Do not speak about your Money in front of a Poor Person.
Do not speak about your Health in front of a Sick Person.
Do not speak about your Power in front of a Weak Person.
Do not speak about your Happiness in front of a Sad Person.
Do not speak about your Children in front of an Infertile Person.
Don't speak about your Mother & Father In front of an orphan.
Ask yourself every day:
What did you try today that might not work but you tried it anyway?
What did you do today to move closer to your goal?
What did you learn today?
What did you do today to be good to yourself?
Were you useful today?
⚛️ A forgotten particle may explain why the universe exists
Why does the universe contain matter instead of nothing at all? That question is one of the most fundamental mysteries in physics. Matter and antimatter are believed to have been produced in nearly equal amounts in the early universe, and because the two annihilate on contact, releasing energy, a perfectly even balance would have left virtually no material to form stars, planets, or life. For reasons physicists are still trying to explain, the young cosmos held slightly more matter than antimatter — and everything that exists today descends from that small surplus.
Now a team from the University of Southampton and the Indian Institute of Technology Kanpur believes it may have found an important piece of the puzzle in an unlikely place: a little-understood relative of the neutrino, itself an extremely lightweight particle that rarely interacts with ordinary matter. Their candidate is a hypothetical decoupled heavy neutrino, a heavier relative that physicists have largely overlooked for decades, generally considering it too weakly connected to other particles to significantly influence the universe. Previous attempts to explain why matter prevailed over antimatter simply left it out of the picture.
The twist, according to the team's calculations, lies in the particle's unusually long lifetime. "This decoupled heavy neutrino has long been dismissed as an irrelevant background detail in particle physics," said Dr. Rishav Roshan of the University of Southampton, an author of the study. "However, it decays incredibly slowly. As the cosmos cooled after the Big Bang, the particle lived long enough that it temporarily took over the energy density of the universe and triggered a matter-dominated period." That brief takeover, the researchers argue, could have altered how the early universe evolved — and with it, the conditions that ultimately allowed matter to outnumber antimatter.
Even a particle with extremely weak interactions, the team found, can exert its influence indirectly. In their proposed scenario, the heavy neutrino shifted the temperature in the early universe at which fundamental particles — electrons and other leptons — interacted with their antiparticles with the help of the Standard Model Higgs boson, the particle associated with the mechanism that gives many elementary particles their mass. "This temperature acts like a switch that shapes how the matter-antimatter imbalance was built up," Roshan explained.
Published in Physical Review Letters, a scientific journal of the American Physical Society, the work offers a new candidate explanation for the imbalance known as matter-antimatter asymmetry. The decoupled heavy neutrino remains hypothetical, its takeover of the early cosmos a proposed scenario rather than an established fact. But the stakes of the question could hardly be higher. "The fact that we are here at all proves that an asymmetry between matter and antimatter occurred," Roshan added.
📎 Paper: ScienceDaily
#physics #cosmology #neutrino #BigBang #ParticlePhysics
There are five things you must learn to control.
First - your Mouth. Speak less. Speak kind.
Second, your Mind. Keep it calm
Third, your Mood. Don’t let it swing you like a leaf in the wind.
Fourth, your Manner. Stay humble and respectful.
Fifth, your Money. Use it wisely.
Control these five M’s, and you won’t have to chase peace — it will find you.
🧠 An AI Agent Chose a Therapy and Injected It Into a Live Mouse's Brain. It Did Not Perform the Surgery
Gabriel Ocana-Santero, founder of the startup Exin Therapeutics, described how his team connected an AI agent to a custom stereotaxic rig with a camera and gave it one task: here is a mouse model of epilepsy and a spreadsheet of 19 gene therapy options — make the seizures go away. Wired reported the experiment.
What the agent did. It worked out how seizures arise in this particular model and chose a therapy that boosts a specific inhibitory signalling pathway. It picked the brain structure the literature identifies as the origin of that seizure type, and it rejected a second candidate region with an explicit argument: the effects there were too unreliable, and one study had failed against exactly this seizure type. It derived the injection coordinates from three papers, cross-checked the reference points and averaged the values. It set the volume itself — 250 nanolitres — along with the injection speed and the waiting periods. During the procedure it watched the surgical field through the camera, made 32 observations and reported whether there was bleeding at the entry site.
What it did not do. It did not operate. A licensed veterinary surgeon performed the craniotomy while the agent observed. Every irreversible step passed through that veterinarian, who also held a physical switch that would cut power to all the motors. On top of that, the rig enforced fixed limits — a cap on injection volume among them — which the agent was expressly forbidden to bypass.
The most interesting part is the choice of model. The team first tried Claude Opus 5.5, which refused to guide the needle into the mouse's brain, explaining that it could not guarantee finishing the procedure — and that stopping with a needle in an anaesthetised animal's brain would be worse than not starting. Opus 5 produced the plan on paper but also refused live surgery. Only Sonnet 5 agreed — so the procedure was carried out not by the most capable model, but by the one that said yes.
One episode says more than the result. Midway through, the rig's coordinate system turned out to be off. The agent correctly recognised that its computed position was wrong but refused to modify the code, because its instructions forbade it. The team had to bring up a second agent on Opus 5 to make the code change — without telling it that a live operation was under way. That back-and-forth stretched the procedure to slightly over an hour instead of the usual 45 minutes.
And now the part the headlines skip. The success here is a successfully performed injection: the mouse recovered and was recorded moving around its enclosure. Whether the therapy actually reduced the seizures has not yet been measured — the team is waiting for the compound to take effect before assessing its impact. So this is not "an AI cured epilepsy in a mouse" but "an AI planned and technically delivered a treatment". There is no peer-reviewed publication, only a company account and the founder's thread, and the case is a single animal with no control group. The claim that this is the first time an agent has chosen a treatment and delivered it into a living mammal is Ocana-Santero's own — he says he is not aware of a precedent, and it has not been independently verified.
📎 Sources: Wired · The Decoder
#AI #Neuroscience #GeneTherapy #Epilepsy #Science
🐕 Chernobyl's Dogs Show Signatures of Selection — But No Superpowers
Free-breeding dogs in the Chornobyl Exclusion Zone carry genomic signatures of directional selection at more than 100 sites in their DNA. The work appears in the journal Genes; the first author is Megan Dillon of North Carolina State University, with Timothy Mousseau (University of South Carolina) and Norman Kleiman (Columbia University) among the co-authors.
The story began earlier. In 2023 the same group showed that the two dog populations in the zone — one living at the power plant itself, the other in Chornobyl City — differ sharply in genetic terms despite being only about 16 kilometres apart. City dogs looked like free-breeding dogs from Russia, Poland and Eastern Europe, while the plant dogs stood apart, including in regions associated with DNA repair.
The new paper tests two competing explanations: selection or drift. The distinction matters. Drift is random change that becomes common in a small, isolated population simply because it is more likely to be passed on, and it usually reduces genome-wide diversity. Selection is the spread of variants that raise fitness. To separate isolation from environment, the team compared both Chornobyl populations with free-breeding dogs from Eastern Europe and with an isolated population from the Galápagos Islands.
The evidence against drift. The effective population size of the plant dogs is indeed small, but it does not differ significantly from that of the city population, and the plant dogs show no sign of the reduced genetic variation characteristic of drift. At the same time they differ markedly from other geographically isolated populations, the Galápagos dogs included. More striking still, the city dogs are genetically closer to the Galápagos population than to their neighbours at the plant — so isolation alone cannot explain the pattern.
What turned up in the genome. Over a hundred sites with signatures of directional selection. The genes around them relate to cancer development, DNA replication and repair, cell cycle functions and the immune response — a biologically plausible set for a chronically irradiated environment, since these are the systems that take damage first and determine whether a cell survives.
And now what the study does not show. The authors are careful: Dillon says it cannot be stated for certain that this is selection, though the signatures suggest it. Matthew Breen allows that those with the right variants may simply have survived — and calls that speculation outright. Radiation resistance in these dogs has not been measured and is not demonstrated. The zone also differs from its surroundings in more than radiation — heavy metals, human density, diet and pathogens all vary — so the specific selective pressure remains unidentified. Finally, "signatures of selection" are statistical patterns in the genome rather than a verified mechanism in the cell: proving that a variant actually helps an animal tolerate radiation would require functional experiments.
📎 Paper: Genes · NC State
#Chornobyl #Genetics #Selection #Dogs #Science
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The internet is much bigger than what Google shows you.
What if one timely alert could prevent a tragedy?
I am still shocked after watching the video of the recent Panchkula school incident. It is deeply disturbing to even imagine what that little girl must have gone through. Thankfully, her life was saved, but what if things had turned out differently?
One question keeps coming to my mind: Are our schools truly equipped to identify and respond to such incidents before they escalate into something far worse?
I do not know what drove the child responsible to such an extreme act or what was going on in his mind. However, this incident raises serious concerns about the environment in which our children are growing up.
The influence of society, exposure to violence, surroundings, and a lack of proper guidance may all contribute to shaping a child's behaviour. Parents, teachers, psychologists, and society must collectively pay attention to these factors and work towards creating a safer environment for our children.
We often hear about school violence and tragic shootings in the United States. We should not wait for similar situations to become a reality here before taking preventive action.
As an engineer, I would like to put forward one practical suggestion.
Can we move beyond traditional CCTV surveillance and use AI to help prevent incidents before they happen?
Today, many schools invest in CCTV surveillance systems. However, are we using these cameras only to record incidents, or can we make them intelligent enough to help identify potential dangers in real time?
At a time when the world is advancing towards quantum computing and artificial superintelligence, it is worth asking whether we are making the best use of the technology already available to us.
Modern AI-based video analytics can potentially do much more than simply record footage. With appropriate configuration, they can identify predefined patterns of potentially harmful behaviour and generate real-time alerts.
Imagine a situation where:
- An AI-based system detects physical aggression or a potentially dangerous incident.
- An immediate alert is triggered in the CCTV control room or the principal's office.
- The relevant camera feed automatically appears on the monitoring screen, allowing authorities to assess the situation.
- Security personnel and school authorities are immediately notified so they can intervene before the situation escalates.
The good news is that this may not even require an entirely new CCTV infrastructure.
Depending on the compatibility of existing systems, schools could potentially upgrade their surveillance infrastructure with AI-based video analytics, intelligent monitoring software, and emergency alert integration.
Of course, technology alone cannot solve this problem. Better supervision, psychological counselling, parental involvement, awareness, and timely intervention are equally important.
AI-based surveillance should be treated as an additional layer of protection, not a replacement for human judgment, proper supervision, or professional intervention. Any implementation must also respect children's privacy, protect their data, and include appropriate safeguards against false alarms.
My suggestion to school administrations, education boards, and the concerned education authorities is simple:
Let's move beyond traditional CCTV recording and start exploring intelligent surveillance as a preventive safety measure.
CCTV should not just help us see what happened after an incident. It should help us identify potential danger early enough to prevent it from happening.
Our schools are meant to be safe spaces where children learn, grow, and build their futures.
Let's not wait for another tragedy to remind us of our responsibility.
Prevention is always better than regret.
#Panchkula #Childsafety #Schoolsafety #PanchkulaSchool
What if one timely alert could prevent a tragedy?
I am still shocked after watching the video of the recent Panchkula school incident. It is deeply disturbing to even imagine what that little girl must have gone through. Thankfully, her life was saved, but what if things had turned out differently?
One question keeps coming to my mind: Are our schools truly equipped to identify and respond to such incidents before they escalate into something far worse?
I do not know what drove the child responsible to such an extreme act or what was going on in his mind. However, this incident raises serious concerns about the environment in which our children are growing up.
The influence of society, exposure to violence, surroundings, and a lack of proper guidance may all contribute to shaping a child's behaviour. Parents, teachers, psychologists, and society must collectively pay attention to these factors and work towards creating a safer environment for our children.
We often hear about school violence and tragic shootings in the United States. We should not wait for similar situations to become a reality here before taking preventive action.
As an engineer, I would like to put forward one practical suggestion.
Can we move beyond traditional CCTV surveillance and use AI to help prevent incidents before they happen?
Today, many schools invest in CCTV surveillance systems. However, are we using these cameras only to record incidents, or can we make them intelligent enough to help identify potential dangers in real time?
At a time when the world is advancing towards quantum computing and artificial superintelligence, it is worth asking whether we are making the best use of the technology already available to us.
Modern AI-based video analytics can potentially do much more than simply record footage. With appropriate configuration, they can identify predefined patterns of potentially harmful behaviour and generate real-time alerts.
Imagine a situation where:
- An AI-based system detects physical aggression or a potentially dangerous incident.
- An immediate alert is triggered in the CCTV control room or the principal's office.
- The relevant camera feed automatically appears on the monitoring screen, allowing authorities to assess the situation.
- Security personnel and school authorities are immediately notified so they can intervene before the situation escalates.
The good news is that this may not even require an entirely new CCTV infrastructure.
Depending on the compatibility of existing systems, schools could potentially upgrade their surveillance infrastructure with AI-based video analytics, intelligent monitoring software, and emergency alert integration.
Of course, technology alone cannot solve this problem. Better supervision, psychological counselling, parental involvement, awareness, and timely intervention are equally important.
AI-based surveillance should be treated as an additional layer of protection, not a replacement for human judgment, proper supervision, or professional intervention. Any implementation must also respect children's privacy, protect their data, and include appropriate safeguards against false alarms.
My suggestion to school administrations, education boards, and the concerned education authorities is simple:
Let's move beyond traditional CCTV recording and start exploring intelligent surveillance as a preventive safety measure.
CCTV should not just help us see what happened after an incident. It should help us identify potential danger early enough to prevent it from happening.
Our schools are meant to be safe spaces where children learn, grow, and build their futures.
Let's not wait for another tragedy to remind us of our responsibility.
Prevention is always better than regret.
#Panchkula #Childsafety #Schoolsafety