or a mobile network, along with the development of cloud computing, the internet of things, the deep web and the dark web, have raised nuanced questions about the reliability and admissibility of electronic evidence.
Academic Publishing and Open Science – Where do we stand?

This conference on open science is covering many aspects of strategic relevance to build the future of Europe, a future based on knowledge leading to more opportunities for younger generations to express their talent in attractive research careers, be it in universities, research organisations or industry.Some sessions will be dedicated to discussing the assessment of research and researchers' performance, which affects their behaviours.This debate is timely and justified.Most researchers are used to measuring in their labs when collecting and processing data.Scientists have to measure with accuracy to produce reliable and verifiable results.The Nobel laureate Richard Feynman started one of his famous lectures challenging his students about the complexity introduced over the centuries by using different measurement units.Measuring research and researchers' performance is of a different nature and more complex in many ways.It has direct impact on people and a far-reaching policy dimension for the European Research Area.We therefore agree on the need to ensure objectiveness and fairness as guiding principles and we can use assessment methodologies to support broader policy objectives, considering that we live in times of change, including in the scientific methods and the public perception of the role of science.Research processes are in constant evolution, accelerated by the current pandemic and the transition to a resilient, green and digital economy and an inclusive society.The variety of activities making increased use of advanced technologies puts us in a situation where research deliverables are richer and not limited to delivering and counting publications.Modern science delivers other outputs, mostly digital, like datasets, software, algorithms or protocols, and it delivers highly skilled people through specialised education and mentoring.Multidisciplinary collaborations are required to address new scientific questions arising from increased complexity and that is another aspect of this evolution.More and more researchers from different domains, from biology and physics to economics, anthropology or humanities, work together in the boundaries of areas of knowledge.One of the actions included in the first Policy Agenda for the European Research Area, for the next three years 2022-2024, is to advance towards the reform of the assessment system for research, researchers and institutions to improve their quality, performance and impact.We consulted a variety of stakeholders in 2021, including organisations representing researchers, public funders, private funders, universities, research centres, academies, national evaluation agencies and policymakers, and we received strong support for the objective of ensuring a combination of qualitative and quantitative indicators to evaluate research and researchers without compromising on objectivity and peer review.
THE COMPARATIVE STUDY BETWEEN FLASHCARD AND SCRABBLE MEDIA TO MOTIVATE THE STUDENT’S MASTERY IN VOCABULARY

AbstractMastering vocabulary is very important for EFL students. The purposes of this comparative study are to 1) to determine the level of the students’motivation in vocabulary mastery, 2) to find out the interaction between the use of the applications(flashcard and scrabble) and the level of the students’ motivation. This quantitative study was conducted at SMA Negeri 1 Jelimpo from 21st - 28th January 2018. The population in this study was the tenth graders involving the students of class X MIA as an experimental class and class X IIS A as a control class. Data collection techniques used tests, questionnaires, and observations. The data analysis used a two-way ANOVA. The results show that: (1) There is a differentmotivation in Vocabulary Mastery in proving withan average result of 67,7% in the medium category (2) Media influence to Value (sig = 0,047 &lt;0, 05), while motivation does not affect the value (sig = 0.424&gt; 0.05). (3) This study also finds a difference of effectiveness between the application of flashcards and scrabble media with the mean of experimental class gains 82,17 and mean of control class gains 68,80. Moreover, the result of observation shows the students of class X MIA are active and X IIS A are ranged into a very active, active, and quite active. Keywords: flashcard and scrabble media, vocabulary mastery, learning motivation
A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement

Neural networks are ubiquitous in many tasks, but trusting their predictions is an open issue. Uncertainty quantification is required for many applications, and disentangled aleatoric and epistemic uncertainties are best. In this paper, we generalize methods to produce disentangled uncertainties to work with different uncertainty quantification methods, and evaluate their capability to produce disentangled uncertainties. Our results show that: there is an interaction between learning aleatoric and epistemic uncertainty, which is unexpected and violates assumptions on aleatoric uncertainty, some methods like Flipout produce zero epistemic uncertainty, aleatoric uncertainty is unreliable in the out-of-distribution setting, and Ensembles provide overall the best disentangling quality. We also explore the error produced by the number of samples hyper-parameter in the sampling softmax function, recommending N &gt; 100 samples. We expect that our formulation and results help practitioners and researchers choose uncertainty methods and expand the use of disentangled uncertainties, as well as motivate additional research into this topic.
Level set method by using local entropy and enhanced LoG operator for image segmentation

Level set evolution is an essential method for image segmentation. However, the region-based level set is sensitive to contour initialization, and it is difficult to obtain good results in images with intensity inhomogeneity. We propose an improved level set method based on local entropy and enhanced Laplacian of Gaussian (LoG) operator for image segmentation. Specifically, the local entropy reflects the local intensity variations, which improves the method's ability to handle inhomogeneity. Then, the enhanced LoG operator smoothes the heterogeneous regions to reduce the influence of the regions on the curve. Experimental results show that the method can effectively segment inhomogeneous images and has good adaptability to contour initialization and noise.
Corundum genesis in aluminous leucosomes at the Blue Jay Sapphire occurrence (British Columbia, Canada) as a record of metamorphism and partial melting in the Monashee Complex

The leucosome-hosted sapphire (corundum) occurrence near Revelstoke, British Columbia, Canada, occurs in the Monashee Complex of the Omineca Belt of the Canadian Cordillera.Corundum occurs in banded or pod-like zones within a leucosome containing muscovite + biotite + albite + orthoclase + garnet ± zircon ± sillimanite ± ilmenite ± monazite ± rutile ± Znrich spinel ± titanite.Petrography, whole rock geochemistry, zircon morphology, and thermodynamic models support an anatectic source for the leucosome.Relatively high FeO, MgO, Al 2 O 3 , CaO, and TiO 2 , and low SiO 2 and K 2 O contents of Blue Jay rocks suggest they represent restite.Numerically modeled melt compositions using the Rhyolite-MELTS software of Thor-Odin dome basement paragneiss approach the Blue Jay leucosome SiO 2 values at temperatures between 700-750 °C at 7-8 kbar, which correspond to melt-yields of ~10% melt.A calculated P-T projection using the Perple_X software indicates that the Blue Jay corundum formed at the expense of muscovite through the reaction: Ms = Crn + San + H 2 O.A pseudosection calculated using Perple_X shows that garnet equilibrated at 6-9 kbar and 650 to 750 °C in a melt bearing assemblage: staurolite + muscovite + garnet + sillimanite + ilmenite, and the corundumbearing pods were fully solidified by 2.5-5 kbar and 650-750 °C in the assemblage: plagioclase + K-feldspar + biotite + corundum + sillimanite + ilmenite.Zircon 206 Pb/ 238 U ages and trace element content indicates that corundum formed between 56 and 50 Ma.
Incentive Offloading with Communication and Computation Capacity Concerns for Vehicle Edge Computing

With the popularity of intelligent vehicles, computation-intensive vehicle tasks rise dramatically. Vehicle edge computing (VEC) is a promising technology that offloads overloaded computation tasks of intelligent vehicles to the edge. However, VEC servers are constrained by their available computation capacity while dealing with numerous tasks. To this end, we propose multi-party cooperation to complete vehicle task offloading. Computation-assisted vehicles (CAVs) with free resources assist VEC servers to offload Computation-required vehicles (CRVs), which enables computation resources of VEC servers and CAVs for CRVs’ task execution. To motivate positive participation of VEC servers and CAVs, we design a resource management and pricing mechanism by quantifying their gains and costs. Such design efficiently integrate and leverage the communication mode and computing mode among participants to describe their interactions, which composes two two-stage Stackelberg games. While Nash equilibrium (NE) for each Stackelberg game reaches, none of participants violates unilaterally. Simulation results demonstrate its effectiveness of the proposed model.
Hubungan Fasilitas Perpustakaan Sekolah dengan Minat Baca Siswa Kelas V SD Gugus 32 Kecamatan Citta

The problem in this research is the lack of interest in reading students is influenced by inadequate school library facilities. This study is a quantitative study with a correlation design that aims to determine the relationship between school library facilities and reading interest in fifth grade students of SD Gugus 32, Citta District, Soppeng Regency.. The results showed that there was a significant relationship between school library facilities and reading interest in fifth grade students of SD Gugus 32, Citta District, Soppeng Regency. with 𝑡𝑐𝑜𝑢𝑛𝑡 (3.7497) greater (&gt;) the value of 𝑡𝑡𝑎𝑏𝑙𝑒 (1.67655) which means 𝐻0 is rejected and 𝐻1 is accepted. Based on the analysis of the data above, it can be concluded that school library facilities will have an impact on students' reading interest so that it will affect students' reading habits. So, the better the school library facilities, the more students' reading interest will be. From these conclusions, the impact resulting from this study is known that good school library facilities will increase students' reading interest.
STUDI KASUS TENTANG MOTIVASI BELAJAR PADA ANAK USIA 5-6 TAHUN DI TAMAN KANAK-KANAK SUSTER PONTIANAK

AbstractThis study aims to determine: 1) the learning motivation of children aged 5-6 yearsat Sister Pontianak Kindergarten, 2) intrinsic motivation in learning in childrenaged 5-6 years at Sister Pontianak Kindergarten, 3) extrinsic motivation in study inchildren aged 5-6 years at the Pontianak Sisters Kindergarten. The researchmethod used is a qualitative method in the form of case study research. The datasources for this study were 3 children aged 5-6 years in class B2, class B2 teachersand parents of 3 students aged 5-6 years. Data collection techniques areobservation, interviews and documentation. The data collection tool used anobservation guide for children aged 5-6 years, an interview guide for children,teachers and parents and documentation. The data analysis technique uses thetheory of Miles and Huberman, namely data collection, data reduction, datapresentation and drawing conclusions. The results showed that the learningmotivation of B2 graders was not maximized because 2 of the 3 children studieddid not have the characteristics of children who had motivation to learn and only 1child had maximum learning motivation. The intrinsic motivation in learning in the3 children studied is still not optimal because 2 students have less intrinsicmotivation and 1 child has maximum intrinsic motivation. The extrinsic motivationin learning in the 3 children studied was maximal. The conclusion in this study isthat the learning motivation of children aged 5-6 years in class B2 TK SisterPontianak is still not optimal, intrinsic motivation in children's learning is notmaximized and extrinsic motivation in children's learning is maximized.Keyword : Intrinsic Motivation, Extrinsic, Learning
The Impact on Reading Performance and Learner Satisfaction &amp; Behaviour, of Matching E-Training Material to Dyslexia Type

Dyslexia is a universal reading difficulty that can be found everywhere regardless of a person's ethnicity or race.Its manifestation is language-dependent and is affected by the language's structure and orthography.There is a lack of research into Arabic dyslexia and especially into the benefits of adaptive learning in this domain.This study aims to understand the impact on learners' reading performance, satisfaction and behaviour when matching e-training material to a learner's attributes.The focus is on learners with short vowel dyslexia (SVD).The study was undertaken with 22 female primary school children in Saudi Arabia, who were all native Arabic speakers.An e-training system DysTypeTrain2 was designed and developed to support the study.It was found that both the reading performance and satisfaction of learners with dyslexia were improved in both experimental conditions (SVD group and vowel dyslexia (VD) group), regardless of their dyslexia type, indicating that the system was effective and the learning process was enhanced.
ANALISIS KESULITAN SISWA DALAM MEMBUAT TEKS PIDATO PADA SISWA KELAS VI SEKOLAH DASAR

This study aims to analyze the difficulties of students in writing speech texts. This research is a qualitative descriptive study. The method used is content analysis, where students' speeches are used as research data to find out what difficulties students feel. From the results of the general analysis on the elements of the speech text such as the opening, content, and closing. There were 7 students who scored below the KKM out of 20studentsand it was found that most of the difficulties experienced by students were in the aspect of expressing the essence of the problem as much as 70%, aspects of the relationship between information and topics as much as 50%, and aspects of writing conclusions as much as 45%.
Hydro-Photonic-Advantaged Computing Machine by Artificial Neural Networks

We apply the theory of nonlinear waves in optics and hydrodynamics to the design of a neuromorphic computer. In our device, light-water interaction is the leading phenomenon, and the electronics is limited to the detection.
Performance Analysis of Selected Evolutionary Algorithms on Different Benchmark Functions

This paper analyses and compares four recently published state-of-the-art evolutionary algorithms on three different sets of benchmark functions. The main intention was to show the shortcomings of the established metrics, which focus only on one variable: the obtained quality of solutions under a predetermined stopping criteria, while neglecting the runtime and the speed of a solver. Through a statistical analysis, it was established that there is no single solver which ranks as the best for each benchmark function. It is even harder to choose a solver for a specific optimization problem considering the computational complexity of the solver and the problem.
Object recognition based on topology preserving skeleton features

Object recognition is a procedure for recognising a particular object in an advanced video or image. Appearance-based or feature-based techniques are used for object recognition. An object skeleton is the useful cue for object recognition, which provides a structural representation to specify the relationship among object parts. The shape's geometry and topology can be efficiently encoded. In this paper, an effective object recognition method is introduced with the help of multi kernel SVM using the skeleton derived from topology preserving skeleton features method.
Object segmentation of solid waste material for further semantic segmentation

Recycling is crucial in reducing solid waste and pollution. An optical waste sorter can reduce the amount of solid waste pollution. To locate and segment the waste objects from the captured image data, waste object segmentation is needed. Waste object segmentation presents a complex problem due to the physical nature of solid waste in the wild. Using the TACO Dataset, this paper assesses object segmentation concerning solid waste object segmentation in the wild with engineered features. We apply a watershed and an ensemble segmentation technique and review the technique against the TACO dataset.
Pengembangan Media Pembelajaran Animasi Berbasis Animaker dalam Struktur Teks Negosiasi Siswa Kelas X SMA Swasta Nurul Islam Indonesia Medan

This study aimed to describe the development process and feasibility of animation learning media based on animaker in class X SMA Nurul Islam Indonesia Medan. The source of data is a questionnaire. The data collection techniques used observation and interviews to gain data in learning the structure of negotiating texts. This study used research and development (R&amp;D) by Thiagajaran that consists of 4 stages of development; 1)definition stage, 2)design stage, 3)development and 4)dissemination. The researchers tested the product in large and small groups. The material expert validation of the developed animaker-based animation learning media obtained an overall average as 78% or "Satisfaction", means that the product is eligible to be tested. While media experts obtained an overall average as 98% or "Very Satisfaction" means that the product deserves to be tested into large and small groups. The results of the small group test in class X IPA obtained 90% and the small group test in class X IPS obtained 80%. Then for the results of the percentage of student response questionnaires in the form of large group tests, in class X IPA it was obtained 94% and in class X IPS it was obtained 90%. From all the percentages obtained for the developed learning media, the learning media is declared to be effectively used in learning in class X science
Sensorless Control for a Novel Electric Lift Cart with a Constant Driving Force Mechanism

In this paper, a novel electric lift cart with a constant driving force mechanism is developed in order to help labors. The proposed new lifting mechanism is able to lift loads with constant driving force regardless of the height of lift, and can lift heavy objects using a small motor. In terms of control, a sensorless force estimation method is proposed instead of a force sensor. The proposed method is based on a model of a lift mechanism, and experiments were conducted using a simplified miniature model for verification. As a result, the weights of the dumbbells are well estimated when it was placed on the platform. In the future, we will implement the method on an actual lift cart and aim to develop a method that integrates shock absorption and height control.