◇Sauerkraut Sauce

The greatest invention would be a device or system that lets you eat your cake and have it. ~ Dayvidsen ~

MENTAL AWARENESS WEEK Day 2 – Mindful Moments External change starts with internal reflection. Your mind is a story in progress—take control of the narrative. Brought to you by Royal Klinicians. You matter!!😎👊

Its that time once again,when we bring to your doorsteps a health day program WORLD HYPERTENSION DAY May 17th ,2026 Time 8pm GMT +1 Click on the link below to set a reminder for the space.. Sponsored by Royalklinicians foundation Follow our page for more info..

Its that time once again,when we bring to your doorsteps a health day program WORLD HYPERTENSION DAY May 17th ,2026 Time 8pm GMT +1 Click on the link below to set a reminder for the space.. Sponsored by Royalklinicians foundation Follow our page for more info..

MENTAL HEALTH AWARENESS WEEK DAY 1 : Its okay not to be okay,speak up!! We are on a 7 -Days of empathy streak… Hop in the train with us as we lead you through this jourrney You matter👊💯

Set a reminder for my upcoming Space! twitter.com/i/spaces/1nJOL… WORLD HYPERTENSION DAY May 17th 2026 By 8pm GMT +1 SPONSORED BY ROYAL KLINICIANS FOUNDATION

One big family 🫶

Proceeds to wear noise canceling ear sound stuffs

@Its_Substance Like that's the only opportunity to learn complex surgical skills?

Do you know how many doctors who acquired complex surgical skills because of NYSC? You think typing rubbish here in all caps will render the reality of those doctors unfounded?

Hi @SuellaBraverman , 48 hours ago I asked you to substantiate or withdraw your claim that “250,000 foreign students took £4bn in UK loans.” That time has now passed. You have provided no evidence, no clarification, and no correction. I have taken the time to examine the data myself. I have reviewed materials from the Student Loans Company, the Department for Education, the House of Commons Library, the UK Statistics Authority, and reporting from Times Higher Education. Across these sources, one thing is clear. Your statement is presented in a way that gives the public a deeply misleading impression. Let’s deal with this carefully. The £4bn figure you reference relates to the total value of student loans issued to non UK nationals. It is not a direct cost to the taxpayer. These are loans. They are repaid over time based on income. Presenting that figure as if it were money handed out or lost is not an accurate reflection of how the system works. Then there is your use of the phrase “foreign students.” This is where the distortion becomes more serious. The fact (which you know quite well) is those eligible for UK student finance are not newly arrived international students. They are people with settled status, indefinite leave to remain, refugee status, or long term lawful residence in the UK. They live here. They work here. They pay into the system. And under the law, they are entitled to access student finance. Standard international students on student visas are generally not eligible for these loans. By leaving out that distinction, you create a very different picture in the minds of the public. One where large numbers of people are arriving from abroad and immediately accessing public funds. That is not what the data shows. You also cited a figure of 250,000 without pointing to a clearly published dataset or transparent methodology. Numbers like this carry weight. They should be used with care, not as loose estimates in politically charged statements. I am not interested in party politics. But I am concerned about what this kind of messaging is doing to the country. When lending is presented as spending, and long term residents are presented as outsiders, it fuels resentment. It deepens division. It creates tension where clarity is needed. And ordinary people end up carrying the consequences of that confusion. Like I was being racially attacked and profiled in my initial response to you in X by supporters of your party who were obviously misled and triggered by your misinformation. I did consider legal action. But the reality is that the law is not designed to deal easily with this kind of broad public misrepresentation. You know that, which is why ignoring a challenge like mine carries little immediate consequence. That does not make it acceptable. I will be submitting a formal complaint to the Parliamentary Commissioner for Standards regarding your use of misleading statistical claims in public communication. The public deserves accuracy. Not selective framing. Not distortion. And certainly not narratives that risk turning people against each other on the basis of incomplete facts. Stephen Dada.

General Practice in Nottinghamshire delivered over 8.1 million appointments in 2025 serving a population of almost 1.29 million delivered by 126 practices. GPs aren't lazy or slow, they work flat out with their teams to do the impossible-with less than 10% of the NHS budget.

Hi Hamid, I am Yusuf. I came across your mountains post from yesterday 25/4, and it stopped me completely. I decided to push myself to the limit and implement your formula from scratch, pixel by pixel, as a personal mathematical challenge. After careful study of the image, I have successfully identified and understood 12 of the 14 mathematical objects: ✓ F(x) — color compression to [0, 255] ✓ N_s(x,y) — fractal noise with 6^5 * 5^(-s) frequency scaling ✓ E(x,y) — fractal envelope as a 50-term weighted sum ✓ Z_s(x,y) — layer occlusion product ✓ S(x,y) — sky value ✓ R(x,y) — layer depth value ✓ T(x,y) — distance to mountain center ✓ B(x,y) — slope angle via arctan ✓ A(x,y) — layer brightness ✓ H_v(x,y) — final color channel for v = 0, 1, 2 ✓ Coordinate mapping: x = (m-1000)/600, y = (601-n)/600 ✓ The full N_s structure The two I cannot read precisely enough from the image are: ✗ J_s(x,y) — the mountain shape indicator ✗ K_v(x,y) — the lighting kernel I can see the general structure of both. J_s uses a double exponential with cosine products and E(x,y)/1000 in the exponent, and K_v sums 50 terms of (91/100)^s weighted by cosines involving T, B and v. But the exact coefficients inside the ridge shape term of J_s and the cosine arguments of K_v are too dense to read at the resolution I have. What I am currently seeing in my attempts: the layering and occlusion work correctly and the fractal texture E renders as expected, but without the exact J_s the mountain silhouettes are wrong. Peaks appear at incorrect positions and the snow and rock boundary does not match your image. This is purely a personal challenge. I am not doing this for any commercial purpose. Could you point me to where the full formula is published, or share a higher resolution crop of the equation panel from that post? Even just confirming those two functions would be enough to complete the implementation. Thank you. Yusuf

You can't buy melatonin in the UK. But in the US, it's hard to avoid: it's an ingredient in gas station soft drinks. How general is this kind of thing? Our new beige site looks at every case where medical regulators disagree about whether to approve a medicine (+ does much more)

JUST IN: UK officially approves lifetime smoking ban for anyone born after 2008.

@WelearnACA24578 I use the brain to operate on brains and spine What do you use yours for ? Measure urine output?

AI couldn't edit this

Pluribus is just a rip off of Unity from Rick and Morty

@abassajayi 🙌🏽🙌🏽🙌🏽🙌🏽

Alhamdulillah I have been board certified by the West African college of surgeons as a fellow in Neurosurgery. MBBS MSc MIAD MRCS FWACS

📌Cardiac evaluation of paediatric athletes A clinical consensus 📝 of the #EAPC of the @escardio & the #AEPC #PositionPaper #SportCardiology #CardiologiaDeportiva #EHJ #Pediatrics

I know where you are on this graph