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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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Nevin Manimala Statistics

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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Nevin Manimala Statistics

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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Nevin Manimala Statistics

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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Nevin Manimala Statistics

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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Nevin Manimala Statistics

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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Nevin Manimala Statistics

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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Nevin Manimala Statistics

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

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Nevin Manimala Statistics

To sign-up or not to sign-up: Predictors of problematic social media use among emerging adults

Clin Ter. 2025 May_Jun;176(3):336-343. doi: 10.7417/CT.2025.5231.

ABSTRACT

OBJECTIVE: The pervasiveness of social media has led to a growing cause for concern regarding potential adverse effects that may stem from excessive social media usage, particularly in relation to its psychological effects. The authors in this study investigated problematic social media use and it’s predictors among emerging adults in the Indian context.

METHODS: We employed stratified cluster sampling technique in this cross-sectional study to select a sample of 204 students from government and private institutions. The inclusion criteria was specific to emerging adults aged 18 to 22 years. Tools included a proforma on socio-demographic data, the Social Media Disorder Scale and Rosenberg’s Self-Esteem Scale. We examined the prevalence and predictors of problematic social media use from self-reports of emerging adults.

RESULTS: Prevalence of problematic social media use was measured at 7.8%. There was a negative correlation observed (r = -0.270, p<0.0001) between problematic social media use and self-esteem of the participants. Living in low-income households and signing up on a single social media platform were protective while lower age at initially signing up and and having a felt need for followers on social media networks increased the odds of problematic social media use.

CONCLUSION: Problematic social media use is inversely correlated with self-esteem of emerging adults. Characteristics of social media usage such as the age at signing up, the number of platforms signed up on and the need for followers significantly predicted problematic social media usage among emerging adults.

PMID:40525366 | DOI:10.7417/CT.2025.5231

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Nevin Manimala Statistics

The effectiveness of the De Ritis ratio in diagnosis and follow-up of Celiac disease: A Retrospective Study

Clin Ter. 2025 May_Jun;173(3):310-316. doi: 10.7417/CT.2025.5227.

ABSTRACT

OBJECTIVES: This study aimed to determine the efficacy of the De Ritis ratio, which is cheaper and easily accessible compared to celiac antibodies, in the diagnosis of celiac disease and in predicting dietary compliance in follow-up.

MATERIAL AND METHODS.: 152 patients over 18 years of age who were diagnosed with celiac disease during a 4-year period in the gastroenterology department of a tertiary care regional hospital and 237 patients without celiac disease as control group were included. Endoscopy and pathology results, laboratory values and pre-diagnostic De Ritis ratios of both groups were compared. Patients with celiac disease were divided into 2 groups as diet-compliant and diet-incompliant. Laboratory values and De Ritis ratios of these 2 groups at diagnosis and at the end of the first year were compared.

RESULTS: There were 152 patients in the celiac group and 237 patients in the control group. AST (p<0.001) and AST/ALT mean value (p<0.001) were higher in the celiac patient group compared to the control group. AST/ALT ratio at the time of diagnosis was similar to the AST/ALT ratio at the end of first year in the diet non-compliant group, but the difference between them was not statistically significant (p=0.945). However, AST/ALT ratio at the end of the first year in diet-compliant celiac patient group was lower than at the time of diagnosis (1.17; 1.02, p<0.001).

CONCLUSION: De Ritis ratio may be a promising inexpensive, simple and easily accessible candidate to help clinicians differentiate Celiac disease and assess disease activity and dietary adherence.

PMID:40525362 | DOI:10.7417/CT.2025.5227