Efficiency of test for independence after Box–Cox transformation

AbstractWe consider the efficiency and the power of the normal theory test for independence after a Box–Cox transformation. We obtain an expression for the correlation between the variates after a Box–Cox transformation in terms of the correlation on the normal scale. We discuss the efficiency of test of independence after a Box–Cox transformation and show that for the family considered it is always more efficient to conduct the test of independence based on Pearson correlation coefficient after transformation to normality. Power of test of independence before and after a Box–Cox transformation is studied for a finite sample size using Monte Carlo simulation. Our results show that we can increase the power of the normal-theory test for independence after estimating the transformation parameter from the data. The procedure has application for generating non-negative random variables with prescribed correlation

I Always Feel Like Somebody’s Watching Me: Student Perceptions of Library Data Privacy

Data privacy has emerged as a controversial topic in higher education. As librarians, we recognize the importance of privacy and confidentiality for allowing patrons to learn and explore without unnecessary barriers or fear of repercussions. However, there is a growing trend of data collection and analysis in libraries that impacts a patron’s right to privacy. In a presentation given at the 2019 South Carolina Library Association Annual Conference, we explored issues of click-through-consent, data invasion, and awareness of the types of data tracked. We asked for audience engagement as we discussed future directions including a survey on student perceptions of data privacy in libraries

TopoNav: Topological Navigation for Efficient Exploration in Sparse Reward Environments

Autonomous robots exploring unknown environments face a significant challenge: navigating effectively without prior maps and with limited external feedback. This challenge intensifies in sparse reward environments, where traditional exploration techniques often fail. In this paper, we present TopoNav, a novel topological navigation framework that integrates active mapping, hierarchical reinforcement learning, and intrinsic motivation to enable efficient goal-oriented exploration and navigation in sparse-reward settings. TopoNav dynamically constructs a topological map of the environment, capturing key locations and pathways. A two-level hierarchical policy architecture, comprising a high-level graph traversal policy and low-level motion control policies, enables effective navigation and obstacle avoidance while maintaining focus on the overall goal. Additionally, TopoNav incorporates intrinsic motivation to guide exploration toward relevant regions and frontier nodes in the topological map, addressing the challenges of sparse extrinsic rewards. We evaluate TopoNav both in the simulated and real-world off-road environments using a Clearpath Jackal robot, across three challenging navigation scenarios: goal-reaching, feature-based navigation, and navigation in complex terrains. We observe an increase in exploration coverage by 7- 20%, in success rates by 9-19%, and reductions in navigation times by 15-36% across various scenarios, compared to state-of-the-art methodsComment: Paper under review for IROS 202

Reproducible and Portable Big Data Analytics in the Cloud

Cloud computing has become a major approach to help reproduce computational experiments because it supports on-demand hardware and software resource provisioning. Yet there are still two main difficulties in reproducing big data applications in the cloud. The first is how to automate end-to-end execution of analytics including environment provisioning, analytics pipeline description, pipeline execution, and resource termination. The second is that an application developed for one cloud is difficult to be reproduced in another cloud, a.k.a. vendor lock-in problem. To tackle these problems, we leverage serverless computing and containerization techniques for automated scalable execution and reproducibility, and utilize the adapter design pattern to enable application portability and reproducibility across different clouds. We propose and develop an open-source toolkit that supports 1) fully automated end-to-end execution and reproduction via a single command, 2) automated data and configuration storage for each execution, 3) flexible client modes based on user preferences, 4) execution history query, and 5) simple reproduction of existing executions in the same environment or a different environment. We did extensive experiments on both AWS and Azure using four big data analytics applications that run on virtual CPU/GPU clusters. The experiments show our toolkit can achieve good execution performance, scalability, and efficient reproducibility for cloud-based big data analytics

A framework for regional primary health care to organise actions to address health inequities

“This is a post-peer-review, pre-copyedit version of an article published in International Journal of Public Health. The final authenticated version is available online at: http://dx.doi.org/10.1007/s00038-018-1083-9”. © Swiss School of Public Health (SSPH+) 2018Objectives Regional primary health-care organisations plan, co-ordinate, and fund some primary health-care services in a designated region. This article presents a framework for examining the equity performance of regional primary health-care organisations, and applies it to Australian Medicare Locals (funded from 2011 to 2015). Methods The framework was developed based on theory, literature, and researcher deliberation. Data were drawn from Medicare Local documents, an online survey of 210 senior Medicare Local staff, and interviews with 50 survey respondents. Results The framework encompassed equity in planning, collection of equity data, community engagement, and strategies to address equity in access, health outcomes, and social determinants of health. When the framework was applied to Medicare Locals, their inclusion of equity as a goal, collection of equity data, community engagement, and actions improving equity of access were strong, but there were gaps in broader advocacy, and strategies to address social determinants of health, and equity in quality of care. Conclusions The equity framework allows a platform for advancing knowledge and international comparison of the health equity efforts of regional primary health-care organisations

Commissioning and equity in primary care in Australia: Views from Primary Health Networks

This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for selfarchiving. Copyright © 2017 John Wiley & Sons Ltd. All rights reservedThis paper reports findings from 55 stakeholder interviews undertaken in six Primary Health Networks (PHNs) in Australia as part of a study of the impact of population health planning in regional primary health organisations on service access and equity. Primary healthcare planning is currently undertaken by PHNs which were established in 2015 as commissioning organisations. This was a departure from the role of Medicare Locals, the previous regional primary health organisations which frequently provided services. This paper addresses perceptions of 23 senior staff, 11 board members and 21 members of clinical and community advisory councils or health priority groups from six case study PHNs on the impact of commissioning on equity. Participants view the collection of population health data as facilitating service access through redistributing services on the basis of need and through bringing objectivity to decision‐making about services. Conversely, participants question the impact of the political and geographical context and population profile on capacity to improve service access and equity through service commissioning. Service delivery was seen as fragmented, the model is at odds with the manner in which Aboriginal Community Controlled Health Organisations (ACCHOs) operate and rural regions lack services to commission. As a consequence, reliance upon commissioning of services may not be appropriate for the Australian primary healthcare context

Interagency collaboration in primary mental health care: lessons from the Partners in Recovery program

© The Author(s) 2019 This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.BACKGROUND: Collaborative care is a means of improving outcomes particularly for people with complex needs. The Partners in Recovery (PIR) program, established in Australia in 2012, provides care coordination to facilitate access to health and social support services for people with severe and persistent mental illness. Of the 48 PIR programs across Australia, 35 were led by Medicare Locals, the previous Australian regional primary health care organisation and nine involved Medicare Locals as partner organisations. AIMS: To identify features which enabled and hindered collaboration in PIR programs involving Medicare Locals and determine what can be learnt about delivering care to this population. METHODS: Data were collected from 50 interviews with senior staff at Medicare Locals and from eight focus groups with 51 mental health stakeholders in different Australian jurisdictions. RESULTS: Successful PIR programs were based upon effective collaboration. Collaboration was facilitated by dedicated funding, a shared understanding of PIR aims, joint planning, effective network management, mutual respect and effective communication. Collaboration was also enhanced by the local knowledge and population health planning functions of Medicare Locals. Jurisdictional boundaries and funding discontinuity were the primary barriers to collaboration

Collaborative population health planning between Australian primary health care organisations and local government: lost opportunity

This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.Objective: To examine the strength and extent of collaborations between primary health care organisations and local government in population health planning. Methods: Methods included: a) online surveys with Medicare Locals (n=210) and Primary Health Networks (n=66), comparing the two using two‐level mixed models; b) interviews with Medicare Local (n=50) and Primary Health Network (n=55) executives; c) interviews with members of local government associations and Primary Health Network board members with local government experience (n=7); and d) review of 54 Medicare Local and 31 Primary Health Network publicly available annual reports. Results: Despite partnership being a policy objective for Medicare Locals/ Primary Health Networks, they reported limited time and financial support for collaboration with local government. Organisational capacity and resources, supportive governance and public health legislation mandating a role for local governments were critical to collaborative planning. Conclusions: Local government has the potential to tackle social factors affecting health; therefore, their inclusion in population health planning is valuable. Legislative mandates would help to achieve this, and PHNs require a stronger Federal Government mandate backed by sufficient resources and a governance structure that supports collaboration. Implications for public health: Improving primary health care and local government collaboration has great potential to improve the quality of health planning and action on social determinants, thus advancing population health and health equity

p3k14c, a synthetic global database of archaeological radiocarbon dates.

Archaeologists increasingly use large radiocarbon databases to model prehistoric human demography (also termed paleo-demography). Numerous independent projects, funded over the past decade, have assembled such databases from multiple regions of the world. These data provide unprecedented potential for comparative research on human population ecology and the evolution of social-ecological systems across the Earth. However, these databases have been developed using different sample selection criteria, which has resulted in interoperability issues for global-scale, comparative paleo-demographic research and integration with paleoclimate and paleoenvironmental data. We present a synthetic, global-scale archaeological radiocarbon database composed of 180,070 radiocarbon dates that have been cleaned according to a standardized sample selection criteria. This database increases the reusability of archaeological radiocarbon data and streamlines quality control assessments for various types of paleo-demographic research. As part of an assessment of data quality, we conduct two analyses of sampling bias in the global database at multiple scales. This database is ideal for paleo-demographic research focused on dates-as-data, bayesian modeling, or summed probability distribution methodologies

The role of water, sanitation and hygiene interventions in reducing soil-transmitted helminths: interpreting the evidence and identifying next steps.

The transmission soil transmitted helminths (STH) occurs via ingestion of or contact with infective stages present in soil contaminated with human faeces. It follows therefore that efforts to reduce faecal contamination of the environment should help to reduce risk of parasite exposure and improvements in water, sanitation and hygiene (WASH) are seen as essential for the long-term, sustainable control of STH. However, the link between WASH and STH is not always supported by the available evidence from randomised controlled trials, which report mixed effects of WASH intervention on infection risk. This review critically summarises the available trial evidence and offers an interpretation of the observed heterogeneity in findings. The review also discusses the implications of findings for control programmes and highlights three main issues which merit further consideration: intervention design, exposure assessment, and intervention fidelity assessment