Reviewerly/exHarmony huggingface dataset:
STRUKTURA I SEMANTIKA, KOHERENCIJA I MREŽE – ŽIVI BIBLIOGRAFSKI SVIJET

This book is dedicated to Mirna Willer on the occasion of her retirement as an expression of gratitude for her outstanding contribution to the development of information and communication sciences, the development of various professional practices, and dedicated teaching and pedagogical work.Mirna started her career as a librarian at the National and University Library in Zagreb in 1978, and gained her first experience cataloguing legal deposits (Jugoslavica) and foreign books at the Book Cataloguing Department. Building on that experience, she became a systems librarian and then a library consultant for computerization. In these statuses, in the period 1980-2007 she was in charge of the development of library information systems of the Library and standardization. After successfully completing the incorporation of Croatian cataloguing rules into UNIMARC formats for bibliographic and authority data, she participated in their implementation in the library information system of the Library. In co-operation with the University Computing Center of the University of Zagreb (Srce), she encouraged and coordinated the establishment of the Croatian Web Archive (HAW - Hrvatski arhiv weba). Since 2007 she worked as a professor of Bibliographic Information Organization at the Department of Information Sciences at the J. J. Strossmayer University of Osijek and at the Department of Information Sciences at the University of Zadar. From 2008 until her retirement in 2018 she worked in undergraduate, graduate and postgraduate study programmes at the Department of Information Sciences at the University of Zadar.
11th New Frontiers of Antitrust Conference #3 Digital: What regulatory model for platforms?

3rd Webinar of the « 11th New Frontiers of Antitrust Conference » organised by Concurrences, in partnership with Analysis Group and Cleary Gottlieb, with Isabelle de Silva (President, Autorite de…
Blockchain system architecture, applications and research issues

Blockchain is a technological revolution from the centralized system to securely distributed system. It covers multiple scientific domains, including cryptography, distributed storage, consensus mechanisms, smart contracts and other technologies, establishing a new type of trust and incentive system, which greatly enhances transparency and reduces credit risk. In this chapter, our aim is to demonstrate a system architecture of blockchain system to provide a whole view of the blockchain system. Then we presented the function of each layer in the system architecture with details of how each layer contributes to the key features of the blockchain system. Furthermore, we provide some key blockchain applications to show its potential in improving the efficiency and security of social service provisioning. Finally, we discussed some key challenges that blockchain meets due to its inherent design. The solutions to address these problems require the active exploration and cooperation of all parties to jointly build a new digital society that is convenient and reliable.
Improving Students’ Meaningful Reading Aloud Skill using TTS Readers

This study aimed to improve students' reading skills with TTS Readers in 9F Class of SMP Negeri 1 Wonosari in the 2nd Semester of 2017/2018 Academic Year. The actions given were in the form of learning that emphasized loud reading activities facilitated by the TTS Readers application. This research consisted of two cycles with two meetings each. Research stages included planning, doing and observing, and reflecting. Data were taken through questionnaires and observations. The results of the questionnaire were tabulated and processed and then compared with the determined indicators to measure their improvement and achievement. Observation data were processed by calculating the percentage of the number of words that were correctly pronounced then compared with the indicators to find out the increase and achievement. The results of the study were the increase in students' reading aloud skills as evidenced by the achievement of indicators, namely the average of students who were included in the Frequent and Always category of 64.2% of the target of 50%. Classical mastery in achieving reading aloud skills was 62.5% in Cycle 1 to 100% in Cycle 2 of the minimum target which is formulated in the indicator of success of 75%.
A Probe into Patentometrics in Digital Humanities

Digital humanities (DH) is an interdisciplinary field that is improving humanities research supported by computer, network, and multimedia technologies. The development of DH requires strong technological systems, mostly related to patents. We apply patentometrics to probe into the related patent issues in DH and discusses the development of patent technologies such as virtual reality, ontology, 3D modeling, text mining, and GIS that affect the research of DH. We find that the international research on DH is not closely related to patent technology through citation analysis, though it shares disciplinary characteristics. The fluctuations of patent applications such as virtual reality, ontology, 3D modeling, text mining, and GIS are consistent with the trends of DH research. We reveal that the application of a related technical patent could promote the research of DH.
Self-publishing for the academic community

Writing and publishing a book has become essential in academic professions. Further those who are also active in the fields of literature, education, research and the arts wish to publish books. Till now publishing a book through traditional channels remained a difficult task. But now Self-publishing the book has become an effortless task with the assistance of digital technologies and the Internet. The academic community and other writers can opt self-publishing mode to publish books speedily and maximize the reach of publications to their expected readers. The paper introduces self publishing system with a focus on various approaches in self-publishing, its mertis and demerits and the different methods of self-publishing in the contemporary ICT environment.
Of knitting needles and surround sound

The author began his association with Dick Lyon in 1972 when he became a graduate student in the Acoustics and Vibration Lab at MIT. Their personal and professional relationship continued, on and off, through the mid 1990s. While early studies of outdoor sound propagation and transportation noise will be discussed, this presentation will focus primarily on their work together at RHLyonCorp in the study of vibration-induced failure mechanisms and in commercial product development, including early efforts in sound quality jury trials.
Plasmonic Effect Promoted Solar Water Splitting for Hydrogen Production

Introduction One of the most appealing way to develop clean energy and promote a low-carbon economy is by directly converting sunlight into storable chemcial energy as hydrogen via solar water splitting. This paper summarizes the mechanistic understanding of plasmonic enhancement for photocatalytic water splitting to promote its practical application. Method  A great deal of attention has been focused on the specific mechanism about the plasmonic effect during the photocatalytic water splitting reaction process, demonstrating the significant roles of plasmonic particles in enhancing sunlight absorption, exploiting entire solar spectrum, promoting photogenerated charge separation, increasing thermodynamic energy of charge carriers, as well as providing active sites for water splitting. Result  The recent advances and prospects for future developments regarding the promotion of plasmonic effect on solar water splitting for hydrogen production has been presented. Conclusion  Based on the plasmonic solar water splitting, great efforts on increasing the efficiency and stability of the photocatalysts are needed from researchers with different disciplines to make breakthroughs.
Pengaruh Model Bermain Peran Berbantuan Atribut Terhadap Hasil Belajar Ips Melalui Karakter Gotong Royong

This study aimsto determine the effect of the effect of role playing models attributes on social studies learning outcomes through the character of mutual cooperation. The approach of this study is used quantitative research by using experimental research. The population of this study was fourth grade of Elementary School. The method of collecting the data include tests and documentation. The instruments for tests consist of validity, reliability and difficulty level test. Data analysis that is consisted of normality, homogeneity and hypothesis. The hypothesis in this study is using the t-test. The results of this study indicate that there is an influence of the use of assisted role playing models attributes on social studies learning out comes of fourth grade of Elementary School. Based on the results of the hypothesis obtained a significance value (sig) of 0,001 < 0,05, then Ha is accepted and Ho is rejected.
Introduction: Research Sources in Software Documentation

This introduction is more academic: its purpose is to introduce the reader to the research activity that underlies the chapters that follow. Two unmistakable trends in software documentation emerge from the academic literature. The first trend is toward usability as the standard for software documentation. The second trend is toward online presentation (e.g., help messages, tutorials) as the preferred medium. The study of linguistics is valuable to software documenters because of the linguist’s focus on language and comprehension. Linguistics can tell us what variables affect the way people understand information conveyed by their native language. Research work in cognitive science is useful to the software documenter both as a source of insight into the user’s mind, and because theories in this area affect virtually all the technology of computers. Cognitive science tells us what variables affect the way people use underlying mental structures to understand information.
Clinical Presentations of Monoclonal Gammopathy Cases in A Tertiary Care Referral Centre of Bangladesh

Background: Monoclonal gammopathy are haematologic disorder characterized by abnormal production of one or more immunoglobulin clone. Accurate detection and quantitation of monoclonal immunoglobulins is important for diagnosis and management of monoclonal gammopathies.There are very few studies related to monoclonal gammopathy in Bangladesh. This study wasaimed to observe the clinical profile and immunoglobulin pattern of monoclonal gammopathy cases in a tertiary care referral center.&#x0D; Objective: This study wasaimed to observe the clinical profile and immunoglobulin pattern of monoclonal gammopathy cases in a tertiary care referral center.&#x0D; Methodology: This cross sectional study was conducted in the Department of Haematology, Armed Forces Institute of Pathology (AFIP), Dhaka Cantonment, Dhaka. Study Period was July 2014 to Dec 2014. Patients with the age between 40 to 70 yearsof both sexes who were diagnosed as cases of monoclonal gammopathies was selected as study population. All patients were interviewed by using standard questionnaire and general medical condition of the patients was evaluated through history taking, clinical examination and laboratory investigations. Bone marrow microscopic examination, serum protein electrophoresis, immunofixationelectrophoresis (IFE), skeletal survey and relevant biochemical tests including serum creatinine, calcium, albumin and urinary BJP were performed. Protein electrophoresis of the samples was performed by automated capillary electrophoresis machine.&#x0D; Results: A total of 30 cases were recruited for this study. Out of 30 monoclonal gammopathy cases, majority of cases 17(56.7%) were between 60 to 70 years age group. Mean age was 57.13(±9.66) years. Male were predominant 19(63.0%) and Male female ratio was 1.72:1. Among the patients, low backache and pallor was common in majority (80%) of the cases, while fatigue and fever were present in 73.3% and 70.0% cases respectively. Among the patients, 7(23.3%) were hypertensive, 6(20.0%) were diabetic, 3(10.0%) patients were suffering from CKD with hypertension, 3(10.0%) had bronchial asthma, 1(3.3%) was with hypertension and Diabetes Mellitus. Depending on different laboratory findings, among all the 30 cases, 21(70%) cases were diagnosed as multiple myeloma, 5(16.6%) cases were MGUS and 2(6.7%) cases were Smouldering multiple myeloma and kappa light chain multiple myeloma each. Among the multiple myeloma cases, 11(36.6%) cases had IgG Kappa monoclonal gammopathy and 6(20.0%) cases had IgG Lambda monoclonal gammopathy.&#x0D; Conclusion: Monoclonal gammopathy occurs predominantly in male population at around sixth decade and mostly are presented with fatigue and bone pain. Majority of the patients suffered from multiple myeloma.&#x0D; Journal of National Institute of Neurosciences Bangladesh, 2020;6(1): 19-23
관습화 과정에 따른 유의어의 비대칭적 사용 양상 탐색 -사과 표현을 중심으로 -

There are asymmetric usages of apologetic expressions in Korea, and those have in common in vocabulary meaning, but also don’t have in common specially in fields of discourse and ritual functions.This study aims at articulating the function''s differences about discourse marker and ritual by exploring the data from 15th century to 21th corpus. Given the asymmetric usage of the apologetic expressions, it is necessary to grasp their functions by locating them within larger syntactic structure, such as the conjunctive ending forms, and adjacency pairs.However the functions of these designating apology gradually changed in different discourse contexts, and were replaced by a new conjunctive ending by time.
A1_2 Seismic Superman

In this paper we introduce Superman’s new power, Seismic Shock. When he is shot at, he transforms the bullets’ energy into earthquakes which resonate with different building heights at different firing rates. It only takes thirty henchmen shooting to take down a high-rise building, while one and two storey buildings require roughly 200 - 800 henchmen.
EVALUATION OF COMPUTER NETWORK SECURITY BASED ON BACK PROPAGATION NEURAL NETWORK

As of late, because of the intrusion of infection and escape clauses, PC systems in universities and colleges have caused incredible antagonistic consequences for schools, instructors and understudies. So as to progress the exactness of PC organizes safety assessment, Back Propagation (BP) neural system remained prepared in addition fabricated. The assessment list in additionboard desires requirebe situated resolved dependent happening the master framework, through 15 auxiliary assessment list esteems engagedfor example info layer boundariesbesides the PC organize safety assessment level qualities engaged by means of yield layer boundary. Altogether information was isolated interested in knowledge test groupsin addition estimating test groups. The outcomes indicated that the structured BP neural system showed a quick intermingling rapidity besides the framework mistake remained 0.000999654. Besides, the prescient approximations of the system remained cutting-edge acceptable concurrence through the test consequences, besides the relationship constant was 0.98723. These outcomes showed that the system had an amazing preparing precision and speculation capacity, which adequately mirrored the presentation of the framework designed intended for the PC arrange security assessment.
Providing Data Access and Analysis Capabilities to SERVIR’s Data-Sparse Regions

In developing regions of the world, the communications infrastructure pose enormous challenges for using Earth observation data. Limited internet bandwidth along with the high costs make it almost impossible to process and extract zonal statistics over large periods of time for even small geographic areas. In such cases, downloading daily rainfall data or dekadal series of NDVI data would take days and consume all the bandwidth allocated to an organization (for reference, internet connections in Niger would cost thousands of dollars per month at a maximum - and unreliable - bandwidth of just 10 Mbps). Running crop models or hydrological models typically require several years of historic data over the area of interest (AOI). In some cases, these AOIs are relatively small compared to the footprint of individual earth observation granules. Hence, systems that let the stakeholders subset the data to download to a user specified area, or even submit processing requests that let them download small result files for the AOI become critical. The SERVIR program has developed a tool to provide this type of access to help decision makers in developing regions use long time series of adjusted rainfall data (CHIRPS), NDVI values, seasonal weather forecasts, evaporative stress indices and others in a very efficient manner. This system, named ClimateSERV (https://climateserv.servirglobal.net) ingests the datasets in an automated fashion and allows interactive access (through a web application), or automated access through a simple API that developers can quickly incorporate in independent applications. This way, the extraction of daily averages of rainfall over a 50 square Km area through 30 years of archived data takes only a few seconds to process, and the results can be presented on an online chart or downloaded in a comma separated file that's only a few Kb.
Mathematical method of graphic data spline-processing

When you need to process experimental data, there is a problem of adequate reflection of physical processes arises. In engineering practice, situations are quite common when, based on a limited amount of numerical data (experimental or calculated), it is necessary to determine the nature of the functional dependence that they represent and calculate the values of this dependence for an arbitrary argument. In this case, it becomes necessary to replace a complex dependence with a simpler one, which, however, would convey the character of a complex one with an accuracy acceptable for practical purposes. Also, in the process of filtering or compressing any information, data is usually represented as a sequence of values. The data sequence obtained in this way is used further to construct a function of a certain class that approximates the input signal in the sense of the selected criterion. Further, when carrying out various transformations, a constructed function is used instead of a signal, which approximates it. To process such data, it is proposed to use spline transformations, which are one of the most progressive methods of data processing. The theory of interpolation and smoothing computational schemes is currently widely developed. This approach, called the numerical-analytical approach, is being applied increasingly in modern signal processing theory, which is explained by computational considerations. In this case, the degree of adequacy of the numerical-analytical model constructed in this way to the real investigated signal, the error in the approximation of its individual characteristics is also important. The article is devoted to the development of a method for constructing a linear spline with an adapted mesh of gluing nodes of this spline to improve the approximation properties of the spline function. For this, an iterative method of constructing splines is used. The development of a method for constructing a linear spline with an adapted mesh of the gluing nodes of this spline makes it possible to reduce the standard deviations of the spline from the function being approximated. That is, it improves the approximation properties of the spline function, which can be used to process various digital data. In particular, we use them in the tasks of filtering and compressing graphic information, processing satellite signals.
The Use of Biochar for Bioremediation of Crude Oil/Hydrocarbon Polluted Soils (Vol 1) – Bioremediation of Polluted Soils, Studies, Results and Possibilities

Bioremediation has been touted as a miracle in a bottle for the earth’s terrible pollution problem. Over the past decade, there have been different methods developed and tested by a number of soil scientists and environmental engineers on the possible use of these bioremediation mechanisms on a significantly large scale with varying success. One of the bioremediation mechanisms which have stood out as having significant promise in bioremediation of polluted soils, is an microbial remediation method which utilizes Biochar to alter the soil properties, encourage microbial activity and enhance the absorption of inorganic and organic compounds. Although studies have shown that the success of the bioremediation of Biochar strongly depends on the feedstock and production process adopted in the production, and that the use of Biochar for bioremediation of hydrocarbon/Crude oil depends on the type of Biochar utilized, the study of the potential of the application of Biochar as a means of bioremediation on a large scale has achieved varying success, though still in its infancy. This paper, which is a first of a series of three (3), therefore seeks to critically analyze the concept of bioremediation, the methods of bioremediation - with a focus on Biochar, its sources, and the bioremediation process. It provides an introduction into the use of Biochar for the bioremediation of Crude Oil/Hydrocarbon polluted soils which forms the core of the series (2) of the trilogy and thereafter, analyses the various research and practical studies on bioremediation methods and the use of Biochar for bioremediation.
A Guide to TensorFlow 2.0 and Deep Learning Pipeline

In the previous chapters, we cover the fundamentals before diving into deep learning applications.
Direct Torque Neuro-Fuzzy Control of An Induction Motor (Dept.E)

In this article a direct torque of the induction motor drive controlled by Neuro-Fuzzy systet. The proposed control scheme uses the stator flux amplitude and the electromagnetic torque errors through an adaptive Neuro_fazzy inference system (ANFIS) to act on both the amplitude and the angle of the desired reference voltage. Simulation results by using ANFIS are compared with those of the conventional direct torque control (DTC). The comparison results of Direct torque Neuro-fuzzy controller (DTNFC), illustrate the reduction in the torque and stator flux ripples. The validity of the proposed method is confirmed by the simulative results
Error Analysis in Translation of Quotations in Online News Feature

Error is an important aspect to consider, among other news elements, in order to overcome mistranslation.This is due to the fact that news translation encounters language and cultural barriers that may hinder total understanding of a news message (Conway, 2010).Error analysis is a method to document language errors that occur in a specific language.Therefore, this error analysis research is conducted to identify and pinpoint common translation errors that occur in online news feature.This research data is comprised of 859 quotations extracted from news feature published online by BERNAMA, the Malaysian national news agency.Kussmaul's five categories of error is utilized in analyzing news feature data.Findings indicate that translation errors occur in news feature translations.Even though literal translation is widely used in translating news feature, certain facts and meanings cannot be conveyed in the target news language which subsequently create problems among target readers in understanding the news feature main messages.These translation errors can be categorized into five categories, i.e. cultural adequacy, situational adequacy, speech act, word meaning and language.Among these, errors in language received the highest frequency (35%) and the least frequent common error is cultural adequacy (1.6%).Hence, this study gives insights towards the type of translation errors that occur in news feature translation and have potential implications for news agencies and news translators.Both parties may use these findings in improving news feature translation process and enhance the final news feature product quality.