Reviewerly/exHarmony huggingface dataset:
Intake

OpflowVolume 46, Issue 12 p. 2-2 Departments Intake First published: 04 December 2020 https://doi.org/10.1002/opfl.1464Read the full textAboutPDF 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 onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume46, Issue12December 2020Pages 2-2 RelatedInformation
تأثير الخرائط الذهنية اإللكترونية فى تدريس الفقه في تنمية التحصيل الفورى والمؤجل وعادات العقل لدى طالب المرحلة الثانوية

This study examined the effect of traditional and electronic mind maps on improving the immediate learning (immediately after learning) and delayed achievement on Alfegh course among secondary school male students and habits of mind they have.A quasi-experimental design was used for two groups (60 Students): the experimental group consisted of 30 students taught by electronic mind maps and the control group that consisted of 30 students taught by traditional mind maps.The pre-and post-design was used to compare the level of performance between the two groups.Achievement test and mind habit scale were prepared by the researches.Findings showed that mental maps (both electronic and traditional) had an effect in developing achievement and improving mind habits which was verified by the significance differences between pre-and post-achievement test and mind habits scale for each group.
Surface solar radiation trends under all-sky and clear-sky conditions over Europe

&amp;lt;p&amp;gt;Solar radiation is the primary source of energy for the climate system and a variety of biological processes on the planet. In that sense, understanding the radiative processes in the atmosphere and identifying the governing factors of these processes is key for climate diagnosis and prognosis. In this work, we use daily in-situ observations from 528 stations over Europe from the World Radiation Data Centre (WRDC) database, to analyze Surface Solar Radiation (SSR) trends from 1964 until 2018 in all regions of the continent. Statistical methods were applied to quality-control the dataset: detecting and removing outliers, homogenization and gap-filling of the time series. Two different statistical approaches for identification of clear-sky conditions were applied and compared. Observations in most of the regions on the European continent agree with previously observed negative trends (diming) until the 80&amp;amp;#8217;s, followed by positive SSR trends (brightening) from then on, continuing until recent years. However, the regime shifts and the intensity of the trends are not homogeneous within the continent, indicating that regional aspects have non-negligible impacts on the SSR behavior. The comparison between all-sky and clear-sky SSR observations helps to identify to what extent the clouds were a relevant factor in the observed trends in every part of the continent. With this type of analysis we intend to not only present the SSR trends over Europe, but also to expand the comprehension of their spatial heterogeneity across the continent, as well as their causes.&amp;lt;/p&amp;gt;
Upcoming meetings

Artificial OrgansVolume 44, Issue 11 p. 1237-1237 UPCOMING MEETINGS Upcoming meetings First published: 05 November 2020 https://doi.org/10.1111/aor.13821Read the full textAboutPDF 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, Issue11November 2020Pages 1237-1237 RelatedInformation
Petrogenesis and Element Mobility of Neoarchean Alkaline Granitic Gneisses in the Southeastern Margin of the North China Craton

The Wuhe complex (WC) in the Bengbu and neighboring areas is located at southeastern margin of the North China Craton (NCC) and belongs to the Precambrian metamorphic basement.The WC experienced the Palaeoproterozoic multistage granulite-facies metamorphism, accompanying close-to-coeval partial melting and heterogeneous carbonate metasomatism [1][2][3].To illustrate the petrogenesis of the alkaline granitic gneisses and their element mobility during high-grade metamorphism and related partial melting, the rocks at Mashan from the WC have been investigated based on petrogeochemistry and zircon U-Pb dating.The alkaline granitic gneisses in this study are considered as meta-igneous rocks, on the basis of chemical and mineralogical criteria.The gneisses are characterized by Kfeldspar + quartzs + arfvedsonite + aegirine + biotite.The rocks are distinct with high SiO2 (69.85%~74.51%)and high alkali (9.67%~12.17%).These geochemical features are similar to those from A-type granites, but have a pronounced positive anomaly of Eu, Sr and Ba.They are ascribed to multiple reworking related to felsic hydrothermal activity and carbonate metasomatism.The zircons from the rocks generally exhibit a typical core-mantle-rim texture in CL images.The igneous core domais are of oscillatory growth zoning and high Th/U ratios (0.4-1.3), and give 2.6-2.7 Ga.The positive εHf(t) values (+2.5-+6.6) of magmatic zircons suggest that these gneisses were extracted from depleted mantle, suggestive of an important crustal growth event at 2.6-2.7 Ga, and were formed in an extensional tectonic setting.The metamorphic mantles overgrew during granulite-facies metamorphism, as evidenced by calcite + rutile + K-feldspar + quartz inclusions and give ~2.5 Ga.The rims are characterized by spherical to oval and give ~1.8 Ga, indicating a late metamorphic overprinting.
International Monetary Fund – In Brief

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 56, Issue 12 p. 22835A-22835C Policy and Practice International Monetary Fund – In Brief First published: 05 February 2020 https://doi.org/10.1111/j.1467-6346.2020.09307.xRead the full textAboutPDF 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. Volume56, Issue12February 2020Pages 22835A-22835C RelatedInformation
Addition of Random Variables and Brownian Motion

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Improving the Performance of the Prediction by Machine Learning Algorithms

in the course of latest a long term, system gaining knowledge of (ML) has superior from the task of barely any laptop devotees abusing the plausibility of desktops figuring out a way to play around, and a chunk of mathematics (facts) that superb occasionally belief to be computational methodologies, to a free research area that has now not just given the essential base to measurable computational requirements of studying systems, yet moreover has created wonderful calculations which can be generally carried out for content material material translation, layout acknowledgment, and a numerous excellent commercial enterprise features or has precipitated a simply one among a type studies eagerness for data removal to differentiate wearing a veil regularities or abnormality within group facts that developing via way of next. This thesis centers round clarifying the concept and development of device learning, a portion of the mainstream device gaining knowledge of calculations and attempt to reflect onconsideration on 3 most ordinary calculations relying on a few essential thoughts. Sentiment140 dataset turn out to be utilized and execution of each estimate concerning getting ready time, expectation time and precision of forecast had been archived and analyzed.
Technologies for the Development of Competencies in Physics in General Secondary Education using Multimedia Resources

This article was written with the aim of to develop a technology for the development of physics competencies in general secondary education using multimedia resources. The following tasks are considered in the article as: studying the development of students' competence as an important pedagogical problem based on the study of pedagogical and scientific-methodical literature using multimedia resources; determination of the structure of basic and subject competencies necessary for the development of educational content and student competence, aimed at improving the teaching methodology; the inclusion of selected basic and subject competencies in the content of education and the definition of pedagogical and psychological conditions giving such an opportunity, the improvement of educational and multimedia technologies on the example of the subject of physics; improving models and methods for developing student competence based on general competency-based approaches in relation to basic and subject competencies in educational institutions; organization of lessons with the help of multimedia resources aimed at developing students' competence on the basis of a competency-based approach, and preparing recommendations for their implementation in the educational process.
Developers' views on the adoption and benefits of software process improvement programs in Canadian software development firms

For decades software developers have struggled in their attempts to deliver high quality software products. Against this background, software process improvement (SPI) programs are viewed as one of the solutions to overcome the problem of delivering low quality software products. This study utilised a two-phase approach to ascertain the state of SPI adoption and the determinants of information systems (IS) quality and success in Canadian software development firms. The study found a moderate adoption rate of SPI programs and it was felt that user training and technical support could positively impact the success of information systems projects. Based on these arguments a proposed research model was presented with the hope of it being validated in future studies.
Online Contest “Mathematics and Art” for the Development of Key Competencies

The online contest “Mathematics and Art” is organized by Tonediko since 2015. Participation in it creates the opportunity to develop almost all key competences. In addition, the competition is a means of promoting digital mathematical tools to a wide audience. In the paper, in the context of the research of the ability to use the provided dynamic files (directly or after modification), to create a composition on a given topic, the following will be presented: the competition regulation; main activities of the participants; opportunities to use the competition in IT lessons, fine arts, labor and equipment, mathematics and related teacher activities; results of passed competitions, some challenges and options to overcome them.
Mental Representation

This chapter focuses on the neural substrate of mental representation and cognitive maps. In 1948, American psychologist Edward Chance Tolman postulated that spatial learning requires a representation of the environment in which a subject evolves. This concept has been popularized under the term ‘cognitive map’. These maps would retain information about the spatial relationships between different places, which supposes the existence of a coordinate system, or referential. The chapter then considers the role of the hippocampus in memory processes. According to psychologists, there are two types of memory: declarative and procedural. Procedural memory describes the ability to reproduce learned behaviour. On the other hand, declarative memory is based on very different processes. Whatever form it takes, it undoubtedly requires the construction of a mental representation. This mental representation is likened to the cognitive maps theorized by Tolman.
Detection of Renal carcinoma in Ultrasound Images using HOG and SURF features

Cancer can be defined as the abnormal growth of cells in any region of the human. Cancer cells possess a special property called metastasis that involves the movement of cells from one location to another location. Renal cancer is becoming predominant and there are different types. One among them is Renal cell carcinoma mainly occurs in the renal tubules. In this study, ultrasound images are considered for the detection of renal cell carcinoma. The images undergo pre-processing to remove speckle noises. The region of interest is defined using region growing technique. Later Feature descriptors like histogram of oriented gradient features and speeded up robust features are extracted from the segmented region for the analysis of carcinoma. Texture features are also derived along with these descriptors. These features are classified using Adaptive Support Vector Machine for the diagnosis of the renal cell carcinoma from normal images. With the performance of the classifier, it is defined that feature descriptors illustrate the region of carcinoma more effectively.
Global Refugee Forum Banks Pledge to Step Up Support

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 56, Issue 12 p. 22817A-22817A Continental Developments Global Refugee Forum Banks Pledge to Step Up Support First published: 05 February 2020 https://doi.org/10.1111/j.1467-6346.2020.09279.xRead the full textAboutPDF 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. Volume56, Issue12February 2020Pages 22817A-22817A RelatedInformation
Data Breach in Businesses: Source, Issues, Prevention, and Prospective Directions

The intentional or unintentional presentation to illegal or third parties of private information is an infringement or an information break. In the advanced era, data is most essential segments of a venture. Data leakage posesdeliberaterisk to companies, that includes significant reputation harm and budgetary bereavement. Due to constantly increasing information availability and recurrent privacy violations, perceiving and counteracting data loss has ended up being the most depressing security worries for endeavors.The ultimate goal is to know the consequences and even more significantly the safety vulnerabilities and constraints of different counteractive action and recognition arrangements. Regardless of a plenty of research endeavors on fragile information from being leaked, it stays a working exploration issue. A document on the risks of company data leakage, most recent data leak occurrences, different cutting edge prevention and identification procedures, new challenges, andsolutions with exciting opportunities.
Bartlett S Function; Estimating Likelihood Ratios Needed for an Experiment

We examine in this chapter some miscellaneous tools. If our distribution function is very far from a normal distribution, estimates can be biased, and also it is sometimes hard to interpret the non-gaussian errors that result. The Jacknife is a method to reduce the bias of an estimate. The use of the Bartlett S function is a technique to introduce new variables to make the distribution function closer to normal. The second topic treated in this chapter is of use when we are setting up an experiment. It is often crucial to estimate how long the experiment will take, how many events will be required to get the desired result. The second part of this chapter discusses how to estimate in advance of the experiment the number of events required.
A Neuro Based Level Irregularity to Efﬁcient Acknowledgment of Variations in Online Social Networks

Use of casual association is the principal handiness of the present life. With the happening to a regularly expanding number of online electronic life, the information open and its use have gone under the danger of a couple of irregularities. Variations from the norm are the huge purpose behind online fakes which license information access by unapproved customers similarly as information delivering. One of the variations from the norm that go about as a tranquil attacker is the level eccentricity. These are the anomalies realized by a customer because of his/her variable direct towards different sources. Level inconsistencies are difficult to recognize and risky for any framework. In this paper, a self-recovering neuro-soft philosophy (NHAD) is used for the disclosure, recovery, and removal of level irregularities efficiently and unequivocally. The proposed philosophy works over the five models, specifically, missing associations, reputation gain, significant refinement, trust properties, and trust score. The proposed approach is evaluated with three datasets: DARPA'98 benchmark dataset, designed dataset and consistent traffic. Results show that the precision of the proposed NHAD show for 10% to 30% idiosyncrasies in made dataset goes some place in the scope of 98.08% and 99.88%. The evaluation over DARPA'98 dataset demonstrates that the proposed procedure is better than anything the present courses of action as it gives 99.97% recognizable proof rate to odd class. For ceaseless traffic, the proposed NHAD exhibit works with an ordinary accuracy of 99.42% at 99.90% recognizable proof rate.
Problematic Observations using Firefly Algorithm and its Variants

Real world problems can be analyzed and solved effectively and efficiently by observing the environment and its phenomenon. We can analyze the nature of the problem by looking for a solution in the environment. The evolution of such systematic handling of the problematic scenario to find an amicable and efficient solution can be applied to real world physical problems. Thus the application of procedures (algorithms) by different species has evolved into a novel idea referred as Nature Inspired Algorithms. It has gained wider publicity and popularity in the present research. One of the most popular nature inspired algorithm which has grabbed the attention of the world is Firefly Algorithm (FA).The Firefly Algorithm has a wide range of applicability in different disciplines. We tried to compare this algorithm along with its variants. We also throw some light on various characteristics of the Firefly Algorithm that makes it a far more efficient algorithm when compared to the rest of such similar algorithms.
Long Short-Term Memory (LSTM) to Predict the Viewability of any Page Depth for any Given Dwell Time

In online distributers had a one major income source that is displaying advertising through online. In existing techniques recommender systems are depending upon the user’s interests. Recent studies show that the ads were really not seen by user’s means they don't scroll sufficiently profound to get the advertisements see. For this reason a new model was discovered for advertisements are paid on the off chance that they are in view, not minimally being served. A critical issue for distributers be near expect the chance to an advertisement on a agreed sheet intensity motivation live appeared resting on a client's monitor intended for a convinced live instance. This manuscript suggests Long Short-Term Memory (LSTM) near forecast the perceptibility of every sheet intensity intended for every agreed abide moment. It is a arrangement of bi-directional LSTM networks, encoder decoder structures &amp; outstanding associations. The consequences shows that the high performance in terms of prediction.
A Novel Data-Driven Methodology for Influenza Outbreak Detection and Prediction

Influenza is an infectious disease that leads to an estimated 5 million severe illness cases and 650,000 respiratory deaths worldwide each year. Early detection and prediction of influenza outbreaks are crucial to efficient resource planning to save patients' lives and healthcare costs. This paper proposes a novel data-driven methodology for influenza outbreaks detection and prediction. The doctor's diagnosis-based prescription dataset of Influenza-Like Illness (ILI) from more than 3,000 clinics in Malaysia is used in this study because the prescription data are reliable and can be captured timely. A new Region Index (RI) of the influenza outbreak is proposed based on the prescription dataset. With the newly proposed RI metric, statistical and machine learning models are developed to detect and predict influenza outbreaks. Cross-validation is conducted to evaluate the prediction model performance. The proposed methods are also validated by real-world evidence. It is proved to be sensitive and accurate in influenza outbreak prediction with 80-90% accuracy, 70-80% recall, and 70-80% precision scores.
Exploratory Learning of Resource Management in Private Cloud Environment

Paper: Scientific and Web applications are major sources of Internet traffic that requires resources such as Memory ,CPU and Network are on demand. Cloud computing and virtualization are the boons for such resource demand applications from various users. Service models of cloud computing provide a platform for many applications to use resources as pay per use model. In Cloud, Auto-scaling with manage Service Level Agreement (SLA) of resources is one of the main challenges to meet the current demand for resources. To maintain the performance of the cloud, which provision resources based on a heuristic for workload prediction is prime importance. In this paper, we address auto-scaling as a problem to forecast near-future demand of resource using a KNN machine learning methods suggest the optimized model for the dynamic variation of CPU utilization.
Discussion on the Reform of Comprehensive Practice Evaluation Model for Physical Geography Courses in Chinese Universities

In this paper, the comprehensive practice evaluation system for physical geography courses is reformed for its shortage as the goal of teacher certification and course target evaluation. We put forward a set of evaluation model of process performance evaluation including 11 participating indicators from usual grades, practice reports and teaching skills, which comprehensively considers students’ multifaceted literacy and ability. This model not only evaluates the practice content, results and knowledge mastery but also evaluates the practice process, ability training and knowledge application transfer and transformation. It strengthens the subjectivity and participation of students and can better support the course goals and graduation requirements.