Reviewerly/exHarmony huggingface dataset:
Item Analysis Using Rasch Model in Semester Final Exam Evaluation Study Subject in Physics Class X TKJ SMK Negeri 2 Manokwari

The purpose of this research is to item analyze in semester final exam evaluation using Raschmodel in terms of validity, reliability, and difficulty level study subject in physics class X TKJ SMK Negeri 2Manokwari. This research was a qualitative research that is evaluation of learning outcomes usingquantitative descriptive method with data collection techniques used documentation. The data of respondents44 students with the number of items 30 questions, obtained the result are the validity of the conformity levelof item 26 questions was fit and 4 questions not fit. The students reliability 0,37 is weak, the item reliability0,83 is good and the reliability between students with item 0,42 is bad. The difficult level of item general inthe medium category, the means is very good because it is not difficult and not easy. The conclusion itemanalysis using rasch model in semester final exam evaluation were valid, reliable, and the difficulty level ofitem is very good.
Comportamento informacional e sua contribuição para a construção de competências em informação: Uma análise dos estudantes em arquivologia da UFPB

With the advent of the informational expansion, the individuals acquire new informational needs, and, by identifying them, they proceed to behaviors that lead them to supply those needs.Therefore, the construction of knowledge, skills and attitudes, by the individual, in the informational field, may contribute to the use of the correct and necessary resources to effectively deal with their needs, solving their informational problems.
Platform Architecture

The architecture of platforms needs to be defined appropriately. There are implications of keeping the platform open or closed; as well as keeping it shared or proprietary. The building blocks of platform architecture (including platform sponsor, platform provider, and platform users) are introduced, and the design of open, closed, shared, and proprietary platforms is elaborated. A matrix of open–closed vs. shared–proprietary platforms and the resources/capabilities for each of these is also introduced.
Budgeting Lesson and Stories

SUMMARY. This half-day preconference included three presentations on library budget issues that affect serials. Nancy Slight-Gibney explained how the University of Oregon Libraries has modeled its serials budget in challenging times. Virginia Taffurelli described how the Science, Industry and Business Library of The New York Public Library approached its large budget cut and consequent cancellation project. Finally, Mary Iber told the story of Cornell College Library’s complete reassessment of all serials titles and how that worked to make the collection more responsive and relevant to the students and faculty. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-HAWORTH. E-mail address: &lt;docdelivery@haworthpress.com&gt; Website: &lt;https://www.HaworthPress.com&gt;]
Unifying the Concepts of Information: Methodological Solution

What are the appropriate concepts of information? This is an old issue, yet which has to be the No.1 and cannot be ignored in the study of information science. Diverse controversies and confusions in the studies of information are resulted from different understandings of the concept of information. This fact clearly indicates that the real root, which leads to the diversity of approaches, is due to the “divide and conquer” methodology. We suggest here a novel understanding of the concept of information. At first, a group of popular definitions of information are analyzed. Then, the system methodology is applied to the diversity of the definitions with the goal of unification. Based on this methodology, an ecological model for information is established and the systematic definitions of information are hence derived from this model.
Curriculum Approval Time Lag in Public Comprehensive Universities

Curriculum in higher education is critical to the life of a public university and the reputation of institutions is often based on the quality and innovation of the curriculum.This article describes curriculum approval practices from 19 comprehensive institutions across the Southeastern U.S. Curriculum approval practices were evaluated to determine similarities, differences and the time lag of internal curriculum
Multivariate Extension of the Singular Spectrum Analysis A New Tool in Understanding the Intraseasonal-Oscillation (ISO) of Philippines Summer Monsoon and its Association with Extreme Rainfall Events

&lt;p&gt;The intraseasonal low-frequency oscillation is studied by using gridded rainfall dataset from 1979 to present. Multivariate Singular Spectrum Analysis (SSA) was used in the extraction of these modes. We have found out that there is a significant increasing trend in the relative strength of low frequency ISO. However, this happened only after the years 1979 to 1984 was removed in the trend analysis. A previous study found that the increased rainfall during the break and transition phase of low-frequency ISO could be a contributing factor to the decreasing trend during the active phase. In this study, the implication is rather the opposite - the increasing trend in rainfall, in terms of extreme events occurrence during the active phase of low-frequency ISO had been the contributor to the increasing trend of low-frequency ISO.&lt;/p&gt;&#x0D;
A smart network and compute-aware Orchestrator to enhance QoS on cloud-based multimedia services

Rich-media applications deployed on cloud lead the use of the internet by people and organisations around the world. The advent of Software-Defined Networking (SDN), Networking Function Virtualisation (NFV), and Machine Learning (ML) techniques brings new possibilities to address carrier environment challenges, especially QoS. The literature does not show a smart and flexible solution that brings scalability with holistic management of network, compute, and application resources taking into account different approaches to enhance QoS. This paper presents the Orchestrator that manages agnostic network, compute, and applications resources hosted in the cloud. Through ML algorithms, our solution enhances QoS towards network resilience, bandwidth allocation based on real-time traffic, and end-to-end QoS mechanism to the event-driven scenario. The Orchestrator operation spans across different domains providing applications, virtual functions, and cloud resources management elastically. Our experimental evaluation in a large-scale testbed shows Orchestrator's capability to provide a smart jitter decrease using AI techniques.
Autoencoders

In the previous chapters, we covered feedforward NNs, CNNs, and RNNs. These networks are predominantly used for supervised learning tasks. In this chapter, we focus on autoencoders, a neural network architecture which is mainly used for unsupervised learning tasks.
Prediction of Adversary’s TTP using Caldera

Due to the ubiquity of the internet in all the lines of the disciplines, cyber security becomes essential in day to day life. To make the cyber assets resilient from the challenging attacks like Advanced Persistent Threats (APT), the experts needs a strategic rules and proactive decision-making models The Caldera is a adversarial emulator for both blue and red team to test the APT along with the cyber kill chain(CKC).The resilience could be achieved when the blue team and red team work together in analyzing the cyber threats based on the probabilistic of creating adversarial profile with different characteristic helps in finding the priority of the assets of the organization from the point of an adversary in launching the cyber -attack.
INTERNET OF THINGS IN HIGHER EDUCATION

There are several studies about the Internet of Things (IoT) in different areas, but just a few in the higher education area.The student-oriented higher education is traditionally still focused on face-to-face and/or online teaching and learning, mainly in the blended learning mode.The IoT platform in higher education is still in a very initial stage.Using new smart devices with a constant connection to the internet means a real difference to existing nondigital native professors and new generations of digital native students, resulting in important security and privacy issues at higher education institutions.IoT in higher education enables quick access to course videos and performs interactive responses in classrooms or anywhere, which will provide a multimedia learning environment, strengthen students' learning motivation, improve their attendance and enrich their learning experiences.The main potential of IoT is personalization of the teaching and learning process to support individual characteristics of both, professors and students, to improve the efficiency of teaching and learning.Furthermore, IoT can improve collaboration on group assignments, projects, improve student-centered approach, improve customized teaching and learning, enable smooth learning, and enable equality for diverse students and enhance their learning experience.The main purpose of this paper is to analyze and discuss the existing studies, recognize IoT main advantages and disadvantages and potential opportunities for implementing IoT applications in higher education.
Modified Jaya algorithm with chaos

A simple and new optimisation algorithm for solving constrained and unconstrained optimisation problems (Jaya) is a recently developed optimisation algorithm, which is a new optimisation algorithm designed to solve optimisation related problems, it has two random parameters in equations. In the study of this paper, we will introduce chaos into Jaya so as to increase non-repeatability and ergodicity for global optimisation. Here, four different chaotic maps are utilised to control random parameters in Jaya. The results show that some chaotic maps can outperform the random parameters in the high-dimensional function and the result of the two-dimensional function is almost the same.
New security approach-based Steganography and Cryptography by modified AES algorithm

The transmission of information through any channel of correspondence needs solid encryption procedures with the end goal of information security. The computerized watermarking assumes a significant part in inserting data into an advanced picture signal, for the check and character of its proprietors. In discrete wavelet change, "investigation channel bank" can be utilized for dissecting picture signals by going through. The channel bank comprises high and low pass channels at every deterioration stage. In this paper, a technique to consolidate steganography (Least Significant Method-LSM) and cryptography Advanced Encryption Standard (AES) is thought to give a safer method to information transmission through any unstable or public organizations. Prior to inserting the content in the picture, the text is scrambled utilizing AES calculation. Utilizing least significant bit (LSB) strategy, encoded the text installed in low-low (LL) subband wavelet decayed of a picture. Converse wavelet changes applied will lead to the output picture is communicated to the recipient. Presently at the collector's end, the picture changed utilizing wavelet and encoded text will be extricated by utilizing the LSB technique. This paper shows how AES calculation is utilized in the decoding of the outcome.
Recommendation of online Products Using Microblogging Information in Social Media

(Please read carefully abstract of the template). With the usage of social network like Facebook or Twitter sign-in’s as e-commerce sign-in where user are enabled to post on micro blogs linking to the e-commerce webpages, this mechanism has weakened the restrictions between e-commerce and social networking. A process of referring products to users of social networking by E-commerce sites in Cold-Start situations which is very rare is proposed where the question for knowledge isolation becomes the issue. This problem can be overcome by linking social networking and E-commerce pages as a bridge using features signs and information from neural networks adopting an improved ascent helping Tree method to move social networking users as user embedding’s. This can be done by employing a matrix factorization and trial done on Chinese micro-blogging service SINA WEIBO and Chinese B2C E-commerce website JINGDONG show that the proposed method is efficient.
Correction to: Contribution of a geostatistical model of electrical conductivity in the assessment of the water pollution index of the Quaternary aquifer of the Lake Chad basin (Kousseri-Cameroon)

The original version of this paper was published with error. There had been a mistake during figure replacement processing. Author provided Figure 8b replacement, but typesetter unintentionally replaced the entire Figure 8, failing to check that the figure has two panels “a” and “b”. Given in this article is the correct figure.
The status quo of the development of multidisciplinary and "double innovation" talent training models in the field of education in China

Based on the data from China HowNet, this paper uses citespace visual analysis software to draw a map of scientific knowledge in this research field. Through literature clustering and data analysis, the development status of the multi-disciplinary "double innovation" talent training model in my country’s education field is sorted out, and the new talent training model is sorted and summarized from the three perspectives of the country, enterprises, and universities.
Introduction to Volume 11, Issue 2 of <i>topi<scp>CS</scp></i>

This month's issue presents the topic Computational Approaches to Social Cognition, organized and edited by Topic Editors Fiery Cushman and Samuel Gershman, both of Harvard University. Regular readers of topiCS or of our sister journal, Cognitive Science, will feel at home with the computational approaches used in this set of papers and should be appreciative of their application to the study of social cognition. We remind our readers that, as always, our publisher, Wiley-Blackwell, allows us to offer the Topic Editors’ introduction to their topics to all of our readers as a free download. topiCS encourages letters and commentaries on all topics, and proposals for new topics. Letters are typically 400–1,000 words (maximum of two published pages) and will be published without abstract or references (possibly 1–2 but usually none). Commentaries are often solicited by Topic Editors prior to the publication of their topic. However, commentaries after publication are also considered and should range between 1,000 and 2,000 words. Most commentaries would not have an abstract and would not include many references. The Executive Editor and the Senior Editorial Board (SEB) members are constantly searching for new and exciting topics for topiCS. Feel free to open communications with a short note to the Executive Editor (wayne.gray.cogsci@gmail.com) or an SEB member (SEB members are listed under the Editorial Board heading on the publisher's homepage for topiCS at http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1756-8765/homepage/EditorialBoard.html).
Asymmetric Encryption

In Chapter 6 , we looked at symmetric encryption, which is a two-way encryption process that uses the same key for both encryption and decryption of your message. In this chapter we will continue our look at encryption by covering asymmetric encryption with RSA.
Proceedings of ‘FETP-ICON 2020’ Conference

detecting cases among contacts
Approximate Solution by Ant Colony Programming to Symmetrical Drop Suspended Equilibrium Equation

The paper presents the Ant Colony Programming (ACP) method as a solver for Differential Equations of a suspended symmetric drop. The Ant Colony method developed by Gambardella Dorigo in 1997 has been applied in Routing, Scheduling, Constraint Satisfaction, Graph Coloring, and such other optimization problems. The Differential Equation Solution can be expressed as an expression containing Terminals and Functions and both are represented as a graph with nodes and edges. In this graph, each node (city) represents a function or terminal, the information flow represents pheromone quantity disposed by ants while walking. An initial quantity of pheromone is disposed on links between nodes. After that and until termination criteria, ants construct solutions (paths) from the source to the destination by visiting nodes, and deposing (updating) pheromones quantity at links of the path. This is one of the advantages of Ant Colony Programming, i.e. the diversification by local pheromone update. The select step is fundamental, too. In this step, the ant reflects the performance of the link in the cost path according to fitness value. The simulation experiments show that Ant Colony Programming method can obtain very good results in finding solution.
Early adoption in an agile online teaching environment

The Covid-19 pandemic has blown through the Higher Education sector like a Schumpterian ‘gale of creative destruction’ (Schumpeter, 1934), accelerating the pace of change, disrupting entrenched pedagogical approaches, and revealing glimpses of the future of teaching. This study identifies how university-based early adopters responded to this ‘gale,’ successfully implementing the rapid change required to pivot to online teaching while addressing institutional requests to support the reluctant majority. Adopting an innovative interdisciplinary framework, this study advances understanding about the criticality of early-adopter behaviour in implementing change. The triggers, dynamics and impact of early-adopter behaviours are identified, as are the resultant implications for institutions for resourcing, recognising, and rewarding early adopters. The research design is underpinned by polyphony (Belova, 2010). Theoretical aspects from entrepreneurship (Stevenson, Roberts &amp; Grousebeck, 1989) and networked learning (Dohn, Cranmer, Sime, De Laat &amp; Ryberg, 2018) are also incorporated, relating early adopter behaviour to the entrepreneurial process in the context of virtual learning communities. This study uses vignettes from early adopters who have pivoted to online teaching in a university, identifying their experiences of instigating and supporting change. The findings highlight the facilitators of, and constraints on, early adopter behaviour, identifying the contextual characteristics necessary to challenge preconceived institutional notions and develop intrapreneurial mindsets that more readily support and implement early-adopter behaviours.
Information retrieval from multi-domain specific research proposal using hierarchical-based neural network clustering algorithm

Research project selection is an essential task for government and private agencies. When a huge number of research proposals are received, it is common to group them along with their similarities in research discipline areas. In this paper, a new framework is proposed to assign the proposal to reviewer and identify the proposal theme automatically. First, a list of multi word terms are extracted automatically from the domain specific corpus of text documents into a hierarchy based on their semantic similarity. Second, the proximity of two vectors can be calculated using measures such as probabilistic correlation. The conditional probability is used to model the probability that a term appear together in a record. Third, a hierarchical-based neural network clustering algorithm is used to get an information retrieval from multi-domain specific research proposal.
Evaluation of quality attributes of software design patterns using association rules

For the past decades, there were many analysing methods used which in turn to analyse only the views of a single stakeholder. The analysing progression facilitates us to guarantee the quality of overall design. By doing so there were many limitations that lead to critical situations in the development process. This work proposes to collect all the stakeholders' decisions in a single structural view, which expose the centric-view decision in an architectural design. It also used to deal with the disagreement in vision by examining it, with the premium software quality characteristic. The quality attributes are evaluated by association rules to improve the excellence of the software design. Association rules are implemented using R tool to get the support, confidence, lift and count values of each attribute along with its metric. The best quality attributes are chosen after managing the stakeholders' conflicts, since all the systems are designed due to the stakeholders' concerns. The best design patterns can be evaluated along with the distinguished attributes. These patterns are evaluated by fixing the basic principles of patterns based on their excellence.
Thoreau’s Indian Problem: Savagism, Indigeneity, and the Politics of Place

With “Thoreau’s Indian Problem: Savagism, Indigeneity and the Politics of Place,” John J. Kucich tackles an often-thorny knot: reconciling what many of Thoreau’s friends and compatriots called his “Indian wisdom” with his virtual silence concerning the large-scale dispossession and disenfranchisement of indigenous peoples across the United States. It remains an uncomfortable fact, Kucich points out, that despite Thoreau’s spending many unforgettable days with his Penobscot guides Joe Attean and Joe Polis, these experiences “did not lift him out of the orbit of savagism,” nor did they move him to call his nation and neighbors to account on indigenous people’s behalf, as he did with those who were enslaved. Yet all this notwithstanding, Kucich suggests that Thoreau’s larger project of becoming indigenous to place centered on “realizing the interconnectedness and reciprocity that extends to all members of the human world, and far beyond it.” In this sense, Thoreau did learn much from his Maine Woods guides, as well as from his extensive readings in Native American history. Kucich argues that ultimately, however, Thoreau’s project was a personal one; he was less interested in bringing “Native peoples into nineteenth-century American society” than in using “their cultural difference as a way to [personally] counter what he saw as its stultifying and damaging norms.”
Investigating Mechanisms to Increase Student Engagement in Higher Education Learning Environments: Testing Emerging and Immersive Technologies to Meet Teaching Needs

Based on the current research evidence on the effectiveness of lectures, it is possible to conclude that lectures can be of value, provided they are structured as interactive events and not periods consisting solely of presentations by the lecturer.With such a range of educational technologies available (including augmented and virtual reality), it is important to ensure that the appropriate digital tools are adopted.One of the key factors in this decision must be the views of staff and students.In this paper, a part of workshop-based research (involving teaching demonstration, direct interaction and feedback) about immersive technologies with staff and students (N = 33) from King's College London was presented.The findings have shown that participants had a wide variety of views about the use of augmented and virtual reality, as well as different needs regarding technological solutions in learning environments.Novelty of this research is demonstrated providing an overview of the landscape of pedagogical possibilities of immersive technologies using simplified didactic process maps.