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Nano-engineered thermoelectrics enable scalable, compressor-free cooling

Researchers have unveiled a breakthrough in solid-state cooling technology, doubling the efficiency of today’s commercial systems. Driven by the Lab’s patented nano-engineered thin-film thermoelectric materials and devices, this innovation paves the way for compact, reliable and scalable cooling solutions that could potentially replace traditional compressors across a range of industries.
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Cyberbullying in any form can be traumatizing for kids

New research shows that cyberbullying should be classified as an adverse childhood experience due to its strong link to trauma. Even subtle forms — like exclusion from group chats — can trigger PTSD-level distress. Nearly 90% of teens experienced some form of cyberbullying, accounting for 32% of the variation in trauma symptoms. Indirect harassment was most common, with more than half reporting hurtful comments, rumors or deliberate exclusion. What mattered most was the overall amount of cyberbullying: the more often a student was targeted, the more trauma symptoms they showed.
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Nevin Manimala Statistics

Superconductors: Amazingly orderly disorder

A surprising connection has been found, between two seemingly very different classes of superconductors. In a new material, atoms are distributed irregularly, but still manage to create long-range magnetic order.
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Digital lab for data- and robot-driven materials science

Researchers have developed a digital laboratory (dLab) system that fully automates the material synthesis and structural, physical property evaluation of thin-film samples. With dLab, the team can autonomously synthesize thin-film samples and measure their material properties. The team’s dLab system demonstrates advanced automatic and autonomous material synthesis for data- and robot-driven materials science.
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New survey shows privacy and safety tops list of parental concerns about screen time

As kids spend more time on screens, a new national survey conducted by Ipsos on behalf of The Kids Mental Health Foundation, founded by Nationwide Children’s Hospital, identifies parents’ greatest fears for their children around screen time.
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A Big Data approach for battery electrolytes

A new article puts artificial intelligence and machine learning on the task of finding new, powerful electrolytes for designing next-generation batteries for electric vehicles, phones, laptops and grid-scale energy storage. The paper outlines a new framework for finding molecules that maximize three components that make an ideal battery electrolyte — ionic conductivity, oxidative stability and Coulombic efficiency.
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Making AI models more trustworthy for high-stakes settings

Researchers made a technique that improves the trustworthiness of machine-learning models, which could help improve the accuracy and reliability of AI predictions for high-stakes settings such health care.
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How can we optimize solid-state batteries? Try asking AI

Researchers have developed a data-driven AI framework that gives scientists a head start by suggesting ideal candidate materials.
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Light-based data made clearer with new machine learning method

Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis.
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Contribution Of Postmortem Computed Tomography in evaluation of fatal work accidents: A Case Study During The Covid-19 Pandemic State

Clin Ter. 2025 May_Jun;176(3):363-370. doi: 10.7417/CT.2025.5235.

ABSTRACT

INTRODUCTION: Workplace safety is continually improving in many developed countries, but, despite this, work-related injuries, including fatal ones, are on the rise. Furthermore, in all cases of serious non-fatal accidents, a high morbidity rate for workers has been documented, burdened by an equally large expense that the State will have to sustain as damage compensation. Often, in case of fatal accidents, it is necessary to reconstruct the dynamics that caused the death, which makes it necessary to analyze all the lesions detectable on corpses. In this perspective, postmortem computed tomography (PMCT) has become essential to increase the speed and diagnostic accuracy, especially in case of lesions affecting the bone structures.

METHODS: A retrospective analysis aimed at evaluating the data collected from judicial autopsies performed between January 2019 and the recent month of March 2023 was carried out, focusing on those related to fatal accidents occurred at work.

RESULTS: According to the inclusion criteria, 18 out of the 204 autopsies carried out during the pre-established time frame were included, as certainly classifiable as “occupational deaths”. Among the 18 enrolled corpses, 16 were male and 2 female subjects. The traumatic events responsible of the death were analysed: 40% were related to falls from heights greater than 2 meters, 28% to explosion, 22% to accidental crush, 5% to electrocution and 5% to semi-truncation.

DISCUSSION AND CONCLUSIONS: Among fatal accidents, those related to falls from great heights and crushing are described as the most common, while among the least common are deaths due to electrocution. With reference to the location of injuries, those involving the head are considered the most fatal, while rib fractures are considered as the most common. In this context, postmortem computed tomography can be very helpful, not only for the two- and three-dimensional reconstruction of fractures, but also for understanding the dynamics with which fatal accidents develop in the workplace. This can both ensure a better assessment of the responsibilities of workers and/or the employer, and lead to the evaluation of the suitability of protective devices, also allowing to make them safer.

PMID:40525370 | DOI:10.7417/CT.2025.5235