2Distracted
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Awesome creatures you may have never heard of! AMAZING!!!

Unbelievable what's out there that we don't realize is!!! I have to have the poodle moth! Adorable!!!
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@EasternShell i never seen a moth like that either an ant. incredible creature!
oooo thanks @2Distracted. I knew was right to be scared. lol
@EasternShell I was so fascinated with this unique creature! What's funny is when I first found this existed I also had to know more cuz it had peaked my interest so much. Found out that its not even an ant although it looks like one. It's a very powerful wing less type of wasp. Very little is known of this little seen insect. They are only known to exist in coastal regions ofChile. Their sting is exceptionally powerful for their size. They have been seen to bring downย animalsย as large as cows with only a few dozen stings. YIKES!!! I found a lot of cool info from this website. http://www.ourbreathingplanet.com/panda-ant/
@EasternShell welcome. moth have a wings in its body.
Thanks @Pmmikhbal. I was obviously confused. It makes sense now.
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๊ฐ์ข… ์˜ํ™” ์Šคํฌ) ์•Œ๋ฉด ์žฌ๋ฏธ์žˆ๋Š” ์˜ํ™” ๋””ํ…Œ์ผ๋“ค -5-
1. ์ฝ”์ฝ” ์˜ํ™”์—์„œ ๋Œ€๋‹ค์ˆ˜์˜ ์‹œ๊ฐ„์„ ์ขŒ์ธก์ฒ˜๋Ÿผ ๋„๋งˆ์™€ ๋งจ๋ฐœ๋กœ ์ง€๋‚ธ ํ•ตํ„ฐ๋Š” ํ›„๋ฐ˜๋ถ€ ์˜คํ•ด๋ฅผ ํ’€๊ณ  ๋‹ค์‹œ ๋ฆฌ๋ฒ ๋ผ ํŽ˜๋ฐ€๋ฆฌ๋กœ ๋Œ์•„์˜ค๋ฉฐ ์‹ ๋ฐœ๊ณผ ๋ณต์žฅ์ด ๋ณต์›๋จ 2. ์Šˆ๋ ‰3 ๋นจ๊ฐ„๋งํ† ๊ฐ€ ๋นŒ๋Ÿฐ๋“ค๊ณผ ์•…๋‹น๋“คย ํด๋Ÿฝ์— ๋ชจ์—ฌ์žˆ๋Š”๊ฒƒ์„ ๋ณผ์ˆ˜ ์žˆ๋Š”๋ฐ ์™œ ์Ÿค๊ฐ€ ์ €๊ธฐ์žˆ๋‚˜ ์˜๋ฌธ์„ ๊ฐ€์งˆ์ˆ˜ ์žˆ์ง€๋งŒ ์Šˆ๋ ‰ 3ํŽธ์—์„œ ๋นจ๊ฐ„๋งํ† ์˜ ํ• ๋จธ๋‹ˆ๋ฅผ ์žก์•„๋จน์€ ์•…๋‹น๋Š‘๋Œ€๊ฐ€ ์Šˆ๋ ‰ํŽธ์ด๊ธฐ ๋•Œ๋ฌธ์— ์ดํ•ด ๊ฐ€๋Šฅํ•จ ๋‚˜๋ผ๋„ ํ• ๋งค ์ฃฝ์ด๊ณ  ๊ทธ ์˜ท ์ž…๊ณ ์žˆ๋Š” ๋ฏธ์นœ ๊ดด๋ฌผ ์žˆ์œผ๋ฉด ๋ณต์ˆ˜ํ•˜๊ณ  ์‹ถ์„๋“ฏ 3. ๋ฐ๋“œํด 2 ๋ฐ๋“œํด 2 ์‚ญ์ œ์‹  ์ค‘์— ์—‘์Šค๋งจ ํ•˜์šฐ์Šค์— ์—‘์Šค๋งจ๋“ค ์ฝ”๋“œ๋„ค์ž„์ด ์ ํžŒ ๋ฒจํฌ๋กœ๊ฐ€ ์žˆ๋Š”๋ฐ ๊ทธ ์ค‘ ํœ ์ฒด์–ด(Wheels)๊ฐ€ ์žˆ์Œ ์ด๋Š” ์—‘์Šค๋งจ 1ํŽธ์—์„œ ํ”„๋กœํŽ˜์‹œ์•„x์—๊ฒŒ ์šธ๋ฒ„๋ฆฐ์ด ๋‹น์‹ ์€ ํœ ์ฒด์–ด๋ผ ๋ถˆ๋Ÿฌ์•ผ ํ•˜๋ƒ๊ณ  ๋น„๊ผฐ ๊ฑธย ๋‚˜์ค‘์— ๋ฐ๋“œํด 2์—์„œ ํ‘œํ˜„ํ•œ๊ฒƒ 4. ํ‚ฌ ๋นŒ2 ํŽ˜์ด๋ฉ”์ด๋Š” ์—˜๋ฅด ๋“œ๋ผ์ด๋ฒ„์—๊ฒŒ ์ž์‹ ์˜ ์ฃฝ์Œ์— ๋Œ€ํ•œ ๋ณต์ˆ˜๋ฅผ ๊ฐ„์ ‘์ ์œผ๋กœ ํ•จ ํŽ˜์ด๋ฉ”์ด๋Š” ๋ธŒ๋ผ์ด๋“œ(์šฐ๋งˆ ์„œ๋จผ) ์„ ์ฒ˜์Œ ๋งŒ๋‚ฌ์„ ๋•Œ ๋„ˆ์˜ ์˜ค๋ฅธํŒ”์€ ๋‚˜์˜ ๊ฒƒ์ด๋ผ๊ณ  ํ•˜๋Š”๋ฐ ์ดํ›„ ํŽ˜์ด๋ฉ”์ด๊ฐ€ ์ฃฝ๊ณ  ๋ธŒ๋ผ์ด๋“œ๊ฐ€ ์—˜๋ฅด์˜ ๋ˆˆ์„ ๋ฝ‘์„๋•Œ ์˜ค๋ฅธํŒ”์„ ์‚ฌ์šฉํ•จ 5. ํ•ด๋ฆฌํฌํ„ฐ์™€ ๋ถˆ์‚ฌ์กฐ ๊ธฐ์‚ฌ๋‹จ, ์‹ ๋น„ํ•œ ๋™๋ฌผ์‚ฌ์ „: ๊ทธ๋ฆฐ๋ธ์™ˆ๋“œ์˜ ๋ฒ”์ฃ„ ๋ถˆ์‚ฌ์กฐ ๊ธฐ์‚ฌ๋‹จ์—์„œ ํ—ค๋ฆฌ์—๊ฒŒ ์•„๋น  ์œ„์ฆ๋ฆฌ๊ฐ€ ๋งˆ๋ฒ•๋ถ€ ๋ถ€์„œ๊ฐ„ ๋งˆ๋ฒ•๋ฉ”๋ชจ๊ฐ€ ์‚ฌ์šฉ๋˜๊ธฐ ์ „์—๋Š” ๋ถ€์„œ๊ฐ„ ๋ฌธ์„œ ์ด๋™์„ ๋ถ€์—‰์ด๋ฅผ ํ†ตํ•ด์„œ ํ–ˆ๋‹ค๊ณ  ๋งํ•˜๋Š”๋ฐ 11๋…„๋’ค ํ”„๋ฆฌํ€„ ์˜ํ™”์ธ ๊ทธ๋ฆฐ๋ธ์™ˆ๋“œ์˜ ๋ฒ”์ฃ„์—์„œ ์‹ค์ œ๋กœ ๋งˆ๋ฒ•๋ถ€ ๋‚ด๋ถ€์—์„œ ๋ถ€์—‰์ด๋“ค์ด ๋ฌธ์„œ๋ฅผ ๋ฐฐ๋‹ฌํ•˜๋Š” ์žฅ๋ฉด์ด ์žˆ์Œ 6. ๋‹ค์‹œ ๋˜ ์žฅ๊ณ  ๊ทน์ค‘ ์ดˆ๋ฐ˜์— ๋ˆ„๋ ‡๊ณ  ๋”๋Ÿฌ์šด ์ด๋นจ์„ ๊ฐ€์ง€๊ณ  ์žˆ๋˜ ์žฅ๊ณ ๋Š” ๋งˆ์ง€๋ง‰์—๋Š” ๋น„๊ต์  ๊นจ๋—ํ•œย ์ด๋นจ์„ ๋ณด์—ฌ์ฃผ๋Š”๋ฐ ์ด๋Š” ๊ฐ™์ด ๋‹ค๋‹ˆ๋˜ ๋‹ฅํ„ฐย ํ‚น ์ˆ„์ธ ๊ฐ€ ์น˜๊ณผ์˜์‚ฌ๋กœ์จ ์‹ค๋ ฅ์„ ๋ฐœํœ˜ํ•ด ์คฌ์„๊ฒƒ์ด๋ผ๊ณ  ์ถ”์ • ๊ฐ€๋Šฅํ•จ 7. ์ŠคํŒŒ์ด๋”๋งจ 3 ์ฐ๋”ฐํŒŒ์ปค์˜ ์ŠคํŒŒ์ด๋”๋งจ 3์˜ ์‹œ์ž‘์ ์— ํŒŒ์ปค์˜ ์†์„ ๋ณด๋ฉด ๊ฑฐ๋ฏธ์— ๋ฌผ๋ฆฐ์ž๊ตญ์ด ์žˆ์Œ 8. ์•Œ๋ผ๋”˜ ์ž์Šค๋ฏผ์ด ๋„๋‘‘์งˆ์„ ํ•˜๋‹ค ๊ฑธ๋ฆฐ ์ƒํ™ฉ์—์„œ ์•Œ๋ผ ์œจ๋ฒ•์— ๋”ฐ๋ผ ๋„๋‘‘์งˆ์„ ํ•˜๋‹ค ๊ฑธ๋ฆฐ๋†ˆ์€ ์†๋ชจ๊ฐ€์ง€๋ฅผ ์ž๋ฅธ๋‹ค๋Š” ํ˜•๋ฒŒ์„ ํ•˜๋ ค๋Š” ์žฅ๋ฉด์ธ๋ฐ ๋„๋งˆ๋ฅผ ๋ณด๋ฉด ์–ผ๋งˆ๋‚˜ ๋งŽ์€ ์†๋ชจ๊ฐ€์ง€๋“ค์ด ์—ฌ๊ธฐ์„œ ์ž˜๋ ธ๋Š”์ง€ ์•Œ์ˆ˜ ์žˆ์Œ 9.์ฃผํ† ํ”ผ์•„ ๊ตํ†ต๊ตญ์• ์„œ ๋‚˜๋ฌด๋Š˜๋ณด์—๊ฒŒย ์ฆ๋ช…์‚ฌ์ง„์„ ์ฐ์œผ๋ ค๋˜ ๋ผ์ง€๋Š” ์—”๋”ฉ์—์„œ ๋ณด๋ฉด ๊ต๋„๊ด€์ด์˜€์Œ 10. ๋งˆ๋‹ค๊ฐ€์Šค์นด 3 (2012) ์˜ํ™”์—์„œ ๋‰ด์š•์„ ๊ทธ๋ฆฌ์›Œํ•œ ๋™๋ฌผ์นœ๊ตฌ๋“ค์ค‘ ๋งˆํ‹ฐ๋Š” ๊ทธ ํŠน์œ ์˜ ๋ฏธ์นœ ๊ฐ•๋ฐ•๊ด€๋… ๋•๋ถ„์— ๋‰ด์š•์˜ ์Šค์นด์ด๋ผ์ธ์„ ์ „๋ถ€ ๊ธฐ์–ตํ•ด์„œ ์ง„ํ™์œผ๋กœ ๋งŒ๋“ค์—ˆ๋Š”๋ฐ 2006๋…„ ์ง€์–ด์ง„ ์› ์›”๋“œ ํŠธ๋ ˆ์ด๋“œ ์„ผํ„ฐ๋Š” ์ด ์Šค์นด์ด๋ผ์ธ์— ํฌํ•จ๋˜์ง€ ์•Š์Œ ์™œ๋ƒ๋ฉด ์• ๋„ค๋“ค์ด ๋‰ด์š•์„ ๋– ๋‚œ ๋‚ ์งœ๊ฐ€ 2005๋…„์ด๊ธฐ ๋•Œ๋ฌธ์— ๋งˆํ‹ฐ๋Š” ๋ชจ๋ฅด๋Š”๊ฒƒ 11. 007 ์Šค์นด์ดํด, 007 ์ŠคํŒฉํ„ฐ 007 ์ŠคํŽ™ํ„ฐ์— ๋‚˜์˜ค๋Š” M์˜ ๋ณต์žฅ์€ ์Šค์นด์ดํด๊ณผ ๋™์ผํ•จ ์Šค์นด์ดํด ์งํ›„ M์€ ์ž์‹ ์ด ์ฃฝ์„๋•Œ๋ฅผย ๋Œ€๋น„ํ•ดย ๋น„๋””์˜ค ์œ ์–ธ์žฅ์„ ์•ˆ์ „๋ง์— ์˜ฌ๋ ค๋†จ๋‹ค๊ณ  ์ถ”์ • ๊ฐ€๋Šฅ ์ดํ›„ ๋ณธ๋“œ๊ฐ€ ๊ทธ ๋น„๋””์˜ค๋ฅผ ๋ณด๊ณ  ์ž์‹ ์ด ์ฃฝ๊ณ ๋‚œ ๋’ค์—๋„ ์ง€์‹œ๋ฅผ ๋ฐ›์„์ˆ˜ ์žˆ๊ฒŒ ํ•จ 12. ์›”E ์˜คํ”„๋‹ ์‹ ์—์„œ ์“ฐ๋ ˆ๊ธฐ ๋”๋ฏธ ์œ„์—ย ํ•ต๋ฐœ์ „์†Œ์™€ ํ’๋ ฅ ํ„ฐ๋นˆ์ด ์žˆ๋Š”๊ฒƒ์„ ๋ณผ์ˆ˜ ์žˆ๋Š”๋ฐ ์ธ๋ฅ˜๊ฐ€ ์“ฐ๋ ˆ๊ธฐ๋”๋ฏธ์— ํŒŒ๋ฌปํžˆ๋ฉด์„œ ๋’ค๋Šฆ๊ฒŒ ์นœํ™˜๊ฒฝ ์—๋„ˆ์ง€๋ฅผ ์ด์šฉํ•˜๋ ค ํ–ˆ์ง€๋งŒ ๋„ˆ๋ฌด ๋Šฆ์–ด๋ฒ„๋ ธ๋‹ค๋Š”๊ฒƒ์„ ์•”์‹œํ•จ 13. ์—…, ์นด2 ์„œ์–‘ ์žผ๋ฏผ์ด๊ฐ€ ๋ฐœ๊ฒฌํ•œ๊ฑด๋ฐ ์—…์—์„œ ์‚ฌ์šฉํ•œ ์ •๊ธ€๋ถ€๋ถ„ ์ธํŠธ๋กœ๋ฅผ ์นด2์—์„œ ์žฌํ™œ์šฉํ•จ 14. 6 ์–ธ๋”๊ทธ๋ผ์šด๋“œ ๋ผ์ด์–ธ ๋ ˆ์ด๋†€์ฆˆ๊ฐ€ SNS์— ์˜ํ™” ์ดฌ์˜์ค‘์ธ ๋ฐฐ๊ฒฝ์œผ๋กœ ๋…ธ๊ฐ€๋ฆฌ ๊นŒ๋Š” ๋™์˜์ƒ์„ ์˜ฌ๋ ธ๋Š”๋ฐ ์˜ํ™” 14:42์— ๋…ธ๊ฐ€๋ฆฌ ๊ฐ€๋Š” ๋ผ์ด์–ธ ๋ ˆ์ด๋†€์ฆˆ ๋’คํ†ต์ˆ˜ ํ™•์ธ ๊ฐ€๋Šฅํ•จ 15. ๋ผํ‘ผ์ ค ๋งˆ๋…€๊ฐ€ "๋„ ์„ธ์ƒ์—์„œ ๊ฐ€์žฅ ์‚ฌ๋ž‘ํ•œ๋‹จ๋‹ค" ํ•˜๋ฉฐ ๋ผํ‘ผ์ ค์—๊ฒŒ ํ‚ค์Šคํ•˜๋Š”๋ฐ ์ž์„ธํžˆ ๋ณด๋ฉด ์ด๋งˆ๊ฐ€ ์•„๋‹Œ ๋จธ๋ฆฌ์นด๋ฝ์— ํ‚ค์Šค์ค‘์ž„ (์ถœ์ฒ˜) ์ด์ œ ๋งˆ์ง€๋ง‰์ธ๊ฐ€๋ด์˜! ๋•๋ถ„์— ์žฌ๋ฐŒ์—ˆ๋‹น +_+
Problems Faced in Automation in CDM
Standardization of data Data should be standardized before automated sharing. It will lead to a faster collection of trial evidence and better analysis, enhanced transparency, faster start-up times, increasing the predictability of data and processes, and easier reuse of case reports across different studies. Take Clinical Research Training to understand better about on ground Problems faced by the Industry. Interoperability of EHRs for automation Although the use of EHRs has not been optimal, they have yielded great benefits at low costs and less time and presented significant possibilities for research. The collection, organization, exchange, and automation of data depends on the effective use of electronic health records (EHRs). However, EHRs have a history of poor interoperability and insufficient quality control and security of data. The way data is stored in these records often varies across institutions and organizations. Sharing the data becomes a struggle since there is no standard format for EHRs. Learn the best Clinical Research Course. Improvement in AI and automation Artificial intelligence (AI) has great potential to identify eligible patients for clinical trials. However, the reality is quite different from expectations. The major problem has been the development of sophisticated algorithms. Other barriers include the unstructured format of data and how to integrate that data into the clinical workflow of stakeholders. Clinical trial stakeholders can indefinitely benefit from a data exchange network, particularly one established between clinical trial sites and sponsors. The network would collect and analyze data before sharing it with relevant stakeholders, improving overall quality. Sponsors shall be able to share important information with sites, including draft budgets and protocol documents. At the same time, sites shall be able to update sponsors in real-time on impending matters, such as patient registrations. This would ensure an unhindered flow of information through integrated systems. However, sites should remember that not all information can flow freely and should be careful while sharing protocol-specified data with sponsors. EHRs have protected health information (PHI) and non-protocol-specific data, which would put patientsโ€™ confidential data at risk if shared.