Reviewerly/exHarmony huggingface dataset:
Perceiving space through sound: mapping human movements into MIDI

Gestural expressiveness plays a fundamental role in the interaction with people, environments, animals, things, and so on.Thus, several emerging application domains would exploit the interpretation of movements to support their critical designing processes.To this end, new forms to express the people's perceptions could help their interpretation, like in the case of music.This paper presents a novel algorithm for mapping human movements into MIDI music.The algorithm has been implemented in a system that integrates a module for real-time tracking of movements through a sample-based synthesizer using different types of filters to modulate frequencies.The system has been evaluated through a user study, in which several users have participated to a room experience, yielding significant results about their perceptions with respect to the environment they were immersed.
Characteristics of Stable Isotope Compositions (&lt;i&gt;δ&lt;sup&gt;18&lt;/sup&gt;O&lt;/i&gt; and &lt;i&gt;δ&lt;sup&gt;2&lt;/sup&gt;H)&lt;/i&gt; of Surface Water in Bengkulu City

0 0 1 334 1910 EOS 15 4 2240 14.0 96 800x600 Normal 0 false false false EN-US JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman";} Indonesia as an archipelagic country has a unique location and topography, and the El Niño-Southern Oscillation ( ENSO) is observed in this region, resulting in complex weather and climate variability. As a result, Indonesia including Bengkulu experiences regular natural disasters. Stable isotopes ( δ 18 O and δ 2 H ) have been used as natural tracers in solving water resources and water-related problems. The aim of this research is to investigate the variations of stable isotopes in Bengkulu City from three locations, namely Serut and Hitam Rivers and the Universitas Bengkulu (UNIB) lake, and to understand the hydrological processes in Bengkulu City. In this research, samples of surface water from Serut and Hitam Rivers and UNIB Lake in Bengkulu City were collected over five months between December 2018 and April 2019. Stable isotope compositions of these water samples were examined to understand the local hydrological processes. The result shows that the water samples are generally situated at the right side of Local Meteoric Water Line (LMWL) in δ 18 O and δ 2 H plot, indicating that water samples are more enriched in 18 O and 2 H as compared with the rainwater due to fractionation processes. The surface water samples define a local evaporation line with a slope of 6.536 while the LMWL has a slope of 7.848. This result indicates a significant evaporation effect on water bodies. Moreover, the slope of the regression line in all water samples was lower than the LMWL, in order of Serut River (7.696) &gt; Hitam River (6.851) &gt; UNIB Lake (6.436), indicating that UNIB Lake experienced more significant evaporation than river waters, resulting in enrichment in heavy isotopes. Serut River, one of largest river in Bengkulu City, which also plays an important role in flooding in Bengkulu City, has a regression equation similar to the regression line of rainwater (LMWL). It may be indicated that surface water from Serut River is strongly influenced by rainwater. Consequently, high amount of rainfall can affect the water level of Serut River, and can be associated with flooding. Therefore, long-term monitoring of stable isotopes is very important in the future to provide the pattern of changes in isotopic variation, particularly during flood and drought events as climate-disaster mitigation effort.
Monitoring with social media: Experiences from “integrating” WhatsApp in the M&amp;E system under sweet potato value chain

Abstract Dealing with multiple stakeholders in agriculture–nutrition projects often makes communication and the collection of quality, reliable, and low-cost data complex and challenging. Communication bureaucracies among stakeholders often lead to delay, distortion, or loss of information along the communication channel. Social networking platforms can facilitate communication and collection of real-time data useful for project monitoring. This article shares our experience in using the WhatsApp platform for communication and collection of additional monitoring data. A WhatsApp platform for project implementers from the ministries of health (100) and agriculture (52) from Bungoma, Busia, Homa Bay, and Migori counties Kenya was formed in September 2016 for sharing additional monitoring data in the form of photos, videos, and texts. Project monitoring-related costs reduced by 51% and collapsing reporting hierarchies reduced information delays, thereby saving time and communication challenges. A shared understanding among different actors on the project’s indicators, reporting timelines, and data collection guidelines improved the quality of continuous monitoring data. However, staff transfer and replacements called for the continuous induction of new entrants to the forum. WhatsApp is a compelling tool in project monitoring to mitigate communication challenges. It offers an opportunity to share information on one platform among different cadres, facilitating collective action in multisectoral approach projects.
Assessment of Heavy Metal Concentration in Soil Impacted Mining-Overburden in Enyigba, Abakaliki, Ebonyi State, Nigeria

This study assessed the concentration of selected heavy metals (Lead and Zinc) from surrounding soil of Royal Salt mining company, Enyigba in Abakaliki LGA, Ebonyi State. Soil samples were collected from nine (9) different locations at depths of 0-15 and 15-30cm. Two (2) samples were collected from each of the nine locations, making it total of eighteen (18) samples. Soil analysis carried out were particle size distribution, pH, available Phosphorus, total Nitrogen, Organic Carbon, organic matter, Calcium, Magnesium, Potassium, Sodium, exchangeable acidity, Aluminium, effective cation exchange capacity, base saturation and two selected heavy metals, Lead (Pb) and Zinc (Zn). Results shows that heavy metals were highest in soil around the disposal site of mine waste. The highest value of Pb and Zn was recorded on tailing down (TD) 14.82 and 25.33mg/kg at 0-15cm depth, 7.22 and 18.93mg/kg at 15-30cm depth respectively. The accumulation of Pb and Zn at the mining site (TD) may be due to mining activities, civil, industrial/anthropogenic activities going on around the site. This study recommends regular monitoring of heavy metal concentration in soil within the mining site and their disposal site in order to conform to international standards set by the WHO.&#x0D; Keywords: Abakaliki, Enyigba, Lead, Royal Salt Limited, Zinc
Impact of Technology on Modern Society—A Philosophical Analysis of the Formation of Technogenic Environment

The interaction between science and technology is highly relevant in recent times of global crisis accompanied by the revision of the ideological principles of universal culture.Modern technological advances and their broader application in human activities naturally lead to the formation of technical complexes.The growth of these complexes and the emerging technological connections between remote regions determine the interdependence of these formations and put forward the idea of a specific global technogenic environment.This paper is aimed to analyze the concept of technology and the technogenic environment and to show the importance of the philosophical aspects of the latter.This research is especially relevant as it facilitates the development of philosophy and the implementation of general scientific and national programs in the field of social and humanitarian research.Based on the past and current research in this field, a philosophical analysis of the formation of the technogenic environment was conducted, an impact of technological progress on modern society was explored.
Pengaruh Resolusi 3D CAD STL Pada Kualitas Geometri dan Dimensi (G&amp;D) Produk Pola Cor 3D Printer

3D printer is a rapid prototyping technology that has developed rapidly in this decade. 3D printers use STL files derived from 3D CAD drawings as input data for the processing. The purpose of this study is to determine the effect of the resolution of the STL file used on the quality of the geometry and dimensions of the product produced. This research was conducted by using 2 types of STL file resolution created with Autodesk Inventor. The results of this study are that there is an influence of the resolution of the STL file used on the quality of the geometry and dimensions of the product being made. the quality of the product geometry has different geometric shapes in the radius. Whereas in the aspect of the product dimension obtained a product dimension accuracy of 0.02 sampai 0.8 mm.
Improving Classifiaction Performance of Fetal Umbilical Cord Using Combination of SMOTE Method and Multiclassifier Voting in Imbalanced Data and Small Dataset

The umbilical cord is one of the important organs on the growth and development of the fetus in the womb.Umbilical cords are associated with an adverse perinatal outcome such as intrauterine deaths, preterm delivery, repetitive intrapartum fetal heart deceleration, operative delivery for fetal distress, meconium staining, and chromosomal abnormalities.Initial screening stages of the fetal umbilical cord are carried out by analyzing the coiling pattern of two umbilical arteries.In this study, we propose a relevant feature extraction for classifying this organ based on texture and morphological approach.However, this study is facing an imbalanced class problem, which leads to the inability of the traditional classifier to predict data in the minority class.To deal with the emerging issues, this study proposed a model by optimizing data and algorithmic levels using a combination SMOTE method and Multiclassifier Voting.At the data level, the SMOTE method is used to generate new synthetic data and to balance the skewed data distributions directly.Subsequently, the classification uses a multiclassifier method that combines several traditional classifier methods in making final decisions based on voting schemes.The first experiment was conducted on imbalanced and small size data with a total of 62 umbilical cord images from 3 classes namely hypercoiling, hypocoiling, and normalcoiling.The results showed the multiclassifier voting method was able to achieve the best results with an accuracy of 73%, average recall of 72%, and ROC of 48% compared to other classifier methods such as SVM, Random Forest, KNN, Naïve Bayes, and Decision Tree (C.45).However, all classifiers failed to predict the normocoiling class because of the limited amount of normocloing data in the trainning phase.Then the second experiment was carried out by adding synthetic data using the SMOTE method with the total data increasing to 111 images spread evenly in each class.The results show a combination of multiclassifier voting and SMOTE methods ultimately leading and produced higher performance than other classifiers, which yielded and accuracy of 81.4%, average recall of 80%, average precision of 81.5%, and ROC of 89.1%.
OPERATIONAL PIPELINE FOR A GLOBAL CLOUD-FREE MOSAIC AND CLASSIFICATION OF SENTINEL-2 IMAGES

Abstract. Global Earth observation from satellite images is an active research topic, driven by numerous applications, such as telecommunications, defence, natural hazard monitoring and urban management. The recently launched twin Sentinel-2 satellites acquire 13-band optical data with a 2–5 day revisit time, freely available for any use, and thus very valuable for global Earth observation. In this paper, we present a completely automatic operational chain for a global cloud-free mosaic and classification of Sentinel-2 images. The proposed pipeline enables producing the world 10-m cloud-free mosaic, and a 6-class landcover classification map.
Bipolar Abstract Argumentation with Dual Attacks and Supports

Bipolar abstract argumentation frameworks allow modeling decision problems by defining pro and contra arguments and their relationships. In some popular bipolar frameworks, there is an inherent tendency to favor either attack or support relationships. However, for some applications, it seems sensible to treat attack and support equally. Roughly speaking, turning an attack edge into a support edge, should just invert its meaning. We look at a recently introduced bipolar argumentation semantics and two novel alternatives and discuss their semantical and computational properties. Interestingly, the two novel semantics correspond to stable semantics if no support relations are present and maintain the computational complexity of stable semantics in general bipolar frameworks.
Computing Cores for Existential Rules with the Standard Chase and ASP

To reason with existential rules (a.k.a. tuple-generating dependencies), one often computes universal models. Among the many such models of different structure and cardinality, the core is arguably the “best”. Especially for finitely satisfiable theories, where the core is the unique smallest universal model, it has advantages in query answering, non-monotonic reasoning, and data exchange. Unfortunately, computing cores is difficult and not supported by most reasoners. We therefore propose ways of computing cores using practically implemented methods from rule reasoning and answer set programming. Our focus is on cases where the standard chase algorithm produces a core. We characterise this desirable situation in general terms that apply to a large class of cores, derive concrete approaches for decidable special cases, and generalise these approaches to non-monotonic extensions of existential rules.
Comparative Analysis of Steganography Technique for Information Security

Organisations need information security to reduce the risk of unauthorized information disclosure, use, modification and destruction.To avoid this risk and ensure security diverse solutions are available such as Cryptography, Steganography and Watermarking.Encryption changes the form of information but latter two hide records or watermark in some medium.This paper is an effort to explore one of the solutions i.e.Steganography.It is a mechanism of hiding secret information in text, image, audio or video carriers.Broadly, these are classified in various categories such as Spatial domain, Transform domain and Distortion Technique.This work intends to give an overview of above mentioned techniques in detail by comparing algorithms based on performance metrics such as Bhattacharyya Coefficient, Correlation Coefficient, Intersection Coefficient, Jaccard Index, MAE, MSE, PSNR and UIQI.After analysing the MATLAB simulation and comparison based on different performance metrics, LSB Substitution and Pseudorandom technique are best suited for generating highly matched stego image with respect to their cover image.
A (Simplified) Supreme Being Necessarily Exists, says the Computer: Computationally Explored Variants of Gödel's Ontological Argument

An approach to universal (meta-)logical reasoning in classical higher-order logic is employed to explore and study simplifications of Kurt Gödel's modal ontological argument. Some argument premises are modified, others are dropped, modal collapse is avoided and validity is shown already in weak modal logics K and T. Key to the gained simplifications of Gödel's original theory is the exploitation of a link to the notions of filter and ultrafilter in topology. The paper illustrates how modern knowledge representation and reasoning technology for quantified non-classical logics can contribute new knowledge to other disciplines. The contributed material is also well suited to support teaching of non-trivial logic formalisms in classroom.
Machine Learning Evaluation of the Requirement Engineering Process Models for Cloud Computing and Security Issues

In the requirement engineering phase, the team members work to get the user requirements, comprehend them and specify them for the next process. There are many models for the requirement engineering phase. There is a need to select the best Requirement Engineering model, and integrate it with cloud computing, that can give the best response to the users and software developers and avoid mistakes in the requirement engineering phase. In this study, these models are integrated with the cloud computing domain, and we report on the security considerations of all the selected models. Four requirement engineering process models are selected for this study: the Linear approach, the Macaulay Linear approach, and the Iterative and Spiral models. The focus of this study is to check the security aspects being introduced by the cloud platform and assess the feasibility of these models for the popular cloud environment SaaS. For the classification of the security aspects that affect the performance of these model, a framework is proposed, and we check the results regarding selected security parameters and RE models. By classifying the selected RE models for security aspects based on deep learning techniques, we determine that the Loucopoulos and Karakostas iterative requirements engineering process model performs better than all the other models.
APLIKASI MONITORING AKTIVITAS AKADEMIK MAHASISWA PROGRAM STUDI INFORMATIKA UNIVERSITAS XYZ BERBASIS ANDROID

Monitoring is a form of monitoring of the process of gathering and analyzing information based on an activity with the aim to find out and evaluate and take action on the errors produced.The use of technology has been widely used and applied to devices that can be used easily as well as smartphones.Data from the Ministry of Communication and Information 2018, there are more than 100 million people using smartphones, so that it can be considered in the use of technology.The purpose of this study is to produce an academic monitoring application on XYZ university informatics students who actively participate in academic activities or academic activities that will be used by student guardians.Information provided for student guardians in academic monitoring applications includes payment information, course values, lecture information to thesis.Based on the test results obtained functionality aspect of 95.83% stated the suitability of the function of the system and usability aspect of 94.79% so that it can be concluded that it is feasible to be applied to help monitor on XYZ university informatics students.
Mediating Role of Job Satisfaction in the Relationship Between Organizational Support and Job Performance

Organizational support is a vital component providing help to employees to perform, however, the support meant to be meaningful and make individual satisfied with the job.It becomes more specific in the hospitality sector, especially hotel industry being a service sector, in which the performance of the employees is directly linked to the customers satisfaction.Subsequently for business performance and sustainability.In this view, this study aims to examining the interlinkage of perceived organizational support, perceived job satisfaction and perceived job performance.In addition, it investigated the mediating effect of perceived job satisfaction to relationship of perceived organizational support and perceived job performance.This study adopts a quantitative approach and a sample of 200 hotel employees were approached, out of which 158 employees responded.Results indicates that perceived organizational support is correlated with perceived job satisfaction and perceived job performance.It suggests job satisfaction mediated the effect of perceived organizational support on perceived job performance.The study findings presented concrete evidence that perceived organizational support and perceived job performance can be strengthen when employee perceived a satisfaction with their job.Thus, perceived organizational support can strongly relate with achieving higher level of perceived job performance in hotel industry with mediations of perceived job satisfaction.The finding of current study can help administrators, particularly in hotel industry to find ways to use organizational support to increase job performance.
Smart Solution for STSP Semantic Traveling Salesman Problem via Hybrid Ant Colony System with Genetic Algorithm

Travelling Salesman Problem (TSP) is one of the main and famous problems in finding the shortest path.But life is not ideal, so in this paper, we proposed design a Semantic Travelling Salesman Problems (STSP).The STSP enhances nodes by suitable Ontologies according to a real problem to be more flexible.Also, we proposed a hybrid model (ACSGA) combining the ant colony system (ACS) with the genetic algorithm (GA).That is to speed-up convergence and finds an effective path of a Semantic Travelling Salesman Problem STSP.The performance of the proposed hybrid model ACSGA was faster by 66% than other standard algorithms.And the distance decreases by 0.72%.We apply the proposed solution to the real problem with challenges as traffic overcrowding and weather changeable.So, the proposed STSP in this paper used traffics and weather Ontology as a case study.The proposed method modified the results according to time which decreases by 2.3%.
Grade and tonnage model for tungsten skarn deposits—2020 update

First posted August 24, 2020 For additional information, contact: Eastern Mineral and Environmental Resources Science CenterU.S. Geological Survey12201 Sunrise Valley Drive954 National CenterReston, VA 20192Contact Pubs Warehouse This report presents an updated grade and tonnage model for tungsten skarn deposits. As a critical component of the U.S. Geological Survey’s three-part form of quantitative mineral resource assessment, robust grade and tonnage models are essential to transforming mineral resource assessments into effective tools for decision makers. Using the best data available at the time of publication, this represents the first attempt in nearly 30 years to capture current mineral inventory and cumulative production data for worldwide tungsten skarn deposits. The accuracy of modern assessments of undiscovered tungsten skarn resources is highly influenced by the use of current data on the distribution of the grades and tonnages of well-explored tungsten skarn deposits. Primary factors affecting the changes to these distributions in the model presented here compared with those of previous models are the inclusion of important deposits, especially those in China that had been omitted in previous models; expanded mineral inventories resulting from increased exploration; and changes to international reporting standards. These factors have resulted in dramatic increases in average ore tonnage and slight decreases in the average grade of tungsten skarn deposits compared with previous models. Large increases in contained metal are observed among many of the individual deposits incorporated within this model that were also included in previous tungsten skarn grade and tonnage models. This report also provides recommendations for input parameters related to grade and tonnage models to use with software tools designed to facilitate the three-part form of quantitative mineral resource assessments.