Reviewerly/exHarmony huggingface dataset:
Super-resolution of Multi-view ERP 360-Degree Images with Two-Stage Disparity Refinement

In this paper, we propose a novel super-resolution (SR) technique for multi-view 360-degree images in equirectangular projection (ERP) format. To the best of our knowledge, the proposed algorithm is the first study of multi-view 360-degree images in ERP. In multi-view SR (MV-SR), it is important to fuse the knowledge of features at different viewpoints, but the task is hardly achieved using a conventional CNN because conventional convolution is shift invariant. Thus, to solve the problem, we take a coarse-to-fine approach to exploit the correlation among multi-views in an ERP domain. First, we conduct depth-based warping on reference ERP to synthesize the image with the same viewpoint of the target low-resolution (LR) ERP. The non-linear distortion between the two ERP images can be remarkably reduced after the proposed warping. Second, we employ a flow estimator to refine the remaining flow between the warped reference image and the LR image. Our CNN architecture generates the SR at the end of the network by combining the features of LR-ERP and the warped reference ERP. It is demonstrated with experimental results that the proposed algorithm provides significantly improved quality of multi-view 360-degree images for SR as compared to the state-of-the-art in MV-SR.
RANCANG BANGUN DIAGNOSA PENYAKIT AYAM PEDAGING (BROILER) DAN PETELUR DENGAN METODE CERTAINTY FACTOR BERBASIS ANDROID

Chicken farming is a profitable business for both breeding broilers and native chickens. In the chicken farm business, disease is one of the risks that must be faced by breeders. Expert systems are Artificial Intelligence which make special extensions to specialization of knowledge to solve a problem. Human Expert is someone who is an expert in a certain field of science. The inference method used is Certainty Factor, which has more than one rule and consists of several premises that are connected with AND or OR. The data entered is in the form of symptoms leading to a conclusion, namely the conclusion of the disease suffered and providing solutions regarding treatment and prevention suggestions based on the visible symptoms of the chicken's physical appearance. Design and build expert systems capable of identifying diseases and providing information on how to deal with them to chicken breeders. In the results of the trial, it can be concluded that the application can run well and provides an alternative in using android-based broiler and laying disease diagnosis systems and chicken farm owners can diagnose the disease early before the disease spreads to healthy chickens. Keywords : Expert System, Chicken Disease, Certainty Factor
Container management with Windows Admin Center

I hope at this stage you are feeling way more comfortable with Windows Containers and Docker’s command line overall. I bet you’d be able to take on a project that involves Windows Containers and that you’d ace the process of setting up container hosts, ensuring the right architecture is in place for storage and networking, that you’re using the appropriate isolation mode, and that you’d be able to take an existing application running on a VM and move it to a container. This is all great and an important foundation for many other aspects of managing Windows Containers.
THE INFORMATION LITERACY ABILITY OF HOUSEWIVES IN PREVENTING COVID-19

Housewives have an important role in maintaining family health, especially in the midst of thispandemic, so that information literacy skills are needed for the increasing prevention of COVID-19. Theresearch method used quantitative, while the data collection techniques were carried out by distributingquestionnaires, observation and interviews. The results showed that based on 8 sub-variables of informationliteracy abilities in housewives, it resulted in average, good and very good categories. The average value ofthe information contained in the evaluation variables and integration of information. Good categories existin the variables aware of information needs, variables aware of the role of information as decision making,information seeking strategy variables, and information organization variables. Lastly, which is included inthe very good category is the variable identification of information sources and the variable access toinformation sources with the presence of housewives who are literate about COVID-19 information, it ishoped that cases of corona virus infection will soon decrease.
Scalable quantum computer with superconducting circuits in the ultrastrong coupling regime

So far, superconducting quantum computers have certain constraints on qubit connectivity, such as nearest-neighbor couplings. To overcome this limitation, we propose a scalable architecture to simultaneously connect several pairs of distant qubits via a dispersively coupled quantum bus. The building block of the bus is composed of orthogonal coplanar waveguide resonators connected through ancillary flux qubits working in the ultrastrong coupling regime. This regime activates virtual processes that boost the effective qubit–qubit interaction, which results in quantum gates on the nanosecond timescale. The interaction is switchable and preserves the coherence of the qubits.
Deep situated listening among hearing heads and affective bodies

This chapter argues for a new listening practice for electroacoustic music (EAM) that I call “deep situated listening”. “Deep situated listening” builds on existing EAM theories, aesthetics and practices – which I here collectively refer to as the “hearing heads” approach – but extends this approach by adding an explicitly feminist perspective. “Deep situated listening” combines Donna Haraway’s notion of “situated knowledge” with Pauline Oliveros’ concept of “deep listening”. In order to relate this to the EAM concert situation, I define the concert event as a “plane of immanence” constituted by “affective bodies” (as defined by Gilles Deleuze) that are perceived in time as dynamic. In line with feminist thinking, my conceptualization is developed in dialogue with the empirical material I present: two EAM concerts experienced in Tillburg, Holland in 2018 and New York City in 2011, as well as an interview with Pauline Oliveros. The chapter seeks therefore to contribute not only to an extension of existing listening paradigms, but also to the development of a new methodological approach within the field of EAM studies.
Learning a Non-Redundant Collection of Classifiers

Supervised learning models constructed under the i.i.d. assumption have often been shown to exploit spurious or brittle predictive signals instead of more robust ones present in the training data. Inspired by Quality-Diversity algorithms, in this work we train a collection of classifiers to learn distinct solutions to a classification problem, with the goal of learning to exploit a variety of predictive signals present in the training data. We propose an information-theoretic measure of model diversity based on minimizing an estimate of conditional total correlation of final layer representations across models given the label. We consider datasets with synthetically injected spurious correlations and evaluate our framework's ability to rapidly adapt to a change in distribution that destroys the spurious correlation. We compare our method to a variety of baselines under this evaluation protocol, showing that it is competitive with other approaches while being more successful at isolating distinct signals. We also show that our model is competitive with Invariant Risk Minimization under this evaluation protocol without requiring access to the environment information required by IRM to discriminate between spurious and robust signals.
해방직후 잡지 『아동』 연구

The purpose of this study is to grasp the characteristics magazine 『Adong 兒童』 formed in Daegu after liberation. The significance of the magazine 『Adong』 identified in this study is summarized in two ways. First, it was a literature-oriented magazine with a child''s cultural life in mind. The other is that the magazine was edited around children’s literature writers in Daegu.The magazine 『Adong』 was published in a short period of time. However, it is meaningful in that the Daegu Children’s Literature Group was united around Park Young-jong in the space of liberation.Among these, the magazine 『Adong』 introduces foreign fairy tales by translating them. Like this, a magazine 『Adong』 published a number of literary works, ranging from the first issue to children''s songs, fairy tales and translated fairy tales.Based on this fact, 『Adong』 was a literature-oriented children’s magazine for children’s readers.
INVESTIGATING THE EFFECT OF KNOWLEDGE MANAGEMENT ON THE NEW SERVICES DEVELOPMENT IN THE INSURANCE INDUSTRY BY CONSIDERING THE ROLE OF OPENINNOVATION AND RADICAL INNOVATION VARIABLES

This research was conducted to investigate the effect of knowledge management, open innovation and radical innovation on the new servicesdevelopment in the insurance industry. The research ahead is applied and its approach is descriptive-survey. In this research, senior and middlemanagers of the insurance companies active in Iran were considered as statistical population, the number of whom was 250 people. Based on theCochran's formula, 148 statistical samples were required for this population. In the present research, the available stratified sampling method hasbeen used to select statistical samples. The research data collection tool was a researcher-made questionnaire consisting of four standardquestionnaires containing 51 items in themselves. The validity of this questionnaire was investigated and confirmed through face validity andconfirmatory factor analysis methods. The reliability of the questionnaire was also investigated and confirmed by Cronbach's alpha method. Thedata obtained from the questionnaires were analyzed using descriptive and inferential methods and through SPSS and LISREL software. At the end,the research results showed that in the population under study, knowledge management has a significant impact on open innovation, radicalinnovation and the new services development.
With advances in information Technology can we Minimise errors in Histopathology?

Accurate patient identification is key to ensure the correct administration of therapies. Mix-up of patients’identification and lack of a failsafe system remain common factors in producing erroneous pathology reports or giving the wrong treatment to patients with potential serious ramifications. This paper illustrates the importance of accurate patients’ identification and appropriate action by the clinicians on histology reports. We document 5 cases in which mistakes happened with variable consequences despite robust clinical and laboratory safety measures.
Library Guides: LibKey Nomad: Getting Started

Learn how to get one-click access to ISU library resources using the LibKey Nomad browser extension.
Binocular stereo vision assisted industrial robot online motion compensation analysis and trajectory fitting

This paper conducts research from two aspects of binocular stereo vision-assisted industrial robot online motion compensation analysis and trajectory fitting. In order to meet the operational requirements of binocular stereo vision in various situations in practical applications, a navigation identifier is designed next to the route guide, so that the extracted identifier information can be accurately identified by the matching algorithm. At the same time, the traditional matching algorithm is improved, and a template matching algorithm based on character refinement is proposed, which improves the recognition rate and accuracy. After extracting the centre line of the path, take straight paths, arc paths, and non-arc paths as the research objects, use mathematical models to calculate the deviation parameters of the path, and finally use a curvature estimation method to classify different path models, and pass the experiment verifies the feasibility of this classification method and improves the accuracy of visual guidance path measurement. Through the research of this paper, provide theoretical support for the binocular stereo vision assisted industrial robot.
Alla ricerca di un lessico comune: inte(g)razioni tra diritto e scienze della vita in prospettiva comparata

The article assumes the existence of various form of integration of rules produced by Parliament and declares the physiology of this process, especially when science is involved in the regulation of biolaw. The focus moves then on thecharacteristics of such integration, with a specific focus on what is defined ‘endo”-legislative integration. Accordingly, a systematisation of different legislative techniques which can be implemented in order to open legislative text to the scientific dimension, which is based on the identification of the tools, nature, subject and object of reference to science. The comparative analysis of the relevant constitutional case-law contributes to confirm the existence of a direct link between the legitimacy of the law and the inclusion of science in both law-making and law-enforcement processes.Keywords: Biolaw; Legislative techniques; Constitutional justice; Science; Co-production.
Large-scale distributed and scalable SOM-based architecture for high-dimensional data reduction

Machine learning such as self-organizing feature maps (SOMs) is a commonly used technique for clustering and data dimensionality reduction. In fact, their inherent property of topology preservation and unsupervised learning of processed data put them in the front of candidates for data reduction. However, the high computational cost of SOMs limits their use to offline approaches and makes the on-line real-time high-performance SOM processing more challenging. This chapter focus on the large-scale distributed and scalable SOM model adapted for distributed computing nodes and present the main challenges for its adoption in the resources limited environments.
Exploring the Potential of Looped Material in DAW-Based Music Creation (Advanced)

This chapter describes a lesson that gets learners to go beyond the loop paradigm typical to most DAW production environments by encouraging a focus on the musical content of looped materials. Students will develop skills using a DAW’s MIDI editing facilities for “re-calculating” musical content, such as note value augmentation/diminution and pitch transposition. In addition, students will investigate the potential of musical materials for variation, transformation, and re-combination in the context of extended musical structures. One of the key learning outcomes of this exercise is understanding that looped material need not remain a static and unaltered building block in a composition/production.
CONSISTENCY OF PRIVACY VIEWS ON HIPPOCRATIC AND MULTILEVEL DATABASES USING SMART CONTRACTS

Nowadays the whole world is immersed in data. Starting from creating the data, using the data, sharing the data, everyone has control of their respective data. Even the companies rely highly on data as all of their storage and analysis have been computerized. In most traditional methods, the database which is being deployed is deemed trustworthy. But the threat always persists no matter how secure the database is. Attackers perform various types of attacks possible to gain access, tamper or perform any kind of compromising action on the database which will hamper the working of a company/individual.So, the goal is to achieve security against those attacks and additionally avoiding users to obtain information which they are not authorized to.However, there exists a series of relational data such as medical databases where there are two or more parties involved in a database and the trust factor automatically takes a hit. In this paper, I propose a model, that provides authorization, confidentiality, accessibility and privacy for a healthcare database.
Semi-supervised counterfactual explanations

Counterfactual explanations for machine learning models are used to find minimal interventions to the feature values such that the model changes the prediction to a different output or a target output. A valid counterfactual explanation should have likely feature values. Here, we address the challenge of generating counterfactual explanations that lie in the same data distribution as that of the training data and more importantly, they belong to the target class distribution. This requirement has been addressed through the incorporation of auto-encoder reconstruction loss in the counterfactual search process. Connecting the output behavior of the classifier to the latent space of the auto-encoder has further improved the speed of the counterfactual search process and the interpretability of the resulting counterfactual explanations. Continuing this line of research, we show further improvement in the interpretability of counterfactual explanations when the auto-encoder is trained in a semi-supervised fashion with class tagged input data. We empirically evaluate our approach on several datasets and show considerable improvement in-terms of several metrics.
Equalizer Elements (Intermediate)

From commercial music production to audio-visual art practices, any sonic creation needs to present a balanced output for an immersive and captivating listening experience. This activity focuses on the frequency domain with equalizer (EQ) to achieve timbres that are precise and balanced. Using a DAW to EQ gives leaners an important tool for creating music, especially in the area of music production. It also encourages the user to experiment with some of the fundamental concepts of EQ for unique results. By engaging in this lesson, students gain experience listening to music not just in terms of pitch and rhythm, but as timbres that are malleable with EQ.
The Impact of Stress and Quality of Life of Korean University Students: Partial Mediating Effects of Social Support and Self Esteem

The purpose of conducting this study was to verify the partial mediating effects of social support and self -esteemon the impact of stress and quality of life among Korean university students. The data were analyzed in the final 443 copies of university students enrolled in 4 universities located in D metropolitan area, and SPSS Win 22 was used to analyze with ANOVA, regression analysis, and Sobel-test. As a result of confirming the impact of stress, support and self-esteemon the quality of life of Korean university students, the quality of life was significantly predicted by 49.4% of stress and social support, and 41.8% of stress and self-esteem. With lower stress andhigher self-esteem and social support, quality of life was higher, and it has been confirmed that self-esteem and social support are partially mediatesthe impact of stress in quality of Korean university students. Thus, it was confirmed that social support and self-esteemimprove the quality of life by mitigating (buffering) the adverse effects of stress on the quality of life. For increasing the quality of life of Korean university students, it is implied that stress, social support, and self-esteem need to be identified simultaneously to identify groups that need intervention early, and that intervention to relieve stress by promoting social support and self-esteem is necessary.
IoT in Safety and Security of Automobiles

This article is about IoT. The IoT on vehicles will be discussed. For an automobile for safety and security, I am making progress in making an IoT comparative analysis. A new web wave that is expected to rework our lives could be the Things Web (IoT). The Web has people connected andconnects Things to create flawless communication and pooling of intelligence. IoT could be an era of RIOTous, with the remarkable ability to control the world and the method we tend to live. It uses gadgets and sensors relating to the net, which produce new characteristics. In the age of modern international, we as the purchasers are leaning in the direction of smart vehicles and extra to make lifestyle easier. The Internet and society center states that 90% of accidents that occur around the place are caused by human errors and failures. We can reduce the error from the very least when we implement IoT on cars. In 2020, the Automobile Manufacturers ' Alliance forecast that 75% of cars are capable of using the internet and that unsecured devices can be accessible without difficulty, which is why it is important that safety is guaranteed in cars. This paper analyzes the various securities of IoT technologies in IoT.Then suggesting new security policy
Study on Dynamic Adsorption of Complex System In Solid-Liquid Phase Modelling Using Artificial Neural Networks

This work aims to develop an ANN model to predict the dynamic adsorption of complex system of adsorbent- adsorbate in solid-liquid phase on different parameters through an adsorption column. Nine neurons were used in the input layer, fourteen neurons and ten neurons were used respectively in the first and the second hidden layer. One neuron was used in the output layer. A set of 2007 data points were used for testing the neural network. Levenberg Marquardt learning (LM) algorithm, logarithmic sigmoid transfer function and linear transfer function were used for the hidden and output layer respectively. Results with the ANN showed a correlation coefficient R2 = 0.9976 and 0.9969 respectively for total database and for validation phase between simulated data and those obtained from the literature with a root mean square error RMSE = 0.0268 and 0.0305for total database and for validation phase respectively. Moreover, to determine the most suitable model, Thomas and Bohart-Adams models were applied. The comparison between root mean square error (RMSE), sum of the absolute error (SAE), Chi-square statistic test (X2) and correlation coefficient (R2) showed that the neural network model gave far better. In general, the developed model provides the highest agreement vector values of [R2,\(\begin{equation}\label{eq1}\alpha, \beta\end{equation}\)] with a root mean square error value (RMSE) closed to zero.
Formal Performance Evaluation for Document Image Analysis

Evaluating the performance of perception and image interpretation algorithms (i.e., comparing algorithms and determining which ones perform better has been proven to be a quite complex problem. Conventional state-of-the-art performance evaluation consists of using benchmark reference data and to measure conformity of tested algorithms with respect to these benchmarks. It can be shown, however, that this approach is biased, and that new experimental protocols need to be devised. This talk will address an overview of research in this area and develop a whole new performance evaluation paradigm and focus on some of the underlying statistical tools.
Science and Technology and their Applications in Enterprises in Ho Chi Minh City in the Context of the Fourth Industrial Revolution

Today, the ground-breaking technologies of the 4.0 Revolution are influencing the way companies operate, organize, and mobilize their resources, which forces enterprises to reflect, to review their business modes, and adopt new models. Having strategies for development, applications of new technologies, and the will to constantly innovate are crucial for enterprises to exist and thrive. This is the inevitable rule that businesses in Vietnam, particularly those in Ho Chi Minh City, should respect. Scientific and technological development and application of the revolutionary achievements of the 4.0 Revolution are the leading strategies to make a breakthrough in development. In this chapter, four issues have been focused on: (1) science and technology in the context of the Industrial Revolution 4.0, (2) the application of new technology in enterprises in the Industrial Revolution 4.0, (3) the science and technology and technology application in enterprises in Ho Chi Minh City, and (4) policy implications of the development of science and technology and the application of new technologies in enterprises in Ho Chi Minh City.