Reviewerly/exHarmony huggingface dataset:
Predicting L2 Speaking Proficiency Using Syntactic Complexity Measures: A Corpus-Based Study

This paper discusses the syntactic complexity factors contributing to the achievement of a higher proficiency level in English speech. Here I have examined complexification at the sentential, clausal, phrasal and nominal level of syntactic organisation in a Korean learner spoken corpus using quantitative measures and compared the scores with holistic ratings of learners’ overall speaking quality. After the normality assumption analysis confirmed that the logistic regression was appropriate, an analysis was performed to ascertain the effects of complexity measures on participants’ L2 proficiency. First, length-based complexity features, namely, MLT and coordinated phrases, namely, CPT and CPC were found to be predictors for English speaking proficiency. Next, the logistic regression model was statistically significant and explained 36.3% of the variance in classification according to L2 proficiency and correctly classified 75.4% of cases. Results also showed that when learners come to use the coordinated phrases per clause proficiently, they were over 24 times more likely to achieve higher proficiency in spoken English. Finally, an effective equation was proposed to help educators classify EFL learners according to proficiency in L2 speech after gauging the selected complexity dimensions. However, more comprehensive studies which consider other methods of unit segmentation for spoken data or include more measures to predict L2 speech proficiency, are necessary to verify the results of this study. Keywords: Learner spoken corpus; Syntactic complexity; Monologue; EFL; Logistic regression
PLANNING POKER

Estimating and Planning is very important for the success of any project, it is the key factor to its successful conclusion. In software project management there has been a shift from traditional plan management to agile project management. Agile project management has been viewed as the new big change in the software industry. The Project Management Institute (PMI) was founded in 1969 and offers industry-leading certifications for project management professionals. PMI, which was traditionally best known for its traditional project management certifications, has just recently started offering an agile alternative. It can certainly be said that Planning poker is becoming the new standard for software development projects. The concept of it has been around for some time, and although knowledge and usage are increasing. Understanding when to use it and which success factors to consider is important to achieve success. Terminologies: ● User - a user participating in Poker Planning. ● Group - A group of users participating in Poker Planning. ● Poker board - a Dashboard where users would be playing the game. ● Ticket - A Ticket is a JIRA issue. Keywords: PokerPlanner, Agile, Software Development, JIRA, Web Applications
MSR Science Planning Group 2 (MSPG2): Planning for the curation of MSR samples in a Sample Receiving Facility

Earth and Space Science Open Archive PosterOpen AccessYou are viewing the latest version by default [v1]MSR Science Planning Group 2 (MSPG2): Planning for the curation of MSR samples in a Sample Receiving FacilityAuthorsKimTaitiDFrancisMcCubbinCarolineSmithCarlAgeeDavidBeatyHennerBusemanniDBrandiCarrierBarbaraCavalazziVincianeDebailleAuroreHutzlerTomohiroUsuiiDSee all authors Kim TaitiDCorresponding Author• Submitting AuthorRoyal Ontario MuseumiDhttps://orcid.org/0000-0001-5403-2727view email addressThe email was not providedcopy email addressFrancis McCubbinNASA Johnson Space Centerview email addressThe email was not providedcopy email addressCaroline SmithNatural History Museumview email addressThe email was not providedcopy email addressCarl AgeeUniv New Mexicoview email addressThe email was not providedcopy email addressDavid BeatyJet Propulsion Laboratoryview email addressThe email was not providedcopy email addressHenner BusemanniDETH ZurichiDhttps://orcid.org/0000-0002-0867-6908view email addressThe email was not providedcopy email addressBrandi CarrierJet Propulsion Laboratory/California Institute of Technologyview email addressThe email was not providedcopy email addressBarbara CavalazziUniversità di Bolognaview email addressThe email was not providedcopy email addressVinciane DebailleUniversité Libre de Bruxellesview email addressThe email was not providedcopy email addressAurore HutzlerEuropean Space Agencyview email addressThe email was not providedcopy email addressTomohiro UsuiiDJAXA Japan Aerospace Exploration AgencyiDhttps://orcid.org/0000-0002-4653-293Xview email addressThe email was not providedcopy email address
NSW parliament’s oversight of human rights in the first year of the COVID-19 pandemic

New South Wales (NSW) relies on a robust application of the Westminster system of government for its human rights protection. In 2020, the system was subjected to a major stress test via the COVID-19 pandemic, with new public conditions imposed on previously unregulated individual freedoms. The author examines the extent to which human rights featured in NSW parliament’s oversight of the 2020 pandemic response and finds it inadequate. The author concludes that the case study demonstrates a need for the state’s human rights protection model to be reconsidered.
Feedback

The cross-cutting collaborative project FEEDBACK: Vibrotactile Materials Informing Artistic Practice searches for transformative artistic potential through the experience of co-making new musical instruments. We aim to explore vibrational modes in materials and an embodied interaction with these objects. The concept of feedback across nature and culture inspires and pervades our art and engineering collaboration to explore the inherent resonant properties, metaphorical readings and new aesthetics of these materials. Co-creating new dialogic spaces between practitioners’ diverse and at times opposite processes inform polymorphic art practices in asynchronous ways. Our work is based on research into engineering natural and artificial materials which are developed in tandem with musical and technological devices. Custom programming is a key area of experimentation, providing an applied context for a feedback loop with dance, music and performance art. This prospective contribution presents the project and reflects on aesthetic and practical lessons learned through this multi-disciplinary collaboration.
Kernel-based adversarial attacks and defenses on support vector classification

While malicious samples are widely found in many application fields of machine learning, suitable countermeasures have been investigated in the field of adversarial machine learning. Due to the importance and popularity of Support Vector Machines (SVMs), we first describe the evasion attack against SVM classification and then propose a defense strategy in this paper. The evasion attack utilizes the classification surface of SVM to iteratively find the minimal perturbations that mislead the nonlinear classifier. Specially, we propose what is called a vulnerability function to measure the vulnerability of the SVM classifiers. Utilizing this vulnerability function, we put forward an effective defense strategy based on the kernel optimization of SVMs with Gaussian kernel against the evasion attack. Our defense method is verified to be very effective on the benchmark datasets, and the SVM classifier becomes more robust after using our kernel optimization scheme.
On Protocol Sentences*

The questions of whether the protocol sentences occur outside or inside the system language and of their exact characterization are, it seems to the author, not answered by assertions but rather by postulations. The object can also be an organism, e.g., a tree which perhaps by the shape and placement of its branches reacts to certain properties of the soil and air. The signals of the machine and the statements of the man are treated like sentences of a language in that translation rules are constructed for them. Each protocol sentence can be translated into our system language in accordance with the B-rules as well as with the T-rules. Concrete system sentences can be acquired from the given protocol sentences at any time with the help of these rules. Every concrete sentence of the physicalistic system language can serve under certain circumstances as a protocol sentence.
Designing the sewerage network of the city in purpose to reduce impact to the environment and water bodies

Abstract Today, the study of the city’s sewerage network is an important part of the life of the city and the environment. Ensuring optimal living conditions not only for oneself, but also for other participants in the environment should be a priority for a person. Today we can face various problems that complicate the operation of the city sewer network and can cause detrimental effects on the environment. To prevent this impact on the environment, you first need to understand the cause of this impact, and then look for a solution. Wastewater is a pollutant of rivers, lakes and the water system in general. Wastewater is formed in connection with human activity, the appearance of rainwater, as well as under the influence of industrial enterprises. The purpose of the article is to develop the management of wastewater flows within the city sewer network to ensure the highest quality water clarification and minimize environmental harm.
Multi-scale Fusion for Visible Watermark Removal

Considering the diversified features of visible watermarks and the need for a lot of manual operations to remove visible watermarks, we propose watermark removal algorithm based on multi-scale fusion and deep learning, which is suitable for automatic detection and removal of various watermarks. We present a two-step framework: watermark detection and watermark removal. Firstly, we use target detection algorithm to extract the watermark. Then, we adopted the image-to-image translation method based on multi-scale fusion to remove the watermark, and the self-guided loss is added into the loss function. Finally, we conducts comprehensive evaluation on different datasets. Experimental results show that this framework is feasible in practical application, and the proposed network structure is superior to the existing methods in the accuracy of watermark removal.
The Quality Vortex

This chapter examines the role that team members play in ensuring quality on projects. An information technology project, especially a large one, is complex. Requirements must be gathered from people who often do not understand their needs. To convert these into a working solution requires the application of highly advanced technologies whose external projection of simplicity belies an awesome underlying complexity. The role of the development teams was to develop a suite of applications previously conceptualized by the product manager in conjunction with the users. Like any vortex, one must break the vacuum at the bottom in order to stop it. This means that one must invest time and techniques in the people at the coalface of the project. There is normally a strong aversion to quality planning. At the beginning of a project, there is typically a rush to get things going and to show that something is being done, and people do not take time to plan.
Recommendation algorithm based on attributed multiplex heterogeneous network

In the field of deep learning, the processing of large network models on billions or even tens of billions of nodes and numerous edge types is still flawed, and the accuracy of recommendations is greatly compromised when large network embeddings are applied to recommendation systems. To solve the problem of inaccurate recommendations caused by processing deficiencies in large networks, this paper combines the attributed multiplex heterogeneous network with the attention mechanism that introduces the softsign and sigmoid function characteristics and derives a new framework SSN_GATNE-T (S represents the softsign function, SN represents the attention mechanism introduced by the Softsign function, and GATNE-T represents the transductive embeddings learning for attribute multiple heterogeneous networks). The attributed multiplex heterogeneous network can help obtain more user-item information with more attributes. No matter how many nodes and types are included in the model, our model can handle it well, and the improved attention mechanism can help annotations to obtain more useful information via a combination of the two. This can help to mine more potential information to improve the recommendation effect; in addition, the application of the softsign function in the fully connected layer of the model can better reduce the loss of potential user information, which can be used for accurate recommendation by the model. Using the Adam optimizer to optimize the model can not only make our model converge faster, but it is also very helpful for model tuning. The proposed framework SSN_GATNE-T was tested for two different types of datasets, Amazon and YouTube, using three evaluation indices, ROC-AUC (receiver operating characteristic-area under curve), PR-AUC (precision recall-area under curve) and F1 (F1-score), and found that SSN_GATNE-T improved on all three evaluation indices compared to the mainstream recommendation models currently in existence. This not only demonstrates that the framework can deal well with the shortcomings of obtaining accurate interaction information due to the presence of a large number of nodes and edge types of the embedding of large network models, but also demonstrates the effectiveness of addressing the shortcomings of large networks to improve recommendation performance. In addition, the model is also a good solution to the cold start problem.
Perancangan program aplikasi perpustakaan berbasis java pada smp Al-Muhajirin

The purpose of the research entitled "Designing Java-Based Library Application Programs at the AL-MUHAJIRIN Middle School Library" which was designed with Netbeans IDE, XAMPP, and MySQL as the database, namely to assist the processes of transaction activities in the library and facilitate librarians in making student data reports, book data, loan data, return data, so there is no need to use paper media anymore. The design of this library application program goes through several stages, namely the requirements stage, the analysis stage, the design stage and implementation stage, and the deployment stage. In the process of making research reports and collecting data, the authors use qualitative research methods in the form of literature studies, observations and interviews conducted at Al-Muhajirin Junior High School located in Depok. To analyze this application, the author uses object-oriented analysis with Unified Modeling Language (UML).
A Study on the Content Appropriateness of the 2015 Revised Elementary and Middle School English Curriculum: Focusing on Content Organization

The study aims to analyze whether the contents of elementary and middle school English of the 2015 revised English curriculum are properly organized. To this end, a survey of elementary and middle school English teachers and qualitative analysis on the educational content section of the curriculum, "3. Content System and Achievement Standards" were conducted. The results suggested that the educational contents of the 2015 revised English curriculum are structured in consideration of the sequence and hierarchy between grade levels and among content areas. In addition, it can be said that the proportion of educational content between areas is appropriately organized. However, educational contents of certain areas or grade levels need to be adjusted in terms of function of the content scheme, the range of new vocabulary available by school levels, or achievement standards. In addition, it can be seen that some areas need improvement in terms of the proportion of educational content between areas. The results of this study are expected to contribute to the revision of the next English curriculum.
REAL-TIME AMERICAN SIGN LANGUAGE RECOGNITION WITH NEURAL NETWORKS

Actual-time signal language translator is a crucial milestone in facilitating communication among the deaf community and the general public. Introducing the development and use of yanked sign Language Spelling Translator (ASL) based on the convolutional neural network. We use the pre-skilled Google Net architecture educated inside the ILSVRC2012 database, in addition to the ASL database for Surrey University and Massey university ASL to apply gaining knowledge of switch in this task. We have developed a sturdy version that constantly separates the letters a-e from the original users and any other that separates the spaced characters in maximum cases. Given the limitations of the information sets and the encouraging consequences acquired, we are assured that with similarly studies and further facts, we can produce a totally customized translator for all ASL characters. Keywords: Sign Language, Image Recognition, American Sign Language, Expressions signals, CNN
A Critical Analysis of Legal and Policy Responses to the COVID-19 Pandemic and its Long-term Impacts in Taiwan

The COVID-19 pandemic has dramatically impacted public health and economic and social stability worldwide since the WHO’s Public Health Emergency of International Concerns declaration in early March 2020. The COVID-19 virus was first discovered in December 2019 in Wuhan city, China, and eventually resulted in the global pandemic, of which the cumulative cases have reached 181,367,824 at the time of writing. Taiwan encountered severe public health threats because of the frequent travelers as many as 10 million who commuted annually between mainland China and Taiwan. Recognizing the imminent threats arising from an intensive flow of people from mainland China due to the lockdown policy adopted by the Chinese government, Taiwan has adopted strict border control, sophisticated contact tracing and monitoring measures, and most importantly the securing of sufficient Personal Protection Equipment supply for citizens to prevent community spread. Taiwan’s quick and precise COVID-19 response at the early stage of containing the virus has been proven very successful since the outbreak of the COVID-19 global pandemic in late February 2020. Taiwan is now struggling to fight the recent outbreak for lacking sufficient vaccines and testing capacities and shall learn from other country’s experience for countermeasures against a massive epidemic. This article aims to explore the key elements for the early success of containing the COVID-19 virus, including the comprehensive legal framework for preventing infectious disease, highly trained public health officials and governance system, and citizen self-awareness. The article then discusses the potential legal controversies and their long-term impacts on Taiwan. Finally, this article provides the concluding observation and suggestions for fighting massive infectious diseases.
A New Approach to the Improvement of the Federated Deep Learning Model in a Distributed Environment

The federated deep learning model has been successfully studied and applied in a distributed environment. The method aggregates the weight set on the server by averaging the component weight sets. The limitation of the method is that the number of training samples on the clients is different but the weights are averaged, so the importance of the component weight sets cannot be clearly shown. Therefore, this paper proposes a new method to synthesize the weight set for the distributed federated deep learning model based on the importance of the component weight sets. The importance is proportional to the number of training data samples. That is, the larger the dataset size, the more important the weight set. The proposed method is tested with the MNIST dataset by the K-fold method. The improved accuracy compared to the old method is 2.54%.
Flag: a Self-Dual Modality for Non-Commutative Contraction and Duplication in the Category of Coherence Spaces

This paper is dedicated to the memory of my parents, both math teachers, both deceased in 2021.After reminding what coherences spaces are and how they interpret linear logic, we define a modality "flag" in the category of coherence spaces (or hypercoherences) with two inverse linear (iso)morphisms: "duplication" from (flag A) to ((flag A) ◁ (flag A)) and "contraction" in the opposite directionwhere ◁ is the self dual and non-commutative connective known as "before" in pomset logic and known as "seq(ential)" in the deep inference system (S)BV.In addition, as expected, the coherence space A is a retract of its modal image (flag A).This suggests an intuitive interpretation of (flag A) as "repeatedly A" or as "A at any instant" when "before" is given a temporal interpretation.We hope the semantic construction of flag(A) will help to design proof rules for "flag" and we briefly discuss this at the end of the paper.
Edukimia - Vol. 03, No. 03 - Front Cover, Table of Contents, and Editorial

Front Cover, Table of Contents, and Editorial
Risk controlling system at the university

The description of the structure and elements of the risk controlling system is given; the tools for risk controlling, the tasks of risk controllers were considered, and options for positioning the risk controlling unit in the organizational structure of the university management were proposed; Insufficient supply in the market of software for risk management and controlling at the university was noted.
Psychoemotional impact of moral-religious education in the family, school and Church

The human person is not a static being, he must be understood as a dynamic being, in constant development. Its continuous evolution concerns both the psychological structure (intelligence, character, emotion) and biological infrastructure (or body) and the social superstructure (or society). From an objective angle, the being is as far as the body is seen. From the point of view of the soul, however, the being never stops at the frontier of the body. It is not only us, but also the family in which we were born, the marriage we have established, the profession we have, the class and the nation we belong to, etc. The present paper aims at the development of the personality from the perspective of the family, the school and the Church, as fundamental factors of education. The importance of such a topic lies in the practical approach by researching the current phenomenon of education in terms of the factors mentioned. The interest for this topic was born from the interdisciplinary psychological and theological approach. The two fields of research have in common the issue of the human being, one emphasizing its social role, the other emphasizing its spiritual dimension.
Learnings from the introduction of the Hologic LOCalizer radiofrequency identification(RFID) tags, for screen detected breast cancers at a single centre.

Thank you very much for joining EUSOBI 2021 ONLINE and celebrating the Breast Cancer Awareness Month with us! This year we had a terrific programme and we are indebted to Dr. Ritse Mann and his Programme Committee for all their hard work in putting this together. We had a wonderful selection of international speakers who gave the latest updates in all your favourite topics and ensured that you are kept up to date with the latest developments in breast imaging. A special focus was given to the interactivity of this year’s programme, by adding expert discussions and concluding with the first virtual edition of our famous Breast Interpretation Quiz. Thanks to all of you who submitted abstracts and therefore having been an important part of this scientific event. We are also very grateful for the support of our industry partners who are listed here: https://www.eusobi.org/congress-sponsors-2/ Most of them have contributed to the extension of our scientific programme by offering interesting sessions and workshops. Have a look by scrolling through all sessions. All sessions have been recorded and are available on-demand.