Reviewerly/exHarmony huggingface dataset:
TATA KELOLA TINGKAT LAYANAN SISTEM INFORMASI PEMESANAN TIKET MENGGUNAKAN KERANGKA KERJA COBIT 4.1 PADA ARNES SHUTTLE CABANG KOTA BANDUNG

All the development of information systems and computer technology very fast. It can be seenin everyday life where people in this world are utilizing the computer as a tool to complete their job.Information systems are used to provide facilities for a company in general. And the special tofacilitate the service for booking tickets at Arnes Shuttle Branch Bandung.Information technology required by Arnes Shuttle is related to information technology ticketbooking system . The information system will allow a company to run its business processes . Butafter research by observation and interviews are still found weaknesses in the current system . Theproblems that exist in the ticket booking information system is the frequent occurrence of error orcan’t be processed that cause slow serviceFor the management of information systems need to service level governance informationsystem using the COBIT framework 4.1 (Control Objective for Information and Related Technology).
SISTEM INFORMASI PUNISHMENT AND REWARD SERTA SMS GATEWAY DI SMP. NURUL JADID

The existence of information system which enables documenting of violation, achievement, and report for parents in importantly needed to monitor students’ progress. Therefore, the purpose of this research is to make Information System of Punishment, Reward, SMS Gateway in Nurul Jadid Junior High School for producing software of information system which can be used by Discipline Department in Nurul Jadid Junior High School to encode or produce report for parents about violations or students’ achievement. The method used in this research is qualitative method while the system of development method is waterfall method. The result of this research is a software examined for user applicant and fulfilling the standard based on patterned necessity analysis. By making Information System of Punishment, Reward, SMS Gateway in Nurul Jadid Junior High School which gives exact result and agrees with institution’s desire in problems of violation point recording, students’ achievement, and also report for parents is expected for developers to develop this information system by increasing student progress graphic or students’ accepted sanction kinds, while for user applicants, it is also expected to join training of made system use.
An Introduction to Security Challenges in User-Facing Cryptographic Software

One of the key challenges in the development of secure software is the tradeoff between usability and security. Often, many of the rigorous requirements of a strong cryptographic implementation appear to be at odds with consumer requirements and desires. Non-technical users typically desire a straightforward user interface which does not require them to learn any special skills to use the application, yet also expect the application to offer them adequate protection [30]. There is, however, very little that an average user can do to ensure the security of the underlying technical implementation of security software they run, presenting a major challenge for users left unable to conveniently verify that the software works as expected. The intersection of the technical requirements for cryptography, and consumers’ desires for usability introduces a number of opportunities for security weaknesses to emerge within the design of security software. A desire for convenience has been widely recognised as resulting in poor security practices, such as in the selection of passwords [31], of particular concern where user passwords are used for the generation of encryption keys for data.
An Efficient Adaptive Genetic Algorithm (GA) Technique to Improve the Neural Network (NN) Performance with aid of Adaptive GA Operators

The neural network (NN) performance improvement is one of the major topics. Thus an adaptive genetic algorithm (AGA) technique is proposed by making adaptive with respect to genetic operators like crossover and mutation. Our adaptive GA technique starts with the generation of initial population as same as the normal GA and performs the fitness calculation for each individual generated chromosome. After that, the genetic operator's crossover and mutation will be performed on the best chromosomes. The AGA technique will be utilised in the NN performance improvement process. The AGA will utilise some parameters obtained from the NN by back propagation algorithm. The utilisation of NN parameters by AGA will improve the NN performance. Hence, the NN performance can be improved more effectively by achieving high performance ratio than the conventional GA with NN. The technique will be implemented in the working platform of MATLAB and the results will be analysed to demonstrate the performance of the proposed AGA.
How to Build Intelligent Interactive Agents Using Soar

Author(s): Jones, Randolph M; Wray, Robert E, III; Henninger, Amy E; Wood, Scott; Chong, Ronald S
Analysis of Influence of Different Relations Types on the Quality of Thesaurus Application to Text Classification Problems

The main purpose of the article is to analyze how effectively different types of thesaurus relations can be used for solutions of text classification tasks. The basis of the study is an automatically generated thesaurus of a domain, that contains three types of relations: synonymous, hierarchical and associative. To generate the thesaurus the authors use a hybrid method based on several linguistic and statistical algorithms for extraction of semantic relations. The method allows to create a thesaurus with a sufficiently large number of terms and relations among them. The authors consider two problems: topical text classification and sentiment classification of large newspaper articles. To solve them, the authors developed two approaches that complement standard algorithms with a procedure that take into account thesaurus relations to determine semantic features of texts. The approach to topical classification includes the standard unsupervised BM25 algorithm and the procedure, that take into account synonymous and hierarchical relations of the thesaurus of the domain. The approach to sentiment classification consists of two steps. At the first step, a thesaurus is created, whose terms weight polarities are calculated depending on the term occurrences in the training set or on the weights of related thesaurus terms. At the second step, the thesaurus is used to compute the features of words from texts and to classify texts by the algorithm SVM or Naive Bayes. In experiments with text corpora BBCSport, Reuters, PubMed and the corpus of articles about American immigrants, the authors varied the types of thesaurus relations that are involved in the classification and the degree of their use. The results of the experiments make it possible to evaluate the efficiency of the application of thesaurus relations for classification of raw texts and to determine under what conditions certain relations affect more or less. In particular, the most useful thesaurus relations are synonymous and hierarchical, as they provide a better quality of classification.
BIER Prefix Redistribute

This document defines a BIER proxy function to interconnect differentunderlay routing protocol areas in a network. And a new BIER proxyrange sub-TLV is also defined to convey BIER BFR-id information acrossthe routing areas.
PENGELOMPOKAN KEJADIAN GEMPA BUMI MENGGUNAKAN FUZZY C-MEANS CLUSTERING

The Indonesian region has a high level of earthquake vulnerability when compared to other countries. This is because Indonesia's position is at the confluence of three large tectonic plates namely the Eurasian plate, the Indo-Australian plate, and the Pacific plate. The high level of earthquake susceptibility is evidenced by significant earthquake data from 2005 to 2009, which recorded 26 significant earthquakes over a period of 4.8 to 8.6 on the Richter scale. The earthquake also caused impacts including casualties, injuries, damage to houses and destruction of houses.The earthquake event grouping system is a system that functions to classify earthquake events based on two main parameters, namely earthquake strength parameters and earthquake impact parameters. The two parameters are grouped separately, so that the grouping process produces two kinds of grouping results. The stages of this system start from preprocessing data to eliminate noise, then take grouping parameters from the user in the form of the number of clusters, minimum error values, and the maximum iteration limit. Grouping is done using fuzzy c-means method. The grouping results are then displayed in table form and in the form of coordinates in Google Maps.The grouping of earthquake events has been tested by comparing the results of grouping systems with the results of manual grouping. Testing is done by inputting a number of different maximum iterations. Based on the test results it was found that the greater the maximum iteration value will affect the accuracy of grouping.
Efektifitas Elevasi Kepala 300 Dalam Meningkatkan Perfusi Serebral Pada Pasien Post Trepanasi di Rumah Sakit Mitra Surabaya

Head trauma often causes cerebral perfusion disturbances that can cause some problems. Conditions of hypoxia, hypercapnia, hypotension and cerebral edema can cause further effect is increased intracranial pressure due to an increase in a confined space, reduced cerebral perfusion. so necessary actions to improve perfusion is by setting position of the head elevation 300 to increase cerebral venous drainage. The purpose of this study was to analyze the effectiveness of a 30° head-up positionin the post trepanation head injury patients in improving cerebral perfusion. This study used anonqui valent control group design. Post-op patient population trepanation head trauma in Hospital Mitra Keluarga Surabaya at 1 month Desember 2012 – 10 February 2013. The sample of the study15 patients with post-op trepanation head trauma. Sampling was done by purposive sampling technique. The variables of this study is the head-up 300 in patients post-op trepanation head trauma and cerebral perfusion. The results showed that the average MAP was100 mmHg and average GCS was 12.4. Based on the test paired t-test with significance level α=0.005 obtained P= 0.000 means there is influence the effectiveness of the head-up 300 against cerebral. Perfusionin patients with post-op trepanation after 8 hours. Head up to 300 can improve cerebral perfusion in patients with head trauma post op trepanation. This research needs to be recommended to the health practitioner, specializing in nursing to provide ahead-up position 300 to increase cerebral perfusion. Keywords: Flat Position, Head Up 300, Post Op Trepanation Head Trauma and Cerebral Perfusion.
Pedestrian Detection in Infrared Outdoor Images Based on Atmospheric Situation Estimation

Observation in absolute darkness and daytime under every atmospheric situation is one of the advantages of thermal imaging systems. In spite of increasing trend of using these systems, there are still lots of difficulties in analysing thermal images due to the variable features of pedestrians and atmospheric situations. In this paper an efficient method is proposed for detecting pedestrians in outdoor thermal images that adapts to variable atmospheric situations. In the first step, the type of atmospheric situation is estimated based on the global features of the thermal image. Then, for each situation, a relevant algorithm is performed for pedestrian detection. To do this, thermal images are divided into three classes of atmospheric situations: a) fine such as sunny weather, b) bad such as rainy and hazy weather, c) hot such as hot summer days where pedestrians are darker than background. Then 2-Dimensional Double Density Dual Tree Discrete Wavelet Transform (2D DD DT DWT) in three levels is acquired from input images and the energy of low frequency coefficients in third level is calculated as the discriminating feature for atmospheric situation identification. Feed-forward neural network (FFNN) classifier is trained by this feature vector to determine the category of atmospheric situation. Finally, a predetermined algorithm that is relevant to the category of atmospheric situation is applied for pedestrian detection. The proposed method in pedestrian detection has high performance so that the accuracy of pedestrian detection in two popular databases is more than 99%.
Integer complexity: the integer defect

Define $\|n\|$ to be the complexity of $n$, the smallest number of ones needed to write $n$ using an arbitrary combination of addition and multiplication. John Selfridge showed that $\|n\|\ge 3\log_3 n$ for all $n$, leading this author and Zelinsky to define the defect of $n$, $\delta(n)$, to be the difference $\|n\|-3\log_3 n$. Meanwhile, in the study of addition chains, it is common to consider $s(n)$, the number of small steps of $n$, defined as $\ell(n)-\lfloor\log_2 n\rfloor$, an integer quantity. So here we analogously define $D(n)$, the integer defect of $n$, an integer version of $\delta(n)$ analogous to $s(n)$. Note that $D(n)$ is not the same as $\lceil \delta(n) \rceil$. We show that $D(n)$ has additional meaning in terms of the defect well-ordering considered in [3], in that $D(n)$ indicates which powers of $\omega$ the quantity $\delta(n)$ lies between when one restricts to $n$ with $\|n\|$ lying in a specified congruence class modulo $3$. We also determine all numbers $n$ with $D(n)\le 1$, and use this to generalize a result of Rawsthorne [18].
A Study on Stochastic Variational Inference for Topic Modeling with Word Embeddings

Probabilistic topic models based on Latent Dirichlet Allocation (LDA) is widely used to extract latent topics from document collections. In recent years, a number of extended topic models have been proposed, especially Gaussian LDA (G-LDA) has attracted a lot of attention. G-LDA integrates topic modeling with word embeddings by replacing discrete topic distributions over words with multivariate Gaussian distributions on the word embedding space. This can reflect semantic information into topics. In this paper, we use G-LDA for our base topic model and apply Stochastic Variational Inference (SVI), an efficient inference algorithm, to estimate topics. Through experiments, we could extract the topics with high coherence in practical time.
Automatic Construction of Persian ICT WordNet using Princeton WordNet

WordNet is a large lexical database of English language, in which, nouns, verbs, adjectives, and adverbs are grouped into sets of cognitive synonyms (synsets). Each synset expresses a distinct concept. Synsets are interlinked by both semantic and lexical relations. WordNet is essentially used for word sense disambiguation, information retrieval, and text translation. In this paper, we propose several automatic methods to extract Information and Communication Technology (ICT)-related data from Princeton WordNet. We, then, add these extracted data to our Persian WordNet. The advantage of automated methods is reducing the interference of human factors and accelerating the development of our bilingual ICT WordNet. In our first proposed method, based on a small subset of ICT words, we use the definition of each synset to decide whether that synset is ICT. The second mechanism is to extract synsets which are in a semantic relation with ICT synsets. We also use two similarity criteria, namely LCS and S3M, to measure the similarity between a synset definition in WordNet and definition of any word in Microsoft dictionary. Our last method is to verify the coordinate of ICT synsets. Results show that our proposed mechanisms are able to extract ICT data from Princeton WordNet at a good level of accuracy.
Solving Partial Assignment Problems using Random Clique Complexes

We present an alternate formulation of the partial assignment problem as matching random clique complexes, that are higher-order analogues of random graphs, designed to provide a set of invariants that better detect higher-order structure. The proposed method creates random clique adjacency matrices for each k-skeleton of the random clique complexes and matches them, taking into account each point as the affine combination of its geometric neighbourhood. We justify our solution theoretically, by analyzing the runtime and storage complexity of our algorithm along with the asymptotic behaviour of the quadratic assignment problem (QAP) that is associated with the underlying random clique adjacency matrices. Experiments on both synthetic and real-world datasets, containing severe occlusions and distortions, provide insight into the accuracy, efficiency, and robustness of our approach. We outperform diverse matching algorithms by a significant margin.
My Approach = Your Apparatus? Entropy-Based Topic Modeling on Multiple Domain-Specific Text Collections.

Comparative text mining extends from genre analysis and political bias detection to the revelation of cultural and geographic differences, through to the search for prior art across patents and scientific papers. These applications use cross-collection topic modeling for the exploration, clustering, and comparison of large sets of documents, such as digital libraries. However, topic modeling on documents from different collections is challenging because of domain-specific vocabulary. We present a cross-collection topic model combined with automatic domain term extraction and phrase segmentation. This model distinguishes collection-specific and collection-independent words based on information entropy and reveals commonalities and differences of multiple text collections. We evaluate our model on patents, scientific papers, newspaper articles, forum posts, and Wikipedia articles. In comparison to state-of-the-art cross-collection topic modeling, our model achieves up to 13% higher topic coherence, up to 4% lower perplexity, and up to 31% higher document classification accuracy. More importantly, our approach is the first topic model that ensures disjunct general and specific word distributions, resulting in clear-cut topic representations.
Bots

Have you ever asked your home smart device what the weather will be like today or the score of last night’s football game? You’re not alone. The explosion in virtual assistants in the home environments underscores the reality that software and interactive self-service autonomous consumer applications are now an intricate and interwoven part of our lives.
Blasphemy and the European Court of Human Rights: A Small Step Forward, a Giant Leap Back

Time and again (e.g. in such cases as X. Ltd. and Y. v United Kingdom, Otto-Preminger-Institut v Austria, Wingrove v United Kingdom, and İ.A. v Turkey) the European Court of Human Rights has accepted that responding states legitimately interfered with free speech in the interest of protecting the sensitivities of religious believers. Individual ECtHR judges have, in their dissenting opinions, lamented that ‘the time has perhaps come to “revisit” this case-law, which in our view seems to place too much emphasis on conformism or uniformity of thought and to reflect an overcautious and timid conception of freedom of the press’ (I.A.). In this contribution, scrutinising the most recent instalments of the Strasbourg Court's jurisprudence on speech acts alleged to insult religious sentiments (including, E.S. v Austria and Mariya Alekhina and Others v Russia [Pussy Riot]), it will be ascertained if and to what extent the European Court of Human Rights is indeed revisiting its jurisprudence in this area.
Emerson, Thoreau, Fuller, and Transcendentalism

Research Article| September 01 2019 Emerson, Thoreau, Fuller, and Transcendentalism Todd H. Richardson Todd H. Richardson University of Texas of the Permian Basin Search for other works by this author on: This Site Google American Literary Scholarship (2019) 2017 (1): 3–26. https://doi.org/10.1215/00659142-7328757 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn MailTo Permissions Search Site Citation Todd H. Richardson; Emerson, Thoreau, Fuller, and Transcendentalism. American Literary Scholarship 1 September 2019; 2017 (1): 3–26. doi: https://doi.org/10.1215/00659142-7328757 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search Books & JournalsAll JournalsAmerican Literary Scholarship Search Advanced Search The text of this article is only available as a PDF. © 2019 by Duke University Press2019 Article PDF first page preview Close Modal You do not currently have access to this content.
Siemens Dimension Troponin I Reagent

Biomedical Safety & Standards: December 15, 2020 - Volume 50 - Issue 22 - p 172 doi: 10.1097/01.BMSAS.0000724976.34748.ee
Characterization of atmospheric turbulence effects and their mitigation using wavelet-based signal processing

In this chapter, the key theoretical aspects of dynamic atmospheric turbulence related effects such as scintillations and beam wandering are discussed. The theoretical aspects of the major turbulent atmospheric effects scintillations, beam wandering, beam pointing stability and their simulation and experimental verification are discussed in Section 7.2. Experimental measurement of the laser beam profile at the receiver plane is discussed in Section 7.3, which will be used as the basis for the experimental characterization of the atmospheric turbulence effects later in this chapter. The experimental work presented in this chapter is primarily focused on determination of the individual contribution of scintillations and beam wandering to the received signal variance. This chapter also deals with experimental validation of the theoretical calculations of scintillation index fluctuations and beam wandering effects on the received signal variances. Investigations on the different physical optic principles and advanced signal processing methods to improve the signal quality at the receivers for FSO links are also discussed.
We Have Met the Enemy, and, Sometimes, He Is Us!

In dealing with the “serials crisis” over the years, librarians have often called upon faculty authors and editors in other disciplines to be more “responsible” in their publishing behaviors by, for example, not working with journals that routinely engage in sizable increases in subscription prices. The issuance of Declaring Independence: A Guide to Creating Community Controlled Science Journals by the Scholarly Publishing and Academic Resources Coalition (SPARC) and the Triangle Research Libraries Network (TRLN) in 2001 provided Chaffin with a framework for comparison of journals in library and information science with those in other disciplines more commonly cited as culprits in producing the “serials crisis.” Comparisons of three years of data on annual subscription prices in journals, copyright policies, and use of alternate publishing models for library and information science, physics, and sociology revealed no significant differences in journals by 312disciplinary fields. The finding that librarians and information scientists behaved no better than those in field commonly cited for behaving “irresponsibly” prompted both the title of this workshop–inspired by Walt Kelley’s Pogo comic strip–and much stimulating discussion within it. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-HAWORTH. E-mail address: &lt;docdelivery@haworthpress.com&gt; Website: &lt;http://www.HaworthPress.com&gt;]