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Channel

Animal Science IUT

@animal_science_iut

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Posts · Citations · Cite this entry

420subscribers

-1 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-1001454782058
TypeChannel
Username@animal_science_iut
CreatedBetween 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held5
Confirmed unchanged2 times, most recently 18 September 2026
On Telegramt.me/animal_science_iut

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 2 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@animal_science_iut/503 · this entry18 Jul 2026, 13:12 UTC@material_t/374519 Jul 2026, 10:38 UTC1.0021 hours
@animal_science_iut/504 · this entry18 Jul 2026, 13:12 UTC@material_t/374619 Jul 2026, 10:38 UTC1.0021 hours
@animal_science_iut/505 · this entry18 Jul 2026, 13:13 UTC@material_t/374719 Jul 2026, 10:38 UTC1.0021 hours
@animal_science_iut/506 · this entry18 Jul 2026, 13:13 UTC@material_t/374819 Jul 2026, 10:38 UTC1.0021 hours
@material_t/375022 Jul 2026, 05:28 UTC@animal_science_iut/509 · this entry22 Jul 2026, 05:43 UTC1.0016 minutes
@material_t/375122 Jul 2026, 05:28 UTC@animal_science_iut/510 · this entry22 Jul 2026, 05:43 UTC1.0016 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@material_t6 (6/6 hand-verifiable sample passed)1.0021 hoursthis entry (42)
@iut_chemical6 (6/6 hand-verifiable sample passed)1.003 daysthis entry (42)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 19 comparable posts for this entry, running 20 June 2026 to 3 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 3, the earliest publisher we hold is @animal_science_iut — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 2 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

4194214206 August 2026 — 421 subscribers7 August 2026 — 421 subscribers14 August 2026 — 420 subscribers21 August 2026 — 419 subscribers11 September 2026 — 420 subscribers6 August 202611 September 2026
5 measurements spanning 35 days, net -1. 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 419–421 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Sept 2026, 02:18420+1
21 Aug 2026, 18:27419-1
14 Aug 2026, 13:24420-1
7 Aug 2026, 02:58421no change
6 Aug 2026, 21:47421first reading

Engagement

20 posts held, back to 20 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 3 August 2026. An engagement rate over an empty window would be a number about nothing.

Recent posts

3 Aug 2026, 03:59 UTC65 viewsread 6 August 2026
Forwarded from @NanoauxinPhoto

🟢 پنجمین مدرسه تابستانه نانوفناوری ایران 📊دوره جامع مدل‌سازی QSPR با روش MLR 📈 از آشنایی با QSPR تا ساخت، اعتبارسنجی وارزیابی مدل‌های آماری 👩‍🏫 مدرس: دکتر مهدیه خادمی هنزائی کارشناس تحقیق و توسعه شرکت آران دانش آزما 🎯 در این دوره خواهید آموخت: 📖 مبانی QSPR ✅ آشنایی با مفاهیم QSPR ✅ معرفی توصیفگرها (Descriptors) ✅ استخراج داده‌ها و پارامترهای آماری از منابع علمی 💻 آموزش نرم‌افزارها ✅ آشنایی با نرم‌افزار HyperCh

Signed razi

1 Aug 2026, 19:03 UTC74 viewsread 6 August 2026
Forwarded from @NanoauxinPhoto

🟢 پنجمین مدرسه تابستانه نانوفناوری ایران 📝 دوره جامع مقاله‌نویسی علمی 🚀 از انتخاب موضوع تا چاپ مقاله در مجلات معتبر 👨‍🏫 مدرس: دکتر مصطفی مهین‌روستا 🔹 استادیار پژوهشگاه مواد و انرژی ⭐️ دوره‌ای جامع و کاربردی در ۶ جلسه آموزشی 🎯 در این دوره خواهید آموخت: 📖 مبانی مقاله‌نویسی 📑 مقالات و مجلات علمی ✍️ ساختار استاندارد مقاله ⚖️ اخلاق پژوهش 📤 ارسال مقاله (Submission) 🖋 نگارش حرفه‌ای 🤖 بخش ویژه 📅 تاریخ برگزاری: ۲

Signed razi

1 Aug 2026, 05:02 UTC79 viewsread 6 August 2026
Forwarded from @NanoauxinPhoto

🟢 پنجمین مدرسه تابستانه نانوفناوری ایران 💧 دوره جامع تصفیه آب و پساب (بخش دوم): روش جذب سطحی و طراحی ستون‌های جذب 👨‍🏫 مدرس: دکتر مصطفی مهین‌روستا 🔹 استادیار پژوهشگاه مواد و انرژی 📚 سرفصل‌های دوره: 📌 بخش اول: مبانی جذب سطحی ✅ مکانیزم‌های جذب ✅ معرفی نانوجاذب‌ها ✅ آشنایی با نمونه‌های تجاری و صنعتی 📌 بخش دوم: اصول و مدل‌سازی فرآیند جذب ✅ مشخصه‌یابی نانوجاذب‌ها ✅ عوامل مؤثر بر میزان جذب ✅ ایزوترم‌های جذب ✅ مدل‌های س

Signed razi

1 Aug 2026, 05:02 UTC67 viewsread 6 August 2026
Forwarded from @NanoauxinPhoto

🟢 پنجمین مدرسه تابستانه نانوفناوری ایران 💧 دوره جامع تصفیه آب و پساب؛ مفاهیم و فناوری‌های نوین 👨‍🏫 مدرس: دکتر مصطفی مهین‌روستا 🔹استادیار پژوهشگاه مواد و انرژی 📚 سرفصل‌های دوره: ✅ آشنایی با انواع آلاینده‌های آب و پساب ✅ معرفی اصطلاحات تخصصی حوزه آب و پساب ✅ آشنایی با مهم‌ترین پارامترهای کنترل کیفی آب ✅ بررسی فرآیندهای متداول تصفیه آب و پساب ✅ معرفی مواد شیمیایی پرکاربرد در صنعت آب و پساب ✅ بررسی مهم‌ترین آلاینده‌ها

Signed razi

1 Aug 2026, 05:02 UTC68 viewsread 6 August 2026
Forwarded from @NanoauxinPhoto

🟢 پنجمین مدرسه تابستانه نانوفناوری ایران 🔬 دوره جامع تخلخل‌سنجی و آموزش تفسیر و گزارش داده‌های BET، BJH و t-plot در مقالات علمی 👨‍🏫 مدرس: دکتر وحید صباغی 🔹پژوهشگر پسادکتری نانوفناوری، دانشگاه صنعتی اصفهان 🔹دکتری تخصصی علوم و فناوری نانو، دانشگاه تهران 🔹مدرس برتر نانوفناوری کشور 📚 سرفصل‌های دوره: ✅ آشنایی با مفاهیم تخلخل، سطح ویژه، حجم و قطر حفرات ✅ معرفی روش‌های اندازه‌گیری تخلخل و انتخاب روش مناسب برای هر نوع نمو

Signed razi

22 Jul 2026, 05:43 UTC149 viewsread 6 August 2026
Forwarded from @NanoauxinPhoto

🟢 پنجمین مدرسه تابستانه نانوفناوری ایران 🔬 دوره جامع آموزش و تحلیل آنالیز کمی پراش پرتو ایکس (XRD) 💻 همراه با آموزش نرم‌افزار MAUD 👨‍🏫 مدرس: دکتر وحید صباغی 🔹پژوهشگر پسادکتری نانوفناوری، دانشگاه صنعتی اصفهان 🔹دکتری تخصصی علوم و فناوری نانو، دانشگاه تهران 🔹مدرس برتر نانوفناوری کشور 📚 سرفصل‌های دوره: ✅ اصول آنالیز کمی و روش ریتولد ✅ آموزش تحلیل داده‌های XRD با نرم‌افزار MAUD ✅ تعیین اندازه کریستالیت، اندازه دانه و ا

Signed razi

22 Jul 2026, 05:43 UTC117 viewsread 6 August 2026
Forwarded from @NanoauxinPhoto

🟢 پنجمین مدرسه تابستانه نانوفناوری ایران 🔬 دوره جامع آموزش و تحلیل کیفی داده‌های XRD آموزش تخصصی نرم‌افزار X'Pert HighScore Plus 👨‍🏫 مدرس: دکتر وحید صباغی 🔹 پژوهشگر پسادکتری نانوفناوری، دانشگاه صنعتی اصفهان 🔹 دکتری تخصصی علوم و فناوری نانو، دانشگاه تهران سرفصل‌های دوره ✅ مبانی پراش پرتو ایکس (XRD) ✅ ساختار بلوری، شبکه‌های کریستالی و پارامترهای شبکه ✅ صفحات کریستالی، اندیس میلر و روش تعیین آن‌ها ✅ مکانیزم پراش و بره

Signed razi

18 Jul 2026, 13:13 UTC200 viewsread 6 August 2026
Photo

🎓 ثبت‌نام پنجمین مدرسه تابستانه نانوفناوری ایران آغاز شد! اگر به دنبال یادگیری مهارت‌های تخصصی، ارتقای رزومه علمی و آشنایی با جدیدترین دستاوردهای حوزه نانوفناوری هستید، این فرصت را از دست ندهید. در پنجمین مدرسه تابستانه نانوفناوری ایران، بیش از ۴۰ دوره تخصصی و وبینارهای علمی با حضور اساتید برجسته دانشگاهی، پژوهشگران و متخصصان صنعت برگزار خواهد شد. ✨ ویژگی‌های مدرسه تابستانه: 🔹 بیش از ۴۰ دوره تخصصی 🔹 تدریس توسط اسا

Signed razi

18 Jul 2026, 13:13 UTC113 viewsread 6 August 2026
Video

⚙️ معرفی کمیته اجرایی پنجمین مدرسه تابستانه نانوفناوری ایران برگزاری یک رویداد علمی موفق، تنها با برنامه‌ریزی دقیق، هماهنگی منسجم و تلاش شبانه‌روزی یک تیم اجرایی متعهد امکان‌پذیر است. در این تیزر، اعضای کمیته اجرایی پنجمین مدرسه تابستانه نانوفناوری ایران را معرفی می‌کنیم؛ تیمی که با مسئولیت‌پذیری، نظم و تلاش مستمر، زمینه برگزاری هرچه بهتر این رویداد ملی را فراهم کرده‌اند. 🌐 وب‌سایت 📺 یوتیوب 📱 تلگرام 📷 اینستاگرا

Signed razi

18 Jul 2026, 13:12 UTC97 viewsread 6 August 2026
Video

🧪 معرفی کمیته علمی پنجمین مدرسه تابستانه نانوفناوری ایران کیفیت علمی هر رویداد، حاصل همراهی اساتید و متخصصانی است که با دانش، تجربه و نگاه تخصصی خود مسیر برگزاری آن را هموار می‌کنند. در این تیزر، اعضای کمیته علمی پنجمین مدرسه تابستانه نانوفناوری ایران را معرفی می‌کنیم؛ اساتید و پژوهشگرانی که با هدایت علمی این رویداد، نقش مهمی در طراحی و اجرای دوره‌های آموزشی ایفا خواهند کرد. 🌐 وب‌سایت 📺 یوتیوب 📱 تلگرام 📷 اینستا

Signed razi

18 Jul 2026, 13:12 UTC131 viewsread 6 August 2026
Video

🎉 مدرسه تابستانه نانوفناوری ایران با همکاری بیش از ۳۰ دانشگاه کشور آغاز شد. با افتخار، پنجمین مدرسه تابستانه نانوفناوری ایران با همراهی انجمن‌های علمی بیش از ۳۰ دانشگاه کشور آغاز به کار کرده است. در این رویداد آموزشی، مجموعه‌ای از دوره‌های تخصصی، کارگاه‌ها و برنامه‌های آموزشی با حضور اساتید و متخصصان حوزه نانوفناوری برگزار خواهد شد. از امروز همراه ما باشید و از طریق راه‌های ارتباطی زیر، از جدیدترین اطلاعیه‌ها، زما

Signed razi

Showing the 12 most recent of 20 posts we hold for @animal_science_iut. 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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 4 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 11 September 2026 — this entry's latest reading, not the date you are reading this.

“Animal Science IUT” (@animal_science_iut), 420 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/animal_science_iut.

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.