Averting an asteroid strike will need many of the same skills we must hone to tackle climate change and future pandemics

Extreme weather and a growing population is driving a food security crisis. What can we do to break the vicious cycle of carbon emissions, climate change and soaring food costs – or is it already too late?

Title: Slowed Reflexes in Aging Could Be Due to Brain Changes
Category: Health News
Created: 8/24/2010 2:10:00 PM
Last Editorial Review: 8/25/2010 12:00:00 AM

Title: Migraines Linked to Changes in Brain Structure
Category: Health News
Created: 8/28/2013 4:36:00 PM
Last Editorial Review: 8/29/2013 12:00:00 AM

Title: Climate Change May Bring More ER Visits, Deaths, Study Says
Category: Health News
Created: 8/21/2015 12:00:00 AM
Last Editorial Review: 8/24/2015 12:00:00 AM

Title: Climate Change May Prolong Smog Season in Southeast U.S.
Category: Health News
Created: 8/23/2016 12:00:00 AM
Last Editorial Review: 8/23/2016 12:00:00 AM

Title: Pediatricians Sound Alarm on Rapid Weight Changes in Young Athletes
Category: Health News
Created: 9/1/2017 12:00:00 AM
Last Editorial Review: 9/1/2017 12:00:00 AM

Title: Will Climate Change Bring More Highway Deaths?
Category: Health News
Created: 8/31/2017 12:00:00 AM
Last Editorial Review: 9/1/2017 12:00:00 AM

Title: Is Climate Change Draining Nutrients From Crops?
Category: Health News
Created: 8/27/2018 12:00:00 AM
Last Editorial Review: 8/28/2018 12:00:00 AM

Title: Pediatricians Make Change to Child Car Seat Guidelines
Category: Health News
Created: 8/30/2018 12:00:00 AM
Last Editorial Review: 8/30/2018 12:00:00 AM

Title: Climate Change Hiking Danger of Flesh-Eating Bacteria Infections
Category: Health News
Created: 8/23/2019 12:00:00 AM
Last Editorial Review: 8/26/2019 12:00:00 AM

Title: Climate Change Raises Athletes' Risk of Heat Illness
Category: Health News
Created: 8/27/2019 12:00:00 AM
Last Editorial Review: 8/27/2019 12:00:00 AM

Title: For Muslim Pilgrimage, Climate Change Poses Health Risks
Category: Health News
Created: 8/28/2019 12:00:00 AM
Last Editorial Review: 8/29/2019 12:00:00 AM

Title: AHA News: Mysterious Stroke at 38 Changed How Popular Speaker Connects With a Crowd
Category: Health News
Created: 8/28/2019 12:00:00 AM
Last Editorial Review: 8/29/2019 12:00:00 AM

Title: Changes to CDC's COVID-19 Testing Guidelines Trigger Concern
Category: Health News
Created: 8/26/2020 12:00:00 AM
Last Editorial Review: 8/27/2020 12:00:00 AM

Title: No Change in Adolescent Drug, Alcohol Use During Pandemic
Category: Health News
Created: 8/24/2021 12:00:00 AM
Last Editorial Review: 8/24/2021 12:00:00 AM

Title: Little Change in Number of Uninsured in Pandemic's First Year
Category: Health News
Created: 8/23/2021 12:00:00 AM
Last Editorial Review: 8/24/2021 12:00:00 AM

Title: Change to Diagnosis of Gestational Diabetes Helped Women
Category: Health News
Created: 8/18/2022 12:00:00 AM
Last Editorial Review: 8/18/2022 12:00:00 AM

Title: Changes in Menstrual Cycle Can Come After COVID Shot
Category: Health News
Created: 7/18/2022 12:00:00 AM
Last Editorial Review: 7/18/2022 12:00:00 AM

The COVID-19 pandemic has highlighted the critical role of genomic surveillance for guiding policy and control. Timeliness is key, but sequence alignment and phylogeny slow most surveillance techniques. Millions of SARS-CoV-2 genomes have been assembled. Phylogenetic methods are ill equipped to handle this sheer scale. We introduce a pangenomic measure that examines the information diversity of a k-mer library drawn from a country's complete set of clinical, pooled, or wastewater sequence. Quantifying diversity is central to ecology. Hill numbers, or the effective number of species in a sample, provide a simple metric for comparing species diversity across environments. The more diverse the sample, the higher the Hill number. We adopt this ecological approach and consider each k-mer an individual and each genome a transect in the pangenome of the species. Structured in this way, Hill numbers summarize the temporal trajectory of pandemic variants, collapsing each day's assemblies into genome equivalents. For pooled or wastewater sequence, we instead compare days using survey sequence divorced from individual infections. Across data from the UK, USA, and South Africa, we trace the ascendance of new variants of concern as they emerge in local populations well before these variants are named and added to phylogenetic databases. Using data from San Diego wastewater, we monitor these same population changes from raw, unassembled sequence. This history of emerging variants senses all available data as it is sequenced, intimating variant sweeps to dominance or declines to extinction at the leading edge of the COVID-19 pandemic.

Somatic mutations arise and accumulate during tissue culture and vegetative propagation, potentially affecting various traits in horticultural crops, but their characteristics are still unclear. Here, somatic mutations in regenerated woodland strawberry derived from tissue culture of shoot tips under different conditions and 12 cultivated strawberry individuals are analyzed by whole genome sequencing. The mutation frequency of single nucleotide variants is significantly increased with increased hormone levels or prolonged culture time in the range of 3.3 x 10^–8–3.0 x 10^–6 mutations per site. CG methylation shows a stable reduction (0.71%–8.03%) in regenerated plants, and hypoCG-DMRs are more heritable after sexual reproduction. A high-quality haplotype-resolved genome is assembled for the strawberry cultivar "Beni hoppe." The 12 "Beni hoppe" individuals randomly selected from different locations show 4731–6005 mutations relative to the reference genome, and the mutation frequency varies among the subgenomes. Our study has systematically characterized the genetic and epigenetic variants in regenerated woodland strawberry plants and different individuals of the same strawberry cultivar, providing an accurate assessment of somatic mutations at the genomic scale and nucleotide resolution in plants.

COPD and asthma are two of the most common chronic lung diseases, affecting over 545 million people globally and 34 million in the United States. Annual health care costs related to chronic lung disease are estimated at €380 billion in the European Union, and $24–$50 billion in the United States averaging to $4,000 in out-of-pocket costs per person in the U.S. A full-text literature search was conducted for English publications between January 1, 2005–March 18, 2024. It returned over 5,000 publications that were further narrowed using key search words, resulting in 172 peer-reviewed articles. Using their experience and subject expertise, the authors further narrowed the peer-reviewed articles to 55 that were in their opinion relevant. Also, 38 recently published industry reports and news articles specific to downstream effects of inhaler market changes and the future impact were included. The literature suggests that individuals with chronic lung disease face increased challenges with access to inhaled medication due to rising medication costs, discontinuation of branded medications, introduction of generic medications not covered by insurance, exclusionary preferred drug list tactics that force health care providers into non-medical switching of medication or devices, and ongoing medication shortages. Providers experience ongoing hurdles in prescribing appropriate inhaled medications for individuals with chronic lung disease, including increased time and costs spent on administrative tasks due to inhaler denials, a loss of patient trust, and limits on their ability to prescribe appropriate inhaled medication for individuals with chronic lung disease.

Cellular plasticity in adult multicellular organisms is a protective mechanism that allows certain tissues to regenerate in response to injury. Considering that aging involves exposure to repeated injuries over a lifetime, it is conceivable that cell identity itself is more malleable—and potentially erroneous—with age. In this review, we summarize and critically discuss the available evidence that cells undergo age-related shifts in identity, with an emphasis on those that contribute to age-associated pathologies, including neurodegeneration and cancer. Specifically, we focus on reported instances of programs associated with dedifferentiation, biased differentiation, acquisition of features from alternative lineages, and entry into a preneoplastic state. As some of the most promising approaches to rejuvenate cells reportedly also elicit transient changes to cell identity, we further discuss whether cell state change and rejuvenation can be uncoupled to yield more tractable therapeutic strategies.

ABSTRACTIn the Democratic Republic of the Congo (DRC), male engagement, social norms, and social networks mitigate family planning behavior. We discuss the adaptation of the Social Norms Exploration Tool (SNET), which identifies relevant social norms and community members upholding these norms, to inform the development of family planning interventions in the DRC. The SNET provides activity tools and templates to guide users through the following steps: (1) plan and prepare, (2) identify reference groups, (3) explore social norms, (4) analyze results, and (5) apply findings.The SNET approach resulted in discussion of social norms, particularly around birth spacing and gender norms framing the man as the decision-maker. However, despite applying a methodology specifically designed to identify social norms, other factors limiting use of contraceptive methods were identified in the process, including lack of education, rumors, and misconceptions. Adaptations were needed to include the full range of reference groups due to narrow phrasing of primary questions, and some of the participatory methods were overly complicated. Feedback from experienced data collectors suggested that the social norms framework is not intuitive, is difficult to apply correctly, and may require that data collectors have a stronger foundation in the relevant concepts to produce valid and actionable results.Although the SNET provides language for discussing normative factors and techniques to identify reference groups and social norms, modifications to the implementation process are recommended when adapting the tool for research.

Chemotherapy-induced peripheral neuropathy (CIPN) is a common side effect of chemotherapy treatment, routinely manifesting as increased pain sensitivity (allodynia) in distal extremities. Despite its prevalence, effective treatment options are limited. Cannabinoids are increasingly being evaluated for their ability to treat chronic pain conditions, including CIPN. While previous studies have revealed sex differences in cannabinoid-mediated antinociception in acute and chronic pain models, there is a paucity of studies addressing potential sex differences in the response of CIPN to cannabinoid treatment. Therefore, we evaluated the long-term antiallodynic efficacy of cannabinoid receptor type 1 (CB₁)-selective, cannabinoid receptor type 2 (CB₂)-selective, and CB₁/CB₂ mixed agonists in the cisplatin CIPN model, using both male and female mice. CB₁ selective agonism was observed to have sex differences in the development of tolerance to antiallodynic effects, with females developing tolerance more rapidly than males, while the antiallodynic effects of selective CB₂ agonism lacked tolerance development. Compound-specific changes to the female estrous cycle and female plasma estradiol levels were noted, with CB₁ selective agonism decreasing plasma estradiol while CB₂ selective agonism increased plasma estradiol. Chronic administration of a mixed CB₁/CB₂ agonist resulted in increased mRNA expression of proinflammatory cytokines and endocannabinoid regulatory enzymes in female spinal cord tissue. Ovarian tissue was noted to have proinflammatory cytokine mRNA expression following administration of a CB₂ acting compound while selective CB₁ agonism resulted in decreased proinflammatory cytokines and endocannabinoid regulatory enzymes in testes. These results support the need for further investigation into the role of sex and sex hormones signaling in pain and cannabinoid-mediated antinociceptive effects.

Chronic hypertension leads to injury and fibrosis in major organs. Fibroblast activation protein (FAP) is one of key molecules in tissue fibrosis, and ⁶⁸Ga-labeled FAP inhibitor-46 (FAPI46) PET is a recently developed method for evaluating FAP. The aim of this study was to evaluate FAP expression and fibrosis in a hypertension model and to test the feasibility of ⁶⁸Ga-FAPI46 PET in hypertension. Methods: Hypertension was induced in mice by angiotensin II infusion for 4 wk. ⁶⁸Ga-FAPI46 biodistribution studies and PET scanning were conducted at 1, 2, and 4 wk after hypertension modeling, and uptake in the major organs was measured. The FAP expression and fibrosis formation of the heart and kidney tissues were analyzed and compared with ⁶⁸Ga-FAPI46 uptake. Subgroups of the hypertension model underwent angiotensin receptor blocker administration and high-dose FAPI46 blocking, for comparison. As a preliminary human study, ⁶⁸Ga-FAPI46 PET images of lung cancer patients were analyzed and compared between hypertension and control groups. Results: Uptake of ⁶⁸Ga-FAPI46 in the heart and kidneys was significantly higher in the hypertension group than in the sham group as early as week 1 and decreased after week 2. The uptake was specifically blocked in the high-dose blocking study. Immunohistochemistry also revealed FAP expression in both heart and kidney tissues. However, overt fibrosis was observed in the heart, whereas it was absent from the kidneys. The angiotensin receptor blocker–treated group showed lower uptake in the heart and kidneys than did the hypertension group. In the pilot human study, renal uptake of ⁶⁸Ga-FAPI46 significantly differed between the hypertension and control groups. Conclusion: In hypertension, FAP expression is increased in the heart and kidneys from the early phases and decreases over time. FAP expression appears to represent fibrosis activity preceding or underlying fibrotic tissue formation. ⁶⁸Ga-FAPI46 PET has potential as an effective imaging method for evaluating FAP expression in progressive fibrosis by hypertension.

Jade Ho explains what is possible for university students when they are given opportunities to learn about –and get involved with– social justice and labour issues in their own communities.

The post Students can be agents of change: Talking about activism in universities with Jade Ho appeared first on rabble.ca.

The Scotch whisky distiller has announced a major change

Like a plague doctor delicately administering another handful of leeches, Ice Pick Lodge have shared a bit more about the recently announced Pathologic 3, explaining how their plans for the cult epidemic-battling series have progressed since the release of Pathologic 2.

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A Labour minister confirmed that the application process for Personal Independence Payment is being 'kept under review'

Averting an asteroid strike will need many of the same skills we must hone to tackle climate change and future pandemics

Between 2005 and 2021, Facebook, Twitter and YouTube were more likely to make policy changes in the weeks after negative stories in the media

Supremacy, a new book from tech journalist Parmy Olson, takes us inside the rise of machine learning and AI, and examines the people behind it

A US standards agency has issued new guidance saying organisations shouldn’t require users to change their passwords periodically – advice that is backed up by decades of research

Scientists say geoengineering, or doing things like intentionally increasing Earth’s reflectivity or blocking the sun, is a “really big deal” in slowing down climate change. Here are the ideas they are proposing.

Antibiotics can reduce diversity in the gut microbiome, raising the risk of infections that cause diarrhoea - and the effects may last years

On Tuesday, three of nine ballot issues Denver voters had to decide dealt with animals and animal products. But nothing changed because all of them were slaughtered at the ballot  box. One of the ballot issues called for prohibiting any slaughterhouse from operating in the City or County of Denver. That... Continue Reading

Israel has proposed a revised system of food business licensing to ease the regulatory burden on industry and improve sanitary conditions. The Ministry of Health said the current regulation, regarding business licensing in general and food businesses in particular, is outdated and places a heavy regulatory burden on companies. This... Continue Reading

The end of Moore’s Law is looming. Engineers and designers can do only so much to miniaturize transistors and pack as many of them as possible into chips. So they’re turning to other approaches to chip design, incorporating technologies like AI into the process.

Samsung, for instance, is adding AI to its memory chips to enable processing in memory, thereby saving energy and speeding up machine learning. Speaking of speed, Google’s TPU V4 AI chip has doubled its processing power compared with that of its previous version.

But AI holds still more promise and potential for the semiconductor industry. To better understand how AI is set to revolutionize chip design, we spoke with Heather Gorr, senior product manager for MathWorks’ MATLAB platform.

How is AI currently being used to design the next generation of chips?

Heather Gorr: AI is such an important technology because it’s involved in most parts of the cycle, including the design and manufacturing process. There’s a lot of important applications here, even in the general process engineering where we want to optimize things. I think defect detection is a big one at all phases of the process, especially in manufacturing. But even thinking ahead in the design process, [AI now plays a significant role] when you’re designing the light and the sensors and all the different components. There’s a lot of anomaly detection and fault mitigation that you really want to consider.

Heather GorrMathWorks

Then, thinking about the logistical modeling that you see in any industry, there is always planned downtime that you want to mitigate; but you also end up having unplanned downtime. So, looking back at that historical data of when you’ve had those moments where maybe it took a bit longer than expected to manufacture something, you can take a look at all of that data and use AI to try to identify the proximate cause or to see something that might jump out even in the processing and design phases. We think of AI oftentimes as a predictive tool, or as a robot doing something, but a lot of times you get a lot of insight from the data through AI.

What are the benefits of using AI for chip design?

Gorr: Historically, we’ve seen a lot of physics-based modeling, which is a very intensive process. We want to do a reduced order model, where instead of solving such a computationally expensive and extensive model, we can do something a little cheaper. You could create a surrogate model, so to speak, of that physics-based model, use the data, and then do your parameter sweeps, your optimizations, your Monte Carlo simulations using the surrogate model. That takes a lot less time computationally than solving the physics-based equations directly. So, we’re seeing that benefit in many ways, including the efficiency and economy that are the results of iterating quickly on the experiments and the simulations that will really help in the design.

So it’s like having a digital twin in a sense?

Gorr: Exactly. That’s pretty much what people are doing, where you have the physical system model and the experimental data. Then, in conjunction, you have this other model that you could tweak and tune and try different parameters and experiments that let sweep through all of those different situations and come up with a better design in the end.

So, it’s going to be more efficient and, as you said, cheaper?

Gorr: Yeah, definitely. Especially in the experimentation and design phases, where you’re trying different things. That’s obviously going to yield dramatic cost savings if you’re actually manufacturing and producing [the chips]. You want to simulate, test, experiment as much as possible without making something using the actual process engineering.

We’ve talked about the benefits. How about the drawbacks?

Gorr: The [AI-based experimental models] tend to not be as accurate as physics-based models. Of course, that’s why you do many simulations and parameter sweeps. But that’s also the benefit of having that digital twin, where you can keep that in mind—it’s not going to be as accurate as that precise model that we’ve developed over the years.

Both chip design and manufacturing are system intensive; you have to consider every little part. And that can be really challenging. It’s a case where you might have models to predict something and different parts of it, but you still need to bring it all together.

One of the other things to think about too is that you need the data to build the models. You have to incorporate data from all sorts of different sensors and different sorts of teams, and so that heightens the challenge.

How can engineers use AI to better prepare and extract insights from hardware or sensor data?

Gorr: We always think about using AI to predict something or do some robot task, but you can use AI to come up with patterns and pick out things you might not have noticed before on your own. People will use AI when they have high-frequency data coming from many different sensors, and a lot of times it’s useful to explore the frequency domain and things like data synchronization or resampling. Those can be really challenging if you’re not sure where to start.

One of the things I would say is, use the tools that are available. There’s a vast community of people working on these things, and you can find lots of examples [of applications and techniques] on GitHub or MATLAB Central, where people have shared nice examples, even little apps they’ve created. I think many of us are buried in data and just not sure what to do with it, so definitely take advantage of what’s already out there in the community. You can explore and see what makes sense to you, and bring in that balance of domain knowledge and the insight you get from the tools and AI.

What should engineers and designers consider when using AI for chip design?

Gorr: Think through what problems you’re trying to solve or what insights you might hope to find, and try to be clear about that. Consider all of the different components, and document and test each of those different parts. Consider all of the people involved, and explain and hand off in a way that is sensible for the whole team.

How do you think AI will affect chip designers’ jobs?

Gorr: It’s going to free up a lot of human capital for more advanced tasks. We can use AI to reduce waste, to optimize the materials, to optimize the design, but then you still have that human involved whenever it comes to decision-making. I think it’s a great example of people and technology working hand in hand. It’s also an industry where all people involved—even on the manufacturing floor—need to have some level of understanding of what’s happening, so this is a great industry for advancing AI because of how we test things and how we think about them before we put them on the chip.

How do you envision the future of AI and chip design?

Gorr: It’s very much dependent on that human element—involving people in the process and having that interpretable model. We can do many things with the mathematical minutiae of modeling, but it comes down to how people are using it, how everybody in the process is understanding and applying it. Communication and involvement of people of all skill levels in the process are going to be really important. We’re going to see less of those superprecise predictions and more transparency of information, sharing, and that digital twin—not only using AI but also using our human knowledge and all of the work that many people have done over the years.

It's not the reach of a fire that matters most; it's the speed. Understanding this can help society better prepare.

Researchers show the average surface temperature on our planet has shifted between 51.8 to 96.8 degrees Fahrenheit

We spoke to Dr Ian Paul, who is a reverend and member of General Synod and the Archbishops’ Council.

The business secretary Jonathan Reynolds has called for a change of culture at the Post Office, as he gave evidence to the inquiry into the Horizon scandal.

"The goal is to complete the password updates by this evening," government says.

In a 5-4 decision, the Supreme Court struck down a key provision of the Voting Rights Act of 1965, stating that the legislation was based on now outdated data. The ruling removes the coverage formula that required federal oversight for voting processes in nine states.

On May 13, 1985, after a long standoff, Philadelphia municipal authorities dropped a bomb on the headquarters of the African-American radical group MOVE. In the documentary Let the Fire Burn, director Jason Osder uses archival footage to chronicle the years of tension that ended in tragedy.

In a 5-4 decision in U.S. v. Windsor, the Supreme Court ruled the federal Defense Of Marriage Act unconstitutional. The court rules that supporters of California's Proposition 8 case did not have standing to bring the case to court, which means same-sex marriages in California may resume.