Reviewerly/exHarmony huggingface dataset:
Industrial Revolution 4.0 & academic librarians: where are we now? / Asmadi Mohammed Ghazali ...[et al.]

Competencies that comprised of knowledge, skills and attitudes are widely changing especially in the era of IR4.0. Malaysians nowadays are trying to be parallel with the existence and transformation of sophisticated and challenging technology particularly in academic library’s environment. These technologies will help the academic librarians to enhance the library’s service for the users’ needs. Managing academic librarians is not an easy task a to ensure users can get access to the library’s services and materials with comfort and successfully especially in IR4.0 era. This conceptual paper comprises s how academic librarian presenting the knowledge, skills and attitudes in Industrial Revolution 4.0 (IR4.0).
Using ACES Look Modification Transforms (LMTs) in VFX Environments &amp;#x2013; Part 2: Gamut Mapping

In modern moving image production pipelines, it is unavoidable to move the footage through different color spaces. Unfortunately, these color spaces exhibit color gamuts of various sizes. The most common problem is converting the cameras’ widegamut color spaces to the smaller gamuts of the display devices (cinema projector, broadcast monitor, computer display). So it is necessary to scale down the scene-referred footage to the gamut of the display using tone mapping functions [34]. In a cinema production pipeline, ACES is widely used as the predominant color system. The all-color compassing ACES AP0 primaries are defined inside the system in a general way. However, when implementing visual effects and performing a color grade, the more usable ACES AP1 primaries are in use. When recording highly saturated bright colors, color values are often outside the target color space. This results in negative color values, which are hard to address inside a color pipeline. "Users of ACES are experiencing problems with clipping of colors and the resulting artifacts (loss of texture, intensification of color fringes). This clipping occurs at two stages in the pipeline: &lt;list list-type="simple"&gt; &lt;list-item&gt;- Conversion from camera raw RGB or from the manufacturer’s encoding space into ACES AP0 &lt;/list-item&gt; &lt;list-item&gt;- Conversion from ACES AP0 into the working color space ACES AP1" [1] &lt;/list-item&gt; &lt;/list&gt; The ACES community established a Gamut Mapping Virtual Working Group (VWG) to address these problems. The group’s scope is to propose a suitable gamut mapping/compression algorithm. This algorithm should perform well with wide-gamut, high dynamic range, scene-referred content. Furthermore, it should also be robust and invertible. This paper tests the behavior of the published GamutCompressor when applied to in- and out-ofgamut imagery and provides suggestions for application implementation. The tests are executed in The Foundry’s Nuke [2].
VBridge: Connecting the Dots Between Features and Data to Explain Healthcare Models.

Machine learning (ML) is increasingly applied to Electronic Health Records (EHRs) to solve clinical prediction tasks. Although many ML models perform promisingly, issues with model transparency and interpretability limit their adoption in clinical practice. Directly using existing explainable ML techniques in clinical settings can be challenging. Through literature surveys and collaborations with six clinicians with an average of 17 years of clinical experience, we identified three key challenges, including clinicians' unfamiliarity with ML features, lack of contextual information, and the need for cohort-level evidence. Following an iterative design process, we further designed and developed VBridge, a visual analytics tool that seamlessly incorporates ML explanations into clinicians' decision-making workflow. The system includes a novel hierarchical display of contribution-based feature explanations and enriched interactions that connect the dots between ML features, explanations, and data. We demonstrated the effectiveness of VBridge through two case studies and expert interviews with four clinicians, showing that visually associating model explanations with patients' situational records can help clinicians better interpret and use model predictions when making clinician decisions. We further derived a list of design implications for developing future explainable ML tools to support clinical decision-making.
PYTHON-BASED FUZZY TYPE-2 FOR PREDICTION MODEL

A prediction model involves a high-level of uncertainties. Hence, Fuzzy Type-2 (FT2) is the enhanced version of fuzzy logic which has better capability in dealing with uncertainty problem. FT2 method was selected because it has better ability than Fuzzy Type-1 (FT1) and crisp methods in handling uncertainties. Besides, FT2 also has a better performance than General Type-2 (GT2). However, the implementation of Fuzzy Type-2 (FT2) has been widely used in today’s technology by using a Matlab and R programming language and it is hardly been seen that this method is been implemented using a Python language. Therefore, in this paper, it is proposed that the FT2 using Python language is developed for prediction model. This paper reviews previous research that are related to the FT2 in prediction model as well as the a software tools that has been used for the FT2 method.
evocative and taste experience in food design.

Our research explores new perspectives of food design through a multidisciplinary and collaborative process that interprets the concept of conviviality by providing an experience of interaction with food focusing on narrative and evocative components that become tools of territorial valorization, of resources and know-how.Many designers investigated food design topic by attributing aesthetic and formal values and critical and speculative elements to the food. The work aims to explore the expressive and functional levels of food, implementing its “emotional features” and consolidating the connection between senses and behaviour. The main results obtained are the development and test of narrative and taste tools, generated by the collaboration with a starry chef and users, to create a dining experience linked with territorial identities and memories, exploring new interactions.The connection between the project and food has evolved and enriched of themes that go beyond the need to feed and therefore transforming, cooking and eating meals by attributing to the food aesthetic and formal values, but also critical and speculative. (Finessi, 2013)The paradigm change that occurred in the last two decades has led to consider food as an object (Giuxè, 2020), focused on the observation of the changes in convivial habits, has spawned new project fields and new alliances between skills, disciplines and community. The actions of the project are able to strengthen the expressive and functional levels of food, implementing its “emotional features” and consolidating the connection between senses and behaviour.
Blockchain For Securing IoT Devices: A Review

Internet of Things (IoT) has grown quickly and receives considerable interest in academia and the market. However, the absence of basic technologies in protection leads to risks and security flaws in IoT privacy. IoT technologies vary from a mission-critical predicament to business-oriented applications (for example, smart grid networks, smart mobility systems, video monitoring, and eHealth) (e.g., Banking, transportation and contract law insurance) (Askar et al., 2011; Al Majeed et al, 2014). Comprehensive security support is required for IoT, particularly for task-critical applications and for business applications downstream. There have been proposals and/or utilizations of some safety methods or approaches. The platform blockchain has been suggested as an outsourced and distributed solution to guarantee protection standards and to motivate the growth of the IoT due to its decentralization and disclosure. A Blockchain is a database that store sequential manner, in multiple machine memories faulty to its opponents, any processed transactions â€“ or records. Both participating customers share these purchases. The details shall not be stored as a public directory; each node user or device is equipped with the same directory as any other node user. In this article, present the basic blockchain structure and outline the safety criteria for developing IoT and then discuss how the IoT using's protection tools and technologies can be used via BC. Also identify the most pertinent IoT technology frameworks based on blockchain. In addition, reviewing numbers of researches provides securing IoT based on BC finally, discuss several challenges will face of IoT and BC.
Implementation Of Secos Algorithm In Forecasting Gold Prices To Improve Business Intelligence Using Mse Accuracy Value Measurement

SECOS is one of the artificial neural networks that can be used in this study to make a prediction or forecasting of gold prices. This research will produce a combination of parameters, namely learning rate 1, learning rate 2, error threshold that will be carried out on the system then in the training process the data is quite influential on the resulting error value. From the results of the combination of parameters and testing with the SeCos algorithm shown in Figure 4.2, the smallest error value at layer 3 is 54262,375, which is obtained from the learning rate 1 parameter is 0.5, learning rate 2 is 1, learning rate 3 is 1.5. while the largest error value is 46023.9375. The results of the SECOS algorithm in forecasting the gold price can run well, which shows that the model from the implemented training and testing data can predict gold prices.
Research Help: CJ 4100: Colloquium (Grometstein): Your Librarian: Linda LeBlanc, E-Learning & Instruction Librarian

Hi, I'm your subject specialist. Contact me if you need research and citation assistance, help accessing any of our resources, or have questions about the library.
텍스트 유형별 말뭉치와 한국어 교재 말뭉치에 나타나는 ‘그러면’의 사용 양상 연구

This study aims to qualitatively analyze examples of ‘Geureomyeon’ in two types of corpora, a Korean register corpus and a Korean textbook corpus, by describing the aspects of uses and comparing their uses in a respective corpus. To this end, first, the use of ‘Geureomyeon’ was classified into three categories -conjugated form, conjunctive adverb, and discourse marker- in accordance with their definitions suggested in a Korean dictionary. The next step was to analyze the examples, as a result, it was found that both corpus illustrated the same ordering by frequency. Conjunctive adverbs constituted the most frequent, discourse marker was the second most and conjugated form accounts for the least. In case of the Korean textbook corpus, more than half of the examples of ‘Geureomyeon’ were employed as conjunctive adverbs, showing a certain degree of difference from real language data. Meanwhile, both corpus did not show significant differences in the use of ‘Geureomyeon’ as a purpose of discourse marker. Lastly, the examples classified as conjugated forms accounted for a lower proportion of use, particularly in the Korean textbook corpus, than those of other categories. These results indicated that Korean language text for education should reflect Korean usage more realistically.(Yonsei University)
Perancangan dan Pembuatan Vıdeo Profıle Nagaya Pangkas Om Boy

Barbershop as a service or business that offers facilities to consumers or customers to meet ongoing primary needs. The increasing development of barbershops in Bengkong is a testament to the awareness of men in maintaining their appearance. With the barbershop business in Bengkong, it causes competition in the business, especially in Nagaya Pangkas Om Boy’s, increase and decrease in the number or customers is not stable every month so that it has an impact on income. The problem obtained in this research is that Nagaya Pangkas Om Boy's business needs a company profile video to provide information to consumers or customers. The purpose of this research is to help Nagaya Pangkas Om Boy's efforts to promote and provide information to the public about the business of Nagaya Pangkas Om Boy's barbershop. The research method used is Multimedia Development Life Cycle (MDLC) with the stages, namely concept, design, material gathering, assembly, testing, and distribution. The result of this research is a company profile video which is implemented into social media Youtube and Instagram.
지방정부 정책홍보에서 언론과 SNS의 효과 차이: 경기도 31개 시·군 공보담당자들의 인식 조사

This study analysed effects of media and SNS in policy PR activities of local governments by the survey of 126 public information officials in 31 counties of Gyeonggi-do. It attempted to find ways to increase effectiveness of policy PR activities. Public information officials recognized that SNS is better than traditional media news in terms of credibility, information transmission and influence. In actual promotional activities, SNS was used more than media news. It confirmed that the focus of major policy PR activities of local governments has moved from traditional media to SNS. Only credibility among three factors affected policy PR activities of media and SNS. And traditional media PR activities were more influenced by credibility than SNS PR activities. Furthermore, traditional media PR activities were more helpful in implementing the policy than SNS PR activities. This shows public information officials evaluate effectiveness of traditional media news much higher than SNS when it comes to promoting new policies. It implies that in order for local governments to promote their policies more effectively, they had better expand traditional media PR activities more than now, and traditional media should focus on enhancing its credibility.
Fixing Functionality in Design Patent Law

This contribution to the Berkeley Technology Law Journal's spring 2021 symposium, Navigating and Rectifying the Design Patent Muddle, responds to Peter Menell and Ella Corren's important article, Design Patent Law's Identity Crisis. It agrees with Menell and Corren that design patent law's ornamentality requirement should get more attention because that requirement is supposed to differentiate design patent from utility patent. It also agrees that current law does not exclude functional design features aggressively enough. It suggests, however, that there really are two distinct but related problems with ornamentality doctrine. The first problem is that the Federal Circuit has reduced the concept of ornamentality to nonfunctionality: The only question courts and the Patent Office ask in considering whether a design meets the statutory requirement of ornamentality is whether the design features are nonfunctional. The second problem is that the Federal Circuit defines functionality nearly exclusively in terms of the availability of alternative designs. These are related but distinct problems, and they warrant separate discussion. Ornamentality is not simply nonfunctionality; for configuration, at least, it is commonly the case that features are both ornamental and functional, just in different proportions. And even where functionality is the right question, the availability of alternative designs need not, and should not, be its only measure.
Essential Skills for Working with Developers

There are specific technical resources that developers use that composers should also understand in order to have a productive workflow and to function as part of the team. One example of such a resource is version control, a system used to organize and track a team’s work by storing each change on a server. Though this is a surprisingly difficult resource to work with, it is discussed in this chapter in a concise and understandable manner. The optimization of audio is also a critical concept to understand when creating sound for a game. Each game has only a certain amount of hard disk space and memory allocated to the audio. Optimization is the technique of using this space as efficiently as possible so that one can achieve the desired sound without overloading the game’s resources. This chapter covers a variety of creative ways that composers can optimize their music without sacrificing quality.
An Automatic Nuclei Image Segmentation Based on Multi-Scale Split-Attention U-Net

Nuclei segmentation is an important step in the task of medical image analysis. Nowadays, deep learning techniques based on Convolutional Neural Networks (CNNs) have become prevalent methods in nuclei segmentation. In this paper, we propose a network called Multi-scale Split-Attention U-Net (MSAU-Net) for further improving the performance ofcell segmentation. MSAU-Net is based on U-Net architecture and the original blocks used to down-sampling and up-sampling paths are replaced with Multi-scale Split-Attention blocks for capturing independent semantic information of nuclei images. A public microscopy image dataset from 2018 Data Science Bowl grand challenge is selected to train and evaluate MSAU-Net. By running trained models on the test set, our model reaches average Intersection over Union (IoU) of 0.851, which is better than other prominent models, especially 4.8 percent higher than the original U-Net. For other evaluation metrics including accuracy, precision, recall and F1-score, MSAU-Net shows better performance in the most of indicators. The outstanding result reveals that our proposed model presents a promising nuclei segmentation method for the microscopy image analysis.
The development and use of mobile app AR Physics inphysics teaching at the university

This paper outlines the importance of using Augmented Reality (AR) in physics education at the universityas a valuable tool for visualization and increasing the attention and motivation of students to study,solving educational problems related to future professional activities, improving the interaction ofteachers and students. Provided an analysis of the types of AR technology and software for developingAR apps. The sequences of actions for developing the mobile application AR Physics in the study oftopics: “Direct electronic current”, “Fundamentals of the theory of electronic circuits”. The software toolsfor mobile application development (Android Studio, SDK, NDK, Google Sceneform, 3Ds MAX, CoreAnimation, Asset Media Recorder, Ashampoo Music Studio, Google Translate Plugin) are described. Thebank of 3D models of elements of electrical circuits (sources of current, consumers, measuring devices,conductors) is created. Because of the students’ and teachers’ surveys, the advantages and disadvantagesof using AR in the teaching process are discussed. Mann-Whitney U-test proved the effectiveness of theuse of AR for laboratory works in physics by students majoring in “Mathematics”, “Computer Science”,and “Cybersecurity”.
FIU Libraries: Alma & Primo VE: Librarians & Library Staff: Customization & Configuration

Welcome to FIU Libraries' Alma & Primo VE Implementation Guide: Find dates, notes, tips, resources, links, & tricks
Improving Regression Uncertainty Estimation Under Statistical Change.

While deep neural networks are highly performant and successful in a wide range of real-world problems, estimating their predictive uncertainty remains a challenging task. To address this challenge, we propose and implement a loss function for regression uncertainty estimation based on the Bayesian Validation Metric (BVM) framework while using ensemble learning. A series of experiments on in-distribution data show that the proposed method is competitive with existing state-of-the-art methods. In addition, experiments on out-of-distribution data show that the proposed method is robust to statistical change and exhibits superior predictive capability.
Inclusive Education Between Humanistic Idea and Corporative Model of Education: Are the Special Schools Better?

In this paper a paradox of global educational politics is problematized (GERM â€“ global education movement) that is reflected in education reforms of numerous countries as it is insisted on uncompromizing introduction of inclusive education, while at the same time, more and more bigger breakthrough of neoliberalism is evident in education. Neoliberal education, that is corporative model of education, based on marketing orientation and imposing the demands for higher academic standards in order schools to be more competitive, is contradictory to humanistic and egalitarian idea of inclusion in education with the final aim of improvement of inclusive education in which all children, young and adults no matter of differencies, are given an opportunity to take part in and to give their own contribution. In practice, it is also questioned the co-existence of inclusive education and corporative model of education along with presenting the reflections and researches of some authors who emphazise the advantages of special education.
A Note on the Relationship Between Boolean Algebra, Mathematical Logic, Set Theory, Topology, and Probability Theory

The article contains brief reflections on the interaction between well-known mathematical disciplines through Boolean algebra.
Quantifying the Impact of Precision Errors on Quantum Approximate Optimization Algorithms

The quantum approximate optimization algorithm (QAOA) is a hybrid quantum-classical algorithm that seeks to achieve approximate solutions to optimization problems by iteratively alternating between intervals of controlled quantum evolution. Here, we examine the effect of analog precision errors on QAOA performance both from the perspective of algorithmic training and canonical state- and observable-dependent QAOA-relevant metrics. Leveraging cumulant expansions, we recast the faulty QAOA as a control problem in which precision errors are expressed as multiplicative control noise and derive bounds on the performance of QAOA. We show using both analytical techniques and numerical simulations that errors in the analog implementation of QAOA circuits hinder its performance as an optimization algorithm. In particular, we find that any fixed precision implementation of QAOA will be subject to an exponential degradation in performance dependent upon the number of optimal QAOA layers and magnitude of the precision error. Despite this significant reduction, we show that it is possible to mitigate precision errors in QAOA via digitization of the variational parameters, therefore at the cost of increasing circuit depth. We illustrate our results via numerical simulations and analytic and empirical error bounds as a comparison. While focused on precision errors, our approach naturally lends itself to more general noise scenarios and the calculation of error bounds on QAOA performance and broader classes of variational quantum algorithms.
Sistem Informasi Anggota Pramuka Berbasis Android (Kasus Kwartir Cabang Kota Tasikmalaya)

Member scout identification, is an important identity for every Scout member. Nowadays, method of collecting data of member is conducted manually, and printed without saving the data of member owner, there is no system yet which could save the data of member card’s owner and update or remove the data if the member card was expired. And also the distance factor between Gugus Depan (School) and Kwartir Cabang, the place to register the prospective member, far enough, makes many potention data of scout members who are in the outlying place are not encoded. The aim of the research is to design and build a information system of the Scout Member Android Based in Kwartir Cabang Tasikmalaya City, o that it can solve the problem of saving and upgrading the potential data that can give the information fast and correctly. The collecting method uses observation and interview, while developing system uses waterfall model, which consists of stages analyst design, coding, and testing, also the helping tool to conduct the system program uses flowmap. While the implementation uses Android Studio and MySQL Database software. The result of this research is the Information of Scout Member’s System that makes the information process of scout member easier for the Scout members in Kwartir Cabang Tasikmalaya city.