Reviewerly/exHarmony huggingface dataset:
Websites of IITs, IIMs and NITs: A Webometrics Study

This article is about Webometrics study of Websites of IITs, IIMs and NITs from India. The scope of this study is limited to the 59 websites of the IITs, IIMs and NITs. This study is based on the methodology used by Cybermetrics lab of Spain to evaluate website of the higher education institution from the all over the world. By applying that methodology, researcher has collected data related to Size (S), Visibility (V), Rich Files (RF) and Scholar (Sc) for the website of IITs, IIMs and NITs. Web Rank (WR) score for each IITs, IIMs and NITs is calculated by using formula used Cybermetrics lab of Spain. All 59 IITs, IIMs and NITs were ranked on the basis of Web Rank (WR) score. At the end of this article, some ways are also suggested for the improvement in ranking. Keywords: Webometrics, NITS, IITs, IIMs and NITs, Cybermetrics Lab etc. Cite this Article Nilesh H. Hande. Websites of IITs, IIMs and NITs: A Webometrics Study. Journal of Advancements in Library Sciences. 2019; 6(Special Issue 1): 351s–357s.
LibGuides: Earth, Atmospheric & Aquatic Science Collection: Command Line Search

A guide to all aspects of Earth, Atmospheric & Aquatic Science Collection including content, searching, and viewing results on the new ProQuest platform.
LibGuides: Environmental Science Collection: Basic Search

A guide to all aspects of Environmental Science Collection including content, searching, and viewing results on the new ProQuest platform.
Ergodic Hypothesis of Consciousness

A hypothesis that explains the action principle of consciousness on the base of extremely simple mathematical model of a plane wave is suggested. The doctrine of reincarnation of consciousness in the physical world is indicated as a consequence of the mathematical property of the cyclicity of a complex number. Based on the consideration of the notion of a Vibration the zonal structure of the world nearest to human perception is shown. An interpretation of the attraction and repulsion forces origin, effects of dark matter, dark energy, levitation, teleportation, the law of karma, as well as Heisenberg uncertainty principle in terms of interacting vibrations are given. The work will be interesting to everyone who is looking for the answer to the question: What is the essence of consciousness?.
Delineating the Cloud Journey

There are a number of noteworthy improvements and improvisations in the fields of information and communication technology (ICT) in the recent past. These continuous and consistent advancements have a direct and decisive impact on business offerings, operations, and outputs. Worldwide business enterprises, service providers, product vendors, government organizations, academic institutions, etc. are being sagaciously and strategically empowered through the distinct ICT capabilities. Especially, the role and responsibility of information technology (IT) is consistently on the rise for producing and sustaining next-generation business establishments. Precisely speaking, business acceleration and augmentation get fluently fulfilled through IT. Therefore, IT is being widely pronounced and presented as the best enabler of businesses. All kinds of business needs such as agility, affordability, adaptivity, customer propensity and delight, business productivity and expansion, etc. are being provided and performed through the growing list of innovations in the enigmatic IT domain. Cloud computing is the recent phenomenon in the IT domain bringing forth a number of crucial innovations, disruptions, and transformations for businesses and people. The cloud idea has permeated deeply and decisively and is being touted as the one-stop IT solution for all kinds of business needs. The cloud journey started a decade back and is steadily growing to bring in desired automation for businesses. This chapter is specially allocated for conveying the humble beginning, the sustained growth of the cloud idea, and the benefits for institutions, individuals, and innovators.
Performance Evaluation of Universities and Colleges based on Method of Principal Component Analysis and Data Envelopment Analysis

The implementation of performance evaluation on higher education is beneficial to optimize resource allocation and to promote sustainable development of higher education. It is challenging how to establish a scientific model of performance evaluation on universities and colleges objectively. This paper proposes a method of performance evaluation based on Data Envelopment Analysis with dimension reduction of performance evaluation indicators based on Principal Component Analysis. An automatic system is developed, implementing the method and analysing data from universities and colleges in Shanghai. It provides advice and guidance for performance evaluation, and establishes foundation for higher education development strategy.
Teleporting a trapped-ion quantum gate

Quantum PhysicsGating—controlling the state of one qubit conditioned on the state of another—is a key procedure in all quantum information processors. As the scale of quantum processors increases, the qubits will need to interact over larger and larger distances, which presents an experimental challenge in solid-state architectures. Wan et al. implemented the 20-year-old theoretical proposal of quantum gate teleportation that allows separated qubits to interact effectively. They deterministically teleported a controlled-NOT gate between two computational qubits in spatially separated zones in a segmented ion trap, demonstrating a feasible route toward scalable quantum information processors.Science , this issue p. [875][1] [1]: /lookup/doi/10.1126/science.aaw9415
"невидимое действо": закадровая роль звукового ландшафта и интертекстуальности в операх "Асперн" и "перепела в саркофаге" Сальваторе Шаррино

The article is devoted to the early operas of the modern Italian composer Salvatore Sciarrino Aspern and Cailles en sarcophagi. Sciarrino, recognized by right as a classic of the late 20th — early 21st century music, authored by many instrumental works, also created a considerable number of operas that survived many productions and became repertoire. A distinctive feature of the opera work of Sciarrino is that the composer shifts the focus from the external attributes of the action to the area of the inner world of the characters, revealed through a complex sound palette. Shifting the emphasis towards the dominant role of the sound landscape, the composer creates his own special genre of musical theater “invisible performance with music”.
Pengaruh Penggunaan Media Audio Visual dan Motivasi Terhadap Kemampuan Menganalisis Siswa Kelas VII Mts N Sungai Beremas Kecamatan Koto Balingka Kabupaten Pasaman Barat

Abstract This study aims to describe: (1) the difference between the ability to analyze students taught through audio visual media and students taught with conventional VII grade MTsN Sungai Beremas models, (2) the difference between analyzing abilities of students who have high learning motivation who are taught using media audio visual with students who have high learning motivation students who are taught using the conventional VII grade MTsN Sungai Beremas model, (3) the difference between the ability to analyze students who have low learning motivation who are taught to use audio visual media with students who have low learning motivation conventional class VII MTsN Sungai Beremas, (4) interaction between the use of audio-visual media and learning motivation towards the ability to analyze class VII MTsN Sungai Beremas. The theories used are Nurgiyantoro (2010) and Priyatni (2013), Arsyad (2015), and Kompri (2015). This research is quantitative research, the method used is experiment. The study design was a 2x2 factorial anava design. The study population was all seventh grade students, totaling 47 people. The sampling technique uses simple random sampling, namely class VIIA as the experimental class and class VIIB control class. The data analysis technique used the t test and anava using the SPSS version 18 program.The results of the study show the following. (1) There is a significant difference between the ability to analyze students taught through audio visual media and students taught through conventional models, namely tcount> ttable (5,685 > 2,021). (2) There is a significant difference between the ability to analyze students who have high learning motivation who are taught to use audio visual media and students who have high learning motivation who are taught using conventional models, namely tcount> ttable (3,559 > 2,074). (3) There is a significant difference between the ability to analyze students who have low learning motivation who are taught to use audio-visual media with students who have low learning motivation taught by using conventional models namely tcount> ttable (4,796 > 2,080). (4) There is no interaction between audio visual media and learning motivation towards the ability to analyze the short story structure, namely Fcount <Ftable (0,001 < 4,06). Thus, there is the influence of the use of audio-visual media and motivation on the analytical ability of class VII students of MTsN Sungai Beremas, Koto Balingka District, West Pasaman Regency. Keywords: Listening, analyzing ability, motivation, audio visual media
Demonstration: Predicting Distributions of Service Metrics

The ability to predict conditional distributions of service metrics is key to understanding end-to-end service behavior. From conditional distributions, other metrics can be derived, such as expected values and quantiles, which are essential for assessing SLA conformance. Our demonstrator predicts conditional distributions and derived metrics estimation in realtime, using infrastructure measurements. The distributions are modeled as Gaussian mixtures whose parameters are estimated using a mixture density network. The predictions are produced for a Video-on-Demand service that runs on a testbed at KTH.
LibGuides: Agricultural Science Collection: Command Line Search

A guide to all aspects of Agricultural Science Collection including content, searching, and viewing results on the new ProQuest platform.
High performance text indexing and applications in life sciences

Large corpura of texts or of sequences serve as references and are interrogated through web site or programming interfaces. In life sciences, new sequencing technologies have revolutionised the acquisition of genomic sequences and triggered an exponential accumulation of reference sequences in international, public databases. Several kinds of text queries form the basic operation of programs that analyse genomic sequences. For instance, the webserver of EMBL-EBI receives 27 million queries a day. A typical sequencing experiment yields a hundred million sequencing reads-about 150 nucleotides long-each of which needs to be compared to a reference genome. To analyse such data or to mine public sequence repositories demands very efficient programs and algorithms. Only, the use of complex and specific, indexing data structures allows us to match the needs of Life sciences communities. I will present some indexing data structures that enables high performance computational analyses in genomics, and mention their pracical applications. Beyond text data, such data structures can be adapted to index other types of discrete data like trees or graphs. This will be key for the development of computational pan-genomics.
Проблема определения феномена мудрости в психологической науке

The article analyzes the definitions of the phenomenon of wisdom existing in foreign psychology. It is shown that there is a significant similarity between them in the used subcomponents. The author’s understanding and definition of wisdom is offered. The problem of methods of studying wisdom is touched upon.
Research on English Teaching Model of JiTT in Higher Vocational College Based on Mobile Teaching Assistant

Just-in-Time Teaching (JiTT), translated as "Timely Teaching", is a new kind of teaching and learning strategy that appeared in American college in the late 20th century.In recent years, JiTT has been gradually applied in higher vocational education.The specific research content of the project is taking "JiTT" as a kind of teaching mode change, taking the advantage of mobile information resources as well as teaching assistants, giving students a strong control over the autonomous learning.Students can watch videos before or in class by mobile teaching assistants, through teaching guidance and technical tools for self-organization of inquiry-based learning, through group discussion and teacher answering questions in class to internalize knowledge, and they are encouraged to collaborate with other students in learning.In building a learning environment, teachers should also consider how to supervise students' learning behavior and provide timely feedback to students who have problems.In the course of classroom teaching, teachers should rearrange the traditional classroom, break the pattern of "teachers in the upper and students in the lower ", and create a harmonious and equal learning environment.This model has great inspiration for the English teaching in higher vocational colleges.
Combination of Two Fully Convolutional Neural Networks for Robust Binarization

To be able to process historical documents, it is often required to first binarize the image (background and foreground separation) before applying the processing itself. Historical documents are challenging to binarize because of the numerous degradations they suffer such as bleed-through, illuminations, background degradations or ink drops. We present in this paper a new approach to tackle this task by a combination of two neural networks. Recently, the DIBCO binarization competition has seen a growing interest in the use of supervised methods to binarize challenging images. Inspired by the winner of the DIBCO 17 competition, which uses a fully convolutional neural network (FCN), we propose a combination of two FCNs to obtain better performance. While the two FCNs have the same architecture, they are trained on different representations of the input image. The first one uses downscaled image to capture the global context and the object locations. The second one works on patches of native resolution to help defining precisely the boundaries of the characters by capturing the local context. The final prediction is obtained by combining the results of the two FCNs. We show in the experiments that this strategy provides better results and outperforms the winner of the DIBCO17 competition.
CONFABULATION BASE INFREQUENT WEIGHTED ITEMSET MINING USING FREQUENT PATTERN GROWTH

High utility itemset mining (HUIM) has emerged as an important research topic in data mining, with applications to retail-market data analysis, stock market prediction, and recommender systems, etc. However there are very few empirical studies that systematically compare the performance of state-of-the-art HUIM algorithms. In this paper, we present an experimental evaluation on major HUIM algorithms, using real world and synthetic datasets to evaluate their performance. Our experiments show that EFIM and d2HUP are generally the top two performers in running time, while EFIM also consumes the least memory in most cases. In order to compare these two algorithms in depth, we use another synthetic datasets with varying parameters so as to study the influence of the related parameters, in particular the number of transactions, the number of distinct items and average transaction length, on the running time and memory consumption of EFIM and d2HUP. In this work, we demonstrate that, d2HUP is more efficient than EFIM under low minimum utility values and with large sparse datasets, in terms of running time; although EFIM is the fastest in dense real datasets, it is among the slowest algorithms in sparse datasets. Suggest that, when a dataset is very sparse or the average transaction length is large, and running time is favoured over memory consumption, d2HUP should be chosen. Finally, compare d2HUP and EFIM with two newest algorithms, HUI -Miner and ULB-Miner, and find these two algorithms have moderate performance. This work has reference value for researchers and practitioners when choosing the most appropriate HUIM algorithm for their specific applications.
Mapping the Information Flows for the Architecture of a Nationwide Situation Awareness System : (Poster)

A nation-level situation awareness (SA) system will facilitate the making of right decisions by serving the decision-makers with the information they need. In this paper, we show how the mapping of information flows between governmental institutions allows us to develop such a SA system and continuously improve it by optimizing the movements of information. To this end, we propose a systematization method for the various kinds of information flows, and explain how it helps to reduce their perceived heterogeneity.
Detection of Political Manipulation through Unsupervised Learning

Political campaigns circulate manipulative opinions in online communities to implant false beliefs and eventually win elections.Not only is this type of manipulation unfair, it also has long-lasting negative impacts on people's lives.Existing tools detect political manipulation based on a supervised classifier, which is accurate when trained with large labeled data.However, preparing this data becomes an excessive burden and must be repeated often to reflect changing manipulation tactics.We propose a practical detection system that requires moderate groundwork to achieve a sufficient level of accuracy.The proposed system groups opinions with similar properties into clusters, and then labels a few opinions from each cluster to build a classifier.It also models each opinion with features deduced from raw data with no additional processing.To validate the system, we collected over a million opinions during three nation-wide campaigns in South Korea.The system reduced groundwork from 200K to nearly 200 labeling tasks, and correctly identified over 90% of manipulative opinions.The system also effectively identified transitions in manipulative tactics over time.We suggest that online communities perform periodic audits using the proposed system to highlight manipulative opinions and emerging tactics.
Proxy driven data upload and Remote Integrity checking using MD5 Algorithm.

In today’s modern world internet has became an important source of information. Various methods or techniques are invented to extract useful information from the internet and one of the important field is Computing. It is the most reliable computing platform in these modern era .These clouds are used for storage purpose and various other purposes. Though it provides storage the data on the clouds needs to be safe and that’s why encryption is needed .The data from the cloud server should be checked whether it is being uploaded or it is downloaded. There are various threats like data stealing , data altering , etc. due to such type of threats “Proxy-Oriented Data Uploading and Remote Data Integrity Checking in Public Cloud is taken under consideration. Cryptographic Proxy Oriented Data uploading secures the internal and external environment by avoiding the data from a invalid source. Though cloud services may be popular but due to high security the data which was uploaded from a illegal source or from a unauthorized user will be restricted. To counter this user can update their proxy or modify them and do the uploading task. The existing system cannot counter such type , so for this purpose the proposed system is to be taken under consideration .It does not provide access to unauthorized users . Proxy alteration makes it easier for the attackers to steal the data or to inject malwares into the cloud environment . The integrity of data also plays important role in data security . The proposed system checks the integrity of the data without actually downloading the actual data . Unlike other systems, data is to be downloaded and checked the integrity, this system does it remotely.
A New Encoding Framework for Predicate Encryption with Non-linear Structures in Prime Order Groups

We present a new encoding framework for predicate encryption (PE) in prime order groups. Our framework captures a broader range of adaptively secure PE schemes by allowing PE schemes to have more flexible (i.e., non-linear) structures. The existing works dealing with adaptively secure PE schemes in prime order groups require strict structural restrictions on PE schemes. In particular, the exponents of public keys and master secret keys of the PE schemes, which are referred to as common variables, must be linear. In this paper, we introduce a modular approach which includes non-linear common variables in PE schemes. First, we formalize non-linear structures by improving Attrapadung’s pair encoding framework (Eurocrypt’14). Then, we provide a generic compiler that incorporates encodings under our framework to PE schemes in prime order groups. Notably, we prove the security of our compiler by introducing a new technique that decomposes common variables into two types and makes one of them shared between semi-functional and normal spaces on processes of the dual system encryption. As instances of our new framework, we introduce new attribute-based encryption schemes supporting non-monotone access structures, namely non-monotonic ABE. Our new schemes are adaptively secure in prime order groups and have either short ciphertexts (in the case of KP-ABE) or short keys (in the case of CP-ABE).
Securing Public Health Record using Attribute Based Encryption for Data Storage in Cloud

Cloud Computing has been increasing in popularity over the past couple of years. There has been extensive use of various software’s and applications with the cloud platform acting as the backbone for these activities. As more and more organizations and individuals make use of the Cloud platform, the data warehouses that support the platform are heavily strained. Therefore, these warehouses are staffed full of employees that handle the cloud, this leads to the data of the cloud to be open to attackers and also the people working there. Therefore, the security of the data on the cloud is imperative, to this end, this paper proposes a model for an attribute-based encryption technique in which the public and secret key are generated from the hash key based on the user profile’s personal attributes, randomly. The random characters are essential for the generation of the private and public keys. The reverse cipher algorithm also increases the security of the model by enabling stronger encryption.
PEMBELAJARAN MENULIS KARANGAN ARGUMENTASI MENGGUNAKAN METODE GUIDE INQUIRI

This research is based on the low ability of students in writing an essay of argumentation on the high school level. The ability to write is important in education, because by writing students easily pour ideas, feelings, and change the form of sounds that are heard into papers. Learning writing emphasizes students to be able to describe a variety of ideas, ideas, feelings, opinions, or thoughts. This study uses a guided inquiry method. Through the method of guided inquiry students are strived to maximize learning to make an argumentation essay. Before conducting research, researchers prepare to learn plans including the preparation of syllabi and RPP. In the preparation of the RPP, there are several parts, the components that must be fulfilled such as identity, competency standards, basic Competencies, and so on. Significant differences in outcomes from the use of Guide inquiry method between before and after in Harapan Baru high school students in Bekasi. From an average of 67.4 initial tests to 75.7 in the final test.