Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 27 September 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.
Growth
6 measurements spanning 36 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 94–102 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Sept 2026, 01:39
101
+4
4 Sept 2026, 09:19
97
+2
28 Aug 2026, 20:03
95
-1
22 Aug 2026, 08:15
96
-1
9 Aug 2026, 11:47
97
no change
8 Aug 2026, 11:49
97
first reading
Engagement
20 posts held, back to 30 April 2023 — 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 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 18 February 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
13s
Average length
13s
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
10 reactions across 6 posts, in 3 distinct kinds. The most used accounts for 80.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
8
80.0%
👌
1
10.0%
💯
1
10.0%
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 6 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 10 reactions 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 30 April 2023 to 18 February 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.
ترم آخری !!!دیدن این پست واجبه 🤩
انتخاب عنوان
💫Notebooklm
دسترسی رایگان به تمامی مدل های هوش مصنوعی مقاله نویسی و تمامی فصول پایان نامه
💫Imarena. ai
سوال از مقاله و جزوات وخلاصه نویسی
💫Anara.com
پیشینه فارسی
💫Ask.orkg.org
چت با چندین مقاله ودانلود مقالات
💫Threesigma.ai
💫Scinit
پیشنهاد گر مجلات برای چاپ مقاله
برای اونا که سخت ترین کار دنیا براشون نوشتن پروپوزال و مقاله هست، این فلوچارت خیلی بهتون کمک میکنه. موقع شروع نوشتن، ذهنتون رو از همهمه ی مطالب مختلف بکشید بیرون و به ترتیب تمرکزتون رو فقط روی نوشتن هرکدوم ازین مستطیلا بذارید. یکم بعد میبینین یه متن منسجم خلق کردین 👌
اگر به خوندن کتابهای خارجی و تخصصی و عمومی علاقه دارید، سایت ca1lib.org همهی کتابایی که دنبالشی رو رایگان به صورت PDF با قابلیت دانلود به هر زبانی حتی فارسی داره. هر آی پی ۵ کتاب تو ۲۴ ساعت میتونه رایگان دانلود کنه، برای دانلود بیشتر، بعد هر ۵ دانلود گوشی رو ۱۰ ثانیه حالت پرواز بذارید.
لینک کانال:
@ravesh_tahghigh_iran
برای سابمیت مقالات در مجلات خارجی و حتی بعضی مجلات داخلی باید کد ORCID را داشته باشید
توی این مطلب یاد میگیرید چطوری رایگان ثبت نام کنید و کد رو بگیرید
منبع:
@ravesh_tahghigh_iran
دسته اول فرضیات تفاوتی
یک متغیر، با یک استاندارد مقایسه میشود.
👇👇👇👇👇👇👇
مثال دسته اول:
دمای هوا با میزان استاندارش تفاوت دارد.
در این مثال که مربوط به دسته اول فرضیات تفاوتی است یک متغیر دمای هوا و یک اسناندارد بررسی می گردد.
در نتیجه می توانیم به اینگونه بنویسیم:
H0: آیا با این استاندارد مساوی نیست؟
H1: آیا با این استاندارد مساوی است؟
👇👇👇👇👇👇👇
مثال۲:
تعهد سازمانی کارکنان وزارت ورزش مطلوب …
ممکن است فرضیات از نوع تفاوتی به صورت مستتر باشد.
مثال: احداث استخر دانشگاه بر رضایت دانشجویان تاثیر دارد.
در فرضیه بالا به نظر می رسد این یک فرضیه علی است اما در واقع رضایت دانشجویان یک متغیر scale است اما احداث استخر به دو صورت قبل از احداث و پس از احداث بررسی میشود و یک متغیر کیفی یا اسمی است.
رضایت دانشجویان قبل از احداث و رضایت همان دانشجویان پس از احداث استخر مقایسه میگردد. پس نوع فرضیه تفاوتی است.
مثال: تبل…
9 سایت دانشجویی که باید حتماً داشته باشید
1. Prezi برات اسلاید میسازه
2. Google Scholar مقالههای علمی داره
3. Slide Share پاور پوینت داره
4. Linkedin شبکه اجتماعی تجاری
5. ResearchGate تبادل اطلاعات علمی
6. IranPaper دانلود رایگان کتاب و مقالات
7. Magiran بانک اطلاعاتی نشریات کشور
8. Civilica پایگاه کنفرانسهای علمی کشور
9. IranDoc پایاننامه علمی داره
#سایت
مراحل نگارش پروپوزال(قسمت هشتم)
برنامه زمانبندی (Timetable)
در این قسمت برنامه زمانبندی مراحل تحقیق را ارایه میدهید. بدیهی است که این زمانبندی لزوما با آنچه اتفاق میافتد یکسان نیست ولی به هرصورت برای شما و استاد راهنما معیاری برای ارزیابی پیشرفت تحقیقات ارایه میدهد.
از سوی دیگر ارایه یک برنامه زمانبندی شده به استاد راهنما نشان میدهد که شما به مراحل تحقیق خود فکر کرده اید و ارزیابی دقیقی از موضوع تحقیق دارید.
#پروپ…
مراحل نگارش پروپوزال(قسمت هفتم)
روش تحقیق (Research Methodology)
در این قسمت شما روشهای انجام تحقیقات خود را تبیین میکنید یعنی برای دستیابی به اهداف تعیین شده روش علمی مورد استفاده خود را مطرح میکنید. توجه داشته باشید که در این بخش باید توضیح دهید که به چه دلایلی روش خاصی را انتخاب کرده اید و نشان دهید که چرا این روش برای انجام تحقیقات مناسب ترین است.
به عنوان مثال درصورتیکه نیاز به تحقیق میدانی داشته باشید در این ق…
Signed Alireza Edrisi
Showing the 12 most recent of 20 posts we hold for @ravesh_tahghigh_iran. 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.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@ravesh_tahghigh_iran named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@science_nexus_bot named in 1 post, 10 August 2026 – 10 August 2026
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 September 2026 — this
entry's latest reading, not the date you are reading this.
“روش تحقیق پایانامه و پروپوزال” (@ravesh_tahghigh_iran), 101 subscribers as measured 13 September 2026. Telegram Register, tgregister.com/channel/ravesh_tahghigh_iran.
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.