Other / unclassifiable — 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 26% 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 1 other registered channel. 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 (1 of the pairs behind the counts below)
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 1 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 15 comparable posts for this entry, running 12 January 2022 to 9 October 2023. 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 2, the earliest publisher we hold is @dajscientific — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_mutual, 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 1 other registered channel, 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.
2 measurements spanning 1 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 544–546 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
6 Aug 2026, 18:18
545
no change
5 Aug 2026, 17:36
545
first reading
Engagement
20 posts held, back to 29 December 2021 — the 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.
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 5 November 2024. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Photos
326
Videos
35
Links
123
Lifetime counters from Telegram’s own channel header, read 6 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
با افتخار و سپاس از همراهی شما
کارگاه ردیابی چشم امسال را به درخواست های متعدد در خدمت دانشجویان و علاقه مندان خواهیم بود
⭕روز های جمعه 28و21 مهر
ساعت 12 الی 19
بخش عملی در روز پنج شنبه 4 آبان بصورت گروه بندی در 2 ساعت برای هر گروه برگزار میگردد.
در این کارگاه جامع شما از مقدمات و بنیانهای نظری تا نمونه پروژه ها در زمینه تصمیم گیری ، شناختی ، زبانشناسی ، مارکتینگ ، تحقیقات بازار، روانشناسی ...
و در ادامه طراحی ت…
💠برنامه زمانبندی روز اول ارائه شفاهی مقالات پذیرفتهشده در هفتمین کنگره نقشهبرداری مغز ایران💠
🔹روز اول: پنجشنبه ۲۲ تیرماه ۱۴۰۲🔹
جهت ثبت نام و کسب اطلاعات بیشتر کلیک کنید.
#ICBM2023
🔔 با احترام خدمت دانشمندان ، پژوهشگران و درمانگران عزیز
📣 با توجه به اتمام مراحل ثبت مالکیت نرم افزار ریهاکام در سیستم قضایی کشور
هر گونه استفاده از این نرم افزار و مدیای مربوطه با کسب محوز از گروه علمی داج نماینده رسمی ریهاکام مقدور خواهد بود.
ریهاکام نماینده دیگری در ایران ندارد و اگر شخصی یا شرکتی ادعای فروش آنرا دارد حتما از اونها مدرک و مجوز فروش مطالبه کنید.
فروش و خرید نسخه غیر اوریجینال یا کرک این نرم افزار …
💠دوره جامع آشنایی نظری و عملی با ثبت، تحلیل و پردازش ردیابی چشم💠
🕑مدت دوره:
۲۵ ساعت (آنلاین و حضوری)
🗓زمان: دی ماه ۱۴۰۱
دستاوردهای دوره:
🎁امکان ثبت نام گروهی با تخفیف ويژه
🎁امکان انجام پروژه در بخش ردیاب چشمی آزمایشگاه تا سقف ۱۰ ساعت به صورت رایگان
🎁امکان دریافت تخفیف تا سقف ۲ میلیون تومان جهت انجام پروژه در بخش VR
🎁امکان دسترسی آنلاین به ویدیوهای آموزشی دوره به مدت حداقل یک ماه و نیم
‼️ظرفیت محدود‼️
جهت ثب…
Cognitive screening & Rehab - Memory and Attention, using Rehacom
تاریخ و ساعت رویداد :
روز پنج شنبه 27 مرداد مباحث نظری و روشهای بازتوانی از ساعت 9 تا 15 -- توسط خانم دکتر خرمی و اقای دکتر ابهریان
و روز جمعه 28 مرداد کارگاه مهارتی Rehacom از ساعت 9 تا 13 -- توسط پوریا اکبری و اصغر رنجبر
جمعا 10 ساعت
ظرفیت حداکثر 30 نفر
لینک ثبت نام
https://daj-scientific.net/cls/cognitive-therapy/
عزیزانی که ریهاکام دار…
Besa, Source localization webinar - HEADLINES
9:30 -11:00am Dr. Anahita Khorrami , Foundations and applications of source localization In basic and clinical science of brain
11:30 -13:00 Dr. Harald Bornfleth
1. Introduction to source localization
2. ERPs and paradigms
3. Besa solutions for source localization and source imaging
4. Individual MRI co-registration
5. A sample epilepsy …
Epilepsy, spike , Erp
Source localization webinar
For the first time
آزمایشگاه ملی نقشه برداری مغز با همکاری گروه علمی داج
برگزار میکند
اولین وبینار مکان یابی منبع سیگنال در مغز
اهمیت؛ کاربرد ها و روشهای علمی و فنی آن
کاربرد بالینی در صرع و تشخیص پیش از جراحی براساس متد Besa
لینک ثبت نام
https://nbml.ir/fa/events/Source-localization-webinar
سلام روز بخیر دانشجویان علاقه مند شرکت در کارگاه فوق برای گرفتن کد تخفیف 20% تا عصر امروز پیام دهند - کارت دانشجویی الزامی است -با احترام گروه علمی داج
Showing the 12 most recent of 20 posts we hold for @dajscientific. 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 — 830,285 of 1,160,990entries 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 1 registered channel — 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.
Named by
Channels on the register whose posts name this channel's handle.
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 6 August 2026 — this
entry's latest reading, not the date you are reading this.
“Daj scientific” (@dajscientific), 545 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/dajscientific.
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.
