List of schools with safety-risk concrete revealed as Sunak denies cutting repairs budget – as it happened
Keir Starmer likens the Tories to ‘cowboy builders’ as the PM insists the government acted decisively in response to the problemSchools in England affected by Raac: the full government listThe DfE list shows pupils at 24 schools across England will receive some remote learning because of the concrete crisis, with four schools switching to fully remote learning, PA Media reports.And the list shows 19 schools where the start of term has had to be delayed as a result of collapse-prone concrete.Continue reading...
Source: Guardian Unlimited Science - September 6, 2023 Category: Science Authors: Andrew Sparrow Tags: Politics UK news PMQs Keir Starmer Rishi Sunak Conservatives Labour Schools Education Raac (reinforced autoclaved aerated concrete) House of Commons Gillian Keegan Nicola Sturgeon Leo Varadkar Northern Ireland Northern Irish Source Type: news

Road traffic can be predicted by machine learning equally effectively as by complex microscopic model - Sroczy ński A, Czyżewski A.
Since high-quality real data acquired from selected road sections are not always available, a traffic control solution can use data from software traffic simulators working offline. The results show that in contrast to microscopic traffic simulation, the a...
Source: SafetyLit - September 6, 2023 Category: International Medicine & Public Health Tags: Engineering, Physics, Structural Soundness and Failure Source Type: news

Unveiling the role of social media in mental health: a GAN-based deep learning framework for suicide prevention - Kancharapu R, Ayyagari SN.
In recent years, there has been a significant increase in user participation on social networking media sites. These platforms generate vast amounts of diverse data that have a substantial impact on the mental health of the general public. Suicide, being a...
Source: SafetyLit - September 6, 2023 Category: International Medicine & Public Health Tags: Media, Marketing, and Internet Issues Source Type: news

Covid surge in schools are leading to widespread absences
A late summer COVID surge is prompting some school districts to reinstate safety measures, as they try to protect student and teacher health without risking further disruptions to learning. Why it matters: Widespread school closings are a non-starter, and officials in red and blue states also…#kentucky #philadelphia #republicans #latimes #leanawen #georgesbenjamin #cdc
Source: Reuters: Health - September 6, 2023 Category: Consumer Health News Source Type: news

Deep-learning model classifies breast ultrasound findings
A deep-learning model that uses vision transformers for image classificatio...Read more on AuntMinnie.comRelated Reading: Combined AI mammo texture model improves cancer risk assessment Ultrasound-guided magnetic seeds localize breast lesions Can AI risk assessment improve screening mammography results? AI doesn't improve breast cancer screening in dense breasts AI model uses diverse data to predict breast cancer
Source: AuntMinnie.com Headlines - September 6, 2023 Category: Radiology Source Type: news

The Battle Over Books3 Could Change AI Forever
After OpenAI released GPT-3 in July 2020, independent artificial intelligence researcher Shawn Presser and a few of his fellow machine-learning enthusiasts set a challenge for themselves: Could they recreate it? “We were like, OK, there’s actually not that much standing in the way of us doing this…#openai #gpt3 #shawnpresser #discord #librarygenesis #eye #bibliotik #aaronswartz #stephenking #margaretatwood
Source: Reuters: Health - September 5, 2023 Category: Consumer Health News Source Type: news

First encounters with the automated vehicle: development and evaluation of a tutorial concept to support users of partial and conditional driving automation - Feinauer S, Voskort S, Groh I, Petzoldt T.
With automated driving functions entering the market the need for user education of these functions arises. Education during the first automated drive is a time-efficient approach with the potential to foster engagement in learning content on the automated...
Source: SafetyLit - September 5, 2023 Category: International Medicine & Public Health Tags: Distraction, Fatigue, Chronobiology, Vigilance, Workload Source Type: news

Secure intrusion detection by differentially private federated learning for inter-vehicle networks - Xu Q, Zhang L, Ou D, Yu W.
Along with providing several benefits, the unprecedented growth of connected and automated vehicles brings worries about damaging cyber attacks. Network-based intrusion detection systems (IDSs) using deep learning methods can effectively mitigate the threa...
Source: SafetyLit - September 5, 2023 Category: International Medicine & Public Health Tags: Engineering, Physics, Structural Soundness and Failure Source Type: news

A quantile-regression physics-informed deep learning for car-following model - Liu J, Jiang R, Zhao J, Shen W.
Car-following models have been extensively studied using either theory-driven models or data-driven models. On the other hand, theory-driven models have low accuracy, whereas data-driven models have poor interpretability and require a high-quality training...
Source: SafetyLit - September 5, 2023 Category: International Medicine & Public Health Tags: Engineering, Physics, Structural Soundness and Failure Source Type: news

Single-track railway scheduling with a novel gridworld model and scalable deep reinforcement learning - Yang F, Yang Y, Ni S, Liu S, Xu C, Chen D, Zhang Q.
This study proposes a deep reinforcement learning approach for bi-direction single-track railway scheduling called DRLA-eTGM. The goal is to define the departure times and track allocation without conflict for all trains on the line given their speed, prio...
Source: SafetyLit - September 4, 2023 Category: International Medicine & Public Health Tags: Engineering, Physics, Structural Soundness and Failure Source Type: news

Coordinated variable speed limit control for consecutive bottlenecks on freeways using multiagent reinforcement learning - Zheng S, Li M, Ke Z, Li Z.
Most of the current variable speed limit (VSL) strategies are designed to alleviate congestion in relatively short freeway segments with a single bottleneck. However, in reality, consecutive bottlenecks can occur simultaneously due to the merging flow from...
Source: SafetyLit - September 4, 2023 Category: International Medicine & Public Health Tags: Engineering, Physics, Structural Soundness and Failure Source Type: news

Beyond tsunami fragility functions: experimental assessment for building damage estimation - Vescovo R, Adriano B, Mas E, Koshimura S.
Tsunami fragility functions (TFF) are statistical models that relate a tsunami intensity measure to a given building damage state, expressed as cumulative probability. Advances in computational and data retrieval speeds, coupled with novel deep learning ap...
Source: SafetyLit - September 4, 2023 Category: International Medicine & Public Health Tags: Disaster Preparedness Source Type: news

Detection of driver distraction in the Australian naturalistic driving study videos using pre-trained models and transfer learning - Elhenawy M, Masoud M, Haworth N, Young K, Rakotonirainy A, Grzebieta R, Williamson A.
Naturalistic driving data (NDS), collected from fitted vehicles with multiple sensors, including cameras, is a rich source to understand how drivers become distracted. However, detecting the distraction events traditionally required watching NDS videos whi...
Source: SafetyLit - September 4, 2023 Category: International Medicine & Public Health Tags: Distraction, Fatigue, Chronobiology, Vigilance, Workload Source Type: news

Instructional learning of threat-related attentional capture is modulated by state anxiety - Gr égoire L, Anderson BA.
The present study aimed to determine whether persistent threat-related attentional capture can result from instructional learning, when participants acquire knowledge of the aversive qualities of a stimulus through verbal instruction. Fifty-four nonclinica...
Source: SafetyLit - September 4, 2023 Category: International Medicine & Public Health Tags: Economics of Injury and Safety, PTSD, Injury Outcomes Source Type: news

Patterns of violence and mental health outcomes characterizing vulnerability in SGM college students before and during the COVID-19 pandemic - Deng W, Xie H, Creighton M, Lin BY.
Lockdown measures and remote learning during the COVID-19 pandemic have had a large impact on the mental health of college students. Sexual and gender minority (SGM) students are especially at risk for sexual violence and subsequent adverse mental health o...
Source: SafetyLit - September 4, 2023 Category: International Medicine & Public Health Tags: Age: Adolescents Source Type: news

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