Reviewerly/exHarmony huggingface dataset:
An Improved Rumour Detection Block Chain Security Framework In Social Network

A blockchain is an interconnected chain of growing list of blocks. Blockchain technology is used in various domains such as crypto currency, financial services, risk management, internet of things (IoT) to public, social networks, etc. Block chain has various benefits such as decentralisation, persistency, privacy and auditability. In social networks there are various issues existing such as fake identities, no privacy, no security, exposing too much of information, spreading rumours, etc. Information that spreads across social networks can carry a lot of false claims. The development of online social networks along with the innovative media can even make rumour spreading more severe. Identifying rumour sources in social networks acting a significant task in limiting the damage caused by them through the timely quarantine of the sources. Additionally, identifying the rumour information in social network is a complex task. Therefore, this research paper proposed blockchain architecture for identifying rumours in social network using contract-based progression. This paper takes the initial step to recognise how the block chain technology can assist limit the spread of rumours.
Accelerating Boolean Visibility Operations Using RTX Visibility Masks

When inspecting or presenting detailed scenes, it is often necessary to clip away parts of the geometry to get a better view of the internals of a model. Although clipping can be performed directly on the geometry, this is a costly and complex operation, often preventing interactive visualizations. In this chapter we'll discuss how to accelerate complex Boolean visibility operations using the NVIDIA OptiX API. The method presented here does not require any preprocessing of the geometry and supports arbitrary Boolean clipping operations using arbitrary visibility shapes in real time. All ideas presented in this chapter apply equally well to the DirectX Raytracing and Vulkan Ray Tracing APIs.
The Megalyra Family of Instruments

Ivor Darreg is a writer, composer, theoretician, and instrument builder from Southern California. In his long and active life, he has done everything in his power to advance the cause of microtonality, broaden our musical horizons all around, and generally serve as a thorn in the side of the classical music establishment. This chapter presents the vital information on Darreg's Megalyra family of instruments and gives the thinking behind the designs. Three instrument types make up the family: the Megalyra, the Hobnailed Newel Post, and the Drone. All are steel-string instruments with electric guitar pickups. For the Megalyra Contrabass, there should be from three to five strings for the principal “courses” as some luthiers call groups of strings. The Megalyra strings should be one inch (2.5cm) above the board, allowing for striking them with wooden or metal bars, and for playing with mallets if the regular steel is used.
Students' Perception of Studying English at The Twelfth Grade Students SMN N 8 Jambi City.

This study aims to determine students' perceptions about learning English in the twelfth grade of senior high school 8 in the city of Jambi. This research is a qualitative phenomenological research. The data collection technique was obtained through interviews. The results showed that according to students learning English is very easy to understand if students want to learn to understand it, the interest of students of SMAN 8 Jambi city in receiving learning is also supported by learning support facilities such as books, English dictionaries, and other online English dictionary sites. In addition, the assignment given by the teacher also raises student perceptions. Good teacher interaction in delivering learning can also lead to student perceptions. In this case the teachers at SMAN 8 Kota Jambi always use two languages to interact with their students. Good interaction between students and teachers is also supported by student activities. In this case, students of SMAN 8 Jambi City are always actively asking their teachers and friends about learning English. As for its application in everyday life, due to the lack of students 'ability in English pronunciation, and the lack of students' vocabulary regarding English learning, students lack confidence to interact with other people in using English. Based on the research results, it can be concluded that according to students learning English is very easy. Students' interest in receiving learning is also supported by supporting facilities for learning English such as books and dictionaries. Teachers always use two languages to interact with their students in learning English, namely by mixing Indonesian. Students always actively ask teachers and friends about learning English that students do not know, and students do not apply English in their daily life due to lack of vocabulary and lack confidence in interacting with other people in using English.Keywords: Students' Perception, Studying English
PROBLEMATIKA PROSES PEMBELAJARAN BAHASA INDONESIA SECARA DARING PADA MASA COVID 19

As it is today, the world has been confronted with a problem that occurs that is the epidemic of the corona virus, known as Coronavirus Disease 2019 (Covid-19). The Indonesian Government through the Minister of Education and Culture (Mendikbud), Nadiem Anwar Makariem, has issued a circular number 4 of 2020 concerning the Implementation of Education in the Coronavirus Disease Emergency Period (Covid-19). The circular contains several technical issues related to the learning process that must be carried out by the academic community. One such policy is to emphasize the academic community to carry out learning online (online) with the aim of preventing the spread of the covid-19 virus. This study aims to find out what are the problems of the online learning process in Indonesian during the 19th period in MA Darussalam and how is the solution of the problem. This research approach uses a qualitative research approach with data collection techniques by interviewing informants related to this research. Data analysis techniques used are domain and taxonomy analysis techniques. The results showed that the problematic of the process of learning Indonesian online is the lack of infrastructure such as students not carrying a cellphone, time constraints, difficulty evaluating, prone to cheating in doing assignments, difficult signal, and lack of understanding of student guardians. The solution to the problem is the need for stakeholder support to contribute to the success of the online learning process. These stakeholders include teachers, parents, students, schools and government.
Unintended Consequences of E-Learning: Reflections on the Digital Transformation of Learning in Higher Education

The European Network on Regional Labour Market Monitoring publishes annual anthologies to gather perspectives from all over Europe and beyond on current topics related to regional and local labour markets. In the anthology of 2021, over 30 network members from ten countries reflect on the effects of the COVID-19 pandemic and state interventions or other measures in different localities and circumstances. They provide analyses on a variety of framework conditions of regional and local labour markets and their influence on the effects of the COVID-19 pandemic. Furthermore, the authors shed light on state interventions and other measures from a comparative perspective.
DETECT AND PREVENT THE MALICIOUS SOCIAL BOTS BASED ON CLICK STREAM SEQUENCE

In a recent survey ,we found that there is a great increase of malicious social bots which are spread on social media communication and it is very difficult for one to disseminate false information (e.g., fake news), and correct information in this real-world consequences. Hence it became very difficult to detect and removing malicious social bots in online social networks. If we come with the primitive detection methods, they used to analyze and detect the malicious social bots based on the quantitative features of their behavior.. Hence in this proposed application we try to identify the malicious bots which are present in the online social network communication by taking some set of pre-defined malicious bots into four categories like : Brutal,Vulgar,Sex And Detestation.Here in this proposed method we try to find out malicious social bots based on features selection as well as from the conversation which is done between individual users. If the conversation contain any of the words which are matched from the above categories then such conversation is immediately identified as malicious bots and such user is treated as malicious user and those details are recorded by the administrator.
Exercises in Composing

This part is designed primarily with composers in mind, yet while experience writing music would be helpful here, it is not absolutely required to enjoy doing these exercises. The exercises may be done by an individual alone, and they are also useable in a composition class, private lesson, theory seminar, or improvisation workshop. Part V opens with an essay about creativity in general that also explores ideas of truth and beauty in music. Beauty is not discussed in a mundane sense—not in the sense of prettiness or loveliness—but rather the concept of Beauty within music composition as it is embodied in the relation of the parts to the whole, a sense of proportion, and the aptness of technique to the idea expressed. This is followed by a series of exercises designed to inspire musical creativity. These involve a range of approaches, including: imitating models; channeling composers; creating alternatives to existing music; using spoken text as subtext for composition; stylistic juxtapositions and confrontations; altering parameters such as meter; rewriting pre-existing music; using structural analysis to create new music; cutting and pasting; group composing games; versions and variations of a phrase; deceptive endings, detours, and interruptions; and music based on physical manifestations of emotion discovered through acting.
INTEGRATION OF DIGITAL CERTIFICATES AND BLOCKCHAIN TIMESTAMPING TO PROVIDE A DIGITAL NOTARIZATION SERVICE

This paper aims to integrate digital certificates and blockchain technologies to cut red tape by developing an Android app that notarises digital documents. It is intended to solve the problem of increased demand to digitalise the Brazilian notarial system since internet access through smartphones has become ubiquitous in Brazil. Digital certificates provide a centralised know your customer (KYC) service through verification of a user's identity and proof of address, before issuing a digital certificate to a user. And blockchain provides a decentralised document timestamping service. Integration of digital certificates and blockchain assures authenticity of documents both in terms of identity through digital certificates and data integrity through blockchain timestamping.
Visualizing and Communicating Errors in Rendered Images

In rendering research and development, it is important to have a formalized way of visualizing and communicating how and where errors occur when rendering with a given algorithm. Such evaluation is often done by comparing the test image to a ground-truth reference image. We present a tool for doing this for both low and high dynamic range images. Our tool is based on a perception-motivated error metric, which computes an error map image. For high dynamic range images, it also computes a visualization of the exposures that may generate large errors.
AN IMPROVED TECHNIQUE FOR SOFTWARE COST ESTIMATIONS IN AGILE SOFTWARE DEVELOPMENT USING SOFT COMPUTING TECHNIQUES

The management & estimation of agile projects is stimulating works for many software companies for their high failure rates. To develop successful software projects. Proper prediction of projects overall effort & cost evaluation is a very important task. The numbers of development models over the last few decades have evolved through software projects. Hence, to complete an exact estimation of exertion & taken a toll for diverse program ventures which is based on distinctive improvement models are having innovative & new steps of software development is a significant task which is to be done. Software companies have adopted different various development models which are based on the organization and requirement of project. In this paper we proposed a COCOMO (Constructive Cost Model) for cost estimation of better software projects. Profit or loss estimation forecast to new project is carried out with the help of historical data of company. In the machine learning to predict forecast using historic data Naive Bayes algorithm plays vital role and provides great accuracy. To check the behavior of the proposed system here we have used the SEERA dataset. According to the result our proposed system gives the profit and loss forecast prediction with the accuracy of 86.59% and 24.80% respectively. And the overall effort calculation accuracy is higher, 95.06% in the contrast to the SVM, 93.45%.
Knowledge level of farmers about information and communication technology in Bikaner district of Rajasthan

Now a days new technologies introducing in agriculture and it reduce the role of man power. This era is informative and Information and communication technology (ICT) play vital role to create awareness globally about new technologies in every fields as well in as agriculture. ICTs can make agriculture more remunerative and a fruitful occupation by providing latest information. In this study, ICTs is operationalized as the use of communication tools like, WhatsApp group, SMS, Telephone helpline. It saves money, time and efforts and reduces dependency on so many factors in the chain of extension. In these present studies its found that Majority of respondents were having medium level of knowledge regarding ICT.
LIFELONG LEARNING – LLL – THE BASIS OF PERSONAL DEVELOPMENT

substantiated the relevance of lifelong learning, which plays an essential role in the process of personality development, contributes to adaptation to rapidly changing requirements in the professional environment and social changes in general. The role of lifelong education for the development of the individual and the realization of his potential, both professional and personal, is revealed.
Dog breed classification using convolution neural network

At present, there are numerous applications of machine learning that have been identified. The identification and recognition of the object is very popular and significant among them. This paper presents a model for dog breed classification using convolution neural network (CNN) that is a very popular model for image processing. In this work, a variant CNN model is used to classify different breeds of dogs which uses advanced filters to detect the patterns that exists within a given image and fixing randomised filter on an image to figure out the available patterns. The proposed model is constructed to calibrate the weights by associating data in front of the Xception model. The object identification task gets superhuman potential in the Xception model and it is trained over 15 millions of good resolution images with around 22,000 different object classifications. The experimental result reveals that the proposed model performs well in terms of accuracy, i.e., 98%.
Coronavirus pushes Amazon to prioritize essential household, medical supplies

Amazon is temporarily prioritizing some shipments over others as novel coronavirus cases peak in the U.S.
An Optimal Model for Interpersonal Communication in Command Hierarchy (Case study: Martyr Ghasem Soleimani)

Martyr Haj Ghasem Soleimani, at the level of a world manager, was able to establish, organize, and apply the Resistance Front with maximum efficiency and effectiveness. Investigations of his managerial dimensions, as a precious heritage left by him, can be considered as a model for continuing his path. This research is aimed at investigating Martyr Soleimani’s interpersonal communication pattern in his command hierarchy. The data collection involves a semi-structured interview with his close knowledgeable colleagues across the resistance front, including Iran, Iraq, Syria, Afghanistan and Lebanon. Theme analysis was employed for the analysis of the obtained information. The results revealed that the interpersonal relationship of Martyr Soleimani influenced by the position of individuals in the command hierarchy, covered a scope from determination and formality to intimacy and informality. The closer the colleagues were to Martyr Soleimani in the hierarchy of command, the more decisive and formal his behavior was, and the lower the ranks of the people, the more informal and sincere the Martyr's behavior became.
Development of Plastic Extruder for Environmental, Economic and Social Sustainability in Education Perspective

A plastic extruder is one of the machines highly use in the manufacturing industry. This project aims to develop a plastic extruder for sustainability. The plastic extruder is one of the          manufacturing topics in highest education. The machine is very costly to use for education. Besides, plastic waste is very critical for the environment. The purpose of creating this machine is to overcome this problem and at the same time to gain sustainability in living. The machine is create started by designing the extruder then fabricate the prototype. After fabrication is complete, test the machine, and the result of the outcome filament will be compared to existing filament such as 3D printer filament. The outcome of this project is following the sustainability pillar, which is an environment, economic and social.
Work with Your Public Information Officer

Researchers should understand who their public information officers (PIOs) are and what their level of expertise is. This understanding includes whether they are a marketing-oriented “sales rep” PIO or a more desirable PIO/journalist. PIOs in different institutions—academic, federal laboratory, government agency, and corporate—face different issues in terms of their institutional culture. There are many ways a PIO can help scientists with their communications needs, but a researcher needs to know how to assess their PIO in order to take advantage of that help. There are specific steps a researcher can take to help their PIO be maximally effective. The specific caveats researchers should be aware of when working with their PIO are, for example, in developing news releases, feature stories, and other content. There are also cautions to be observed when working with PIOs outside one’s institution.
Library & Cultural Services: Library Plugins: Home

Lean library allows quicker and easier access to library resource, helping you access the content you need.
Rapper Meek Mill becomes co-owner of Lids, announces new hat line

Anyone familiar with the works of Meek Mill already knows that he’s “a boss,” but now the rapper and activist is stretching his legs as an investor by becoming the co-owner of hat retailer Lids.
Multi-physical and Temporal Feature Based Self-correcting Approximation Model for Monocular 3D Volleyball Trajectory Analysis

Benefiting from the low venue requirements and deployment cost, analysis of 3D volleyball trajectory from monocular vision sensor is of important significance to volleyball game analysis and training assisting. Because of the monocular vision limitation, complicated ball trajectory caused by physical factors and model drifting owing to distance information loss are two governing challenges. This paper proposes a multi-physical factors and self-cor-recting trajectory approximation model. Also, a trajectory correction algorithm based on temporal motion features is proposed. For the first challenge, air resistance factor and gravity factor which mostly impact volleyball during flying are considered to simulate ball motion status. The approximation model parameters are evaluated and corrected during model calculating to reduce calculation error. To limiting model drifting, volleyball movement characteristics based on temporal motion feature is applied to correct approximated trajectory. The success rate of proposed monocular 3D trajectory approximation method achieves 82.5% which has 47.0% improvement comparing with conventional work.
Dehazing Effects on Image and Video using AHE, CLAHE and Dark Channel Prior

The image captured by camera is degraded by various atmospheric parameters for example rain, storm, wind, haze, snow. The removing haze is called dehazing, is naturally done in the physical degradation model that requires a resolution of an ill-posed inverse problem. In this paper discussion and e relative study of Adaptive Histogram Equalization (AHE) as well as Contrast limited adaptive histogram equalization (CLAHE) and dark channel prior (DCP). This article suggest image and video dehazing technique working on DCP method. The DCP is resulted from the characteristics of images taken in outdoor that the value of intensity inside the local window is nearly equal to zero. The DCP system has good haze elimination and color managing potential for the images with various angles of haze. The dehazing is done using following four major steps: atmospheric light estimation, transmission map estimation, transmission map refinement, and image reconstruction. This solution of four step DCP will give solution to ill-posed inverse problem. This dehazing techniques can be used in advanced driverless assisted systems in autonomous cars, satellite imaging, underwater imaging etc.
The Implementation of an Integrative Approach to Learning with the Use of Integrated Images

The article is dedicated to the definition of methodological conditions under which the use of the solution and research of the “task series” generated by a given task topic will acquire methodological expediency in the context of developing students' abilities to solve mathematical tasks of a productive nature. The authors suggested a possible way to solve it through the synthesis of integrated knowledge and the formation of the integrated images of the task topics that allowed students to develop knowledge and skills of integrative mathematical activity.
Arabic Biomedical Community Question Answering Based on Contextualized Embeddings

Community question answering has become increasingly important as they are practical for seeking and sharing information. Applying deep learning models often leads to good performance, but it requires an extensive amount of annotated data, a problem exacerbated for languages suffering a scarcity of resources. Contextualized language representation models have gained success due to promising results obtained on a wide array of downstream natural language processing tasks such as text classification, textual entailment, and paraphrase identification. This paper presents a novel approach by fine-tuning contextualized embeddings for a medical domain community question answering task. The authors propose an architecture combining two neural models powered by pre-trained contextual embeddings to learn a sentence representation and thereafter fine-tuned on the task to compute a score used for both ranking and classification. The experimental results on SemEval Task 3 CQA show that the model significantly outperforms the state-of-the-art models by almost 2% for the '16 edition and 1% for the '17 edition.