Reviewerly/exHarmony huggingface dataset:
Load Balancing in Cloud Computing using Modified Throtled Algorithm

In the coming age of computing world, cloud computing plays an important role. Cloud computing gives assets to customer on interest. The assets might be programming assets or equipment assets. Cloud computing structures are circulated, parallel and serve the requirements of various customers in various situations. This appropriated design conveys assets cloud to convey benefits productively to clients in various topographical channels. Customers in a circulated domain produce ask for haphazardly in any processor. So the real downside of this haphazardness is related with errand task. The unequal undertaking task to the processor makes imbalance i.e., a portion in the processors work a lot and some of them stay idle. To exchange the load from over- burden procedure to under stacked procedure straightforwardly is the goal of load balancing. Out of many issues involving in distributed computing, load balancing is one of the focal issue. To accomplish superior, least reaction time and high asset use proportion we have to exchange the assignments between hubs in cloud arrange. Load balancing strategy is utilized to appropriate errands from over stacked hubs to under stacked or inert hubs. In following areas we talk about cloud computing, load balancing strategies.
Supplemental Material: Periodic dike intrusions at K&amp;#299lauea volcano, Hawaiʻi

Supplemental information on regional terminology, methods, models, and analysis. The Hawaiian Volcano Observatory earthquake catalog can be downloaded from: https://www.usgs.gov/observatories/hawaiian-volcano-observatory/earthquakes/.&lt;br&gt;
Inferring Graph Signal Translations as Invariant Transformations for Classification Tasks

The field of Graph Signal Processing (GSP) has proposed tools to generalize harmonic analysis to complex domains represented through graphs. Among these tools are translations, which are required to define many others. Most works propose to define translations using solely the graph structure (i.e. edges). Such a problem is ill-posed in general as a graph conveys information about neighborhood but not about directions. In this paper, we propose to infer translations as edge-constrained operations that make a supervised classification problem invariant using a deep learning framework. As such, our methodology uses both the graph structure and labeled signals to infer translations. We perform experiments with regular 2D images and abstract hyperlink networks to show the effectiveness of the proposed methodology in inferring meaningful translations for signals supported on graphs.
Supplemental Material: Halogens in hydrothermal sphalerite record origin of ore-forming fluids

Appendices S1 (detailed methods and summary of analytical results), S2 (full EPMA dataset), S3 (full LA-ICP-MS dataset), and S4 (fluid database used for Figure 3).&lt;br&gt;
Objectivity and Practice of Peripheral Blood Smear Examination for Childhood Anemia Diagnosis in Benghazi Children Hospital /Libya

Introduction: Anemia is a common disease in children. Peripheral Blood Smear (PBS) require effort and human resource. In this study, we will evaluate objectivity of PBS ordering practice in Benghazi Children Hospital/Libya. Method: A retrospective study of PBS reports of 318 child in 2015 was conducted. Data collected include cause of PBS request, along with other relevant demographic, clinical and laboratory details. Kappa statistic was used for analyzing degree of agreement of results between PBS and Complete Blood Count (CBC) in anemia diagnosis. Results: Our study showed that Hematologists and 88.7% by general pediatricians requested only 6.9% of PBS. Anemia was main cause of request in 36.2%. Only 33.7 % of OPD cases referred with suspect of anemia were revealed to be anemic upon PBS examination and 45.4 % referred with no suspect of anemia were revealed to be anemic upon examination in total study population, but not in Neonate. In 65.1%, there was an agreement between diagnosis of anemia by CBC and PBS. There was accordance of 76.6% between exclusion of anemia by CBC and PBS. Hypochromic microcytic anemia was diagnosed in 93 cases (29.2%), macrocytic anemia was diagnosed in 5%, and 65.7% were not anemic. Conclusions: PBS examination is none objectively ordered and over utilized by Pediatricians in outpatient settings and for routine practice with less yield. Establishing laboratory guidelines for improving utility of PBS, careful and complete justified requests, discussion with laboratory staff, and continuous auditing practice are noticeable needs in the Benghazi Children Hospital.
Inductive Reasoning

The Oxford English Dictionary defines induction as “the process of inferring a general law or principle from the observations of particular instances.” This defines precisely what we would like to call inductive inference. On the other hand, we regard inductive reasoning as a more general concept than inductive inference, as a process of reassigning a probability (or credibility) to a law or proposition from the observation of particular instances.
Analysis of Long-Term Solar Resource Variability Using NSRDB Version 3

&amp;lt;p&amp;gt;Understanding long-term solar resource variability is essential for planning and deployment of solar energy systems. These variabilities occur due to deterministic effects such as sun cycle and nondeterministic such as complex weather patterns. The NREL&amp;amp;#8217;s National Solar Radiation Database (NSRDB) provides long term solar resource data covering 1998- 2019 containing more than 2 million pixels over the Americas and gets updated on an annual basis. This dataset is satellite-based and uses a two-step physical model for it&amp;amp;#8217;s development. In the first step we retrieve cloud properties such as cloud mask, cloud type, cloud optical depth and effective radius. The second step uses a fast radiative transfer model to compute solar radiation. &amp;amp;#160;This dataset is ideal for studying solar resource variability. For this study, NSRDB version 3 which contains data from 1998-2017 on a half hourly and 4x4 km temporal and spatial resolution was used. The study analyzed the spatial and temporal trend of solar resource of global horizontal irradiance (GHI) and direct normal irradiance (DNI) using long-term 20-years NSRDB data. The coefficient of variation (COV) was used to analyze the spatio-temporal interannual and seasonal variabilities. The spatial variability was analyzed by comparing the center pixel to neighboring pixels. The spatial variability result showed higher COV as the number of neighboring pixels increased. Similarly, the temporal variability for the NSRDB domain ranges on average from &amp;amp;#177;10% for GHI and &amp;amp;#177;20% for DNI. Furthermore, the long-term variabilities were also analyzed using the K&amp;amp;#246;ppen-Geiger climate classification. This assisted in the interpretation of the result by reducing the originally large number of pixels into a smaller number of groups. This presentation will provided a unique look at long-term spatial and temporal variability of solar radiation using high-resolution satellite-based datasets.&amp;lt;/p&amp;gt;
Information Educational Environment of the Modern Buryat School

The education system faces a new task of preparing the younger generation for life in a highly developed information environment. The information educational environment helps students form information competence, teaches them to rank, highlight the bottom line, find connections and structure information. Informatization of the modern Buryat school assigns new tasks for the Buryat teachers in mastering computer technologies. The research carried out helped to identify the needs of all subjects of the educational process. Identifying the needs of all subjects of the educational process, conducting an analysis of all the pedagogical conditions for implementing a high-quality educational process, led to the conclusion on the necessity to arrange an information educational environment in the modern Buryat school. The information educational environment of the modern Buryat school includes multimedia, computer programs, databases, various forms of information interaction both inside and outside the organization, object-oriented programming competence of the participants of the educational process, as well as the implementation of the educational process in the electronic form, as the results of the mastering of the object-oriented programming, training materials, recording of the educational process. A model of the information educational environment, the implementation of which contributes to a more effective organization of the educational process in the modern Buryat school and the activities of each of its participants has been developed.
Mississippi Coding Academies: A Nontraditional Approach to Computing Education

she is co-founder and co-director of the Bulldog Bytes program at MSU that engages K-12 students with computing and provides trans-disciplinary professional development to K-12 teachers in computer science and cybersecurity
Pengaruh Metode Pemberian Tugas (Take Home) Terhadap Minat Belajar Anak Kelompok B Di Tk Dharma Wanita Gedangan Mojokerto

One of the external factors that affect the child's interest in learning is the assignment of homework or homework.According to Muijs, et al (2008: 150) "Homework can be defined as an out-of-class activity that is an extension of classroom work".The purpose of this study to determine the effect of methods of assignment to the interests of learning children.To answer the above problems, researchers conducted a quantitative descriptive study.This research was conducted in Group B TK Dharmawanita Gedangan Mojokerto academic year 2016/2017.Subjects in the study amounted to 20 children.Technique of data collection is done through observation, interview and documentation.Observations before the recapitulation treatment were obtained on average, ie 0% of children in the Very High (ST) category, 3.33% of children in the High (T) category, 13.33% of children in Medium (S) category, and 83.33% of children in the Low category (R), on the observation aspect of child's interest, Child's attention in learning and child involvement.Observations after treatment were obtained an average of 35.28% of children belonging to the category Very High (ST), Next to the category High (T) obtained an average of 17.61%.In the Medium category (S), the mean is 20.28%, and for the Low category (R), the average is 26.83%, the observation aspect of the child's interest, the child's attention in learning and the involvement of the child.
Implementation Of Logic Fault Detection Techniques Using Fpga 1232 Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) © Copyright: All rights reserved. Retrieval Number: F12110986S319/2019©BEIESP DOI:10.35940/ijeat.F1211.0986S319 Journal Website: www.ijeat.org Fig. 1. Block diagram of Simple Memory System III. LOGIC FAULT DETECTION TECHNIQUES A. Normal Majority Logic (ML) Decoder The fault present in the input can be corrected by ML decoder, a simple and …

The evolution of automation concept in industries and rising significance for digital mode of communication have in turn stresses the need for reliable, efficient and high performance digital system. One of the major problems faced in the digital transmission is the loss of data and hence an effective technique to detect and correct these faults is necessary. Conventionally, various techniques are used for this purpose. Among them, three of the techniques like Plain Majority Logic (ML) Decoder, Syndrome Fault Detector and Plain ML Detector Decoder (MLDD) are analyzed and compared in this paper. The purpose of this comparison is to identify the most suitable methodology based on its capability to track maximum number of faults in minimum number of cycles, with reduced memory read access time. All these logics are simulated using HDL code and analysis is done to implement it in FPGA. The results reveal that Plain MLDD is found to provide better solution for various digital circuits than other techniques.
Semantic Similarity Based Automatic Document Summarization Method

Document summarization is the process of generating the summary of the documents gathered from the web sources. It reduces the burden of web readers by reducing the necessity of reading the entire document contents by generating the short summary. In our previous research work this is performed by introducing the method namely Noun weight based Automated Multi-Document Summarization method (NW-AMDSM). However the previous research work doesn’t concentrate on the semantic similarity which might reduce the accuracy of the summarization outcome. This is resolved in the proposed research method by introducing the method namely Semantic Similarity based Automatic Document Summarization Method (SS-ADSM). In this research work, multi document grouping is done is based on semantic similarity computation, thus the document with similar contents can be grouped more accurately. Here the semantic similarity computation is performed with the help of word net analyzer. The document grouping is done by introducing the modified FCM clustering algorithm. Finally hybrid neuro fuzzy genetic algorithm is introduced to perform the automatic summarization. The numerical analysis of the proposed research method is conducted in the matlab simulation environment and compared with other research methods in terms various performance metrics. The simulation analysis proved proposed method tends to have better performance in terms of increased accuracy of document summarization outcome.
East Meets West: The Japan Association of National University Libraries (JANUL) and the University of Central Florida (UCF) Exchange Librarians and Learning Commons Information

Is your library contemplating an international librarian exchange?Such exchanges not only increase participants' understanding of other cultures, they also challenge participants to look at their own cultures from a new perspective.Two academic librarians, Yuka Taniguchi from Kobe University 1 (Japan) and Barbara Tierney from the University of Central Florida 2 discuss their visits to each other's libraries in 2016-2017 to share information about their respective learning commons and outreach programs.This article focuses on the lessons learned for each librarian and practical tips on how to accomplish a successful academic library foreign exchange.
A Semantic Text Summarization Method using ontology based Knowledge

Data mining is a method which finds useful patterns from large amount of data. As vast amounts of information are created quickly, effective information access becomes an important matter. Particularly for important domains, such as health check and monetary areas, well-organized recovery of succinct and related information is highly desired. In this paper we propose a new user query based text summarization technique that makes use of WordNet, a common information source from Princeton University. Our summarization structure is expressly tuned to recapitulate health care documents.
ESSENCE, STRUCTURE AND STAGES OF PROFESSIONAL TRAINING OF FUTURE SPECIALISTS IN THE FIELD OF PHILOLOGY

logue teaching at primary school or improving general teacher training system.Originality.The article is based on the author's empirical research of the primary school teachers' readiness to organize dialogue teaching.The subject of the study was understanding the essence of "dialogue teaching", its importance and role in the content of elementary education, as well as difficulties while organizing a training dialogue by teachers-practitioners because of lack of educational and methodological support, the gap between theoretical knowledge and the realities of school practice, etc.Conclusion.Most teachers understand the relevance of the problem of organizing the dialogic learning of students, but they have difficulty in using the methods of interactive interaction in practice.Preparing primary school teachers to organize dialogs education in the educational environment of the New Ukrainian primary school is a holistic vocational training system that includes: educational goals, objectives, contents, methods, techniques, tools and forms of organization in the process of interactive teaching, assessment of educational achievements of children in educational and cognitive activities, etc.
IAG Membership Information

Geostandards and Geoanalytical ResearchVolume 44, Issue 1 p. 215-215 IAG Membership InformationFree Access IAG Membership Information First published: 06 March 2020 https://doi.org/10.1111/ggr.12271AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume44, Issue1March 2020Pages 215-215 RelatedInformation
Multi Variant Feature Similarity Based Behavior Tracking in Video Surveillance using Ann

The problem of video surveillance has been well studied which has been adapted for several issues. The behavior of any human can be monitored through video surveillance. There are number of approaches available for the video surveillance and behavior analysis. The previous methods uses background models, object tracking for the problem of behavior analysis. The methods suffer with poor accuracy in behavior analysis. To improve the performance, a multi variant feature similarity model based behavior tracking in video surveillance is presented. The method involves in identifying interest points throughout the images of video. Second, the changing feature has been identified to measure the multi variant feature similarity by using multi variant feature model. Based on the MVFS, the object tracking is performed. The human tracking is performed in the same way and the multi variant features are trained with artificial neural network which has number of behavior classes. At the testing phase, the video has been removed with background features according to the multi feature model adapted. Once the object has been identified, then tracking and behavior analysis is performed by measuring MVFS with the features at different behavior classes. The artificial neural network has been used for the classification of behavior identified through video surveillance. The method would produce higher accuracy and improves the performance.
A Research Optimization of CMOS Analog Circuits using Modified Particle Swarm Algorithm

In this paper for proficiently dealing with three of the most generally utilized fundamental circuits, for example complementaryl metal-oxide semiconductor (CMOS) operational enhancer circuits A Metaheuristic search Algorithm called Modified Particle swarm Algorithm (MPSO) is appeared as a mechanical get-together. The MPSO estimation begins the framework by making some principal enthusiastic happy plans and using condition based for precariousness of these methodologies towards and outwards the best methodology. Promptly, the transistor estimations of the above-said circuits are refreshed utilizing MPSO to improve the structure focal motivations behind the circuit by rapidly lessening the district required by the transistors in a circuit utilizing MATLAB. By then the parameters are gotten are approved utilizing CADENCE. Here three operational intensifiers are anticipated model Two-plan operational intensifier, Folded course operational speaker and Telescopic operational enhancer. Ideally organizing clear circuits, the extension results and mix plots exhibit the consistency of adjusted molecule swarm improvement estimation over obtained figuring and molecule swarm algorithm
Securing E-health Data using Ciphertext-Policy Attribute-Based Encryption with Dynamic User Revocation

E-health systems hold a massive amount of medical data that is stored and shared across healthcare service providers to deliver health facilities. However, security and privacy worries increase when sharing this data over distributed settings. As a result, Cryptography techniques have been considered to secure e-health data from unauthorized access. The Ciphertext Policy Attribute-Based Encryption (CP-ABE) is commonly utilized in such a setting, which provides role-based and fine-grained access control over encrypted data. The CP-ABE suffers from the problem of user revocation where the entire policy must be changed even when only one user is revoked or removed from the policy. In this paper, we proposed a CP-ABE based access control model to support user revocation efficiently. Specifically, the proposed model associates a unique identifier to each user. This identifier is added to the policy attributes and removed dynamically when the user is added/revoked. A tree structure (PolicyPathTree) is designed specifically for our model. It can facilitate fast access to policy's attributes during the verification process; The model is analyzed using Information Theory Tools. Results show that our model outperforms other notable work in terms of computational overheads.,
Click::RAND#2. An Indeterminate Sound Sculpture

Can random digit data be transformed and utilized as a sound installation that provides a referential connection between a book and the electromechanical computer?What happens when the text of A Million Random Digits with 100,000 Normal Deviates is 'vocalized' by an electro-mechanical object?Using a media archaeological research approach, Click::RAND # 2, an indeterminate sound sculpture utilising relays as sound objects, is an audio-visual reinterpretation and representation of an historical relationship between a book of random digits and the electromechanical relay.
http://habibiaislamicus.com/index.php/hirj/article/view/180

This study probes the relationship between Iqbal’s concept of khudi and experiential learning during early childhood. This qualitative and exploratory study employs Colaizzi’s method for content analysis to extract hermeneutical interpretations and exegetically decipher the allegorical connotations from Iqbal’s Persian anthology of poems, Asrar-i-Khudi. The thematic deduction draws Iqbal’s ideas of the development of khudi in an environment of experiential learning. Iqbal’s ideas have also been extracted from his other works. Historical and contemporary literature related to child learning psychology and education is also reviewed. The study concludes that the creative and curious mind of every child continuously develops hypotheses and tests them through experiences. The main aim of education is the realization of a strong ‘Khudi’ through experiential learning to create self-awareness, and self-realization to unleash an individual’s potentials. It is recommended that early childhood education in Pakistan ensures individuality development through experiential learning by applying Iqbal’s educational thoughts. It is also recommended that further research is undertaken to explore the functional aspects of Iqbal’s concept of experiential learning approach to bring the desired change in the early childhood education system.