Reviewerly/exHarmony huggingface dataset:
Tensile and fracture characterization using a simplified digital image correlation test set-up

Digital image correlation (DIC) is now a popular and extensively used full-field metrology technique. In general, DIC is performed by using a turnkey solution offered by various manufacturers of DIC. In this paper, a simple and economical set-up for DIC is proposed which uses easily accessible digital single-lens reflex (DSLR) camera rather than industrial couple-charged device (CCD) cameras. The paper gives a description of aspects of carrying a DIC experiment which includes experimental set-up, specimen preparation, image acquisition and analysis. The details provided here will be helpful to carry DIC experiments without specialized DIC testing rig. To validate the responses obtained from proposed DIC set-up, tension and fatigue tests on specimens made of IS 2062 Gr. E300 steel are determined. Tensile parameters for a flat specimen and stress intensity factor for an eccentrically-loaded single edge notch tension specimen are evaluated from results of DIC experiment. Results obtained from proposed DIC experiments are compared with those obtained from conventional methods and are found to be in close agreement. It is also noted that the high resolution of DSLR allows the use of proposed approach for fracture characterization which could not be carried out with a typical turnkey DIC solution employing a camera of 2MP resolution.
Does Stock Market Development Spurs Capital Inflows In Nigeria

Previous studies have focused extensively on the impact of stock market development on capital inflows while a growing number of studies have also centered on the impact of capital inflows on stock market development. However, the findings of these studies have been grossly inconclusive. Further, the previous studies (particularly indigenous studies) did not consider the issue of causality between stock market development and capital inflows while the few studies on causality focused extensively on foreign direct investment neglecting other types of capital inflow such as foreign portfolio investment. To fill this empirical gap in literature, this study sought to examine the causal nexus between stock market development and foreign capital inflows (foreign direct investment and foreign portfolio investment) in Nigeria for the period 1986 to 2016. Using Pair-wise Granger Causality approach, the study observed the absence of causality between stock market development and foreign direct investment while unidirectional causality was observed from stock market development to foreign portfolio investment. The study concluded that development in stock market influence the inflow of foreign capital into the Nigeria capital market. The study therefore recommends that need for increased development of the stock market in order to attract more foreign capital into the Nigerian economy.
Research Guides: Finding Books: Books at XWI7XWA Library

This guide aims to provide information about finding books at UBC Library, primarily using the Library catalogue.
Towards Robust Visual Localization in Challenging Conditions

Visual localization is a fundamental problem in computer vision, with a multitude of applications in robotics, augmented reality and structure-from-motion. The basic problem is to, based on one or more images, figure out the position and orientation of the camera which captured these images relative to some model of the environment. Current visual localization approaches typically work well when the images to be localized are captured under similar conditions compared to those captured during mapping. However, when the environment exhibits large changes in visual appearance, due to e.g. variations in weather, seasons, day-night or viewpoint, the traditional pipelines break down. The reason is that the local image features used are based on low-level pixel-intensity information, which is not invariant to these transformations: when the environment changes, this will cause a different set of keypoints to be detected, and their descriptors will be different, making the long-term visual localization problem a challenging one. In this thesis, four papers are included, which present work towards solving the problem of long-term visual localization. Three of the articles present ideas for how semantic information may be included to aid in the localization process: one approach relies only on the semantic information for visual localization, another shows how the semantics can be used to detect outlier feature correspondences, while the third presents a sequential localization algorithm which relies on the consistency of the reprojection of a semantic model, instead of traditional features. The final article is a benchmark paper, where we present three new benchmark datasets aimed at evaluating localization algorithms in the context of long-term visual localization.
Library Guides: Digital Research Notebooks: Access the DRN for Non-UQ users

Use Digital Research Notebooks, via the UQ Research Data Manager system, to organise, store, curate and share all your project's research or laboratory data including working documents, images, observations, and data in any format.
Appendix to What Makes a Great Software Engineer

Good software engineers are essential to the creation of good software. However, most of what we know about software-engineering expertise are vague stereotypes, such as ‘excellent communicators’ and ‘great teammates’. The lack of specificity in our understanding hinders researchers from reasoning about them, employers from identifying them, and young engineers from becoming them. Our understanding also lacks breadth: what are all the distinguishing attributes of great engineers (technical expertise and beyond)? We took a first step in addressing these gaps by interviewing 59 experienced engineers across 13 divisions at Microsoft, uncovering 54 attributes of great engineers. In our ICSE paper, (Li, Ko, Zhu, 2015) we explained a small subset of the attributes; in this technical report we describe the full set of attributes and examine how they impact projects and teams.
6-8 aana land on sale at CPS Godawari, Godawari - 3, Lalitpur

Land For sale In CPS Godawari, Ward No. 3, Godawari Municipality, Lalitpur, Pradesh 3 Nepal
Game Edukasi Pengenalan Lingkungan Tempat Hidup Makhluk Hidup di SLB B YRTRW Surakarta

Admire the creatures of God's creation and added insight around are some examples of the benefits gained from studying Natural Sciences. This also applies to the Sekolah Luar Biasa B Yayasan Rehabilitasi Tuna Rungu dan Wicara (SLB B YRTRW) Surakarta, which began to introduce education or learning about the introduction of living places since 4th grade elementary school. But during the learning process in the classroom deaf children find difficult to understand the material conveyed by the teacher. Based on the results of interviews and observations, during the teaching and learning process children quickly get bored and tend to not be able to concentrate on the material being taught, besides the enthusiasm of students when learning decreases, the authors plan to make an educational game. Educational games can be used as alternative media for the problems faced. This research was conducted through 3 stages. The first stage is making a storyboard design from the game that will be made. The second stage is making game design using Contruct 2 software and then doing blackbox testing to determine the suitability of the concepts made. The third stage is implementation, respondents are asked to test the game that has been made. After completing the trial, the respondent was given a questionnaire to determine the validity and reliability of the game. The results of the questionnaire obtained the following results: from scale 3 for each questionnaire had an average score above 2.5. From these results it can be concluded that this educational game can be used as an alternative during learning.
Аудиовизуальная журналистика в контексте цифровой экономики: социокультурные вызовы гибридной коммуникации

The model of audiovisual journalism is transformed in digital economy. For the first time the paper offers an analysis of hybrid datafied communication, describes a new model, problems and trends of professional communication with non-human actors and their owners.
Min roll i en stor jazzensemble : pianist, kompositör och bandledare

In my project I composed and arranged original music for a nine piece jazz ensemble consisting of five horn instruments and a rhythm section. My objective was to write diverse music specifically fo ...
The riverine Archive: preserving the contingency of digital heritage

This paper introduces the idea of a VR archive which is in constant flux, a mutable structure, one that celebrates the idea of occlusion and the value ofintersubjective emergence. We are interested in the idea of a mutable archive that resists fixed documentation and leaves space for the non-recordable energy of collaboration, and performance. It allows for data to dip beneath the surface and re-emerge when variables come together.
A method of creating personae for children with autism spectrum condition: application and revision

Purpose Personae are simple tools for describing users, their characteristics and their goals. They are valuable tools when designing for a specific group of users, such as children with autism spectrum condition (ASC). The purpose of this paper is to propose, validate and revise a methodology for creating accurate, data grounded personae for children with ASC. Design/methodology/approach The proposed method is based mainly on Cooper et al.’s (2007) persona construction method. It proposes gathering and analysing qualitative data from users and experts to either create a new persona or extend an existing one. The method is then applied to create personae for the design of a visual programming tool for children with ASC. Based on the results of the application, observations and lessons learnt, a revised version of the method is proposed. Findings The method’s combined use of user data and expert knowledge produced a set of personae that have been well reviewed by experts so far. The method’s use of a questionnaire to validate personae also produced relevant qualitative feedback. On review, possible downsides of extending existing personae were identified. Therefore, a revised method was introduced, eliminating the need to extend existing personae, and stressing the importance of utilising user data, expert knowledge and feedback. Originality/value This paper addresses the need for a well-defined method for creating data grounded personae that accurately describe the characteristics and goals of children with ASC. Such personae can be used to design and develop more accessible and usable products.
It's Just Graph

Graph has emerged as a hot topic in many different communities (RDF/SPARQL, Property Graph (Gremlin / Cypher / PGQL), graph embeddings, graph learning, linear algebra, etc. I will look back over 20 years of Graph at different conceptual approaches and discuss how they touch and whether they will or should converge and why Graph should and does stand apart from various other models (e.g., Relational, Object databases, linear algebra on unattributed graphs). I will discuss why Graph is intrinsically a harder problem than Relational (e.g., lack of explicit schema and the impact this has on query planning), why Graph is a challenging computational problem (non-locality, data-dependent parallelism, bandwidth limited compute, wildly varying workloads), challenges in Graph languages (pattern matching and graph algorithms), architectural and computational challenges in scaling to large graphs (user space algorithms, data parallel runtime, latency hiding), and opportunities for combining Graph and ML techniques.
Cut Through the Cloud Vendor Clutter

There are many factors to consider when choosing a cloud vendor. Learn how you can pick the best fit for your organization and stay ahead of the curve.
영화를 활용한 영시 수업 연구

This study exemplifies an English poetry class using movies where well-known poems are recited. It also investigates how the learners perceive the...
Chetan Bhagat’s novel One Indian Girl ----A Portrayal of a modern Indian Girl ‘s change in attitude towards life

Chetan Bhagat’s novel One Indian Girl is the story of Radhika Mehta, a vice-president at Goldman Sachs in London. It is a good place to note most of Radhika’s story told in three extensive flashbacks framed between a prologue and a epilogue. Every one is excited,as Radhika’s wedding in Mehta family is first destination wedding in Goa. But Radhika’s mind is in undisclosed mess, because of the situation she is in where she doesn’t have the slightest clue what exactly is going to happen. The solution for the chaos is not straightforward. Radhika is going to get married to Brijesh Gulati, an intelligent and caring person working at Facebook in San Francisco for whom Rahika has some good feelings. She earlier had relationships with Debashish Sen and Neel Gupta. Both of them planned to marry her but to certain reasons, marriage could not take place. Each time she feels disappointed and leaves the place where she was working. In the end, when she was about to marry Brijesh, other two persons arrive to marry her. She feels frustrated and cancels the marriage and goes on world tour to find out what she really likes. At last,she meets Brijesh in San Fransisco and asks him to come to Arjit Singh concert with her. He agrees and both of them start laughing in the end.
Relationship management: capitalising on the informal

Most Library Academic Liaison teams will have formal channels of communication which are used to ‘get work done’, but often we make the most progress when we forge relationships in less formal settings. Key elements of these relationships are the trust and respect that is developed and being seen as partners. This discussion draws on examples of successful relationships that we have built at the University of Sussex. I will discuss how we have worked in partnership with academics in the Sussex Humanities Lab to deliver events such as Library Carpentry. I will share insights from our ongoing relationship with SAGE Publications which has enabled us to expand our understanding of students and researchers. I will share how we have worked with a number of teams across the University to deliver a Digital Skills support based on JISC’s Digital Capability Framework. I will also reflect on how the Library as a whole benefits from these relationships.
Modeling the Past and Future Contexts for Session-based Recommendation.

Session-based recommender systems have attracted much attention recently. To capture the sequential dependencies, existing methods resort either to data augmentation techniques or left-to-right style autoregressive training.Since these methods are aimed to model the sequential nature of user behaviors, they ignore the future data of a target interaction when constructing the prediction model for it. However, we argue that the future interactions after a target interaction, which are also available during training, provide valuable signal on user preference and can be used to enhance the recommendation quality. Properly integrating future data into model training, however, is non-trivial to achieve, since it disobeys machine learning principles and can easily cause data leakage. To this end, we propose a new encoder-decoder framework named Gap-filling based Recommender (GRec), which trains the encoder and decoder by a gap-filling mechanism. Specifically, the encoder takes a partially-complete session sequence (where some items are masked by purpose) as input, and the decoder predicts these masked items conditioned on the encoded representation. We instantiate the general GRec framework using convolutional neural network with sparse kernels, giving consideration to both accuracy and efficiency. We conduct experiments on two real-world datasets covering short-, medium-, and long-range user sessions, showing that GRec significantly outperforms the state-of-the-art sequential recommendation methods. More empirical studies verify the high utility of modeling future contexts under our GRec framework.
A Novel Approach for Predicting Nativity Language of the Authors by Analyzing Their Written Texts

The technique of predicting the profiling characteristics like gender, age, nativity language, and location of an anonymous author’s text by examining the author’s style of writing is called Author Profiling. The differences in authors writing styles play a crucial role in Author Profiling. Several researchers extracted different types of stylistic features to discriminate the authors writing styles. Most of the researchers used a standard Bag Of Words model for document representation in Author Profiling approaches. This model has some problems like high dimensionality of features, sparsity in representation of a document and the relationship between the features were not captured in document representation. In this work, a new approach is proposed for document representation. In this approach, the weights of documents were used to generate the vectors for documents. This approach also solves the problems faced in Bag Of Words model. In this work, we concentrated on prediction of nativity language of the authors from the corpus collected from hotel reviews. Different classification algorithms were used from WEKA tool to predict the accuracy of nativity language of an author’s text. The obtained results were good when compared with the state-of-the-art approaches for nativity language prediction in Author Profiling.
May healthcare data breaches: More than 2 million patients affected

Read the latest data breach report from the U.S. Department of Health and Human Service’s Office for Civil Rights.
Development of Professional Mobility as Component of Professional Competence in Postgraduate Education System

Fast-moving economic and information development of the modern society, changes in content of specialists' professional activity and a quick renewal of current knowledge, stipulate the necessity to develop specialists' professional mobility for mastering new
Peningkatan keterampilan menulis aksara jawa nglegena melalui model numbered heads together berbasis media kubus aksara jawa kelas III sekolah dasar

Abstract . The objective of this research is to raise Javanese alphabet nglegena writing skills at students on the third grade through the use of Numbered Heads Together model based on Javanese Alphabet Cube media. Research about Classroom Action executed in two cycles. Every cycle composes of planning, action, observation, and reflection. The subjects are 20 students and teacher of the third grade. Techniques of data collection are observation, interview, test, and documentation. Validity data test techniques used are validity of content and triangulation. Data analysis technique consists of data collection, data reduction, data display, and conclusion drawing. Based on the outcome of this research, it is obtained that the class’ average grade on pre-action is 49,03 with classical complement which is 5%. The class’ average grade in the first cycle increases to 70,5 with classical complement is 55%. Furthermore, the class’ average grade in cycle II increases again to 83,78 with classical complement is 90%. The conclusion is the use of Numbered Heads Together model based on Javanese Alphabet Cube media can raise Javanese alphabet nglegena writing skill at students on the third grade of SD N 3 Macanan, Kebakkramat, Karanganyar at the academic year 2018/ 2019. Keywords: Javanese alphabet nglegena writing skills, Numbered Heads Together models, Javanese Alphabet Cube media.
Library Guides: Electronic Lab Notebooks: Home

A description of electronic lab notebooks (ELNs) and resources with information about available ELN software
Sistem Pendukung Keputusan Kelayakan Penerima Pinjaman Simpan Pinjam Khusus Perempuan (SPP) Di Badan Kerjasama Antar Desa (BKAD) Kecamatan Masaran Dengan Metode SAW

Poverty is one of the main problems in Indonesia. There are many kinds of poverty alleviation, one of them is Women’s Saving and Loans Program by Badan Kerja Sama Antar Desa in Masaran district. Verification of the borrower in Woman’s Saving and Loans has been done manually. The aims of decision support system using Simple Additive Weighting are facilitating verification process of the borrower for accurate result and minimizing the error rate because of the amount of borrower data. The result of system development is web-based application named SIPMAS. The implementation of Simple Additive Weighting’s framework into SIPMAS system is coded using native PHP. Code writing using SUBLIME 3.0 application. Assessment on Simple Additive Weighting method in this study are income, number of children who live with, collateral loans and loans in another place. Processing result uploaded to web hosting that can accessed by borrower group for verification result. The result of SIPMAS application in this study is in accordance with planned design.
Heart rate, heart rate variability, and GSR in relation to motion sickness caused by lateral vehicle motion

Self-driving cars is considered the next major step in the automotive industry and with automation in passenger vehicles, the driver can benefit from the freed up time for leisure or work, as he or she becomes the passenger. However, this is only possible if the drivers are comfortable during automated driving. The major issue here, is that the susceptibility of motion sickness (MS) increases significantly when the driver does not have his or her eyes on road, this susceptibility needs to be minimized. However, motion sickness is not clearly understood and assessing it has been traditionally done qualitatively with questionnaires. Because of the highly individual and subjective nature of motion sickness and its symptoms, it is hard to quantify it accurately by questionnaires. To minimize and prevent motion sickness, it is beneficial to measure it quantitatively in different ways in addition to the traditional questionnaire. This thesis explores and investigates the use of physiological measurements, ECG and GSR, to relate motion sickness in a realistic driving experiment. Hence, a road test is conducted for this study with a Toyota Prius on a closed road. A slalom course was driven with a speed 25 km/h to reach lateral accelerations up to 0.4G with a lateral frequency of 0.175 Hz. This frequency and velocity has been chosen, because it is known that people are the most sensitive for MS of frequencies near 0.2 Hz and this velocity reflects urban driving. 23 participants took part of the experiment and had their ECG, GSR and their MISC (Misery scale, an illness rating) recorded during the drive. The experiment lasted until MISC rating 7 (=medium nausea) or either 30 minutes was completed. The ECG (HR, LF/HF ratio) and GSR (skin conductance level SCL, skin conductance response SCR) recordings were then compared to the MISC ratings to see if there was a significant difference between the participants who got sick and stopped at MISC 7 (sensitive) and the participants who did not get sick (non-sensitive). The results show little support correlating motion sickness or even to distinguish sensitive and non-sensitive groups with HR, HRV or GSR data. It might be beneficial to categorize people into different sensitivity profiles for MS susceptibility to make HR information more useful as there is too much of individual differences. Currently, there were few to none road tests done regarding motion sickness. It appears that physiological measurements for predicting MS in vehicles are not as straightforward and do not translate well from other types of laboratory tests to realistic road tests. Not to mention that HRV has become a controversial metric in the recent decade that might need to be re-evaluated for use.