Telegram RegisterThe public register of Telegram

Channel

1st International Virtual Congress_Caring today

@Caringtodaycongress

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

193subscribers

+0 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002871468152
TypeChannel
Username@Caringtodaycongress
Description♦️اطلاع رسانی و برگزاری کنگره به میزبانی دانشکده پرستاری و مامایی خرم آباد 🆔️ @committee_nurse_midwife 🎓روابط عمومی: @Pirzad85
CreatedBetween 1 June 2025 and 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held2
On Telegramt.me/Caringtodaycongress

Growth

1937 Aug 2026, 17:31 — 193 subscribers8 Aug 2026, 11:49 — 193 subscribers7 Aug 2026, 17:318 Aug 2026, 11:49
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 192–194 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 11:49193no change
7 Aug 2026, 17:31193first reading

Engagement

20 posts held, back to 30 December 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
37.0%
avg views ÷ 193 subscribers
Avg views / post
71.4
5 posts measured
Reaction rate
2.25%
reactions ÷ views · ER floor
Posts in window
5
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 5 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 8 August 2026
Posts held20 (30 December 20258 August 2026)
Views total357
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 11:49 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.

What this channel posts

Photos
35
Videos
2
Links
33

Lifetime counters from Telegram’s own channel header, read 8 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.

Video runtime
9s
Average length
9s

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

11 reactions across 6 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
11100.0%

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 7 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 11reactions 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 December 2025 to 8 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

8 Aug 2026, 08:05 UTC23 viewsread 8 August 2026
Forwarded from @committee_nurse_midwifePhoto

❓ چرا بعضی مقالات با وجود نتایج جالب، در مجلات معتبر منتشر نمی‌شوند؟ داوران معمولاً چند سؤال مهم را بررسی می‌کنند: 🔹 سؤال پژوهش مهم و مشخص است؟ آیا پژوهش یک مسئله واقعی را بررسی می‌کند و سؤال آن دقیق و قابل پاسخ است؟ 🔹 طراحی مطالعه مناسب است؟ نوع مطالعه باید با سؤال پژوهش هماهنگ باشد؛ انتخاب نادرست Design می‌تواند اعتبار نتایج را کاهش دهد. 🔹 روش اجرا شفاف است؟ جامعه، نمونه‌گیری، معیارهای ورود و خروج و ابزار جمع‌آور

1 Aug 2026, 15:27 UTC66 viewsread 8 August 2026
Forwarded from @Innopulse1Photo

📢 اطلاعیه فراخوان ارسال طرح 🔺به اطلاع دانشجویان، اعضای هیات علمی و سایر علاقه‌مندان می‌رساند، پس از برگزاری موفق بوت‌کمپ، فرآیند دریافت طرح‌ها و ایده‌های فناورانه آغاز شده است. 🔺بر این اساس، متقاضیان می‌توانند تا ۵ شهریور ۱۴۰۵ با مراجعه به وب‌سایت آوردگاه فناوری و نوآوری INNOPULSE، ضمن آشنایی با شیوه‌نامه و شرایط شرکت، طرح‌ها و ایده‌های خود را ثبت و ارسال نمایند. 🔺همچنین، با توجه به شرایط موجود و با هدف فراهم‌ساز

28 Jul 2026, 17:19 UTC90 viewsread 8 August 2026
Forwarded from @pazhoheshino

📚 پژوهشنامه پژوهشینو| از اصطلاح تا کاربرد ⚠️ کابوسِ پژوهشگران: وقتی مقاله «ریترکت» می‌شود! تا به حال واژه Retraction (بازپس‌گیری) را در سایت‌های معتبر علمی دیده اید؟ این واژه، «خط قرمز» دنیای آکادمیک است. یعنی یک مقاله پس از انتشار، به دلیل وجود خطا یا تخلف، از پایگاه داده حذف و نامعتبر اعلام می‌شود. ❌ 📌 چرا مقالات ریترکت می‌شوند؟ برخلاف تصور، ریترکت شدن فقط به معنای «تقلب عمدی» نیست. دلایل اصلی شامل: خطاهای علمی

25 Jul 2026, 20:12 UTC73 views2 reactionsread 8 August 2026
Forwarded from @committee_nurse_midwifePhoto

🧠 هوش مصنوعی در پژوهش | قسمت پنجم 📊 تحلیل داده‌ها و یادگیری آمار با هوش مصنوعی: پس از جمع‌آوری داده‌ها،انتخاب آزمون آماری مناسب و تفسیر صحیح نتایج، یکی از مهم‌ترین مراحل پژوهش است. ابزارهای هوش مصنوعی در اینجا می توانند کمک کننده باشند. 🥇 ChatGPT ✅ تفسیر خروجی SPSS ✅ انتخاب آزمون آماری مناسب ✅ نگارش بخش Results 🥈 Google AI Studio ✅ آموزش مفاهیم آماری ✅ تحلیل جداول و داده‌ها ✅ مقایسه و توضیح آزمون‌های آماری 🥉 Ju

2

22 Jul 2026, 17:57 UTC105 views2 reactionsread 8 August 2026
Forwarded from @committee_nurse_midwifePhoto

📚 مرور متون؛ پلی بین دانش گذشته و پژوهش آینده 🔍 🔰یکی از مهم‌ترین بخش‌های هر پروپوزال، مرور متون است. این بخش فقط جمع‌آوری مقالات نیست؛ بلکه فرصتی برای تحلیل مطالعات گذشته، شناسایی شکاف‌های پژوهشی و اثبات ضرورت انجام پژوهش شماست. 🔱در یک مرور متون استاندارد: ✅ از منابع معتبر و به‌روز استفاده کنید. ✅ مطالعات را تحلیل و مقایسه کنید، نه فقط خلاصه‌نویسی. ✅ ارجاع‌دهی صحیح را فراموش نکنید. ✅ در نهایت، خلأ پژوهشی را به‌صورت

2

13 Jun 2026, 13:02 UTC173 viewsread 8 August 2026
Forwarded from @pazhoheshinoVideo

🔥 More than 90% of people still aren't using the true power of Artificial Intelligence! In this channel, you'll discover the best AI tools and techniques to: ⚡ Conduct research faster ⚡ Create professional-quality content ⚡ Boost your productivity dramatically ⚡ Stay ahead with the latest AI tools before everyone else 🎁 Daily AI tool recommendations 🎓 Practical and easy-to-follow tutorials 📚 Perfect for students,

13 Jun 2026, 08:38 UTC171 viewsread 8 August 2026

دانشجوی عزیز؛ بدین وسیله از شما جهت شركت در پژوهش با عنوان بررسی ارتباط صفات شخصیتی و خودکارآمدی بالینی دانشجویان دانشگاه علوم پزشکی که مورد تصویب دانشگاه علوم پزشکی لرستان میباشد، دعوت به عمل مي‌آيد. شرکت در این پژوهش کاملا داوطلبانه است؛ همچنین كليه اطلاعات مربوط به شما به صورت محرمانه نگه‌داشته و فقط نتايج كلي و گروهي اين پژوهش بدون ذکر نام و مشخصات شما منتشر خواهد شد. تکمیل پرسشنامه به علت تعداد بالای سوالات، مم

12 Jun 2026, 10:52 UTC147 views1 reactionsread 8 August 2026
Forwarded from @pazhoheshino

✅️ دستورالعمل جدید برای استفاده از ابزارهای هوش مصنوعی در نگارش AI assistance (no disclosure required) We recognize that AI- assisted writing has become more common as the technology becomes more accessible. AI tools that make suggestions to improve or enhance your own work, such as tools to improve language, grammar, or structure, are considered assistive AI tools and do not require disclosure by authors or reviewe

1

26 Feb 2026, 14:55 UTC206 views0 reactionsread 8 August 2026
Forwarded from @pazhoheshinoPhoto

✅️ قابلیت جدید سرچ در مقالات ✅️ نگارش فصول پایان نامه ✅️ قابلیت چت با مقاله ✅️https://elicit.com #هوش_مصنوعی #ریسرچ #پروپوزال_بیان_مسلئه 🆔️@AIEducationResearch

25 Feb 2026, 13:46 UTCviews —

1st International Virtual Congress_Caring today pinned «⭕️❌دوستان توجه کنید گواهی های داوری و ارائه مقالات نیز آماده شدن و از طریق راهنمایی سایت کنگره قابل دریافت هستند. https://ctconf.rlums.ir/fa/»

25 Feb 2026, 13:43 UTC223 viewsread 8 August 2026

⭕️❌دوستان توجه کنید گواهی های داوری و ارائه مقالات نیز آماده شدن و از طریق راهنمایی سایت کنگره قابل دریافت هستند. https://ctconf.rlums.ir/fa/

24 Feb 2026, 19:38 UTC216 viewsread 8 August 2026
Forwarded from @pazhoheshinoPhoto

✅️ ضبط جلسات و خلاصه سازی ✅️ تبدیل جلسات به متن ✅️ https://fireflies.ai #هوش_مصنوعی #تولید_محتوا 🆔️@AIEducationResearch

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

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

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 8 August 2026 — this entry's latest reading, not the date you are reading this.

“1st International Virtual Congress_Caring today” (@Caringtodaycongress), 193 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/Caringtodaycongress.

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.