Reviewerly/exHarmony huggingface dataset:
Competency Profile of the Teaching Profession in Croatia After Initial Education

The teachers’ competence profile is in a constant discrepancy due to demands posed by life in the contemporary world of change. The base for the development of teachers’ professional competences is set during initial education, although professional qualifications continue to be developed further through internship, teaching practice and lifelong professional training. Teachers’ competences have to be expanded from traditional to new ones, such as the skill to diagnose pupils’ needs for learning, the ability to methodically designate the environment for active learning and the development of competences, the ability of critical deliberation about achieved work results and individual research with the aim to implement innovations in teaching, develop collaboration and organization skills and other competences necessary to the teacher who searches for his or her way, and is not only the realiser of other people’s ideas.This paper presents the results obtained by comparing teachers’ competences quoted in some teacher study curricula in Croatia (Universities of Pula, Rijeka and Zadar) as to determine if the description of competences implies a teacher who is the leader and animator of the learning process, the one ready for reflection and research, or it indicates a teacher who is the technical realiser of the curriculum.
Figshare: NWU case study

Presentation at the eResearch Conference ,17 April 2019 at UCT, session Figshare Fest.This case study is based on the Figshare pilot which the North-West University conducted in 2018.
Thermoelectric Properties of SrTiO3 and CaTiO3 Thin Films

This thesis studies the thermoelectric properties of SrTiO3 and CaTiO3 thin films. We study the effects of epitaxial strain and incorporated anionic/cationic defects on the functional properties of the thin films. Controlling the parameters during the fabrication process, determines the structural properties of the thin films, which permits the tailoring of the magnetotransport and thermoelectric properties of the thin films. We discuss the similarities in the behaviors observed in our thin films, to the ones reported in LaAlO3/SrTiO3, and other interfaces. We report a dramatic decrease in the thermal conductivity of the thin films due to epitaxial strain, point defects, and ferroelectricity. Moreover, we have observed that oxygen vacancy manipulation in CaTiO3 thin films reveals a ferroelectric-like response.
Magmatic control of gold mineralization in Western Primorye (by geophisical data)

An analysis of the regional gravitational field of the north-east of China, Korea and Western Primorye was carried out. The distribution of gold deposits was compared with the development of Mesozoic magmatism and negative anomalies of the gravitational field. Based on the analysis of geological, mineragenic, petrophysical and geophysical materials, geological and geophysical zoning of the western part of the Khanka massif was performed, and a scheme for interpreting geological and geophysical data with elements of minerageny was drawn up. A connection was established between the anomalies of the magnetic and gravitational fields and the position of the supposed gold-bearing ore regions and nodes located in the zone of joints of the North China Triassic-Jurassic volcanic-plutonic belt with the Proterozoic substrates of the Khanka massif. According to geophysical data, Early Jurassic intrusions were identified as, controlling the location of the gold nodes. It was concluded that the gold mineralization is related to the Jurassic magmatism, which increases the prospects for the discovery of gold mineralization in the Khanka district of the Western Primorye.
Pfeiffer Library: Cyber Security: Welcome

Resources in the field of Cyber Security Provides a description and table of contents of the guide.
Automatic Generation of Initial Reading Lists: Requirements and Solutions

Researchers who start delving into a new research area often resort to reading lists of scientific articles in order to familiarize themselves with the existing literature. Generally, these reading lists are manually built and recommended by experts. In this paper we tackle the problem of automatically generating these lists. We start by stating five requirements for a comprehensive initial reading list, four of which were previously proposed and one is a contribution of ours. We then assess the extent to which these requirements are redundant or complementary. By performing a correlation analysis on a large dataset, we find that the five requirements are indeed mostly conflicting, which suggests that simultaneously meeting all of them is a difficult task. We then perform an extensive set of experiments, comparing twenty-five different approaches to automatically generate initial reading lists, most of which are new proposals of ours which exploit learning to rank (L2R) and aggregation methods to combine multiple pieces of evidence and objectives. Our experimental results indicate that, though no method outperforms the others in all five requirements, our new L2R and aggregation methods significantly outperform the state-of-the-art when jointly considering all requirements. Moreover, we identify a subset of six new techniques which offer the best tradeoff (in a Pareto-efficient sense) across all five requirements.
The Distance Protection and the Pre-Fault Conditions

It is important that the behavior of the protections in the Power Electrical Systems (SEP), is extremely reliable, due to the high ABSTRACTIn the present time in the Electric System of Power, in occasions you continuous using the distance function ( 21) as main protection in transmission lines what is not correct since the distance protection is affected by multiple phenomena, say you oscillations of power, effect of the mutual induction among lines, pre-fault conditions that can take to an incorrect operation of the protection, as well as the inability of simultaneous shot in both ends of the line that it protects.In this work the results of the mathematical analysis of a system are presented with lines of 110 kw where the phenomena and difficulties are evidenced that introduce to the distance protection taking alone in bill the negative effect of the flaw resistance and the conditions that existed before the flaw, as well as their possible solutions which are not completely effective.
Research Guides: Research Impact Challenge: Day 8: The h-index (and other citation-based measures of impact)

This guide contains 10 activities for researchers to better understand and manage their online scholarly presence, as well as the impact and reach of their research.
Spring 2019 ORCID Member Town Hall Meeting (Americas)

Spring 2019 ORCIDMember Town Hall Meeting (Americas) was presented on May 30, 2019 byLaurel Haak (ORCID), Veronique Kiermer (PLOS), Daniel Hook (Digital Science), Alison Mitchell (Springer Nature) and members of the ORCID Engagement Team.
IT Policy on Policies

This policy defines how policies regarding information security are developed at Fordham University.
Class Side and Static Behaviour

Python classes can hold data and behaviour that is not part of an instance or object; instead they are part of the class.
Cross-Modal Transfer Hashing Based on Coherent Projection

Due to the low storage and high efficiency, cross-modal hashing drew more and more attention in recent years. However, most existing methods ignore the intrinsic distribution of raw features and the inheritance relationship between raw feature space and hash space. In this paper, we propose the transfer hashing based on coherent projection for large-scale cross-modal retrieval. It preserves the inherent correlation of intrinsic distribution among raw heterogeneous features via a linear cross-modal transfer. In addition, the coherent projection is applied to cooperate with the cross-modal transfer to inherit the correlation from raw features space to hash space straightly. Furthermore, the anchor graph with linear complexity is utilized to further explore the local structure of each modality. And the semantic information is also explored by regressing the semantic labels to hash space. Finally, the succinct iterative algorithm is used for discrete optimization, which avoids continuous relaxation and reduces quantization error. Extensive experiments on two large-scale datasets show that our method has superiority in retrieval performance.
Morality, Justice, and Peace: Insights from Henry David Thoreau

Morality, justice, and peace are the three main cornerstones related to life, living, functioning, and reform. These concepts are dynamic and need to be realigned periodically with changing contexts. This article attempts to explain Thoreau’s viewpoints on individualism, simplicity, reform, higher laws, principled living and relativity of everything, as applied to his articulations on morality, justice and peace.
Binomial logit regression and centralised agent stochastic optimisation for privacy preserved load balancing in cloud

Load balancing and privacy preservation of data plays an important role in cloud. Few research works have been designed to perform load balancing on cloud server but, performance was not improved. In order to overcome such limitation, a binomial logit privacy preserved load balancing (BLPPLB) technique is proposed. At first, the request is sent from user to cloud server. BLPPLB Technique carried out binomial logit authentication based on user behaviour on cloud. Then, BLPPLB technique finds the intruder attacks and authorised users in cloud. During data accessing process, load balancing is performed through selecting optimal server among multiple servers for each user requests based on objective function using centralised agent based stochastic local search to provide the requested services. The experimental result shows that the BLPPLB technique is able to increase the load balancing efficiency with higher data confidentiality when compared to state-of-the-art works.
Securing the Cloud for Big Data

This chapter explores how organizations can seek to secure a public cloud environment for use in big data operations. It begins by describing the challenges that cloud customers face when moving to the cloud, and proposes that these challenges can be summarized as a loss of control and visibility into the systems and controls around data. The chapter identifies thirteen areas where visibility and control can be lost, before progressing to highlight ten solutions to help regain these losses. It is proposed that planning is the most significant step a customer can take in ensuring a secure cloud for big data. Good planning will enable customers to know their data and pursue a risk-based approach to cloud security. The chapter provides insight into future research directions, highlighting research areas which hold the potential to further empower cloud customers in the medium to long term.
Extremal properties of flood-filling games

The problem of determining the number of flooding operations required to make a given coloured graph monochromatic in the one-player combinatorial game Flood-It has been studied extensively from an algorithmic point of view, but basic questions about the maximum number of moves that might be required in the worst case remain unanswered. We begin a systematic investigation of such questions, with the goal of determining, for a given graph, the maximum number of moves that may be required, taken over all possible colourings. We give several upper and lower bounds on this quantity for arbitrary graphs and show that all of the bounds are tight for trees; we also investigate how much the upper bounds can be improved if we restrict our attention to graphs with higher edge-density.
Sistem Pendukung Keputusan Menentukan Indukan Bandeng Menggunakan Metode SAW

Abstract Breeding fish diseases are undesirable for fish farmers, because it can cause not maximal harvest in fish. To overcome these obstacles then the farmers need a knowledge of disease information, symptoms, and handling for the disease to be a good parent. But the availability of information about fish diseases this causes difficulties in the handling and the way of treatment. Implementation of expert system with SAW method in determining the quality of milkfish to become one of solution / alternative.
Bayesian Variable Selection in Regression Models using The Laplace Approximation.

The Bayesian variable selection analysis is widely used as a new methodology in air quality control trials and generalized linear models. One of the important and, of course, controversial topics in this area is selection of prior distribution of unknown model parameters. The aim of this study is presenting a substitution for mixture of priors which besides preservation of beneﬁts and computational eﬃciencies obviate the available paradoxes and contradictions. In this research we pay attention to two points of view; empirical and fully Bayesian. Especially, a mixture of priors and its theoretical characteristics is introduced. Finally, the proposed model is illustrated with a real example.
CLARIN - Transcending Scientific Boundaries across SSH Research focusing on Parliamentary Data

CLARIN - Transcending Scientific Boundaries across SSH Research focusing on Parliamentary Data
On predicting individual video viewing experience: The value of user information

Experience prediction is one key component in today’s multimedia delivery. Knowing user’s viewing experience allows online video service providers (e.g., Netflix, YouTube) to create value for their customers by providing personalized content and service. However, individual experience prediction is a challenging problem since viewing experience (defined as Quality of Experience in this thesis) is a multifaceted quantity and it is rather personal and subjective. The existing methods for quantifying Quality of Experience (QoE) target at estimating how the video quality is perceived by users, neglecting the hedonic part of experience (the degree of enjoyment of a user watching a video). Quite naturally, these methods consider only factors related to video perceptual quality (purely from video), which is insufficient to properly assess viewing experience. The research reported in this thesis attempts for the first time at shifting the paradigm for perceptual quality modeling, towards measuring and predicting the level of enjoyable viewing experience a user has with a video. In particular, it focuses on exploiting the potential value of user factors (information from users) and investigate their influences on QoE prediction. The goal of this thesis is to develop a feasible method for predicting the individual viewing experiences in terms of perceptual quality and enjoyment by taking multiple influencing factors into account. Here, the influencing factors are taken from both video (e.g., related to perceptual quality) and user (user factors, e.g., interest. personality). We take three major steps to accomplish this goal. We first deploy a subjective experiment to understand the relationship between perceptual quality and enjoyment, and how their influencing factors form the final viewing experience. With a set of identified influencing factors, we then propose a new QoE prediction model which processes both user and video information to predict individual experience (i.e., either perceptual quality or enjoyment). We show that combining information from video and user enables better prediction performance as compared to only considering information from video related to perceptual quality. Our third step tackles the problem of reliable data collection for the individual QoE research. We developed an open-sourced Facebook application, named YouQ, as an experimental platform for automatic user information collection from social media while performing an online QoE subjective experiment. We show that YouQ can produce reliable results as compared to a controlled laboratory experiment, both in terms of QoE and of quantification of user factors and traits. As a result, a complete, feasible method for individual QoE prediction is presented in this thesis. Based on the findings presented in this thesis, we reflect on the contribution and make recommendations for future research directions, which we think are substantial and promising for individual QoE prediction.
APLIKASI PENERIMAAN KARYAWAN ONLINE DENGAN FITUR INFORMASI JADWAL TES DAN HASIL KELULUSAN

In the process of employee recruitment, generally begins with the application process in order to get applicant information so that the company can select employee candidates according to the needs of the company. This process has a long flow and involves prospective employees or applicants, the HRD (Human Resources Department) and the division of each part to carry out the process of information exchange or often called a PIC (Person in Charge). Some of the obstacles that are often experienced are applicant files that are often swapped, lost or scattered, providing timetable information and the results of test evaluations to expensive and uncertain applicants and coordination with slow parts of PIC makes it difficult for companies to get the best candidates and lose the opportunity to save money. Online employee admission applications are offered by researchers as a solution to solve the problem. Functionally the application created can store data and applicant files in the form of softcopy, provide notifications via e-mail, save test results, provide facilities for coordinating schedules and results of PIC evaluations and schedule response facilities. The non-functional system is able to maintain file security, has a graphical interface and is responsive and error handling. In this study used the development of a prototyping system while the Software development used was the Unified process, while the implementation device used the CodeIgniter framework, the programming language PHP and MySQL as the DBMS.
Efficient and Scalable Architectures for Persistent Memory Systems

Author(s): Ogleari, Matheus Almeida | Advisor(s): Zhao, Jishen; Miller, Ethan L | Abstract: Memory systems are evolving in a multitude of ways in state-of-the-art computer systems and in computer architecture. The changes range from the low-level underlying technology used to implement memory, to the high-level ways in which memory systems are structured and organized. These changes have tremendous implications on the fundamental performance of computer systems because of how integral a role memory plays in the design of these systems. Traditionally, the memory hierarchy has been the bottleneck for how well computer systems perform and the resources they consume. Computer architects face significant challenges in meeting the growing memory demands and efficiently integrating these new technologies. Computer architecture must adapt to these changes in a high-performance, cost-effective way. Modern problems require modern solutions. This thesis proposes efficient architecture solutions for two primary contemporary developments in memory: persistent memory and memory networks. Persistent memory is a subset of nonvolatile memory with similar properties of storage systems. As such, it comes with not only many benefits, but also a number of challenges inherent to both storage systems but to new technologies in general. Similarly, memory networking shares similar properties to network on-chip as well as computer networking design. Persistent memory and memory networks can go hand in hand to implement high performance computing or database systems to meet the demands of current applications.
Shared Insights, Shared Collections

Whitney Jordan, acquisitions librarian at Western Carolina University (WCU), presented “Shared Insights, Shared Collections” at the 28th Annual North Carolina Serials Conference. In her presentation, Jordan discussed the experiences of WCU and the Western North Carolina Library Network (WNCLN) in a consortium-based evidence-based acquisitions ebook pilot project. The three WNCLN consortium institutions partnered with Taylor & Francis to design an evidence-based ebook program, customized to each institution’s needs. Jordan emphasized the need for strong communication and effective project management in any collaborative collections project.
From Morse Code to Metadata: Bringing Scholarship to the World

1869, I arrive each morning acutely aware of my place in the continuum of this outstanding institution-the fi rst of its kind in the nation.My current position reaches back in a direct line to Andrew Dickson White, who helped found the university and identifi ed the need for a press to serve as an "intellectual organ" that would provide a publication outlet for scholarly achievements.White arranged the donation of a steam-driven cylinder press and type-our technology has fortunately advanced significantly since then.Since joining the press in 2015, I have focused my eff orts on enabling the global access to and discovery of our high-quality humanities and social sciences scholarship, fulfi lling the land-grant mission of Cornell University by demonstrating openness, promoting public accessibility, and disseminating knowledge that shapes the future of the world.My offi ce is just inside the mammoth front doors of Sage House, now a scholarly oasis on a terraced hillside halfway
Active Contours Using Harmonic Global Division Function

This paper presents the region-based active contours method based on the harmonic global signed pressure force (HGSPF) function. The proposed formulation improves the performance of the level set method by utilizing intensity information based on the global division function, which has the ability to segment out regions with higher intensity differences. The new energy utilizes harmonic intensity, which can better preserve the low contrast details and can segment complicated areas easily. A Gaussian kernel is adjusted to regularize level set and to escape an expensive reinitialization. Finally, a set of real and synthetic images are used for validation of the proposed method. Results demonstrate the performance of the proposed method, the accuracy values are compared to previous state-of-the-art methods.
Penerapan model pembelajaran Direct Instruction dipadukan metode Fish Bowl guna meningkatkan sikap sosial siswa kelas V SDN Teluk Tiram 2 Banjarmasin

This study aims to find out how the increase in social attitudes using Direct Instruction learning methods combined with Fish Bowl in class V students of Teluk Tiram 2 SDN Banjarmasin The research method used is the research used is action research in the form of Classroom Action Research . The PTK model carried out in this study is collaborative CAR. In this PTK researchers as participant observers and collaborations with fifth grade teachers of Teluk Tiram SDN 2. In this study, researchers act as key instruments because researchers who design, collect data, analyze data, draw conclusions, and make reports, while the implementation of teaching is left to the fifth grade teacher at SDN Teluk Tiram 2. The subjects in this study were all students in grade V SDN Teluk Tiram 2, which numbered 20 people. The observation results of students' social attitudes showed an increase from the first cycle only gained 40.21%, increasing to 48.07% in the second cycle. Based on these descriptions, it can be concluded that the application of the Direct Instruction learning model combined with the Fish Bowl method can improve students' social attitudes at each meeting while carrying out learning