Reviewerly/exHarmony huggingface dataset:
Blood cell tables

The need for an accessible guide to the differentiation of the main forms of blood cells is really great in our country. Unfortunately, the book being parsed will hardly satisfy this need. As for, in particular, drawings, then, of course, some forms - for example, myeloblast lymphoidocyte - are well represented and significantly complement the generally available illustrations. For that, other forms are hardly appropriate in the manual, which should save money on each drawing. This is, for example, fig. ll, I confess I have never met such a basophile; these are fig. 19 and 20, depicting leukoplasts, these cells are so unusual (perhaps the schematization was too influential here) that they would rather embarrass than help in research.
The mediating role of creativity in the relationship between achievement goals and achievement motivation of students

Aim: The purpose of this study was to investigate the role of mediator of creativity in relation to the achievement goals on the Achievement Motivation in students. Method: This research is descriptive and correlational. The sample consisted of 220 students selected by cluster sampling from the students of the University of Mohaghegh Ardebili University in the academic year of 2017-18. To collect the data, the Hermans Achievement Motivation Questionnaire (AMQ), Torrance Tests of Creative Thinking (TTCT), and the Midgley, Kaplan, and Middleton achievement goals were used. Data were analyzed using path analysis and SPSS-20 and LISREL 8.54 software. results: Path analysis showed that the goals of mastery and the goals of the performance approach through the mediating role of creativity have a positive and significant indirect effect on the student's Achievement Motivation. As well as creativity has a direct, positive and significant effect on the student's Achievement Motivation. Conclusion: This research showed that creativity can mediate between the achievement goals and the Achievement Motivation.
Subsampling and Aggregation: A Solution to the Scalability Problem in Distance-Based Prediction for Mixed-Type Data

The distance-based linear model (DB-LM) extends the classical linear regression to the framework of mixed-type predictors or when the only available information is a distance matrix between regressors (as it sometimes happens with big data). The main drawback of these DB methods is their computational cost, particularly due to the eigendecomposition of the Gram matrix. In this context, ensemble regression techniques provide a useful alternative to fitting the model to the whole sample. This work analyzes the performance of three subsampling and aggregation techniques in DB regression on two specific large, real datasets. We also analyze, via simulations, the performance of bagging and DB logistic regression in the classification problem with mixed-type features and large sample sizes.
Learning Density Distribution of Reachable States for Autonomous Systems

State density distribution, in contrast to worst-case reachability, can be leveraged for safety-related problems to better quantify the likelihood of the risk for potentially hazardous situations. In this work, we propose a data-driven method to compute the density distribution of reachable states for nonlinear and even black-box systems. Our semi-supervised approach learns system dynamics and the state density jointly from trajectory data, guided by the fact that the state density evolution follows the Liouville partial differential equation. With the help of neural network reachability tools, our approach can estimate the set of all possible future states as well as their density. Moreover, we could perform online safety verification with probability ranges for unsafe behaviors to occur. We use an extensive set of experiments to show that our learned solution can produce a much more accurate estimate on density distribution, and can quantify risks less conservatively and flexibly comparing with worst-case analysis.
ANALISIS SISTEM INFORMASI AKUNTANSI PENJUALAN DAN PENERIMAAN KAS PADA PT GAMMA UTAMA SEJATI

This study is a qualitative research that aims to find out and analyze accounting information systems, especially in the sales and cash receipts section that are implemented at PT Gamma Utama Sejati. Data collection methods are used through observation, interviews, and documentation, so that the source of data obtained by researchers in the form of primary and secondary data. Based on the results of the analysis conducted by researchers, it can be concluded that the application of the sales and cash receipts system at PT Gamma Utama Sejati is in accordance with accounting theory and operational standards of company procedures and internal controls that are well implemented. This is evidenced by the existence of functions that have been responsible for the tasks, documents and records used, the network procedures that form, authorize, and the distribution of authority. The existing flow chart is not good enough and detailed, so the information described related to the sales and cash receipt system through the flow chart is not complete enough. There are also some weaknesses, namely the system of sales and cash receipts of PT Gamma Utama Sejati still using the manual system and sales activities carried out by the center and the operational section of the mine field causing a slow sales process.
Digital learning, teaching, and collaboration in a time of ubiquitous quarantine

Circumstances surrounding the COVID-19 pandemic have serious implications for a multitude of areas of life. Alongside a decrease in the state of health of a considerable number of people, this global crisis also shows that society – both civil and professional, regardless of the sector – is now facing new technological challenges. Furthermore, due to the extensive quarantine measures and the associated closure of educational institutions, a considerable number of deficits have become apparent in the educational sector, which is particularly evident in communication, collaboration, and teaching. These circumstances show above all that in the fields of digital and non-stationary learning, teaching, and collaboration, there is an enormous amount of untapped potential, which – with regard to the existing tools and methods – is far from being explored. This chapter provides an in-depth review of existing practices and tools for digital and virtual teaching, learning, and collaboration, as well as the necessary conditions and strategies to make the best use of technological opportunities in the future. Turning to the future, this chapter focuses on solutions and strategies for three-dimensional, virtual environments and applications. In addition to existing tools, we demonstrate the possibilities in the field of virtual and three-dimensional teaching and learning environments by the example of the so-called vannotator.
Deterministic preparation of optical qubits with coherent feedback control

We propose a class of preparation schemes for orbital angular momentum and polarisation qubits carried by single photons or classical states of light based on coherent feedback control by an ancillary degree of freedom of light. The preparation methods use linear optics and include the transcription of an arbitrary polarisation state onto a two-level OAM system (swap) for arbitrary OAM values plus/minus l within a light beam, i.e. without spatial interferometer. The preparations can be carried out with unit efficiency independent from the potentially unknown initial state of the system. Moreover, we show how to translate measurement-based qubit control channels into coherent feedback schemes for optical implementation.
Deep Sound Change: Deep and Iterative Learning, Convolutional Neural Networks, and Language Change

This paper proposes a framework for modeling sound change that combines deep learning and iterative learning. Acquisition and transmission of speech is modeled by training generations of Generative Adversarial Networks (GANs) on unannotated raw speech data. The paper argues that several properties of sound change emerge from the proposed architecture. GANs (Goodfellow et al. 2014 arXiv:1406.2661, Donahue et al. 2019 arXiv:1705.07904) are uniquely appropriate for modeling language change because the networks are trained on raw unsupervised acoustic data, contain no language-specific features and, as argued in Beguš (2020 arXiv:2006.03965), encode phonetic and phonological representations in their latent space and generate linguistically informative innovative data. The first generation of networks is trained on the relevant sequences in human speech from TIMIT. The subsequent generations are not trained on TIMIT, but on generated outputs from the previous generation and thus start learning from each other in an iterative learning task. The initial allophonic distribution is progressively being lost with each generation, likely due to pressures from the global distribution of aspiration in the training data. The networks show signs of a gradual shift in phonetic targets characteristic of a gradual phonetic sound change. At endpoints, the outputs superficially resemble a phonological change -- rule loss.
‘해외 초·중등학교 한국어 교육과정’에서의 사회언어적 능력과 화용적 능력

The purpose of this study is to introduce the development of sociolinguistic and pragmatic competences of the Korean Curriculum for elementary and secondary schools overseas. The sociolinguistic competences and the Pragmatic Competences which had not been emphasized, were set as one category of language Competences, and developed to reveal the importance of the sociolinguistic and the Pragmatic competences in the curriculum. The sociolinguistic competences refer to the ability to use language properly socially, and the Pragmatic competences refer to the ability to use language, including discourse Competences. The sociolinguistic competences deal with sociolinguistic appropriateness, including politeness, registers, and socio-cultural implications, etc.. The pragmatic competences were composed of flexibility, turn taking, thematic development, coherence and cohesion, and fluency to present the curriculum. Unlike the existing curriculum, this curriculum is meaningful in that it focuses on language use, including the sociolinguistic competences and the pragmatic competences in the curriculum, and presents detailed competence descriptions. In addition, the curriculum will be differentiated in that it has increased applicability in the field by specifically presenting the situation of discourse suitable for Korean learners in elementary and secondary courses abroad and including Korean expressions that can be treated as educational contents. (Ewha Womans University·The Academy of Korean Studies·Soongsil University)
SISTEM INFORMASI PEMETAAN PANTI ASUHAN DI KOTA BANJARMASIN

The orphanage is a social welfare institution that is responsible for providing substitute services in meeting the physical, mental and social needs of foster children, so that they have broad, appropriate and adequate opportunities for personality development in line with expectations.In the city of Banjarmasin there is no orphanage mapping system that provides information about the orphanage including a map of the location of the orphanage. The government only has information without a map and is difficult to access by the general public who only gets information by word of mouth.The purpose of this research is to design and build an information system regarding the distribution map of Banjarmasin city orphanages along with web-based information making it easier for people to find the location and information of orphanages. In application development using the UML method
On Misbehaviour and Fault Tolerance in Machine Learning Systems

Machine learning (ML) provides us with numerous opportunities, allowing ML systems to adapt to new situations and contexts. At the same time, this adaptability raises uncertainties concerning the run-time product quality or dependability, such as reliability and security, of these systems. Systems can be tested and monitored, but this does not provide protection against faults and failures in adapted ML systems themselves. We studied software designs that aim at introducing fault tolerance in ML systems so that possible problems in ML components of the systems can be avoided. The research was conducted as a case study, and its data was collected through five semi-structured interviews with experienced software architects. We present a conceptualisation of the misbehaviour of ML systems, the perceived role of fault tolerance, and the designs used. Common patterns to incorporating ML components in design in a fault tolerant fashion have started to emerge. ML models are, for example, guarded by monitoring the inputs and their distribution, and enforcing business rules on acceptable outputs. Multiple, specialised ML models are used to adapt to the variations and changes in the surrounding world, and simpler fall-over techniques like default outputs are put in place to have systems up and running in the face of problems. However, the general role of these patterns is not widely acknowledged. This is mainly due to the relative immaturity of using ML as part of a complete software system: the field still lacks established frameworks and practices beyond training to implement, operate, and maintain the software that utilises ML. ML software engineering needs further analysis and development on all fronts.
Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights

With the growth of deep neural networks (DNN), the number of DNN parameters has drastically increased. This makes DNN models hard to be deployed on resource-limited embedded systems. To alleviate this problem, dynamic pruning methods have emerged, which try to find diverse sparsity patterns during training by utilizing Straight-Through-Estimator (STE) to approximate gradients of pruned weights. STE can help the pruned weights revive in the process of finding dynamic sparsity patterns. However, using these coarse gradients causes training instability and performance degradation owing to the unreliable gradient signal of the STE approximation. In this work, to tackle this issue, we introduce refined gradients to update the pruned weights by forming dual forwarding paths from two sets (pruned and unpruned) of weights. We propose a novel Dynamic Collective Intelligence Learning (DCIL) which makes use of the learning synergy between the collective intelligence of both weight sets. We verify the usefulness of the refined gradients by showing enhancements in the training stability and the model performance on the CIFAR and ImageNet datasets. DCIL outperforms various previously proposed pruning schemes including other dynamic pruning methods with enhanced stability during training.
The Role of Multimedia in Increasing Students' Learning Interest of Literacy and Numeracy Culture in Elementary School Students

Looking at the fact that the level of literacy and numeracy culture of the State of Indonesia is very low, numeracy literacy has an important role in culture through daily activities. The purpose of this research is to see if multimedia has an effect on students’ interest in learning, especially in literacy and numeracy activities. Research methods are carried out in the form of qualitative approaches. The subject of this study is Elementary School, Bandung Regency with a population of 20 students from grade 6. The data collection method in this study uses questionnaires. Based on research that has been carried out to the 6 th graders of Elementary School as many as 20 students obtained a comparison of the results of the first and second tests that are quite significant this can be said that the students of the 6 th grade of elementary school feel happy and can understand the material about literacy and numeracy through multimedia compared to the usual learning that is reading.
Complexity in translation studies

This work introduces a machine translation task where the output is aimed at audiences of different levels of target language proficiency.We collect a high quality dataset of news articles available in English and Spanish, written for diverse grade levels and propose a method to align segments across comparable bilingual articles.The resulting dataset makes it possible to train multi-task sequence-to-sequence models that translate Spanish into English targeted at an easier reading grade level than the original Spanish.We show that these multitask models outperform pipeline approaches that translate and simplify text independently.
MLNER: Exploiting Multi-source Lexicon Information Fusion for Named Entity Recognition in Chinese Medical Text

The integration of lexicon information into character-based models is a hot topic in Chinese Named Entity Recognition(NER) research. Most methods only utilize information from a single lexicon which is usually a general lexicon. However, In the Chinese medical text scenario, due to the large amount of medical terminology, a single lexicon, especially a general lexicon, offers little performance improvement to the Chinese NER. In this paper, we propose a Multi-source Lexicon Information Fusion method for Named Entity Recognition in Chinese Medical Text(MLNER) which can utilize information from both general and medical lexicons. Considering the small medical annotated corpus, we combine the model with the pre-trained model to improve the performance of the model on small datasets by exploiting the rich representation capability of the pre-trained model. Experiments show that our method can effectively improve the performance of NER in Chinese medical text. Our model is also applicable to Chinese NER tasks in other domain specific fields, with good scalability and application value.
National Discourse of the Park Jung-hee Regime — Focusing on the Discourse on the use of ‘Hwarang(화랑)’ Expressed through Newspaper Media —

In this article, I tried to understand The National Discourse appearing in newspaper articles during the Park Jung-hee regime. In particular, among newspaper reports related to national discourse, I analyzed articles related to Hwarang, Park Jung-hee, nationalism, or nationalism, and analyzed the content and meaning of National Discourse that linked and utilized galleries during the Park Jung-hee regime. The following is a summary of the terms expressed or mentioned in connection with the Hwarang in the national discourse that appeared in the newspaper reports, based on the ideological or spiritual aspect. National spirit, national identity, democracy, ideology and spirit of the National Education Charter, Yushin ideology, Saemaul spirit, Philosophy of national reunification in the 1980s, etc. In the ‘Hwarang and the Hwarang Spirit’ discussed in the nationalist discourses or national discourses of the Park Jung-hee regime, the content that ‘he gave his life or devoted himself to the unification of the three countries’ was particularly emphasized. I think, The link between Hwarang and Hwarang spirit in the national discourse of the Park Jung-hee administration was essential not only at the regime level but also at the personal level of Park Jung-hee - to cover or dilute the national and historical disgrace as much as possible with “Korea Military Academy and ‘Hwarang’”. Park Jung-hee and his administration linked and utilized galleries to assert that they had historical legitimacy in the ideology and policies they particularly emphasized or produced, or spread such historical awareness. By doing so, he maintained his long-term power while justifying and rationalizing the dictatorship, consolidating and stabilizing it. In response to this, most of the newspaper articles related to national discourse linked to ‘Hwarang’, except for Hwang Hwang-deok’s “Characteristics of the May 16 Military Revolution” in 1962 - sympathized with, and defended as a logical and systematic argument.
LibGuides: OER @ HFC (Open Educational Resource): Humanities OER

Everything you want to know to adopt, adapt, or create OERs for your class Use this template to organize the pages specific to academic areas
Smart Digital Electronic Portrait Pool

Photos either portrait or full pictures serve different functions which include but not limited to hark back to events; remember personalities, etc. The collection of photos is popularly refers to as photo album. The creation of photo albums is mainly to keep record of event and attached to photos. Portrait photos collections are currently been used as indication of occupants of offices within a particular period of time and in such case the number increases as the number of occupants of the office increases. This work is focused on design of an electronic digital portrait in the form of a slideshow whereby multiple images can be displayed in a single frame we use a Raspberry Pi 3 motherboard technology with some of it features related to the design connected to a LCD monitor via a HDMI interface. The components was interfaced using phase testing approach and the output was packaged hanging and displaying of stored portrait.
On the performance sound design of a stringed instrument by the control of the stiffness and mass of the component part

This study investigates the difference of performance sounds of an electric guitar with a metal pickguard. The sounds of the open strings of the guitar are measured, showing that the damping time becomes shorter than that obtained with a commonly used plastic pickguard. Further, it was also found that the sounds of the 1 and 2 strings were distinct and those of the other strings were slightly suppressed when the metal pickguard was used. Therefore, the metal pickguard is effective in making sharp, clear, and distinct sounds. We changed the material of the pickguard from plastic to copper. In the experiments, simultaneous measurements of the vibrational acceleration of the peg, pickguard, and output voltage of the guitar with a constant plucking force of the strings were performed. It was found that the profile of the RMS value of the vibrational acceleration of the pickguard changed when the copper pickguard was used. Moreover, the vibrational modes of copper the pickguard were different than the others. In conclusion, it was determined that the sound quality is affected by the vibrational characteristics; thus, it can be adjusted by varying the means by which the pickguard is attached to the guitar body.
MSGDD-cGAN: Multi-Scale Gradients Dual Discriminator Conditional Generative Adversarial Network

Conditional Generative Adversarial Networks (cGANs) have been used in many image processing tasks. However, they still have serious problems maintaining the balance between conditioning the output on the input and creating the output with the desired distribution based on the corresponding ground truth. The traditional cGANs, similar to most conventional GANs, suffer from vanishing gradients, which backpropagate from the discriminator to the generator. Moreover, the traditional cGANs are sensitive to architectural changes due to previously mentioned gradient problems. Therefore, balancing the architecture of the cGANs is almost impossible. Recently MSG-GAN has been proposed to stabilize the performance of the GANs by applying multiple connections between the generator and discriminator. In this work, we propose a method called MSGDD-cGAN, which first stabilizes the performance of the cGANs using multi-connections gradients flow. Secondly, the proposed network architecture balances the correlation of the output to input and the fitness of the output on the target distribution. This balance is generated by using the proposed dual discrimination procedure. We tested our model by segmentation of fetal ultrasound images. Our model shows a 3.18% increase in the F1 score comparing to the pix2pix version of cGANs.