Reviewerly/exHarmony huggingface dataset:
The Numerical Computation of Clear-Sky Transmittance and Reflectance of Solar Radiation for the Modeling of PV System Performance

Modeling of photovoltaics (PV) system performance requires numerical computation of plane-of-array (POA) irradiances that are influenced by atmospheric absorption and scattering. Clear-sky transmittance and reflectance of diffuse irradiance are essential for the understanding of solar radiation related to multiple reflection between land surface and clouds. This study analytically solves the radiative transfer equation for clear-sky conditions and numerically computes the transmittance and reflectance of diffuse irradiance as functions of the optical thickness of the atmosphere. The computation will be implemented in all-sky radiative transfer models to improve their computational efficiency.
James P. Adams Library: Open/Open-Enabled Pedagogy: Training, Documentation & Events

Subjects: Open Access, Open Educational Resources & Open Textbooks Tags: oer, oer-enabled pedagogy, open, open collaboration, open educational resources, open pedagogy, open p
My Day Two 2020 @IndieWebCamp Online Goal: Build a Poetry Page

Currently I am in the middle of a 30 day pop up poetry community and I share poetry all over the web. I need one
The Readibility of the Arabic Textbook for the Students of Senior High School in Indonesia Written by Zakiyah Arifah & Nadia Afidati

ABSTRACT: Textbooks are essential parts in learning process for students and even teachers. T extbooks are considered to be the basic foundations of courses. Textbooks may not contain all aspect s needed in the teaching and learning process , but their existence as teaching sources is still paramount . This study is aimed at analyzing the readability level of an Arabic textbook for eleventh graders and identifying the factors influencing the readibility. To achieve the aim of this study, a cloze test was used to measure the level of readability of the textbook. This study is a descriptive quantitative approach . A questionnaire was also employed to identify the factors that influence the readability level of the book. This study involved 36 students of grade XI of SMA PGII ( Sekolah Menengah Atas, Pendidikan Guru Islam Indonesia or Senior High School, Indonesia Muslim Teacher Education ) 2 Bandung , West Java, Indonesia, in the school year of 2016/2017. Three passages from the book entitled “ Al - Lughah a l - Arabiyah : Bahasa Arab untuk SMA dan Sederajat ” [ Arabic Language for Senior High School and Equivalent] written by Zakiyah Arifah & Nadia Afidati (2012) were randomly chosen as a sample. The r esults of the study show that the level of readability of the book was medium with a percentage of 40.6%. This suggests that the book can be fairly easily used and understood by students and they can interact with the book. Guidance and assistance from a teacher is advisable. This medium level of readability is generally caused by the reader factor, specifically the students' reading skill . KEY WORDS: Level of Readability; Arabic Textbook; A rabic Language Teaching. About the Author s : Dr. Yayan Nurbayan is a Lecturer at the Faculty of Language and Literature Education UPI (Indonesian University of Education), Jalan Dr. Setiabudhi No.229 Bandung 40154, West Java, Indonesia. Ihwan Rahman Bahtiar, M.Pd. is a Lecturer at the Faculty of Language and Art UNJ (State University of Jakarta), Jalan Rawamangun Muka, East Jakarta, Indonesia. For academic interests, the Authors are able to be contacted via e-mails address at: yayannurbayan@upi.edu and achita.weng@gmail.com Suggested Citation: Nurbayan, Yayan & Ihwan Rahman Bahtiar. (2019). “The Readibility of the Arabic Textbook for the Students of Senior High School in Indonesia Written by Zakiyah Arifah & Nadia Afidati” in EDUCARE: International Journal for Educational Studies , Volume 12(1), August, pp.25-38. Bandung, Indonesia: Minda Masagi Press owned by ASPENSI with ISSN 1979-7877 (print) and ISSN 2621-587X (online). Article Timeline: Accepted (April 21, 2019); Revised (June 22, 2019); and Published (August 31, 2019).
Implementing Dynamic Answer Set Programming.

We introduce an implementation of an extension of Answer Set Programming (ASP) with language constructs from dynamic (and temporal) logic that provides an expressive computational framework for modeling dynamic applications. Starting from logical foundations, provided by dynamic and temporal equilibrium logics over finite linear traces, we develop a translation of dynamic formulas into temporal logic programs. This provides us with a normal form result establishing the strong equivalence of formulas in different logics. Our translation relies on the introduction of auxiliary atoms to guarantee polynomial space complexity and to provide an embedding that is doomed to be impossible over the same language. Finally, the reduction of dynamic formulas to temporal logic programs allows us to extend ASP with both approaches in a uniform way and to implement both extensions via temporal ASP solvers such as telingo
A GPU Implementation Method of Deep Neural Networks Based on Data Swapping

Deep neural networks have attracted a great deal of research attention due to the potential of building efficient classifiers for a variety of recognition problems. The major drawbacks of deep neural networks are significant training time and memory usage. In this paper, we propose an implementation method of deep neural networks using a single GPU based on the idea of data swapping. The proposed method introduces the concept of virtual layer on a GPU and employs multiple virtual layers to reduce the overhead of data swapping between a host PC and the GPU. Experimental results showed that the proposed method reduced the memory usage by about 73% compared with the conventional method and the training time by about 33% by the triplication of virtual layers.
Соционика и глобальные компетенции ХХІ века

A person of the future must be ready to live in a multicultural society, accept different value systems and fulfill his tasks, taking into account their diversity. Thanks to the use of socionic knowledge and skills, it is possible from childhood to develop people's creative inclinations and their innate tendencies, taking into account socionic types, as well as to teach people to interact respectfully - not to harm another person, neither physical nor moral.
New Program Abstractions for Privacy

Static program analysis, once seen primarily as a tool for optimising programs, is now increasingly important as a means to provide quality guarantees about programs. One measure of quality is the extent to which programs respect the privacy of user data. Differential privacy is a rigorous quantified definition of privacy which guarantees a bound on the loss of privacy due to the release of statistical queries. Among the benefits enjoyed by the definition of differential privacy are compositionality properties that allow differentially private analyses to be built from pieces and combined in various ways. This has led to the development of frameworks for the construction of differentially private program analyses which are private-by-construction. Past frameworks assume that the sensitive data is collected centrally, and processed by a trusted curator. However, the main examples of differential privacy applied in practice - for example in the use of differential privacy in Google Chrome’s collection of browsing statistics, or Apple’s training of predictive messaging in iOS 10 -use a purely local mechanism applied at the data source, thus avoiding the collection of sensitive data altogether. While this is a benefit of the local approach, with systems like Apple’s, users are required to completely trust that the analysis running on their system has the claimed privacy properties. In this position paper we outline some key challenges in developing static analyses for analysing differential privacy, and propose novel abstractions for describing the behaviour of probabilistic programs not previously used in static analyses.
Investigation of User Vulnerability in Social Networking Site

The vulnerability of the social network users becomes a social networking problem. A single vulnerable user might place all friends at risk therefore, it is important to know how the security of the social network users can be improved. In this research, we aim to address issues related to user vulnerability to a phishing attack. Short text messages of the social network site users were gathered, cleaned and analyzed. Moreover, phishing messages were build using social engineering methods and sent to the users. K-means and Mini Batch K-means clustering algorithm were evaluated for the user clustering based on their text messages. A special tool was developed to automate the users clustering process and a phishing attack. Analysis of users responses to the phishing messages built using different datasets and social engineering methods was performed, and corresponding conclusions about user vulnerability were made.
A Blockchain based Fusion Mechanism of Resource Supply Systems

Various social resource supply systems in China are decentralized, lacking information communication channels and coordination mechanisms. This condition results to low mobilization efficiency, resource scheduling conflicts and poor coordination performance, which highlights the urgency to improve resource sharing capabilities. In response to this situation, this paper studies the fusion mechanism of resource supply system with the expert system as the supervisory decision layer and the P2P (Peer-to-Peer) network as the autonomous decision layer. Based on the location, time and category of resource demand events, a three-dimensional blockchain model is established to describe resource scheduling problems of resource supply systems in different situations. Considering the difference between the resource sharing scenario and the conventional peer-to-peer transaction scenario, a consensus mechanism based on credit certificate is designed. Finally, a prototype system of resource supply system fusion blockchain with limited nodes to participate is built on Ethereum. Simulation results of the prototype system prove that the blockchain based fusion mechanism of resource supply systems is reasonable and feasible.
Scientific Research From The Perspective Of Functional Stylistics

We highlight the importance of the editing of scientific paperwork as the correct drafting of the scientific papers is very important, because the way the findings of scientific research are transmitted and their practical use lead to fast and efficient communication between specialists. The quality and accuracy of language, the lack of grammatical errors, following the norms of the scientific style, is imperatively imposed. Moreover, it is about complying with the copyright, highlighting the scientific values in the field, in the sense of promoting the norms of stylistic language of research as a new set of values.
Online Adversarial Coverage for Multi-Agent Systems

Robotic exploration or Robotic area coverage of unknown environments is an important aspect of research these days. Such type of exploration is called online exploration or online coverage. This paper presents an online coverage technique for adversarial environment, using multiple robots. In adversarial coverage, robots perform coverage in the environment with hazards and threats, which might damage or stop it. In online coverage techniques, coverage task is completed without map. This paper presents an online adversarial coverage technique for covering a dynamic and adversarial environment using hybrid architecture. Hybrid architecture is combination of behavior based architecture and classical architecture. Different Behaviors are designed and some of the basic behaviors are modified for obstacle avoidance, navigation and coverage. Efficient algorithms and data structures are used to monitor threat movement and previously visited locations. These threats and visited locations are combined with obstacle avoidance behaviors. The idea is to use multiple less expensive robots instead of using one expensive robot for covering area, without leaving any part of the area uncovered.
An Efficient Approach for Semantic Relatedness Evaluation Based on Semantic Neighborhood

In the context of natural language processing and information retrieval, ontologies can improve the results of the word sense disambiguation (WSD) techniques. By making explicit the semantics of the term, ontology-based semantic measures play a crucial role to determine how different ontology classes have a similar meaning. In this context, it is common to use semantic similarity as a basis for WSD. However, the measures generally consider only taxonomic relationships, which affects negatively the discrimination of two ontology classes that are related by the other relationship types. On the other hand, semantic relatedness measures consider diverse types of relationships to determine how much two classes on the ontology are related. However, these measures, especially the path-based approaches, has as the main drawback a high computational complexity to be calculated in query execution time. Also, for both types of semantic measures, it is unpractical to store all similarity or relatedness values between all ontology classes in memory, especially for large ontologies. In this work, we propose a novel approach based on semantic neighbors that aim to improve the query time in path-based semantic measures without losing their effectiveness in relatedness analysis. We also propose an efficient algorithm to calculate the semantic distance between two ontology classes. We evaluate our proposal in WSD using a pre-existent domain ontology for well-core description. This ontology contains 929 classes related to rock facies and a set of sentences from four different corpora about geology in the Oil\&Gas domain. In the experiments, we compared our approach with state-of-the-art semantic relatedness measures, such as path-based, feature-based, information content, and hybrid methods regarding the F-score, query time and the total number of classes in memory. The experimental results show that the proposed method obtains F-score gains in WSD, as well as an improvement in the query time concerning the traditional path-based approaches. Also, we reduce the total number of classes stored in memory for each ontology class.
Anti-Clockwiser

Anti-Clockwiser consists of a think-tank and a listening session. It proposes to start as an open conference session focusing on the earliest and most enduring memories of ARTECH participants' use of digital media. This session will be recorded and edited into a sound piece to be presented on the conference's closing day. The artwork reflects upon the concept of dead as having the potential to reveal layers of cognitive, expressive and creative processes. A broader historical inscription of the media type is ostensibly ensured via historical records, artifact preservation and format updates; however, the related individual investments and engagements, personal narratives, and struggles and epiphanies that construct collective memory have limited acknowledgement in cultural discourses. Interviews, thus, may become the source for conceptual and philosophical interpretation, and may reveal the dynamics between evolutionary and devolutionary technological paradigms. The artwork is envisioned within the framework of the research project Anti-Amnesia: design research as an agent for narrative and material regeneration and reinvention of vanishing Portuguese manufacturing cultures and techniques.
High Performance Seed-and-Extend Algorithms for Genomics

Recent advances in DNA sequencing technology have opened new doors for scientists to use genomic data analysis in a variety of applications that directly affect human lives. However, the analysis of unprecedented volumes of sequencing data being produced represents a formidable computational challenge. The conventional CPU-only computing paradigm is not sufficient to analyze exponentially growing sequencing data in a cost-effective and timely manner. Heterogeneous computing systems with GPU and FPGA based accelerators have become easily accessible and are increasingly being used to process massive amounts of data due to their better performance-to-cost ratio than CPU-only platforms. Furthermore, highly optimized analysis algorithms are required to extract the maximum computational power of these computing systems.
The risk of losing thick description: Data management challenges Arts and Humanities face in the evolving FAIR data ecosystem

In recent years, FAIR principles have come a long way to serve the global need for generic guidelines governing data management and stewardship. Considering their wide embrace and the support received from governments, policy-makers, governing bodies and funding bodies, FAIR principles have all the potential to have a huge impact on the future landscape of knowledge creation for the better. This opportunity, however, may easily be missed if the specific dynamics of scientific production are not addressed in its disciplinary implementation plans. With the goal of making FAIR meaningful and helping to realise its promises in an arts and humanities context, this paper describes some of the defining aspects underlying the domain-specific epistemic processes that pose hidden or visible challenges in the FAIRification of knowledge creation in Arts and Humanities. By applying the FAIR data guiding principles to arts and humanities data curation workflows, we will show that contrary to their general scope and deliberately domain-independent nature, they have been implicitly designed along underlying assumptions about how knowledge creation operates and communicates. These are: 1. scholarly data or metadata is digital by nature, 2. scholarly data is always created and therefore owned by researchers, and 3. there is a wide community-level agreement on what can be considered scholarly data. The problems around such assumptions in arts and humanities are cornerstones in reconciling disciplinary traditions with the productive implementation of FAIR data management. By addressing them one by one, we aim to contribute to the better understanding of discipline-specific needs and challenges in data production, discovery and reuse. Based on these considerations, we make recommendations that may facilitate the inclusive and optimal implementation of the high-level principles that serve the flourishing of the arts and humanities disciplines rather than imposing limitations on its epistemic practices.
Psycholinguistic conditions in vocabulary acquisition

Present article examines the psycholinguistic factors that affect ease of learning foreign language vocabulary acquisition. Demonstrate the  orthographic and phonological patterns of vocabulary acquisition.
An Artificially Intelligent Wearable Device for Dementia Patients

The rate at which people contract dementia is increasing rapidly, with it afflicting 75 million patients by the year 2030. We need to develop the technology to improve the quality of life for these patients while we search for a cure. One of the most frustrating symptoms is constantly losing items in unusual places. Dementia patients are likely to spend hours searching for items daily. However, the only solution in the market is mainly ineffective, GPS trackers. They can track individual persons or items; however, they are small enough to get misplaced and can only track an object at a time. The user also has to remember how to use the device and be aware of their memory loss. This is especially difficult for patients with executive cognitive function (ECF) deficits. We propose a unique wearable device that uses object detection to track pretrained items and learn to detect new and familiar objects. We demonstrate that by linking together an SSD(Single Shot Detection) neural network with saliency detection and k-means clustering algorithm and internal positioning system, we were able to build such a device. Most importantly, the device has high precision and recall on trained items and can sufficiently distinguish between highly common objects and miscellaneous items and draw bounding boxes around the valuable data to train with later on.
Reconnaissance of ‘Difference’ in Cognitive Maps: Authenticating Happily Ever After in Julia Quinn’s To Sir Philip with Love

This study explores differences in individual cognitive mapping of the protagonists in Julia Quinn’s novel, To Sir Philip with Love. A qualitative analysis of the maps, cartographed on physiological and psychological planes, finds them to be diverse in nature. A “difference” is developed, step by step, in the mental cognitive mapping of the female protagonist of Eloise and in the physical cognitive maps of the character the male protagonist, Philip. Nonetheless, the thesis lies in the inherent creativity caused by the collision of two varied cognitions. Analysis of these cognitions involves the creation of these characters according to the basic cognitive structure of the romance readers as well. After an investigation of the ‘mindscaping’ model, developed primarily around the main characters in To Sir Philip with Love, it is concluded that the positivity in the conflicting maps is established because of the genre of the novel, in which there is a need to channel the individual cognition towards the creation of a larger cognitive map for the readers, with authentication of Happily Ever After as its goal. Furthermore, this paper also locates the status of these findings within the romance narrative; authentication of HEA, works as a major building force in molding and constructing the authorial, fictional and reader cognition.
AN ANALYSIS OF ARTIFICIAL INTELLIGENCE IN BIOMETRICS-THE NEXT LEVEL OF SECURITY

In the digital age, security is one of the primary concerns of any organization. Every organization has realized that data is a major resource. Hence, organizations deploy advanced security mechanisms to safeguard business data. However, various industry giants have with major data breaches in the past few years. These data breaches have exposed vital data of millions of customers. Therefore, businesses are constantly looking for better alternatives to traditional security models. Biometrics such as fingerprint and iris scans are being utilized for authenticating employees at the workplace and identifying smartphone owners. Such biometrics can be implemented in organizations to authorize data access for confidential data. Biometrics can be used along with traditional passwords or PIN numbers for multi-factor authentication. Additionally, the adoption of AI will help develop data-driven security protocols. Hence, clubbing AI and biometrics together will lead to the creation of dynamic security models.AI systems can minimize' human error ' events, provided they are properly programmed and can contribute to making quicker choices through cognitive techniques. It is considered to be a very effective technology as it challenges the hackers to penetrate and ensures safety among the users.
Linear and Binary Search

In the previous chapters, we looked at data structures. At this point, you have more knowledge of data structures than a lot of people I have spoken to. While you may not know them inside out, you still have enough knowledge to at least know the purpose of each major data structure and may be able to apply them to solve your problems. In this chapter, we will deviate from looking solely at data structures and look at algorithms as well.