3 measurements spanning 7 days, net +4. 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 948–954 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 04:25
953
+4
6 Aug 2026, 13:49
949
no change
5 Aug 2026, 23:53
949
first reading
Engagement
20 posts held, back to 28 December 2025 — 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.
ERR · 30 days
45.8%
avg views ÷ 953 subscribers
Avg views / post
436
3 posts measured
Reaction rate
2.52%
reactions ÷ views · ER floor
Posts in window
3
of 20 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. It is computed over the 2 of 3 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 2 August 2026
Posts held
20 (28 December 2025 – 2 August 2026)
Views total
1,309
Reactions total
18
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Aug 2026, 13:49 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
299 reactions across 18 posts, in 5 distinct kinds. The most used accounts for 74.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👌
224
74.9%
🙏
33
11.0%
🤔
15
5.02%
🤝
14
4.68%
👎
13
4.35%
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 18 of the 20 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 299reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 28 December 2025 to 2 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.
*تمدید مهلت ثبت طرح های استادمحوری ( مرجعیت علمی و صنعت)*
📢همکاران گرامی، نمایندگان محترم دانشگاهها و موسسات پژوهشی؛
فرصت ثبت درخواستهای طرح استادمحوری در سامانه نان تمدید شد.
✅ *آخرین مهلت: ۳۱ مردادماه ۱۴۰۵*
از تمامی همکاران تقاضا میشود جهت ثبت یا تکمیل درخواستهای خود، در بازه زمانی تعیین شده به سامانه مراجعه نمایند.
https://parsa.nan.ac/
صرفهجویی
صرفهجویی به معنای محروم کردن خود از نعمتها نیست، بلکه استفاده آگاهانه، بهاندازه و مسئولانه از منابع است. از دیدگاه علمی، کاهش مصرف بیرویه موجب حفظ منابع طبیعی، کاهش هزینههای اقتصادی، افزایش بهرهوری و حفاظت از محیطزیست میشود. صرفهجویی یک رفتار عقلانی، اخلاقی و دینی است که علاوه بر تأمین منافع فردی، حق نسلهای آینده را نیز حفظ میکند.
راهکارهای عملی صرفهجویی در مصرف آب
1. رفع سریع نشتی شیرها و لو…
سرقت ادبی (Plagiarism) و مصادیق آن
سرقت ادبی (Plagiarism) به معنای استفاده از ایده، متن، داده، تصویر، جدول، نتایج یا آثار دیگران بدون ذکر صحیح منبع و به گونهای است که مخاطب تصور کند آن مطالب متعلق به نویسنده است. سرقت ادبی یکی از مهمترین تخلفات اخلاق در پژوهش محسوب میشود و میتواند به رد مقاله، ریترکت، محرومیت از انتشار و آسیب به اعتبار علمی پژوهشگر منجر شود.
مصادیق رایج سرقت ادبی
1. کپی مستقیم متن (Direct Plag…
ریترکت مقاله (Article Retraction)
ریترکت مقاله به معنای پس گرفتن رسمی یک مقاله علمی از سوی مجله پس از انتشار است. این اتفاق زمانی رخ میدهد که مشخص شود نتایج یا فرآیند انتشار مقاله دارای مشکل اساسی بوده است.
دلایل رایج ریترکت عبارتاند از:
جعل یا دستکاری دادهها (Data Fabrication/Falsification)
سرقت علمی (Plagiarism)
انتشار تکراری یا همپوشانی زیاد با مقالات دیگر
خطاهای جدی در تحلیل یا دادهها که نتایج را نامعت…
📣📣📣آغاز ثبتنام یازدهمین دوره سیستمسازی شرکت و سازمان📣📣📣
امکان بهرهمندی از دوره سیستمسازی برای آن دسته از علاقهمندانی که فرصت یا امکان شرکت حضوری در این دوره را ندارند، فراهم شد.
🔘آنلاین
🔘مدت دوره ۶۰ ساعت
🔘زمان شروع: 27 تیرماه 1405
🔘شنبه، یکشنبه و دوشنبه
🔘ساعت ۱۶-۲۰
🔘ظرفیت محدود‼️
🔘با رویکردی کاملاً عملیاتی و کاربردی
🔘گواهی از دانشگاه فردوسی مشهد
💲تخفیف ویژه برای 8 نفر اول ثبتنامی‼️
علاقهمندان میت…
به نام خدا
حتی در شرایط فعلی، متاسفانه به خاطر مسائل انرژی کار کردن در دانشکده ها بسیار سخت و گاها طاقت فرسا شده است. قبلا ما مشکلی برای کار کردن تا دیروقت را نداشتیم اما اکنون عصرها و روزهای تعطیل اصلا شرایط کار کردن مهیا نیست.
اگر روند را نگاه کنیم حتی پیشرفت علم و تکنولوژی تا این لحظه نتوانسته بر ضعف های ما در حوزه تولید و مصرف انرژی غلبه پیدا کند و ما روز به روز در این زمینه دچار چالش های بیشتری شده ایم.
در ای…
به نام خدا
🏅پذیرش مقاله دکترای Mohammed Mubarkoot دانشجوی دانشگاه ملی سئول را تبریک عرض می نماییم.
این مقاله حاصل کار مشترک دانشگاه های ملی سئول، دانشگاه علوم کاربردی سوئیس، دانشگاه علوم اطلاعات سونگشل کره و دانشگاه صنعتی اصفهان است.
📖 عنوان مقاله:
Workarounds in Software Engineering: The Impact of Technostress and the Moderating Roles of Neutralization, Autonomy, and Behavioral Control
✍️نویسندگان:
Mohammed Mub…
به نام خدا
تمرکز صرف گفتمان آموزشی کنونی بر مدلهای «مجازی»، «ترکیبی» و «کلاس معکوس»، علیرغم اهمیت بنیادین آنها به عنوان پلههای اولیه تحول، نمی تواند مرزهای دانش در فناوری آموزشی را کامل نماید. امروز دیگر صرفاً بحث دیجیتالیکردن فرآیندهای پیشین مطرح نیست، بلکه ضرورت آن است که از مرحله «دیجیتالیسازی» فراتر رفته و وارد عصر «هوشمندسازی یادگیری» (AI-Driven Learning) شویم؛ عصری که در آن، سیستمهای تطبیقیافته مبتنی ب…
👌11👎3🤔2🤝1
Showing the 12 most recent of 20 posts we hold for @Management_IndustrialEngineering. 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 — 887,882 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
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 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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“مدیریت و مهندسی صنایع” (@Management_IndustrialEngineering), 953 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/Management_IndustrialEngineering.
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.