Reviewerly/exHarmony huggingface dataset:
Fine-granularity ownership identification of multimedia content components: a mechanism for smart media streaming

Conventional media streaming methods fall short in content protection because they assume the ownership of a multimedia content is determined and it can be accessed or not as a whole. However, more and more multimedia contents are springing up on the Internet with each being composed of multiple content components bearing possibly different ownerships. In this paper, the authors propose a fine-granularity ownership identification method for enabling the protection of each individual multimedia content component as a critical feature for smart media streaming. Specifically, the ownership of each media content component is first figured out using content fingerprinting techniques, and then is provided in the hierarchical media presentation description of a media content, which leads to separately handling each media content component according to corresponding ownership information at the client. Experiments on large datasets demonstrate the efficacy and efficiency of the proposed method.
Research on the Vocational Standard Internalization Path of Higher Vocational Students

The research on vocational standard internalization path of higher vocational students refers to a fixed practice mode in which school and enterprise determine talent cultivation objectives, optimize cultivation process and establish quality assurance system according to the educational purpose.
LibGuides: U.S. Congressional Serial Set: Secrets of the Serial Set

The United States Congressional Serial Set is considered an essential publication for unveiling American history. Spanning more than two centuries with more than 17,000 bound volumes, the Serial Set includes House and Senate reports, documents, and more. A HeinOnline monthly blog series.
An Improvised Sub-Document Based Framework for Efficient Document Clustering

Document clustering, which is used for topic discovery and similarity computation, has received a great deal of attention in text data management. Methods that have been adopted in traditional clustering, particularly for multi-topic documents, are not viable because the contents that are distinguished by the sub topical structure may not be pertinent across the entire documents. In this paper, a sub-document based framework for clustering multiple documents is proposed in which LDA is used for document segmentation. The proposed improvised framework is a two-way approach to address the clustering problem. First, instead of applying a clustering algorithm to the entire data sets, documents are partitioned into cohesive sub-documents along topic boundaries through text segmentation to establish a two-level representation of text data, i.e., topics and words. Second, the proposed framework is compared to existing clustering methods, both traditional and segment based clustering through different clustering algorithms using the F-measure as the measurement metric. In addition, various real-time data sets that contain multi-topic documents are applied to validating the clustering algorithms through the proposed sub-document based framework. Each sub-document is clustered within a document and the resulting clusters are further clustered across the documents. Experimental results show that the proposed framework outperforms existing clustering approaches in terms of the F-measure as well as efficiency at least 73% with LDA segmentation and bisecting LDA in comparison to TextTiling.
Library Personnel of Buryatia in the Period of 1920—1930-ies

The process of formation of the personnel potential of the libraries of Buryatia in the period of 1920—1930-ies is of considerable interest due to the lack of systematic information on the topic, the insufficiency and fragmentation of the available information. The purpose of the article is consideration of the development of staffing situation in the library institutions of the Republic, analysis of the forms and methods of training of library specialists in the first decades of the formation of the Autonomous Republic. Based on archival documents and materials of periodicals, the article recreates a certain chronology of events related to the solution of staffing issues in the library sector. The author considers the forms of training and retraining of library workers, the content of the methodical work of libraries, the problems associated with the lack of qualified personnel and the measures taken to resolve them. The article presents some quantitative data on the personnel composition of libraries and training activities held in the Republic. In the studied period, there was a multiple expansion of library personnel. In the mid-1920-ies, 15 people worked in the central libraries — regional and aimak (district) — subordinated to the People’s Commissariat of Education of the Buryat-Mongolian ASSR, in the state public libraries functioning in 1938 — 47 people. The staff of all library institutions of the Republic in 1934 included 155 people, in 1939 — 195 people. In the mid-1920-ies, the overwhelming majority of the personnel of central libraries consisted of novice librarians. Over time, the situation has improved; however, problems with personnel retention did not leave the agenda, for example, in the second half of the 1930-ies in the Republican library. The regional library, the Department of political and education work of Buryat-Mongolian People’s Commissariat of Education carried on most of the activities in the field of training and professional development of library staff; since 1936 the regional political-educational school in the town of Kyakhta had participated in that work. There were used various types and forms of personnel training; the special role was assigned to the courses of varying duration, workshops and seminars. In the 1920—30-ies, the staffing situation in the libraries of Buryatia remained rather complicated. Its characteristic features were the shortage of qualified personnel, high attrition of library workers and lack of systematic approach to improving the professional level of library staff.
Development of Real Time Life Secure and Tracking System for Swimmers

In today’s scenario, there are risks at every moment in our life. People rambling around are found insecure, especially at remote outdoor locations where there is no rescue services provided. One of these scenarios is an aquatic environment such as waterfalls, lakes, trekking, remote locations, water parks, swimming pools, beaches, etc. Many lives are at risks in spite of lifeguard resources. This paper reports a developed real time life secure and tracking system for swimmers. This proposed prototype system monitors the individual’s situation in any aquatic environment especially near beaches. This approach consists of three main modules namely, wearable module, standstill and monitoring system. Biomedical approach is used for detection of life threatening incidents. This wearable device uses several sensors to measure different vital physiological parameters of human body and sends an immediate wireless signal to the lifeguards to provide rescue service to the individuals in danger. This device sends an alarm to a receiver unit besides this, there is also a LED which blinks in any chancy situations which is connected to the standstill system and also the monitoring system. The wearable device is battery operated. A prototype of this system is tested with good results.
An Improved Automatic First Arrival Picking Method Based on EMD and AIC

Summary Robust automatic first-arrival picking of is important in microseismic monitoring and acoustic emission (AE) data processing. Traditional Akaike information criterion (AIC) can be easily suffered from noise and inappropriate window size. In this paper, we propose an improved first-arrival picking approach based on the empirical mode decomposition (EMD) and AIC. AE signal or microseismic data is firstly decomposed into a series of intrinsic mode functions (IMFs) representing generally simple oscillatory modes. Then the AIC criterion is applied on one of IMFs representing the main vibration mode of the signal to estimate the arrival time. The selected IMF has similar waveform and amplitude spectrum to the noise-free signal. Both synthetic data and real acoustic emission data with different level of noise are used in the testing of this EMD+AIC method. Comparison between EMD+AIC and traditional AIC shows obvious improvement and demonstrates the feasibility of the new method. This new first-arrival picking method is robust and applicable for noisy AE data or field microseismic data with low SNR.
Queixas inestéticas das mulheres da região do Farol de Santa Marta, no município de Laguna, Santa Catarina

Summary: Vanity has been growing according to a need to seek an image that is inaccordance with socially placed standards as well as personal satisfaction. There are bodilyand facial unsightly complaints. Among the body complaints we have fibroid edema,localized adiposity, stretch marks and flaccidity. And among the facial complaints we have:acne, blemishes, wrinkles among others. According to these justifications, the presentresearch has as objective: to identify the main nonesthetic facial complaints of women;identify the main unhealthy bodily complaints. Materials and methods: A total of 143 women aged 18-60 years were interviewed in April / May 2019. Gender, age and main complaintswere recorded for this purpose. The data obtained were tabulated in Excel 2010 worksheetand the analysis of the results through descriptive statistics through the evaluation of thefrequency distribution. The frequency was described as a percentage in each of the answers tothe questionnaire applied. Results: The study sample showed that the majority of participants(69%) were between 18-40 and (31%) aged 40-60 years. As regards body complaints, it wasnoted that the major complaint is localized adiposity with (68%), fibroid edema with (10%),flaccidity with (12%), striations with (9%), acne with (4%). The women identified their maincomplaints; in relation to facial aesthetics with the highest percentage were spots with (34%),Acne with (30%), wrinkles with (24%) and flaccidity with (12%). Conclusion: Afteranalyzing the results, the majority of Lighthouse women are aged between 18-40 years, theirmain body complaint is localized adiposity, and their main facial complaints are spots.
The Research on Process Model of Automatic Generation of Political News Event Reports

Political events have always been an important part of international political studies. In order to enable the government to understand the development process of political events quickly and comprehensively, and make a relatively objective assessment of the impact and scope of these events, this paper proposes a process model about the automatic generation of political news events analysis reports. Based on the waterfall model, the process model is divided into five steps: combing of key information of target event, selection of a report template, filtering of event data, processing of event data, and visualization analysis. Finally, the activities of Shanghai cooperation Qingdao Summit are selected as case studies to show how to apply this process model to practice and the results are evaluated.
Classification of Base Station Time Series Based on Weighted Adjustable-Parameter LPVG

With fast development of networking, data storage, data mining is now rapidly expanding in all science and engineering domains. Among them, Internet traffic record of Base Stations expressed as time series is closely related to our online lifestyles. Its classification is one of the most important application to explore the differences in lifestyles of Internet users. Due to the similar global features and different local features of given time series, traditional similarity measurement using original time series only is difficult to identify their differences properly. By transforming time series into visibility graph, similarity is measured in graph domain to adequately capture local features and improve local identification. In this paper, aWeighted Adjustableparameter Limited Penetrable Visibility Graph (WALPVG) is proposed to improve local identification in noisy environment. We modify the visibility criteria of LPVG to remove the noiseindependent traversal in LPVG adding a parameter, preserving local features of time series with noise resistance. By adding weight on the proposed visibility graph, more dynamic structure and local features are extracted. Finally, we use a real-world dataset of usage detail records (UDRs) to verify that our proposed method has better identification than original time series and existing visibility graph method in noisy environment.
Developing Large Scale B2B Blockchain Architectures for Global Trade Lane: Are the design principles derived based on the upscaling of the Internet applicable for upscaling global blockchain-enabled infrastructures?

Blockchain technologies offer new ways of organizing information architectures for information sharing amongst a multitude of agents in complex socio-technical systems. However, transferring the experience gained with blockchain from the crypotocurrency domain to business-to-business (B2B) setting is challenging and some of the blockchain inherent characteristics hamper pilots from scaling up towards a global blockchain-enabled information sharing business-to-business (B2B) architecture. In this paper we derive specific design principles and rules to explicitly address these blockchain scalability issues in a B2B context. To do so we analyse the evolution of the Global Trade Digitization (GTD1) blockchain architecture that is developed to share data in international supply chains all over the world by taking an information infrastructure perspective and by means of the design principles and rules of Hanseth and Lyytinen (2010) which were derived using the case of the Internet. Our longitudinal analysis represents the dynamics in the implementation of the global GTD B2B blockchain-enabled architecture. Building on the design principles of Hanseth and Lyytinen (2010) we position especially that the design principles that address the use of the installed base capabilities to offload the blockchain infrastructure, the reduction of IT capabilities to simplify its technical and social complexity, and the modularization of the blockchain-based information architecture to address separate functionalities of the information sharing process appear to be important aspects to address the scalability issues of blockchain-based applications, also in other B2B domains.
Categorizing Wireheading in Partially Embedded Agents.

$\textit{Embedded agents}$ are not explicitly separated from their environment, lacking clear I/O channels. Such agents can reason about and modify their internal parts, which they are incentivized to shortcut or $\textit{wirehead}$ in order to achieve the maximal reward. In this paper, we provide a taxonomy of ways by which wireheading can occur, followed by a definition of wirehead-vulnerable agents. Starting from the fully dualistic universal agent AIXI, we introduce a spectrum of partially embedded agents and identify wireheading opportunities that such agents can exploit, experimentally demonstrating the results with the GRL simulation platform AIXIjs. We contextualize wireheading in the broader class of all misalignment problems - where the goals of the agent conflict with the goals of the human designer - and conjecture that the only other possible type of misalignment is specification gaming. Motivated by this taxonomy, we define wirehead-vulnerable agents as embedded agents that choose to behave differently from fully dualistic agents lacking access to their internal parts.
Modelado de indicadores de operación de un gasificador downdraft por redes neuronales para biomasa Eichhornia Crassipes/Operational performance indicators of a downdraft gasifier through modeling by neural networks for biomass Eichhornia Crassipes

En el trabajo se presentan resultados investigativos obtenidos por los autores en el modelado de indicadores de desempeno de la operacion de instalaciones de gasificacion de la biomasa con ayuda de redes neuronales artificiales, a partir de la clasificacion de la informacion derivada del analisis sistemico de la operacion de estas instalaciones. Se realiza el estudio bibliografico de los trabajos de investigaciones previos, vinculados al modelado matematico de estas instalaciones por las diferentes tecnicas reflejada en la literatura especializada. Se realiza un plan experimental 3N con tres replicas, a partir del cual se elaboran, utilizando las tecnicas de las redes neuronales, cuatro modelos correspondientes a respectivos indicadores de desempeno, con satisfactorios resultados de su evaluacion a partir de los coeficientes de regresion y errores estandar utilizando como biomasa el Eichhornia Crassipes. Se describe la instalacion experimental y el sistema de adquisicion de datos desarrollados. The research results are presented by the authors in the modeling of performance indicators of the operation of biomass gasification facilities through the use of artificial neural networks, starting from the classification of the information derived from the systemic analysis of the operation of these facilities. A bibliographical study of previous research, related to mathematical modeling of these facilities through the different techniques specified on the literature was developed. A 3N experimental plan with 3 replicas is made to generate four models according to their own performance indicators using neural networks, with satisfactory results of their evaluation and based on regression coefficients and standard errors using Eichhornia Crassipes as biomass. The experimental installation and the developed data acquisition systems are described.
Public Understanding of Cyber Security and Digital Forensics within the UK

© 2019 The Author(s). This an open access work distributed under the terms of the Creative Commons Attribution Licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Equipping Educational Applications with Domain Knowledge

One of the challenges of building natural language processing (NLP) applications for education is finding a large domain-specific corpus for the subject of interest (e.g., history or science). To address this challenge, we propose a tool, Dexter, that extracts a subject-specific corpus from a heterogeneous corpus, such as Wikipedia, by relying on a small seed corpus and distributed document representations. We empirically show the impact of the generated corpus on language modeling, estimating word embeddings, and consequently, distractor generation, resulting in better performances than while using a general domain corpus, a heuristically constructed domain-specific corpus, and a corpus generated by a popular system: BootCaT.
Layers of advocacy: How librarians everywhere can make a difference and lessons for LIS education

This material is based upon work supported by the U.S. National Science Foundation under Grant No. 1822228
Advances in Web Engineering

Web engineering is multidisciplinary and encompasses contributions from diverse areas: systems analysis and design, software engineering, hypermedia/hypertext engineering, requirements engineering, human-computer interaction, user interface, information engineering, information indexing and retrieval, testing, modelling and simulation, project management, and graphic design and presentation.In the present book, twelve typical literatures about Web Engineering published on international authoritative journals were selected to introduce the worldwide newest progress, which contains reviews or original researches on Web application development, systems analysis and design, software engineering, hypermedia/hypertext engineering, requirements engineering, human-computer interaction, etc. We hope this book can demonstrate advances in web engineering as well as give references to the researchers, students and other related people.
Applying Mathematical Morphological Top-Hat Transformation in Seismic Exploration for First Break Picking

Summary In seismic prospecting, the first-break travelling time has been widely used. As the seismic industry moves toward denser source and receiver coverage, high-density data which leads to a dramatic increase in fold number, the workload of first-break picking is getting larger and larger. Many techniques has been applied in first-break picking, many traditional techniques are based on energy ratios. Here we proposed a method based on mathematical morphological top-hat transformation to achieve the first-break picking. Then we use synthetic and field examples to shown the performance of this method. The performance prove this method is viable.
The effect of corruption on growth and investments: Exploring the direct and indirect effects of corruption on growth via three different investment channels in low income countries

This thesis investigates both the direct effect and indirect effect of corruption on growth viathree different investment transmission channels. According to growth theory, different typesof investment are commonly considered as important contributors to economic growth.Therefore, this study aims to examine the indirect effect of corruption on growth viafollowing investment transmission channels: domestic investment, foreign direct investment(FDI) and human capital investment. Since poor countries are both in general more exposedto corruption and in need of investments, the direct and indirect effect of corruption ongrowth are tested in low and low-to-middle income countries, during a time period of 1996-2011. The direct and indirect effect of corruption is tested through conducting four differentmultiple regression analysis with panel data. Thereafter this thesis aims to put together theseeffects to determine the total effect of corruption on growth. However, the latter was notconducted since our result shows no strong significant effect of corruption on growth, neitherdirect or indirect. Although a weak significant negative of corruption on human capitalinvestment is indicated. Our result is not in line with previous research, which might beexplained by the properties of our country sample, the econometric method and a possibleneed of interaction variables. However, corruption should still be considered distortive forcountries and societies and a greater understanding of the significance of transmissionchannels and interaction between corruption and other variables is needed.
Enumeration of Preferred Extensions in Almost Oriented Digraphs

In this paper, we present enumeration algorithms to list all preferred extensions of an argumentation framework. This task is equivalent to enumerating all maximal semikernels of a directed graph. For directed graphs on $n$ vertices, all preferred extensions can be enumerated in $O^*(3^{n/3})$ time and there are directed graphs with $\Omega(3^{n/3})$ preferred extensions. We give faster enumeration algorithms for directed graphs with at most $0.8004\cdot n$ vertices occurring in $2$-cycles. In particular, for oriented graphs (digraphs with no 2-cycles) one of our algorithms runs in time $O(1.2321^n)$, and we show that there are oriented graphs with $\Omega(3^{n/6}) > \Omega(1.2009^n)$ preferred extensions. A combination of three algorithms leads to the fastest enumeration times for various proportions of the number of vertices in $2$-cycles. The most innovative one is a new 2-stage sampling algorithm, combined with a new parameterized enumeration algorithm, analyzed with a combination of the recent monotone local search technique (STOC 2016) and an extension thereof (ICALP 2017).