@mia_kpoper5: حیحیییی . ‌‌. . . . #funny #blackpink #kpop #rose #foryou

᮫᮫᮫᮫᮫᮫᮫ ᮫᮫𝖬𝗂𝖺 𝖾𝖽𝗂𝗍𝒿ꨵ
᮫᮫᮫᮫᮫᮫᮫ ᮫᮫𝖬𝗂𝖺 𝖾𝖽𝗂𝗍𝒿ꨵ
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Region: IR
Sunday 14 June 2026 11:38:42 GMT
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samad.sadeqi
Samad Sadeqi :
همه باهم😂😂😂😂😂😂 تو رستم تهمتمی😂😂😂😂😂😂😂😂😂😂😂😂😂😂
2026-06-30 15:33:02
70
ladykosar
Kosar :
یک جابودم نباید میخندیدم ولی خندیدم🤣
2026-07-01 17:29:56
41
army_bt231
🎀고조 :
امروز سومین باره از این ادیتا میبینم🤣
2026-06-19 19:05:45
61
paniz_iranian
Paniz Panah ali nia :
حرف حق زد با تموم وجودم دارم درکش میکنم 😭😭😭
2026-07-01 11:59:33
11
dear.bap7
𝒞heyeon :
بانووو میشه فالوم کنی
2026-06-14 22:25:26
1
darya.javani
darya javani :
🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣وای یا ابلفضل وای جر
2026-07-15 14:01:19
1
paryakamali
paryakamali :
وااااییی یخیییلییی خوووببب بوددد
2026-06-30 22:59:19
2
user3548665782057
🎀Eliana🎀 :
این چه حرفیه
2026-07-01 11:45:31
2
atena2210
Elfuy💤🎀 :
تو رستم تهمتمی بزن که خوب میزنی
2026-07-17 08:42:48
1
ramila.safari
Ramila Safari :
میشه فالوم کنین 🥺🥺
2026-06-29 14:55:04
1
gost.dark03
): :
تاحالا تو عمرم آنقدر نخندیدمممم😂😂😂😂😂😂😂😂😂😂😂😂 ریدممممممم
2026-07-07 08:29:00
2
me8890hosseini
iim_889_0 :
وایییی . گناهه داشتتت😭🤣😂
2026-07-09 13:58:25
1
tahrh5
Rose :
عررررررر مردم از خنده😂😂
2026-07-11 08:22:30
3
ghazi.878
ghazal.878 :
اخ خدااااا دلم سوختتتت😭🤣🤣🤣🤣🤣
2026-07-10 12:22:26
1
soha7897
Soha :
وای دقیقا 🤣🤣🤣🤣🤣🤣🤣🤣🤣
2026-06-29 06:05:37
2
reza.tondro5
reza tondro :
همدردیم😂
2026-07-02 21:24:06
1
1312_ronak._babae
💤🚬 بی دندون 🦷😜 :
واییییییییییببیییییییییییی 😁😁😂😂😂😂😂😂
2026-06-30 12:12:25
1
neymar10berezil
✰𝐌𝐀𝐕𝐈𝐄┃🇧🇷 :
وای دقیقا🤣🤣🤣🤣
2026-06-28 16:50:39
1
1393dina
1393dina :
حرف حق
2026-07-18 12:15:38
0
atrin0811
Atrin :
بگردمم😂
2026-07-20 10:20:20
0
marvasarparast
marva:🤍) :
بچههه هاا این فانن نیستتت😭
2026-07-19 21:58:54
1
elnaz5341
𝐍𝐚𝐫𝐮𝐭𝐨 :
واییییییییییی خیلی خوب بوددددد😂
2026-07-20 12:50:01
0
raha2943
𝓡𝒶𝒽𝒶 :
از خنده مردم🤣🤣🤣🤣
2026-06-20 21:33:01
0
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The quest to master controlled nuclear fusion centers on a single, monumentally difficult objective: stabilizing plasma. Inside a tokamak reactor like ITER or SPARC, hydrogen isotopes are heated to over 150,000,000 degrees Celsius, converting the gas into an ultra-hot cloud of fully ionized electrons and nuclei. Managing this state of matter has been compared to holding a blob of jelly together using nothing but rubber bands. Because plasma behaves as a highly turbulent, conductive fluid, it is susceptible to severe magnetohydrodynamic (MHD) instabilities. As intense magnetic fields compress the core, the plasma naturally attempts to expand, creating sudden geometric kinks and micro-tears. If the plasma column touches the physical vessel wall, the reaction terminates instantly due to thermal collapse, and the structural integrity of the multi-billion-dollar machine is put at critical risk. The most destructive events are plasma disruptions. These occur when magnetic confinement is lost in a fraction of a millisecond. A major disruption dumps hundreds of megajoules of thermal energy directly into the reactor’s internal components, inducing severe eddy currents and mechanical stresses equivalent to thousands of tonnes of force. To counteract these dynamic forces, engineers deploy advanced real-time control loops. Deep reinforcement learning algorithms analyze internal diagnostic data thousands of times per second to predict disruptions before they materialize, micro-adjusting external magnetic coils to smooth out the plasma architecture.  For terminal scenarios, automated Shattered Pellet Injection (SPI) systems are designed to fire cryogenic neon ice pellets into the core within 1 to 2 milliseconds, safely radiating the thermal load across the chamber before structural damage can occur. #robotics #engineering #fusion #nuclear #rboticsdepth
The quest to master controlled nuclear fusion centers on a single, monumentally difficult objective: stabilizing plasma. Inside a tokamak reactor like ITER or SPARC, hydrogen isotopes are heated to over 150,000,000 degrees Celsius, converting the gas into an ultra-hot cloud of fully ionized electrons and nuclei. Managing this state of matter has been compared to holding a blob of jelly together using nothing but rubber bands. Because plasma behaves as a highly turbulent, conductive fluid, it is susceptible to severe magnetohydrodynamic (MHD) instabilities. As intense magnetic fields compress the core, the plasma naturally attempts to expand, creating sudden geometric kinks and micro-tears. If the plasma column touches the physical vessel wall, the reaction terminates instantly due to thermal collapse, and the structural integrity of the multi-billion-dollar machine is put at critical risk. The most destructive events are plasma disruptions. These occur when magnetic confinement is lost in a fraction of a millisecond. A major disruption dumps hundreds of megajoules of thermal energy directly into the reactor’s internal components, inducing severe eddy currents and mechanical stresses equivalent to thousands of tonnes of force. To counteract these dynamic forces, engineers deploy advanced real-time control loops. Deep reinforcement learning algorithms analyze internal diagnostic data thousands of times per second to predict disruptions before they materialize, micro-adjusting external magnetic coils to smooth out the plasma architecture. For terminal scenarios, automated Shattered Pellet Injection (SPI) systems are designed to fire cryogenic neon ice pellets into the core within 1 to 2 milliseconds, safely radiating the thermal load across the chamber before structural damage can occur. #robotics #engineering #fusion #nuclear #rboticsdepth

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