Reviewerly/exHarmony huggingface dataset:
STUDY OF FINE NEEDLE ASPIRATION CYTOLOGY IN PALPABLE BREAST LUMPS AT TERTIARY CARE HOSPITAL, SURYAPET, TELANGANA

Introduction: Breast carcinoma is the second most common malignancy in India preceded by cervical carcinoma. Palpable breast lumps either self detected or identied by clinician are common, efcient evaluation and prompt diagnosis are necessary to rule out malignancy. Clinical examination, radiological evaluation and tissue sampling – Triple assessment needed for denitive diagnosis. FNAC has a good sensitivity, specicity and accuracy in the diagnosis of both neoplastic and non-neoplastic breast lumps. The present study is aimed to analyse the incidence and various cytomorphological sprectrum of breast lesions done by FNAC. Materials &amp; Methods: This is retrospective observational study conducted in Department of Pathology, Government Medical College/ Government General Hospital, Suryapet, Telangana from January 2020 to December 2021 (2years). Clinical history was taken and FNAC done. Smears are stained with H&amp;E stain and assessed. Results: In our study, 87 female patients were analysed. Age group of patients ranged from 15years to 70years. There was slight preponderance in right breast lesions 45cases(51.7%). Most common lesion in our study was broadenoma which constituted 36 cases (41.3%), peak incidence in 21-30year age group. Second most common lesion was duct cell carcinoma accounting for 27cases(31%), peak incidence seen in 41-50years age group. Conclusion FNAC is a simple, safe, cost effective procedure which is a component of triple assessment. It helps to differentiate benign from malignant lesions in majority of cases when combined with clinical and radiological examination for denitive management.
Change in the Relationship between Child Care Teachers and Parents according to their Perception of Parent Meeting

본 연구는 부모면담에 대한 부모와 보육교사의 인식을 살펴보고, 면담을 통한 부모와 보육교사의 관계변화에 대한 의미를 살펴보고자 하였다. 이를 위하여 S 어린이집의 부모 7명과 보육교사 6명을 면담하였으며, 이를 통해 부모면담에 대한 인식을 살펴보았다. 부모면담에 대한 부모와 보육교사의 인식은 ‘영유아에 대한 이해의 차이 인식’, ‘부모와 보육교사의 관점이 다름을 인식’, ‘관계 형성 중요성에 대한 인식’으로 나타났다. 부모면담에 따른 부모와 보육교사의 관계변화는 ‘상호 관점의 이해’와 ‘부모와의 협력적 관계’를 만들어 나갈 수 있는 것으로 나타났다. 또한, 부모면담을 통해 부모들은 자녀에 대해 주관적 시선을 극복하고 보다 객관적인 시선을 가질 수 있었으며, 교사에 대한 신뢰가 높아지고, 자녀양육을 위해 교사와 협력적 관계를 만들어 나갈 수 있다고 보았다. 본 연구를 통해 부모면담의 중요성에 대한 현실성을 이해하고, 앞으로 교사의 의사소통 역량강화를 위한 후속 연구가 이루어져야 할 것이다.The purpose of this study is to identify parents’ and child care teachers’ perception on Parents Meeting. In addition, it aims to explore the meaning behind the change in relationship between parents and child care teachers through conducting interviews. For this study, 7 parents and 6 teachers of S Child care center were interviewed in order to identify their perceptions on Parent Meeting. As a result, it was found that the parents’ and child care teachers’ perceptions on parent meeting consisted of ‘perception on the difference in understanding infants’, ‘perception on the different perspective of parents and child care teachers’, and ‘perception on the importance of building relationships’. Furthermore, it appeared that the change in relationship between parents and child care teachers due to parent meeting can create ‘an understanding of mutual perspectives’ and ‘a cooperative relationship with parents’. In addition, through parent meeting, parents were able to overcome the subjective view of their children and have a more objective view, trust in teachers, and create a cooperative relationship with teachers for child rearing. Through this study, the significance of parent meeting should be understood in reality, and further studies should be conducted to reinforce teachers’ capacity for better communication.
Recommendation System for Outfit Selection

Wearing matched clothes is very essential when going out in the physical world. Wearing matched clothes that show some level of style and that adhere to the norms of social standards boosts a person's confidence and creates a very good impression. Clothing style has always been a nebulous and difficult-to-quantify concept. The same style of clothing may be perceived differently by different people, which is why pertaining to people's preferences Because fashion is not only popular but also extremely profitable, in our daily lives, we deal with a variety of complex issues. In current history, an abundance of research has begun to use, Fashion research using computer vision. Fashion research using computer vision Our proposed system focuses on helping the user to find optimized matching pair of clothes taking into account intricate details like style, patterns, colors, textures, etc. for tops and bottoms selection. It also helps in providing similar items recommendation based on user’s input. Our system is developed for the various features that must be kept in mind for making a robust system that finds clothes matching the user as well as makes similar clothes recommendations.
Semantic Similarity Priming Without Hierarchical Category Structure

In an attractor model of semantic memory, semantic similarity is determined by degree of featural overlap. In contrast, in spreading activation theory, two concepts are similar if they share features or if they are linked to the same superordinate category node. We present an attractor network model of computing word meaning and use it to simulate the data of McRae and Boisvert (in press), who found that short SOA semantic similarity priming directly depends on degree of featural overlap. The two accounts of semantic similarity are then contrasted in a human experiment. In support of attractor networks, priming effects were determined by featural overlap, and no evidence was found for priming through a purported superordinate node. It is concluded that lexical concepts are not represented as static nodes in a hierarchical system.
Library in a smartphone: necessity or redundancy?

Digital information technologies’ rapid development over the recent decade has made the smartphone an integral part of the modern user’s life, turning this gadget into a means for instant information acquisition anywhere and anytime, therefore, library, as one of its most important sources, strives to use mobile technologies as efficiently as possible in the process of providing information to users, including by creating adapted versions of websites for smartphones or mobile applications. The purpose of the work is to determine, basing on domestic and foreign sources, as well as data from the Internet sites where mobile applications are presented, which software products meet the needs of library users, what their peculiarity and advantages and disadvantages are like. The absence of detailed domestic studies based on usability testing, which could have provided more complete information about the requirements for library mobile applications, is noted. The basic criteria used to form the first idea of the value of the presented product as well as the tools allowing to collect more detailed information about its applicability are listed. Based on the selected 35 applications, a list of options that are most popular with developers has been composed, and on the app stores, that provide information about user ratings and reviews, functions that are significant for users have been identified. The paper supports the idea that the development of a mobile application cannot be considered an obligatory requirement, it is noted that when planning its creation, the library should take into account a number of objective factors, for example, the availability of sufficient resources, valuable content, as well as social, educational and gender characteristics of its target audience.
Correction to “Fractal Reconstruction of Microscopic Rough Surface for Soot Layer during Ceramic Filtration Based On Weierstrass–Mandelbrot Function”

ADVERTISEMENT RETURN TO ISSUEPREVAddition/CorrectionNEXTORIGINAL ARTICLEThis notice is a correctionCorrection to “Fractal Reconstruction of Microscopic Rough Surface for Soot Layer during Ceramic Filtration Based On Weierstrass–Mandelbrot Function”Wei Zhang*Wei ZhangMore by Wei Zhanghttp://orcid.org/0000-0002-6243-626X, Cheng LuCheng LuMore by Cheng Lu, Pengfei DongPengfei DongMore by Pengfei Dong, Yiwei FangYiwei FangMore by Yiwei Fang, Yanshan Yin*Yanshan YinMore by Yanshan Yinhttp://orcid.org/0000-0002-6756-5773, Zhangmao HuZhangmao HuMore by Zhangmao Hu, Huifang XuHuifang XuMore by Huifang Xu, and Min RuanMin RuanMore by Min RuanCite this: Ind. Eng. Chem. Res. 2019, 58, 17, 7416Publication Date (Web):April 22, 2019Publication History Published online22 April 2019Published inissue 1 May 2019https://doi.org/10.1021/acs.iecr.9b01814Copyright © 2019 American Chemical SocietyRIGHTS & PERMISSIONSArticle Views409Altmetric-Citations-LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (207 KB) Get e-Alerts Get e-Alerts
|Vol. 6| No. 1|Year 2019

Edukasi: Jurnal Pendidikan dan Pengajaran provides a vital forum for exchanging ideas in order to enrich the theories and practices of English education in Indonesia and across the globe. The journal focuses, but not limited to, on the following topics: English language teaching, language teaching and learning, language teaching methodologies, pedagogical techniques, teaching and curricular practices, curriculum development and teaching methods, program, syllabus, and materials design, second and foreign language teaching and learning, language education, teacher education and professional development, teacher training, cross-cultural studies, bilingual and multilingual education, translation, language teaching for specific purposes, new technologies in language teaching, and testing and evaluation. It provides an academic platform for teachers, lecturers, and researchers to contribute innovative work in the field.
Implementasi Algoritma K-Means untuk Klasterisasi Peserta Olimpiade Sains Nasional Tingkat SMA

The abundance of students causes student data in the system to also be abundant. Schools often find it difficult to manage large amounts of data manually, especially in selecting National Science Olympiad participants and decisions made are less effective. So this research was conducted with the aim of helping the school in selecting OSN participants appropriately and effectively. The method used is Clustering with K-Means algorithm on the report card grades of students majoring in Natural Sciences at SMA Negeri 5 Sijunjung. The results in this study get 3 clusters of students on the selection of OSN participants, namely students who are Very Competent, Competent and Less Competent. This research can be used as a benchmark used by schools in making decisions on the selection of OSN participants.
Linking human factors to corporate strategy with cognitive mapping techniques

For human factors (HF) to avoid being considered of “side-car” status, it needs to be positioned within the organization in such a way that it affects business strategies and their implementation. Tools are needed to support this effort. This paper explores the feasibility of applying a technique from operational research called cognitive mapping to link HF to corporate strategy. Using a single case study, a cognitive map is drawn to reveal the complex relationships between human factors and achieving an organization’s strategic goals. Analysis of the map for central concepts and reinforcing loops enhances understanding that can lead to discrete initiatives to facilitate integration of HF. It is recommended that this technique be used with senior managers to understand the organizations` strategic goals and enhance understanding of the potential for HF to contribute to the strategic goals
DESIGNING A DOCTORAL PROGRAM IN CYBERSECURITY FOR WORKING PROFESSIONALS

Cybersecurity is an emerging and fast-growing field, and there has been a large and increasing demand for cybersecurity experts, leaders and college faculty with advanced education.Doctoral education is expected to produce advanced researchers and leaders in various areas, and working professionals are a significant part of doctoral student population, who prefer online education to accommodate their busy work schedules.Doctoral program curriculum, courses and learning activities should be designed to support and achieve the course learning outcomes, program objectives as well as educational and professional goals for students.This paper proposes a doctoral curriculum design model and a new Ph.D. program in Cybersecurity for working professionals using the case of a private non-profit university in northeastern United States.The program proposal presents the doctoral program and curriculum design based on the proposed design model and survey findings among working professionals for doctoral education in Cybersecurity, discusses key components of the curriculum design and examines their value and relationships to the goals and objectives of doctoral education.
A Multi-Scale Layer-Channel Attention Network for Image Super-Resolution

Recently, image super-resolution (SR) methods widely employ deep convolutional neural networks (CNNs) to improve the performance of reconstructed images through extracting informative features. However, the most of existing SR networks ignore the interdependencies among layers from different modules, which might hinder the further improvement of representational ability. In this paper, a newly designed multi-scale layer-channel attention network (MSLCAN) is proposed for single image super resolution (SISR) task. Our contributions are twofold. First, the layer-channel attention module (LCAM) can adaptively emphasize the correlations among different channels and interrelationships among multi-scale layers. Second, the multi-scale feature extraction module (MSFEM) effectively extracts adequate image information and enhances network ability of feature representation. In the experiments on five standard benchmarks, we have observed that our MSLCAN outperforms other SISR methods on quantitative and perceptual quality.
An Effective feature set in Quality Estimation of Natural Scene Statistics Images

Quality estimation in images is an area which demands high attention of researchers. Many recent algorithms in Image quality assessment relies on the computation of definite values from the image or comparison with the original pristine image. Here, we propose the extraction of a set of specific features from image and processing is done on these extracted features to obtain the objective quality score. The detailed inspection of behaviour of this set of highly specific image features extracted through less complex mathematical procedure from a collection good quality and low quality set of Natural Scene Statistics images available in LIVE dataset is elaborated in this work. Our studies and results are compared with the subjective opinion value and is proven to be accurate. The obtained results are demonstrated using statistical and graphical manner for promptness in understanding the nature of quality of the image. Thus the proposed feature set is proven to be complete in assessing the quantitative quality value of any Natural image.
Trend Analysis of Cost Components in Select Pharmaceutical Companies

The purpose in this paper is to identify the cost components which are vital in consideration towards manufacturing especially in pharmaceutical companies. The manufacturing costs are significant in total expenses in pharmaceutical industry. In this study, a thorough investigation on the cost components and the trend in expenses and operating profit of pharma companies are studied, giving due regard to cost components to have understanding and to find out how they may differ among various types of pharma companies. The data published in the annual reports from 2009 to 2018 of top five pharmaceutical companies based on their annual revenues has been selected for further diagnosis. The analysis reveals that manufacturing costs are different for all the five companies. The study also reveals that there is a considerable indication that the companies are conscious on the much-needed health benefits to the society in the future at an affordable cost.
Enriched Particle Swarm Optimization Created By Varying Parameters for Optimization

Particle swarm optimization (PSO) is one of the most capable algorithms that reside to the swarm intelligence (SI) systems. Recently, it becomes very popular and renowned because of the easy implementation in complex/real life optimization problems. However, PSO has some observable drawbacks such as diversity maintenance, pre convergence and/or slow convergence speed. The ultimate success of PSO depends on the velocity update of the particles. Velocity has a significant dependence on its multiplied coefficient like inertia weight and acceleration factors. To increase the ability of PSO, this paper introduced an enriched PSO (namely ePSO), to solve hard optimization problems more precisely, efficiently and reliably. In ePSO novel gradually decreased inertia weight (as an alternative of a fixed constant value) and new gradually decreased and/or increased acceleration factors (meant for cognitive and social modules) is introduced. Proposed ePSO is used to solve four well known typical unconstrained benchmark functions and four complex unconstrained real life problems. The overall observation shows that proposed new algorithm ePSO is fitter than the compared algorithms significantly and statistically. Moreover, the convergence accuracy and speed of ePSO are also improved effectively.
Digital Video Signal According to ITU-BT.R.601 (CCIR 601)

Uncompressed digital video signals have been used for some time in television studios. Based on the original CCIR Standard CCIR 601, designated as IBU-BT.R601 today, this data signal is obtained as follows:
Quantum Computing using MAGIC with Trapped Atomic Ions

A programmable quantum computer based on trapped ions interacting via magnetic gradient induced coupling (MAGIC) together with elements for scaling quantum computing – transport of ions and a novel trap for 2D ion arrays – are reported.
Design of framework for ontological component retrieval from software component repositories

Modern component retrieval approaches are based on the context and domain of the software component in addition to using various classification and retrieval techniques like keyword search, attribute-based search and semantic search. This work proposes ontological retrieval framework for software components that makes the use of ontology for effective retrieval of components. Ontological component retrieval framework has been created to facilitate the users and developers to retrieve software components matching precisely to their needs. A well-framed set of queries ranging from little to specific knowledge about the component requirement has been used to validate the results.
Adaptive Steganography technique using DIDC Model

Digital media emergence has taken the world by storm, further with the growth of digital media also causes the high risk of security and it needs to be addressed. Data security is protecting the data, normally data protecting is parted into two category i.e. cryptography and stenography. Steganography provides the high-level security by hiding one data under the other; the data can be image, text or any other formats, image steganography is one of the highly research area and several researcher have proposed different technique. The main challenge in image steganography is to innocuous image without any suspicion, furthermore the existing steganography focuses only on minimizing the distortion function. In this paper, we aim to develop an adaptive steganography technique named DIDC, which is basically based on the DPEs that approaching the rate transformation bound under the Steganography algorithm. Furthermore, the DIDC is evaluated by considering the two feature set SRM and max SRMd2 and error detection rate as the parameter, the comparison analysis shows that DIDC model outperforms not only state-of-art but also existing NFM model. Further, we also plot the AUC and the observation suggest the remarkable result.
Development of seasonal solar radiation estimation models for Dokuz Eylul University campus area for controller of a two-axis solar tracker

In urban locations, it is generally hard to find enough spaces for solar power plants. However, micro-energy generation systems like solar trackers can be located even in crowded cities and becoming a significant technology in solar energy systems. In this study, the measured global solar radiation data for the research area, Tinaztepe/Izmir (38°22'15.3"N 27°12'28.5"E), were logged, then analysed using statistical methods and seasonal daily global solar radiation mathematical models of Tinaztepe/Izmir were developed. The results of these mathematical models give more precise daily average solar radiation value for Tinaztepe/Izmir than previous Izmir global solar radiation models.
P‐5.12: Training Multi‐scale Networks for Compression Artifacts Reduction

Present a multi‐scale neural network for compression artifacts reduction. The optimized structure and training procedure can lower the difficulty of convergence and speed up training. Experimental results show that our network outperforms other networks, and can remove complex noise in various sizes, generating cleaner images.
Are They Too Dynamic to Describe?

SUMMARY. Parks and Wang discussed the issues and challenges of cataloging integrating resources. They emphasized cataloging electronic resources such as Websites and databases. Using specific examples and citing cataloging rules and standards, the presenters looked at some of the problematic aspects of integrating resources, and suggested ways in which catalogers can use their judgment to describe the features of these dynamic materials. [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;https://www.HaworthPress.com&gt;]
Intelligent Content Conciser using Pointer Generated Network

The combination of best suited architecture and successful algorithm results in the increased nature of efficient learning among the end users. To increase the number of quality learner’s text summarization provides the best initiative among the readers and learners. As words and sentences comprise a document, document summarization finds diverse words with different sets of synonyms by performing training activity for the process. The S2S(Sequence to Sequence) training mechanism describes the embedding way of sentences and documents. The pointer generation enhances the new hybrid model for summary extraction. The proposed model implements attention mechanism and uses Recurrent Neural Network with LSTM cells at encoder and decoder. The working model focuses on many factors for summary extraction such as sentence/document similarity, repeatedness, indexing and sentence-context richness. It also keeps track of summarized text using coverage to avoid repetition.