Reviewerly/exHarmony huggingface dataset:
The Application of Web Data Mining Technology in E-commerce

With the rapid development of social science and technology in our country, more and more new technologies appear in people's lives, and gradually change people's way of life, such as: cloud computing technology, big data technology, Web data mining technology and so on.The big data era has been brought, data has become an important element in people's daily life, and the amount of data people process is increasing, how to deal with a large amount of data quickly and accurately, in a large number of data centers to find useful information, is the current people focus on thinking.From the point of view of e-commerce, this paper briefly analyzes Web data mining technology and its application points in e-commerce, and probes into the application path of Web data mining technology in e-commerce in depth.
Research on Classification Algorithm in Data Mining

With the continuous development of information technology and computer industry, data processing has become a top priority.We want to do a good job of data processing, it is necessary to apply to the data classification algorithm, which as a key technology in data mining can be a good job to complete the data processing.In this paper, by comparing several different data classification algorithms, to find their similarities and differences to further promote the data classification algorithm to lay the foundation
A Study on Epidemiology and Its Models

Epidemiology, the study of disease transmission is the review and analysis of the patterns, causes, and impacts of health and disease conditions in characterized population.In this paper we have presented a deep study about Epidemiology and it models since it is the foundation of human health.From this study it is clearly observed that in the literature there is no sufficient papers or works available related to epidemiology and very few papers have been published comparing to other research areas and out of that no paper presents an accurate model for calculating the disease transmission specifically about basic reproduction rate, and final size of the epidemic.Hence it is good to promote more number of researches in the future related to Epidemiology.
Computerized Segmentation Method For Breast Lesions on Ultrasound Images

In recent days, the machine learning techniques are comprehensively utilized in the field of identifying breast carcinoma. It is a vital driving reason for death for women everywhere throughout the world. Since the reasons for the infection stay obscure, early detection and analysis are the keys to breast cancer control, and it can expand the accomplishment of treatment, spare life and also reduce cost. Digital mammogram based on the depth of mammogram images to recognizing the masses. Mammography is a standout amongst the best tool that has been generally utilized in early identification for breast cancer. It comprises are four phases, they are pre-handling, division, order, and highlight extraction. ROI [region of interest] technique mainly used to identify the limit of a disease bit and measure its size.
Model Fitting

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Bitcoin Technology

In this chapter we will learn the basics of blockchain, addresses, transactions, and Bitcoin’s embedded scripting language. We will generate addresses, create transactions, and send them through the network to explore the inner workings of Bitcoin’s scripting engine.
RFDM- An Efficient Method for Video Tracking

Video tracking is a computer vision imperative task. Region-based, feature-based, deformable and model-based (RFDM) tracking algorithms are the four categories of Match-based video tracking type. This survey provides various techniques or methods to object detection, identification and recognition, more light on region-based tracking, dealing with occlusions and overlaps and insufficiencies in model-based tracking and contour model. Finally, various future studies have been recommended at the end of this paper.
Microdyn-Nadir forms partnership in India to distribute its products

Germany's Microdyn-Nadir GmbH, a supplier of membrane products, has established a distributor partnership in India covering its water and wastewater products.
Medical Image Classification Based on Curriculam Learning

With the emergence of large medical images and exceptional growth of diagnostic methods, categorizing them into respective class has always been a dominant topic in computer vision. Though the system seems ubiquitous, achieving higher accuracy rates for classification is critical. Semi-Supervised Learning (SSL) is better than supervised learning as it eliminates labeling all images thus reducing computational cost and time. Existing methods suffer from classification accuracy due to the presence of outliers in critical images. This paper is an attempt to apply SSL through Multi-Modal Curriculum Learning (MMCL) strategy over medical images. Through this, medical images can be categorized into normal and abnormal images. Experimental results demonstrate good accuracy for classification.
Internet Data

This chapter covers how to get and use data from the internet. It covers methods for parsing webpages and for how to treat different character encodings. It also treats parallel processing to a certain extent as it has real consequences when dealing with remote data.
MDR TB - When the Xpert Fails

Tuberculosis (TB) is a significant global health problem.Approximately 4% of all new TB cases, and 19% of all previously treated cases, are Rifampicin (RIF) resistant or multi-drug resistant (MDR).MDR TB strains are resistant to RIF and Isoniazid (INH).GeneXpert, a rapid molecular diagnostic test, can confirm the presence of TB DNA, as well as mutations associated with RIF resistance.However, there are a growing number of cases of MDR TB not being detected by GeneXpert.We present a case of MDR TB in a 35 year old South African doctor with a background history of asthma.On commencing employment in Ireland, routine occupational health screening revealed a positive interferon gamma release assay.Subsequent chest x-ray (CXR) showed a left upper lobe (LUL) opacity.The patient underwent bronchoscopy for broncho-alveolar lavage (BAL) which was smear negative for acid fast bacilli.TB was cultured at 22 days.GeneXpert analysis confirmed the presence of TB DNA, but no mutations associated with RIF resistance were detected.The patient subsequently developed dyspnoea, chest pain and fevers.CXR revealed a new left pleural effusion.The effusion was smear, GeneXpert and culture negative for TB.The patient was commenced on RIPE (RIF, INH, Pyrazinamide [PZA] and Ethambutol) and discharged home.Four weeks later, phenotypic sensitivities revealed INH and PZA resistance.Further genotypic and phenotypic sensitivity analysis is presented below.Subsequent whole genome sequencing detected the presence of the RpoB gene mutation, associated with RIF resistance.In accordance with ATS guidelines, the patient was commenced on a five drug regimen for MDR TB consisting of Moxifloxacin, Bedaquiline, Linezolid, Clofazimine and Cycloserine.Four weeks into therapy, extended drug sensitivity testing (DST) confirmed Bedaquiline resistance.The MDR TB strain present was further identified as carrying an RpoB I491F mutation.Bedaquiline was changed to Delamanid.Full DST has confirmed sensitivity to all other drugs in the regimen.This case highlights a number of important issues.It highlights the importance of occupational health screening.It demonstrates that GeneXpert testing does not identify all mutations associated with RIF resistance.The RpoB I491F mutation is one such mutation.In addition, a recent epidemiological study in Eswatini has shown a high correlation between this mutation and Bedaquiline and Clofazimine resistance.Methods to improve rapid molecular testing should be implemented to halt its' spread.In addition, we should remain cognisant of this strain when treating patients from endemic regions.(Patient's written consent was obtained)
A Novel Approach for Missing Value Replacement in MLP-RMSProp Based Classification Model

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Bibliographic Instruction: Building the Librarian/Faculty Partnership

The intent of this paper is to reinforce and demonstrate the necessity for: (1) integrating instruction into the research process; (2) achieving a balance between faculty, students, and the library to meet that goal. This goal can only be met by addressing a number of issues that have traditionally been associated with the instrinsic value of BI integration into a curriculum, the institution’s support for this move, and the attitudes of faculty and librarians toward BI, and the strengths which each can bring to the research process to benefit students.
"BN ANATOMY" AN INTERACTIVE AUGMENTED REALITY SYSTEM FOR LEARNING BONE ANATOMY

The study of bone anatomy has a great impact on the courses of health courses and brings a series of challenges, since books and other 2D materials cannot present all the details of these organs.In this paper, an interactive augmented reality system for teaching this field of science is presented.The system's usability was tested by a group of volunteers, containing students and health professionals, indicating the system's ability to motivate students to learn bone anatomy.
Intellectual Green Corridor for Crisis Wellbeing Transference

Traffic is a major concern for most of the metropolitan cities of the world. The design proposes a notion for Traffic Control System which is more imaginativethan currently existing schemes.The system automatically affords a distinctive lane in which entirely the red signal indication will be turned spontaneously to green intended for the ambulance. Subsequently this assists the ambulance instantly in reaching its destination within stint.In accumulation to the Traffic Control Scheme, wellbeing specialist care Scheme displays the patient long-suffering state of affairs resembling heartbeat, blood pressure. This system comprises of dedicated intellectual smart ambulance with GPS, GSM and smart mobile solicitation beside with Internet of Things (IoT).The patient’s state of affairs will be directed to the medical wingover cloud.The information of the patient is sent to the hospital via GSM module and blood bank gets information only if the condition is chosen as serious. The projected effort stays targeted to plan and progress an operative traffic control scheme for smart ambulance. The outcomes of the recommended traffic control model transports upright decline of time by clearing the traffic very fast and protect the patient’s lifespan at the most primitive.
A novel least squares twin parametric insensitive support vector regression

The recently proposed twin parametric insensitive support vector regression, denoted by TPISVR, gets perforce regression performance and is suitable for many cases, especially when the noise is heteroscedastic. However, in the TPISVR, it solves two dual quadratic programming problems (QPPs). Moreover, compared with support vector regression (SVR), TPISVR has at least four regularisation parameters that need regulating, which would affect its practical applications. In this paper, we increase the efficiency of TPISVR from two aspects. First, by introducing the least squares method, we propose a novel least squares twin parametric insensitive support vector regression, called LSTPISVR for short. LSTPISVR attempts to solve two modified primal problems of TPISVR, instead of two dual problems usually solved. Compared with the traditional solution method, LSTPISVR can improve the training speed without loss of generalisation. Second, a discrete binary particle swarm optimisation (BPSO) algorithm is introduced to do the parameter selection. Computational results on several synthetic as well as benchmark datasets confirm the great improvements on the training process of our LSTPISVR.
Rain

Sound and Silence used contemporary music as a creative stimulus for composing. This practice continues as part of many orchestral education programmes and in the use of set works within the General Certificate of Secondary Education music curriculum. The rich mix of the poetic and evocative idea of rain and the fun way of generating pitches/melody through a musical cryptogram make 14 Ways of Describing Rain an excellent starting point for creative musical activity. It offers lots of potential for learning and creative exploration and can be used with a range of different ages and experiences. One can imagine a very simple composition exercise in which children are invited to create a piece about rain, resulting in simple sound effect responses. This chapter describes the process of planning how to present 14 Ways of Describing Rain as a creative stimulus to a group of children aged 8—11 years old and the scaffolded process of the workshop itself.
Behold the Dreamers

Anxiety is perhaps the best way to describe the attitude that dominated the minds of investors and the general public concerning the financial markets toward the end of 2008. The 2008 financial crisis is considered by numerous economists to have been the worst financial crisis since the Great Depression. The years leading up to the crisis saw a flood of irresponsible mortgage lending and a massive systemic failure of financial regulation and supervision. The fallout was so immense that it threatened the collapse of large financial institutions, and national governments had to intercede to bail out the major banks. In this chapter, we will begin our discussion with an overview of the 2008 financial crisis and its aftermath: an environment where a new banking system and an alternative currency such as Bitcoin could thrive. Then, we will dive into the technology stack that powers Bitcoin. Remarkably, the components of this stack are not completely new, but have been integrated in a very intricate design to build a new system. Finally, we will end the discussion by talking about the heightened interest in blockchain, a major technical breakthrough that has the potential to revolutionize several industries. Imbolo Mbue wrote a book (Random House, 2017), which has the same name as this chapter, and tells the story of "dreamers" in New York City going through the financial crisis, and how their lives had changed as a result. This book chronicles the dreamers who envisioned building a more resilient financial system.
Multi Object and Dynamic Query Based CBIR System using DCT Incorporated with HOG and HTF

This work contributes multi object detection and dynamic query image based retrieval system. Generally, finding relevance and matching user expectations is very critical based on query key information and these results irrelevant responses which will produce low similarity index. Consequently, CBIR system took a major responsibility of identifying new objects, retrieving similar objects or contents based on multi query and dynamic keywords with improved recall and precision as per requirement of the users. At this juncture, Discrete Curvelet Transform with the incorporation of HOG and HTF based approach is proposed to handle commercial image, medical images and types of multi model images. This proposed approach mainly focuses on extracting scaled features for finding correlation among the query and database images. To start with the process, query image is decomposed into multi level sub images to extract set of texture features at two levels. These features are estimated by Gray Level Co-occurrence Matrix (GLCM) and HOG descriptor based techniques is adapted to find scaled vectors with reduced dimensionality. This method outperform compared as compared to existing method is authenticated from experimental results.
PROSPECTS FOR TRAINING STUDENTS IN TECHNICAL SPECIALTIES IN HIGHER EDUCATIONAL INSTITUTIONS OF RUSSIA

The article considers the issues connected with the use of internet technology services in the project activities of students of higher educational institutions.It characterizes the principles of implementing project activities, types of project-based learning, reveals its particular features.The authors distinguish such kinds of projects as foresight, social, technological, innovative, and investment ones.They define the groups of Internet services in accordance with their didactic functions and assignment in the educational process (services of administration and managing the learning processes, services of developing the content of the learning activity, services of provision and support of learning activity, communication and feedback services, information services).The article describes the possibilities of Internet technology services for project implementation at all stages of its lifecycle.
Warrnambool Exchange Fire — Resilience and Emergency Management

Effective emergency management of a disaster at a single point of failure is vital if the effects of the disaster are to be mitigated. The immediate impacts of a disaster highlight stakeholder perspectives. There is no one-size-fits-all solution to every disaster. Nevertheless, analysing features, aftermath, impact and interim services made available after a disaster provide lessons that can be utilised to avert or mitigate the effects of similar events in the future. This paper provides lessons learnt from a fire that occurred in 2012 in the Warrnambool telephone exchange located in Victoria, Australia and proposes a strategy that provides increased network resilience and more effective emergency management once the copper-based core switching in exchanges is progressively replaced by fibre service area modules.
Enhancing comprehensive reading skills: learning from metacognitive strategy

Reading comprehension is a significant aspect of students' gaining understanding through reading. Low achievements in reading comprehension have long been linked to a lack of motivation and strategies. This study attempted to implement a model of reading comprehension based on metacognitive learning strategies. This study involved the following stages: developing metacognitive learning strategies in reading comprehension practice, and testing the validity, practicality and effectiveness of the model. Observation, interviews, document analysis, and questionnaires were used for data collection, while interactive modelling, evaluative analysis, and comparative analysis were employed for data analysis. Prior to implementation, this model was tested in two schools. Two classes from these schools were selected for this study, one as the treatment group and the other as the control group. Students' reading comprehension skills were found to improve significantly after application of metacognitive learning strategies. The model demonstrated its validity, practicality, and effectiveness for helping students gain a deeper understanding of the text. The results could be applied in developing better methods for enhancing reading skills.
Message from the MSR 2021 Chairs

Welcome to the 18th International Conference on Mining Software Repositories (MSR), held on May 17 to 19, 2021 online, virtually co-located with the 43rd International Conference on Software Engineering (ICSE 2021).MSR is a thriving research community that organizes a yearly conference that has gained a solid reputation amongst software engineering researchers.MSR 2021 was originally planned to be held in Madrid, Spain in May 2021.The COVID-19 pandemic that has swept the world during the last year has forced the parent event organizers to cancel ICSE and hold it virtually.Similar to other co-located events, MSR decided to also move to a virtual format.This year, we received 196 submissions across the five paper tracks of the conference: the technical track, the data showcase, the mining challenge, the hackathon, and the registered reports track.For the fifth year in a row, MSR used double-blind reviewing in both the technical and mining challenge tracks to reduce reviewer bias and to ensure fairness in the review process.Due to the specific requirements of the tracks, the hackathon, data track, and the registered reports track followed a single-blind review model.Where possible, all MSR 2021 tracks encouraged Open Science policies to enable the sharing of tools and data for reviewers and fellow researchers.The technical track received 141 submissions (110 full and 31 short), pertaining to three paper categories: research, tool, and practice.After one desk rejection, 109 full papers and 31 short papers underwent our review process.We accepted a total of 48 out of 140 papers, with an overall acceptance rate of 34.3% across the technical track.By paper length, our acceptance rates are 38 out of 109 full papers (34.9%) and 10 out of 31 short papers (32.3%).All technical track submissions were reviewed by at least three members of the program committee.To further ensure the quality of the reviews and fairness of the final decision, we also continued with the leading reviewer model this year, where a fourth reviewer moderated the discussion and wrote a final meta-review for the paper.
Introduction to the 36th International Conference on Logic Programming Special Issue II

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Neural Networks

In the previous five chapters, you have discovered a number of supervised machine learning models, starting from linear regression to gradient boosting. In this chapter, you’ll discover Neural Networks (NNs).
Survey on Transaction Verification Model based on Blockchain Architecture

Similar to decentralized communication systems, a new technology called Blockchain (BC) has the potential to store and manage data in a decentralized manner. By removing the role of third party, all member in the chain has equal access to data. The concept BCT (Blockchain Technology) is not just limited to the cryptocurrencies, but it has been implemented in other areas like e-health, voting, finance, education, smart contract and even in Databases. This paper discusses various Blockchain applications and platforms and then compares these platforms on basis of different parameters. Despite of the advantages, Blockchain faces a significant issue of privacy. This paper examines various security related issues and challenges and presents an account of known possible attacks.