Reviewerly/exHarmony huggingface dataset:
Data Curation Challenges for Artificial Intelligence

Deep learning algorithms have brought on a paradigm shift to automated medical image analysis approaches including segmentation. While state-of-the-art models can achieve near human-like performance on many tasks, these same algorithms can be remarkably brittle and lack the ability to generalize across datasets and institutions. A key component to training robust algorithms and evaluating generalizability is the curation of large quantities of heterogeneous data from diverse sources. In this chapter, the key challenges of data curation are discussed, with focus on the complexity of medical data, patient privacy protection, data quality issues, and data annotation. Solutions to the aforementioned challenges are also detailed. Methods for protecting patient privacy include automated anonymization and distributed deep learning techniques. Algorithms can be utilized to detect and correct for data quality issues. Natural language processing, crowdsourcing, and weakly supervised learning can be implemented to decrease annotation burden. Lastly, machine learning competitions can be an effective framework for constructing large, high-quality, multi-institutional datasets.
Informação e implicações epistemológicas e políticas: questões entre fisicalidade e materialidade

Considering information materiality and physicality as topics privileged to, respectively, information physical and social paradigms, this paper aims to discuss these terms conceptually so as to propose theoretical paths to help formulate questionings on political and epistemological implications such concepts confer to the field of information and documentation sciences. By means of a qualitative approach, the theoretical analysis led through paths to achieve results concerning [i] cultural and bureaucratic materiality and information policies; [ii] differentiation between information materiality and physicality, finding reference in reality representation modes, regarding [iii] the monumental and proof character of information and document. Final considerations brought questionings on political and epistemological implications of informational approaches, especially in digital contexts and on network, where phenomena such as datification, under the influence of information regimes, become the topic.
DEVELOPMENT AND MANUFACTURE OF AN AUTONOMOUS PORTABLE CARDIOPULMONARY RESUSCITATION DEVICE

The paper considers the features of solving technological problems aimed at creating a sample of an Autonomous portable cardiopulmonary resuscitation device. Technological and design solutions of a heart resuscitator for domestic production are described. Comparative characteristics of existing cardiopulmonary resuscitation devices are given.
Концепти застосування праймінгу та тригеру ЗМІ в політичному житті

The article is aimed at consideration and study of such media tools as priming and trigger. There are many questions about the patterns of influence of the information array on society, on political life. The analysis of the researches presented in the literature reveals that the theoretical scientific interest is not active enough in Ukraine. Direct attention is paid to the use of these tools in political life, in political advertising and so on. At the present stage, the model of priming is actively used in cognitive research, which makes it possible to track the effect of prime on cognitive reality. It is interesting and promising to study the local effects of the influence of unconscious information on the effects of awareness in political life. However, so far political science has not reached definitive conclusions about the dependence of the priming effect on political consciousness, political choice, and so on. The article presents the definition of political priming and trigger, discusses problematic issues and settings. Special attention is paid to the distinction between the concepts of "priming" and "priming effect". It is determined that the effect of priming is active in political life, in particular, in political advertising. Virtually every political actor wants to influence the process of activating the voter's memory. The theory of political media priming focuses on how an individual perceives political information received from the media. An important additional element of the priming process is the use of triggers. The need for triggers is due to the need to analyze events that are not directly related to politics, but can be interpreted in a political way.
An Analysis of Students’ Perceptions in Implementation 2013 Curriculum on Senior High School English Language Teaching (ELT) in Bojonegoro

Abstract: This study aims to analyze students’ perception in implementation of the 2013 curriculum on senior high school English language teaching (ELT) in Bojonegoro in (1) How are the students’ perceptions of the 2013 curriculum in terms of the learning process senior high school English language teaching?(2) How are the students' perceptions on the 2013 curriculum in terms of learning support in senior high school English language teaching?. Results of the analysis of students' perceptions of the 2013 curriculum in English Language Learning and Teaching in terms of the learning process and learning support, they were answered with a questionnaire. The learning process shows the following results: knowledge-perception (81%), exploration (84%), consolidation of learning (81%), the formation of attitudes and behavior (84%), formative assessment (81%), and learning support as follows: teacher quality (97%), student quality (90%) facility quality (68%). It can be concluded that the students' perceptions about the 2013 curriculum were positive, with the percentage strongly agreeing or very suitable between 76% -100%. Keywords: 2013 Curriculum; Students’ Perceptions; English Language Teaching (ELT); Qualitative Research Abstrak: Penelitian ini bertujuan untuk menganalisis persepsi siswa dalam implementasi kurikulum 2013 pada pengajaran bahasa Inggris di sekolah menengah atas (ELT) di Bojonegoro dalam (1) Bagaimana persepsi siswa terhadap kurikulum 2013 ditinjau dari proses pembelajaran pada pembelajaran bahasa Inggris di SMA? (2) Bagaimana persepsi siswa terhadap kurikulum 2013 dalam hal dukungan pembelajaran pada pembelajaran bahasa Inggris di SMA ?. Hasil analisis persepsi siswa terhadap kurikulum 2013 dalam Pembelajaran dan Pengajaran Bahasa Inggris ditinjau dari proses pembelajaran dan penunjang pembelajaran dijawab dengan angket. Proses pembelajaran menunjukkan hasil sebagai berikut: pengetahuan-persepsi (81%), eksplorasi (84%), konsolidasi pembelajaran (81%), pembentukan sikap dan perilaku (84%), penilaian formatif (81%) dan dukungan pembelajaran sebagai berikut: kualitas guru (97%), kualitas siswa (90%) kualitas fasilitas (68%). Dapat disimpulkan bahwa persepsi siswa terhadap kurikulum 2013 adalah positif dengan persentase sangat setuju atau sangat sesuai antara 76% -100%. Kata Kunci: Kurikulum 2013; Persepsi Siswa; Pengajaran Bahasa Inggris (ELT); Penelitian kualitatif
Smart Cage for Lovebird Base on Internet of Things

Various types of lovebirds and maintenance media are an option for some people. In maintaininglovebird birds, providing regular feed and drinking has become a necessity that must be done so that thelovebirds do not lack nutrition which can result in death of pet lovebirds, and to maintain the health oflovebirds, clean cages are needed, namely by frequently removing their droppings. The obstacles thatcommonly occur in lovebird maintenance are irregularities in the timing of feeding and drinking lovebird birds.As a result, is not uncommon for lovebirds to become less feed and drink, even resulting in the death of the pet.This problem can be solved with a smart cage using an object detection system. So, this system can feed anddrink automatically, by detecting the object (feed and water), to detect feed using an infrared sensor and todetect water using a water level sensor. And this system can also perform cage cleaning according to the timewe set using the Real Time Clock. This system can make it easier for bird keepers who are busy with theiractivities so that their pets can be fully cared for.
Research Guides: Knowledge Organization and Metadata Services: MARC training

Outlines the mission and responsibilities of the department and provides access to the tools used to accomplish this work. Consists of videos and other webpages explaining the history and functionality of the MARC encoding standard
SISTEM INFORMASI PENGELOLAAN DATA ALUMNI BERBASIS WEB PADA SMK BINA MANDIRI 2 SUKABUMI

Schools must have alumni information data after graduating from school, so far the data collection is only done by taking notes in printed documents, resulting in data management that cannot be done quickly and still often has errors and is difficult to update, this problem can be overcome with a the method that is developing is the programming system. One of them is programming in the form of software. With this information management system software, it is expected to help manage school alumni data.
Karl Mundt Library: Don't Panic! The 2020 Pandemic LibGuide: Library Resources from Home

This guide has all the resources you need to stay productive and keep your classes and research going!
A Generator Based Polynomial with Secret Encryption Scheme for Secure Data Sharing and Privacy in Multi-Party/Federated-Cloud Computation

Now a days exploring and analyzing or mining data in various ways give insights into future for invention and plays a critical role in decision making. For accurate analytical assertion of data, accurate results is essential. So hiding data and at the same time preserving data privacy is necessary to protect externals from attacks. An successful process for sharing sensitive information for data processing, validation and publication should then be deducted. In this paper Polynomial Based Encryption Secret Sharing Scheme (PBESSS) for Multi-Party mechanism is proposed that allows multiple parties to exchange secret data between them at the same time secret data is encrypted so as to protect from untrusted parties. Each party will have stronger protection by selected own polynomial with primitive root number ‘generator’ and the secret data will be in cryptic form and it can be found by each party after final computation of polynomials. This multi-party mechanism can be applied to federated cloud for computation securely.
Particle-Based Communication Among Game Agents

One approach to creating realistic game AI is to create autonomous agents that can perform effectively with no more knowledge than a human player would have in their place. In a multi-agent setting, it is also necessary to devise a means for communicating among agents in collaborative game scenarios (such as a group of controlled agents that are searching for the player), since agents no longer have access to global knowledge. We present a method for communication using particle filters in the setting of game state estimation. Particle filters are an efficient, nonparametric means of performing inference in complex environments. Their use in game AI is particularly compelling, as they provide an easy way to represent nonlinear, non-Gaussian inferences about the state space, while exhibiting computational thrift. We demonstrate that communication among a group of agents — using particle filters to reason about the state space — can be accomplished in a natural way by sharing particles among the agents' filters. We also show how a criterion for deciding when to communicate naturally falls out of this framework. We apply this model in the setting of coordinated target detection, and find that agents of heterogenous types and complexities can nevertheless coordinate effectively
A duality based 2-approximation algorithm for maximum agreement forest

Abstract We give a 2-approximation algorithm for the Maximum Agreement Forest problem on two rooted binary trees. This NP-hard problem has been studied extensively in the past two decades, since it can be used to compute the rooted Subtree Prune-and-Regraft (rSPR) distance between two phylogenetic trees. Our algorithm is combinatorial and its running time is quadratic in the input size. To prove the approximation guarantee, we construct a feasible dual solution for a novel exponential-size linear programming formulation. In addition, we show this linear program has a smaller integrality gap than previously known formulations, and we give an equivalent compact formulation, showing that it can be solved in polynomial time.
High Speed 3d DWT VlSI Architecture for Image Processing Using Lifting Based Wavelet Transform 

Although the DCT-based image compression method using in the JPEG standard has been very successful in the several years, it still has some properties to improvement. A fundamental shift in the image compression approach came after the discrete wavelet transform (DWT) became popular, and it is adopted in the new JPEG 2000 standard So the digital information must be stored and retrieved in an efficient and effective manner, in order for it to be put to practical use. The Discrete Wavelet Transform (DWT) was based on time-scale representation. It provides efficient multi-resolution. DWT has been implemented by convolution method. For Such an implementation it requires a large number of computations and a large storage features that are not suitable for either high-speed or low-power applications. Hence the architecture for a high speed lifting based 3D (DWT) VLSI architecture is proposed. The lifting based DWT architecture has the advantage of lower computational complexities and also requires less memory. This lifting scheme has several advantages, including in-place computation of the DWT, integer-to-integer wavelet transform (IWT), symmetric forward and inverse transform. It uses a combination of 1D-DWT along with a set of memory buffers between the stages. The whole architecture was arranged in efficient way to speed up and achieve higher hardware utilization. It is desirable for high-speed VLSI applications.
Automated Generation of Diverse NPC-Controlling FSMs Using Nondeterministic Planning Techniques

We study the problem of generating a set of Finite State Machines (FSMs) modeling the behavior of multiple, distinct NPCs. We observe that nondeterministic planning techniques can be used to generate FSMs by following conventions typically used when manually creating FSMs modeling NPC behavior. We implement our ideas in DivNDP, the first algorithm for automated diverse FSM generation.
A* Variants for Optimal Multi-Agent Pathfinding

Several variants of A* have been recently proposed for find-ing optimal solutions for the multi-agent pathfinding (MAPF)problem. We describe the application of the new enhancedpartial-expansion technique to MAPF, show how patterndatabases can be applied on top of this technique and com-pare the different A* variants experimentally.
Multi-Label Learning on Tensor Product Graph

A large family of graph-based semi-supervised algorithms have been developed intuitively and pragmatically for the multi-label learning problem. These methods, however, only implicitly exploited the label correlation, as either part of graph weight or an additional constraint, to improve overall classification performance. Despite their seemingly quite different formulations, we show that all existing approaches can be uniformly referred to as a Label Propagation (LP) or Random Walk with Restart (RWR) on a Cartesian Product Graph (CPG). Inspired by this discovery, we introduce a new framework for multi-label classification task, employing the Tensor Product Graph (TPG) — the tensor product of the data graph with the class (label) graph — in which not only the intra-class but also the inter-class associations are explicitly represented as weighted edges among graph vertices. In stead of computing directly on TPG, we derive an iterative algorithm, which is guaranteed to converge and with the same computational complexity and the same amount of storage as the standard label propagation on the original data graph. Applications to four benchmark multi-label data sets illustrate that our method outperforms several state-of-the-art approaches.
A Hybrid Design Methodology for an Introductory Software Engineering Course with Integrated Mobile Application Development

Abstract A Hybrid Design Methodology for an Introductory Software Engineering Course with Integrated Mobile Application DevelopmentAbstract: This paper discusses an experimental version of a core undergraduate softwareengineering course at the University of _______ (U__). EECE 3XXXC – Software Engineeringis a 4-credit hour undergraduate course with an integrated laboratory component. It is a requiredcourse for all computer science and computer engineering students. Traditionally, this courseconsisted of in-class lectures, and laboratory projects that required students to develop softwarefor a serious game based on a discrete-event simulation model using Java. The course designprocess was built on the waterfall model, integrated with important concepts from extremeprogramming (XP), including test-driven development using three levels of design and testing(system, black box, and glass box) and an onsite customer. When U__ recently converted theiracademic calendar from quarters (10 weeks) to semesters (15 weeks), the additional instructiontime provided an opportunity to revisit and expand the design process model of the course. Inaddition to the existing features of the course that allow effective instruction in contemporarysoftware engineering principles, the experimental version of the course incorporated thefollowing variations:1. the laboratory project now involves open-source mobile application development;2. the hybrid design methodology (waterfall and XP) is further explored by incorporating two or more development cycles into the project, while additional classroom activities furthers understanding of connections between the development process and application needs;3. five active-learning sessions are included to enable reflection on past co-operative education or internship experiences and relate them to classroom learning. The objective of this novel pedagogical strategy, which we call UnLecture, is to bridge the gap between software engineering practice and computing education.This experimental version of the course was offered during the summer 2013 semester. Thispaper will describe course design, pedagogical methods, and assessment results from thisoffering of the course. The course design provides simple solutions to effectively integrate thehybrid design methodology, mobile application development, and active learning techniques. Itis anticipated that this work will be especially useful for first time course developers and/orinstructors interested in migrating from general-purpose/web application based softwareengineering courses to mobile application-based courses. Furthermore, the paper will address thefollowing aspects from a classroom instruction perspective: (1) the importance of structureddesign and requirements analysis in building secure and reliable software systems, (2) thebenefits and pitfalls of using XP in a classroom setting, and (3) the need to introduce conceptsimportant for secure and safety-critical systems into introductory software engineering courses.
Applying GREASE to TLS Extensibility

This document describes GREASE (Generate Random Extensions And SustainExtensibility), a mechanism to prevent extensibility failures in theTLS ecosystem. It reserves a set of TLS protocol values that may beadvertised to ensure peers correctly handle unknown values.
Evaluation of Eight Project Selection Methods: the Case of Information Systems

Determining the priorities of projects is an essential step in the planning process. Usually, the limited availability of resources prohibits the simultaneous execution of all proposed projects, A number of project selection methods have been developed to ensure a deliberate process of determining priorities. In this paper we describe and discuss eight of these methods: cost benefit analysis, risk analysis, ranking, scoring, zero one programming, knowledge-based systems, steering committees, and the analytic hierarchy process. We evaluate these methods based on a set of eight criteria. We conclude that none of the methods meets all requirements. An important shortcoming of most methods is the inability to support group decision-making despite the increasing importance of this criterion. As a consequence, the appropriateness of the methods depends on the characteristics of the decision situation. Our analysis provides guidelines for choosing a method in a specific situation.
The Internet as a new chance for academic communities

Some universities in Central and Eastern Europe are facing a crisis of identity. Academic institutions have for centuries developed independence, liberal education and independent research. Freedom and independence have always been essential for the quality of academic work. Thanks to this , scholars and scientists were restricted only by their own ignorance, which in its turn , was restricted by experience. It meant that the age of the scholar was usually connected to his knowledge. The older scientist had to be smarter and wiser.
WEB 2.0 IN ENGLISH LANGUAGE TEACHING: USING WORD CLOUDS

Wordle is a free word art tool that mixes any chunk of text in production of a visual representation of the content and creates word clouds from text. Word clouds visually highlight the most often used words in the passage. The more frequently a word appears in the text, the larger its size in the visual design. The user can alter the colors, style and layout of the word collage. Wordle has many advantages and benefits in various fields of study. This study aims to introduce Wordle.net as one of the most useful tools for English teachers. It presents different usages of wordling in teaching language skills – reading, writing, speaking and listening. The study also provides further recommendations for English teachers in using Wordle as a teaching tool.
On-board Clutch Slippage Detection and Diagnosis in Heavy Duty Machine

In order to reduce unnecessary stops and expensive downtime originating from clutch failure of construction equipment machines; adequate real time sensor data measured on the machine in combination with feature extraction and classification methods may be utilized.This paper presents a framework with feature extraction methods and an anomaly detection module combined with Case-Based Reasoning (CBR) for on-board clutch slippage detection and diagnosis in heavy duty equipment. The feature extraction methods used are Moving Average Square Value Filtering (MASVF) and a measure of the fourth order statistical properties of the signals implemented as continuous queries over data streams. The anomaly detection module has two components, the Gaussian Mixture Model (GMM) and the Logistics Regression classifier. CBR is a learning approach that classifies faults by creating a new solution for a new fault case from the solution of the previous fault cases. Through use of a data stream management system and continuous queries (CQs), the anomaly detection module continuously waits for a clutch slippage event detected by the feature extraction methods, the query returns a set of features, which activates the anomaly detection module. The first component of the anomaly detection module trains a GMM to extracted features while the second component uses a Logistic Regression classifier for classifying normal and anomalous data. When an anomaly is detected, the Case-Based diagnosis module is activated for fault severity estimation.