Reviewerly/exHarmony huggingface dataset:
Expression Removal in 3D Faces for Recognition Purposes

We present an encoder-decoder neural network to remove deformations caused by expressions from 3D face images. It receives a 3D face with or without expressions as input and outputs its neutral form. Our objective is not to obtain the most realistic results but to enhance the accuracy of 3D face recognition systems. To this end, we propose using a recognition-based loss function during training so that our network can learn to maintain important identity cues in the output. Our experiments using the Bosphorus 3D Face Database show that our approach successfully reduces the difference between face images from the same subject affected by different expressions and increases the gap between intraclass and interclass difference values. They also show that our synthetic neutral images improved the results of four different well-known face recognition methods.
Less Visually Different Objects Recognition with Aggregated Residual Siamese Network

Deep learning has been increasingly achieved advanced success in recent years and becomes a robust technique in the field of computer vision and image processing. However, massive data sets are required to obtain such power when training deep neural networks. On the other hand, many studies succeed in the task of general object recognition, for example, ImageNet Large Scale Visual Recognition Challenge, but there are very few studies that directly deal with the problem of less visually different objects. In this paper, we introduce a challenging problem of visual classification, in which objects are very similar and out-reaching of human’s ability, based on a proposed definition of similarity / less visual difference. Besides, the research also focuses on the backbone drawback of deep learning that is data limitation. A challenging data set, which we call HAM10K-limited, is collected with very few samples and imbalance between classes for evaluating methods. To tackle those issues, a convolutional neural network is proposed, named Aggregated Residual Siamese Network. The empirical results show that the proposed architecture achieves a significant improvement from previous works.
Usable and Secure Requirements Engineering with CAIRIS

Software needs to satisfy a range of security, privacy, and usability requirements. Eliciting them entails using design techniques both within and outside Requirements Engineering, together with tool-support which can analyse and make sense of requirements and other design concepts as early stage designs evolve. This half-day tutorial introduces participants to CAIRIS, and how it can be used to engineer requirements for usable and secure software. Participants will be given the chance to use CAIRIS with selected usability and security design techniques, and learn how CAIRIS has and can be deployed in real-world projects.
Activity Logging in a Bring Your Own Application Environment for Digital Forensics

The use of cloud applications introduces new challenges to information system’s security. The idea of applications accessible from multiple devices and hosted or provided by third-party organisations brings new complications to IT security. In situations where organisations are embracing Bring Your Own Applications (BYOA) and where they allow use of free to public cloud applications within their networks, it is important for IT security experts to consider how to secure their BYOA environments and also monitor how these applications are used and the flow of information. The aim of this research was to develop a digital forensics-based solution for securing BYOA cloud environment. This solution can be used to improve security in an organisation implementing BYOA. The research focuses on free to public cloud applications, whereby security challenges are identified and security measures proposed. The security measures are enforced through the development of a customized solution. The solution has been developed using rapid application development (RAD) system methodology. Using Geany editor and Python programming language, the prototype developed relies on digital forensics artefacts to gather information about the usage of BYOAs. The solution captures digital forensics artefacts and stores them into a database as logs of the activity on Google Drive application. The solution demonstrates how digital forensics artefacts can be used to enhance security in a BYOA environment.
Library Professionals Well-planned Manoeuvre in a Conflict Management

Conflict gradually weaken or destroy your organisation's energy and diminish standard of service and no one is immune. Whether you are a team leader, a manager or a member of your organisation's leadership team, the ability to handle difficult situations constructively is critical to organisation's success. The idealistic writings in books cannot solve the real problems which are encountered in library management. For this reason, it would be better if library professionals attempt to solve problems, instead of paying attention to applications which are fashionable in the field of library management and the theoretical ideas in books, apart from this, a mistake is often made when library professionals make decisions based on their own ideas and judgements or on certain ideologies, instead of consensus decision making. In this study the signs of conflict, to understand the benefits of conflict management, to acquire the skills required for conflict management, in the best possible way and to stress out a solution for conflict will be discussed.
Annotating Narrative Levels: Review of Guideline No. 4

In the following I briefly detail my comments on the submitted guidelines for the annotation of narrative levels in the “SANTA 4 Annotation Guidelines”. The submission documents a comprehensive and thorough approach to annotating narrative levels, going for a theory-driven perspective.
Efficient Remote Access System Based on Coded Speech Signals

This paper investigates an approach for speaker identification in a remote access system based on coded speech signals. The aim of using the coding process is to decrease the amount of transmitted data via the channel. In this proposed system, the speech signal is coded by two different coding techniques. It can be coded either by linear predictive coding or compressive sensing. The coded speech signal is transmitted into the receiver via the wireless communication channel. At the receiver, the received signal is decoded, and then speaker identification system is applied on the decoded signal. During the transmission process, the channel errors affect on the transmitted signal, so they should be taken into account. The speaker identification process is used to achieve the security needed for the remote access system. In speaker identification system, the feature vectors are captured from different discrete transforms such as discrete wavelet transform, discrete cosine transform, and discrete sine transform, besides the time domain. The recognition rate for all transforms is computed to evaluate the effect of coded signals on the performance of the speaker identification system. The results proved that the discrete cosine transform and discrete wavelet transform are the best. In addition to the proposed system gives close recognition results to those obtained from real speech signals revealing a simple degradation effect due to the speech coding.
Data School Diary - Day 09 - Data Steward Panel

Audio diary: Data Steward Mini-Panel of CODATA-RDA Research Data Science School 2019 held at the Abdus Salam International Centre for Theoretical Physics in Grignano, near Trieste in Italy between August 5 and August 16. Discussants include members of the data steward stream: Frans Huigen, Data Archiving and Networked Services (DANS)Sanjin Muftic, Digital Scholarship Specialist, University of Cape Town LibrariesCristiana Pisoni, Repository Manager, Universita Degli Studi Di BergamoSothearath Seang, Policy Officer and future Open Science Ambassador, EurodocOrganized by Andjani Gatzweiler. TOC:Introductions 0:00.000What is a Data Steward? 2:35.479What do you take away? 7:26.440Impressions and Suggestions 13:16.781Most Memorable 17:24.837 Refers to events of 2019-08-15. Recorded with Tascam DR-05 on 2019-08-15 at Adriatico Guest House. Processed with Adobe Audition.
Performance comparison between exhaustive search and imperialist competitive algorithm for 3-satisfiability programming

Logic programming is extensively used to describe relations and have both a declarative and an operational meaning. A 3-Satisfiability (3-SAT) program is a class of Boolean Satisfiability problem, where strictly 3 literals per clause are involved. There are various algorithms utilized to solve the 3-Satisfiability logic program. Exhaustive Search (ES) is the standard method, where the algorithm enumerates for every possible iteration to search for a solution. Imperialist Competitive (IC) algorithm, on the other hand, an evolutionary optimization method that is inspired by the imperialistic competition model. Applying the Imperialist Competitive algorithm to 3-Satisfiability logic programming shows its ability in dealing with different types of optimization problems. In this paper, the objective was to compare IC algorithm and ES algorithm in doing 3-SAT logic programming with Hopfield Neural Network (HNN). The performance of both models were evaluated by performance evaluation metrics such as Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Global Minima Ratio and CPU Time. The expected outcome of the experiment is that the IC algorithm outperformed ES in 3-SAT logic programming.
«ОСТРОВ ФОРТЕПИАНО» — ГУЛАНЪЮЙ

The article is devoted to original phenomenon of modern Chinese piano culture — the emergence of modern complexes-clusters decorated resort areas of the country, where there is opportunity in the best creative environment deal with the promotion of piano performance and pedagogy, linking them with both the educational development of the network, and with the expansion of tourism activities. This process has various versions, implementing in today’s China, including the one that exists in Gulangyu. Introducing the Russian reader with the di ﬀ erent sides of Gulanguy’s piano “life”, the article puts the issue of synthesis of various ontological forms of piano music in the dynamics of its multi-dimensional structural and systemic evolution relevant for contemporary art in general — and piano, in particular.
Welcome to the Fifth International Workshop on Learning from Other Disciplines for Requirements Engineering (D4RE‘21)

Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
PENGEMBANGAN SANTRIPRENEURSHIP BERBASIS BUDIDAYA JAMUR TIRAM DAN PENGOLAHAN PASCA PANEN

Islamic boarding schools basically have the task of guiding and being responsible for the survival of their students. However, the existence of Islamic boarding schools is often hit by various issues related to service limitations such as the absence of a fixed source of funds, limited facilities, and lack of professional staff. Therefore, entrepreneurship skills training is needed so that the santri can become independent, productive, and Islamic boarding schools will have a new source of income to help with operational costs every month. Oyster Mushroom Cultivation is here to answer the above problems because the prospect of Oyster Mushroom is quite good, maintenance is easy, does not require extensive land, and is much in demand by the community. The target of this service program is the santriawan and santri students of the Nurul Hikmah Islamic Boarding School and boarding school officials because they are ready to receive training in outline mushroom cultivation, the program to be implemented is gradual and continuous training and mentoring starting from planting, care, harvest to marketing. The marketing method used is conventional marketing and online marketing through the website and various social networks, because besides being able to save costs, energy, and of course online marketing can also increase the reach or marketing area
Strategi Bertahan Hidup Perajin Gerabah Tradisional

The decreased number of traditional earthenware craftsmen occurs due to three main factors: basic material, worker, and consumer. Some craftsmen instead prefer staying so that they should adapt to the existing condition. Nevertheless, in fact, some of them prefer stopping from being craftsmen now. Departing from this reality, the author tried to raise earthenware craftsmen’s adapting strategy to survive until today. The author employed a qualitative method. The phenomenological research was chosen with interview and observation being the techniques of collecting data. The result of research generally showed a variety of products produced aiming to document cultural heritage threatened to be extinct. Meanwhile, as the analysis technique, the author borrowed Julian Steward’s cultural-ecological perspective to explain the data found. Data analysis was conducted using an interactive technique of analysis. Considering the findings of the research, the craftsmen took a different surviving strategy today compared with that in the past. This change was effected by such constraints as basic material, consumer, and human resources. Julian Steward’s cultural-ecological concept seemed to be insufficient. Therefore, natural resources as the main basic material of industrial society should be understood more complexly to a more macro level.
Implementing and mapping the VESPA metadata dictionary in the PDS4

In the frame of the Europlanet-RI-2020 program, the VESPA (Virtual European Solar and Planetary Access) team has developed a metadata dictionary dedicated to data discovery in solar system sciences. The dictionary is called EPNcore and includes metadata for data coverage (temporal, spatial, spectral…), data content (target, measured parameter…), data origin (instrument, publisher…) and data access (format, URL…). In order to interoperate with the NASA/PDS4, the main archive information model in planetary sciences, it is first necessary to implement the EPNcore dictionary into the PDS4 information model. This is done with setting up a Local Data Dictionary (LDD). The second step deals with the mapping between terms already defined in the PDS4 information model and the EPNcore dictionary. We present the EPNcore LDD and a first version of the term mapping, as well as a prototype interface to query PDS4 from the VESPA portal. The Europlanet H2020 Research Infrastructure project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 654208.
An Intelligent Internet-of-Things (IoT) System to Detect and Predict Amenity Usage

As an act of disposing waste and maintaining homeostasis, humans have to use the restroom multiple times a day. One item that is consumed in the process is toilet paper; it often runs out easily in the most inconvenient times. One of the most fatal positions to be in is to be stuck without toilet paper. Since humans are not capable of a 100% resupply rate, we should give this task to a computer. The approach we selected was to use a pair of laser sensors to detect whether toilet paper was absent or not. Utilizing an ultrasound sensor, we would be able to detect whether a person was nearby and send a notification to a database. The online app, PaperSafe, takes the information stored and displays it onto a device for quick access. Once a sufficient amount of data is acquired, we can train a machine learning algorithm to predict the next supply date, optimized for the specific scenario.
Spring and Kotlin

Until this chapter in the book, Spring applications were written using Java. This chapter teaches you how to write Spring applications using Kotlin. Kotlin is a JVM programming language that my favorite software company, JetBrains (the same company that develops IntelliJ IDEA), started working on in 2011. As an IntelliJ IDEA fan since 2005, I cannot imagine JetBrains producing something that is not absolutely great. So, clearly, Kotlin had to be another awesome product. After seeing Josh Long’s “Bootiful Kotlin” presentation at the Spring IO conference in Barcelona, I decided that this was a programming language that I needed to learn.
1295: FEASIBILITY AND OUTCOME OF EPIC-EMR-BASED ICU CHECKLIST

Uppalapati, Aditya; Okikioluwa, Arojo; Dorothy, Terry; Fivecoat, Pauline; Babu Jadegondanahalli, Jai Prakash; Hasan, Al-Azzawi; Mukkera, Satyanarayana Reddy; Safeyih, Majed Author Information
Carbonate microfacies study by using images processing algorithms, K-mean clustering and nearest neighbor segmented classifying: an example from the Salman Oil and Gas Field, Persian Gulf, Iran

Finding and quantifying microscopic features such as matrix and grains, fabrics, porosity, fossil contents and diagenesis are crucial to improving the results of a microfacies study. Moreover, the application of image processing seems essential in analysis of hydrocarbon fields. There is a wide range of available image processing algorithms. However, these algorithms are dealing with many difficulties when faced with complex microfacies study objectives.In this paper, 170 thin section photographs from a Permo-Terias formation of Salman field in South-west of Iran were analyzed. Using the suggested histogram equalization algorithm, the selected thin section images were improved in a way to be comparable with the reference photographs. Afterward, the main microfacies major features such as matrix texture, boundaries, fossil content and appearance are characterized by applying functional image processing algorithms and sensitivity analysis of the algorithm results. Accurate grain size is measured in a designed Graphical User Interface (GUI). Next, pore detection and 2D porosity values are calculated by K-means clustering of A and B parameters in L*A*B color image space. Finally, different minerals in the matrix, cement, and porosity are classified and distribution of them are visualized and plotted on a scatter plot to determine the exact facies types.
Os sujeitos de 3ª pessoa na fala fílmica brasileira

Abstract – In this paper, based on a corpus of contemporary Brazilian film dialogues (the Sub-Corpus Carioca Urbano , Corpus I-Fala, Luso-Brazilian Film Dialogues as a resource for L1 & L2 Learning and Linguistic Research; De Rosa et alii 2017), we will discuss the presence and use of 3rd person referential subjects within the wider framework of the changes that are affecting Brazilian Portuguese, the latter being today considered a partial null-subject language. The study, based on Duarte (2012), analysed only referential pronominal subjects (overt or null) in finite sentences by focussing on two things. First of all, we considered mainly the semantic traits [±human] and [±specific], given that, according to the referential hierarchy proposed by Cyrino, Duarte and Kato (2000), referentiality has translinguistic relevance in pronominalization. Next, following Barbosa, Duarte and Kato (2005), we analysed their “sentential pattern”, i.e., the syntactic accessibility and functions of the antecedents.
Extending Open-Source Audio Embedded System:\\ A Pedal Pi Components Study Case

Audio plugins processing equipment that serve beginner instrumentalists have limitations regarding of extension for physical control and integration with other equipment, limiting the execution and the creation performances.Open-source projects allow their adaptation or extension by modifying the code or by integrating components that comply with some specification. Pedal Pi, a low-cost open-source DIY project, enables the development of software components for producing HMIs through a specified API.In this paper, components are developed that allow the control of the Pedal Pi by means of applications for mobile devices.For this, a bibliographic review of open-source solutions for the embedded processing of audio plugins is performed, an analysis of the extension points offered by the Pedal Pi software architecture is realized, the control components developed are presented and are discussed the results and the contribution relationships among the open-source musical projects.
Frequency Analysis of the English Language in Decrypting English Texts

The paper is devoted to frequency analysis of English texts and using methods of the analysis in deciphering mono-alphabetic ciphertexts. The relevance of this study is a huge interest in cryptography in recent years in connection with the emergence of cryptocurrencies and the great need to ensure information security of large amounts of data. The aim of the research is to show the possibilities of frequency cryptanalysis and to demonstrate the result of its methods in decoding the real ciphertext. The methodological base of the paper is the studies of cryptographs and statisticians. The result of the research is collected data on the frequency distribution of letters in the texts of different subjects and conclusions made while decoding of the ciphertext. Particular attention is paid to practical algorithms that can help in deciphering mono-alphabetic ciphers. The article is useful for novice cryptographers and mathematical linguists.
Understanding Class Variables and Class Methods

Sometimes developers do not want to operate through instances of a type. Instead, they prefer to work on the type itself. The concept of class variables or class methods appears in these scenarios. They are commonly known as static variables or static methods.
On the Constructive Truth and Falsity in Peano Arithmetic

Recently, Artemov [4] offered the notion of constructive truth and falsity in the spirit of Brouwer-Heyting-Kolmogorov semantics and its formalization, the Logic of Proofs. In this paper, we provide a complete description of constructive truth and falsity for Friedman’s constant fragment of Peano Arithmetic. For this purpose, we generalize the constructive falsity to n-constructive falsity where n is any positive natural number. We also establish similar classification results for constructive truth and n-constructive falsity of Friedman’s formulas. Then, we discuss ‘extremely’ independent sentences in the sense that they are classically true but neither constructively true nor n-constructive false for any n.
Missing Data - Better "Not to Have Them", but What If You Do? (Part 1)

Missing values are ubiquitous in empirical marketing research. If missing data are not dealt with properly, this can lead to a loss of statistical power and distorted parameter estimates. While traditional approaches for handling missing data (e.g., listwise deletion) are still widely used, researchers can nowadays choose among various advanced techniques such as multiple imputation analysis or full-information maximum likelihood estimation. Due to the available software, using these modern missing data methods does not pose a major obstacle. Still, their application requires a sound understanding of the prerequisites and limitations of these methods as well as a deeper understanding of the processes that have led to missing values in an empirical study. This article is Part 1 and first introduces Rubin’s classical definition of missing data mechanisms and an alternative, variable-based taxonomy, which provides a graphical representation. Secondly, a selection of visualization tools available in different R packages for the description and exploration of missing data structures is presented.