Reviewerly/exHarmony huggingface dataset:
Solving Sokoban with Forward-Backward Reinforcement Learning

Despite seminal advances in reinforcement learning in recent years, many domains where the rewards are sparse, e.g. given only at task completion, remain quite challenging. In such cases, it can be beneficial to tackle the task both from its beginning and end, and make the two ends meet. Existing approaches that do so, however, are not effective in the common scenario where the strategy needed near the end goal is very different from the one that is effective earlier on.In this work we propose a novel RL approach for such settings. In short, we first train a backward-looking agent with a simple relaxed goal, and then augment the state representation of the forward-looking agent with straightforward hint features. This allows the learned forward agent to leverage information from backward plans, without mimicking their policy.We demonstrate the efficacy of our approach on the challenging game of Sokoban, where we substantially surpass learned solvers that generalize across levels, and are competitive with SOTA performance of the best highly-crafted systems. Impressively, we achieve these results while learning from a small number of practice levels and using simple RL techniques.
More Generalizable Models For Sepsis Detection Under Covariate Shift.

Sepsis is a major cause of mortality in the intensive care units (ICUs). Early intervention of sepsis can improve clinical outcomes for sepsis patients1,2,3. Machine learning models have been developed for clinical recognition of sepsis4,5,6. A common assumption of supervised machine learning models is that the covariates in the testing data follow the same distributions as those in the training data. When this assumption is violated (e.g., there is covariate shift), models that performed well for training data could perform badly for testing data. Covariate shift happens when the relationships between covariates and the outcome stay the same, but the marginal distributions of the covariates differ among training and testing data. Covariate shift could make clinical risk prediction model nongeneralizable. In this study, we applied covariate shift corrections onto common machine learning models and have observed that these corrections can help the models be more generalizable under the occurrence of covariate shift when detecting the onset of sepsis.
Meningkatkan Kemampuan Membaca Anak Usia Dini Kelompok B Usia 5-6 Tahun dengan Flash Card

Less interesting methods of reading learning are one factor in the low ability of early childhood to recognize and understand letters. This affects the low interest of children in reading. The inability of children to read will affect their knowledge in the future. It is important to find a solution so that these problems can be resolved. Research conducted by Glenn Doman in Hariyanto (2009: 30) states that children under five can be taught to read and more effective than children who enter school age (6 years). According to Doman, the smaller the age of the child, the smaller they are taught to read. The most important thing is that in teaching children to read it must be an interesting and pleasant atmosphere, learning while playing is a hallmark of early childhood education. With flash card / word cards in learning to read children's abilities will increase, Children will feel happy and not bored in learning to read. Through flash card media it is hoped that it can help improve early childhood reading skills. The way to learn to use flash card / read card is to show children the words or pictures in a card shape.
Position Based Encoding Algorithm for DNA Compression using pre-defined Dictionary

DNA (deoxyribonucleic Acid) tends to be the core essential component in every living organism. Specifically, the DNA sequencing expansion surpasses the expansion in storage capacity. The pre-requisite of reducing the DNA size calls out for additional storage. With the help of DNA Compression, the DNA size reduction can be minimized. And this can be achieved by adopting the recommended algorithm that results in DNA successions for bigger genome. The novel Position Based Encoding (PBE_DNA) compression algorithm significantly enhances implementation of rest of the previous DNA compression algorithms. Similarly, the approach of assigning binary bits (Unique BIT CODE) for certain segments of DNA arrangement has proven quite successful for computing of DNA compression. The proposed method yields 90% compression ratio, which is a better than the early work in this field.
Media Flashcard Dalam Pengajaran Kosakata Bahasa Inggris

This community service aims to help certain communities in several activities. One of the services is carried out at TK Kemala Bhayangkari 03 Medan. This community service is Flash card Media in Teaching English vocabulary. Given the important role of vocabulary in language, learning vocabulary is a very important concern in learning English. For kindergarten students learning vocabulary in English is not an easy thing to get new vocabulary that is incorporated into teachers who have difficulty in learning vocabulary.The community service team is interested in holding this service by trying to use flashcard media in learning English with the hope that the students of TK Kemala Bhayangkari 03 Medan can add new vocabulary in English through flashcard media.
Pandemics and the Anti-vaccination Movement: Analyzing Anti-Vaxxers’ Privacy Rights During a Global Pandemic

Abstract The COVID-19 pandemic has brought a resurgence of questions regarding individual freedoms and the anti-vaccination movement. In this article, I address those questions and what specific rights individuals have during a global pandemic.
LibGuides: Centers of Excellence at ODU: Home: Center of Excellence Collections

Information on collections developed as part of the Association of Southeastern Research Libraries (ASERL) Collaborative Federal Depository Program (CFDP).
Internet pages for asynchronous online and face-to-face learning about solutions and dissolution

In the last decades online communication has become an important part of the realization of the educational process. In the conditions caused by the Covid-19 pandemic it has become particularly significant since in most cases it was necessary to switch to some forms of online teaching-learning. This paper presents the results of a research study conducted as a pedagogical experiment with parallel groups. The aim of this research study was to compare the effects of the application of internet pages for independent online asynchronous learning outside the school environment (group A) and face-to-face learning realized by a teacher at school (group B). The content of the internet pages was created in order to enable the acquisition of the concepts of solutions and dissolution. The effects of the approaches applied were studied based on the student achievement in a post-test (immediately upon learning about the concepts of solutions and dissolution) and in a delayed post-test (a year after the acquisition of these concepts). The participants in this research study were 187 primary school students, who participated in the pedagogical experiment when they were in the seventh grade, while they were in the eighth grade when they did the delayed post-test. The results showed that there was not a statistically significant difference between the overall achievements of the students who learnt about the concepts of solutions and dissolution by independent asynchronous online learning and face-to-face learning at school. This implies that the similar results can be achieved with asynchronous online learning as with face-to-face learning when the conditions do not allow school-based education.
Library: Science Mentorship Program: Library 101: Information Gathering

This guide was developed for students in the Science Mentorship program, but is a useful resource for any student who wants to learn more about the library and about library research.
ENCRYPTION AND DECRYPTION USING IMAGE PROCESSING TECHNIQUES

Images consists various kinds of information which can be used for encryption and decryption of messages through them. This paper proposes a photograph encryption and decryption method to encrypt a covert snapshot with the aid of combining the Arnold transform system within the area and decrypting the duvet photograph through combining inverse Arnold become. First, grow to be a cover snapshot into subparts which consists of eight binary pictures with the aid of decimal value to eight-digit binary operation. Then, change into eight binary snap shots into sub-blocks of eight binary scrambled pixel by means of the Arnold change into, respectively. And then, recombine the sequence of the eight binary scrambled matrices right into a scrambled matrix with 256 grey phases in keeping with the special membership. Discrete Wavelet Transform (DWT) is used to perform picture compression on the input picture and secretly hidden photograph which is finished making use of alpha mixing. Sooner or later, derive an encrypted image from the scrambled photograph with the aid of the Hartley turn out to be. Second, decode the encrypted picture making use of inverse Arnold develop. Inverse DWT is performed to regain the compressed pictures. Simulations indicate that the proposed approach has a bigger photograph scrambling measure, more protection and has the robustness against occlusion and speckle noise attacks.
Deduplication - Encrypted Single Instance Data Storage in Community Cloud

Subtracting the cost of storage by saving only one replica of similar data is unprecedented with the drastic rise in the magnitude of data that is maintained in the social cloud. For guaranteeing data confidentiality, they are generally encrypted prior to outsourcing. Conventional encryption will invariably provide many different ciphers that are made from the same plain text by different users' secret keys, which can interfere with data exclusion. Combined encryption makes it possible to opt out by simply encrypting the same plain text in the same cipher text. An auxiliary issue is the means of robustly and efficiently managing large number of convex keys. A number of minimization schemes have been proposed to overcome the combined management problem. But, key management servers need to be introduced or communication is necessary among data owners. In this technical work, a new client-end exclusion protocol called KeyDup is designed without using an autonomous key management server using the Advanced Encryption Standard (AES) approach. Users have interaction only with the Cloud Service Provider (CSP) during the times of uploading and downloading the data. Security analysis shows that the KeyDup ensures data confidentiality, simultaneously protecting the integrity of key security and privacy. A rigorous and comprehensive performance comparison reveals that this program makes the best transfer in terms of cost of storage, communication and computational overhead.
A Proposal on Discovering Causal Structures inTechnical Systems by Means of Interventions

Causal Discovery has become an area of high interest for researchers. It haslead to great advances in medicine, in the social sciences and in genetics. Butup til now, it is hardly used to identify causal relations in technical systems.This paper presents the basic building blocks for in-depth research. This paperreviews established causal discovery methods and causal models. In contrast toexisting surveys of this domain, we focus on the causal discovery methods usinginterventions. Based thereon, we propose the idea of a promising interventionaldiscovery approach for technical systems. It takes advantage of not only direct,but also indirect causal relationships, which might improve the learning processof causal structures.
Role of smartphone devices in motivation to study in the COVID-19 pandemic

Aims The sudden COVID-19 pandemic experienced globally has caused many schools and institutions of higher learning to resort to fully online teaching and learning throughout the world. Since online teaching is essentially a student-centered learning approach, students’ motivational level plays an important role in making teaching protocols effective. This study aimed to know the level of motivation to study using a smartphone in the COVID-19 pandemic. Instrument & Methods This descriptive study was carried out in 2020 on 75 Indonesian Academy of Administrative Management College students who have smartphones. These students were selected by random sampling method. Data were collected using a researcher-made questionnaire and analyzed by SPSS 17 software using Pearson correlation coefficient and simple linear regression test. Findings There was a positive and significant correlation between the mean score of smartphone usage and the mean score of study motivation (r=0.84;p=0.0001). The effect of smartphone uses on the study motivation in the Covid-19 pandemic was 61.7% (R2=0.617). Conclusion With the increasing use of smartphones, the motivation to learn during pandemic COVID-19 also increased. © 2021, the Authors.
Image Synthesis Based On Feature Description

Abstract: Generating realistic images from text is innovative and interesting, but modern-day machine learning models are still far from this goal. With research and development in the field of natural language processing, neural network architectures have been developed to learn discriminative text feature representations. Meanwhile, in the field of machine learning, generative adversarial networks (GANs) have begun to generate extremely accurate images of especially in categories, such as faces, album covers, and room interiors. In this work, the main goal is to develop a neural network to bridge these advances in text and image modelling, by essentially translating characters to pixels the project will demonstrate the capability of generative models by taking detailed text descriptions and generate plausible images. Keywords: Deep Learning, Computer Vision, NLP, Generative Adversarial Networks
Analisis Perbedaan Minat Baca Sejarah Indonesia Siswa IPA dan IPS Kelas XI SMA Negeri 1 Kubung

The research is motivated because is that there are differences in interest in reading Indonesian history between students of class XI science and class XI social studies at SMA Negeri 1 Kubung. The purpose of this study was to analyze the differences in reading interest in Indonesian history for science and social studies students in class XI of SMA Negeri 1 Kubung. This research is a quantitative research using the Expost Facto research method with a comparative study type. The results of this study indicate that there is a significant difference between the interest in reading Indonesian history of science and social studies students in class XI SMA Negeri 1 Kubung. This can be evidenced from the results of data processing which shows that interest in reading Indonesian history in class XI science is generally in the low category with a percentage of 33%, while interest in reading Indonesian history in class XI social studies is generally in the medium category with a percentage of 27%. It can be concluded that the interest in reading Indonesian history in class XI science is lower than reading interest in Indonesian history in class XI social studies.&#x0D; Keyword: Reading Interest, Indonesian History
Sign rank vs Discrepancy.

Sign-rank and discrepancy are two central notions in communication complexity. The seminal work of Babai, Frankl, and Simon from 1986 initiated an active line of research that investigates the gap between these two notions. In this article, we establish the strongest possible separation by constructing a boolean matrix whose sign-rank is only 3, and yet its discrepancy is 2-Ω(n). We note that every matrix of sign-rank 2 has discrepancy n-O(1).Our result in particular implies that there are boolean functions with O(1) unbounded error randomized communication complexity while having Ω(n) weakly unbounded error randomized communication complexity.
FBI warns of Costco coronavirus stimulus check scam

Scammers are sending fake text messages offering stimulus check deals from the big-box store.
LibGuides: WSDOT Library: Transportation Libraries and LibGuides

Links to resources useful to employees of the Washington State Department of Transportation and beyond.
Semantic Neurofeedback–From Amplitudes to More Meaningful Neurofeedback Representations

Genital pain / penetration disorders affect a significant portion of the female population and diminish significantly the quality of life of the subjects. Treatments, that often consist in stretching opportunely the vaginal duct by means of opportune vaginal dilators, are known to be invasive, lengthy and uncomfortable. Designing better treatments (e.g., more efficient locations and levels of pressures) nonetheless requires understanding better how the pressure developed in the vaginal channel affects the patient and leads to subjective pain. Here we take a control-oriented approach to the problem, and aim at describing the dynamics of the pressure vs. pain mechanisms by means of opportune state space representations. In particular, we first collect and discuss the medical literature, that describes how the variables that are involved in the treatment of genital pain / penetration disorders with vaginal dilators, are logically related. After this we translate (and complete) this set of logical relations into a qualitative model that allows control oriented analyses of the dynamics. The obtained state space model is then proved to both mimic correctly what is expected from logical perspectives and reproduce behaviors measured in clinical settings.
Feature Extraction Technique For Text Mining Requirement For Reuse in Software Product Lines: A Systematic Literature Review

Requirements for a system implementation can be done by feature extraction process to support the implementation process of system products. Extraction of a data or variable feature from the requirements has the effect of benefiting from Software-Product-Line. Text mining is a process of analyzing a text to generate a product. The Requirements for feature data that is processed in the text mining process can be said to be part of the Product Line Software. There are various kinds of techniques used to produce data feature requirements that enter the text mining process. This paper provides a Systematic Literature Review (SLR) of how feature extraction techniques used in the text mining data feature extraction process to support the Software Product Line process. The author uses literature search techniques to support the process of making this SLR. Besides discussing the feature extraction technique, this SLR also discusses the tools used for the Text-mining Feature Extraction process. This SLR is expected to contribute to provide a review regarding the feature of text mining data extraction techniques to support the Software Product Line process.
Report Generation Mechanism Based Infrastructure as a Service (IAAS) Framework Designing-Review

In brief, cloud computing may be described as internet-based which allows consumers available without extreme overcapacity to get to programming apps at any stage they like. Cloud computing has been a fascinating technology in the present period, providing assistance over the internet to its customers. In the advancement of disseminated computing, cloud technology is an emerging stage after the network. Security has become the fundamental problem for the sending of cloud conditions because of its ability to put away information just like its scattered assets.
The Use of Socrative Application in Written Test at MEC English Syariah Banjarmasin

This study aims to describe the use of Socrative application and to find out the members' responses of the use of Socrative application in written test at MEC English Syariah Banjarmasin. In this case researcher uses descriptive qualitative that describe the state of data in the form of sentences or descriptions that is clear. The subjects in this study were trainers and members. Data collection techniques used in this study were questionnaire, interview, and documentation. The results of this study are Socrative in written test application used by trainers and members. The trainer makes a number of questions related to the material that have studied and members answer the question on their smartphone using Socrative application. The response of members using socrative application is easier to answer test without carrying stationaries and so on. They are easy to answer because the questions are related to the material taught while learning. They have a suggestion regarding this activity that it would be better if the results of the written test are displayed in detail with numbers. They also gave a response that Socrative had problems if the internet network was unstable. However, during several seasons of written tests using this application, most of them were answered smoothly because at MEC provided free Wi-Fi or hotspot. So, from the results obtained on average they like Socrative because it is more effective and efficient in terms of time energy and tools.
Activity Booklet Design for Museum Bank Indonesia for Middle School Students

With the development of the times, museums should be a place of learning that is more interesting than just a place to display artifacts. There is not much interactivity done by museums to increase visitor engagement whilst interactivity itself does not always have to be in a highly technological form. This research will design an activity booklet in order to help student visitors get better engagement during their visit in the museum. This research uses book design method by Robin Landa. The process revealed that in making this booklet, it is important to put context in every activity thus making the student visitors learn that there are connections between them and the objects displayed. The implication of this study can help museums to make more effective and lower budget interactive media for student visitors.
The Houston-Stockholm Pipeline: One Attorney's Passion for Duke Ellington's Music, and a Texas Treasury of Swedish Concerts [Presentation Notes]

Notes accompanying a presentation on the contents and historical context of the Rhodes Baker Collection at the University of North Texas Music Library. It was presented at the 55th Annual Association for Recorded Sound Collections (ARSC) Conference held virtually May 12-15, 2021.
Method of Handling Transformation when the Time Series Model is Additive

This paper provides the building block for transformations to be carried out in the additive time series model. The probability density function of the exponentially transformed random series of the additive time series model was derived. The mean and variance were established and shown to be and - respectively. The condition for the mean of the original series = 0 while that of the truncated series = 1 was shown to be 0 < σ ≤ 0.31 to one decimal place. The variance of the original series and the exponentially transformed series are equal for 0 < σ < 0.35 to one decimal place. truncated series was tested for normality and it showed that for σ ≤ 0.13 it was normally distributed. The theoretical mean and variance of the original series and the truncated series was confirmed with the simulation carried out for σ ≤ 0.13.