Reviewerly/exHarmony huggingface dataset:
Analogy as Nonparametric Bayesian Inference over Relational Systems.

Much of human learning and inference can be framed within the computational problem of relational generalization. In this project, we propose a Bayesian model that generalizes relational knowledge to novel environments by analogically weighting predictions from previously encountered relational structures. First, we show that this learner outperforms a naive, theory-based learner on relational data derived from random- and Wikipedia-based systems when experience with the environment is small. Next, we show how our formalization of analogical similarity translates to the selection and weighting of analogies. Finally, we combine the analogy- and theory-based learners in a single nonparametric Bayesian model, and show that optimal relational generalization transitions from relying on analogies to building a theory of the novel system with increasing experience in it. Beyond predicting unobserved interactions better than either baseline, this formalization gives a computational-level perspective on the formation and abstraction of analogies themselves.
Screening of sickle cell disease using a smartphone-based microscope and deep-learning

We present a deep-learning based device to perform automated screening of sickle cell disease (SCD) using images of blood smears captured by a smartphone-based microscope. We experimentally validated the system using 96 blood smears (including 32 positive samples for SCD), each coming from a unique patient. Tested on these blood smears, our framework achieved a 98% accuracy and had an area-under-the-curve (AUC) of 0.998. Since this technique is both low-cost and accurate, it has the potential to improve access to cost-effective screening and monitoring of patients in low resource settings – particularly in areas where existing diagnostic methods are unsuitable.
Exploration With Intrinsic Motivation Using Object–Action–Outcome Latent Space

One effective approach for equipping artificial agents with sensorimotor skills is to use self-exploration. To do this efficiently is critical, as time and data collection are costly. In this study, we propose an exploration mechanism that blends action, object, and action outcome representations into a latent space, where local regions are formed to host forward model (FM) learning. The agent uses intrinsic motivation to select the FM with the highest learning progress (LP) to adopt at a given exploration step. This parallels how infants learn, as high LP indicates that the learning problem is neither too easy nor too difficult in the selected region. The proposed approach is validated with a simulated robot in a tabletop environment. The simulation scene comprises a robot and various objects, where the robot interacts with one of them each time using a set of parameterized actions and learns the outcomes of these interactions. With the proposed approach, the robot organizes its curriculum of learning as in existing intrinsic motivation approaches and outperforms them in learning speed. Moreover, the learning regime demonstrates features that partially match infant development; in particular, the proposed system learns to predict the outcomes of different skills in a staged manner.
e-Module Design with Content Based Instruction in Reading for Academic Purpose

Abstract: This research emphasizes on e-Module based on content-based instruction (CBI) in Reading for Academic Purpose subject. This design implements the Islamic values of rahmatanlil’alamin. Students and lecturers of English Education Study Program do not have and never received an e-module for reading subject that involved Islamic values and digital content according to their background and is compatible with e-Learning that has been running University that is UNUSmartDaring. The aims of this study are to design an e-Module based Content Based Instruction (CBI) and measure its success in reading mastery of the fourth semester students of English Education. This e-Module design was created in order to improve the mastery of pedagogic concepts and the competence of English Education students as prospective teachers. To produce the expected product, researchers used the Analysis, Design, Development, Implementation, Evaluation (ADDIE) method. The activity of preparing the e-Module based Content Based Instruction (CBI) Design in the Reading for Academic Purpose Course to determine the effectiveness of using module in the English Education Study Program is carried out in three stages, namely: (1) Preliminary Study, including the study of reading theory for academic purposes, Content Based Instruction (CBI) theory, as well as UNUSmartDaring software; (2) designing module, compiling module assessment instrument, compiling the evaluation instrument; and (3) Product Testing stage, module review by experts, small-scale trials, online use trials, classroom use, evaluation and module based Content Based Instruction (CBI) for teaching Reading. The average value obtained was 41.4 with good category based on the result of validation analysis.
Adagio For The Internet Of Things : IoT penetration testing and security analysis of a smart plug

The emergence of the Internet of Things (IoT) shows us that more and more devices will be connected to the internet for all types of different purposes. One of those devices, the smart plug, have b ...
Learning Management System Kebutuhan Mendesakdalam Mendukung Digitalisasi dan AkreditasiPerguruan Tinggi Universitas Kristen Indonesia

Digitization in the world of education is reform and modernization of the global educationworld, where digitization means all kinds of information are transformed into digitallanguages. Learning Management System (LMS) is a learning medium that uses an opensourcethat has been designed by the education unit as needed. Covid-19 pandemic hasinvited that digitization in the world of education is a necessity to follow education online.Building an LMS is already an urgent need for universities including Universitas KristenIndonesia. By building and organizing its own LMS, Universitas Kristen Indonesia can havequality LMS can be upgraded to Massive Open Online Courses (MOOC) or massive openonline courses for thousands of students through several digital-based platforms inimproving access to learning materials. One of the facilities and infrastructure that is neededtoday and has a high weight of value in apt 3.0 and APS 4.0 activities is the availability ofadequate communication and information technology systems called Higher EducationManagement Information System (SIMPT). One important part of having a high-valueweight is whether a college has a Learning Management System (LMS) or not. In theprocess of field assessment online today the assessors will easily be able to view and assessthe availability of SIMPT of a college through the available LMS. Thus, digitization in theimplementation of education can be realized, with the hope of impacting the accreditation ofsuperior universities.Keyword : Digitization, MOOC, Accreditation
LibGuides: WRT 110/105 Intro to College Writing (Johansson): Research Ethics/Citing Sources

Your one-stop for resources you'll need for Professor Johansson's class Introduction to College Writing class.
A Study on the Current Status and Improvement of Han Characters(漢字) Datasets in Korea

This paper examines the current status and problems of the Han character datasets in Korea and suggests the direction of improvement. Han character dataset is very important as basic information of East Asian classical humanities research and utilization, including Han characters and Chinese literature. However, many problems were found due to the uniformity of the data set construction method and poor management system, and the value of utilization was greatly reduced due to poor connection and compatibility between datasets. As a way to solve this problem, it was suggested that efforts should be made to standardize datasets and improve quality while establishing a specialized committee and a comprehensive management system for the provision of Chinese character attribute information.
LibGuides: Library Contactless Book Pickup Service: Welcome

Information on access to physical library collections during Alternate and Remote Delivery.
Areas of Expertise in Cybersecurity

In this chapter, we’ll discuss the many disciplines that make up a successful company, their scope of duties, and how their role brings them into contact with the Security Operations Center (SOC). We’ll also cover the external organizations that the SOC might interact within their day-to-day job.
HUBUNGAN PENGUASAAN GAYA BAHASA DAN PENCITRAAN DENGAN KEMAMPUAN MENULIS PUISI PADA SISWA KELAS X SMA 2 PADANG CERMIN

This determination aims to find out what difficulties exist in high school students, the lack of knowledge of writing is one of the great homeworks for educators especially in the Indonesian language, writing is a way to train students to create creative ways of thinking and expand vocabulary, research in writing assignments This poetry is expected to know the meaning of language style, imagery and the use of both in poetry writing, language style is semeotic in building signs in poetry, imagery is an image that builds the character of a writing so that it reaches the reader when writing poetry.
Toward Computer-Aided Assessment of Textual Exercises in Very Large Courses

First-year computer science university courses commonly exceed the 1,750-student mark. This rising demand for higher education leads to an increased workload for instructors. Open-ended textual exercises facilitate the comprehension of problem-solving skills. Offering individual feedback to help learners increase their existing knowledge by learning from mistakes is challenging: Grading textual exercises is a manual, repetitive, and time-consuming task, seldomly aided by technology. In most cases, many graders have to be employed to accommodate large student populations.
A Hardware Implementation of Point Scalar Multiplication on Edwards25519 Curve

This paper presents a design of a point scalar multiplier for Edwards curve cryptography (EdCC) based on Edwards25519 curve. For area-efficient implementation, finite field multiplier based on word-based Montgomery multiplication algorithm was designed, and the extended twisted Edwards coordinates system was adopted. The scalar multiplier requires 21,737 gate equivalent and 6.3 kbit RAM. It takes 950,000 clock cycles to calculate scalar multiplication, which is about 6 times faster than ECC processor based on conventional elliptic curves.
Feasibility Study on the Installation of Solar Photovoltaic Rooftop System for the Pangasinan State University

Pangasinan State University (PSU) particularly the Urdaneta City Campus, Sta. Maria Campus, Binmaley Campus, and Infanta Campus uses more than 590,000-kilowatt hours (kWh) of electricity annually. The PSU is searching for ways to lessen the cost and effect on the environment related with their activities. One feasible alternative is solar energy use to produce electricity on the four (4) campuses. Solar power, however, is a complex issue for an enormous project in particular. Taking the time to assess alternatives before starting a project of this scale, it is possible to save money and effort in the future. This research is intended to verify the probability and connected benefits from solar photovoltaic (PV) rooftop system installation equals to the generation capacity on its campuses. Solar PV data were determined to compute the complete estimated quantity of electricity each solar power system would generate yearly. Cost information was used to evaluate each system’s cost from the Solar Philippines and the cost of electricity per kWh from each and every solar energy system and from different distribution utility for each campus. Another, University space and energy usage data particularly from the Office of the University Engineer were used to verify the size and capacity of the required solar power systems and the accessibility of campus space. Additionally, talks and consultations with the Campus Executive Directors, Coordinator for Physical Facilities, and the Campus Accountant were used to assess both financial and non-financial advantages from the university's use of solar. A solar photovoltaic rooftop system, the cheapest choice has been proven, with a nine and a half (9.5) years payback period and a cost of 10 PHP (Philippine Peso) per kWh. With the available at the moment, 3,360 square meters of rooftop space that can be used, up to 336,000 kWh or 57% of the four (4) campuses, 2018 electricity usage could be produced with solar energy. Non-financial advantages include decreased environmental impact, possibilities for teaching and learning, a symbol of sustainability engagement, energy security, and brand advertising. The University can not produce 100% of its energy from solar power installations on campuses. Furthermore, compared to current electricity rates, solar electricity is somewhat expensive. Nevertheless, having a power purchase agreement with the Solar Philippines Inc., (SPI), and the University can install solar PV rooftop system at no cost at all and will also have an outright saving of 38% on a monthly electrical bill, and given the non-financial benefits, solar PV rooftop system installation on the said four (4) campuses should be considered by the University.
The use of cognitive agent programs in management support

A modern economy, based on information and knowledge, forces organizations to use IT tools that support management processes.The authors presented the concept of using cognitive agent programs to support management.These programs are able to track economic phenomena and processes taking place in the organization and its environment, conduct an in-depth analysis of information, draw conclusions and take specific actions.The features of cognitive agents allow organizations to gain a competitive advantage by making the right decisions faster at the operational, tactical and strategic level and by limiting the impact of such human characteristics as emotions or fatigue on task execution.The first part of the article outlines a characterisation of cognitive agent programs.The management areas in which cognitive agents can be used are then analysed and presented.The final part of the article provides conclusions and further research work.
Pengembangan Website Sebagai Media Ajar Mitigasi Urban Heat Island dalam Materi Dampak Perubahan Iklim Global di SMA Muhammadiyah 1 Surakarta

The objectives of this study are: 1) Developing website media in urban heat island mitigation, 2) Knowing feasibility of website media in urban heat island mitigation that will be used in learning process. This study uses a learning media development model (research and development / R & D) by using 4D development research step which is modified by researcher into a 3D model. The development procedure in this study was obtained by product development and product testing. The product of this research produces a website learning media with material coverage of understanding of atmosphere, greenhouse effect, global warming, and how to mitigate urban heat island. The results obtained state that: 1) The development of website media uses a 4D model modified to 3D. Define contains test of student and teacher needs to determine what students and teachers need in media to be developed, design contains website design that has been analyzed in accordance with needs test and adjusted to layout, content and information in developed website media, development contains about validation of media experts and material experts as well as product trials developed on students and teachers to find out product is suitable for use. 2) The website learning media developed in class X SMA Muhammadiyah 1 Surakarta has been assessed by material experts, which is 4.5 which is included in Appropriate 'category, assessment by media experts is 4.2 which is included in the Very Appropriate category . The results of media feasibility assessment obtained from students and teachers as respondents got a total of 52 respondents and with an average score of 3.9 which was included in Feasible category. This value makes website media as a developed learning medium suitable for use in learning process of geography subjects in global climate change (urban heat island) material.
Classification of the streaming approximability of Boolean CSPs.

A Boolean constraint satisfaction problem (CSP), Max-CSP$(f)$, is a maximization problem specified by a constraint $f:\{-1,1\}^k\to\{0,1\}$. An instance of the problem consists of $m$ constraint applications on $n$ Boolean variables, where each constraint application applies the constraint to $k$ literals chosen from the $n$ variables and their negations. The goal is to compute the maximum number of constraints that can be satisfied by a Boolean assignment to the $n$~variables. In the $(\gamma,\beta)$-approximation version of the problem for parameters $\gamma \geq \beta \in [0,1]$, the goal is to distinguish instances where at least $\gamma$ fraction of the constraints can be satisfied from instances where at most $\beta$ fraction of the constraints can be satisfied. In this work we completely characterize the approximability of all Boolean CSPs in the streaming model. Specifically, given $f$, $\gamma$ and $\beta$ we show that either (1) the $(\gamma,\beta)$-approximation version of Max-CSP$(f)$ has a probabilistic streaming algorithm using $O(\log n)$ space, or (2) for every $\varepsilon > 0$ the $(\gamma-\varepsilon,\beta+\varepsilon)$-approximation version of Max-CSP$(f)$ requires $\Omega(\sqrt{n})$ space for probabilistic streaming algorithms. Previously such a separation was known only for $k=2$. We stress that for $k=2$, there are only finitely many distinct problems to consider. Our positive results show wider applicability of bias-based algorithms used previously by [Guruswami-Velingker-Velusamy APPROX'17], [Chou-Golovnev-Velusamy FOCS'20] by giving a systematic way to explore biases. Our negative results combine the Fourier analytic methods of [Kapralov-Khanna-Sudan SODA'15], which we extend to a wider class of CSPs, with a rich collection of reductions among communication complexity problems that lie at the heart of the negative results.
Implementing Natural Language Processes to Natural Language Programming

We exhibit a detailed implementation on the natural language processing for natural language programming in python. We break the natural language text into active verbs and plural nouns to realize the sentence breaker and loop finder. Various examples of the implementation are presented. The realization of the natural language text into a computer programming does benefit in understanding the structure of the natural language processing and also the construction of the natural language programming.
Les Transferts de Fonds Monétaires et les marchés boursiers dans les pays en développement

Migrant remittances tend to be more stable, unlike other sources of external financing, making remittances a reliable source for developing countries. Thus, despite the upward trend in remittances, stock markets in developing countries are generally characterized by high volatility. This study seeks to determine the relationship between remittances and stock markets in developing countries. This paper covers the period 1996-2018 using the Panel-Var model. This estimate shows the existence of a positive and significant relation between remittances and stock markets as well as a bi-causal relationship. Also, remittances have been found to be counter-cyclical and follow the theory of pure altruism.
LibGuides: Solving the World's Challenges Panel Presentation: Home

Virtual Exhibit for the Solving the World's Challenges Funk ACES Library panel presentation
HUBUNGAN TINGKAT PENGETAHUAN TERHADAP KEPATUHAN SAFETY RIDING PADA REMAJA DI SMA NEGERI 8 BALIKPAPAN

Driving a motorcycle needs to be supported by good driving knowledge, so that traffic order can be carried out so that road safety can be realized, besides that the enforcement of driving standards needs to be considered such as the use of helmets and driving documents. This study aims to determine the relationship of the knowledge variable (X) to the safety riding compliance variable (Y) of students of SMAN 8 Balikpapan. The method in this study using quantitative methods with a total sample of 54 students of class XII from a population of 120 students. Samples were taken randomly from two majors, namely natural Science and Social Sciences. Based on the results of the research sample test, all are valid and reliable and there is a significant relationship between the X variable and the Y variable with a P-value of 0.018. The conclusion of the research conducted on students of SMAN 8 Balikpapan that there is a significant relationship between the level of knowledge and compliance with safety riding.
A systematic experimental characterization of novel modulation schemes for quantum-enhanced classical communication

The exponential growth of the internet is currently fulfilled by optical communication, but photonic communication channels are on the verge of a capacity crunch. We systematically study the use of bandwidth and energy of quantum-enhanced communication channels for classical information with different practical encodings. We introduce hybrid encoding protocols with a simultaneous coherent frequency and phase modulation and optimize them for the most advantageous quantum measurement at the receiver. We experimentally map the energy and bandwidth use for the optimization of practical resource-limited channels using a tabletop platform. We also report the initial progress on developing an integrated telecom testbed.
Multi-scale fusion for underwater image enhancement using multi-layer perceptron

&lt;span id="docs-internal-guid-54b35aa6-7fff-0992-ed4c-aca4d05cfcfa"&gt;&lt;span&gt;Underwater image enhancement (UIE) is an imperative computer vision activity with many applications and different strategies proposed in recent years. Underwater images are firmly low in quality by a mixture of noise, wavelength dependency, and light attenuation. This paper depicts an effective strategy to improve the quality of degraded underwater images. Existing methods for dehazing in the literature considering dark channel prior utilize two separate phases for evaluating the transmission map (i.e., transmission estimation and transmission refinement). Accurate restoration is not possible with these methods and takes more computational time. A proposed three-step method is an imaging approach that does not need particular hardware or underwater conditions. First, we utilize the multi-layer perceptron (MLP) to comprehensively evaluate transmission maps by base channel, followed by contrast enhancement. Furthermore, a gamma-adjusted version of the MLP recovered image is derived. Finally, the multi-scale fusion method was applied to two attained images. The standardized weight is computed for the two images with three different weights in the fusion process. The quantitative results show that significantly our approach gives the better result with the difference of 0.536, 2.185, and 1.272 for PCQI, UCIQE, and UIQM metrics, respectively, on a single underwater image benchmark dataset. The qualitative results also give better results compared with the state-of-the-art techniques.&lt;/span&gt;&lt;/span&gt;
SOC in the Clouds

This chapter will discuss what cloud computing is, the major vendors of cloud computing, and how cloud security differs.