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Notice of Intent to Publish a Funding Opportunity Announcement for Tobacco, Alcohol, and Cannabis Policy Research for Health Equity (R01 Clinical Trial Optional) [First Estimated Application Due Date: Feb 5]

The post Notice of Intent to Publish a Funding Opportunity Announcement for Tobacco, Alcohol, and Cannabis Policy Research for Health Equity (R01 Clinical Trial Optional) [First Estimated Application Due Date: Feb 5] was curated by information for practice.





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A Golden Land? Questioning Frontiers, Fantasies and Fulfillment in the Pacific Northwest

I’d first driven by this land en route to elsewhere. When I saw the bunkers—over a thousand set upon the desert—I was so stunned by the terrain’s alien disfigurement that I stopped at an overpass to absorb the view. To my eye, the concrete bunkers were dystopian in their sum and structure and sprawl—scarring nine […]

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BASW reacts to UK Budget

BASW made a submission to the Treasury ahead of the budget on what we wanted the Chancellor to announce, which included more spending on social care, tackling poverty, and giving local authorities the long-term funding needed to deliver local services.

The post BASW reacts to UK Budget was curated by information for practice.




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So-called ‘deaths of despair’ are rising in the UK. Labour must act on this silent epidemic

Rates of suicide, alcohol and drug fatalities (collectively known as “deaths of despair”) have increased by 9%, 45% and 81% respectively in England and Wales over the last decade. Given that mortality rates for most other causes are stable or decreasing, this increase is deeply concerning. In total, in 2022 these three causes accounted for […]

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Coroner finds ‘pervasive deficits’ in Oranga Tamariki social work practice before Napier baby’s death

In the months leading up to the unexpected death of a baby boy, Oranga Tamariki staff incorrectly handled several concerns reported to them relating to his family.

The post Coroner finds ‘pervasive deficits’ in Oranga Tamariki social work practice before Napier baby’s death was curated by information for practice.




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Grieving mum’s concern over continued use of unregulated temporary accommodation for under 18s in Northern Ireland

Over 150 young people under the age of 18 were placed in temporary accommodation over the course of a year – some of which was unregulated

The post Grieving mum’s concern over continued use of unregulated temporary accommodation for under 18s in Northern Ireland was curated by information for practice.




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Adopting pediatric readiness standards in emergency departments could save more than 2,000 lives each year

The standards are published by The National Pediatric Readiness Project, an initiative to empower all emergency departments to provide effective emergency care to children, and encompass training for staff, coordination of health care, and the procedures and medical equipment needed to care for ill and injured children. According to the study, adopting the standards would […]

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Children as young as four being placed in residential care, report finds

Children as young as four years old are being placed in residential care because there is no foster carer available, while there is a waiting list for admission to the country’s 15 special care beds, according to the latest report from the Child Law Project.

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Peace, equanimity and acceptance in the cancer experience: validation of the German version (PEACE-G) and associations with mental health, health-related quality of life and psychological constructs

Systematic reviews and meta-analyses reveal the importance of an accepting attitude towards cancer for mental health and functional coping. The aim of this study was to examine the psychometric properties of t… Read the full article ›

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  • Open Access Journal Articles

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Addressing integration in the organization of palliative care in belgium: a multilevel ecosystems approach using the analytic hierarchy process (AHP) method

Palliative care is becoming an essential component of healthcare, but there is insufficient research on how integration across different levels of care (micro, meso, and macro) is realized in practice. Without… Read the full article ›

The post Addressing integration in the organization of palliative care in belgium: a multilevel ecosystems approach using the analytic hierarchy process (AHP) method was curated by information for practice.



  • Open Access Journal Articles

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A Loss Cycle of Burnout Symptoms and Reduced Coping Self-Efficacy: A Latent Change Score Modelling Approach

Chronic Stress, Volume 8, Issue , January-December 2024. Police officers are frequently faced with chronic and acute stressors, such as excessive workload, organizational stressors and emotionally charged reports. This study aims to examine the relationship between a form of chronic strain (ie, burnout symptoms) and a resource (ie, coping self-efficacy) in a sample of Dutch […]

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  • Open Access Journal Articles

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Efficacy of a culturally adapted, cognitive behavioural therapy-based intervention for postnatal depression in British south Asian women (ROSHNI-2): a multicentre, randomised controlled trial

The post Efficacy of a culturally adapted, cognitive behavioural therapy-based intervention for postnatal depression in British south Asian women (ROSHNI-2): a multicentre, randomised controlled trial was curated by information for practice.



  • Open Access Journal Articles

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Participatory topological mapping: A novel approach for exploring and communicating situated knowledge of complex socio-ecological systems

Methodological Innovations, Ahead of Print. Land use change impacts on Sámi reindeer husbandry are well-documented, but existing maps often fail to capture socio-ecological relationships between herders, reindeer and nature. Conventional Geographic Information Systems (GIS) simplify these relationships, lacking local context and excluding valuable knowledge due to their rigid structure. This paper introduces participatory topological mapping, […]

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  • Open Access Journal Articles

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Negative performance feedback from algorithms or humans? effect of medical researchers’ algorithm aversion on scientific misconduct

Institutions are increasingly employing algorithms to provide performance feedback to individuals by tracking productivity, conducting performance appraisals, and developing improvement plans, compared to trad… Read the full article ›

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  • Open Access Journal Articles

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Impact of selective reporting bias on stroke trials: potential compromise in evidence synthesis – A cross-sectional study

Accurate reporting of outcomes is crucial for interpreting the results of randomized controlled trials (RCTs). However, selectively reporting outcomes in publications to achieve researchers’ anticipated result… Read the full article ›

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  • Open Access Journal Articles

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The Impact of Parental Health Shocks on Child Schooling and Labour: Evidence From Thailand

ABSTRACT This paper uses household panel data from the Thai Socio-Economic Surveys of 2012 and 2017 to examine the effects of parental health shocks on child education and labour. Three measures of parental health are analysed: chronic illness, hospitalisation, and functional health status. The results show that the parentʼs illness decreases school enrolment and leads […]

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  • Open Access Journal Articles

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Feasibility, acceptability, and initial outcomes of a psychological adjustment and reintegration program for transitioned military veterans

Reintegration and adjustment to civilian life after military service is crucial for veterans’ mental and physical health. However, there is a lack of evidence-based interventions in Australia that specifically… Read the full article ›

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  • Open Access Journal Articles


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Factors associated with household willingness to pay for Universal Health Coverage in Cameroon: a nationwide cross-sectional analysis

Sustained financing for Universal Health Coverage (UHC) has been a concern for the Cameroon government. Household contributions have been considered as a financing mechanism, but this raises concerns on the wi… Read the full article ›

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  • Open Access Journal Articles

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Senior Software Engineer – HPC debug and analysis tools (Fixed Term Contract), Experienced Professionals, Warwick, UK, Software Engineering

Please note this is a Fixed Term Contract ending Sept 2021

We are looking for a highly skilled, technically capable senior software engineer to join the team of Arm Forge at Warwick. You will be passionate about making a difference through building great quality products.

As an experienced developer, you’ll have a methodical approach to debugging and performance analysis and understand how developers will use our tools to achieve their objectives. Working as part of a team of C++ software engineers based in Warwick you will help to develop the Arm Forge Debug and Profiling tools.

Arm Forge is used by developers to increase software performance or fix software bugs from single Linux servers right up to the largest supercomputer on the planet.  Our tools span a wide range of use cases; from C/C++/Python developers writing multithreaded server applications or ML and data analysis applications, to C/C++/Fortran/Python HPC developers scaling to millions of cores.

To learn more about our group and the products please check https://developer.arm.com/hpc.

Main Duties

We are looking for a highly skilled and motivated senior software engineer who is passionate about producing quality valuable software to join our elite team based in Warwick.

  • Responsible for developing quality functionality on schedule, including specification, design, development, documentation and test.
  • Drive forward major features or improvements and increase quality into the product.
  • Expected to integrate with existing ARM process and infrastructure where possible and use your experience to introduce new processes where required.




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ML Hardware Engineering Internship, Interns/Students, Lund, Sweden, Lund, Sweden, Machine Learning

An internship with Arm gives you exposure to real work and insight into the Arm innovations that shape extraordinary. Students who thrive at Arm take their love of learning beyond their experience of formal education and develop new ideas. This is the energy that interests us.

Internships at Arm will give you the opportunity to put theory into practice through exciting, intellectually challenging, real-world projects that enrich your personal and technical development while enhancing your future career opportunities.

This internship position is within Machine Learning Group in Arm which works on key technologies for the future of computing. Working on the cutting edge of Arm IP, this Group creates technology that powers the next generation of mobile apps, portable devices, home automation, smart cities, self-driving cars, and much more.

When applying, please make sure to include your most up to date academic transcript.

For a sneak peek what it’s like to work in Arm Lund, please have a look at the following video: http://bit.ly/2kxWMXp

The Role

You will work alongside experienced engineers within one of the IP development teams in Arm and be given real project tasks and will be supported by experienced engineers. Examples of previous project tasks are:

  • Developing and trialing new processes for use by the design/verification teams.
  • Investigating alternative options for existing design or verification implementations.
  • Help to develop a hardware platform that can guide out customers to the best solution.
  • Implement complex logic using Verilog to bridge a gap in a system.
  • Develop bare metal software to exercise design functionality.
  • Verify a complex design, from unit to full SoC level.
  • Help to take a platform to silicon.

 




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Machine Learning, Graduates, Cambridge, UK, Software Engineering

Arm's Machine Learning Group is seeking for a highly motivated and creative Graduate Software Engineer to join the Cambridge-based applied ML team.

From research, to proof-of-concept development, to deployment on ARM IPs, joining this team, would be a phenomenal opportunity to contribute to the full life-cycle of machine learning projects and understand how state-of-the-art machine learning is used to solve real word problems.

Working closely with field experts in a truly multi-discipline environment, you will have the chance to explore existing or build new machine learning techniques, while helping unpick the complex world of use-cases that are applied on high end mobile phones, TVs, and laptops.

About the role

Your role would be to understand, develope and implement these use case, collaborating with Arm's system architects, and working with our marketing groups to ensure multiple Arm products are molded to work well for machine learning. Also, experience deploying inference in a mobile or embedded environment would be ideal. Knowledge of the theory and concepts involved in ML is also needed, so fair comparisons of different approaches can be made.

As an in depth technical role, you will need to understand the complex applications you analyse in detail and communicate them in their simplest form to help include them in product designs, where you will be able to influence both IP and system architecture.




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Intern, Research - Machine Learning, Interns/Students, Austin (TX), USA, Research

Arm is the industry's leading supplier of microprocessor technology providing efficient, low-power chip intelligence making electronic innovations come to life.  Through our partners, our designs power everything from coffee machines to the fastest supercomputer in the world. Do you want to work on technology that enriches the lives of over 70% of the world’s population?   Our internship program is now open for applications! We want to hear from curious and enthusiastic candidates interested in working with us on the future generations of compute. 

About Arm and Arm Research 

Arm plays a key role in our increasingly connected world. Every year, more than 10 billion products featuring Arm technology are shipped.  Our engineers design and develop CPUs, graphics processors, neural net accelerators, complex system technologies, supporting software development tools, and physical libraries. 

At Arm Research, we develop new technology that can grow into new business opportunities. We keep Arm up to speed with recent technological developments by pursuing blue-sky research programs, collaborating with academia, and integrating emerging technologies into the wider Arm ecosystem.  Our research activities cover a wide range of fields from mobile and personal computing to server, cloud, and HPC computing. Our work and our researchers span a diverse range from circuits to theoretical computer science. We all share a passion for learning and creating.  

About our Machine Learning group and our work 

Arm’s Machine Learning Research Lab delivers underlying ML technology that enables current and emerging applications across the full ML landscape, from data centers to IoT. Our research provides the building blocks to deliver industry-leading hardware and software solutions to Arm’s partners.  

Our ML teams in Austin and Boston focus on algorithmic and hardware/software co-design to provide top model accuracy while optimizing for constrained environments. This includes defining the architecture and training of our own DNN and non-DNN custom machine learning models, optimizing and creating tools to improve existing state-of-the-art models, exploring techniques for compressing models, transforming data for efficient computation, and enabling new inference capabilities at the edge. Our deliverables include: models, algorithms for compression, library optimizations based on computational analysis, network architecture search (NAS) tools, benchmarking and performance analysis, and ideas for instruction set architecture (ISA) and accelerator architectures. 

We are looking for interns to work with us in key application areas like applied machine learning for semi-conductor design and verification, autonomous driving (ADAS), computer vision (CV), object detection and tracking, motion planning, and simultaneous localization and mapping (SLAM). As a team we are very interested in researching and developing ML techniques that translate into real products and applications; our interns will help us determine which aspects of fundamental ML technology will be meaningful to next generation applications.  

It would be an advantage if you have experience or knowledge in any or some of the following areas:  

  • Foundational Machine Learning technology including algorithms, models, training, and optimisation 

  • Concepts like CNN, RNN, Self-supervised Learning, Federated Learning, Bayesian inference, etc. 

  • ML frameworks (TensorFlow, PyTorch, GPflow, PyroScikit-learn, etc.) and strong programming skills  

  • CPU, GPU, and NN accelerator micro-architecture 

 








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Dusen Dusen + Jen Stark’s Psychedelic Collab Of Summer-Ready Accessories

Designed for Waves Wine, the new terry-cloth beach towel + tote bag is a fusion of Ellen Van Dusen, of Dusen Dusen, and Jen Stark’s signature creative styles.





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The FOCX PIONEER Wallet Could Be the Sleekest Compact Wallet Out

Looking for a high-end, compact wallet with modern tech features? The minimalist FOCX PIONEER wallet could be the new wallet for you.




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Bayes in the Age of Intelligent Machines

Current Directions in Psychological Science, Ahead of Print. The success of methods based on artificial neural networks in creating intelligent machines seems like it might pose a challenge to explanations of human cognition in terms of Bayesian inference. We argue that this is not the case and that these systems in fact offer new opportunities […]

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  • Journal Article Abstracts


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Associations of Racial Equity Training, Policies, and Practices With Routine Supervision Strategies in Community Corrections

Criminal Justice and Behavior, Ahead of Print. Community corrections agencies across the United States are adopting racial equity as a priority in their polices, practices, and staff training, though how racial equity can be translated into the routine practices of probation and parole officers has not been widely discussed. This study examines the associations of […]

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  • Journal Article Abstracts