Reviewerly/exHarmony huggingface dataset:
Metaphotonic computational image sensor

In this work I will show how meta-optics and computational backend can be used to perform sensing with lower power, and performance not achievable by just meta-optics or just computation.
Il diritto di partecipazione dell’adolescente alle decisioni che riguardano la sua salute

The adolescent’s right to participate in decisions concerning his or her health represents, on closer inspection, a subsystem of the general model of consent to treatment, which takes into account the need for clinical approaches designed on the person, respectful of his or her wishes and inclinations.
Designed to Serve Mankind? The Politics of the GDPR as a Global Standard and the Limits of Privacy

Data collection and processing have been subject to considerable controversy in recent years, sparking many debates and governance projects. One such governance project is the General Data Protection Regulation (GDPR). Since becoming effective, the GDPR has come to represent a “global standard” for privacy and data protection. Yet, the idea that the GDPR represents a global standard overlooks broader questions about the interaction between law, technology, and society.Using co-production as a conceptual lens, this paper argues that the GDPR reflects at least three social shifts, each of which is entangled with the others. Along with these social shifts, the GDPR is also co-producing ideas of what privacy is and ought to be, and who gets the authority to interpret and construct it. Moreover, the GDPR reconstructs political subjects into data subjects, with significant depoliticising and disempowering effects. Ultimately, the GDPR does more to serve the interests of informational capitalism than to challenge it. Locally situated political engagement can provide a way to counter the disempowering effects of the GDPR as a global standard for marginalised people in the Global South, as this article explores in the context of India’s new data protection bill.
Application of Sargassum Cinereum and Rhizobateria as Biosorbent Zn in Batik Wastewater

Heavy metals such as Zinc (Zn) in batik wastewater may be reduced with biosorption. Sargassum cinereum and rhizobacteria may be used as a biosorbent as they are cheap, abundant, and easily obtainable. The process of biosorption depends on a biosorbent surface area. A large biosorbent surface area can be made by modifying a tea bag. This study aims to get the mixture ratio of S. cinereum and rhizobacteria isolates (Rb2) to adsorb Zn in batik wastewater and to get rhizobacteria isolates that absorb the highest Zn in batik wastewater. This experimental study was conducted using a split plot design. The adsorption capacity data was analyzed using an F-test with a significance level of 95%. The result shows that the highest content of Zn adsorbed is 0.0595 mg/g -1 , on the mixed ratio of S. cinereum and rhizobacteria isolates 1:3 decreasing the efficiency by 84.421%. Isolate Rb2 is the best isolate to adsorb Zn in batik wastewater. A biosorbent mixture packed into modified tea bags effectively removes Zn in batik wastewater. Keywords: algae, bacteria, biosorption, heavy metal, tea bag.
On the Difficulty of Designing Processor Arrays for Deep Neural Networks

Systolic arrays are a promising computing concept which is in particular inline with CMOS technology trends and linear algebra operations found in the processing of artificial neural networks. The recent success of such deep learning methods in a wide set of applications has led to a variety of models, which albeit conceptual similar as based on convolutions and fully-connected layers, in detail show a huge diversity in operations due to a large design space: An operand’s dimension varies substantially since it depends on design principles such as receptive field size, number of features, striding, dilating and grouping of features. Last, recent networks extent previously plain feedforward models by various connectivity, such as in ResNet or DenseNet. The problem of choosing an optimal systolic array configuration cannot be solved analytically, thus instead methods and tools are required that facilitate a fast and accurate reasoning about optimality in terms of total cycles, utilization, and amount of data movements. In this work we introduce Camuy, a lightweight model of a weight-stationary systolic array for linear algebra operations that allows quick explorations of different configurations, such as systolic array dimensions and input/output bitwidths. Camuy aids accelerator designers in either finding optimal configurations for a particular network architecture or for robust performance across a variety of network architectures. It offers simple integration into existing machine learning tool stacks (e.g TensorFlow) through custom operators. We present an analysis of popular DNN models to illustrate how it can estimate required cycles, data movement costs, as well as systolic array utilization, and show how the progress in network architecture design impacts the efficiency of inference on accelerators based on systolic arrays.
교육 환경의 변화와 문법 교육과정

Purposes of this paper are to show change of educational environment and to propose direction of grammar curriculum.Change aspects of educational environment are as follows: ① development of digital technology and society of 4th industrial revolution, ② practical restructuring of core competencies, ③ serious consideration of individual value as an educational sovereign, ④ ecological educational system permeating life’s process, ⑤ educational environment of situational context centered cognizing relative value, ⑥ co-existence and co-existence respecting social value, ⑦ policy preparing period of unification.Preparing these educational environments, I can propose following directions of grammar curriculum: ① serving grammar education purpose of increasing grammatical thinking ability, ② relating grammar content to practical korean life, ③ guaranteeing interpreting diversity of grammar educational content, ④ suggesting grammar contents in the whole system, ⑤ suggesting spiral method following level of difficulty according school level, ⑥ suggesting grammar subject name as Grammar and Korean Life, ⑦ directing unification grammar curriculum of South & North Korea.
Continuous Action Reinforcement Learning from a Mixture of Interpretable Experts

Reinforcement learning (RL) has demonstrated its ability to solve high dimensional tasks by leveraging non-linear function approximators. However, these successes are mostly achieved by 'black-box' policies in simulated domains. When deploying RL to the real world, several concerns regarding the use of a 'black-box' policy might be raised. In order to make the learned policies more transparent, we propose in this paper a policy iteration scheme that retains a complex function approximator for its internal value predictions but constrains the policy to have a concise, hierarchical, and human-readable structure, based on a mixture of interpretable experts. Each expert selects a primitive action according to a distance to a prototypical state. A key design decision to keep such experts interpretable is to select the prototypical states from trajectory data. The main technical contribution of the paper is to address the challenges introduced by this non-differentiable prototypical state selection procedure. Experimentally, we show that our proposed algorithm can learn compelling policies on continuous action deep RL benchmarks, matching the performance of neural network based policies, but returning policies that are more amenable to human inspection than neural network or linear-in-feature policies.
LibGuides: Remote Research Resources: Take a Break!

Conducting research remotely? The New York Public Library has you covered. This guide includes resources to support your research 24/7 no matter where you are.
Introducing the new Editor in Chief of &lt;em&gt;JAMES&lt;/em&gt;

Find out about the person taking the helm of AGU’s dedicated earth system modeling journal, JAMES, and his vision for the coming years.
Riset Kebutuhan Pengguna Terhadap Sistem Absesnsi dan Penjadwalan Mata Kuliah Kampus

It is important for a university to pay attention to academic services for students. This is so that the teaching and learning process can run well in line with the rapid development of technology, all aspects of life have adopted the sophistication of information technology, including in the field of education. Many platforms are competing to innovate and create media that can accommodate the needs of many people, especially in education. The positive impacts that arise include the use of information technology to make the management of the assessment results data more efficient. In addition, by utilizing information technology, meeting the need for educational facilities runs quickly. The results of this research can be a source of reference to get information about user needs, thus encouraging the creation of a solution by utilizing the sophistication of information technology (IT) in the world of education. The adoption of information technology is expected to increase efficiency in campus academic services. The research was conducted by interviewing students to get a more specific and personalized view. From the results of the interview was taken measurements to find out how many students feel the same and consider the aspects that support the development of information technology in the form of applications that are able to answer academic service problems.
Learning with Hyperspherical Uniformity

Due to the over-parameterization nature, neural networks are a powerful tool for nonlinear function approximation. In order to achieve good generalization on unseen data, a suitable inductive bias is of great importance for neural networks. One of the most straightforward ways is to regularize the neural network with some additional objectives. L2 regularization serves as a standard regularization for neural networks. Despite its popularity, it essentially regularizes one dimension of the individual neuron, which is not strong enough to control the capacity of highly over-parameterized neural networks. Motivated by this, hyperspherical uniformity is proposed as a novel family of relational regularizations that impact the interaction among neurons. We consider several geometrically distinct ways to achieve hyperspherical uniformity. The effectiveness of hyperspherical uniformity is justified by theoretical insights and empirical evaluations.
Current and Feature of Wearable Devices in Augmented and VirtualReality

There is no doubt that Augmented Reality (AR) and Virtual Reality (VR) have the potential to become a fascinating widespread technology not only in computer graphics but also in many other subjects. In about two decades, AR or in general, Mixed Reality (MR) has turned into one of the most attractive topics in involved in variety of topics attempting to obtain satisfactory results. Realism and robust AR system is the open issue yet. In this speech, I am going to present what I have done so far in realism, robustness and interaction of AR/VR systems and discuss possibility directions toward this enhancement of AR and VR. Moreover, interaction between real and virtual objects will be discussed in details. How to engage our current research with new technology to enhance our current research will be the next part of my speech. At the end, some points will be highlighted to go further with the futureof VR and AR along with wearable technology.
Evaluate and analyze the results of rirls international evaluation monitoring

This article describes the progress of preparations for the PIRLS international survey of primary school graduates (Grade 4) of international assessment monitoring of students in public educational institutions of the Republic of Uzbekistan and information on pilot institutions. Many countries that achieved good results in 2016 have significantly improved their performance compared to 2011. Comparing the results of 41 countries participating in 2011 and 2016, the reading comprehension rate of 4th grade students in 18 countries increased.
A Novel Method for Image Encryption Using Modified Logistic Map

With the development of the internet and social networks, the interest on multimedia data, especially digital images, has been increased among scientists. Due to their advantages such as high speed as well as high security and complexity, chaotic functions have been extensively employed in images encryption. In this paper, a modified logistic map function was proposed, which resulted in higher scattering in obtained results. Confusion and diffusion functions, as the two main actions in cryptography, are not necessarily performed respectively, i.e. each of these two functions can be applied on the image in any order, provided that the sum of total functions does not exceed 10. In calculation of sum of functions, confusion has the coefficient of 1 and diffusion has the coefficient of 2. To simulate this method, a binary stack is used. Application of binary stack and pseudo-random numbers obtained from the modified chaotic function increased the complexity of the proposed encryption algorithm. The security key length, entropy value, NPCR and UICA values and correlation coefficient analysis results demonstrate the feasibility and validity of the proposed method. Analyzing the obtained results and comparing the algorithm to other investigated methods clearly verified high efficiency of proposed method.
Kesejahteraan Psikologis Siswa SMK yang Memiliki Motivasi Belajar Rendah

This study aims to describe the Psychological Well-being of vocational highschool students who have low motivation. This research was conducted usingqualitative methods. The selection of research subjects was carried out byproviding a scale of learning motivation to students in the TPMI and TKR classesand then obtained 2 students with low learning motivation and 2 students withmoderate learning motivation. The benchmarks for psychological well-being use 6aspects, namely self-acceptance, autonomy, positive social relations with others,clear life goals, environmental control, and psychological growth. From theresults of data analysis, it was revealed that the four research subjects showed lowpsychological well-being, such as a lack of self-acceptance, lack of sense ofsocialization, lack of independence, being controlled by the surroundingenvironment and had not felt personal growth. Although the four subjects have apurpose in life, the subject has not found a way to make it happen.
Seismic Soundoff

In this episode, Andrew Geary speaks with Emer Caslin about the Geophysical Sustainability Atlas. The atlas was recently featured in the January 2021 issue of The Leading Edge (TLE). Caslin shares an overview of the atlas, how individuals and companies can utilize it to create meaningful impact, how professional societies can contribute to the United Nations (UN) Sustainable Development Goals (SDGs), and how incorporating the SDGs into strategic planning could support the next generation of geophysicists. Hear the full episode at https://seg.org/podcast/post/11307 .
Semantically Guided 3D Abdominal Image Registration with Deep Pyramid Feature Learning

Deformable image registration of images with large deformations is still a challenging task. Currently available deep learning methods exceed classical non-learning-based methods primarily in terms of lower computational time. However, these convolutional networks face difficulties when applied to scans with large deformations. We present a semantically guided registration network with deep pyramid feature learning that enables large deformations by transferring features from the images to be registered to the registration networks. Both network parts have U-Net architectures. The networks are trained end-to-end and evaluated with two datasets, both containing contrast enhanced liver CT images and ground truth liver segmentations. We compared our method against one classical and two deep learning methods. Our experimental validation shows that our proposed method enables large deformation and achieves the highest Dice score and the smallest surface distance of the liver in contrast to other deep learning methods.
Emphasizing the Impact of Experiments in Physics Lessons – “Why, When, How Often?”

Practical activities are an essential component of science teaching and learning. Nowadays the majority of school laboratories is well equipped with experimental devices and computer based experiment systems (Vernier, Pasco). The key question of our research is, whether using all this equipment make teaching physics more effective. The aim of the paper is to discuss the efficiency of laboratory work and experiments provided by teachers so as by learners at various types of schools. Physics is an experimental science and laboratory work is the most important way how to verify the theoretical concepts. Students so as researchers must have an opportunity to judge their ideas. What strategies within the use of experiments we need to develop or enrich students´ scientific knowledge? Examples how to design learning outcomes of hands on experiments so as computer based experiments in the content of school curricula will be presented.
Library Guides: Diverse STEM Reading: a Layer Cake of Problems: Tips for finding stuff

Discover some of the diverse STEM books, documentaries, podcasts, and other items available from the ISU Library and on the web, and learn how to find more of these materials. This guide was made to accompany a 2021 ISCORE presentation.
Case study on the CALLA-based academic Korean presentation class: Focusing on foreign students’ presentations on their own major

This study is undertaken to design a Korean presentation class for academic purposes based on CALLA (Cognitive Academic Language Learning Approach) and to find its effectiveness. In this study, 10 foreign graduate students participated in the class which teaches presentation strategies for 15 weeks. According to CALLA, some useful presentation strategies were introduced and practiced repeatedly, and the students’ presentations in Korean considering their major were completed gradually. As a result, positive effects from the presentation class on the perspective of language, non-language and data organization could be acquired through repetitive feedback and practice. Thus, the students could use the proper discourse for topics ranging from the introduction and development of the presentation to concluding presentation. The learners have shown a lot of improvements in presentation ability through the CALLA course regardless of language proficiency but the class design used in the study should be conducted in other presentation classes for academic purposes.
RANCANG BANGUN APLIKASI E-VOTING KETUA OSIS DI SMA PGRI 1 KOTA SERANG

The purpose of design is to develop an e-voting application for election of student council (OSIS) chairman in SMA PGRI 1 Kota Serang. The application will help optimize the process of selecting OSIS chairman through website-based e-voting so as to minimize the risk of errors in calculation of voting results due to human errors. The application design used Waterfall method so that it is easier to develop and use UML (Unified Modeling Language) for visual system modeling. This applicatio.n is developed using PHP programming language, MySQL database and CodeIgniter framework. The process of selecting OSIS chairman is carried out through the application by accessing the URL link and logging in with National Student ID Number (NISN) as the username and password, it will be given by OSIS coach at the time of election. Vote process by clicking the vote button, the number of voting votes that have been given will enter the voting results menu. If the student has already voted, the vote button will be hidden so that students cannot vote twice. This application also applies the Naïve Bayes algorithm to the e-voting application of OSIS chairman, using the probability formula, which is the number of students who choose candidates divided by all students per class. The voting results are obtained from the number of votes of voters who have voted. With the e-voting application, election of OSIS chairman becomes more effective and efficient than conventional or manual voting using paper.
무용전공 대학생의 신체자각이 정서지능에 미치는 영향 : 포커싱적 태도의 매개효과

The study was aimed at verifying the mediated effects of focusing manner in the effects of body awareness on emotional intelligence among college students majoring in dance. In order to achieve the purpose of this study, 191 dance major college students in the S city, K, C, K-do and J-do areas were selected in 2020. The three-step hierarchical regression method of Baron & Kenny(1986) was used to verify the mediated effect of focusing manner in the effect of body awareness on emotional intelligence among dance major college students. In addition, the significance verification of the parameter effects was verified by the Sobel test, and the results from this study were as follows: Body awareness of dance major college students was found to have a direct impact on focusing manner, and focusing manner had a direct impact on emotional intelligence. And in the relationship between body awareness and emotional intelligence, the focusing mmanner has been shown to play a mediating role. The results of this study suggested the need to improve the level of body awareness and focusing manner in order to raise the level of emotional intelligence among dance major college students.
PENGARUH PENGGUNAAN METODE EVERYONE IS A TEACHER HERE TERHADAP MOTIVASI BELAJAR

In a learning process, students are often found sleepy, busy with themselves, less involved in the learning process, and less confident. This is due to the different basic motivational encouragement of students, so we need a method that can foster student learning motivation as a whole, namely the Everyone is a Teacher here method. The purpose of this study was to find the effect of using the Everyone is a Teacher here method on the learning motivation of fifth grade students of SDN Inpres Soroafu for the 2020/2021 academic This type of research is an experiment with the type of pre-experiment design type one group pretest-posttest. The subjects in this research were all fifth grade students in one class with a total of 15 students. Student learning motivation data were obtained from questionnaire data filled in by students and then analyzed using paired sample t-test with the help of the SPSS 16.0 for windows program with a significance level (2-tailed) <0.05. The results of data analysis show a significant value (2-tailed) 0.00 <0.05, it can be concluded that H_a is accepted and H_0 is rejected. The H_a in this study is there is an influence of the everyone is a teacher here method on the learning motivation of fifth grade students of SDN Inpres Soroafu for the 2020/2021 academic year.
Robot Autonomous Cruising System Based on Wireless D2D Communication Technology

With the development of robot technology, the robot can replace humans to monitor the environment inside or outside, which will release the working load of humans. It needs the ability of autonomous cruising and data transmission to accomplish the goal that reducing human beings' workload. In this paper, a robot autonomous cruising system based on the wireless D2D communication technology is proposed, to achieve data transmission and communication between robots or robot and the platform. Additionally, the algorithm of autonomous cruising is improved to implement the system.