Reviewerly/exHarmony huggingface dataset:
Study on the detection and recovery algorithm of important financial information tampering

A self-recovery watermarking algorithm for important financial information content authentication is proposed in this paper. The algorithm firstly pre-processes the source image with wavelet transform and divides sub-band image for low frequency into sub-blocks. Secondly, in order to ensure the accuracy of the localisation of the tampered area, a dual authentication watermarking mechanism called 'SVD-position recording' is adopted for each image block. Thirdly, the source images are down-scaled and segmented based on K-mediods clustering to generate a binary code stream of vital information, taking into account the watermark capacity and recovery quality. Finally, the binary code stream is knight's parade scrambled and RS error-corrected coded to be embedded in the high-frequency wavelet coefficients which reduce the possibility of recovery watermark tampering. Experimental results show that the peak signal-to-noise ratio (PSNR) of the financial document images with embedded watermark by the algorithm in this paper is above 43 dB, which has excellent visual quality. At the same time, it achieves accurate localisation and precise recovery for tampering attacks such as add, copy, and delete, which is suitable for tampering detection and recovery of important financial information.
CSRB's Opus One

We in FOSS need to become much better at documenting design decisions in a way and a place where the right people will find it, read it, and understand it, before they do something ill-advised or downright stupid with our code.
Conceptual models and users

The paper presents an analysis of user tasks in the conceptual models, with an overview of the objectives and functionsof the catalogue from Cutter to the International Cataloguing Principles, a critical reflection on user tasks and a proposalfor a rethinking of these. The user tasks as presented in the conceptual models present critical aspects, in particular theydo not bring out some important aspects concerning the users’ motivations for searches and the users’ competences. Thepresentation of some critical aspects of user Ttasks is followed by an initial proposal for a more complex reflection on howusers use catalogues to carry out searches of different kinds.
USING DEVOPS PARADIGM TO DEPLOY WEB APPLICATIONS

DevOps paradigm is widely used in industry to develop software faster, deploy high quality frequent releases of features by integrating and harmonizing the Development and IT Operations activities.Industries are taking strategic decisions to remove the barriers that existed between Development and Operational teams by encouraging collaborations among these teams throughout System Development Life Cycle (SDLC).These strategic decisions to implement DevOps paradigm resulted in the development and emergence of large arrays of tool chains to support, monitor, and automate activities of various SDLC stages.In this paper authors attempt to give practical insights on how the using of DevOps can speed up the management, development and deployment process of a simple web application.Widely used DevOps model consisting of eight stages is used to implement the example application.A toolchain consisting of state of arts tools is used at various DevOps stages.A detailed explanation of each tool, including details to their implementation and a short evaluation concludes the study.The results revealed that the usage of DevOps enables to accelerate the development process of web applications, as most steps during the build and testing process can be automated.Especially the outsourcing of operational overhead to an external cloud provider can lead to economic advantages, which will impact the future of software development.
CRITICAL MINERAL TREND ANALYSIS USING TEXT MINING

The supply of minerals is important to the world's major and emerging industrial economies.Over time, the supply of these minerals has been a concern to the US (United States) government.This led to Executive Order 13817 of 2017 which outline minerals that are critical to the US economy and national security.The US Geological Survey (USGS) executes the order to ensure a constant supply of critical minerals.Despite the US government and other state agencies' steps to define and review the critical mineral list yearly, there has not been any published list by academia on what they describe as critical minerals.The objectives of this study are to identify the trends in critical minerals using research publications and reveal the knowledge gap between academia and the government-published literature.Text mining will be used as a tool to achieve the set objectives in this publication.Thirty-one articles were obtained for this research which was sampled at random from publications from 2008 to 2020 using "Critical minerals" as the keyword.Our results show Helium and Iron Ore carried no supply risk, and unsurprisingly were not found in the research articles.Gold, however, also carried no risk, but still carried weight in the research discussions.
Context Region Identification Based Quality Assessment of 3D Synthesized Views

Perceptual quality assessment of 3D synthesized views is an open research problem in computer vision. Researchers across the globe have developed several algorithms to identify distortions. At the same time, the existing algorithms cannot quantify the context in which these distortions affect the overall perceptual quality. According to the recently proposed 3D view synthesis algorithm, the choice of context region for the disocclusion plays a vital role in predicting the quality of 3D views. The context region taken from the background of a view produces a perceptually better quality of 3D synthesized views than when the context region is taken from the foreground. With this view, the proposed algorithm aims to identify the context region and incorporate this information for the perceptual quality assessment of 3D synthesized views. We observed that the depth energy maps of the 3D synthesized views vary significantly with the change in the context region and subsequently can identify the context region. Hence, in this work, we propose a new and efficient quality assessment algorithm based upon the variation in the depth of 3D synthesized and reference views, giving two-fold advantages: 1. It can predict the quality based on whether the context region is foreground or not. 2. It is also able to suggest the possible location of distortions. We have proposed two new algorithms for both situations when the context region is foreground or not. The overall predicted score is the direct multiplication of the quality score estimated when the context region is foreground or not. When applied to the established benchmark dataset, the proposed technique performs satisfactorily with the PLCC of 0.7707 and 0.7572 of SRCC. Also, the proposed algorithm can work as a plug-in to improve the performance of the existing algorithms.
Research on the Construction and Management of High Performance Computing in Universities

With the widespread use of high performance computing in scientific research and the addition of artificial intelligence and big data related majors in colleges and universities in recent years, the demand for computing power of high performance computing in colleges and universities is getting higher and higher.As a result, many universities have problems such as scattered computing resources, repeated construction, inadequate computing power, complicated operation and maintenance, and many security risks.How to give full play to the core potential of high performance computing resources is an urgent task.The article discusses how to improve the efficiency of using high performance computing resources in universities to avoid wasting arithmetic power, which provides useful reference for the management and use of high performance computing resources in colleges and universities.
Recognition Method for Face Local Features Based on Fuzzy Algorithm and Intelligent Data Analysis

Traditional recognition methods for face local features have a low recognition rate, so the recognition method for face local features based on the fuzzy algorithm and intelligent data analysis was designed. Firstly, the wavelet denoising method was used to reduce the noise of face images, and adaptive template matching was performed on the obtained images. Then, the face information was encoded, and the face features were identified to locate the face features. On this basis, the principal components of the face were analyzed to obtain the global features of the face. Finally, through the candidate set of facial local feature recognition, the extraction of face local features, and the fusion of face local features, the recognition of local face features were realized. The experimental results show that the average recognition rate of this method is 88.84% in a noise environment and 97.3% in noise-free environment. It can accurately recognize the face local features, can meet the needs of recognition of the face local features, and has certain practical application significance.
Prospects of innovative changes in library activity: views of domestic scientists

The purpose of the article is to explain the interpretation of the concepts: «innovation», «library innovation», and «innovation» in the context of the study of domestic library professionals. Analyze the theoretical and methodological principles for the introduction of web technology in library practice for effective remote information service users. The research methodology consists is based on the use of general scientific approaches: socio-cultural, socio-communicative, systemic, as well as the use of general scientific methods (analysis, synthesis, generalization). Scientific novelty of the work lies in the in-depth analysis and comprehensive approach to studying the issue of quality satisfaction of the library user through the prism of the introduction of innovative forms and methods in library activities. Conclusions. From the conducted research we can state that domestic experts consider modern concepts of activity of leading libraries on questions of information service of users. In particular, they offer ways to implement innovative forms and methods, directions and ways of implementing innovative activities of social and communication institutions in accordance with the information and technological challenges posed by society in the XXI century. Thus, affirmatively positioning the prospects and achievements in the development and implementation in the library practice of Internet services by all possible innovative means. We will try to note that in the library information environment of customer service, traditional forms of work are preserved, which remains relevant and meets the needs of the information society as a whole. But this does not mean that information services should not be constantly in the dynamics, improve, and thus be competitive in the market. Therefore, the forms and methods of remote (information) service of network and local resources are becoming one of the leading activities of modern public library.&#x0D; Keywords: library, digitalization of libraries, library innovation, innovation policy of the library, library and information services, innovation, web technologies.
Evaluating Style-Similarity in Extractive Summarization Techniques

It has never been easier to get access to content. Rather, we are facing an ever increasing overload which undermines the ability to identify high-quality content relevant to the user. Automatic summarization techniques have been developed to distil down the content to the key points and shorten therewith the time required to grasp the essence and judge about the relevance of the document. Summarization is not a deterministic task and depends very much on the writing style of the person creating the summary. In this work we present a method to, given a set of human-created summaries for a corpus, establishes which automatic extractive summarization technique preserves best the style of the human summary writer. To prove our approach, we use a corpus of 1000 articles by Science Daily with the corresponding human-written summaries and benchmark 3 extractive summarization techniques (BERT-based, keyword-scoring-based and a Luhn summarizer), indicating the best style-preserving method and discussing the results.
Analitik Big Data: Social Media Mining

he development of big data from year to year has become very rapid in line with the development of the Internet of Things (IoT). One of the most widely owned and frequently used devices is a mobile phone, especially a smartphone. Social media applications found on smartphones generate large amounts of data every second. These data are widely used forresearch in various fields of big data analytics. And the techniques used also vary depending on the dataset and the purpose of the research. This study aims to discuss big data analytics, especially social media mining, and some of its techniques for analysis. The research was conducted using a literature review method on journals and books discussing topics relevant to this research. The expected benefit of this research is that it can add insight and knowledge for readers who are interested in the topic of social media mining.
Utilization of Scrum Models in Photography Services and Online Videography

The difficulties faced by the user in selecting photography and videography services are now very limited to access the transmission of his works, and also because a photography and videography have not been computerized to make information and data management scarce. The purpose of the study is to develop a software by pinching agile ux, asa measure of user satisfaction or need to online photography and videography services. The method is the scrum that serves to manage a project more efficiently, and it makes teamwork more effective and focused. The results of this study were developing a software that functioned asa function, from providers and users as well as photography and videography services, so they became more efficient and the published works became more optimized. Testing results using black box testing that test for functionality and required specifications. Applications made to help sell products and promote shops in these materials, so that all are more organized and more effective in the system are washed down. The application has not been entirely feasible, as development in the system is still required.
Interrogating the Subsurface of the Srebrenica Magmatic Complex: Airborne Em Survey as Mineral Exploration Targeting Tool

Summary The Srebrenica Magmatic Complex is the western member of the Podrinje Metallogenic District that straddles the Bosnian-Serbian border and includes the Serbian Cer and Boranja mining districts, collectively the northwesternmost extensions of the Serbo-Macedonian Metallogenic Province (SMMP). The SMMP mainly hosts ore deposits of Paleogene to Neogene age, although some Mesozoic and Late Palaeozoic deposits are also present. Available radiometric ages indicate the onset of magmatism around 30 Ma in the southern part of the province along the NNE-SSW trending Cer-Zvornik-Srebrenica line. The variable geological structures present here highlighted the need for the deployment of an airborne system that would be able to map the structural details and also deliver a good depth of penetration. These requirements are fulfilled by the SkyTEM306HP system operated at 12.5 Hz repetition frequency. The airborne survey results have been evaluated together with geochemical soil sampling and structural analyses to perform the target generation at the three prospective zones defined as Olovine, Brezani and Chumavichi for both the surface near and deeper seated targets.
PENGEMBANGAN MEDIA PEMBELAJARAN ANIMASI DENGAN MACROMEDIA FLASH 8 PADA MATERI JENIS-JENIS KOLOID

The lack of various learning media used in the learning process constituted the background of this research. This research aimed at developing a product in the form of animation learning media, determining validity and practicality levels of animation learning media with Macromedia Flash 8 on Colloid Types lesson. It was Research and Development (R&amp;D) with ADDIE (Analyze, Design, Development, Implementation, Evaluation) development model. This research was administered to the twelfth-grade students of MIPA 3 at State Senior High School 3 Pekanbaru. The validation result by media and material experts showed that its percentage was 98.57% with very valid category. The percentage of teacher practicality test was 98.09% with very practical category, and the percentage of student response practicality test was 84.40% with very practical category.Keywords : Learning Media, Animation, Macromedia Flash, Colloid.
EDUCATION PROCESS DURING COVID-19 PANDEMIC – Case of the Republic of Serbia

The outbreak of corona virus in the beginning of 2020 has affected countries on all continents and distorted and reduced human activities to an unprecedented level in recent history.The COVID-19 pandemic has created the largest disruption of education systems in history, affecting nearly 1.6 billion learners in more than 190 countries on all continents.Closures of schools and other learning spaces have impacted 94 per cent of the world's student population up to 99 per cent in low and lower-middle income countries.Ensuring learning continuity during the time of school closures became a priority for governments around the world, many of which turned to ICT, requiring teachers to move to online delivery of lessons.Countries report that some modalities have been used more than others, depending on education level, with variability across regions.In the paper the educational process in the conditions of the COVID-19 pandemic in the Republic of Serbia will be analysed through the analysis of secondary sources and interviews with relevant actors.The aim of the analysis is to point out what worked well, but also to emphasize the mistakes, gaps and omissions in the organization of the educational process, primarily in order to adequately prepare for future crisis situations.
Lightweight frequency-based attention network for image super-resolution

The advent of convolutional neural networks has been driving the rapid development of image super-resolution (SR) tasks. Existing works, however, tend to devise deeper and wider networks to boost accuracy, leading to huge model sizes and computation costs. In addition, they also ignore the effect of frequency domain information on image restoration. To address these challenges, we propose a simple and effective frequency-based attention network, comprising a series of frequency-domain enhancement modules (FDEMs), for accurate image SR. Each FDEM integrates a two-dimensional discrete wavelet transform, progressive frequency enhancement module (PFEM), and frequency aggregation module (FAM). Specifically, DWT first decomposes the features into high-frequency and low-frequency parts, and then the low-frequency branch is processed and gradually added to the high-frequency branch to realize the interaction of frequency information in PFEM. Finally, frequency representations from the PFEM are upsampled to the FAM to further achieve information enhancement in a specific space. Extensive experiments indicate that our method is efficient in reconstruction accuracy with less model capacity, exceeding most existing lightweight SR networks.
Flexural mechanical properties of carbon fibre reinforced reinforcement under cyclic loading

Aiming at the problems of large calculation error of bearing capacity and low accuracy of bending performance analysis in the analysis of bending mechanical properties of carbon fibre reinforced reinforcement, an analysis method of bending mechanical properties of carbon fibre reinforced reinforcement under reciprocating load is studied in this paper. Firstly, the secondary reinforcement and carbon fibre cloth are selected as reinforcement materials, and the elongation of carbon fibre cloth is determined to complete the carbon fibre reinforcement of reinforcement. Then, the elastic modulus, bearing capacity and deflection parameters of CFRP reinforcement under reciprocating load are calculated; Finally, the convergence conditions of the flexural mechanical properties of the reinforced steel bar are set to complete the flexural mechanical properties analysis of the carbon fibre reinforced steel bar under reciprocating load. The experimental results show that the analysis accuracy of bending mechanical properties of this method is up to 98%.
Improving Mandarin Prosodic Structure Prediction with Multi-level Contextual Information

For text-to-speech (TTS) synthesis, prosodic structure prediction (PSP) plays an important role in producing natural and intelligible speech. Although inter-utterance linguistic information can influence the speech interpretation of the target utterance, previous works on PSP mainly focus on utilizing intrautterance linguistic information of the current utterance only. This work proposes to use inter-utterance linguistic information to improve the performance of PSP. Multi-level contextual information, which includes both inter-utterance and intrautterance linguistic information, is extracted by a hierarchical encoder from character level, utterance level and discourse level of the input text. Then a multi-task learning (MTL) decoder predicts prosodic boundaries from multi-level contextual information. Objective evaluation results on two datasets show that our method achieves better F1 scores in predicting prosodic word (PW), prosodic phrase (PPH) and intonational phrase (IPH). It demonstrates the effectiveness of using multi-level contextual information for PSP. Subjective preference tests also indicate the naturalness of synthesized speeches are improved.
Neural correlates of acoustic and semantic cues during speech segmentation in French

Natural speech is highly complex and variable.Particularly, spoken language, in contrast to written language, has no clear word boundaries.Adult listeners can exploit different types of information to segment the continuous stream such as acoustic and semantic information.However, the weight of these cues, when co-occurring, remains to be determined.Behavioural tasks are not conclusive on this point as they focus participants' attention on certain sources of information, thus biasing the results.Here, we looked at the processing of homophonic utterances such as l'amie vs la mie (both /lami/) which include fine acoustic differences and for which the meaning changes depending on segmentation.To examine the perceptual resolution of such ambiguities when semantic information is available, we measured the online processing of sentences containing such sequences in an ERP experiment involving no active task.In a congruent context, semantic information matched the acoustic signal of the word amie, while, in the incongruent condition, the semantic information carried by the sentence and the acoustic signal were leading to different lexical candidates.No clear neural markers for the use of acoustic cues were found.Our results suggest a preponderant weight of semantic information over acoustic information during natural spoken sentence processing.
An intelligent platform for effective policing

Evidence gathered from digital devices plays an important role in modern criminal investigations, yet it is not always easy to gather and analyse relevant data. Researchers in the INSPECTr project are developing intuitive, easy to use tools and an intelligent platform that will help law enforcement agencies combat crime more effectively, as Dr Ray Genoe explains.