Reviewerly/exHarmony huggingface dataset:
Hardwater Parka

<p class="MsoNormal" style="margin: 0in; font-size: 12pt; font-family: Calibri, sans-serif; color: rgb(0, 0, 0);"><span style="font-family: &quot;Times New Roman&quot;, serif;">Ice fishermen face cold temperatures, blustery winds and cannot produce enough heat metabolically due to their stationary position to stay warm (Zhang, 2002). Thermoregulatory comfort is key to fishermen, so they can stay out on the ice and enjoy their sport. It is essential to have a shelter if one is planning to spend an extensive amount of time out on the ice. Current ice fishing shelters are so bulky they are often carried onto the ice via sled. The Hardwater Parka is a hybrid outerwear product that not only keeps the fisherman warm but provides a modular wind shelter that can be carried in unison. It consists of an 100% cotton canvas base, with cotton quilting for durability and insulation. It also has Yulex (non-neoprene) cuffs, and an insulated hood.&nbsp; The wind barriers are organic in shape and encapsulates the athlete protecting them from the harsh winds.</span>
Analysis of Pedal Operation in Posture of Look Back Using Car Driving Simulator with Head-mounted Display

Although the number of traffic accidents has been decreasing in recent years, the number of automobile accidents caused by pedal error has remained at a certain rate. However, the mechanism of the occurrence of such accidents has not been revealed. By using a driving simulator, it is possible to obtain driving behavior data related to pedal errors safely and efficiently, which may help to investigate the mechanism of these incidents. It is considered that an automobile driving simulator with head-mounted display can reproduce more realistic driving behaviors without any discomfort than a conventional simulator that presents images on a planar display. A head-mounted display with a head-tracking function enables the user to observe all directions of the field of view in response to the movement of the head, which results in a highly immersive image presentation. In this study, we analyzed the effects of changes in driving posture of look back on pedal operation, focusing on the accelerator and brake pedal operations.
The 1st International Conference on Computer, Science, Engineering and Technology

PREFACE It’s our great pleasure to welcome you to the 1st International Conference on Computer, Science, Engineering and Technology (ICComSET-2018), Tasikmalaya, West Java, Indonesia from 27-28 November 2018. The International Conference on Computer, Science, Engineering and Technology (ICComSET-2018), provides an excellent international forum for sharing knowledge and result in theory, methodology an applications of Computer, Science, Engineering and Technology in theoretical and practical aspects. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development. ICComSET-2018 secretariat has received 250 submissions from 6 countries: Malaysia, Taiwan, India, Mexico, Tunisia, and Indonesia. The new program held in the City of Tasikmalaya was organized by the Universitas Muhammadiyah Tasikmalaya (UMTAS) at Santika Hotel, Tasikmalaya from 27-28 November 2018, and supported by several universities including: STIKES Bakti Tunas Husada, Universitas Perjuangan Tasikmalaya, STIKES Muhammadiyah Ciamis, Universitas Muhammadiyah Sidoarjo, and Indonesian Collaboration Publication Community (Komunitas Kolaborasi Publikasi Indonesia/KO2PI). List of Conference Photograph, Program Committee, and Scientific Committees are available in this pdf.
An Efficient Image De-Blurring Technique Using Point Spread Function in High Definition Medical Image

Medical image-enhancing technology plays a significant role for processing and revealing discerning information from acquired images in many applications such as Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) which are frequently used for diagnosis and treatments in medical imaging.The clarity of these images become of great importance considering the details required to render diagnosis.The effects associated with blurred images in such applications is very challenging.The blurring effect is largely unavoidable due to the errors associated with capturing devices and natural motion in the human body.In this research, a method is proposed utilizing image blending approach to significantly reduce the effects of blur from an image through motion adaptive Point Spread Function (PSF).The proposed Efficient Image De-Blurring methods (EIDB) is realized using PSFs.And then get deblurred quality images from image de-blending image set in the alpha plane.
GUINEA: Protests Cripple Economy

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 57, Issue 1 p. 22863C-22864A Policy and Practice GUINEA: Protests Cripple Economy First published: 01 March 2020 https://doi.org/10.1111/j.1467-6346.2020.09340.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume57, Issue1March 2020Pages 22863C-22864A RelatedInformation
STUDY TO COMPARE THE CORRELATION BETWEEN MOKSHIT DIGITAL HEMOGLOBINOMETER AND KT6400 HEMATOLOGY ANALYZER FOR HEMOGLOBIN MEASUREMENT

Anemia is a major health concern in India since many decades and is continue to rise. Therefore, Hemoglobin measurement is performed in various Pathology labs, Hospitals, Blood Banks etc. to detect Technology. Different method are used for Hemoglobin measurement like Automated Hematology Analyzer, copper sulphate gravimetric method, Hemoglobin colour scale, HICN method, point of care Hemoglobin meter etc.
International Conference “Environmental Safety – Advanced Directions and Ways for Higher Education Development”: First Experience

The International Conference "Environmental Security - Current Directions and Prospects for Higher Education".
Enhanced K_way Method In APRIORI Algorithm for Mining the Association Rules Through Embedding SQL Commands

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.
GRO and WeGO - algorithmic approaches to integrate the heterogeneous databases and enhance the evaluation of ontology mapping systems in the semantic web

In the present day world, where information driven economy and information enhanced living standards rule everything, the sources of data from which the information is derived, are highly heterogeneous. The heterogeneity necessitates a mechanism for integrating data, before it is presented to the user. The internet and WWW are forming the backbone of information. Semantic web is an initiative in achieving the goal of 'machine processed information' being available to us than requiring human intelligence for processing information. This work is carried out to address the heterogeneity problem that exists among data sources and provides a solution through the application of ontology. Ontology is a conceptual tool for handling semantic heterogeneity. The algorithmic approach is adopted in the mapping solution system. The elements of ontology are compared and similarity analysis is carried out to arrive at the degree of matching of individual nodes as well as the ontology in totality for an ontology alignment.
An Innovative Recommender System for E-Commerce Websites using Natural Language Processing

A Recommender System has become the go-to application for the internet generation these days. Mono-variate, bi-variate and multi-variate Recommender Systems are available to consumers of various products and services for the last 10 years or so only. In this paper, opinion mining dependent sentiment analysis using NLP tools will be used to recommend products to their purchasers on e-commerce websites. The application can be developed on the Python platform can be commercially used and will be precisely used to people who have to spend money without traditionally touching or feeling the item.
An Improved Sunflower-Inspired Solar Tracking Strategy for Maximizing Photovoltaic Panel Power Generation

A previous study proposed a nature-inspired tracking strategy that mimics the solar tracking behavior of sunflowers driven by the light stimulus and the circadian clock. The approach delivered a good tracking performance with an average tracking error of 0.727° under clear, partly cloudy, and cloudy conditions. However, it incurred high tracking errors caused by false detection brought about by the abrupt changes in the amount of solar radiation during realignment. In addition, the scheme also maintained high stepper motor current consumption due to the use of a fixed stepping resolution. To address these issues, the previous tracking routine was modified to direct the search for the sun’s position to a range of calculated altitude angles where a fine-tuning process will be performed using current measurements and the adoption of a variable stepping resolution during panel reorientation. Experiments were conducted to measure the performance of the modifications in terms of tracking error, power generation, and stepper motor current consumption. A comparison of the performances between the previous and the modified approaches was done to assess the impact of the proposed improvement. The result of the comparison showed that the modifications significantly improved the overall tracking performance of the strategy.
On some ternary LCD codes

The main aim of this paper is to study LCD codes. Linear codes with complementary dual (LCD) are those codes which have their intersection with their dual code as {0}. In this paper we will give rather alternative proof of Massey’s theorem [8], which is one of the most important characterization of LCD codes. Let LCD[n, k]3 denote the maximum of possible values of d among [n, k,d] ternary LCD codes. In [4], authors have given upper bound on LCD[n, k]2 and extended this result for LCD[n, k]q, for any q, where q is some prime power. We will discuss cases when this bound is attained for q = 3 and see some new constructions of LCD codes.
Xylem and Cityzens Giving launch Water Heroes Academy

Xylem has teamed up with City Football Group's global foundation programme, Cityzens Giving, to empower a network of 100 young leaders to deliver projects that use football to provide vital water education to 5000 young people in five cities around the world.
Chapter 2: Everything Becomes Crypto

“Why blockchain?” is one of the most frequently asked questions. These and many other questions are answered in a simple and understandable way in this book about blockchain.
Exploring the Basic APIs, Part 1

The standard class library’s java.lang and other packages provide many basic APIs that can benefit your Android apps. For example, you can perform mathematics operations and manipulate strings.
Twitter Spam Detection using Pre-trained Model

In the age of technology social media platform is becoming a great companion for expressing the thoughts, information, and opinion. It became the powerful tool for every person who wants to expand their networks of people beyond the physical boundation. We are living at that age where various categories of social media platform available according to work needed, it may be Facebook, LinkedIn, WhatsApp or Twitter. We are focusing our work on Twitter, It is also known as microblogging site which provides service to express the opinion in limited words. As the popularity of twitter is growing day by day users are joining the platform very fast, as it happens another side many spammers are also taking undue advantages of this platform, for any social media platform it is very important to maintain the secure, safer and trustworthy environment for their legitimate users. Twitter spams are more harmful than e-mail spam because of their higher clickthrough rate, as in the social network if someone trusted some spam a genuine post than it is higher chance that the persons in the network might also trust on that spam post and may click on it. There are plenty of methods available to handle the task of twitter spam detection problem, we are solving this problem of twitter spam at tweet level.Pre-trained models are some breakthrough in the journey of machine learning and natural language processing after their advancement they are of great help. Here we are using Bidirectional Encoder Representation from Transformer (BERT) model to solve the problem as our task is to solve the problem of imbalance dataset as well as the multilingual dataset, BERT makes a clear distinction in this type of task, the main advantage of this type’s model is that we don’t have to collect millions of data for better performance of the machine learning model.
Technology of social adaptation of students of the I course of pedagogical higher education

This paper makes analyses of the technology of social adaptation of students. On this case, I year students of the higher education was discussed from different points. Theoretical and methodological points of the research were concluded from various points. Adaptation process and its technology were mentioned by different views of the researchers to make better developmental analyses in the further.
Algorithmic Efficiency

As a general rule, we want our algorithms to work as efficiently as possible, which usually means that we want them to quickly solve the problem they are designed for using as few resources, such as memory or disk space, as possible. This is just a rule of thumb, of course, since we also need to factor in programmer time. If you need a problem solved a month from now and you have an algorithm that can solve the problem in two weeks and takes one week to implement, that is preferable over an algorithm that can solve the problem in an hour but takes a month to implement.
Experiences in moving beyond traditional education

Khangeldieva The article is devoted to the problems of modern higher education, the current challenges of the digital revolution to leading university practices, its impact on the development of society and education in general. The author draws attention to three scenarios for the development of the future proposed by the Israeli researcher, J. Harrari (conservative, radical and superradical). The article presents the experience of the new alternative US university, which has no analogues in the world, is fully built on the basis of digital technology and conducts the educational process only in an online format. The university is positioned as one of the answers to the challenges to education by the digital revolution. The article analyzes the main features of the digital university-startup “Minerva”, reveals the reasons for its occurrence, the specifics of its development and functioning, determines both its positive 102 qualities and some problem areas, presents the logic of the educational process and educational technology, which the founders of the University of Minerva interpret as your own educational know how. An assumption is made about the multiplicity of options for future digital universities.
Geography in school: problems and prospects

The article discusses the position of geography in the school from the point of view of modern requirements for improving the quality of teaching the subject “Geography” in general education organizations. It is shown that the solution of this issue is largely determined by the priorities and tasks of the scientifc, technological and spatial development of the Russian Federation. The possible ways of solving these problems in teaching an academic subject in several directions are revealed. Among them are the improvement of the federal state educational standards of high school (GEF SOO), the implementation of the basic ideas of the Concept for the Development of Geographical Education in Russia, the preparation of a teacher of geography.
Data Access with SQLite and Data Binding

Data access in Xamarin apps often involves a local database and a remote data server accessed via web services. Local data access can be handled in many ways with many products, both open source and proprietary, but the most popular mobile database is SQLite, which is built into iOS and Android. Data can be queried from a SQLite database and manually populated into the UI, but a more sophisticated approach is to use data binding to transfer information automatically between the UI and your data models. In this chapter, you’ll learn how to employ SQLite in your Xamarin apps as well as how to use data binding in your Xamarin.Forms apps.
AN EXPLORATION IN FORENSIC EVIDENCE IN A CLOUD COMPUTING ENVIRONMENT

Cloud computing is the next step forward in Information Technology and has many advantages: resources are available on-demand, in real-time, and in some case will allow you to only pay for the resources that you actually use.There are also several disadvantages that must be considered: there are no standards for cloud deployments, cloud services can be proprietary, and the data is volatile, and the storage can be decentralized.As a result cloud computing has all of the strengths and vulnerabilities that are associated with the Internet.The best features of the cloud also represent the vulnerabilities and complications at the same time.Consequently, the cloud introduces significant challenges for forensic investigations; these include data ownership, multi-tenancy, collection logistics, legalities and jurisdictional complications, compliance with applicable regulations.This study will begin by conducting a review of the existing literature in cloud forensics and discuss the ramifications and impacts of conducting forensic investigations in a cloud-computing environment.Next the study will attempt to gather forensic evidence during an active penetration test that is being conducted on a cloud platform.The results will be gathered and reviewed to determine; what was found, the importance of the evidence, and the legal value that is retained from the gathered evidence.
Issues and Considerations for Effective Text Data Retrieval

Text data retrieval is one of the major domain for extracting knowledge from the stored data sets. Within the text information, the text meaningful numerical codes extracted unstructured process information is to make the free text associated with the unstructured nature of data mining in a different stream. Number of procedure is constructed to Performing this operations most effectively. This paper focuses one of the text retrieval process, experimental results verified proposed methods works well with most of the documents.
A Survey of Differentially Private Regression for Clinical and Epidemiological Research

In Ficek et al,1 the ‘element of’ (∈) symbol was mistakenly corrected to the ‘epsilon’ (ε) symbol throughout. The online version has been corrected. We apologize for this error.
Dehumanizing to Demonizing: Critical Discourse Analysis of George Bush’s Speeches for Exploring the Influence of Dehumanizing Metaphor in Political Discourse

To legitimize US invasion of Iraq, Bush fabricated fake intelligence reports, and depended solely on propaganda; he manipulated language in a well-calculated manner; most particularly, the metaphors chosen and devised for his speeches were such that convinced the US citizens about the legitimacy of the invasion, elicited financial support of the European allies and moral support of the majority of the world community. This research work used discourse analysis to study the metaphors that were used by George Bush in the speeches he made on 8 different occasions, and the theoretical framework used in it is the combination of critical discourse analysis CDA with postcolonial theory concept of orientalism.It utilized both qualitative and quantitative data collection tools.It found that most of the task was accomplished through the linguistic manipulation in the shape of metaphor used to dehumanize the enemy, which first made the US citizens feel as victims to the jealousy of rogue Muslim states for intending to completely annihilate them; then, it made appeal to their sense of justice, sense of security, and right to self-defense. By grouping the world citizens into Us and Them groups, the innocent, peace-loving and the war-mongers, the angels and the devils, and then by placing themselves and the rest of the world among the first group and placing the powerfulMuslims states among the second group, the US exploited the feelings and thoughts of all. Despite the UN and the rest of the world having come to know the sheer lies of the US now, the US still has managed to flog a dead horse and blind-fold majority of the world through this linguistic manipulation in the form of using dehumanizing metaphors
Deep Neural Network Design and Implementation for Predicting Malignancy of Cancer Tumors

Breast cancer is the most frequent cancer among women after lung cancer. It is second popular cause of death in the world. Breast cancer cells usually form a tumor (abnormal tissue).There are two types of breast cancer tumors: those that are non-cancerous, or ‘benign’, and those that are cancerous, which are ‘malignant’. Early detection of cancer tumors can prevent its mortality and can take respective precautions according to the type of cancer tumor (either it is benign or malignant). The main objective of this paper is to early diagnosis of the malignancy of cancer tumors which helps to decrease the death rate and helps to give more lives. The selection of suitable deep learning technique is a challenge for the diagnosis of breast cancer. So we created model for prediction of malignancy of cancer tumors using neural network to analyze risk levels that helps in prognosis. It is useful for a doctor to predict the stage of cancer and take respective precautions