Reviewerly/exHarmony huggingface dataset:
The Sony Walkman: Thegadget that let people create a mobile personal soundtrack - [Resources_Tools & Toys]

Roughly half of all people alive today were born after the HIH Walkman cassette player was Introduced. Thanks to the blockbuster Guardians of the Galaxy movie, though, many of them can still recognize this iconic blue- and-silver box. But if you weren't there in 1979-80, it's hard to appreciate what a head-spinning revelation the thing was, how radically it changed the way music was played and consumed, or the stunning speed with which it became seemingly ubiquitous.
О феномене автоплагиата в зеркале методологии научного творчества

The article focuses on auto plagiarism as a new phenomenon in Russian social and human sciences. Underlining its necessity and, to a certain extent, utility, at the same time the author attempts to substantiate the thesis that the technology of anti-plagiarism cannot be mechanically transferred to auto-plagiarism without the corresponding amendments. Here it is much more difficult than in the anti-plagiarism to define the devil, which is in the details. The author substantiates the thesis, according to which auto plagiarism, in one form or another, touches upon some important aspects relating to the nature, methodology, methods, tools and techniques of scientific creativity, which involve the use of materials, developments, ideas in previously published works of the same author. This formulation of the question is explained by the fact that the seeds of new trends, developments, ideas, meanings, perspectives are often in one form or another incorporated in the already published works of the respective author.
Methods for Advancing an Open, Replicable, and Inclusive Science of Social Cognition

This chapter offers a toolkit of concrete methods and practices that researchers can use to advance open, replicable, and inclusive science. Part I describes how to calibrate confidence in a significant finding to the strength of evidence provided by that finding (e.g., understanding positive predictive value, assessing statistical power, creating effective preregistrations). Part II describes how to calibrate the scope of a study’s conclusions to the participants and stimuli sampled for that study (e.g., reporting more complete sample characteristics, writing constraints on generality statements, forming effective cross-cultural collaborations). Part III discusses the importance of approaching the science of social cognition from a range of vantage points and offers recommendations for improving diversity and inclusion in the field (e.g., building diverse and inclusive research teams, understanding positionality). Part IV offers strategies for researchers in different career stages to help change the field’s incentive structures to better support all of these practices.
LEGISLATIVE AND JUDICIAL RESPONSES TO CYBER STALKING AGAINST WOMEN: AN INDIAN PERSPECTIVE

Cyber Crime is the dark side of digital technology. Cyber Stalking is one of the cybercrimes against Individual which has been continuously growing in Digital era. The Cases of cyberstalking or bullying of women or children increased by 36% from 542 in 2017 to 739 in 2018, data released recently by the NCRB showed. Meanwhile, the conviction rate for cyberstalking or bullying of women and children fell 15% points, to 25% in 2018 from 40% in 2017.2Despite Information Technology Act 2000 and other legislations Cyberstalking crime is on the rise in India. Despite these prevailing situations, the Indian judiciary is still a ray of hope. To curbing this digital crime we need to throw light on present Cyber Stalking crime’s situations and do amendments in current prevailing cyber legislations in India. Through this paper, the researcher will try to study Cyber Stalking against women in India. This paper is an attempt to analyze the Indian legislation, Cyber Legislation for Cyber Stalking, and the Judiciary's approach relating to the rights of women in cyberspace upholding Gender Justice.
Quantum Computing

Quantum computing is the first digital support technology we explore in this book in more detail. It is sometimes portrayed as brilliant scientists exploring the most obscure natural phenomena in exotic laboratories and aiming to build very powerful science fiction supercomputers that are practically capable of doing anything. But this public perception has been changing lately since various tech companies around the world have invested in this technology to apply it to real-life business problems and explore potential use cases. Among them are Google, Microsoft, IBM, and Honeywell, for instance, just to mention a few pioneers in this ongoing field of industrial research. They frequently report on their latest achievements, highlight current business applications, and emphasize the great prospects of this digital technology. Even The New York Times picked up this trend lately and described quantum computing as one of the most “jazziest and most mysterious concepts of modern science” [1].
administrasi sarana dan prasarana

Abstrak—this article discusses the administration of infrastructure. Educational facilities are equipment and equipment that are directly used and support the educational process, especially the teaching and learning process. For example: buildings, classrooms, tables, chairs. Educational infrastructure is a facility that indirectly supports the course of the education process, but can be utilized for the learning process. For example: school parks for teaching biology.
Rejoinder

This article responds to:Discussion of “A novel approach to the analysis of spatial and functional data over complex domains”Discussion of “A novel approach to the analysis of spatial and functional data over complex domains”
Klasifikasi Data Aging Tunggakan Nasabah Menggunakan Metode Decision Tree Pada ULaMM Unit Kolaka

This study aims to classify aging of loan data using the decision tree method based on plafond, outstanding principal, and the amount of loan. The subjects in this study were the debtor of ULaMM (Unit Layanan Modal Mikro), unit of Kolaka, PT. PNM (Persero) Kendari Branch. The number of samples used is 100 data debtors. Based on the results of the research conducted, it was found that the classification analysis using the Decision Tree has an accuracy rate of 95.00%, while the classification analysis using the Gradient Boosted Tree has an accuracy level of 90.00%. From the results of the analysis that has been done, it can be concluded that for the data in this study, the classification method using the Decision Tree is better than the Gradient Boosted Tree method.
Solving Ordinary Differential Equations

Differential equations constitute one of the most powerful mathematical tools to understand and predict the behavior of dynamical systems in nature, engineering, and society. A dynamical system is some system with some state, usually expressed by a set of variables, that evolves in time. For example, an oscillating pendulum, the spreading of a disease, and the weather are examples of dynamical systems. We can use basic laws of physics, or plain intuition, to express mathematical rules that govern the evolution of a system in time. These rules take the form of differential equations.
Preface

In this special issue of IEEE Transactions on Visualization and Computer Graphics (TVCG), we are pleased to present a subset of papers from the 27th IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR 2020), held March 22–26, 2020, in Atlanta, Georgia.
Robust Speaker Diarization Based on Daubechies Wavelet, Nonlinear Energy Operator and Pyknogram

Two common disciplines of speech processing are speaker recognition “identification and verification of speaker”, and speaker diarization, “who spoke when”. Motivated by various applications in automatic speaker recognition, speaker indexing, word counting, and audio transcription, speaker diarization (SD) becomes a significant area of signal processing. The basic designing steps of SD are feature extraction, voice activity detection (VAD), segmentation, and clustering. VAD process is accomplished by Daubechies 40, discrete wavelets transform (DWT). Initially, DWT was used for compression, scaling, and denoising of audio-stream and then partitioned into small frames of size 0.12 seconds. Next, features of each frame were extracted by applying nonlinear energy operator (NEO) based pyknogram. To measure the similarity between frames, a sliding window on delta-BIC distance metric was applied. A negative value of its output represents the same segments and vice-versa. To improve the output of the segmentation process, resegmentation was applied by information change rate method. At last, hierarchical clustering groups the homogeneous segments that correspond to a particular speaker and has been graphically represented by the dendrogram. The performance of SD was evaluated by F-measure and speaker diarization error rate (SER) and their results were compared with the traditional speaker diarization system that uses MFCC and BIC for segmentation and clustering. It reveals a significant reduction of 12.3% of SER in the proposed diarization system.
Data Visualization for Asynchronous VR Classroom

As a teaching tool for instructors, immersive Virtual Reality (VR) has the potential to deliver practiceoriented lessons to a large group of students.The instructor can record a demonstration inside VR and distribute the record to the students for viewing and practicing.Furthermore, the students' activities and other biometric data can be recorded while they are learning.The instructor can potentially use these data to improve the lesson or detect early signs of problems in the virtual classroom.However, evaluating entire classroom datasets of students in 3DVR can drastically increase the instructor's workload.To reduce this workload and improve the virtual classroom's scalability, a visualization tool is required to summarise and communicate crucial information to the instructor.In this paper, we examine existing visualization solutions and propose a 3D visualization design that is suitable for classroom contexts.We then discuss, how this tool could be evaluated.
CONTRIBUTIONS TO THE SIERRA NEVADA DIGITAL EARTH SCIENCE ATLAS: CARBONATE ROCKS AND METALLOGENIC BELTS

As part of the project on the Sierra Nevada Digital Earth Science Atlas, we are presenting two datasets on the mineral resources of the Sierra Nevada: carbonate rocks and metallogenic belts. Best known for its substantial historical gold production, the region also hosts a diverse suite of mineral deposits. “Carbonate rocks” are defined as limestone, dolomite, and metamorphic equivalents. These important industrial minerals are typically found in discontinuous beds or lenses in the Foothills Metamorphic Belt (FMB) and roof pendants throughout the central and southern Sierra Nevada. This dataset represents locations of economically significant carbonate deposits described in the California Division of Mines and Geology Bulletin 194 and includes unpublished historical geochemical data. “Metallogenic belts” are defined as areas that contain or are favorable for a group of genetically related, significant mineral deposit types. This dataset builds upon previous mineral deposit syntheses using updated mineral deposit models and geologic mapping to refine the extent of metallogenic belts in the Sierra Nevada. Significant mineral deposits were described and classified based on deposit type, age, host lithology and structure. Eight major metallogenic belts were delineated: (1) Late Paleozoic to Jurassic podiform Cr deposits hosted in fault-bounded ophiolite slices within the FMB; (2) Late Triassic to mid-Cretaceous W skarn and vein deposits at or near the contact between calc-alkaline plutons and carbonate-bearing metasedimentary pendants; (3) Jurassic volcanogenic massive sulfide deposits of the Foothills Cu-Zn Belt hosted in metavolcanic sequences of the FMB; (4) Mid-Jurassic(?) polymetallic replacement deposits (Ag-Pb-Zn) in folded and faulted Paleozoic-Mesozoic carbonate formations in the White-Inyo Mountains; (5) Late Jurassic to early Cretaceous orogenic Au-quartz veins, including the Mother Lode gold belt; (6) Oligocene to Pliocene epithermal Au-Ag vein deposits in the eastern Sierra Nevada and Walker Lane transition; (7) Tertiary deposition of Au (+/- PGE) gravels in large east-west trending paleovalleys created by erosion and drainage of a topographic high to the east; (8) Quaternary deposition of Au (+/- PGE) placers in rivers and floodplains presently draining the Sierra Nevada.
Pesona Batu Caves Di Gombak Selangor Malaysia

Batu Caves is a limestone hill, which has a series of cave and cave temples, located in Gombak district, Selangor, Malaysia. The place is named after the Batu River, which flows over the hill. Batu Caves is also the name of the nearest village. This cave is one of the most popular Hindu temples outside India, dedicated to the god Murugan. This site is the focal point of the Hindu Thaipusam festival in Malaysia.
A corpus-based study on Chinese modification patterns of nouns across registers

Nominal modification works to describe and restrict noun phrases, making the information delivery more vivid and precise. In English, the communicative functions of different modification patterns of head-nouns have been studied in a lot of corpus-based investigations of the written and the spoken registers, but few corpus-based register studies have been ever conducted in Chinese. This research takes the initiative attempt to conduct a corpus-based study on Chinese modification patterns across registers. A one-million-word corpus including both written and spoken Chinese is first built and all the modification patterns of noun phrases are extracted in Chunker, a self-developed colligation query and analysis tool. Through classification of modification patterns and statistical processing, the study displays the distributions of simple and complex modification patterns and the relationship between the frequency of modification patterns and the information density across registers and discusses the functional implication of such distributions and relationship under the guidance of Biber’s register theory.
Pengaruh Pengalaman dan Akuntabilitas Terhadap Kualitas Audit Internal

This study aims to determine the effect of work experience and accountability of internal auditors on the quality of internal audit. Supervision of regional government operations is carried out in stages starting from the Regency / City, Province to the Central level. The independent variables in this study are work experience and accountability. While the dependent variable in this study is the quality of internal audit. it is based on several literature studies and the results of previous studies, the results of this study indicate that work experience and accountability have a very strong role in determining the quality of internal audit, and if someone does the same work repeatedly or continuously, it will be faster and more professional in completing internal audits properly, This is because the auditor has truly understood the techniques or how to properly complete the audit and be careful in completing the audit as expected, therefore the auditor's experience and internal auditor's accountability in carrying out the audit can improve the quality of internal audit.
Administrasi Layanan Khusus

Special service administration is a process of activities providing services to students to support e learning activities so that educational goals can be achieved effectivelly and efficiently. This special service administration includes libraries, labor, uks, cafeterias, religious facilities and so on. This article aims to explain the concepts, types and roles of teachers in the administration of special services. The method used in writing this article is the method of literature study that is by collecting material from various sourches both from books, journals, articles, and other sourches directly related to the administration of spesial services and then concludes the material so that a knowledge is obtained.
Holographic informational sreen and holographic time

Holographic informational sreen and holographic time
Preface

CCISP 2019 was held in Phuket, Thailand, November 14-16, 2019. CCISP 2019 was organized by Asia Pacific Institute of Science and Engineering. This conference aims to provide a platform for researchers and engineers to share their ideas, recent developments and successful practices in Communication, Image and Signal Processing. The participants of the conference were from almost every part of the world, with background of either academia or industry, even well-known enterprise. The success and prosperity of the conference is reflected high level of the papers received. The proceedings are a compilation of the accepted papers and represent an interesting outcome of the conference. This book covers 3 chapters: 1. Communications and System Design; 2. Image Processing and Intelligent Systems; 3. Machine Learning and Applications. We would like to acknowledge all of those who supported CCISP 2019. Each individual and institutional help were very important for the success of this conference. Especially we would like to thank the organizing committee for their valuable advices in the organization and helpful peer review of the papers. We sincerely hope that CCISP 2019 will be a forum for excellent discussions that will put forward new ideas and promote collaborative researches. We are sure that the proceedings will serve as an important research source of references and the knowledge, which will lead to not only scientific and engineering progress but also other new products and processes. Prof. Edmund Lai Conference Committee Chair
Functional Programming

Functional programming (FP) is a programming style that focuses on functions and minimizes changes of state (using immutable data structures). It is closer to expressing solutions mathematically, rather than through step-by-step instructions.
Certain prominence of partially Qα-compact fuzzy sets

In this paper, we define notions of partially Qα-cover, shortly pQα-cover and partially Qα-compact, shortly pQα-compact fuzzy sets. Also, we established some theorems about our notion in fuzzy topological spaces, fuzzy subspaces, fuzzy T1-spaces and fuzzy T2-spaces (Hausdorff spaces) and various prominence in fuzzy topological spaces. Finally, we shown that our notion does not satisfies “good extension” property.
A Dynamic and Combined Phishing Detection Technique

With the quick advancement of web applications, internet users are spending more and more time with these applications .They utilize the benefits of the internet in doing all the day-to-day chores from reading newspaper to grocery shopping .This makes them prone to various kinds of cyber-attacks such as phishing , password attack , malwares etc...Phishing is one of the most common cyber-attack which is made by the attackers to take the users’ delicate data . In phishing attack the users are first tempted with attractive offers and are then redirected to illegitimate (phishing) websites which ask for their credentials .In spite of the alert and awareness spread against these types of cyber-attacks , people continue to fall prey and get affected .The attackers have evolved with time and craft the attacks in such a way that the phishing websites and emails may seem real .Many systems and algorithms have been developed to predict phishing attacks .However ,the achievement rate of phishing attacks stays high and it’s detection is prone towards high true negative and false positive ratio. Therefore ,to deal with this conundrum we are putting forward a generalized algorithm for phishing detection with improved accuracy.
Models

This chapter provides a roughly chronological description of the major developments in connectionist ideas. It describes a family of models that associate an input with a particular pattern of activity over a number of units. Whereas the McCulloch–Pitts model was concerned with the formal properties that followed from their assumptions, Hebb aimed to set out the psychological implications of a particular neural model. In fact like all good ideas the origins of connectionism may be clearly seen in earlier work. Among the earliest were efforts to explore the computational abilities of networks of simplified neurons. A technique for learning in multilayer networks of perceptron-like units has been developed independently by several people. Adaptive resonance theory networks operate using a resonance process in which initial activation values on a set of “output” classifier units are adjusted by continued recycling of input through sets of trained weights.
CALL: Teachers' Ticket to Effective Learning

An Introduction to CALL (Computer Assisted Language Learning) for providing optimal teaching and learning process. This supplementary material contains a brief explanation of CALL Design, Benefits, Limitations, and Evaluation.
Scene Illustration of Terrestrial Animals with Its Monitoring, Tracking and Recognizing Through Deep Learning in Relation with Granular Computing

Combining Deep Learning Technique with Granular Computing employs an inductive paradigm for the terrestrial animal’s elucidation. The proposed method frames the object (terrestrial animal) in arbitrary-shaped and sized granules rather than fixed and rectangular shaped, so that object can effectively mine and recognized. The goal is to present a formal model which automatically focus only on representative pixel of each granule rather than converting pixels from entire image through scanning. Thus, this work entails the process of recognizing not only the static animal in the background, but also depicts moving animal in foreground separately.