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🎖افتخار آفرینی اعضای انجمن پرستاری شبکه نخبگان ایران

💠پذیرش مقالات ارزشمند اعضای محترم انجمن پرستاری شبکه نخبگان ایران با عناوین :

The role of mobile health in improving self-care of diabetic patients: a systematic review

Revolutionising SLE diagnosis: a systematic review on the omics data and artificial intelligence

Effectiveness of self-care education on self-efficiency and quality of life
of hemodialysis patients:A randomized controlled trial

The role of artificial intelligence in reducing the risk of falls in the elderly: A systematic review study

The role of artificial intelligence in infertility screening and treatment:
A systematic review

The impact of utilizing machine learning on bedsore management among patients admitted in critical/intensive care units: a systematic review

در بیست و پنجمین کنگره ملی و یازدهمین کنگره بین المللی سالیانه دانشجویان علوم پزشکی کشور را تبریک عرض می‌نماییم. این موفقیت بزرگ، نشان از تلاش‌های مستمر و دغدغه مندی این عزیزان در حوزه‌های پژوهشی رشته پرستاری می باشد.

✏️علاقه مندان به سلسله مباحث نگارش چکیده مقاله تا ارائه برتر در کنگرهای علمی می توانند از بزرگترین مدرسه جامع صفر تا صد نگارش چکیده مقاله تا ارائه برتر در کنگره استفاده نمایند.

🎓هم چنین درصورتی که مایل به عضویت در انجمن هستید میتوانید در فراخوان عضویت و همکاری ثبت نام کرده و فعالیت خود را آغاز نمایید.

در انجمن علمی پرستاری شبکه نخبگان ایران با ما همراه باشید 🏥
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🎖افتخار آفرینی اعضای انجمن پرستاری شبکه نخبگان ایران

💠پذیرش مقالات ارزشمند اعضای محترم انجمن پرستاری شبکه نخبگان ایران با عناوین :

The role of mobile health in improving self-care of diabetic patients: a systematic review

Revolutionising SLE diagnosis: a systematic review on the omics data and artificial intelligence

Effectiveness of self-care education on self-efficiency and quality of life
of hemodialysis patients:A randomized controlled trial

The role of artificial intelligence in reducing the risk of falls in the elderly: A systematic review study

The role of artificial intelligence in infertility screening and treatment:
A systematic review

The impact of utilizing machine learning on bedsore management among patients admitted in critical/intensive care units: a systematic review

در بیست و پنجمین کنگره ملی و یازدهمین کنگره بین المللی سالیانه دانشجویان علوم پزشکی کشور را تبریک عرض می‌نماییم. این موفقیت بزرگ، نشان از تلاش‌های مستمر و دغدغه مندی این عزیزان در حوزه‌های پژوهشی رشته پرستاری می باشد.

✏️علاقه مندان به سلسله مباحث نگارش چکیده مقاله تا ارائه برتر در کنگرهای علمی می توانند از بزرگترین مدرسه جامع صفر تا صد نگارش چکیده مقاله تا ارائه برتر در کنگره استفاده نمایند.

🎓هم چنین درصورتی که مایل به عضویت در انجمن هستید میتوانید در فراخوان عضویت و همکاری ثبت نام کرده و فعالیت خود را آغاز نمایید.

در انجمن علمی پرستاری شبکه نخبگان ایران با ما همراه باشید 🏥
| @Nursing_Association |

BY انجمن علمی پرستاری









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Telegram | DID YOU KNOW?

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Telegram has gained a reputation as the “secure” communications app in the post-Soviet states, but whenever you make choices about your digital security, it’s important to start by asking yourself, “What exactly am I securing? And who am I securing it from?” These questions should inform your decisions about whether you are using the right tool or platform for your digital security needs. Telegram is certainly not the most secure messaging app on the market right now. Its security model requires users to place a great deal of trust in Telegram’s ability to protect user data. For some users, this may be good enough for now. For others, it may be wiser to move to a different platform for certain kinds of high-risk communications. Following this, Sebi, in an order passed in January 2022, established that the administrators of a Telegram channel having a large subscriber base enticed the subscribers to act upon recommendations that were circulated by those administrators on the channel, leading to significant price and volume impact in various scrips. Asked about its stance on disinformation, Telegram spokesperson Remi Vaughn told AFP: "As noted by our CEO, the sheer volume of information being shared on channels makes it extremely difficult to verify, so it's important that users double-check what they read." This ability to mix the public and the private, as well as the ability to use bots to engage with users has proved to be problematic. In early 2021, a database selling phone numbers pulled from Facebook was selling numbers for $20 per lookup. Similarly, security researchers found a network of deepfake bots on the platform that were generating images of people submitted by users to create non-consensual imagery, some of which involved children. For example, WhatsApp restricted the number of times a user could forward something, and developed automated systems that detect and flag objectionable content.
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