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Category: health – Page 158

This paper aims to promote a quantum framework that analyzes Industry 4.0 cyber-physical systems more efficiently than traditional simulations used to represent integrated systems. The paper proposes a novel configuration of distributed quantum circuits in multilayered complex networks that enable the evaluation of industrial value creation chains. In particular, two different mechanisms for the integration of information between circuits operating at different layers are proposed, where their behavior is analyzed and compared with the classical conditional probability tables linked to the Bayesian networks. With the proposed method, both linear and nonlinear behaviors become possible while the complexity remains bounded. Applications in the case of Industry 4.0 are discussed when a component’s health is under consideration, where the effect of integration between different quantum cyber-physical digital twin models appears as a relevant implication.

Subject terms: Quantum simulation, Qubits.

Cyber-physical systems (CPS) are integrations of computational and physical components that can interact with humans through new and different modalities. A key to future technological development is precisely this new and different capacity of interaction together with the new possibilies that these systems pose for expanding the capabilities of the physical world through computation, communication and control1. When CPS are understood within the industrial practice fueled by additional technologies such as Internet of Things (IoT), people refer to the Industry 4.0 paradigm2. The design of many industrial engineering systems has been performed by separately considering the control system design from the hardware and/or software implementation details.

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In a recent study published in the journal Eurosurveillance, researchers examine antibiotic resistance genes (ARGs) and their mobility in Bifidobacteriales and Lactobacillales species through the use of a unified bioinformatic pipeline to isolate these bacteria from food and probiotic sources.

Study: A survey on antimicrobial resistance genes of frequently used probiotic bacteria, 1901 to 2022. Image Credit: MilletStudio / Shutterstock.com.

Identifying potential sources of AMR is important, as it is one of the key threats to the treatment of multiple communicable diseases worldwide in both humans and animals. Excessive antimicrobial use (AMU) has contributed to a surge in AMR rates worldwide; however, despite mitigation measures to decrease AMU, excessive antibiotic use by animals and humans remains a common practice in many nations.

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People around the globe are so dependent on the internet to exercise socioeconomic human rights such as education, health care, work, and housing that online access must now be considered a basic human right, a new study reveals.

Particularly in , can make the difference between people receiving an education, staying healthy, finding a home, and securing employment—or not.

Even if people have offline opportunities, such as accessing schemes or finding housing, they are at a comparative disadvantage to those with Internet access.

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The World Health Organization confirmed an outbreak of the virus in Equatorial Guinea and Tanzania earlier this year. Authorities first issued a warning for Equatorial Guinea in February following a series of deaths in early January. The Ministry of Health of Tanzania then announced its own outbreak in late March.

There have been 14 confirmed cases in Equatorial Guinea since the epidemic began, with 10 of those patients dying, according to the CDC An outbreak among a group of fisherman in Tanzania produced eight confirmed cases of the viral fever, five of which were fatal, the CDC said.

The CDC on Thursday warned doctors to watch for possible imported cases and patients exhibiting symptoms that include fever, fatigue, and blood-strained vomit and diarrhea. There have not been any reported cases of Marburg virus thus far in the US and the CDC said the risk of imported cases is relatively low.

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Antibiotic resistance is a major public health threat, ranked as one of the top 10 by the World Health Organization. Every year, in the United States alone, nearly 3 million people are infected by drug-resistant bacteria and fungi, resulting in the death of around 35,000. While antibiotics are crucial in treating infections, overuse has led to the development of antibiotic-resistant strains of bacteria. These infections pose a significant challenge to treatment.

Now, Professor John E. Moses of Cold Spring Harbor Laboratory (CSHL) has developed a new weapon to combat drug-resistant superbugs – an innovative antibiotic that has the ability to shape-shift by rearranging its atoms.

Moses came up with the idea of shape-shifting antibiotics while observing tanks in military training exercises. With rotating turrets and nimble movements, the tanks could respond quickly to possible threats.

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“The eyes are the windows to the soul.” It’s an ancient saying, and it illustrates what we know intuitively to be true — you can understand so much about a person by looking them deep in the eye. But how? And can we use this fact to understand disease?

One company is making big strides in this direction. Israel’s NeuraLight, which just won the Health and Medtech Innovation award at SXSW, was founded to bring science and AI to understanding the brain through the eyes.

A focal disease for NeuraLight is ALS, which is currently diagnosed through a subjective survey of about a dozen questions, followed by tests such as an EEG and MRI.

The patient’s eyes follow dots on a screen, and the AI system measures 106 parameters such as dilation and blink rate in less than 10 minutes. In other words, this will be an AI-enabled digital biomarker.

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Lifestyle behaviors such as eating well and exercising can be significant factors in one’s overall health. But the risk of developing cancer is predominantly at the whim of an individual’s genetics.

Our bodies are constantly making copies of our to produce new cells. However, there are occasional mistakes in those copies, a phenomenon geneticists call mutation. In some cases, these mistakes can alter proteins, fuse genes and change how much a gene gets copied, ultimately impacting a person’s risk of developing cancer. Scientists can better understand the impact of mutations by developing predictive models for tumor activity.

Christopher Plaisier, an assistant professor of biomedical engineering in the Ira A. Fulton Schools of Engineering at Arizona State University, is developing a called OncoMerge that uses genetic data to improve cancer modeling technology.

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