Reviewerly/exHarmony huggingface dataset:
Towards Intelligent Web Context-Based Content On-Demand Extraction Using Deep Learning

Information extraction and reasoning from massive high-dimensional data at dynamic contexts, is very demanding and yet is very hard to obtain in real-time basis. It is not impossible to achieve real-time management process on a huge data resource for content and high level information extraction. However, such process capability and efficiency might be affected and might be limited by the available computational resources and the consequent power consumption. Conventional search mechanisms are often incapable of real-time fetching a predefined content from data source, without concerning the increased number of connected devices that contribute to the same source. In this work, we propose and present a concept for an efficient approach for online content searching, takes advantage of  a) the structure of data profiling employed at the related data source; and b) the learning algorithms that are used for extracting its common features and for generating a map of indices to data contents. This enlables instant mapping of users’ requests to make the process as real-time as possible. As a case of study and a means for a simplified example, we represent the concept through an online application. The application takes two inputs. The first input is a URL, which belongs to a target website. The adopted learning algorithms main blocks are built using several machine learning algorithms and deep learning models to capture the semantic features in the targeted context of data sentences. The preliminary results conclusively confirmed that employing in our approach the recurrent neural networks as the core of the learning algorithm and the GloVE pretrained model as word embedding layer yielded highly acceptable levels of F1-score and prediction time.
Agile XL in Globally Distributed Environments

Agile is a software development approach based on a set of 4 values and 12 principles. Using this set Scrum was developed as a agile framework in the early 1990s, which still remains the most popular framework today. However, Scrum originated to be used by a small number of co-located teams. When the amount of teams and the distance between the teams becomes bigger, issues will start to arise. With the rise of the computer and internet, programming-related work environments have become very large and globally distributed, implying a friction when using agile in these environments. This study aims to explore what challenges occur when using agile in very-large globally distributed environments and explore for practices that can be used to deal with them. To do this, a variety of research methods is used to gain insight, those being a systematic literature review (SLR), interviews and online surveys. We identify 50 challenges that may be encountered and 72 practices that can be used to combat them. Our online survey verified that all found challenges are frequently encountered in practice and the majority have a significant impact when encountered. However we also identified multiple practices that are used often to combat certain high-impact challenges. The most important practices were identified to be training and coaching. Experts were invited to fill in an online survey to generate possible learning goals. These learning goals are used to create an education program prototype for very-large scale globally distributed agile software engineering. As examples, 4 use cases in different environments are provided to show the prototype can be used to construct a matching training program. We provide proposals for further research directions into challenges, practices and the education program based on the steps taken in this study.
Neural Fusion Model for Chinese Semantic Matching

Deep neural networks are the most popular choices for semantic matching nowadays. In this paper, we propose a novel Chinese semantic matching approach, namely Neural Fusion Model, which consists of char-word fusion encoder and encoding-interaction fusion classifier. The char-word fusion encoder models the char and word sequences separately, and then uses a char-word fusion units to fuse them together. The encoding-interaction fusion classifier jointly learns from three simple classifiers. There are a encoding based classifier, a interaction-based classifier and a fusion classifier. Among them, the fusion classifier combines encoding-based and interaction-based representation from multiple-perspective. These three classifiers share the two-layer feed-forward network for prediction. Empirical studies demonstrate the effectiveness of the proposed model for Chinese semantic matching, and it achieves the best results among non-BERT models. In addition, our BERT-equipped model obtains new state-of-the-art results on the Chinese semantic matching benchmark corpus: LCQMC and BQ.
The Standardization of the Second Generation Web Ontology Language

Ontology consists of a group of axioms that place constraints on sets of people (called classes) and therefore the forms of relationships allowable between them. These axioms give linguistics by permitting systems to infer extra data supported the information expressly provided. The Web metaphysics Language (OWL) may be a family of information illustration languages for authoring ontologies. Ontologies area unit a proper thanks to describe taxonomies and classification networks, basically process the structure of information for varied domains: the nouns representing categories of objects and therefore the verbs representing relations between the objects.
LibGuides: Southern Campus Departments: GEOLOGY

Welcome to the Southern Campus subject guidesUse these subject lib-Guides to help you make the most of the library and information resources. This guide will help you discover how to find books, journals and other information needs.
A Comparison between Python and C

Programming language is nothing but a set of instructions, algorithms which have some set of rules or syntax that governs the language, it acts as a medium of interaction between the machine and a user. C++ and python are one of the most basic and widely used programming languages in this modern era. Both of the languages have their own advantages and disadvantages which are compared and analysed in this paper. On comparing the results python comes out to be a more chosen or selected language because of its easy syntax, easy to read and debug, faster interpretation.
Studying joint spectral intensity of spontaneous four-wave mixing in optical nanofibers

Abstract Joint spectral intensity of the biphoton field generated via spontaneous four-wave mixing in an optical nanofiber was studied both experimentally and theoretically. The measured two-photon frequency distribution agrees well with the theoretically expected one that is calculated taking into account the spatially inhomogeneous profile of the taper. It is shown that measuring joint spectral intensity of the biphoton field makes it possible to determine the nanofiber radius with high accuracy.
Formation of the communicative competence to technical university students in the light of universal competences

The article deals with the formation of the communicative competence to technical university students in the light of universal competences. Taking into consideration the fact that nowadays it is necessary to act in the conditions of the competence approach, continuity of education and technologization of the educational process. All attention in this situation is maximally directed to the professional side of training and acquisition of professional competences by students. Along with the formation of professional competences, due attention is paid to the formation of general cultural and communicative competences, without which a graduate of a technical university will not be formed as a specialist of a high professional level. The student must quickly analyze the incoming information, creatively solve the problems created in the conditions of uncertainty, and must also have a communicative competence. In light of the new requirements of modern education, the formation of the universal competences is given priority, due attention is paid to the formation of the communicative competence since a high-level specialist is required to possess communication skills, both in the state language of the Russian Federation and in a foreign language
Library Guides: A Student Guide to Streaming Video: Home

There's a simple way to search all of the Pfau Library's streaming videos at once using OneSearch.
Implementation of Faculty Course Repository System

The aim of this repository system is to give students easy access to study material uploaded by the faculties and take their feedback. Faculties can upload their material in most of the commonly supported formats (mp4,docx,jpg,pdf, etc) and view live analysis for each post in a graphical format.
LibGuides: eBooks and Overdrive: Overdrive

If you are logging in from home you will be required to provide our username and password. Please contact your librarian.
Improvement in PSF Estimation Accuracy in Blind Image Restoration using PSO

An image can convey lots of information about the picture quality. Picture quality is the most notable and distinctive feature of the image providing an information in the specified area. An image can also be identified by its pixel range, shape, of an image but level information retrieval is very high in case of the restoration. Image restoration is a key aspect related to image processing generally categorized as verification and identification or (recognition). Motion blur, out of focus, camera shake are some common distractions to human appearance becoming the pitfall for the image restoration system. For the realization of image restoration systems, one of the well-known feature extraction methods is Blur Stein’s Unbiased Risk Estimation (SURE). This method is based on Point Spread Function (PSF) estimation. This method is a filtered version to calculate the PSF from the degraded image. Blur SURE method is usually envisaged as wiener filtering process. It minimized the blur MSE and then applies blur-SURE estimation over blur MSE. To enhance result for point spread function here particle swarm optimization technique is used. For the estimation of the PSF, particle positions are calculated by the PSO. Parametric form of the gaussian kernel is used for the estimation of function. When these parameters are calculated then PSF estimation is done. SURE LET deconvolution is used for the whole process with particle swarm optimization is done for deconvolution process of blind and non blind.
PENGEMBANGAN SISTEM INFORMASI KEMAJUAN AKADEMIK MENGGUNAKAN MODEL INCREMENTAL BERBASIS EVALUASI USABILITY DAN WHITE BOX TESTING

This research aims to develop an Academic Progress Information System (SIsKA) in the Computer Science Study Program, Postgraduate Program at Ganesha University of Education. The incremental development model is used in the development of SIsKA. The evaluation stage is carried out using the Focus Group Discussions technique to validate user input for the development stage. Evaluation was carried out on 20 respondents, who were selected using simple random sampling technique from active SIsKA users. Testing of the SIsKA development code is also carried out using White Box Testing. The results of the evaluation of phase 1 and phase 2 of development succeeded in providing recommendations for improvements according to user needs. The evaluation results from phase 3 of development show that SIsKA is in accordance with user needs. The results of the White Box test show that all lecturer page functions are at a simple level. Future development and evaluation can focus on improving the complexity of the 14 functions on the administrator and student pages, as well as analyzing data security related to SIsKA.
FORENSIK KOMPUTER HUMAN INTERFACE DEVICE BADUSB BERBASIS MICROCONTROLLER ATMEGA32U4 ARDUINO LEONARDO PADA REGISTRY SISTEM OPERASI MICROSOFT WINDOWS 7

One attack mode on information security is to use a BadUSB device that is connected to the target computer, using this technique various information such as memory dump activities to get the password and embed the reverse shell can be done in a matter of seconds on Microsoft Windows 7 operating system. This paper is an introduction to how computer forensic investigations can be carried out on computers to bring cyber criminals to court. Although the computer forensic technique discussed in this paper looks simple, but in fact this activity requires the precision and patience of the investigator. Keywords : Human Interface Device, BadUSB, ATMEGA32U4, and Registry.
Hotel in a Clickout: a Session-based RNN Prediction Approach

This thesis aims at analyzing and experimenting on a Session-based Recommender System problem, which dataset is provided by Trivago for the Recsys Challenge 2019. In order to predict the right hotel we develop a solution based on Recurrent Neural Networks, experimenting this recent technology in a field yet to be entirely explored. The diversity of the results obtained are interesting for analyzing how good this approach works in this field. Along with the solution described we analyze an ensemble of the results with a different algorithm(Matrix Factorization), which is discussed in another thesis. This comparison made it possible to make conclusions about how good different approaches are and why.
Knowledge infused policy gradients for adaptive pandemic control

COVID-19 has impacted nations differently based on their policy implementations The effective policy requires taking into account public information and adaptability to new knowledge Epidemiological models built to understand COVID-19 seldom provide the policymaker with the capability for adaptive pandemic control (APC) Among the core challenges to be overcome include (a) inability to handle a high degree of non-homogeneity in different contributing features across the pandemic timeline, (b) lack of an approach that enables adaptive incorporation of public health expert knowledge, and (c) transparent models that enable understanding of the decision-making process in suggesting policy In this work, we take the early steps to address these challenges using Knowledge Infused Policy Gradient (KIPG) methods Prior work on knowledge infusion does not handle soft and hard imposition of varying forms of knowledge in disease information and guidelines to necessarily comply with Furthermore, the models do not attend to non-homogeneity in feature counts, manifesting as partial observability in informing the policy Additionally, interpretable structures are extracted post-learning instead of learning an interpretable model required for APC To this end, we introduce a mathematical framework for KIPG methods that can (a) induce relevant feature counts over multi-relational features of the world, (b) handle latent non-homogeneous counts as hidden variables that are linear combinations of kernelized aggregates over the features, and (b) infuse knowledge as functional constraints in a principled manner The study establishes a theory for imposing hard and soft constraints and simulates it through experiments In comparison with knowledge-intensive baselines, we show quick sample efficient adaptation to new knowledge and interpretability in the learned policy, especially in a pandemic context © 2021 Copyright for this paper by its authors Use permitted under Creative Commons License Attribution 4 0 International (CC BY 4 0) CEUR Workshop Proceedings (CEUR-WS org)
Transmitting Insulin: The Design and Look of Insulin Delivery Devices as Technologies of Communication

In this article, we examine how insulin pens and pumps – two major devices for delivering insulin, the anabolic hormone used to treat Type 1 diabetes – are designed to conceal and fashion insulin delivery around their appearance as key communication technologies. Insulin pens and insulin pumps transform the aesthetics of insulin delivery away from the medicalized appearance of syringes toward that of beautiful technological artifacts. They both hide and draw attention to their status as technological artifacts and their medical use through a set of desirable, though sometimes incongruous, device aesthetics. Deliberately marketed around their resemblance to pens or pagers, insulin delivery devices are examples of skeuomorphs that “materialize the metaphor” of writing instruments and telecommunication tools into their design. We analyze how diabetes education and marketing materials present insulin delivery devices through skeuomorphic performances of use that uphold norms of concealment in diabetes self-management in conditions of social and medical surveillance. Drawing on patents, educational and marketing materials, and our own experiences with these devices, we argue that the skeuomorphic design of these devices morally regulates the embodied performance of diabetes. &#x0D;
Lahan Basah Buatan dengan Tanaman Paku Air (Azolla Microphylla)

The aim of this research is to calculate density and growth rate, efficiency of COD, BOD, BOD5/COD ratio and values (r), (kA), and (kV). The research method used a horizontal flow type artificial wetland with Azolla microphylla plants and gravel and sand media. Wastewater comes from mixed wastewater from the inlet point. The reactor used consists of 3, namely, R0 (control), R1 (25% wastewater; 75% clean water), R2 (50% wastewater; 50% clean water). Acclimatization of plants with a load of 25% and 50% of the wastewater of each reactor with 40% initial cover area. The discharge of artificial wetlands is 51,84 m3/day. The results showed that the artificial wetland system with a load of 25% resulted in growth rates ranging from 0,1145 gr/day-0,1682 gr/day at a density of 37,04–118,52 ind/m2, the growth rate with a load of 50% between 0,1030 gr/day–0,2653 gr/day at a density of 37,04 ind/m2–103,70 ind/m2. COD efficiency at plant density with a load of 25% ranges from 15,89%-56,16%, BOD 14,26%-24,33% at a density of 37,04-118,52 ind/m2, COD efficiency with a load of 50% water waste 20,18%-29,55%, BOD 15,52%-22,65% at a density of 37,04-140,74 ind/m2. The removed organic load in COD parameters is 8294-20373 kgCOD/ha/day in reactor 1 and 15759-32348 kgCOD/ha/day in reactor 2, BOD is 7393-12612 kgBOD/ha/day in reactor 1 and 8046-18483 kgBOD/ha/day in reactor 2. Average COD in reactor 1 value (R) 6102 gr/m2/day, kA 38,58 m/day, kV 0,10/day. The average value of COD in the reactor 2 values (r) 8858 gr/m2/day, kA 53,41 m/day, kV 0,14/day. The value of BOD in the reactor 1 value (r) 3754 gr/m2/ day, kA 38,77 m/day, kV 0,10/day. In reactor 2 the average (r) was 4148 gr/m2/day, kA 44,09 m/day, and kV 0,11/day.
DATA SECURITY IN CLOUD COMPUTING

Cloud computing is a model which enables widespread access to a shared pool of resources including the characteristics of scalability, virtualization and many others. The most important service offered by cloud is storage wherein the users store the required data. Security is a concern here as the data is stored on remote server with multi user capabilities. The data is at the risk of unauthorized access thereby reducing reliability and privacy. The key issue in cloud regarding security is the openness of the host or service providers. A gateway to the hacker is being provided when a test environment is set on a cloud. Cloud allows exchange of information among its services which requires standards. This development of standards is tough due to the interoperability issues. An intruder can provide malicious threat to the cloud data.The developments of standards are still a concern in security of the cloud. Though there is increasing research done to enhance the security, new issue arises, or the security method becomes inappropriate for the scalable services. Program clustering and slicing for user efficiencies is difficult for the same reason.To enhance the issues of cloud security such as•Data privacy.•Data integrity.•Prevent unauthorized access to the cloud.•Managing interoperability.
EDUCATION IN NOVEL "THE DREAMERS" WORKS ANDREA HIRATA

The purpose of this study is to describe the educational values used by the author in the novel The Dreamers. This research is in the form of descriptive qualitative. Based on the results of the study it can be concluded: in the novel The Dreamer Andrea Hirata wants to convey educational values that are very useful for readers by living the contents of the story in them, so that they can become more lively and add variety and avoid monotonous things that can make bored reader. Educational values contained in the novel The dreamers, based on the results of the analysis consists of four values. The values of education are: (a) the value of religious education is the point of view that binds man and God the creator of nature and everything, in the novels of the Dreamer, (b) the value of moral education, a value that is a measure of whether or not humans should socialize in social life , in the novel The Dreamers, (c) the value of social education is an awareness and emotion that is relatively sustainable towards an object, idea, or person, in the novel The dreamers
LibGuides: Music Resource Guide: Topic/Research Question

A guide from Funderburg Library on how to use library resources to do research for your music classes.
ANALYSIS OF ACEHNESE EFL STUDENTS’ ABILITY IN MASTERING MAIN IDEA IN READING

This study aims to analyze the reading ability of the students in Intensive Reading Comprehension class. This study analyzes the English Department students ’ ability in finding and understanding the main idea from the text as their learning material of reading. So later on, the data about their ability in finding the main idea will be gained. To reach the goal, random sampling is used in which 10 students from semester I in Intensive Reading Comprehension class as the object of this study. The document study helped the writer to collect the data. The random selected document was analyzed to solve the problem of the study. This study focused on the students ’ ability in mastering main idea of the English text. So forth, the writer analyzed the questioned made by the lecturer and then got four from ten questions about main idea. From the gaining data, it is found that two students who got excellent score, while the rest (eight students) was in poor category. By this result, some positive ways need to be applied by both lecturer and students to increase students ’ ability in mastering main idea .
A Segurança Comunitária e a Pandemia de COVID-19 | Community Safety and the COVID-19 Pandemic

This article analyses the community safety paradigm in the light of the current pandemic crisis caused by COVID-19. In full evolution, the analysis presented considers the current security and civil protection needs, in particular the security aspects of community security. Through the development of strategies involving security forces and services, the community and citizens, the authors demonstrate the practical importance of security municipalisation through local administrative police, evolving into an important regionalization of security. Similarly, community policing and proximity strategies are observed in accordance with public security policies that point to greater political awareness in security problematization.
cREAtIve

cREAtIve targets the development of novel highly-adaptable embedded deep learning solutions for automotive and traffic monitoring applications, including position sensor processing, scene interpretation based on LiDAR, and object detection and classification in thermal images for traffic camera systems. These applications share the need for deep learning solutions tailored for deployment on embedded devices with limited resources and featuring high adaptability and robustness to changing environmental conditions. cREAtIve develops knowledge, tools and methods that enable hardware-efficient, adaptable, and robust deep learning.