Telegram RegisterThe public register of Telegram

Channel

NURAL Forum

@NURAL_Forum

On this record: Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

472subscribers

+0 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001082205383
TypeChannel
Username@NURAL_Forum
CreatedBetween 1 September 2016 and 30 September 2017— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live7 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 7 August 2026
On Telegramt.me/NURAL_Forum

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 4 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

4726 Aug 2026, 20:17 — 472 subscribers7 Aug 2026, 14:55 — 472 subscribers6 Aug 2026, 20:177 Aug 2026, 14:55
2 measurements taken within a single day. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 471–473 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Aug 2026, 14:55472no change
6 Aug 2026, 20:17472first reading

Engagement

18 posts held, back to 11 November 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
12.6%
avg views ÷ 472 subscribers
Avg views / post
59.5
2 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
2
of 18 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 August 2026
Posts held18 (11 November 20255 August 2026)
Views total119
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 20:17 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

Reaction mix

36 reactions across 8 posts, in 4 distinct kinds. The most used accounts for 69.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2569.4%
👌513.9%
👍411.1%
👏25.56%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 8 of the 18 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 36reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 11 November 2025 to 5 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

5 Aug 2026, 17:46 UTC34 viewsread 6 August 2026
Forwarded from @kermanshah_mefdaPhoto

💠 #اخبار_انجمن‌ها l پرتوی یونیزان؛ شمشیری دو لبه در دستان علم ⚛️ از تشخیص بیماری‌ها با اشعه ایکس و گاما تا درمان سرطان با پرتودرمانی... 🔆 از تولید انرژی پاک در نیروگاه‌های هسته‌ای تا استریل‌سازی تجهیزات پزشکی... ⏺ پرتوی یونیزان می‌تواند نجات‌بخش باشد اما همین انرژی نامرئی در صورت بی‌احتیاطی می‌تواند به سلول‌ها، DNA آنها و نسل های آینده بشر آسیب برساند!! 🔬 شناخت + رعایت اصول ایمنی = بهره‌برداری هوشمندانه از یک قدر

Signed Seif

30 Jul 2026, 06:23 UTC85 viewsread 6 August 2026
Forwarded from @mentorismiran1404Photo

دوره جامع و کاربردی آموزش پوسترسازی با محوریت Canva و هوش مصنوعی ویژه طراحی پوستر با هوش مصنوعی آنچه که در این دوره آموزش داده خواهد شد: اصول طراحی پوستر حرفه‌ای در Canva استفاده از قالب‌ها و عناصر گرافیکی پیشرفته تکنیک‌های برندسازی و ایجاد هویت بصری کار با ابزارهای هوش مصنوعی در طراحی تولید محتوای تصویری با AI افزایش سرعت و کیفیت طراحی نکات طلایی برای ساخت پوسترهای جذاب و مؤثر مدرس: آریا الفتی متخصص هوش مصنوعی در

Signed M.M

8 Jul 2026, 15:06 UTC167 viewsread 6 August 2026
Forwarded from @TUMS_PreClinical_CFPhoto

#وبینار_رایگان 📚 آزمایشگاه پيش‌بالینی دانشگاه علوم پزشکی تهران با همکاری شرکت بهین نگاره برگزار می‌کند: 📕 وبینار رایگان استفاده از Micro-CT به عنوان روش استاندارد در محاسبه ی حجم ضایعات داخل استخوانی توسط تصویربرداری CBCT 🔷 مدرسین: دکتر محسن شلالوند متخصص رادیولوژی دهان، فک و صورت دانشگاه علوم پزشکی یابل هادی مرادی دانشجوی دکتری فیزیک پزشکی دانشگاه علوم پزشکی تهران 📌 زمان: 📆 سه‌شنبه ۶ مرداد ۱۴۰۵ 🕘 ساعت ۱۷ الی

Signed Seif

8 Jul 2026, 07:16 UTC127 viewsread 6 August 2026
Forwarded from @TUMS_PreClinical_CFPhoto

#کارگاه_آموزشی 📚 آزمایشگاه پيش‌بالینی دانشگاه علوم پزشکی تهران برگزار می‌کند: 📕 کارگاه جامع آموزش SPECT دوره پیشرفته (ویژه تکنولوژیست‌ها) پس از برگزاری موفق دوره مقدماتی جامع آموزش SPECT و در پاسخ به درخواست همراهان عزیز آزمایشگاه پیش بالینی، امکان برگزاری دوره پیشرفته فراهم شده است✨ تاریخ و هزینه نهایی در صورت به حدنصاب رسیدن اعلام می‌گردد. 📌 زمان برگزاری کارگاه: 📆 تابستان ۱۴۰۵ 🔖 همراه با اعطای گواهی معتبر ب

Signed Seif

29 Jun 2026, 20:27 UTC151 viewsread 6 August 2026
Forwarded from @TUMS_PreClinical_CFPhoto

#کارگاه_آموزشی 📚 آزمایشگاه پيش‌بالینی دانشگاه علوم پزشکی تهران با همکاری شرکت بهین نگاره برگزار می‌کند: 📕 وبینار توسعه و سنتز نانوذرات طلا به عنوان ترکیب حاجب نوین و ارزیابی کاربرد آنها با تصویربرداری میکرو سی تی 🔷 مدرسین: کیانا شهبازخانی دانشجوی دکتری شیمی دارویی دانشگاه شهید بهشتی هادی مرادی دانشجوی دکتری فیزیک پزشکی دانشگاه علوم پزشکی تهران 📌 زمان برگزاری: 📆 سه‌شنبه ۲۳ تیر ماه ۱۴۰۵ 🕘 ساعت ۱۷ الی ۱۸ 📌 نحو

Signed Seif

22 Feb 2026, 19:30 UTC258 views4 reactionsread 6 August 2026
Forwarded from @imsa_kumsPhoto

انجمن علمی دانشجویان پزشکی کرمانشاه با همکاری مجموعه منتورس برگزار می کند؛ دوره جامع اپروچ DVT (همراه با تصویرسازی) سرفصل های دوره؛ ▪️برخورد اولیه با بیمار مشکوک به DVT ▪️علائم کلیدی و تشخیص‌های افتراقی مهم در اورژانس ▪️ارزیابی ریسک با Wells و تصمیم‌گیری بر اساس آن ▪️جایگاه واقعی D-dimer در الگوریتم تشخیص ▪️چه زمانی سونوگرافی داپلر درخواست کنیم ▪️شروع درمان در شیفت و انتخاب داروی مناسب ▪️چه بیمارانی نیاز به بستری د

3👍1

Signed M.M

6 Jan 2026, 07:28 UTC276 views2 reactionsread 6 August 2026
Forwarded from @kumsscientificCommunitiesPhoto

انجمن علمی دانشجویان پزشکی کرمانشاه برگزار می کند: دوره جامع مدیریت زخم، پانسمان و استومی سرفصل ها پانسمان‌های نوین (انواع، اندیکاسیون و کنتراندیکاسیون‌ها) مدیریت انواع زخم‌ها (پای دیابتی، نوروپاتیک، نوروایسکمیک) فیستول و کولستومی و زخم‌های جراحی حاد و مزمن کاربرد PRP در زخم‌ها مدیریت زخم‌های عفونی و سرطانی وکیوم تراپی زخم مدیریت زخم‌های فشاری و عروقی درمان سوختگی‌ها و ارزیابی‌های تغذیه‌ای 🗓 زمان: ۲۶ الی ۳

👍2

Signed M.M

30 Dec 2025, 04:50 UTC261 viewsread 6 August 2026
Forwarded from @kumsscientificCommunitiesVideo

🔻پیشرفت علمی دانشگاه بدون همراهی اساتید کامل نمی‌شود. 🔹بیش از ۳۰ انجمن علمی فعال آماده‌اند تا با حضور شما به‌عنوان مدرس یا منتور، مسیر رشد دانشجویان را هموارتر کنند. شما چگونه می‌توانید در تقویت انجمن‌های علمی نقش‌آفرین باشید؟ #دانشگاه #علم #دانشجو #انجمن_علمی #پیشرفت_علمی #آموزش_عالی 🔻https://t.me/kumsscientificCommunities

Signed M.M

16 Dec 2025, 19:14 UTC309 views6 reactionsread 6 August 2026
Photo

✔️📸 گزارش تصویری ☢مراسم بزرگداشت رشته‌های پزشکی هسته‌ای و رادیولوژی 💢به همت انجمن نورال (پزشکی هسته‌ای) و شورای صنفی دانشکده پیراپزشکی مراسم بزرگداشت رشته‌های پزشکی هسته‌ای و رادیولوژی با حضور مسئولین، اساتید و دانشجویان دانشکده برگزار شد. ▫️در این نشست، دانشجویان به بیان دغدغه‌ها و مسائل آموزشی خود پرداختند و گفت‌وگویی مستقیم با مسئولین شکل گرفت. 🥇در ادامه، از دانشجویان برتر هر ورودی این دو رشته تقدیر به‌عمل آمد.

4👏2

Signed M.M

15 Dec 2025, 13:00 UTC352 views4 reactionsread 6 August 2026
Photo

📢 بزرگداشت رشته‌های پزشکی هسته‌ای و رادیولوژی به همت انجمن علمی دانشجویی نورال (پزشکی هسته‌ای) و شورای صنفی دانشکده پیراپزشکی به مناسبت گرامیداشت دو رشته ارزشمند پزشکی هسته‌ای و و رادیولوژی و در پاسداشت تلاش‌ها و نقش اثرگذار دانشجویان و فعالان این حوزه‌ها، نشست ویژه‌ای در روز سه‌شنبه، ۲۵ آذر برگزار خواهد شد. این برنامه با هدف ایجاد فضایی صمیمی و علمی برای گفت‌وگو، تبادل تجربه، طرح دغدغه‌های آموزشی و تقویت ارتباط می

4

Signed M.M

Showing the 12 most recent of 18 posts we hold for @NURAL_Forum. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Citation-graph rank

Citation-graph rank — 654,614 of 1,340,412entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 5 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 7 August 2026 — this entry's latest reading, not the date you are reading this.

“NURAL Forum” (@NURAL_Forum), 472 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/NURAL_Forum.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.