Reviewerly/exHarmony huggingface dataset:
Encyclopedic information systems edited by scientists

This paper introduces a digital library structured by an encyclopedic infrastructure. Scientists can simultaneously and collaboratively perform many digital practices. The article gives examples in musicology and in the environmental sciences. It can also federate editorial actions or terminology field to constitute large knowledge sharing services such as encyclopedias, or more technical as bibliographic bases. On a technical level it is realized with semantic wikis completed by an XML engineering. The design of this demonstrator is based in particular on an analysis of situations encountered at INIST.
Proposta de ações para a implantação da gestão do conhecimento organizacional: estudo de caso em uma organização militar brasileira.

Contemporary organizations are inserted in a context of rapid and constant changes in the political, economic and technological aspects. In this scenario, knowledge management (KM) for effective decision-making and innovation is fundamental for the sustainability of organizations as well as for maintaining competitive advantages. In public organizations, knowledge management is the basis for reducing the effects of loss of human capital, especially in the case of retirement and movement. Given this, this study has as general objective to propose actions for the implementation or improvement of knowledge management in the Rio de Janeiro Navy Arsenal, which is a military organization of the Brazilian Navy. To achieve this objective, an exploratory research with a qualitative-quantitative approach was used as a methodology through a case study. The research instrument was a questionnaire applied to those in charge of the critical processes of the organization in question. Through the analysis of results, it was found that the main barriers to the application of KM are, in this order: resistance to change, lack of time, bureaucratic, rigid and hierarchical nature of the organization and the insufficiency of information and communication systems. Communication. In addition, the main KM tools and practices most adaptable to the organization in the view of those in charge of critical processes were listed. Finally, actions were proposed for application in the organization with the objective of developing knowledge management in the organization. This study is relevant due to the importance and urgency of the KM theme in the organization under study and the possibility of adapting the actions suggested in the other military organizations of the Brazilian Navy.
Evaluation of Distribution Automation Terminal Based on Grey Relational Method

Improving distribution automation is one of the keys to build a strong smart grid. Since the current distribution automation terminal numbers are various, and the traditional maintenance workload is heavy at present, but there is a correlation between each impact index and failure, the article has established the assessment system of distribution automation terminal based on the theory of the grey clustering evaluation way, and the state evaluation of the distribution automation terminal is carried out, and the correctness of the method is verified by calculation. Grading detail rules of each state variable have been given for distribution automation terminal state control and providing a decision-making basis.
Yttrandefrihet i Turkiet utifrån två rättsfall - En argumentationsanalys av två rättsfall om yttrandefrihet i Turkiet och hur de förhåller sig till de samhällsfunktionella teorierna sannings-, demokrati- och toleransargumenten

The purpose of this bachelor thesis is to gain a deeper understanding of how Turkey has dealt with freedom of expression. This study analyzes two court cases in which the European Court of Human Rights determined that Turkey failed in its obligation to protect the freedom of expression of two of its citizens, Hrant Dink and Selahattin Demirtas. The study begins by analyzing the merits of the cases, specifically evaluating the arguments that promote and criticize Turkey's infringement of Article 10 of the European Convention for the Protection of Human Rights. The study then further analyzes the cases from a societal functional theory, with a focus on issues of truth, democracy and tolerance, to determine whether Turkey violated the applicants' freedom of expression. The theoretical application establishes that Turkey has violated all three aspects of truth, democracy and tolerance in the two cases discussed in this study, thereby also infringing on Article 10. Although there were divided opinions in the cases on whether Turkey violated Article 10, application of the societal functional theory indicates that the applicants' rights to freedom of expression were infringed. A challenge that is demonstrated in the results is Article 301 of the Turkish Penal Code and the challenges faced due to the vague and wordy language. The poor language used makes the scope of the provision unclear, resulting in arbitrary interpretations that violate a claimant's rights. Key words: Freedom of expression, Turkey, European Court of Human Rights, European Convention for the Protection of Human Rights, Article 10, Article 301 (Less)
Equity fund performance using persistence analysis

The research was carried out to determine and analyze the performance persistence of annual and biennial equity fund in  2016 - 2018 using the Sharpe and Sortino method. The population consists of 101 equity funds.   in 2016  65 samples calculated  by Sharpe method and 54 samples calculated  by Sortino method, in 2017 74 samples calculated by Sharpe  method  and 62 samples calculated  by  Sortino method , and  in 2018  86 samples calculated by Sharp method  and 74 samples calculated  by  Sortino method.  Persistence testing using Malkiel’s (Z-test), Brown’s Goetzmann’s odds ratio (OR), and Kahn’s Rudd’s X2 test . The results showed that there is persistence equity fund performance  in 2016-2017 . But there is no persistence equity fund performance  in 2017 - 2018 and 2016-2018 . This is due to changes in the performance of stock that affect the performance of equity fund .
YAPAY ARI KOLONİSİ ALGORİTMASI İLE YAPILAN GELİŞTİRMELER VE SONUÇLARI

In optimization algorithms, it is generally necessary to analyze whether it provides good performance in most problem types and to analyze its behavior by comparing with the algorithms in the literature. For this reason, performance analysis of Artificial Bee Colony (ABC) algorithm, which is one of the optimization types modeling the bee's food search behaviors, have been made. The ABC, discovered by Karaboga in 2005, is a good mechanism for finding new solutions. However, there is a need for improvements in ABC with respect to local research. The classical state of the algorithm and the developed processes have been examined by taking into account the specific parameters in the test problems and it has been shown that which improvement produces better solutions than standard ABC.
LibGuides: Virtual Library Services During Emergency Campus Closure: Digitization (What about my Reserves?)

Due to the current COVID19 / Coronavirus-related emergency campus shutdown, the library has put together this special guide to virtual library services.
Phase diagram of the dynamics of a precessing qubit under a quantum measurement

We study the phase transitions induced by sequentially measuring a single qubit precessing under an external transverse magnetic field. Under projective quantum measurement, the probability distribution of the measurement outcomes can be mapped exactly to the thermodynamic probability distribution of a one-dimensional Ising model, whose coupling can be varied by the magnetic field from ferromagnetic to anti-ferromagnetic. For the general case of sequential quantum measurement,we develop a fast and exact algorithm to calculate the probability distribution function of the ferromagnetic order and anti-ferromagnetic order, and a phase diagram is obtained in the parameter space spanned by the measurement strength and magnetic field strength. The mapping to a long-range interacting Ising model is obtained in the limit of small measurement strength. Full counting statistical approach is applied to understand the phase diagram, and to make connections with the topological phase transition that is characterized by the braid group. This work deepens the understanding of phase transitions induced by quantum measurement, and may provide a new method to characterize and steer the quantum evolution.
Tune Smarter Not Harder: A Principled Approach to Tuning Learning Rates for Shallow Nets

Effective hyper-parameter tuning is essential to guarantee the performance that neural networks have come to be known for. In this work, a principled approach to choosing the learning rate is proposed for shallow feedforward neural networks. We associate the learning rate with the gradient Lipschitz constant of the objective to be minimized while training. An upper bound on the mentioned constant is derived and a search algorithm, which always results in non-divergent traces, is proposed to exploit the derived bound. It is shown through simulations that the proposed search method significantly outperforms the existing tuning methods such as Tree Parzen Estimators (TPE). The proposed method is applied to three different existing applications: a) channel estimation in OFDM systems, b) prediction of the exchange currency rates and c) offset estimation in OFDM receivers, and it is shown to pick better learning rates than the existing methods using the same or lesser compute power.
Dependency tree extraction tool STARK 1.0

STARK is a python-based command-line tool for extraction of dependency trees from parsed corpora, aimed at corpus-driven linguistic investigations of syntactic phenomena of various kinds. It supports the CONLL-U format (https://universaldependencies.org/format.html) as input and returns a list of all relevant dependency trees, frequencies, and other associated information in the form of a tab-separated .tsv file. For installation, execution and the description of various user-defined parameter settings, see the official project page at: https://gitea.cjvt.si/lkrsnik/STARK. This entry corresponds to commit 421f12cac6 in the Git repository.
Can adversarial training learn image captioning

Recently, generative adversarial networks (GAN) have gathered a lot of interest. Their efficiency in generating unseen samples of high quality, especially images, has improved over the years. In the field of Natural Language Generation (NLG), the use of the adversarial setting to generate meaningful sentences has shown to be difficult for two reasons: the lack of existing architectures to produce realistic sentences and the lack of evaluation tools. In this paper, we propose an adversarial architecture related to the conditional GAN (cGAN) that generates sentences according to a given image (also called image captioning). This attempt is the first that uses no pre-training or reinforcement methods. We also explain why our experiment settings can be safely evaluated and interpreted for further works.
Analisa Keamanan Website Terhadap Serangan Cross-Site Request Forgery (CSRF)

Cross-Site Request Forgery (CSRF)  is an attack that asks end users to take unwanted actions on a web application during the authentication process. The security of a web becomes very important from CSRF attacks, opposing with various encryption methods that can be used as alternatives to overcome CSRF attacks. The purpose of this research is to find the gaps in the East Aceh Regency Government website, to analyze the East Aceh Regency Government website for the CSRF attack, to minimize the CSRF attack on the East Aceh Government institution from the CSRF attack technique. using the Acunetix tool. Based on the analysis of the East Aceh Government website, a conclusion can be made, namely the assessment of the website jdih.acehtimurkab.go.id and acehtimurkab.go.id cross scripting based DOM site., analysis of attacks on the East Aceh Government website with HTML attack type without CSRF protection found attack protection on Alert Media, and based on security analysis and attack analysis on the website, an anti CSRF library was created that can be used to find all forms of attack from the CSRF attack technique.
La gente, gli arcobaleni e Salvini. Internet meme, viralità e politica italiana / People, rainbows and Salvini. Internet memes, online virality and Italian politics

The paper discusses the relations between political communication and online memetic communication, with particular reference to the Italian context. After a brief state of the art of the literature in point, and the synthetic presentation of a semiotic approach to viral phenomena and Internet memes, three main case studies are reviewed: the Italian Facebook page Siamo la gente, il potere ci temono (translatable with the broken English “We are the people, the power are afraid of us”; created in 2012), a mimetic satire linking Beppe Grillo’s Five Star Movement, conspiracy theories, and grammatical incorrectness; the spread of “rainbow profiles” over the Italian Facebook to celebrate the marriage equality sanctioned in the United States (June 27 th 2015); Matteo Salvini’s “selfie” taken at the funeral of the victims of the Morandi bridge collapsed in Genoa (August 18 th 2018).
The Perception of Young Learners towards “Walking Phrase” Activity: Is It Effective in Engaging Them in English Phrase Reading and Sentence Writing?

Learning sentence structure is usually not seen as an enjoyable learning experience, while writing is a complex system of communication, which means learning how to write can pose some difficulties. Thus, “Walking Phrase” activity was introduced to 26 young learners of Sekolah Kebangsaan Seri Wangsa as a technique for engaging them in reading phrases and writing sentences. The objective of this study was to investigate the perception of these young learners towards the use of “Walking Phrase” as an effective strategy in engaging them in English phrase reading and sentence writing. “Walking Phrase” is a learning strategy that involves simple phrases and then learners try to use them in structuring sentences. As for the present study, the students each wore a phrase card. Then they read and memorized the short phrases written on the cards. The students then wrote the phrases in their writing booklets and also wrote complete sentences using the phrases. A questionnaire which comprised sixteen “Yes”/“No” questions was administered each of the 26 participants who were Year 6 students of the primary school in order to investigate their perception towards “Walking Phrase” activity. Based on the findings obtained, the majority of the students viewed “Walking Phrase” activity as an effective strategy in engaging them in reading phrases and writing sentences of English.
Nash Library & Student Learning Commons: News at NLSLC: Home

Details on current library services and resources. Details on Academic Street Press video collection
Pemanfaatan Data Sentinel-2 untuk Analisis Indeks Area Terbakar (Burned Area)

The Use of Sentinel-2 Image to Analysis Burned Area IndexBurned area mapping can be extracted from remote sensing imagery using burned area index. Various indices have been developed to identify burned areas including NBR, NBR2, MIRBI, and BAIS2. This study aims to determine the index that best distinguishes burning and non-burning areas in the detailed scale of small fires. Burned areas were identified from the delta index before and after the fire. Date of Sentinel-2 image before fires on May 1, 2019, after fires on September 8, 2019. The NBR index uses the comparison of SWIR and NIR band, the NBR2 and MIRBI indexes use the comparison of SWIRL and SWIRS band, while the BAIS2 index plays the red-edge spectral range, NIR, and SWIR. The result of the separability index analysis shows that the MIRBI index is good for distinguishing burned areas from bare land. The NBR index is good at distinguishing burned areas from vegetation and built-up land while the NBR2 index is good at distinguishing smoked burned areas from vegetation and built-up land.
LibGuides: Free Vendor Resources: Home

During the Covid-19 crisis, many library and educational vendors are offering free resources or greater access to resources already established.
Valentine's Day "Dewey belong together?" posters

These posters were created to celebrate Valentine's Day and to promote the resources available to BU students through BU Libraries.
PERBEDAAN MOTIVASI BELAJAR MATEMATIKA DALAM MENINGKATKAN MINAT BELAJAR SISWA LAKI-LAKI DAN PEREMPUAN

The average score of mathematics subjects from 64 grade VIII students of 54 is stated to be less than the KKM (Minimum Graduation Criteria) that has been determined that is 70. The teacher explains some of the causes of low motivation and interest in student learning because students lack understanding on the previous material.This study uses quantitative descriptive research, where researchers use descriptive methods with a quantitative approach. the population is all eighth grade students at Mekarwangi Lembang Middle School 2016/2017 school year. The number of students is 64 students.
New Algorithms and Deep Learning Methods for Object Detection and Segmentation for Biomedical Image Analysis

Machine learning and deep learningmethodologies make it possible to achieve high-throughput andhigh-quality analyses of large volume medical and biological data.Data-driven biomedical image analysis has drawn increasingattention and interest in recent years. Imageanalysis often starts with object detection and segmentationproblems. Achieving good accuracy is probably the most importantgoal when solving detection and segmentation problems. More labeleddata often helps train a better model. However, manual annotationis time-consuming and expensive to obtain, and annotation ofbiomedical images is commonly done most effectively by biomedicalexperts. Thus, it is often not realistic to expect large amounts ofwell-labeled data available for every deep learning basedbiomedical image analysis application. Utilizing unlabeled datatogether with labeled data has the potential to train a bettermodel, but unlabeled data often requires certain assumptions andcareful designs to be effectively utilized. The main goal of usingmachine/deep learning for solving detection and segmentationproblems in biomedical image analysis can be summarized asobtaining good accuracy on model-unseen testing images without theneeds of large amounts of labeled trainingdata. For achieving the above-mentioned goal,there are several main focuses in the current research field: (A)better model architectures, (B) better model training methods, ©regularization techniques, (D) ways of utilizing unlabeled data,and (E) ways of utilizing prior knowledge. In this dissertation, wepresent new methods and algorithms that are related to theseresearch focuses. More specifically, we present two new methods forutilizing unlabeled data for model training: (1) deep adversarialnetworks for biomedical image segmentation utilizing unannotatedimages, and (2) a new deep learning method usingalgorithm-generated pseudo-annotations. Furthermore, we present twonew methods on utilizing prior knowledge for segmentation problems:(1) a new decompose-and-integrate learning method, and (2) asegmentation proposal generation method for H\&E stainedhistology images. A new data augmentation technique based onsuper-pixels is then presented as a new regularization techniquefor training biomedical image segmentation networks. Finally, onmodel architectures and training methods development, acoarse-to-fine fully convolutional network is presented forlearning segmentation knowledge in a coarse-to-fine andsimple-to-complex manner. In addition, we further present somealgorithms we developed for ants tracking (building antstrajectories) and ants trajectory analysis.
A Case Introduction of ‘New Content Center’ Incubating System for New Media Contents Startups Managed by Korea Creative Content Agency

Many countries, cities, and individuals all over the world are paying attention to the changes of technological development in the era of the Fourth Industrial Revolution, and are putting a lot of efforts into the daily life. In the era of the Fourth Industrial Revolution, the development of media technology is simply beyond the matter of how we can adapt to it. As the era of last industrial revolutions have always been, we must look for a positive change in our daily life and culture with a new frame. The Korean government is also making efforts to mature companies and foster ecological environment at the national level in the change of technological development. Such an effort should go beyond simply state administration, but at least we are receiving a clear message about what issues we should listen to now.
Arithmetic Operations and Circuits

Arithmetic operations are part of digital signal processing. The arithmetic operations, binary addition and subtraction, are illustrated with examples. The combinational logic circuits for performing addition and subtraction are presented. Binary multiplication and division are illustrated with examples.
LibGuides: Remote Learning Updates: Service Updates

Classes at Pratt are moving online. The Libraries have prepared remote learning updates & resources below.
LibGuides: Remote Learning Updates: Online Learning Tips

Classes at Pratt are moving online. The Libraries have prepared remote learning updates & resources below.
Research Guides: Electronic Resources at The Evergreen State College Library: Electronic Books

This guide aims to bring together all the electronic resources (e-books, e-journals, databases, streaming media) and digital content available through The Evergreen State College Library. This page aims to bring together all the various e-book platforms available through The Evergreen State College Library.
Attitudes, Beliefs, and Development Data Concerning Agile Software Development Practices.

The perceptions and attitudes of developers impact how software projects are run and which development practices are employed in development teams. Recent agile methodologies have taken this into account, focusing on collaboration and shared team culture. In this research, we investigate the perceptions of agile development practices and their usage in Scrum software development teams. Although perceptions collected through surveys of 42 participating students did not evolve significantly over time, our analyses show that the Scrum role significantly impacted participants' views of employed development practices. We find that using the version control system according to agile ideas was consistently rated most related to the values of the Agile Manifesto. Furthermore, we investigate how common software development artifacts can be used to gain insights into team behavior and present the development data measurements we employed. We show that we can reliably detect well-defined agile practices, such Test-Driven Development, in this data and that usage of these practices coincided with participants' self-assessments.
Digital image forgery.

Image control has disintegrated our trust of computerized pictures, with progressively unobtrusive fraud techniques representing a regularly expanding test to the integrity of images and their legi ...