Reviewerly/exHarmony huggingface dataset:
Usefulness of histogram study in diagnosis of malaria: our experience at tertiary care center

Background: Malaria diagnosis presents a challenge to all laboratories. Especially post monsoon season, there is a need for rapid, sensitive and cost effective method to effectively screen all samples, especially when workload is very high. Automated cell counters offer rapid, sensitive and cost effective screening of all samples.Aims and objective: To evaluate the usefulness of automated cell counters analysing their histograms, scatter-grams and the flaggings generated in malaria positive cases. To compare other parameters which could help to identify malaria parasite in microscopic examination of peripheral smear.Methods: The study was conducted in the laboratory of B. J. Medical College, civil hospital, Ahmedabad12 months of duration from November 2014 to November 2015. 775 samples from the patients who presented to emergency department and for whom the attending clinicians had requested full blood count and malaria smears were included in the study. Samples were processed as part of normal routine cell dyn ruby analyser for FBC (Full Blood Count). We had used histograms and scatterplots which were generated by cell dyn ruby and interpreted the histograms in malarial cases.Result: Total 775 cases were studied, out of which 409 cases were positive for malaria which are confirmed by peripheral smear examination.409 positive cases were evaluated, abnormal scattergram were observed in 98% cases of malaria while abnormal WBC histogram peaks were noted in 92% cases of malaria. Haematological parameters such as anaemia, leucopenia, Monocytosis, atypical lymphocytosis, atypical eosinophilia, pink flag were also important for diagnosis.Conclusion: This method of histogram study in malaria is a useful addition to conventional microscopy. Beneficial part of this study is that where workload is high and clinician send only CBC (complete blood count), in such circumstances histogram study in automated analysers as we have used cell dyn ruby in our institute, we can diagn
A representação arquivística na tradição canadense: subsídios para elaboração de um modelo ideal de ensino por meio da semântica textual.

It presents a study relating Linguistics and Archival Science through semantics and Archival Representation. The general objective was to contribute to the construction of a theoretical and methodological reference regarding the Archival Representation in the Canadian context, aiming the creation of a teaching model based on textual semantics, and its specific objectives were to analyze research instruments of two Canadian institutions; to observe the linguistic analysis criteria established for this research, in these instruments; compare the approaches in representation in the two selected institutions. The method used to achieve these objectives is characterized by being an exploratory, theoretical and documentary study, having the semantic and textual construction criteria of meaning and constituent elements of textual coherence and cohesion as a methodology of analysis for understanding the paths of Archival Representation in the research tools of the Canadian Archives - Library and Archives Canada (LAC) and Provincial Archives of Manitoba. We delimitated these two Canadian institutions from federal and state action spheres, respectively, to analyze the classification and description of archives practices due to the importance to the scenario of the chosen country, since these institutions present different approaches in representation.
Jeroen Temperman and András Koltay (eds), Blasphemy and Freedom of Expression: Comparative, Theoretical and Historical Reflections after the Charlie Hebdo Massacre (Cambridge University Press, 2017, xix + 750pp, £140) ISBN 9781108416917 (hb)

Jeroen Temperman and András Koltay’s edited collection, Blasphemy and Freedom of Expression: Comparative, Theoretical and Historical Reflections after the Charlie Hebdo Massacre, provides an in-depth and nuanced exploration of the laws regulating blasphemy and related concepts including religious insult, defamation of religions and religious hatred, from the perspective of freedom of expression. While the Charlie Hebdo massacre provides the inspiration behind this timely volume, its treatment of the subject matter extends significantly past this one event to a comprehensive and sophisticated analysis of the often neglected topic of blasphemy laws in the West. In the introduction, co-authored by Temperman and Koltay, the editors of the volume signal their intention to explore three key themes or issues: first, is the operation of blasphemy laws in the West, ‘exactly how “dormant” these laws are’ and why States are increasingly repealing these laws (pp 2–4). Second, they seek to explore the fragmentation within international law in relation to the acceptability of blasphemy laws from the perspective of freedom of expression, focusing, in particular, on the discrepancy between the approach of the European Court of Human Rights (ECtHR) on the one hand and other human rights mechanisms on the other, including the United Nations (UN) Human Rights Committee, Special Rapporteurs and the Rabat Plan of Action (pp 4–9). Finally, this volume seeks to unveil the variety of perspectives within ‘Western’ legal doctrine concerning the acceptability of blasphemy laws (pp 9–12). In so doing, the edited collection provides a comprehensive overview of both the current situation and contemporary debates surrounding blasphemy and freedom of expression in the West.
Методика расчета траекторий полета беспилотных летательных аппаратов для наблюдения за местностью

We describe an algorithm building UAV flight path for static targets surveillance. The algorithm provides a sub minimal path and takes into consideration limitation by the maximum turning radius.
A Robust and Automated Approach for Multilingual Indian Document Indexing

Currently, several Indian government offices lack a robust software for searching words from the scanned multilingual Indian documents. Manually searching such documents is tedious and time-consuming. Moreover, there will be a large number of such documents to be searched for the desired contents. Thus, there is a pressing need for robust automatic search software for multilingual Indian aged documents, where there is no single robust Optical Character Recognition (OCR) system existing to recognize the complex Indian scripts. Towards this end, we propose to group the components belonging to a text line of a document with multiple orientations using a new geometrical approach and an extended profile feature extraction technique for character recognition of printed Indian documents. The performance of the proposed approach is evaluated on variety of Indian documents with English characters and Devanagari scripts. Experimental results suggests that the proposed approach generates the accurate index words for most of the document images used in this study. Moreover, the proposed technique saves both time and efforts compared with the manual indexing of document images.
Machine Learning in Azure Stream Analytics

Azure Stream Analytics is an event-processing engine that allows users to analyze high volumes of data streaming from devices, sensors, and applications. Azure Stream Analytics can be used for Internet of Things (IoT) real-time analytics, remote monitoring and data inventory controls. However, Azure Stream Analytics is another component in Azure on which we could run machine learning. It is possible to use a machine learning model API created in Azure ML Studio inside Azure Stream Analytics for applying machine learning to streaming data from sensors, applications, and live databases. In this chapter, I will explain how to use machine learning inside Azure Stream Analytics. First, a general introduction to Azure Stream Analytics is given, then, a simple example of an Azure ML Studio API that is going to be applied to the stream data is presented.
APPLICATION OF DEEP LEARNING ALGORITHMS IN DETECTION OF MITOTIC EVENTS IN ORAL SQUAMOUS CELL CARCINOMA USING CELLPHONE IMAGES

Identifying mitoses in tumors and metastatic deposits in lymph nodes can be laborious and time-consuming tasks. Advances in digital pathology and machine learning algorithms have demonstrated promising results by automating these assignments in breast tissue and sentinel lymph node sections. These breakthroughs have made automated histopathological diagnosis a possibility. All prior studies have used high-resolution images from expensive whole slide image (WSI) scanners for training and detection of cellular events. Our aim was to investigate the efficacy of deep learning algorithms for automated detection of mitotic events on low quality images of oral squamous cell carcinoma (OSCC) produced by cellphone cameras. Methodology A FAST region-based convoluted neural network was trained on WSI from breast cancer. The mitotic events were highlighted through provision of pixel locations to the training algorithm, each patch was approximately 301 × 301 in size. The non-mitosis regions were randomly selected on the images. The final training data set comprised of 4407 image patches. Transfer learning was applied to generate results. Similar algorithms were employed on a data set of comparable size acquired through a cellphone camera from 13 different OSCCs at high-power (40x). Results The WSI demonstrated true positive rates of 0.46 and a false positive of 0.76 with an overall F1 precision of 0.57. The results from cellphone camera showed true positive rates of 0.46, and false positive rates of 0.54. The overall F1 score was 0.49. Conclusion Although WSIs outperformed cellphone images in identifying mitoses, enhancing image quality through modified algorithms may improve efficacy. This will facilitate use of low-cost data sets for training future algorithms for automated detection of cellular events, and widen its impact by making it accessible to every pathologist with a cellphone camera.
Influence of Mobile Phone on the Education of Educated Youths in the Town of Ngaoundere

This work is based on the influence of mobile phones on the education of educated youths of Ngaoundere.Every time that a new technology interferes in daily life, concerns are triggered.We have gone from the following contrasting observation that the use of mobile phones is restricted within school institutions whereas this also constitutes an educational tool.Thereof, we asked the following question: how in this environment, can the use of mobile phones have an influence on the education of educated youths in the town of Ngaoundere?The methodology employed is mixed doubled with a quantitative and qualitative analysis of data.The quiz, interview guide, the focus group, the participating observation were mobilised to collect besides 440 pupils and students of 14-20 years age range within establishments: Mazenod college, Protestant College, Government Bilingual High School, Classical High School and University of Ngaoundere; All constituting sample obtained by convenience within our study population.The khi -Square test and associating measures were used for data analysis.At the end of our research, results obtained sufficiently show that there exists a significant link between the use of mobile phones and the education of educated youths in the town of Ngaoundere.All the same, as the use of mobile phone has today become unavoidable and reveals to be an instrument of multifunctional utility in everyday, some suggestions were formulated for an efficient and rational use of this communication and learning object by educated youths.
Research on the Influence of Social Network on the Growth of Middle and Upper-level Female Management Talents

The research proves that social network has positive or negative influence on the career success of enterprise managers, but it needs to study whether it has any influence on female high-level management talents in enterprises.This research mainly studies the influence of social network on the growth of female middle and senior management talents in enterprises by means of data statistics such as regression analysis and questionnaire survey.It is concluded that network heterogeneity has a positive impact on the growth of middle-and high-level managers of female enterprises.The network scale and relationship intensity have some positive effects.The network density has a negative impact on the growth of middle-and high-level managers of female enterprises.At the same time, amenity plays a part in regulating the influence of social networks on the growth of middle-and high-level managers of female enterprises.
The Relationship between Educational Fairness and Adequacy: Evidence from Student Achievement in 28 OECD Countries

학업성취 결과에 초점을 둔 교육 형평성 논의는 크게 교육의 공정성(fairness)과 교육의 적정성(adequacy) 측면으로 구분된다. 선행연구 대부분은 여기에 대해 규범적으로 접근하고 있을 뿐 교육의 공정성과 적정성이 상호 동반되는지 혹은 배타적인지를 경험적으로 확인한 연구는 찾아보기 어렵다. 교육의 공정성과 적정성의 관계에 대한 실증적 증거는 각국이 교육결과의 형평성을 증진하기 위한 구체적인 방향을 설정하는 데 도움이 될 것이다. 이에 본 연구는 2006년부터 2015년까지 PISA에 모두 참여한 28개 OECD 회원국의 학업성취 결과를 대상으로 국가 내 교육 공정성의 변화량과 교육 적정성의 변화량 간 관계가 어떠한지 탐색하였다. 교육의 공정성은 학생의 가정 배경과 학업성취도 간 관계를 나타내는 SES 계수로, 교육의 적정성은 기초학력 도달 학생 비율과 학업성취 결과의 불평등한 정도를 나타내는 학업성취 Gini형 계수로 각각 확인하였다. 고정효과 모형을 활용한 분석결과, 교육의 공정성과 적정성이 서로 상충되는 관계가 아니라 상호 동반되는 관계이거나 서로 관계가 없는 것으로 나타났다. 보다 구체적으로, SES 계수의 증가와 기초학력 도달 학생 비율의 증가 간에는 유의한 관계가 없는 것으로 나타났다. 반면에 SES 계수가 증가한 국가에서는 학업성취 Gini형 계수 역시 증가한 것으로 나타났다. 마지막으로 교육의 공정성을 측정한 두 변수사이에도 유의미한 관계가 확인되었는데, 기초학력 도달 학생 비율이 증가한 국가에서 학업성취 Gini형 계수가 감소한 것으로 나타났다.Educational equity has evolved into two distinctly different dimensions: fairness and adequacy. However, there is a lack of empirical studies exploring the relationship between educational fairness and adequacy. This study aimed to examine whether these two dimensions of equity tend to reinforce each other in practice or pull in different directions. Data for the study were taken from the most recent four waves of Programme for International Student Assessment. Focusing on the students’ math achievement, this study calculated educational fairness (the relationship between students’ socioeconomic status and their academic achievement) and educational adequacy (the percentage of students above the minimum standard; a Gini-type coefficient of academic achievement inequality). Based on the created variables, 28 OECD country panel data for the period 2006 to 2015 were constructed, and a fixed-effect model was used. The main findings of this study demonstrate that within-country changes in educational fairness are intertwined with adequacy. More specifically, the relationship between the SES coefficient and a Gini-type coefficient is positive, whereas no significant relationship is found between the SES coefficient and the percentage of students above the minimum standard. A negative relation is found between a Gini-type coefficient and the percentage of students above the minimum standard.
Effective content based pattern predicted text mining using PSE model

The main importance of pattern searching engine (PSE) model provides solution for the applications, which involves pattern-based mining and find connections between patterns (e.g., emotions) and affective terms by categorising the text in the content under examination. It discovers patterns of word-use and how to connect documents that shared similar patterns. PSE model uses both theme-based examination and idea-based investigation, those can foresee the normal example by utilising semantic-based natural seeking model which interface words with comparative implications and recognise employments of words with different implications in a viable and speedy way.
High and Long-Term Demands on Psychiatric Services in an Area with a Community-Based System of Care

The reduction in the number of hospital beds and the development of new community psychiatric services, which occurred in Italy following the psychiatric reform of 1978, have aroused much interest in the evaluation of these new services and, in particular, in the study of the patterns of care provided. Research concerning delivery of psychiatric services has attracted an increasing interest in many other countries, primarily because of the worldwide economic recession and the need for more efficient utilisation of resources. The single consultation patients, as well as the long-stay inpatients were excluded from the study sample. The former group, consisting of patients who were screened, but did not receive any psychiatric care, will be considered in another study. The latter group was excluded, because it is formed by long-stay mental hospital inpatients, who have not been assisted by the South Verona Community Psychiatric Service, nor by the other agencies in the area.
Application of Incident Chain Model and Targeted Dissemination Technology in Early Warning System

In order to improve the accuracy and efficiency of early warning system, the incident chain model and the targeted dissemination technology are proposed in this paper.Firstly, the occurrence probability, affected area and duration of disaster are predicted with the incident chain model and GIS.According to prediction results, the early warning system can accurately deliver early warning information specifically to the affected areas through targeted dissemination.Moreover, dissemination performance can also be evaluated in real time after early warning information dissemination, so that everyone in the affected area can receive early warning information successfully.The incident chain model and the targeted dissemination technology presented in this study are of great significance for improving the information dissemination ability of early warning system.
The Opportunities and Challenges of Digital Libraries in the Big Data Era

With the development of network resources, digital libraries will face great challenges.Digital libraries should create the big data model and expand the scope of resources.At the level of technology application, clustering technology should be gradually strengthened and improved.The application of data analysis in the system will quickly improve the retrieval technology.At the level of service, digital library service mode will be more automatic, active and personalized.Digital libraries should break the shackles of traditional rules and regulations.It is believed that digital libraries will concentrate resources and upgrade service concepts.
Microbial growth at low nutrient concentrations: An annotated selection of World Wide Web sites relevant to the topics in environmental microbiology

Environmental MicrobiologyVolume 21, Issue 7 p. 2610-2611 Web Alert Microbial growth at low nutrient concentrations: An annotated selection of World Wide Web sites relevant to the topics in environmental microbiology Lawrence P. Wackett, Lawrence P. Wackett McKnight Professor, Department of Biochemistry, Molecular Biology & Biophysics, BioTechnology Institute, University of Minnesota, St. Paul, Minnesota 55108, USASearch for more papers by this author Lawrence P. Wackett, Lawrence P. Wackett McKnight Professor, Department of Biochemistry, Molecular Biology & Biophysics, BioTechnology Institute, University of Minnesota, St. Paul, Minnesota 55108, USASearch for more papers by this author First published: 01 July 2019 https://doi.org/10.1111/1462-2920.14716Read 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. Volume21, Issue7July 2019Pages 2610-2611 RelatedInformation
GPU accelerated video super resolution using transformed spatio-temporal exemplars

Super-resolution (SR) is the method of obtaining high-resolution (HR) images or image sequences from one or more low-resolution (LR) images of a scene. Huang et al. in 2015 proposed a transformed self-exemplar internal database technique which takes advantage of fractal nature in an image by expanding patch search space using geometric variations. This method fails if there is no patch redundancy within and across image scales and also if there is a failure in detecting vanishing points (VP) which are used to determine perspective transformation between LR image and its sub-sampled form. In this paper, we expand the patch search space by taking advantage of temporal dimension of image frames in the scene video and also use an efficient vanishing point (VP) detection technique by Lezama et al. in 2014 and are thereby able to successfully super-resolve even the failure cases of Huang et al. and an overall improvement in PSNR. We also focused on reducing the computation time by exploiting the embarrassingly parallel nature of the algorithm. We achieved a speedup of six on multi-core, up to 11 on GPU, around 16 on hybrid platform of multi-core and GPU by parallelising the proposed algorithm. Using our hybrid implementation, we achieved 32x super-resolution factor in limited time.
«И физики, и лирики»: детерминанты современного медиаобразования

The article substantiates the dualistic approach to media education – a combination of socio-humanitarian and technical-technological blocks. Despite the fact,that there is a stable understanding of media activities,based on the philological, historical, sociological, philosophical, cultural, political and psychological basis, that shapes the personal and professional worldview, analytical thinking, critical (verifying) position in the perception of social reality and objectification data, modern communication realities force specialists to master new information technologies – not only to receive, but also to distribute content on more advanced multimedia and media platforms. This approach is productive both in the training of future specialists in the field of media, and in the retraining of professionals, as well as in the implementation of the media education program in secondary and higher schools.Of course, the above arguments can in many ways be of a debatable nature. However, most representatives of the academic community and the media industry themselves will certainly agree, that there is a need for changes in the traditional media education system today. In turn, the form and degree of these transformations should be the subject of collegial discussion.
Modelling user pictures with hierarchical Dirichlet process of P2P lending market

The emergence of peer-to-peer (P2P) lending has drawn a lot of attention. The enormous data generated from this billions level market bring us a lots of challenges and opportunities. One interesting question of modelling this data is that can we discover the hidden pattern of users' characteristics from it? Currently, few works have been made to this area. In this article, we try to build a Bayesian probabilistic model to discover the latent user pictures. Especially, we build a user picture model via hierarchical Dirichlet process from the data of one of the biggest market, lending club. The discovered user picture is interpretable and can be evaluated from many perspectives. To demonstrate the usage of user picture, we also proposed a method to predict the loan status. The experimental results show our approach outperformed the comparison methods.
Variational approach in time-averaged interference microscopy for full-field vibration profilometry

We propose a new algorithmic solution for time averaged interference microscopy called Variational Hilbert Amplitude Imaging. In a robust, automatic and single-frame manner it calculates full-field vibration amplitude map from recorded interference pattern.