Reviewerly/exHarmony huggingface dataset:
Lasker Clinical Research Scholars Program (NIH)

Federal Grants & ContractsVolume 44, Issue 11 p. 8-8 Grant Alerts Lasker Clinical Research Scholars Program (NIH) First published: 04 May 2020 https://doi.org/10.1002/fgc.31067Read 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. Volume44, Issue117 May 2020Pages 8-8 RelatedInformation
Guiding iterative optimisation methods to a predefined kind of optima for unconstrained optimisation problems

One of the most fundamental issues in the field of mathematical optimisation is the convergence of an iterative optimisation method and by this we are referring to two things. First, will the method find an optimum and second, will this optimum be a local one or a global one? A recently proposed technique (Nikolakakou et al., 2015b) that is used in order to lessen the dependence a locally convergent iterative optimisation method has on the initial guess, is exploited in this paper. A way so that such a method may be guided to a predefined kind of minimum (local or global) is presented. Well known test functions were used for experimentation. Statistical analysis was conducted by applying a logistic regression classification model on data arisen from the numerical results which confirmed that iterative optimisation methods can be guided to a predefined kind of optimum.
Designing for Quality: Distance Education Rubrics for Online MSW Programs

There has been a rapid increase in the number of online MSW programs in the past decade without a commensurate body of literature on their administration. This article acquaints MSW program faculty and administrators with quality assurance rubrics, which are research-informed tools intended for use by distance education providers to develop, support and manage high quality online courses and programs. Graduate programs that are in the process of considering or actually designing an online delivery option, as well as those that are currently implementing online programs, may benefit from the use of such quality assurance rubrics.
Formatted Strings

Previously, we have used the printf() method to create and output strings using formatters. Sometimes, you want to simply store the formatted string and not display it using a String variable.
مستوى التفاؤل المتعلم وعلاقته بدافعية الانجاز لدى طلبة جامعة أبو ظبي

The current study aimed at investigating the level of learned optimism and its relationship to achievement motivation among Abu Dhabi University students, United Arab Emirates.The study sample consisted of 189 male and 166 female students from Abu Dhabi University.The results of the study indicated that the average response of the sample on the learner optimism scale was moderate.The average response of the sample on the motivation scale for achievement was also moderate.The results of the study indicated that there is a positive correlation between the areas of learner's optimism and achievement motivation .In addition, there were statistically significant differences in the response average on the level of learner's optimism and motivation for achievement according to academic achievement.High-achieving students were more optimistic and more motivated while low-achieving students were less optimistic and less motivated.
Big Data Processing for Power Grid Event Detection

In this paper we present the application of big data processing for the development of machine learning(ML) models to detect relevant events in power gridoperations. This is based on almost 20TB of phasormeasurement unit data corresponding to up to two years of operation of three grid interconnections which provide power to most of the United States. A significant aspect of the work consists in having all data processing performed on a single standard GPU server, from pre-processing to ML model training and testing. We describe the data and computational infrastructure, challenges faced and methods used in dataprocessing, main findings and results. The ML approach employed for best utilization of the big data is also discussed, including sample results.
SUPERVISION METHOD IN TRAINING A SPECIALIST OR THE ROLE OF METHODICAL COOPERATION (on the example of foreign language and literature specialty)

The article discusses the usage of supervision methods in training the English language experts. Supervision is one of the general training methods, which means collaboration between two experts who can privately describe and analyze the work with a specialist. Its aim is to assist the specialist to respond to client’s needs. Methods of teaching a foreign language include the study of the method of supervision, the analysis of the concept, purpose, types and functions of supervision, the study of the supervision’s degree, analysis of the forms, methods and means of learning English during observation, as well as the recommendations on individual, group and team participation in forms of supervision. There are the following types of supervision, such as individual, collective, informal and insufficient. It also provides guidance on how to use forms, methods, and tools for learning English at the supervision level.
Real-Time classification of various types of falls and activities of daily livings based on CNN LSTM network

In this research, two multiclass models have been developed and implemented, namely, a standard long-shortterm memory (LSTM) model and a Convolutional neural network (CNN) combined with LSTM (CNN-LSTM) model.Both models operate on raw acceleration data stored in the Sisfall public dataset.These models have been trained using the TensorFlow framework to classify and recognize among ten different events: five separate falls and five activities of daily livings (ADLs).An accuracy of more than 96% has been reached in the first 200 epochs of the training process.Furthermore, a real-time prototype for recognizing falls and ADLs has been implemented and developed using the TensorFlow lite framework and Raspberry PI, which resulted in an acceptable performance.
Correction to: HumanSense: a framework for collective human activity identification using heterogeneous sensor grid in multi-inhabitant smart environments

The actual Fig. 13 has been missing and in place of Fig. 13, Fig. 14 has been shown.
Online enforcement

To conclude part 4 which has covered enforcing your rights, this chapter focuses on copyright enforcement online. First it will discuss the issue of online copyright infringement, then it will cover notice and take down procedures and blocking injunctions.
Completing the Web Service

In Chapter 5 , I created the web service and added support for handling HTTP GET requests. In this chapter, I complete the implementation by adding support for the POST, PUT, PATCH, and DELETE methods, which allows the client to create, update, and delete data.
Comparative study of classification approaches for e-mail analysis

Illicit messages like threatening and abusive messages affect emotions and psychology of a person. Such messages start exerting influence on mental status, and ultimately physical condition of a person. E-mails are one of the popularly used sources, for communicating personal and official messages. Typically, sentiment analysis of these e-mails includes classifying them into positive, negative and neutral messages. Identifying the sentiments of e-mails using an efficient and effective algorithm is very important and useful step in the domain of e-mail forensics. In this work, support vector machine, k-nearest neighbour, and neural network back-propagation algorithms are used to classify the sentiments of e-mail into positive, negative and neutral categories using self-curated e-mail dataset. This dataset is a combination of Enron's e-mail dataset and publicly available messages converted into e-mails. This paper presents a comparative study of classification approaches for e-mail analysis. Finally, it is concluded that the neural network with the back-propagation training algorithm provides the best results considering the accuracy and the memory requirements with the little compromise on the time required to recognise the sentiment of a given e-mail.
Quantum random number generation based on spontaneous Raman scattering in standard single-mode fiber

We investigate a quantum random number generation (QRNG) based on backward spontaneous Raman scattering (SpRS) in standard single-mode fiber, where the randomness of photon wavelength superposition and arrival time are simultaneously utilized. The experiment uses four avalanche photodiodes working in gated Geiger mode to detect backward Raman scattering photons from four different wavelength channels and a time-to-digital converter placed behind the detectors to record their arrival time.
Glückliche Reise

Following Forest Hills High School in New York City, I attended Cornell University for a five-year program leading to a Bachelor of Chemical Engineering degree. After spending one year at the University of Rochester to obtain a Master of Science in Chemical Engineering, I came to Princeton University in 1951. Four years later, with a fresh PhD, I joined the faculty at the University of California, Berkeley, where I remained, interrupted only by sabbatical leaves in Switzerland, Germany, England, New Zealand, and Australia. Most of my professional work has been in applied chemical thermodynamics for process design, in particular, development of molecular-thermodynamic models for calculating phase equilibria for large-scale separation operations. I have also worked on the properties of electrolytes and hydrates, critical phenomena in fluid mixtures, properties of polymers and gels, adsorption of fluid mixtures, and separation of biomolecules. For many years I was a consultant for Air Projects and Chemicals and for the Fluor Corporation. Throughout my long teaching career, I have stressed the importance of context and of integrating science and engineering with humanities and with the needs of society. Such integration makes better engineers and contributes to personal happiness.
Transportprotokolle TCP, UDP und SCTP

No AccessTechnik der IP-NetzeMar 2019Transportprotokolle TCP, UDP und SCTPAnatol Badach, Erwin HoffmannAnatol BadachSearch for more papers by this author, Erwin HoffmannSearch for more papers by this authorhttps://doi.org/10.3139/9783446455115.004SectionsAboutPDF ToolsAdd to FavoritesDownload CitationTrack CitationsCopy LTI LinkPDF key 'share (en)' returned an object instead of string.FacebookTwitterEmailLinkedIn previous chapternext chapter FiguresReferencesRelatedDetails 2019Pages: 175-230Print ISBN: 978-3-446-46210-6eISBN: 978-3-446-45511-5 Copyright & Permissions© 2019 Carl Hanser Verlag GmbH & Co. KGPDF downloadLoading ...
PENGARUH SISTEM INFORMASI AKUNTANSI TERHADAP KINERJA PEGAWAI

This study aims to test and analyze influence the use of information systems accounting, quality of information systems accounting security system accounting information and supporting facilities information systems accounting on performance employees of PT.KMA Solo. Analysis of the data used was classic test the assumption consisting of normality test, multikolinearitas test, as well as test heteroskedastisitas autokorelasi. An analysis of the data used was classic test the assumption consisting of normality test, multikolinearitas test, as well as test heteroskedastisitas autokorelasi.uji test a hypothesis that is used is linear regression analysis worship of idols, partial test (t) test, as well as a test of the coefficients determinan (R2). Based on the results of data analysis prove that; the utilization of accounting information system have positive and significant of the performance of employees of PT .KMA Solo; the quality of information system accounting have positive and significant of the performance of employees of PT .KMA Solo; security accounting information system influential positive and significant on performance employees of PT.KMA Solo; means of support information systems accounting influential positive and significant on performance employees of PT.KMA Solo.Test R2 shows that variable the use of accounting information system, the quality of information systems accounting, the security system information accounting and means of support information system can explain on variables the employee performance the remaining influenced by other variables that are not using in the study.Keyword : Use Of Accounting Information System, Quality Of Information Systems Accounting, Security Accounting Information System, Supporting Facilities Accounting Information System, Job Performance
Amazon-Marketplace: No Trade Mark Infringement Due to Storage of Infringing Goods on Behalf of Third Parties When There Is No Knowledge of the Unauthorized Use

Amazon-Marketplace: No Trade Mark Infringement Due to Storage of Infringing Goods on Behalf of Third Parties When There Is No Knowledge of the Unauthorized Use GRUR International, Volume 69, Issue 7, July 2020, Page 755, https://doi.org/10.1093/grurint/ikaa077 Published: 29 June 2020
Stability of digital control systems

Stability is a basic requirement for digital and analog control systems. Digital control is based on samples and is updated every sampling period, and there is a possibility that the system will become unstable between updates. This obviously makes stability analysis different in the digital case. We examine different definitions and tests of the stability of linear time-invariant digital systems based on transfer function models. In particular, we consider input–output stability and internal stability. We provide several tests for stability: the Routh–Hurwitz criterion, the Jury criterion, and the Nyquist criterion. We also define the gain margin and phase margin for digital systems.
Substitute Geometry of Multidimensional Features

Synthesis of the substitute feature (SF) is shown in the previous chapter to be a necessary step in building the tolerance zone for standard assessment of geometric accuracy [1–3]. Since the SF must be of perfect form, its synthesis uses information about the nominal feature (NF) and includes the deviations leaving the feature shape unchanged – the size, position, and orientation deviations (SPOD). Evaluation of the SF parameters is carried out using the actual feature (AF) data resulting from the point-to-point coordinate measurements of the AF on coordinate measuring machines (CMM). Thus, the SF concentrates the information needed for verification of the manufactured workpiece – information about the NF from the drawing and information about the AF in the form of results of measurements.
Workload aware incremental repartitioning of NoSQL for OLTP applications

Numerous applications are deployed on the web with the increasing popularity of internet. These include gaming and e-commerce web applications. These applications generate huge amount of the data. One particular machine cannot handle such data. It is difficult to scale out by using relational databases. OLTP system needs to be scalable and require fast response. Therefore the scalability becomes the challenge for the e-commerce applications. Data partitioning technique is used to improve the scalability of the system. Existing partitioning techniques does not consider the relation among tuples. These techniques do not handle incremental data and are suitable for those applications that required only sequential access to the data. It results in increasing the number of the distributed transactions. The work-load aware incremental repartitioning approach is used to balance the load among the partitions. Hypergraph representation technique represents transactional workload in graph form. In this technique, frequently used items are grouped together by using fuzzy C-means clustering algorithm. Tuple classification and migration algorithm is used for mapping clusters to partitions and after that tuples are migrated efficiently.
Preface

This January 2020 issue of the IEEE Transactions on Visualization and Computer Graphics (TVCG) contains the proceedings of IEEE VIS 2019, held during 20-25 October 2019 at the Vancouver Convention Center in Vancouver, BC, Canada. With IEEE VIS 2019, the conference series is in its 30 th year. <p xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">IEEE VIS consists of three conferences, held concurrently: the IEEE Visual Analytics Science and Technology Conference (VAST), the IEEE Information Visualization Conference (InfoVis), and the IEEE Scientific Visualization Conference (SciVis). These three conferences are the premier venues for the visualization community to exchange the latest ideas and developments, attracting researchers and practitioners alike.
Afrexim Bank

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 55, Issue 12 p. 22401A-22401B Policy and Practice Afrexim Bank First published: 01 February 2019 https://doi.org/10.1111/j.1467-6346.2019.08706.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 onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume55, Issue12February 2019Pages 22401A-22401B RelatedInformation
Koha as a solution for library administration

The investigation was addressed to the analysis and implementation of a Bibliographical Information System prototype (SIB), but mainly to tools available for the public under a GLP license, having in mind the beneits and consequences that could be obtained at the technical and administrative levels. The following question was set out: "How a bibliographical information system as KOHA would satisfy the functional and service needs in small libraries?" The answer was obtained through the analysis of different components in the Information Systems and the advantages that the process automation within the Bibliographic Information Centers provides. In general, Koha answered the requirements of libraries as to the administration of its bibliographic funds, assuring the provision of quality services to its users.
Fibonacci Algorithm for Determining Minimum Value of a Unimodal Function using MATLAB Programmed Computing Software

Fibonacci number sequencing process is a number generating procedure. One among the several applications of such sequencing process is to search the interval where the certain Fibonacci numbers are either at the boundary or at the position related to the Fibonacci numbered sub interval generating expressions. In this paper the author used MATLAB programed computing software to determine the local minimum of a unimodal function that’s domain is not necessarily a continuous number interval and searched the values of the function using a suitable algorithm named Fibonacci algorithm for determining minimum value of a unimodal function.
Fog formation, smog situations and air quality in high school physics education

&amp;lt;p&amp;gt;&amp;amp;#160;It has become a requirement worldwide that physics syllabus should contain everyday knowledge as well. One important field that can make the curriculum more colourful and exciting is the field of meteorology. In our presentation a three-lesson-long curriculum for grammar schools will be introduced on how to teach the connection between fog formation and air quality. Mist (visibility between 1 and 5 km) and fog (visibility below 1 km) are frequent weather events in the Carpathian Basin in the winter half year and during mostly anticyclonic weather situations with durations of 500-1000 and 150-300 hours respectively. In these cases often occurs the temperature inversions, the cold air pool events thus the high concentration of pollutants. The international educational experience of this particular topic will be surveyed, mainly in the countries of the Carpathian Basin; moreover the measurement processes and education methods used in the GLOBE programme will also be presented. The curriculum was tried within the framework of physics among 14 to 16-year-old Slovakian secondary school students partially in long-distance education on the Internet. Students&amp;amp;#8217; knowledge on the given subject was tested both before and after the experiment.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The experimental curriculum consists of three parts. In the first part air humidity and the notion of absolute and relative humidity are discussed. Through a few specific exercises the students learn to specify relative humidity and become acquainted with fog formation. It is shown via an experiment that air cooling at a constant humidity is not enough to form fog because condensational cores are needed for the formation of tiny water drops. In the 2&amp;lt;sup&amp;gt;nd&amp;lt;/sup&amp;gt; lesson the concept of temperature inversion and its connection to fog and air pollution are discussed. With the use of Internet websites the students collect information about the formation of smog, its types, occurrence and the conditions announcing smog alert. In the 3&amp;lt;sup&amp;gt;rd&amp;lt;/sup&amp;gt; lesson the methods of analysing air pollution and different air polluting materials are discussed. Websites, where the students can follow the air pollution data of their area, are used. On the grounds of this tasks about interpretation of the data are solved. Pieces of information which are available on the website of the European Environment Agency are also touched on. It was a new realization for them that the inhabitants of poverty-stricken valleys were more vulnerable to the formation of smog.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Other than helping the students better understand the concept of humidity, the experiment helped them better understand changes in consistency. Based on our experience, the experimental curriculum motivated the students to understand processes which take place in their environment regarding environmental protection and to make suggestions about solving these problems.&amp;amp;#160;&amp;lt;/p&amp;gt;
Member spotlight

In this feature of the Bulletin, we highlight members of the SIGCSE community. In this issue, Bulletin co-editor Jeffrey Miller interviewed Dr. Karen Davis, Associate Professor in the Department of Software Engineering and Computer Science at Miami University in Oxford, OH. Dr. Davis received a B.S. degree in Computer Science from Loyola University, New Orleans in 1985 and an M.S. and Ph.D. in Computer Science from the University of Louisiana, Lafayette in 1987 and 1990, respectively. She was a Professor in the Electrical Engineering and Computer Science Department at the University of Cincinnati prior to joining the faculty at Miami in 2017. Her research interests include data modeling, query optimization, and computing education. In 2016, she received the ASEE Sharon Keillor Award for Women in Engineering Education. In 2021, she received Miami's MAC Outstanding Faculty Award for Student Success.