Reviewerly/exHarmony huggingface dataset:
Hierarchical Semantic Relational Coverage Measure Based Web Document Clustering Using Semantic Ontology

The problem of web document clustering has been well studied. Web documents has been grouped based various features like textual, topical and semantic features. Number of approaches has been discussed earlier for the clustering of web documents. However the method does not produce promising results towards web document clustering. To overcome this, an efficient hierarchical semantic relational coverage based approach is presented in this paper. The method extracts the features of web document by preprocessing the document. The features extracted have been used to measure the semantic relational coverage measure in different levels. As the documents are grouped in a hierarchical manner, the method estimates the relational coverage measure in each level of the cluster. Based on the semantic relational measure at different level, the method estimates the topical semantic support measure. Using these two, the method computes the class weight. The estimated class weight has been used to perform document clustering. The proposed method improves the performance of document clustering and reduces the false classification ratio.
Efficient Kernel Template AES Algorithm to Minimize Power Consumption and Maximize Security in Low Power Application

Cryptography involved in offering of secure data by generation of secret key through encryption process. At present, almost every applications require security scheme due to increased threats. Low power applications are limited to power sources where incorporation of attacks leads to certain challenges in terms of reduced throughput, data loss and increased power consumption hence it is necessary to adopt effective security scheme for low power application. Generally, in power circuits advanced encryption standard (AES) is incorporated which is defined as S-box. This substitution box is designed by 2 transformations (i.e) inversing the multiplication part in Galois field directed with modified affine transformation. The limitation of S-Box is more time and power consumption. In this paper, proposed a kernel based AES scheme for improving the performance of low power application. The proposed Kernal approach uses logic gate design with cipher text operation. The Kernel -AES technique is implemented in CMOS devices with 45nm standard cell technology. Results obtained for proposed Kernel-AES approach provides reduced power consumption rate of 28.5A which is comparatively less than conventional AES technique.
Analyzing Wildland Fire Smoke Emissions Data Using Compositional Data Techniques

By conservation of mass, the mass of wildland fuel that is pyrolyzed and combusted must equal the mass of smoke emissions, residual char and ash. For a given set of conditions, these amounts are fixed. This places a constraint on smoke emissions data which violates key assumptions for many of the statistical methods ordinarily used to analyze these data such as linear regression, analysis of variance, and t-tests. These data are inherently multivariate, relative, and non-negative parts of a whole and are then characterized as so-called compositional data. This paper introduces the field of compositional data analysis to the biomass burning emissions community and provides examples of statistical treatment of emissions data. Measures and tests of proportionality, unlike ordinary correlation, allow one to coherently investigate associations between parts of the smoke composition. An alternative method based on compositional linear trends was applied to estimate trace gas composition over a range of combustion efficiency which reduced prediction error by 4 percent while avoiding use of modified combustion efficiency as if it were an independent variable. Use of log-ratio balances to create meaningful contrasts between compositional parts definitively stressed differences in smoke emissions from fuel types originating in the southeastern and southwestern U.S. Application of compositional statistical methods as an appropriate approach to account for the relative nature of data about the composition of smoke emissions and the atmosphere is recommended.
Computed Tomography Medical Image Compression using Conjugate Gradient

Image compression which is a subset of data compression plays a crucial task in medical field. The medical images like CT, MRI, PET scan and X-Ray imagery which is a huge data, should be compressed to facilitate storage capacity without losing its details to diagnose the patient correctly. Now a days artificial neural network is being widely researched in the field of image processing. This paper examines the performance of a feed forward artificial neural network with learning algorithm as conjugate gradient. Various update parameters are considered in conjugate gradient methodology. This work performs a comparison between Conjugate gradient technique and Gradient Descent algorithm. MSE and PSNR are used as quality metrics. The investigation is carried on CT scan of lower abdomen medical image.
S-box Construction Method Based on the Combination of Quantum Chaos and PWLCM Chaotic Map

For a security system built on symmetric-key cryptography algorithms, the substitution box (S-box) plays a crucial role to resist cryptanalysis. In this article, we incorporate quantum chaos and PWLCM chaotic map into a new method of S-box design. The secret key is transformed to generate a six tuple system parameter, which is involved in the generation process of chaotic sequences of two chaotic systems. The output of one chaotic system will disturb the parameters of another chaotic system in order to improve the complexity of encryption sequence. S-box is obtained by XOR operation of the output of two chaotic systems. Over the obtained 500 key-dependent S-boxes, we test the S-box cryptographical properties on bijection, nonlinearity, SAC, BIC, differential approximation probability, respectively. Performance comparison of proposed S-box with those chaos-based one in the literature has been made. The results show that the cryptographic characteristics of proposed S-box has met our design objectives and can be applied to data encryption, user authentication and system access control.
Authentication Attacks

Internet is known as an amazing stage that changes the manner in which we impart and perform business exchanges in current technology. It has now contacted each part of our lives alongside developing of fresher security dangers, prepared to set out towards the journey of destructions. Transmitted information level is turning out to be progressively significant particularly as associations that used to just be completed offline, for example, bank and business trades are presently being done online as Internet banking and electronic business trades, and harms because of such assaults will be more prominent. As expanding measures of individual information are surfacing on the Web, it is basic to stay careful about the dangers encompassing the ease with which our private details can be accessed and exploited. This is where terms like authentication come into picture.
pyUserCalc: A revised Jupyter notebook calculator for uranium-series disequilibria in basalts

Earth and Space Science Open Archive This work has been accepted for publication in Earth and Space Science. Version of RecordESSOAr is a venue for early communication or feedback before peer review. Data may be preliminary. Learn more about preprints. preprintOpen AccessYou are viewing an older version [v1]Go to new versionpyUserCalc: A revised Jupyter notebook calculator for uranium-series disequilibria in basaltsAuthorsLynne JElkinsiDMarcSpiegelmanSee all authors Lynne J ElkinsiDCorresponding Author• Submitting AuthorUniversity of Nebraska-LincolniDhttps://orcid.org/0000-0002-0903-7091view email addressThe email was not providedcopy email addressMarc SpiegelmanColumbia Universityview email addressThe email was not providedcopy email address
Vehicle Trajectory Data Publishing Mechanism Based on Differential Privacy

In recent years, the intelligent connected vehicle technology has been developing rapidly, which will vigorously promote the construction of smart city. Vehicle trajectory data is of great value for applications such as city services and data mining. However, it will greatly endanger the safety of participants if trajectory data is released unprotected. In this paper, we consider the velocity factor and propose Douglas Peucker with velocity trajectory compression algorithm (DPWV) to achieve trajectory compression with lower error. Then, a ω-trajectory perturbation mechanism based on differential privacy (ω-TPDP) is proposed to protect the sensitive information of trajectory data. Meanwhile, in order to balance the utility and privacy of trajectory data, a privacy budget allocation method is adopted based on the weight value and the risk coefficient of privacy leakage of the current location. Through theoretical analysis and experimental comparison, ω-TPDP can obtain commendable data availability under the premise of ensuring the privacy of trajectory.
Embracing the unknown by constructing an organizational cybersecurity strategy

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings This conceptual paper concentrates on ways in which organizations can strategically defend their intellectual capital-based value from malicious cyber attacks in the most efficient way. Managing knowledge to achieve this aim involves building a protection approach that's profoundly flexible so that it accommodates inevitable and unprecedented technological change, while also recognizing collaboratively that threats can enter a business from the connected systems of external partners. Originality/value The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.
Sets and Venn diagrams.

<title>Abstract</title> This chapter focuses on sets and Venn diagrams. Venn diagrams, also known as set diagrams, are commonly used to represent the overlap between sets. However, there is no in-built Venn diagram function in R so packages are used.
Graph Algorithms

Many programming problems can be solved by considering the situation as a graph and using an appropriate graph algorithm. In this chapter, we will learn the basics of graphs and a selection of important graph algorithms.
Résumés en Français

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation Résumés en Français. Am J Intellect Dev Disabil 1 May 2020; 125 (3): 243–244. doi: https://doi.org/10.1352/1944-7558-125.3.243 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest Search
IOTA ledger and IoT: A Secure Sustainable Infrastructure for the Construction Industry

The modern construction industry is all about connecting supply chains, workers and buildings. Internet of Things is one of the enabling technologies to provide more automation in this highly connected environment. However, more connectivity brings new opportunities but also more cyber-physical threats. In particular in relation to constrained IoT devices. Blockchain and decentralized identities can help to re-establish trust, improve security and develop new business models. Not all blockchains are equal and to guarantee the sustainability of the construction industry, any additional blockchain infrastructure needs to maintain a low carbon footprint. This talk will discuss the role of distributed ledgers (aka DLTs, aka blockchain) and in particular of the IOTA DLT in securing the connected construction industry and present some of the solutions and use cases currently being developed.
AUTOMATIC HEAD-MOVEMENT CONTROLLED WHEELCHAIR

This project is regarding the Motion controlled wheelchair for disabled. We are going to control motorized wheelchair using a head band having motion sensor and Arduino as controller. Problem: “often disabled who cannot walk find themselves being burden for their families or caretakers just for moving around the house. Disabled who are paralysed below head, who may not have functioning arms cannot control joystick controlled electric wheelchair.” This project is to solve their problem using a motion sensor to control their wheelchair. We are aiming towards building a more affordable, unique, low maintenance and available for all kind of head-controlled wheel chair.
Essay how the student poetry skills in Indonesian languange learning

Indonesian learning is the basis for other subject. Learning languange skills in elementary schools is very important. This is because elementary school student are the basis for instilling concepts including languange concepts.
KN95 Protective Masks

Biomedical Safety & Standards: December 01, 2020 - Volume 50 - Issue 21 - p 168 doi: 10.1097/01.BMSAS.0000723512.13020.18
Preface

This proceeding includes original and peer-reviewed research papers from 5th International Symposium on Resource Exploration and Environmental Science (REES 2021). Due to the current COVID-19 pandemic, REES 2021 was held ONLINE via Tencent Meeting/VooV Meeting on April 24-25, 2021. REES 2021 is organized by Wuhan University of Technology, co-organized by Wuhan University, Huazhong University of Science and Technology, Northeast Petroleum University, Research Center of Engineering and Science, sponsored by China Nonferrous Metals Group, Camel Battery Co., Ltd., Daye Nonferrous Metals, Chishun Chemical Co., Ltd. The REES conference is an annual conference, any delay will mean the interruption of academic exchanges. Therefore, the conference organizing committee requested that the conference be held as scheduled. The members of the conference organizing committee arranged the details of the conference at the Thai Jin Jiang International Hotel in Ordos. Due to the time difference, the number of overseas participants in this REES conference had decreased compared with previous conferences. The peak number of online participants in this conference was 330. With the collaboration of the members of the organizing committee, the software maintainers, and the conference participants, this 5 th REES was successfully held, and the conference organizing committee gained valuable experience in holding online meeting. More importantly, the overall technical quality of the conference was reduced by the way of virtual conference. And many scholars of geology and geography had joined our conference enthusiastically. REES conference series had gained respect in the scientific community. The organizing committees are very grateful indeed to the presence of Prof. S. Jiang who from China University of Geosciences, Prof. Y. Xiong from Wuhan University, and Prof. J. Xu from Northeast Petroleum University. We also wish to thank the plenary and invited speakers: Prof. Liu from East China University of Technology, Dr. Xu from Chongqing University, Dr. Song from Beijing Institute of Astronautical Systems Engineering, Dr. Ma from Peking University, etc. Hopefully, the next REES conference could exchange new ideas and application experiences face to face. List of Committees are available in this Pdf.
Adaptive quantization scheme for image compression based on human visual contrast sensitivity

Abstract We propose an adaptive quantization scheme for image compression based on human visual contrast sensitivity. The contrast sensitivity (CS) of different color attributes is measured by psychophysical experiments. The color dependent contrast sensitivity function (CSF) models including one lightness model, six chroma models and twelve hue models are established. According to the color attributes of each 8×8 sub-block of image, these models are used to calculate the corresponding CS. We use the CS of each sub-block to adaptively quantize the frequency spectrum coefficients of image. After adaptively quantizing, we set a threshold to make the high frequency coefficients zero to achieve image frequency domain compression. In order to evaluate the objective performance of the proposed scheme, peak signal-to-noise ratio (PSNR), universal image quality index (UQI), average structural similarity index (ASSIM), and visual information fidelity (VIF) of our scheme and other two methods are calculated. The psychophysical experiments with blurring, block and ringing artifacts as indicators are carried out to evaluate the visual quality of images compressed by different methods. The results show that the proposed scheme can effectively reduce the compression artifacts and improve the perceptual quality of images while maintaining the compression ratio.
Translation: Code-Mixed Language (Hinglish) to English

In a diverse country like India where most of the people are multilingual the use of the pure language is decreasing. Interpretation of such mixed language becomes easy for human but complex for machine. There are many machine learning models which are trained for pure language translation but there is a research gap in the field of code-mixed language translation. In order to bridge this gap, the paper presents a model which uses Hinglish as a standalone language to be translated into English. In this paper, we have discussed the algorithm, technique and limitation of our system.
Improving Short Story Writing Ability Using Experiential Learning Model for Class 11th Student of Smk Maarif Pringsewu during The Covid-19 Pandemic

Aims: One alternative to solving problems in improving writing skills in class XI students at Maarif Pringsewu Vocational School during the covid-19 pandemic is to implement an experience-based learning model. The purpose of this research is to improve students' ability to write short stories using experiential learning models during the Covid-19 pandemic.&#x0D; Study Design: This research is classroom action research (CAR) which is carried out in three cycles. The subjects in this study were class XI students of SMK Ma'arif Pringsewu, Pringsewu Regency as many as 21 students. The place of this research is SMK Ma'arif Pringsewu, Pringsewu Regency. In cycles I, II, and II the researchers applied the experiential learning model. The data collections technique in this study used observation, documentation and writing test. The analysis technique in this study used quantitative by distribution frequency. &#x0D; Results: The experiential learning model could improve students' ability to write short stories. The increase in students' ability to write short stories can be seen from the level of mastery of students who reach MPC 75 in learning to write short stories in the first cycle as many as 2 students (9.5%), in the second cycle students who reach MPC 75 increase by 13 students (61.9%) and in the third cycle, students who achieved MPC 75 increased by 19 students (90.5%) or had succeeded in achieving the expected target, which was &gt; 75% of the total number of students.
Animated Traveling Website – Animations in Website

There are many travelling websites in our technical world. We are using many websites for travelling to find best place and also use the website to get the tickets. We are having many websites for the travelling but here we are creating an animated website. In our website “FOX TRAVELLER”, we add many animations which attract the users to visit our website. We are creating this website for only travelling and ticket booking purpose. Here in our website, we add all the places of India, also we highlight the famous places in our website which attract the peoples to visit our site and places. In our website we also add the famous places of the world. Whole website will be fully animated with different-different animations.
IoT Advertising System using LED Dynamic Message Sign (DMS) and Mobile Application

LED display boards are an effective tool for disseminating information. The popular LED advertising display boards broadcast only non-modifiable information with static text or animation. This work proposes configurable Dynamic Message Signs (DMS) using an LED matrix to make the advertising display more profitable by taking advantage of IoT technologies. The proposed system is called NS-Connect and is managed from an Android application. The luminescent electronic display of the DMS is made of LEDs with high luminous efficiency. The message processing unit incorporates a Bluetooth module that exchanges messages with the Android device and a microcontroller for text display management. The mobile application is designed with several features concerning text edition and display settings, including scrolling speed, brightness, and font choice. This technological innovation reduces the costs of awareness-raising activities or marketing and communication campaigns on major themes such as COVID-19, climate change, or civic engagement.
PECULIARITIES OF ICT APPLICATION IN THE PROCESS OF PEDAGOGICAL ACTIVITY OF COLLEGE TEACHERS

PECULIARITIES OF ICT APPLICATION IN THE PROCESS OF PEDAGOGICAL ACTIVITY OF COLLEGE TEACHERS Akhmetova Assel Kuttybayevna special subject teacher, Uralsk Technological College &quot;Service&quot;, Kazakhstan, Uralsk Abilova Lazzat Alibekov
Revisiting the impact of digital literacy on the healthcare employee’s performance: Evidence of the multiple mediating effects

The objective of the study to investigate the impact of digital literacy on the healthcare employee’s performance. The used study theoretical network approach to conceptualize the topic from review of the previous studies whereas, a quantitative deductive cross sectional survey was employed for primary data administering 07 point scales from HEIs in Pakistan. Pilot study was conducted to establish the reliability and validity of scales inter alia determining the sample size, i.e. 163. The study found significant t-value for TDL while for rest of the group’s ADL, UDL, and EX, it was found insignificant. This study discloses partial mediation by ADL between TDL, UDL and TDL between ADL and UDL. The relation of TDL &amp; EP was insignificant. Full mediation was found for TDL on relationship between UDL and EP. The study also reveals full mediation for ADL for UDL and EP while no mediating effect of UDL was found for ADL and EP. Out of seven mediation models, three emerged with full mediation while three were rejected because of insignificance. One model did partial mediation. The findings suggest the use of customization of digital technology in accordance with the native conditions.
[RETRACTED] TrimLabs Keto Reviews: Does Trim Labs Keto Burn Work? [Alert] Research Revealed! v1

[RETRACTED] "TrimLabs Keto Reviews
The design and production by additive manufacturing: case of face shields / O projeto e a produção por manufatura aditiva: caso dos protetores faciais.

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) quickly reached a global pandemic status in 2020 creating a huge demand for personal protective and medical equipment. Additive manufacturing, in this context, became a solution to alleviate the demands of the healthcare sector. This article presents how lean manufacturing approaches and Design for Additive Manufacturing (DfAM) helped to implement an additive manufacturing line for face shields production. The methodological approach was action research, in which undergraduate and graduate students, professionals, and researchers joined forces to produce and deliver 27,000 face shields. The article contributes towards the implementation of additive manufacturing for small batches production of product final parts and offers content for future discussions regarding production digitization.