Matches in Nanopublications for { ?s <http://schema.org/description> ?o ?g. }
- _6 description "You are free to share (copy and redistribute the material in any medium or format) and adapt (remix, transform and build upon the material for any purpose, even commercially)." assertion.
- 60145760e2d511ec87d63dd96ff2e9f4 description "This document contains the information used by Prostate Cancer Specialist Nurses running the Telenursing service of the Prostate Cancer Foundation of Australia. The PDF is a version of a dynamic electronic manual containing comprehensive information about prostate cancer, including diagnosis and testing, treatment, side effects, health and community services and information for partners and family members. The information is current at June 2022." assertion.
- _3 description "You are free to share (copy and redistribute the material in any medium or format) and adapt (remix, transform and build upon the material for any purpose, even commercially)." assertion.
- 5a8e1d7af0b1baa76ac7db98dd138796 description "This dataset contains de-identified transcripts of interviews collected at the University of Technology Sydney between December 2016 and March 2017. Interviewees are rideshare drivers working in Australian cities." assertion.
- _5 description "You are free to share (copy and redistribute the material in any medium or format) and adapt (remix, transform and build upon the material for any purpose, even commercially)." assertion.
- 5a380da085c111ef88e8710d43870003 description "We extract data from two databases (web of science and Academic Analytics). For the web of science database we identify the outputs of each author. For example, an author might be listed as K Walsh, K D Walsh, Kathleen Walsh or Kathy Walsh. We investigate (using web searches of university websites and linkedIn) whether the publications of each author should be grouped under one author ID or several. The web of science file doesn’t include gender, so this needed to be categorised manually. We augment standard gender methods such as those used in Faccio, Marchica and Murab (2016) and Adams et al (2018) and accessed databases of first names classified by gender. Authors were coded male or female if their names were unambiguously one gender (e.g John or Mary). For the approximately 7000 ambiguous names (e.g. unusual or foreign names or names such as Michelle which can be either male or female) we searched for the specific author using either names or paper titles and determine gender using photos or pronouns in their webpage, university profile, LinkedIn profile, ratemyprofessor.com or other online reference to the author or paper. " assertion.
- _7 description "You are free to share (copy and redistribute the material in any medium or format) and adapt (remix, transform and build upon the material for any purpose, even commercially)." assertion.
- c01957115a61a3118b93a9036fce2914 description "First year postgraduate students' academic outcomes studying Economics for Management" assertion.
- _6 description "You are free to share (copy and redistribute the material in any medium or format) and adapt (remix, transform and build upon the material for any purpose, even commercially)." assertion.
- eca66347644e8f2443a3d8512c3415c9 description "The measurement system 2.0 is an upgrade from the 1.0 version, which includes an USB3.0 high speed camera in addition to the microphone and current/voltage sensors. The software is used to control the measurement progress and the measured signals are displayed on the computer with a graphical user interface. The software is developed in LabView. " assertion.
- _4 description "You are free to share (copy and redistribute the material in any medium or format) and adapt (remix, transform and build upon the material for any purpose, even commercially)." assertion.
- _5 description "" assertion.
- b304625084da11ee97111d55566bcc08 description "Dataset accompanying AJET paper of the same name. The launch of new tools in late 2022 heralded significant growth in attention to the impacts of generative AI (genAI) in education. Claims of the potential impact on education are contested, but there are clear risks of inappropriate use particularly where genAI aligns poorly with learning aims. In response, in mid-2023 the Australian Federal Government held an inquiry, calling for public submissions. This inquiry offers a lens onto the policy framing of genAI in education and provides the object of investigation for this paper. We use the inquiry submissions, extracting structured claims from each. This extraction is provided as an open data set for further research. " assertion.
- _3 description "You are free to share (copy and redistribute the material in any medium or format) and adapt (remix, transform and build upon the material for any purpose, even commercially)." assertion.
- 35be6a4043ea91ce2ce97c8366f9c52f description "The data set includes assessment marks of undergraduate international students from a private tertiary education provider in Australia. Two first year units Business Economics and Business Statistics were included over a two-year period (2012-2013). There were three main assessments that students had to complete in each semester: (a) two short multiple choice tests (Test 1 and Test 2); (b) mid-semester test (MST) and; (c) final exam (FE). The two short multiple choice tests included an individual test and a group test. T-tests, paired t-tests and regression analysis were used to ascertain if group work improves student outcomes. In particular, the marks for the individual tests are compared to the marks for the group tests." assertion.
- _8 description "You are free to share (copy and redistribute the material in any medium or format) and adapt (remix, transform and build upon the material for any purpose, even commercially)." assertion.
- 333a892f7dc2109b0444215c3fc31eca description "This report presents a literature review of the acoustic emission from additive manufacturing (AM) processes. The fundamental concepts of additive manufacturing and the characteristics of different categories were briefly introduced first. Then the existing studies in literature on the acoustic emission from additive manufacturing are presented in the second chapter. The data processing techniques vary from simple time and frequency domain parameters to complicated signal processing methods. However, no practical industrial applications based on the acoustic emission have been found in the literature. Table 1 summarises the sensor, frequency range, signal conditioning and signal processing methods used in the reviewed studies." assertion.
- _5 description "You are free to share (copy and redistribute the material in any medium or format) and adapt (remix, transform and build upon the material for any purpose, even commercially)." assertion.
- c8025bb01eac11ee83d1a16b16f71664 description "Supplementary files for the PhD thesis of Inah Camaya, relating to the analysis of (1) the differential abundance of proteins in the pancreas of NOD mice treated with FhHDM-1, (2) the differential expression of mRNA in beta cells treated with FhHDM-1 under basal and apoptotic conditions and, (3) the differential expression of miRNA:mRNA in beta cells treated with FhHDM-1 under basal and apoptotic conditions. Supplementary Figure 2.1. Interlinked contiguous quartet of interacting proteins (Cdh1, Agt, Rps6kb1, and Bmi1) Supplementary Table 2.1. LC-MS/MS identification of proteins in NOD mouse pancreas Supplementary Table 2.2. Proteins identified in the pancreas of mice Supplementary Table 2.3. Interrogation of the protein network using specific search terms Supplementary Table 2.4. Differentially expressed genes with a logarithmic fold change of >1 or <1, and a false discovery rate <0.05 in NIT-1 β-cells treated with FhHDM-1 as compared to untreated cells Supplementary Table 3.1. Proteins with significantly different abundance in FhHDM-1 treated β-cells compared to untreated controls Supplementary Table 4.1. Predicted gene targets for differentially expressed miRNAs in FhHDM-1 treated β-cells compared to untreated (Un) controls Supplementary Table 4.2. Predicted gene targets of differentially expressed miRNAs in FhHDM-1 treated β-cells compared to untreated (Un) controls, common across all online miRNA gene target prediction tools mIRDB, DIANA and Target Scan Supplementary Table 4.3A. List of predicted gene targets from miRNA upregulated in FhHDM-1 treated β-cells within each PANTHER DB category of molecular function and biological process (from Figure 2). Supplementary Table 4.3B. KEGG pathway analysis of predicted gene targets from miRNA downregulated in FhHDM-1 treated β-cells compared to untreated controls Supplementary Table 4.4. List of matched gene targets from miRNA downregulated in FhHDM-1 treated β-cells within each PANTHER DB category of molecular function and biological process (from Figure 4.5). Supplementary Table 4.5. Differentially expressed miRNAs in FhHDM-1 treated β-cells exposed to pro-inflammatory cytokines, compared to cytokines alone Supplementary Table 4.6. Predicted gene targets for differentially expressed miRNAs in FhHDM-1 treated β-cells exposed to pro-inflammatory cytokines compared to cytokines (CM) alone Supplementary Table 4.7. Predicted gene targets of differentially expressed miRNAs in FhHDM-1 treated β-cells exposed to pro-inflammatory cytokines compared to cytokines (CM) alone, common across all online miRNA gene target prediction tools mIRDB, DIANA and Target Scan Supplementary Table 4.8. KEGG pathway analysis of predicted gene targets from miRNA upregulated in FhHDM-1 treated β-cells exposed to pro-inflammatory cytokines compared to cytokines alone Supplementary Table 4.9. KEGG pathway analysis of predicted gene targets from miRNA downregulated in FhHDM-1 treated β-cells exposed to pro-inflammatory cytokines compared to cyokines alone Supplementary Table 4.10. Differentially expressed genes in the transcriptome of FhHDM-1 treated β-cells exposed to pro-inflammatory cytokines, compared to cytokines alone Supplementary Table 4.11. Matched gene targets common between transcriptome and predicted gene targets of differentially expressed miRNA in FhHDM-1 treated β-cells under inflammatory conditions compared to pro-inflammatory cytokine only (CM) controls. Supplementary Table 4.12. KEGG pathway analysis of matched genes downregulated in the transcriptome with their corresponding regulatory miRNA upregulated in FhHDM-1 β-cells exposed to pro-inflammatory cytokines compared to cytokines alone Supplementary Table 4.13. KEGG pathway analysis of matched genes upregulated in the transcriptome with their corresponding regulatory miRNA downregulated in FhHDM-1 β-cells exposed to pro-inflammatory cytokines compared to cytokines alone " assertion.
- _6 description "You are free to share (copy and redistribute the material in any medium or format) and adapt (remix, transform and build upon the material for any purpose, even commercially)." assertion.
- 32b454f0ef6011ebb235ad322b843cb4 description "This record contains all data collected for the Expert Nation project which was an ARC funded Discovery Project (DP160101109) led by Assoc. Prof. Tamson Pietsch (UTS), Assoc. Prof Julia Horne (USyd), Prof. Stephen Garton (USyd), Prof. Kate Darian Smith (UTas) and Dr James Waghorne (UMelb). The project, conducted between 2016 and 2020, traced the professional lives of nearly 6000 Australian men and women who served in the First World War and who had a university education. Through examining the professional lives of the members of this cohort in the 1920s and 1930s, the project explored the relationship between war service, expertise and nation building. A key part of the project was amassing biographical, educational and career data from 1919-1939 for the returned service people in a Heurist database. Data was collected from a variety of sources including state gazettes, war service records, university archives, TROVE, the Australian Dictionary of Biography, the Encyclopedia of Australian Science as well as the state archives and libraries of Australia. Career data was located for approximately 80 per cent of the individuals in the database. All of the individuals have basic information attached to their profile. The data available on this site was collected from Heurist September 2020 by UTS eResearch at the close of the project. " assertion.
- _8 description "You are free to share (copy and redistribute the material in any medium or format) and adapt (remix, transform and build upon the material for any purpose, even commercially)." assertion.
- 9a7f0f8060ff11efac2c9517142205fd description "raw dataset from laboratory analysis of tapelifts from garments collected immediately following transfer simulation " assertion.
- _7 description "You are free to share (copy and redistribute the material in any medium or format) and adapt (remix, transform and build upon the material for any purpose, even commercially)." assertion.
- 79d6e45f218b99f5dfe4e432e05abb0b description "To study the flow field around a circular bridge pier with an upstream flow diversion structure (FDS), Particle Image Velocimetry (PIV) technique was employed. Velocity components at a vicinity of a pier with an upstream FDS under different submergence ratio were measured. The measurements were made with a single pier case, and a single pier with the FDS at the upstream with H/y = 0.25, 0.5, 0.75, and >1. The streamwise (u) and vertical (w) velocity components were determined from analysis of the PIV images collected during the individual experiments. Further analyses were carried out by a developed code in MATLAB and the results were stored in txt files. The outcomes include: Normalised Streamwise Velocity Component (u/V) Normalised Vertical Velocity Component (w/V) Normalised Turbulence Intensity Components (TIu/V and TIw/V) Normalised Turbulent Kinetic Energy (TKE/V2) Normalised Reynolds Shear Stress (u^' w^' ) / V^2 " assertion.
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- 96dc8341-f128-4c9c-b602-ce00010e76a0 description "Aggregation of the weekly official bulletin of September 2014. Attempt containing the PDFs" assertion.
- 1.0 description "The person who associated a work with this deed has dedicated the work to the public domain by waiving all of his or her rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information below." assertion.
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