Reviewerly/exHarmony huggingface dataset:
Geochemical signatures of recent bar deposits in the Tista river, Bangladesh: Implications to provenance, paleoweathering and tectonics

Petrography and geochemical composition of sediments is a sensitive indicator which archives the signature of a previous record of a source rock and depositional environments in a basin. This study deals with the elemental geochemistry of recent bar deposits of the Tista river in the north western part of Bangladesh to evaluate their provenance, paleoweathering and tectonic setting. Petrographically, the sediments are rich in quartz (70%), whereas feldspar and lithic fragments are found about 8% and 3%, respectively. The geochemical composition of the samples exhibits dominantly quartzose litharenites with low grade sedimentary and metasedimentary lithics, low feldspar indicates tectonic provenance field of recycled orogeny. Discrimination functions revels that the sediments of the Tista river are the derivation of active continental margin. The analyses also reflect that the sediments are dominantly a mixture of felsic (e.g., granitic/Gneiss, quartzite, amphibolite, granulite facies rock types) and some of mafic source (e.g., alkali-basalt/greenschist facies). It may occur, since 60% of the sedimentary flux carried out by the river from low-grade metamorphic rock and the rest from high-grade rock (in the west and north Sikkim Himalaya respectively). The weathering indices highlight that the source rocks have not undergone significant chemical weathering. The immature sorting status and petrographic evidences indicate that the sediments deposited in the Tista river basin are simply the product of mechanically weathered rocks.
Blockchain Forks: A Formal Classification Framework and Persistency Analysis

Blockchain forks can have severe economic implications, sow uncertainty and undermine trust. In this paper, we introduce a formal framework to study the emergence, persistency and economic consequences of blockchain forks. We argue that blockchain forks can be process- or protocol-based and emerge unintentionally or deliberately. We then proceed with a sub-classification of protocol-based forks and study the circumstances under which a chain split may become permanent. It can be shown that the persistency of a fork depends on the nature of the change to the consensus rules and on the relative allocation of the consensus-relevant resources. Lastly, we discuss business implications as well as potential consequences for policy makers and practitioners.
BIG DATA SECURITY ISSUES IN NETWORKING

As of now with the advantages of big data in many fields like Business, E-Commerce, Social Media, networking and so on, approach in this paper concentrates on security issues which our future is going to face if they are not encountered today, especially in security of public, private data. Data may be available publically to all or it may be some confidential known to very few systems or persons. Big data technology makes use of massive datasets being flown through social media websites and many other sources, analyses it and make pro-intelligent decisions i.e., immature output that is not completely accepted it may violate the privacy concern of a company or system or it may be an individual. So it’s our today’s responsibility to maintain data confidentiality and data integrity together so that we will not face such problems in future. We propose some of important, major security issues that will emerge today or tomorrow.
Should Blockchain be added to the Accounting Curriculum? Evidence forma Survey of Students, Professionals and Academics

Blockchain is quickly emerging as a technology that could transform accounting as we know it. As with any new technology, accounting academics must assess if the instruction of this new technology should be added to the curriculum. This paper sheds light on this topic through a series of surveys given to professionals, students and academics in an effort to understand expectations of studentâ€™s knowledge of blockchain. Our study provides evidence that professionals expect students to have a basic understanding of blockchain yet they do not have this knowledge despite showing an interest in learning about blockchain. Professors also believe students should have this knowledge yet some institutions have failed to add it to the curriculum. For those institutions interested in adding blockchain to their curriculum, this study provides support for adding this content to an AIS/Systems course, which may be easier to implement at the graduate level.
A matching algorithm based on the topological structure of feature points

Random Sample Consensus (RANSAC) algorithm is an iterative method to estimate the parameters of the model in a data set that includes outliers. It’s an uncertain algorithm with a certain probability to get a reasonable result. To increase the probability when the proportion of outliers in the sample data set is unchanged, the number of iterations needs to be increased. In application, too many iterations will have a great negative impact on the speed of algorithm execution. This paper presents a deterministic algorithm in 2D feature point matching, which solves the defect that the number of iterations of RANSAC algorithm is uncontrollable. Firstly, the similarity of feature point descriptors is used to calculate the unidirectional optimal matching (UNOM) point pair of the registered and input images. Secondly, the bidirectional optimal matching (BIOM) is calculated based on the two UNOM sets. Of course the BIOM set includes outliers. Then, calculate adjacency matrix and connected subgraph between BIOM point pairs. Eliminat the unsuitable point pairs in the connected subgraph and the remaining point pairs are considered to be correct data. Finally, use these point pairs to calculate the homography matrix with the least square method and make global accurate matching. Results of experiment show that the algorithm in this paper can get better matching results in a significantly shorter time, since it can directly calculate suitable point pairs without iterative selection.
PERENCANAAN SUMUR RESAPAN DAN PENGENDALIAN LIMPASAN DI WILAYAH SWAKARYA KELURAHAN SUKOREJO KOTA PAGAR ALAM

The infiltration well will have the effect of reducing surface runoff. The rainwater that initially falls on the tile surface does not immediately flow to the drainage or yard of the house, but flows through zinc and continues to be collected into the infiltration well. The impact that can be felt is that rainwater does not spread into the yard or ditch, thereby reducing the occurrence of surface runoff. The purpose of this study way to calculate runoff discharge in the Swakarya area and plan the need for infiltration wells in the Swakarya area. Frequency method used the normal distribution method of gumbell distribution and log normal distribution. From the compatibility test using the Smirnov-Kolmogorov test, the results obtained were used the Gumbell method, while the value obtained war 131.10 mm with a period of 10 years. From the analysis, it rould be concluded that the planned flood discharge with a period of 10 years in the self-workshop area was 0,0001m3 / sec. The need for infiltration well for the self-contained area of ​​each housing unit requires an infiltration well with a diameter of 1 m and a depth of 0,625 m. Each infiltration well could accommodate a capacity of 0,639 m3
Analisis SWOT Mobile Dictionary Pleco dan Hanping Lite

Penelitian berjudul â€œAnalisis SWOT Mobile Dictionary Pleco dan Hanping Liteâ€ dirancang sebagai pedoman pengguna untuk menentukan Mobile Dictionary yang sesuai dengan kebutuhan dan bertujuan untuk mengetahui analisis SWOT pada Mobile Dictionary Pleco dan Hanping Lite yaitu (1) mengetahui Kekuatan dari Mobile Dictionary Pleco dan Hanping Lite, (2) mengetahui Kelemahan dari Mobile Dictionary Pleco dan Hanping Lite (3) mengetahui Peluang dari Mobile Dictionary Pleco dan Hanping Lite (4) mengetahui Ancaman dari Mobile Dictionary Pleco dan Hanping Lite. Penelitian ini menggunakan deskripsi kualitatif metode observasi, studi dokumentasi dan wawancara dengan tiga tahapan, yaitu (1) potensi dan masalah, (2) pengumpulan data, (3) Analisis SWOT. Hasil analisis SWOT menunjukkan bahwa meskipun Mobile Dictionary Pleco dan Hanping lite adalah kamus sejenis, kedua aplikasi Mobile Dictionary ini memiliki kelebihan dan kekurangan masing-masing.Thesis entitled â€œSWOT Analysis of Mobile Dictionary Pleco and Hanping Liteâ€ compiled as a guideline for users to determine which mobile dictionary according to their needs and has the aim to view the SWOT analysis on a mobile dictionary pleco and hanping lite, specifically (1) knowing the strength of mobile dictionary pleco and hanpling lite, (2) knowing the weakness of mobile dictionary pleco and hanping lite, (3) knowing the opportunity of mobile dictionary pleco and hanping lite, (4) knowing the threats of mobile dictionary pleco and hanping lite. The method used in this research is descriptive qualitative, research using documentation and interview with three steps, (1) potency and problem, (2) collecting data, (3) analysis SWOT. The result from the SWOT analysis shows that even though mobile dictionary pleco and hanping lite are similar dictionaries, the two applications have their respective advantages and disadvantages.
Visualization of Big Data Text Analytics in Financial Industry: A Case Study of Topic Extraction for Italian Banks

Textual data and analysis can derive new insights and bring valuable business insights. These insights can be further leveraged by making better future business decisions. Sources that are used for text analysis in financial industry vary from internal word documents, email to external sources like social media, websites or open data. The system described in this paper will utilize data from social media (Twitter) and tweets related to Italian banks, in Italian. This system is based on open source tools (R language) and topic extraction model was created to gather valuable information. This paper describes methods used for data ingestion, modelling, visualizations of results and insights.This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
OPTIMASI AERODINAMIKA BODI MOBIL HEMAT ENERGI KEN DEDES ELECTRIC EVO 3 MENGGUNAKAN METODE COMPUTATIONAL FLUID DYNAMICS (CFD)

Aerodynamics is a branch of science that discusses the movement of an object in the air. Aerodynamics comes from the words aero = air and dynamics = force of motion. The study of air forces is a branch of fluid mechanics. This study is a continuation of the study of hydrodynamics, where the science of the motion of air has a close relationship with other sciences. Physics, mathematics, mechanics, meteorology and others are branches of science that are closely related to aerodynamics. Where in the science of aerodynamics, it discusses the principle of stationary air, specifically about the changes experienced by the air when there is a change in geometry. In this study, CFD analysis was carried out to inspect and optimize the airflow through the energy-efficient car body "Ken dedes Evo 3" Malang State Polytechnic to participate in energy-efficient car competitions by following the regulations and packaging requirements in energy-efficient car contests. The aerodynamic analysis of the energy-efficient car was carried out using the ANSYS simulation software. This aerodynamic research aims to reduce the drag coefficient and lift coefficient of energy-efficient cars. In the end, the energy-efficient car Ken Dedes Electric Evo 3 has an improved drag coefficient of 0.03 and a lift coefficient of 0.034. This is obtained from the simulation only on the car body.
Rediscovering past narrations: The oral history of the Romanian language preserved in the National Phonogram Archive

This article examines the concepts of colonial and migrational anxiety by discussing North American accounts of experiences on wagon trains in the mid-nineteenth century. The focus is on the personal accounts of emigrants across the plains contained in travel diaries and private correspondence. This study aims to identify markers of anxiety identified in a hitherto unexplored primary corpus by discussing these signifiers in terms of discourses which were constructed to mask the realities of the migrational process. The study will draw on the theoretical basis of colonial anxiety in South Asia, discussed by scholars such as Homi Bhabha, Edward Saïd and Ranajit Guha in order to draw parallels between the two contexts. Through the examination of North American wagon train experiences in this way, it will be argued that their role was both colonial and migrational, and should thus be seen as a point of intersection for colonial and migrational anxiety.
IMPROVING THE LOVE OF READING OF CHILDREN IN REMOTE AREA THROUGH CHILDREN’S BOOKS

Reading plays an important role to help people develop their knowledge and broaden their horizon. This research focuses on the children reading motivation in remote area. Two hundred and six children are involved in this study. They are grouped into experiment and control group. The experiment group was given children’s books in order to improve their reading motivation. To know the improvement, this study used questionnaire by Wigfield and Guthrie to be analized through SPSS 20. The result shows that children in the experiment group are more motivated than the control one. Based on the Mean result, there is significant improvement between pre and post test in experiment group; 67.53 to 81.42. In the same line, the result of Tcount 26,747 > t tabel 1,986, it means there is significant difference between pre and post result. Meanwhile, The mean of Control group is not significant improvement; 68.08 to 68.05. Control group also has Tcount 1,731 < Ttabel 1,986 that means there is no significant difference between pre and post result. It can be concluded that children’s books are useful to improve the children’s reading motivation or the love of reading in remote area.
Creativity and ownership: Protection of rights in musical works in the European Union from digitisation to artificial intelligence

Even more than intelligence, creativity is considered as a quintessentially human capacity. The same conclusion is fully applicable to the artistic creation in music sector. However, rapid technological development is constantly challenging not only the creative process as such, but also the legal instruments intended to protect the results of intellectual and artistic work. The first part of this article examines the provisions of the new EU Directive 2019/790 dedicated to online content-sharing service providers and fair remuneration of authors/performers, while its second part maps the main challenges the development of artificial intelligence imposes to the protection of rights in musical works.
Smart Glove-Turns Sign Language into Text and Speech

ABSTRACT Sign language is the only way to communicate with deaf and mute people. About 9 billion people in the world are either deaf or dumb or both. To fill the communication gap between normal and impaired person, inspired us to propose this project SMART GLOVE – Turns Sign Language into Text Speech, which would be able to serve as a best friend to these people. The primary goal of this paper is to design and implement a low cost wired interactive glove, which is easy to use, light weight, and also can minimized hurdles for impaired people so that they also stand with a race. Hand gesture, facial expression and body language are used to convey the message. This paper proposes approach of interpreting sign language into smart glove. These systems consisting of flex sensor and accelerometer. Flex is used on each finger to sense gesture. This system consists of a speech synthesizer which converts their gestures into speech and also display text for the respective sign.Therefore, this device provides efficient way for deaf and dumb people to communicate with the world. Keywords: Flex Sensor; Accelerometer; Arduino Uno; Global Positioning System (GPS); Global System for Mobile (GSM); ISD 1820 Cite this Article: Yash Srivastava, Shruti Sachan, Sibte Haidar, Ranu Sharma. Smart Glove-Turns Sign Language into Text and Speech. International Journal of Digital Electronics. 2019; 1(1): 7–11p.
Multi-target Image Detection Using Pigeon-Inspired Optimization based Species Mechanism

Multi-target detection (MTD) has a wide range of applications in target recognition, visual tracking, and other fields. The task of MTD is to find the sub-image set with the highest matching degree using the template image set from the source image. Therefore, this problem can be mapped to a multi-modal optimization problem. This paper combines the modified pigeon-inspired optimization (PIO) and species-based mechanism to perform multi-template matching tasks. To enhance the performance of our proposed method, the PIO is modified as follows: (1) the fitness of the seed is chosen as the switch signal of the map and compass operator and landmark operator; (2) in landmark operator, the halve mechanism is removed and a perturbation factor is introduced to enhance the exploration and exploitation ability. The species-based mechanism is utilized to search for multiple extreme points in parallel with multiple subpopulations. In addition, an expel mechanism is proposed to avoid the unnecessary fitness evaluation around the detected optima. Simulation results demonstrate that our proposed method performs better in detection accuracy and efficiency.
Peningkatan Kemampuan Menulis Fabel Menggunakan Model Pembelajaran Example Non Example pada Siswa Kelas VII SMP Negeri Muara Beliti

The purpose of this study was to describe the improvement of the process and the results of the ability to write fables using the example non example learning model for grade VII.3 students of SMP Negeri Muara Beliti for the 2018/2019 academic year. This research is a classroom action research consisting of two cycles, namely cycle I and cycle II. The data collection methods used were the observation method and the fable writing assignment test method. Data analysis techniques are data reduction, descriptive presentation (narrative, visual images, tables) with a systematic and logical flow of presentation, and the conclusion of the results presented based on indicators of research success. The results showed that the example non example learning model could improve the quality of the process and the results of learning to write fables for seventh grade students of SMP Negeri Muara Beliti in the 2018/2019 academic year. This is evidenced by the increase in teacher activity in cycle I reaching 65.3%, increasing to 94.4% in cycle II. In the first cycle, student learning activities, namely 71.9%, increased to 81.3% in the second cycle.
Artistic and Textual Analyses of the Third Intermediate Period Coffins at the Denver Museum of Nature &amp; Science

Napoleon Bonaparte is often credited as the causal factor in the worldwide interest in mummy studies.During his 1789 invasion of Egypt, the emperor brought with him 100 scientists to document Egyptian society.Accounts from these studies, along with the discovery of the Rosetta Stone, fueled enthusiasm in the Western world for all things Egyptian and catalyzed an interest in artifact and mummy collecting.A corollary of this zeal was the development of the fashionable entertainment practice of "unrolling" ancient Egyptian mummies in the early 1800s.Thankfully, by the 1830s this practice was eclipsed by the more scientifically minded, such as medical doctors and burgeoning Egyptologists.These scientists continued "unrolling" but for the purpose of documenting anatomy, paleopathology, and mummification techniques (Dawson 1938;Moodie 1923;Murray 1910;Pettigrew 1834;Ruffer and Moodie 1921;Smith 2000Smith [1912]]).Two mummies and three coffins-the primary focus of the volume-emerged from these murky antiquarian practices; through a series of extraordinary events, archival research, and new technological applications, they stand prepared to tell and retell their stories.Relatively little was known about the two women who now reside at the Denver Museum of Nature & Science (DMNS).They lived in ancient Egypt, died in their thirties, were mummified and interred.We do not know where they lived or died, but by the early 1900s both the mummies and their associated coffins, as well
Videos on social networks and corporate blogs: analysis of the profiles of Catalan public libraries during the first month of confinement of COVID-19

The main objective of the article is to study the presence of videos in the social networks and corporate blogs of Catalan public libraries during the first month of lockdown (from 13 March to 14 April, 2020) It explores whether libraries created videos or shared them on social media, and defines their typology and the channel in which they were published A preliminary step is to determine whether Catalan public libraries were active on social networks during this period, before characterizing the kinds of content disseminated To carry out this analysis, an open access data set was created using inclusion and exclusion criteria and based on information held by the Catalan government: geographical data, the name of the library, and its social media profiles (Facebook, Instagram, Twitter and YouTube) and blogs To evaluate the publications, two types of content were defined (external and internal) A rating scale was created (A to D) and the videos were grouped into five types (interviews, tutorials, entertainment, reviews, and Live Streaming) Of the 507 records included, 372 (73 37 %) were active;of the 886 profiles analysed, 797 (89 95 %) were active, and of the 4,377 videos studied, the most frequently shared were entertainment videos (3,110, 71 05 %) The conclusions section highlights information on YouTube, Facebook and Twitter that show how the video format is used in Catalan public libraries
Search Engine Result Page Human Relevance Testing

Human Relevance Testing (HRT) of Documents is an established, well tested, and production level technique for measuring relevance precision. While a powerful method, it is expensive both in terms of time and human resources, even when done using the LexisNexis Search Test Framework tooling to automate the administration, display, and results computation. Because of the level of required resources, it is often not appropriate to use HRT Document testing for high level / reconnaissance / relevance analysis at the Search Engine Result Page (SERP) level, especially for mixed content type results. The authors present a pair of methods for performing Human Relevance Testing of Search Engine Result Pages (SERP), as gestalt result views, that allow for rapid evaluation of overall SERP quality. In both methods, a single set of queries is used to generate the SERP result(s). One method, based on examining a single pane view of a Search Engine Result Page (SERP) allows one or more Subject Matter Expert raters to evaluate the overall SERP relevance quality results against the query that generated the SERP result set. Various ratings schemes are provided, and a variety of metrics are generated based on the individual page and cumulative query set results. A second method, based on comparing control and test SERPs generated independently from different search engines, search algorithms, regressions, or other longitudinal groups is also presented. In that technique, both control and test SERPs are presented in a side-by-side comparison view. Independent ratings for each SERP are collected at the same time by one or more Human Subject Matter Expert raters. Various ratings methods and metrics are then computed to compile a set of individual and comparison metrics for SERP relevance.This presentation discusses the motivations behind the SERP relevance quality evaluation, and, using some initial case studies, will illustrate both methods and how they are integrated into the LexisNexis Search Test Framework. We will also share some discussion of lessons learnt and future directions for exploration.