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#RL.4.3
takmiblog · 16 days
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全段差動アンプのおおよその出力の求め方
プレート電流が41.5mA、出力トランスの1次インピーダンスが5kΩとして考えます。最大出力時、プレート電流は0mA~83mAの範囲でめいっぱい変動しますので、5kΩの両端に生じる電圧は0V~415Vになります。しかしこの電圧はピーク~ピーク価なので、2√2で割って実効値に変換すると、146.7Vrmsになります。電圧と抵抗値から電力を求める式、
 P=E*E/R
をあてはめると、
 P=146.7(V)×146.7(V)÷5000(Ω)=4.3(W)
となります。これを簡単にしたのが、***殿が使われた
 P=Ip(mA)×Ip(mA)×RL(kΩ)÷2000
という式なんです。 但し、この式が成り立つのは、Ep-Ip特性上で無駄なくロードラインを引いた場合に限ります。
(http://www.op316.com/tubes/myamp/log402.htm)
by Tetsu Kimura
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xurujarume · 2 years
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lomonibeces · 2 years
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sugohedekep · 2 years
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Installing Wyse Device Agent manually on a Windows Embedded device. Configure Edge browser settings for Windows 10 IoT Enterprise.
I have a 94 s10 4.3 f.i ihave no power to the fuel pump i change the pump and relay and checked wiring for breaks I - Chevrolet 1994 S-10 question.
3 Thread the serial cable(s) through the cable guide at the back 2-10. Chapter 2. Table 2-2 Setup Parameters, Continued transmission speed [6].
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teachcmb56 · 6 years
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One of the first literary elements that students understand as they begin to read is character.  They learn that a character is a person, animal, being, or thing moving the story along a plot line. Many of the characters in books they can read independently have recognizable traits:
The Pigeon in Don’t Let the Pigeon Drive the Bus is always stubborn and demanding;
Horrible Harry of the Horrible Harry Series is always rebellious.
Jack Smith of The Magic Treehouse Series is always smart and courageous.
Judy Moody of the Judy Moody Series is always determined and…well, moody.
The characters in series books at these elementary grade levels (K-3) are predictable. Students are able to practice reading because they are familiar with characters such as Ramona, Dog Man, Nate the Great, Captain Underpants, Amelia Bedelia, and Frog and Toad.
These characters’ thoughts and feelings may shift when they react to different problems or conflicts. But these characters do not change. They are static; they are not complex characters.
The dominance of static characters in the elementary grades can be an issue when students are faced with an assessment question:
“How did [the character] change? What caused this change?”
This particular question comes from the Teacher’s College Grade 3 Reading Units of Study, but other literacy programs also ask about character change.
It is important to understand that the word “change” is synonymous with a radical, transformative process. The etymology of the word change (c.1300) is “to undergo alteration, become different.” The Collins dictionary defines change as:
1. to put or take (a thing) in place of something else; substitute for, replace with, or transfer to another of a similar kind
2.  to give and receive reciprocally; exchange; switch
3. a. to cause to become different; alter; transform; convert 
    b. to undergo a variation of
The kind of change in character that matches this transformative meaning is difficult to find at the lower reading levels. A well-crafted character who “converts” or “alters” in a low-level text is unusual for any combination of reasons including choices in brevity, vocabulary, and text structure.
For most students who are reading at or below a Grade 3 reading level, there are few complex texts that they can independently read to determine a character change. Instead, the characters in the book series that are favored by students such as  Geronimo Stilton, The Boxcar Children, or Ivy and Bean, are intentionally crafted by authors so the characters remain the same while the plot or the settings change.
There are exceptions, of course. The Grinch in Dr. Seuss’s classic story (not film) The Grinch that Stole Christmas undergoes a transformational character change, but at the Lexile 731/level P,  the book is most often used in the classroom as a read-aloud. There are few mentor texts like the Grinch that can give students the opportunity to practice for an assessment on character change.
The limited number of stories with complex characters at the lower grade levels means that students do not have enough independent practice on their own with this concept. The leap from the predictable characters in a series (Babymouse, Henry& Mudge, Little House on the Prairie) to the kind of complex character change that is found in Maddie in Eleanor Estes The Hundred Dresses or in Jonas in Lois Lowrey’s The Giver can be a high bar for many elementary or even intermediate readers.
So, why ask students at the lower elementary levels about character change at all? The phrase “character change” does not appear in the ELA Common Core State Standards (CCSS) until Grade 6 when students should:
“…describe how a particular story’s or drama’s plot unfolds in a series of episodes as well as how the characters respond or change as the plot moves toward a resolution. (RL.6.3)”
Instead, the CCSS states students in grades 3-5 should be able to:
describe characters (traits, motivations, or feelings) and “explain how their actions contribute to the sequence of events” (RL.3.3 )
describe character, setting, or event in a story or drama, drawing on specific details in the text ( a character’s thoughts, words, or actions (RL.4.3)
compare and contrast two or more characters, settings, or events in a story or drama, drawing on specific details in the text (RL.5.3)
Maybe the intent of asking students at the lower elementary levels about character change is to prepare students for the complex texts they will read in the upper grades. If this is the case, there should be some consideration of what resources could be used to support this kind of character study, especially as most books in elementary reading libraries feature characters that are purposefully crafted to be static. The characters are designed to be familiar to allow students to practice fluency and accuracy. Asking students to find evidence to show a character change when there is no change is an inauthentic exercise.
There is also a danger in assessing a student’s understanding of character change too soon in their literary lives. Teachers also should be careful not to elevate what is a shift in a character’s attitude to be equal to a  change in character. Guiding elementary students to answer “character change” by using evidence that shows how a character may think or feel differently can muddy a later understanding of what character change really means.
Students should not have to answer assessment questions that ask for evidence of character change where there is none. Instead, at the lower grade levels, students should be ready to answer assessment questions that draw attention to the differences in a character’s attitude, thoughts or feelings:
“How did the character react to the problem?”
“What caused the character’s reaction?”
“What are the character’s thoughts and feelings now?”
“Does this character have a different attitude?”
Most of the books in elementary school libraries can support these kinds of questions, which are closely aligned to the ELA CCSS for grades K-5. Finding the evidence that shows a difference in a character’s attitude, thoughts, or feelings is a task that elementary students can do in both mentor texts and in their leveled reading.
Identifying a character’s shift in attitude can also help students better understand the theme or message of the book, for example:
“Yes, this is where I want to be! The Circus is the place for me.” –Put Me in the Zoo. 
“Pete, you don’t need magic sunglasses to see things in a new way! Just remember to see the good in everyday!” Pete the Cat and the Magic Sunglasses
“And for all I know he is sitting there still, under his favorite cork tree, smelling the flowers just quietly. He is very happy.”-The Story of Ferdinand
Of course, there are those iconic characters who have been designed to be so static that a question about a difference in attitude, thoughts or feelings is pointless. Just ask Max of Where the Wild Things Are.  He is still in his wolf suit when he returns home “where he found his supper waiting for him and it was still hot.”
Is a Question about Character Change in Elementary Texts Worth Asking? Part 1 One of the first literary elements that students understand as they begin to read is character.
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nagataka-lifelog · 2 years
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2021-11-13
RL: 4.3 Policy Iteration と 4.4 Value Iteration を読んだ
PRML: 1.5.1 Minimizing the misclassification を読んだ
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mcatmemoranda · 6 years
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Standard Limb Leads: I, II, and III
The extremity leads are recorded first. In connecting a patient to a standard 12-lead electrocardiograph, electrodes are placed on the arms and legs. The right leg electrode functions solely as an electrical ground. As shown in Fig. 4.3 , the arm electrodes are usually attached just above the wrist and the leg electrodes are attached above the ankles.
Electrodes (usually disposable paste-on types) are attached to the body surface to take an ECG. The right leg ( RL ) electrode functions solely as a ground to prevent alternating-current interference. LA , left arm; LL , left leg; RA , right arm.
As mentioned, the limb leads consist of standard bipolar (I, II, and III) and augmented (aVR, aVL, and aVF) leads. The bipolar leads were so named historically because they record the differences in electrical voltage between two extremities.
LEAD = DIFFERENCE BETWEEN TWO ELECTRODES. So even though there are only 10 electrodes, they still record the difference in voltage for 12 spaces. The difference is voltage between two electrodes is a lead. Using 10 electrodes we can get 12 leads.
Lead I, for example, records the difference in voltage between the left arm (LA) and right arm (RA) electrodes:
Lead I=LA−RA
Lead II records the difference between the left leg (LL) and right arm (RA) electrodes:
Lead II=LL−RA
Lead III records the difference between the left leg (LL) and left arm (LA) electrodes:
Lead III=LL−LA
Augmented Limb Leads: aVR, aVL, and aVF
Dr. Emanuel Goldberger invented the three augmented unipolar extremity leads: aVR, aVL, and aVF. The abbreviation a refers to augmented ; V to voltage ; and R , L , and F to right arm , left arm , and left foot (leg), respectively. Today 12 leads are routinely employed and consist of the six limb leads (I, II, III, aVR, aVL, and aVF) and the six precordial leads (V 1 to V 6 ).
Source: Goldberger’s Clinical Electrocardiography, Ninth Edition, Chapter 4
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bloghealthcom · 3 years
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Xứ trí tăng kali máu Update 07/2021
Bài viết Xứ trí tăng kali máu Update 07/2021 được chia sẻ bởi website Blog-Health #bloghealth #suckhoe #lamdep #sinhly
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Hiện nay tăng kali máu là một bệnh lý hay gặp và có tỷ lệ tử vong cao khi không được điều trị kịp thời. Việc hiểu rõ về bệnh sẽ giúp bệnh nhân có sự chuẩn bị tốt về mặt sức khỏe cũng như hạn chế tối đa những rủi ro không đáng có.
1. Tìm hiểu về kali máu
Kali có chủ yếu trong tế bào, sau đó được bài tiết vào nước tiểu. Vì một lý do nào đó, hoặc do một bệnh lý cụ thể, dẫn đến tình trạng kali tăng lên trong máu, hoặc kali không được thải ra một cách bình thường qua đường nước tiểu, kali máu sẽ tăng lên.
Tăng kali máu là một rối loạn điện giải thường gặp trong khoa Cấp cứu và Hồi sức tích cực. Có thể gây tử vong nếu không được xử trí kịp thời. Ngừng tim đôi khi là dấu hiệu đầu tiên của tăng kali máu, vì vậy các bác sĩ cần phải chú ý và hiểu được sự cần thiết phải điều trị khẩn cấp. Một số chỉ số kali máu cần biết gồm:
Kali máu bình thường: 3,5 - 5 mmol/L.
Tăng Kali máu khi ≥ 5,5 mmol/L (Theo European Resuscitation Council Guideline).
Tăng kali máu nhẹ: 5.5-5.9 mmol/L.
Tăng kali máu trung bình: 6.0-6.4 mmol/L.
Tăng kali máu nặng: ≥6.5 mmol/L.
Mức độ nặng của tăng kali máu: còn dựa trên các RL điện tim.
2. Những nguyên nhân gây nên tình trạng tăng kali máu
Nguyên nhân gây tăng kali máu có liên quan đến một số bệnh lý và việc sử dụng một số loại thuốc, bao gồm:
Bệnh thận
Suy thượng thận (mineralocorticoid )
Vận chuyển từ trong tế bào ra ngoài: Nhiễm toan (nhiễm toan ceton, toan lactic...)
Tăng sản xuất kali (thường kèm theo suy thận): chấn thương nặng, tiêu cơ vân, tan máu, hội chứng ly giải khối u, bỏng.
Đưa từ ngoài vào: dùng thuốc có kali, truyền máu lượng lớn.
Do thuốc ví dụ: NSAID, Trimethoprim, Heparin, Chemotherapy, K -sparing diuretic, ACE inhibitor, Beta-blockers, Succinylcholine, Digoxin, Mannitol.
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Người mắc bệnh thận có thể là nguyên nhân gây tăng kali máu
3. Biểu hiện trên điện tim
Thay đổi điện tim có thể xuất hiện sớm khi kali máu > 5,5 mmol.l. Tuy nhiên không có sự tương quan chặt chẽ giữa mức độ tăng kali máu với sự thay đổi về điện tim và còn tùy thuộc vào từng bệnh nhân. Khi kali máu tăng chậm thì ít thay đổi điện tim hơn so với tăng kali cấp tính và có phối hợp với tình trạng hạ Natri, hạ Calci và toan hóa máu.
Sóng T cao nhọn (ở giai đoạn sớm).
PR kéo dài, P dẹt, QRS giãn rộng (nguy cơ loạn nhịp).
Mất sóng P, sóng dạng hình sin (QRS và T lẫn vào nhau).
Loạn nhịp thất, vô tâm thu.
Mức độ nặng của điện tim thường tăng cùng với nồng độ kali máu.
Nhưng cần chú ý mỗi mức kali máu ở mỗi bệnh nhân không nhất thiết có cùng mức độ RL điện tim.
4. Điều trị tăng kali máu
4.1. Bảo vệ tim thuốc ổn định màng tế bào:
Calci chlorua hoặc calci gluconate.
Chỉ định khi tăng kali máu có kèm theo biểu hiện điện tim.
Không có tác dụng hạ kali máu.
Liều dùng: 10 mmol Ca++ (1 g CaCl), tiêm TM chậm trong 5 - 10 phút
Tác dụng sau 3 - 5 phút, kéo dài 30 - 60 phút.
Có thể tiêm nhắc lại sau 5 phút nếu chưa có hiệu quả .
Thận trọng ở bệnh nhân đang dùng digoxin: tiêm tĩnh mạch thật chậm (30 phút)
Chống chỉ định: ngộ độc digoxin.
4.2. Vận chuyển kali vào trong tế bào
Insulin pha glucose truyền tĩnh mạch
Chỉ định khi tăng kali máu nặng (K+ ≥ 6,5 mmol/L).
Cũng có thể chỉ định khi tăng kali máu mức độ trung bình (K + = 6,0 - 6,4 mmol/L).
Pha 10 đơn vị insulin trong dung dịch glucose (25 g glucose: 125 mL đường 20%) truyền TM trong 15 - 30 phút.
Tác dụng sau 15 phút, đạt đỉnh sau 60 phút, kéo dài trong 2 - 3 giờ.
Chú ý nguy cơ hạ đường máu → TD đường máu.
Khí dung salbutamol
Chỉ định khi tăng kali máu nặng (K+ ≥ 6,5 mmol/L.
Cũng có thể chỉ định khi tăng kali máu mức độ trung bình (K+ = 6,0 - 6,4 mmol/L).
Khí dung 10 - 20 mg salbutamol
Bắt đầu tác dụng sau 30 phút, kéo dài 2 - 3 giờ.
Không dùng salbutamol đơn trị liệu trong điều trị tăng kali máu nặng
Thận trọng bệnh nhân có bệnh tim (do thuốc gây tăng nhịp tim).
Dung dịch kiềm
Chỉ dùng khi nhiễm toan chuyển hóa nặng gây tăng kali máu.
Tăng kali máu nặng: natribicarbonat 8,4% (1 mmol/mL) 1 - 3 ml TM trong 5 phút
Tăng kali máu trung bình: Natribicarbonat 8,4% (1 mmol/mL) 1 ml truyền tĩnh mạch trong 30 phút .
Bắt đầu tác dụng: 30 - 60 phút, kéo dài 2 - 3 giờ.
4.3. Thải kali khỏi cơ thể
Thuốc lợi tiểu quai dùng furosemid sớm, duy trì lượng nước tiểu theo bilan dịch vào – ra.
Nhựa trao đổi ion chỉ định trong điều trị tăng kali máu mức độ trung bình và nhẹ.
Kayexalat 15g x 4 lần/ngày, uống hoặc thụt trực tràng 30g x 2 lần/ngày.
Bắt đầu tác dụng sau 1 giờ (thụt), đến 6 giờ (uống), tác dụng rõ trong vòng 1 – 5 ngày. Có thể có các tác dụng không mong muốn trên hệ tiêu hóa, hoặc tăng Na máu.
Lọc máu ngoài thận biện pháp hiệu quả nhất, nhanh nhất, để loại bỏ kali và điều chỉnh các rối loạn khác.
4.4. Theo dõi điều trị
Khuyến cáo của UK Renal Association 2014
Theo dõi liên tục điện tim trên monitor, làm điện tim 12 chuyển đạo định kỳ.
Xét nghiệm kali máu: ở giờ thứ 1-2- 4 - 6, từ khi bắt đầu điều trị.
Mục tiêu: hạ kali < 6 mmol/L sau 2 giờ.
Xét nghiệm đường máu mao mạch: trước khi cho insulin, phút thứ 15-30, sau đó xét nghiệm mỗi giờ, trong 6 giờ.
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Người bệnh tăng kali máu cần được theo dõi liên tục điện tim
4.5. Điều trị nguyên nhân
Điều trị nguyên nhân gây tăng kali máu.
Ngừng các thuốc và thức ăn có chứa kali, hoặc thuốc gây tăng kali máu.
4.6. Một số lưu ý trong điều trị tăng kali máu
Thận trọng khi dùng calci ở bệnh nhân đang dùng digoxin. Dùng Salbutamol hạ được kali máu, nhưng gây nhịp tim nhanh. Bệnh nhân hôn mê do đái tháo đường nếu có tăng kali máu:
Điều trị insulin và truyền dịch, kali máu sẽ giảm khi điều trị. Khi tính toán điều trị hạ kali cần biết rõ điều này.
Chỉ cho bicarbonat khi nhiễm toan rất nặng (pH < 7,0)
Theo dõi cẩn thận kali máu, trong diễn biến một số bệnh, có thể bù kali theo hướng dẫn điều trị để tránh nguy cơ hạ kali.
Tăng kali máu rất nguy hiểm nếu người bệnh chủ quan không đi khám bác sĩ và nghiêm túc điều trị theo phác đồ được chỉ định. Do đó khi có dấu hiệu của bệnh, bạn nên đến bệnh viện khám càng sớm càng tốt để có biện pháp xử trí kịp thời.
Với nhiều năm kinh nghiệm trong việc thăm khám và điều trị các bệnh lý, hiện nay Bệnh viện Đa khoa Quốc tế Vinmec đã trở thành một trong các trung tâm chăm sóc sức khỏe lớn, có khả năng thăm khám, sàng lọc và điều trị nhiều bệnh lý chuyên sâu. Do đó, bạn có thể đến Bệnh viện Đa khoa Quốc tế Vinmec để thăm khám và nhận được sự hỗ trợ, tư vấn từ các bác sĩ.
Để được tư vấn trực tiếp, Quý Khách vui lòng bấm số HOTLINE hoặc đăng ký lịch trực tuyến TẠI ĐÂY. Tải ứng dụng độc quyền MyVinmec để đặt lịch nhanh hơn, theo dõi lịch tiện lợi hơn!
source https://blog-health.com/xu-tri-tang-kali-mau/
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japonkalecom · 3 years
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Football Manager 2021 wonderkids ile birlikte artık sitemizde FM21 ile ilgili çok daha fazla içerik bulabileceksiniz. Football Manager bildiğiniz gibi dünyada olduğu kadar ülkemizde de çok yaygın şekilde oynanılan hatta bazen gerçek takımların transfer yapmak için kaynak olarak kullandığı bir oyundur. Sizler için listelemiş olduğumuz Football Manager 2021 wonderkids listemizi sayfanın aşağılarında bulabilirsiniz. Her mevkiye göre ayrı ayrı sıralanan FM21 Wonderkids listesinde oyuncunun Ranking ini yani fmscout sitesin yapmış olduğu tavsiye sıralama puanını, adını, yaşını, mevkisini, kulübünde aldığı maaşı, bonservis bedelini ve uyruğunu görebilirsiniz.
Peki Wonderkids nedir?
Wonderkids demek potansiyel yeteneği 150 ve üzeri olan, 20 yaşından büyük olmayan oyunculara verilen isimdir. Football Manager 2021 wonderkids listemizde sizlere takımınıza katmanız halinde bir kaç seneye çok iyi gelişim gösterebilecek ve çok iyi bonservis ücretlerine transfer satışı yapabileceğiniz oyuncuları sergiledik. Ranking (R) (tavsiye sıralama puanı) ise şu şekilde belirlenmiştir. 81 ve üstü puanlu oyuncular - Dünya klasmanı 78-80 arası puanlı oyuncular Premier lig'de çok iyi olabilecek oyuncular 75-77 arası puanlı oyuncular Championship'te oynayabilecek oyuncular 72-74 arası puanlı oyuncular 1. Lig'de oynayabilecek oyuncular 68-71 arası puanlı oyuncular 2. Lig'de oynayabilecek oyuncular  
FM21 Wonderkids adayı Kaleciler
R Soyadı, Adı Yaş Pozisyon Kulüp Maaş (K) Piyasa Değeri (M) Uyruk 84 Vandevoordt, Maarten 18 GK KRC Genk 4.1 0.1 83 Gasparini, Manuel 18 GK Udinese 2 0.07 83 van Sas, Mikki 16 GK Man City 0.1 0.01 83 Meslier, Illan 20 GK Leeds 20 18.4 82 Iturbe, Alejandro 16 GK A. Madrid 0.3 0.008 81 Matheus Donelli 18 GK COR 0.4 0.01 80 Iván Martínez 18 GK Atlético Pamplona 1.1 0.03 80 Kovár, Matej 20 GK Man Utd 2.5 0.2 80 Russo, Alessandro 19 GK Sassuolo 4.8 0.1 79 Costa, Diogo 20 GK FCP 3.4 1 79 Bazunu, Gavin 18 GK Man City 5 0.1 78 Bajic, Stefan 18 GK AS Saint-Etienne 1 0.1 78 Setford, Charlie 16 GK Ajax 0.09 0.03 78 Owusu-Oduro, Rome-Jayden 16 GK AZ 0.09 0.02 78 Cristian 18 GK ATM 0.07 0.001 77 Turati, Stefano 18 GK Sassuolo 0.2 0.08 77 Jörgensen, Filip 18 GK Villarreal 1.5 0.05 77 Dutra, Sérgio 18 GK Vit. Guimarães 0.5 0.002 77 Dewhurst, Marcus 19 GK Sheff Utd 0.6 0.1 77 Meixedo, Francisco 19 GK FCP 1.8 0.01 76 Klaesson, Kristoffer 19 GK Vålerenga 0.3 0.3 76 Boyce-Clarke, Coniah 17 GK Reading 1.8 0.03 76 Petrovic, Djordje 20 GK Cukaricki 0.6 0.05 76 Carnesecchi, Marco 20 GK Atalanta 3.5 0.3 75 Svilar, Mile 20 GK SLB 9.3 0.3 75 Chevalier, Lucas 18 GK LOSC 0.9 0.08 75 Lavallée, Lucas 17 GK LOSC 0.08 0.04 75 Gabriel Brazão 19 GK Inter 3.6 0.1 74 Pinto, Diogo 16 GK Sporting 0.06 0.001 74 Mabon, Tom 16 GK FC Nantes 0.06 0.02 70 Raatsie, Calvin 18 GK Ajax 0.6 0.07
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R Soyadı, Adı Yaşı Pozisyon Kulüp Maaş (K) Piyasa Değeri (M) Uyruk 91 de Ligt, Matthijs 20 D C Zebre 213 35 83 Papetti, Andrea 18 D C Brescia 0.2 1.6 82 Carrillo, Álvaro 18 D C R. Madrid 1.2 0.04 82 Pembélé, Thimothée 17 D C Paris SG 5.2 0.2 81 Østigård, Leo 20 D C Brighton 4 3.9 81 Saliba, William 19 D C Arsenal 40 11.6 81 Amione, Bruno 18 D C Verona 3.5 0.2 79 Iranzo, Rubén 17 D C Valencia 1.4 0.04 79 Armini, Nicolò 19 D RC Lazio 17.7 0.1 78 Kambwala, Willy 15 D C Man Utd 0.1 0.06 78 Viti, Mattia 18 D C Empoli 1.4 0.1 78 Brás, Gabriel 16 D C FCP 0.06 0.001 77 Almeida, Diego 16 D C Barcelona 0.7 0.04 76 Mengi, Teden 18 D C Man Utd 1.2 7.1 83 Lovato, Matteo 20 D C Verona 2.8 0.6 80 Cuenca, Jorge 20 D C Villarreal 5.6 0.1 78 Ferguson, Nathan 19 D RC Crystal Palace 35 7.1 80 Dalle Mura, Christian 18 D C Fiorentina 0.2 0.04 76 Sadick, Mujaid 20 D RC Coruña 4.6 0.1 78 Chust, Víctor 20 D C R. Madrid 2.5 0.09 87 Todibo, Jean-Clair 20 D C, DM Barcelona 21.9 4.9 83 Fofana, Wesley 19 D C Leicester 55 11.6 82 Rensch, Devyne 17 D RLC, DM Ajax 1 0.2 77 Gabbia, Matteo 20 D C Milan 19.5 1.4 79 Koumetio, Billy 17 D C Liverpool 0.7 0.01 81 Pirola, Lorenzo 18 D C Inter 1.5 0.07 80 Normann Williamsen, Max 17 D C Kristiansund 0.3 0.02 79 Quaresma, Eduardo 18 D C Sporting 4.5 0.7 79 Pierie, Kik 20 D LC Ajax 2.8 1.4 78 Solet, Oumar 20 D C, DM FC RB Salzburg 4.3 0.3 73 Baptiste, Jamal 16 D C West Ham 0.1 0.04 80 Harwood-Bellis, Taylor 18 D C Man City 3 0.5 82 Pavlovic, Strahinja 19 D C AS Monaco 6.9 0.9 79 Wood, Nathan 18 D C Middlesbrough 1 0.1 81 Badiashile, Benoît 19 D C AS Monaco 10.5 2.4 79 Muñoz, Iván 18 D LC Valencia 2.4 0.1 79 Ramón, Pablo 19 D RC R. Madrid 1.4 0.04 76 Mbete-Tabu, Luke 16 D C Man City 0.1 0.02 78 Mosquera, Cristhian 16 D RC Valencia 0.06 0.05 77 Álvaro, Pedro 20 D C SLB 2.7 0.1 76 Kossounou, Odilon 19 D RC Club Brugge 4.5 0.6 79 Kamardin, Aaron 18 D C, DM OM 1.3 0.02 77 Guillamón, Hugo 20 D C Valencia 5.9 0.1 76 Zaal, Timo 16 D C sc Heerenveen 0.09 0.05 78 Vinhas, David 17 D C FCP 1.8 0.006 81 Stergiou, Leonidas 18 D C St. Gallen 2.1 0.9 79 Branthwaite, Jarrad 18 D RLC Everton 5 0.3 76 Kolskogen, Ole Martin 19 D C Brann 0.6 0.06 78 Burns, Finley 17 D C Man City 0.1 0.06 77 Simakan, Mohamed 20 D RC Strasbourg 4.5 0.6 77 Brassier, Lilian 20 D C Rennes 3.6 0.4 81 King, Leon 16 D RLC, DM Rangers 0.03 0.008 74 Machuca, Elías 17 D C Racing Club 0.4 0.7 82 Bettella, Davide 20 D C Atalanta 1.5 0.6 77 Diakité, Bafodé 19 D RC Toulouse FC 4.4 0.3 77 Vuskovic, Mario 18 D C, DM Hajduk 0.6 0.05 83 García, Eric 19 D C Man City 12 22.6 76 Syrota, Olexandr 20 D C Dynamo Kyiv 0.2 0.03 76 González de Zárate, Urko 19 D C, DM Real San Sebastián 1.6 0.06 79 Struijk, Pascal 20 D C, DM Leeds 2 2.9 79 Geovani 20 D C FLU 0.1 0.01 81 Ramos Mingo, Santi 18 D C Barcelona 2.2 0.04 78 Méndez, Bruno 20 D RC COR 3.5 0.7 75 van den Berg, Rav 16 D C PEC Zwolle 0.09 0.05 75 Pascual, Martín 20 D C Vallecano 3.4 0.2 77 Gila, Mario 19 D C, DM R. Madrid 3.3 0.1 77 Greiml, Leo 19 D C SK Rapid Vienna 1.2 0.3 76 Schuurs, Perr 20 D C, DM Ajax 4.5 1.6 78 Zaletel, Zan 20 D C Celje 0.9 0.3 82 Kaiky 16 D LC SAN 0.04 0.001 78 Morato 19 D C, DM SLB 3.4 0.1 79 Binks, Luis 18 D C Bologna 1.8 0.09 77 Quiroz, Leandro 16 D C Colón 0.02 0.3 81 Arrey-Mbi, Bright 17 D C FC Bayern 1.4 0.04 77 Tagir, Ravil 17 D C Basaksehir 2.9 0.2 78 Markovic, Svetozar 20 D RC Olympiakos 6.3 0.3 79 Youte Kinkoue, Etienne 18 D C Inter 0.2 0.04 79 Milovanovic, Mateja 16 D LC, DM Ajax 0.09 0.05 83 Nianzou, Tanguy 18 D C, DM FC Bayern 33.6 0.1 78 Wilmot, Ben 20 D C Watford 5 2.9 76 Maresic, Dario 20 D C, DM Reims 9 1.4 81 Antov, Valentin 19 D C, DM CSKA-Sofia 1.1 0.1 78 N'Dicka, Evan 20 D C Eintracht Frankfurt 8.7 1 83 Bella-Kotchap, Armel 18 D C VfL Bochu 3.5 0.05 78 Aertssen, Olivier 15 D C, DM Ajax 0.09 0.04 80 González, Facundo 17 D C Valencia 1.4 0.05 81 Kabak, Ozan 20 D C Schalke 04 35.1 4 79 Omeragic, Becir 18 D C Zürich 2.7 0.4 81 Collins, Nnamdi 16 D C Borussia Dortmund 0.06 0.01 81 Sutalo, Bosko 20 D RC Atalanta 6.6 1.5 88 Gvardiol, Josko 18 D LC RB Leipzig 13.3 0.9 84 Ampadu, Ethan 19 D C, DM Chelsea 7.5 8.1 78 Roberts, Haydon 18 D C Brighton 4 1.4 78 Pambou, Leon 16 D C Southampton 0.1 0.02 77 Cardoso, Gonçalo 19 D C West Ham 10 1.1 76 Ávila, Gastón 18 D C Boca 1.3 0.3 85 Pérez, Nehuén 20 D C A. Madrid 15.1 4 75 St. Jago, Tommy 20 D C FC Utrecht 1.7 0.7 87 Kumbulla, Marash 20 D C Verona 31.7 5 84 Vanheusden, Zinho 20 D C Standard 23.7 5.7 79 Lawrence, Jamie 17 D C FC Bayern 0.8 0.16 79 Walukiewicz, Sebastian 20 D C, DM Cagliari 8 3.5 78 Richards, Chris 20 D RC FC Bayern 3.2 0.17 78 Schlotterbeck, Nico 20 D LC SC Freiburg 3.5 2.2 77 Otasowie, Owen 19 D C, DM Wolves 0.7 2 76 Klarer, Christoph 20 D C Fortuna Dusseldorf 2.2 0.5 75 Denk, Luca 17 D C, DM FC Bayern 0.06 0.09 74 Gibson, Lewis 20 D LC Everton 5 0.45 74 Aliu, Arbnor 17 D RLC, DM Schalke 04 0.06 0.09 73 Fleurs, Luke 20 D C SuperSport Utd 0.5 0.02
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R Soyadı, Adı Yaş Pozisyon Kulüp Maaş (K) Piyasa Değeri (M) Uyruk 82 Williams, Brandon 19 D/WB RL Man Utd 40 19.7 79 Montañana, Hugo 17 D LC, M L Valencia 1.4 0.05 79 Bard, Melvin 19 D LC OL 14 0.7 83 Calafiori, Riccardo 18 D/WB/M L Roma 13 0.1 84 Miranda, Juan 20 D/WB/M L Barcelona 7.2 0.8 77 Imanol 20 D LC A. Bilbao 2.1 0.07 80 Hickey, Aaron 18 D RL Bologna 13.1 0.8 77 Fernández, Álvaro 17 D L Man Utd 1.5 0.06 81 Zagré, Arthur 18 D L AS Monaco 11.5 0.2 86 Mendes, Nuno 18 D/WB L Sporting 4.1 4.5 78 Ruggeri, Matteo 18 D/WB L Atalanta 0.2 0.07 84 Aït-Nouri, Rayan 19 D L Angers SCO 9.8 2.2 81 Vázquez, Jesús 17 D/WB/M L Valencia 1.6 0.06 86 Katterbach, Noah 19 D/WB L 1. FC Köln 1.7 1 81 Montóia, Guilherme 16 D/WB L SLB 0.06 0.006 77 Pérez, Pablo 18 D/WB/AM L Sevilla 1.2 0.03 74 Maatsen, Ian 18 D/WB L, M C Chelsea 7.5 0.2 80 Bradaric, Domagoj 20 D/WB L LOSC 8.4 0.6 77 Aning, Prince 16 D/WB L Ajax 0.09 0.02 81 Herrero, Toni 19 D/WB L Levante 1.2 0.03 82 Mitchell, Tyrick 20 D/WB L Crystal Palace 0.5 3.7 82 Cacace, Liberato 19 D/WB L STVV 6.1 0.5 79 Netz, Luca 17 D/WB L Hertha BSC 0.06 0.03 76 Candelaria, Jayden 16 D LC Feyenoord 0.09 0.03 85 Wijndal, Owen 20 D/WB/M L AZ 3.8 2.8 77 Fran García 20 D/WB/AM L R. Madrid 1.6 0.06 85 De la Víbora, David 17 D/WB/M L R. Madrid 0.3 0.007 78 Davies, Alphonso 19 D/WB L, AM RL FC Bayern 87.6 6 78 Lelo, Leonardo 20 D/WB/AM L Olhanense 0.2 0.04 79 Romero, Cristo 20 D/WB/AM L Málaga 1.8 0.08 77 Centelles, Álex 20 D/WB L Almería 5.3 0.2 79 Thomas, Luke 19 D/WB/M L Leicester 25 0.4 73 Daley, Luke 18 D/WB/AM L Huddersfield 0.1 0.004 78 Balde, Alejandro 17 D/WB/AM L Barcelona 0.9 0.02 81 Cirkin, Dennis 18 D/WB L Tottenham 1.5 0.2 79 Larios, Juan 16 D/WB L Man City 0.1 0.01 79 Bello, George 18 D/WB L Atlanta United 1.2 0.8 74 Chrisene, Ben 16 D/WB L, AM LC Aston Villa 0.1 0.02 78 Sertel, Cemali 20 D LC Basaksehir 5.9 2.5
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R Soyadı, Adı Yaş Pozisyon Kulüp Maaş (K) Piyasa Değeri (M) Uyruk 81 Yan Couto 18 D/WB R Man City 5 0.2 75 Konoplya, Yukhym 20 D/WB RL Shakhtar 1.7 0.2 83 Esteves, Tomás 18 D/WB R FCP 3.4 0.3 77 Scott, Jack 17 D/WB R Wolves 0.7 0.04 82 Pinheiro, Rodrigo 17 D/WB R FCP 1.2 0.01 80 Cruz, Filipe 18 D/WB/AM R SLB 1.6 0.01 86 Aarons, Max 20 D/WB R Norwich 18 14.9 82 Gusto, Malo 17 D/WB R, M C OL 0.5 0.04 81 Kalulu, Pierre 20 D/WB R Milan 16 0.1 75 Livramento, Valentino 17 D/WB/AM R Chelsea 1.2 0.1 81 Laird, Ethan 18 D/WB RL Man Utd 4 4.3 80 Joseda 18 D RC Valencia 2.4 0.1 79 Beyer, Louis 20 D RC Gladbach 4.1 1.1 76 Porro, Pedro 20 D/WB R, AM RC Man City 30 14.2 80 Hoever, Ki-Jana 18 D RC Wolves 12 0.2 81 Vagnoman, Josha 19 D/WB RL Hamburger SV 7 0.3 81 Víctor Gómez 20 D/WB R Espanyol 5.6 0.3 80 Dest, Sergiño 19 D/WB RL, M R Barcelona 25.2 10 75 Lamptey, Tariq 19 D/WB RL, M R Brighton 5 15.9 79 Jurado, Marc 16 D R Man Utd 0.1 0.02 78 Casas, Ismael 19 D RC Málaga 1.8 0.2 79 Bogle, Jayden 20 D/WB R Sheff Utd 20 4.8 86 James, Reece 20 D/WB R, M C Chelsea 60 25.6 78 Williams, Neco 19 D/WB R Liverpool 8 1.8 77 Frimpong, Jeremie 19 D/WB RL Celtic 8 4.3 82 Zappa, Gabriele 20 D/WB/M R Pescara 5.3 2
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R Soyadı, Adı Yaş Pozisyon Kulüp Maaş (K) Piyasa Değeri (M) Uyruk 83 Gustavo Assunção 20 DM Famalicão 2 3.7 82 Rovella, Nicolò 18 DM Genoa 0.2 0.7 82 Ugarte, Manuel 19 DM Fénix 1.6 1.2 79 Brito, Rafael 18 D C, DM SLB 2.7 0.1 83 Kana, Marco 17 D C, DM Anderlecht 4.5 0.1 79 Duvnjak, Tomislav 17 DM Dinamo 0.2 0.01 78 Clarkson, Leighton 18 DM Liverpool 0.7 0.04 78 Diakité, Ousmane 20 DM FC RB Salzburg 0.7 0.3 78 Krastev, Dimo 17 DM Fiorentina 0.2 0.05 78 Viviani, Mattia 19 DM Chievo 3.2 0.7 86 Luís, Florentino 20 DM SLB 16.8 6.7 79 Reis, Ludovit 20 DM Barcelona 6.1 0.1 87 Tonali, Sandro 20 DM Brescia 38.3 10.4 78 Victor Bobsin 20 DM GRE 1 0.1 80 Lütke-Frie, Dennis 17 DM Borussia Dortmund 0.06 0.01 78 Bruno Gomes 19 DM VDG 2.6 0.6 75 Gragera, José 20 DM S. Gijón 2.3 0.1 76 Djokanovic, Andrej 19 DM Sarajevo 0.1 0.001 78 Esposito, Salvatore 19 DM SPAL 5.2 1.1 78 Mendy, Batista 20 DM FC Nantes 4.2 0.5 78 Morante, Iván 19 DM R. Madrid 0.5 0.02 81 Tijani, Samson 18 D C, DM FC RB Ralzburg 2.2 0.1 79 Kenneh, Nohan 17 D C, DM Leeds 0.5 0.2 79 Massengo, Han-Noah 19 DM Bristol City 5 0.4 79 Diego Rosa 17 DM GRE 0.6 0.04 79 Sandry 17 DM SAN 2.8 0.6 77 Lavia, Roméo 16 DM Man City 0.1 0.1 77 Vencedor, Unai 19 DM A. Bilbao 4.3 0.1 80 Ghion, Andrea 20 DM Sassuolo 2.6 0.1 83 Vera, Fausto 20 DM Argentinos Jrs. 3.2 1.7 77 Doucouré, Cheick 20 DM RC Lens 2.4 0.6 79 Faticanti, Giacomo 15 DM Roma 0.2 0.001 80 Chotard, Joris 18 DM Montpellier 4.8 0.7 79 Orellana, Jandro 19 DM Barcelona 3.9 0.1 78 Umyarov, Nail 20 DM Spartak Moscow 14.5 0.4 83 Skipp, Oliver 19 DM Tottenham 25 7.5 76 Pizzuto, Eugenio 18 DM LOSC 0.9 0.1 83 Kamara, Boubacar 20 D C, DM OM 46.2 9.2 80 Krauß, Tom 19 DM RB Leipzig 3.1 0.12 78 Stiller, Angelo 19 DM FC Bayern 0.8 0.28
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R Soyadı, Adı Yaş Pozisyon Kulüp Maaş (K) Piyasa Değeri (M) Uyruk 79 Bertelli, Ugo 17 M C OM 1.8 0.03 84 Baró, Romário 20 M C FCP 3.4 1.5 78 Jóhannesson, Ísak Bergmann 17 D/WB L, AM RLC IFK Norrköping 1.4 0.2 87 Gravenberch, Ryan 18 DM, AM LC Ajax 2.9 1.6 80 Ponceau, Julien 19 AM C FC Lorient 1.7 0.3 81 Taylor, Kenneth 18 D C, DM, M RLC Ajax 1.3 0.4 76 Lozano, Pol 20 DM Espanyol 1.6 0.1 82 Gyabuaa, Emmanuel 18 DM Atalanta 0.5 0.08 88 Ilaix Moriba 17 DM, AM C Barcelona 11.5 0.1 77 Tchouameni, Aurélien 20 M C AS Monaco 11.5 0.7 86 Dwomoh, Pierre 16 AM RC, F C KRC Genk 0.05 0.1 85 Gómez, Sergio 19 AM RLC Borussia Dortmund 14 0.8 79 Sibley, Louie 18 AM C Derby 6 2.1 81 Simons, Xavi 17 DM Paris SG 0.5 0.04 78 Ricci, Samuele 18 DM Empoli 5.2 1.2 77 Almeida, André 20 AM C Vit. Guimarães 1.6 0.3 79 Kitolano, Joshua 18 M C Odd 1 0.7 79 Proper, Dirk 18 AM C N.E.C. 0.9 0.09 80 Palaversa, Ante 20 DM, M LC Man City 15 1.8 80 Theo 18 AM C R. Madrid 1.2 0.03 78 Prioste, Diogo 16 M C SLB 0.06 0.001 76 Lepenant, Johann 17 M C SM Caen 0.4 0.02 79 Tejón, Martín 16 AM RLC Valencia 0.8 0.03 82 Sousa, Vasco 17 AM C FCP 1.3 0.007 83 Fitz-Jim, Kian 17 AM LC Ajax 0.1 0.03 78 Fagioli, Nicolò 19 DM, AM C Zebre 2.1 0.09 85 Gavi 15 AM C Barcelona 0.06 0.04 79 Lucas Ramos 19 M C INT 0.1 0.007 82 Gibbs-White, Morgan 20 AM C Wolves 15 6.8 84 Hannibal 17 AM C Man Utd 5 0.2 76 Gutiérrez, Ismael 19 DM A. Madrid 4.6 0.1 82 Shackleton, Jamie 20 M C Leeds 1.7 5.5 82 Alcaraz, Carlos 17 AM RC Racing Club 0.5 0.7 80 Tagseth, Edvard 19 DM, AM LC Rosenborg 2 0.02 78 Baldursson, Andri Fannar 18 AM C Bologna 4.3 0.1 79 Barrenechea, Enzo 19 DM Zebre 1.9 0.08 81 Monchu 20 DM Barcelona 3.9 0.1 83 Blanco, Antonio 20 DM R. Madrid 4.6 0.1 84 Koba Lein 18 M C Valencia 3.2 0.1 80 Longstaff, Matty 20 DM, AM C Newcastle 25 8.6 82 Cajuste, Jens 20 D/WB R, DM, M RC FC Midtjylland 4.6 0.3 84 Puig, Riqui 20 AM C Barcelona 5.9 2.8 88 Ferreira, Vítor 20 DM FCP 2 1 80 Palumbo, Martin 18 AM C Udinese 0.2 0.2 81 Patino, Charlie 16 DM Arsenal 0.1 0.06 78 Bulat, Marko 18 DM, AM C Sibenik 0.1 0.04 87 Cuisance, Mickaël 20 DM, AM C FC Bayern 43.9 2.3 82 Vranckx, Aster 17 DM, AM C KV Mechelen 2.2 0.5 84 Stamenic, Marko 18 DM, AM C FC København 1.2 0.005 78 White, Harvey 18 DM Tottenham 1.5 0.5 81 Sucic, Luka 17 AM C FC RB Salzburg 1.3 0.1 81 Kapi, Mustafa 17 AM C LOSC 0.5 0.02 79 Ilic, Ivan 19 DM, AM C Man City 5 1.8 78 Portanova, Manolo 20 AM C Zebre 3.3 0.1 78 Caio Lopes 19 DM VDG 0.7 0.05 77 Camara, Mohamed 20 M C FC RB Salzburg 2.7 0.3 79 Brescianini, Marco 20 DM Milan 4.4 0.2 79 Henderson, Ewan 20 AM RLC Celtic 1.5 0.04 80 Nartey, Nikolas 20 DM, AM C VfB Stuttgart 4.1 0.1 81 Utkin, Daniil 20 AM C Krasnodar 14.6 0.4 81 Patrick de Paula 20 DM SEP 6.9 2.3 76 Jimenez, Mylian 17 M C PSV 0.2 0.03 79 Baturina, Martin 17 AM C Dinamo 0.1 0.006 84 Adli, Yacine 19 AM RC Bordeaux 16.8 2.5 80 Perrone, Máximo 17 DM Vélez 1.2 0.4 79 Garner, James 19 DM Man Utd 10 6.4 82 Willock, Joe 20 M C Arsenal 40 15.9 82 Alastuey, Jorge 17 DM, AM C Barcelona 1 0.05 79 Matazo, Eliot 18 DM, M RC AS Monaco 0.8 0.08 78 Jaloliddinov, Jasurbek 18 AM RC Lokomotiv Moscow 2 0.04 77 Harper, Rekeem 20 DM, AM C West Brom 10 4.8 79 Galbraith, Ethan 19 M C Man Utd 10 0.3 82 Agoume, Lucien 18 DM, AM C Inter 7.1 0.1 78 Alemañ, Pedro 18 AM C Valencia 2.4 0.1 79 Doyle, Tommy 18 DM Man City 10 0.5 80 Neto, Martim 17 M RC SLB 1.3 0.007 81 Bernardo, Paulo 18 AM C SLB 1.8 0.09 81 Riccardi, Alessio 19 AM C Roma 16.2 0.2 82 Sancet, Oihan 20 AM C A. Bilbao 8.6 1 80 Dabo, Abdoulaye 19 M RC FC Nantes 3 0.3 83 Gabriel Menino 19 D/WB R, D SEP 9.3 3.1 73 Dele-Bashiru, Tom 20 DM Watford 5 0.2 80 Lucas Martello 20 DM, AM C Verona 2.4 0.1 86 De Ketelaere, Charles 19 AM LC Club Brugge 7.7 1.1 78 Kozlowski, Kacper 16 AM C Pogon 0.06 0.006 81 Chukwuemeka, Carney 16 AM C Aston Villa 0.1 0.01 80 Blesa, Álex 18 AM C Levante 1.4 0.05 82 Gilmour, Billy 19 AM C Chelsea 7.5 2.1 83 Aouchiche, Adil 18 AM C AS Saint-Etienne 16.8 0.3 81 N'Guessan, Jean 17 M C RC Abidjan 0.1 0.1 79 Mijnans, Sven 20 AM C Sparta 0.8 0.1 84 Marcos Antonio 20 DM Shakhtar 6.9 2.2 77 Ayala, David 18 DM Estudiantes (LP) 1.8 0.7 78 Regeer, Youri 16 D C, DM, AM C Ajax 0.1 0.1 81 Caicedo, Moisés 18 DM Independiente del Valle 0.8 0.09 79 Kökçü, Orkun 19 AM C Feyenoord 6.1 1.1 86 Elmas, Eljif 20 AM C Napoli 40 7.5 78 Karbownik, Michal 19 D RL, DM Brighton 2 0.3 82 Nico 18 DM Barcelona 1.1 0.1 76 Webster, Charlie 16 M C Chelsea 0.1 0.01 79 Gyabi, Darko 16 AM C Man City 0.1 0.01 84 Caqueret, Maxence 20 DM, AM C OL 17.5 3.6 78 Rhein, Torben 17 DM, AM C FC Bayern 0.7 0.04 85 Bellingham, Jude 17 AM RLC Borussia Dortmund 0.06 1.1 75 Jankewitz, Alexandre 18 DM, AM C Southampton 1 0.1 84 Musah, Yunus 17 AM RC Valencia 9.9 1.2 79 Bate, Lewis 17 DM Chelsea 0.6 0.1 76 Uriarte, Kepa 18 M C A. Bilbao 1.1 0.03 76 Enríquez, Ramón 19 DM, AM C Málaga 3.5 0.2 84 Szoboszlai, Dominik 19 AM LC FC RB Salzburg 4.3 5.8 80 Raskin, Nicolas 19 DM Standard 2.2 2.6 81 Kartsev, Eden 20 DM, AM C Maccabi Tel-Aviv 0.2 0.1 79 Rønningen Jørgensen, Filip 18 DM Odd 0.7 0.7 80 Arnstad, Kristian 16 M C Anderlecht 1.6 0.02 78 Neto 17 D/WB R, D AT 0.09 0.001 81 Campbell, Chem 17 AM C Wolves 0.6 0.03 81 Ugochukwu, Lesley 16 M C Rennes 0.5 0.02 91 Camavinga, Eduardo 17 DM Rennes 18.9 6.5 78 El Jebari, Salim 16 AM C A. Madrid 0.3 0.01 77 Bondo, Warren 16 M C Nancy 0.4 0.01 89 Pipi 16 AM C R. Madrid 1.2 0.03 78 Boudaoui, Hicham 20 M C OGC Nice 9.7 1.5 81 Goudmijn, Kenzo 18 DM, AM C AZ 0.8 0.1 80 Nicolussi Caviglia, Hans 20 AM RC Zebre 7.9 0.4 81 Essahel, Amine 17 AM C Academie Mohammed VI 0 0.06 81 Onana, Amadou 18 DM Hamburger SV 3.5 0.06 81 Bogusz, Mateusz 18 AM C Logrones 10 2.1 80 Gallagher, Conor 20 AM C Chelsea 15 7 81 Jenkins, Jack 18 DM Leeds 0.8 0.37 75 Kvaratskhelia, Khvicha 20 D R, DM Dinamo Tb. 1.4 0.33
  FM21 Wonderkids Sol Ortasaha Oyuncuları
R Soyadı, Adı Yaş Pozisyon Kulüp Maaş (K) Piyasa Değeri (M) Uyruk 91 Sancho, Jadon 20 AM RL Borussia Dortmund 105 33.1 89 Jones, Curtis 19 AM RLC Liverpool 20 7.3 79 Mudryk, Mykhaylo 19 AM RLC Shakhtar 1.8 0.3 75 Braaf, Jayden 17 AM RL Man City 7.5 5 81 Bynoe-Gittens, Jamie 15 AM RL Borussia Dortmund 0.06 0.01 86 Shoretire, Shola 16 AM RLC Man Utd 0.1 0.09 84 Laínez, Diego 20 AM RL Real Hispalis 7.3 0.9 76 Diallo, Amadou 17 AM RLC, F C West Ham 0.1 0.04 83 Zeballos, Exequiel 18 AM RL, ST Boca 1.3 0.4 83 Talles Magno 18 AM RLC, F C VDG 6.3 2.4 79 Sessegnon, Ryan 20 D/WB/AM L Tottenham 55 19.3 83 Paulinho 20 AM RLC Bayer 04 26.3 1.3 81 Cuéllar, Jaume 18 AM LC, F C SPAL 0.2 0.2 85 Martinelli, Gabriel 19 AM RLC, F C Arsenal 35 19.3 79 Okafor, Noah 20 AM RL FC RB Salzburg 4.9 2.3 84 Conceição, Francisco 17 AM RL FCP 1.6 0.03 78 Azarkan, Marouan 18 AM RL Feyenoord 1.2 0.3 78 Cangiano, Gianmarco 18 AM RL Bologna 0.2 0.2 79 Marin, Antonio 19 AM L Dinamo 4.3 0.4 75 Elanga, Anthony 18 AM RL Man Utd 1 0.2 86 Hauge, Jens Petter 20 AM RL Milan 26.7 4.4 83 Doku, Jérémy 18 AM RL, ST Rennes 13.7 1 77 Daal, Ro-Zangelo 16 AM RLC, F C AZ 0.09 0.07 78 Weah, Timothy 20 AM RLC, F C LOSC 14.7 2.6 79 Valera, Germán 18 AM L, ST A. Madrid 0.4 0.01 82 Kadioglu, Ferdi 20 AM RLC Fenerbahçe 10.3 3.5 79 Colley, Ebrima 20 AM LC, F C Atalanta 8.6 0.7 81 D'Amico, Felice 19 AM LC, F C Sampdoria 3.3 0.1 83 Poku, Ernest 16 AM RL, ST AZ 0.09 0.06 79 Mambimbi, Felix 19 AM RLC Young Boys 3.6 0.6 78 Vallejo, Hugo 20 AM RL, ST R. Madrid 1.6 0.06 82 Kvaratskhelia, Khvicha 19 AM RL Rubin 1.1 0.5 74 Jasper, Sylvester 18 AM RL Fulham 2.5 0.2 78 Urzi, Agustín 20 AM RL Banfield 3.2 1.8 83 Damsgaard, Mikkel 20 AM RLC, F C Sampdoria 3.2 1.7 83 Saka, Bukayo 18 WB L, AM RL Arsenal 30 25.9 84 Gouiri, Amine 20 AM L, ST OGC Nice 10.5 2.6 80 Da Cunha, Lucas 19 AM RL OGC Nice 1.7 0.1 76 Hlozek, Adam 18 AM RL, ST Sparta Prague 2.7 0.3 81 Pellegrini, Matías 20 AM L Inter Miami 11.6 2 83 Bryan Gil 19 AM RLC Sevilla 4.1 0.1 81 De la Fuente, Konrad 19 AM RL Barcelona 2.2 0.2 83 Antonisse, Jeremy 18 AM L, ST PSV 0.5 0.09 80 Servais, Mathis 15 AM RL Club Brugge 0.05 0.01 79 Sulemana, Kamaldeen 18 AM L FC Nordsjælland 1.1 0.1 89 Fati, Ansu 17 AM RL, ST Barcelona 10.6 21.2 77 Ceide, Emil 18 AM RL Rosenborg 1.6 0.6 83 Stevanovic, Filip 17 AM RLC Man City 10 2.2 79 Luís Henrique 18 AM RL, ST OM 14 0.7 80 Juwara, Musa 18 AM RL, ST Bologna 8.1 0.1 80 Marcos Paulo 19 AM LC FLU 2.7 1.2 83 De La Vega, Pedro 19 AM RL, ST Lanús 2.9 1.1 86 McNeil, Dwight 20 AM RL, ST Burnley 45 19.3 78 Rhuan 20 AM LC, F C BOT 0.8 0.09 79 Fernandes, Joelson 17 AM RL Sporting 5.2 0.2 80 Gabriel Veron 17 AM RL, ST SEP 1 0.1 85 Serrano, Nico 17 AM RL, ST A. Bilbao 1.4 0.06 78 Lewis-Potter, Keane 19 AM RLC, F C Hull 0.8 0.5 84 Aranda, Óscar 18 AM L, ST R. Madrid 0.5 0.01 86 Vinícius Júnior 20 AM L, ST R. Madrid 197 17.7 86 Cherki, Rayan 16 AM RLC, F C OL 8.7 0.2 79 van der Heide, Arjen 18 AM RL sc Heerenveen 0.7 0.1 79 Barrenetxea, Ander 18 AM RL Real San Sebastián 12.5 3.9 81 Arribas, Sergio 18 AM LC R. Madrid 1.6 0.06 86 Hudson-Odoi, Callum 19 AM RLC Chelsea 120 25.9 78 Araújo, Tiago 19 D/WB L, AM RL SLB 2.5 0.2 80 Baiaram, Stefan 17 AM RL U Craiova 1 0.08 72 Iling, Samuel 16 D/WB L, AM RL Zebre 0.2 0.03 74 Jakobs, Ismail 20 WB L/AM L 1. FC Koln 13.2 2.7 84 Velasco, Alan 18 AM RLC, F C Independiente 2.4 0.7
  FM21 Wonderkids Sağ Ortasaha Oyuncuları
R Soyadı, Adı Yaş Pozisyon Kulüp Maaş (K) Piyasa Değeri (M) Uyruk 85 Vignato, Emanuel 19 AM RC Bologna 9.7 0.7 84 Neto, Pedro 20 AM RL, ST Wolves 40 10.3 87 Trincão, Francisco 20 AM RL Barcelona 20.2 6.5 79 Álvarez, Julián 20 AM RLC, F C River 3.7 1.3 82 Marshall-Rutty, Jahkeele 16 AM RL Toronto FC 0.9 0.1 85 Sávio 16 AM RL, ST ATM 0.7 0.06 83 Pellistri, Facundo 18 AM R, ST Man Utd 25 5 77 Rodríguez, Benjamín 17 AM RL, ST Defensor Sporting 0.09 0.03 79 Lihadji, Isaac 18 AM RC LOSC 1.1 0.1 80 Plata, Gonzalo 19 AM RLC Sporting 7.7 1 81 Tete 20 AM R Shakhtar 6.9 2.4 77 Ndoye, Dan 19 AM RL, ST OGC Nice 4.2 0.5 80 Renyer 17 AM R SAN 0.04 0.05 78 Rodríguez, Alan 20 AM R Defensor Sporting 0.2 0.2 85 Torres, Ferran 20 AM RL Man City 60 30.1 81 Róber 19 AM RL Real Hispalis 3.2 0.1 81 Skov Olsen, Andreas 20 AM R Bologna 26 1.6 83 Akhomach, Ilias 16 AM RLC, F C Barcelona 0.7 0.06 84 Diallo, Amad 18 AM RL, ST Atalanta 4.6 0.2 80 Tramoni, Lisandru 17 AM RL Cagliari 0.7 0.05 82 Olivera, Cristian 18 AM R, ST Almería 2.7 0.2 77 Chong, Tahith 20 AM RL, ST Man Utd 48 7.9 78 Clarke, Jack 19 AM RL Tottenham 25 2.2 82 Oddei, Brian 17 AM R, ST Sassuolo 0.2 0.1 75 Canela 20 AM RL Nova Iguaçu 0.7 0.02 78 Madueke, Noni 18 AM RLC PSV 1.2 0.3 78 Gomes, Luís 16 AM RL Sporting 0.06 0.001 79 Hartmann, Fabrice 19 AM RL, ST RB Leipzig 1.3 0.05 81 Hasic, Ajdin 18 AM RC Besiktas 7.3 0.2 78 Rodríguez, Brian 20 AM RLC LAFC 15.5 3.6 80 Mbeumo, Bryan 20 AM RL, ST Brentford 20 5.7 89 Rodrygo 19 AM RL, ST R. Madrid 112 6 80 Tsitaishvili, Georgiy 19 AM RLC Dynamo Kyiv 2.6 0.4 79 Bajamich, Mateo 20 AM R, ST Houston 6.2 1.3 85 Elliott, Harvey 17 AM RL, ST Liverpool 12 5 84 Pino, Yéremi 17 AM RLC, F C Villarreal 3.2 0.1 76 Bamba, Mory 18 AM RL Roma 0.2 0.02 78 Llario, Carles 18 AM R, ST R. Madrid 0.3 0.009 83 Moro, Raúl 17 AM RC, F C Lazio 0.2 0.1 79 Matondo, Rabbi 19 AM RL Schalke 04 17.5 1.3 84 Nelson, Reiss 20 AM RL Arsenal 40 19.3 82 Artola, Juan 20 AM RL A. Bilbao 3.3 0.1 78 Gómez, Fran 18 AM RLC Córdoba 1.2 0.07 78 Fran Pérez 17 AM R Valencia 2.4 0.1 81 González, Hugo 17 AM RL Valencia 1.4 0.06 76 Persyn, Tibo 18 D/WB/AM R Inter 1.3 0.06 79 Correia, Félix 19 AM RLC Zebre 2.8 0.1 77 Blanco, Fabio 16 AM R Valencia 1.2 0.04 77 Ritchie-Hosler, Kane 17 AM R, ST Rangers 0.03 0.009 77 Aboukhlal, Zakaria 20 AM RL, ST AZ 2.3 1.2 77 Musaba, Anthony 19 AM RL AS Monaco 4.8 0.6 80 Tavares, Bruno 18 AM RL Sporting 2.7 0.07 80 Dembélé, Karamoko 17 AM R Celtic 0.8 1 79 Garré, Benjamín 20 AM RL Racing Club 2 0.7 78 Zito 18 AM RL Cagliari 7 0.6 78 Bobb, Oscar 17 AM RL Man City 0.1 0.04 77 Evjen, Håkon 20 AM RLC AZ 2 1.7 78 Oehlers, Aurelio 16 AM RL, ST FC Utrecht 0.09 0.04 75 Marvin 20 AM R R. Madrid 1.6 0.06 77 Dacal, Sergio 16 AM R S. Gijón 0.4 0.03 80 Efekele, Malamine 16 AM RL AS Monaco 0.06 0.03 87 Antony 20 AM RC, F C Ajax 13.7 6.8 78 Bayrakdar, Gokdeniz 18 AM RL Antalyaspor 1.5 1.1 79 Borges, Goncalo 19 AM RL FCP 1.6 0.13 77 Carvalho, Fábio 17 AM RC, F C Fulham 0.6 0.23 80 Gomes, Rodrigo 17 AM RL Braga 0.06 0.03 78 Gunther, Lasse 17 AM RL, ST FC Bayern 0.06 0.07 78 Harib Abdalla 17 AM R Shabab Al-Ahli 14.2 0.13 81 Kaminski, Jakub 18 WB R, AM RL Lech 0.4 0.09 81 Knight, Ben 18 AM RC Man City 5 0.1 89 Kulusevski, Dejan 20 AM RC Zebre 81.2 23.5 78 Sane, Sidi 17 AM RL Schalke 04 0.06 0.1 78 Sanyang, Mamin 17 D/WB/AM R FC Bayern 0.06 0.12
  FM21 Wonderkids Ofansif Ortasaha Oyuncuları
R Soyadı, Adı Yaş Pozisyon Kulüp Maaş (K) Piyasa Değeri (M) Uyruk 83 Roberto López 20 AM LC Real San Sebastián 8.3 1.1 79 Sousa, Afonso 20 AM LC Belenenses SAD 1.2 0.2 80 Taabouni, Mohamed 18 AM LC AZ 0.8 0.1 85 Demir, Yusuf 17 AM RC, F C SK Rapid Vienna 0.6 0.3 80 Hutchinson, Omari 16 AM RLC Arsenal 0.1 0.005 81 Bruno 17 AM C R. Madrid 0.5 0.01 80 Saranic, Ivan 17 AM RC Dinamo 0.1 0.01 81 Da Silva, Florent 17 AM C OL 0.5 0.05 80 Celi, Yuriel 18 AM LC Cantolao 0.9 0.05 81 Salas, Alejandro 17 AM C Valencia 1.4 0.05 81 Ihattaren, Mohamed 18 AM RLC PSV 4 3.5 90 Foden, Phil 20 AM RC Man City 30 34.5 77 Zarzana, Antonio 18 AM RLC Sevilla 0.4 0.01 77 Ait El Hadj, Anouar 18 AM RLC, F C Anderlecht 3.2 0.08 79 McAtee, James 17 AM/F C Man City 3 0.02 82 Lucas Lourenço 19 AM C SAN 2.8 0.6 78 Moyano, Antonio 20 AM C Córdoba 1.4 0.09 78 Palmer, Cole 18 AM LC Man City 5 0.3 75 Mbuku, Nathanaël 18 AM RC Reims 3 0.3 78 Sarmiento, Darío 17 AM LC Estudiantes (LP) 2.2 0.7 84 Gomes, Angel 19 AM RLC LOSC 20 7.9 80 Oristanio, Gaetano 17 AM C Inter 0.2 0.02 81 Rodríguez, Santiago 20 AM C Nacional 2.3 0.9 81 Zapelli, Bruno 18 AM C Belgrano 1.5 0.4 85 Baeza, Miguel 20 AM RLC Vigo 2.7 0.1 79 Hansen-Aarøen, Isak 15 AM C Man Utd 0.1 0.07 81 João Neto 17 AM C Famalicão 0.6 0.003 84 David, Jonathan 20 AM RLC, F C LOSC 31.9 7.9 78 Velebhayi, Asanele 17 AM C Cape Town Spurs 0.4 0.01 84 Palacios, Matías 18 AM C San Lorenzo 2.9 0.7 82 Samardzic, Lazar 18 AM LC RB Leipzig 3.6 0.4 78 Salcin, Djani 20 AM C Sarajevo 0.1 0.001 76 Vale, Harvey 16 AM RLC, F C Chelsea 0.1 0.02 79 Alesi, Gabriele 16 AM C Milan 0.2 0.003 77 Peart-Harris, Myles 17 AM C Chelsea 1 0.1 78 Maurício 19 AM C INT 0.4 0.3 80 Ruiz, Marcel 19 AM RC Tijuana 4.6 0.1 85 Díaz, Brahim 20 AM RLC R. Madrid 124 6.5 79 Palacios, Tiago 19 AM C Platense 0.8 0.3 86 Kubo, Takefusa 19 AM/F C R. Madrid 38.3 4.5 78 Abouchabaka, Elias 20 AM RLC Vit. Guimarães 2.7 0.1 75 Loader, Danny 19 AM RLC, F C FCP 18.2 0.2 77 Gharbi, Ismaël 16 AM C Paris SG 0.06 0.04 78 Miguel Silveira 17 AM RC FLU 0.6 0.05 76 Karabec, Adam 17 AM C Sparta Prague 0.2 0.03 79 Baena, Álex 19 AM RLC Villarreal 4.4 0.1 78 Larrubia, David 18 AM RLC Málaga 2.7 0.2 81 Félix, Hugo 16 AM C SLB 0.06 0.001 77 Guiagon, Parfait 19 AM RLC Maccabi Tel-Aviv 2.5 0.1 77 Goti, Mikel 18 AM LC A. Bilbao 1.2 0.04 79 Olise, Michael 18 AM LC Reading 2.5 2.9 84 Almada, Thiago 19 AM RLC, F C Vélez 4.4 2.2 81 Yankov, Dominik 20 AM C Ludogorets 1.4 0.09 90 Ünüvar, Naci 17 AM LC, F C Ajax 0.1 0.1 82 Morilla, Pelayo 19 AM LC S. Gijón 1.4 0.1 78 Mochrie, Chris 17 AM LC Dundee Utd 0.6 0.01 78 Wirtz, Florian 17 AM C Bayer 04 1.3 0.05 79 Holm, Odin Thiago 17 AM C Vålerenga 0.4 0.007 78 Melamed, Nico 19 AM/F C Espanyol 3.3 0.3 92 Pedri 17 AM RLC Barcelona 22.7 7.6 83 Nascimento, Diogo 17 AM C SLB 2.5 0.01 91 Félix, João 20 AM RLC, F C A. Madrid 164 37.4 79 Camará, Ronaldo 17 AM C SLB 2.7 0.1 79 Sousa, Bernardo 20 AM C Sporting 2 0.04 86 Reinier 18 AM C R. Madrid 9.2 1.1 78 Maldini, Daniel 18 AM RLC Milan 10.6 0.2 79 Kudus, Mohammed 19 AM C Ajax 5.1 4.6 78 Álex Cardero 17 AM C Oviedo 0.4 0.02 79 Navarro, Robert 18 AM RLC Real San Sebastián 1.4 0.06 79 Anjorin, Faustino 18 AM C Chelsea 12.5 0.5 80 Balagizi, James 16 AM/F C Liverpool 0.1 0.02 77 Aaronson, Brenden 19 AM C Philadelphia 1.4 1.3 81 Verschaeren, Yari 19 AM RLC Anderlecht 5.9 0.2 83 Tongya, Franco 18 AM RC Zebre 0.2 0.1 77 Rodri 20 AM C Real Hispalis 0.4 0.01 81 McNeill, Charlie 16 AM/F C Man Utd 0.1 0.02 80 Smallbone, Will 20 AM C Southampton 10 0.3 79 Smith Rowe, Emile 20 AM RLC Arsenal 10 12.9 85 Vieira, Fábio 20 AM LC FCP 4.6 1.6 79 Campaz, Jaminton 20 AM LC Deportes Tolima 4.7 0.5 78 Ouattara, Brahima 17 AM C RC Abidjan 0.1 0.1 83 Traoré, Hamed Junior 20 AM C Empoli 17.7 4.6 81 Nikolic, Veljko 20 AM C Red Star 0.8 0.1 80 Gelabert, César 19 AM RLC R. Madrid 3.3 0.1 76 Chakvetadze, Giorgi 20 AM LC AA Gent 11.4 0.8 78 Ivonei 18 AM C SAN 0.9 0.08 79 Baumgartner, Christoph 20 AM/F C Hoffenheim 7.7 0.8 81 Peglow 18 AM/F C INT 2.7 0.07 76 Ramsey, Aaron 17 AM C Aston Villa 0.1 0.02 80 Oroz, Aimar 18 AM LC Atlético Pamplona 0.3 0.01 82 Beyaz, Ömer 16 AM C Fenerbahçe 0.2 0.1 80 Millot, Enzo 18 AM RLC AS Monaco 6.6 0.1 78 Cubelic, Ivan 17 AM C Hajduk 0 0.007 78 Nygren, Benjamin 19 AM RLC, F C KRC Genk 6.8 0.5 83 Lee, Kang-In 19 AM RLC Valencia 18.9 6 80 Sforza, Juan 18 AM C Newell's 1.6 0.6 76 Brazão, Pedro 17 AM RC OGC Nice 0.5 0.02 78 Gboho, Yann 19 AM LC, F C Rennes 3.2 0.3 86 Reyna, Giovanni 17 AM LC Borussia Dortmund 15.3 1 81 Diop, Sofiane 20 AM RLC AS Monaco 6.1 1.6 77 Egloff, Lilian 17 AM RLC VfB Stuttgart 1 0.15 86 Ince, Burak 16 AM C Altinordu 0.1 0.34 82 Sieb, Armindo 17 AM/F C FC Bayern 0.06 0.13 77 Wening, Marcel 16 AM RLC FC Bayern 0.06 0.09
  FM21 Wonderkids Forvet Oyuncuları
R Soyadı, Adı Yaş Pozisyon Kulüp Maaş (K) Piyasa Değeri (M) Uyruk 90 Greenwood, Mason 18 AM R, ST Man Utd 25 30.1 84 Boadu, Myron 19 AM RL, ST AZ 9.3 7.7 87 Esposito, Sebastiano 18 ST Inter 3.2 0.5 83 Marcos Leonardo 17 AM L, ST SAN 0.3 0.2 86 Evanilson 20 AM L, ST FCP 18.1 5.5 82 Resende, João 17 ST SLB 1.3 0.007 78 Hlongwane, Bongokuhle 20 ST Maritzburg Utd 0.9 0.03 83 Salcedo, Eddie 18 AM LC, F C Inter 5.6 1.2 79 Postema, Romano 18 ST FC Groningen 1 0.2 84 Kaio Jorge 18 ST SAN 2.5 1.2 80 Cassidy, Ryan 19 ST Watford 0.7 0.1 79 Gutiérrez, Juan Manuel 18 ST Almería 2.7 0.2 80 Escobar, Jordi 18 AM L, ST Almería 17.5 0.1 76 Reischl, Luka 16 ST FC RB Salzburg 0.06 0.001 85 Carbonell, Luis 17 ST Zaragoza 0.3 0.01 81 Joveljic, Dejan 20 ST Eintracht Frankfurt 17.5 0.9 78 Kean, Moise 20 AM RL, ST Everton 50 9.1 81 Williams, Nico 18 ST A. Bilbao 1.2 0.04 78 Burkardt, Jonathan 20 AM RL, ST Mainz 05 4.1 0.6 80 Gomes, Lucas 17 ST FCP 1.3 0.003 83 Arezo, Matías 17 ST River Plate de Montevideo 0.8 1 76 Rossi, Leonardo 16 ST Milan 0.2 0.002 77 Vinícius Popó 19 ST CEC 0.3 0.04 78 Ovando, Lautaro 17 ST Argentinos Jrs. 1.8 0.8 79 Barisic, Bartol 17 ST Dinamo 0.2 0.01 80 Barasi, Yusuf 17 AM L, ST AZ 0.4 0.07 82 Gelhardt, Joe 18 AM/F C Leeds 5 0.4 84 Lázaro 18 AM LC, F C FLA 1.6 0.03 82 Lochereau-Pho, Yad 16 ST OL 0.06 0.05 78 Mollejo, Víctor 19 AM RL, ST A. Madrid 5.9 0.2 80 Sala 17 ST R. Madrid 0.5 0.01 83 Delap, Liam 17 ST Man City 5 0.3 77 Morton, Callum 20 AM L, ST West Brom 2 0.5 85 Silva, Fábio 18 ST Wolves 35 2.2 84 Brenner 20 ST SPO 4.5 1.2 84 João Pedro 18 AM RL, ST Watford 20 6.2 78 Kavanagh, Calum 16 AM LC, F C Middlesbrough 0.1 0.006 81 Badji, Youssouph 18 ST Club Brugge 2.7 2.6 84 Macías, José Juan 20 AM L, ST Chivas 10.4 0.5 80 Arp, Fiete 20 ST FC Bayern 87.8 0.4 85 Vlahovic, Dušan 20 ST Fiorentina 26 4.8 81 Akman, Ali 18 ST Bursaspor 0.2 2.7 80 García, Andrés 17 ST Valencia 1.4 0.05 76 Yuri Alberto 19 AM R, ST INT 6.3 0.2 77 Soonsup-Bell, Jude 16 ST Chelsea 0.1 0.01 78 Niño, Fernando 19 ST Villarreal 4.9 0.1 81 Garcés, Borja 20 ST A. Madrid 3.6 0.1 78 Rutter, Georginio 18 ST Rennes 0.5 0.05 76 Ovelar, Fernando 16 ST Cerro Porteño 0.06 0.2 81 Campana, Leonardo 20 ST Wolves 15 0.5 80 von Moos, Julian 19 AM RL, ST Basel 1.2 0.2 77 Glatzel, Paul 19 AM RLC, F C Liverpool 3 0.05 78 Koïta, Sékou 20 ST FC RB Salzburg 4.3 0.4 79 Sikan, Danylo 19 AM R, ST Shakhtar 1.8 0.3 81 Camello, Sergio 19 ST A. Madrid 1.2 0.04 79 Millico, Vincenzo 19 AM LC, F C Torino 6.5 0.8 79 Ubani, Wisdom 17 ST Giant Brillars 0.09 0.04 84 Ramos, Gonçalo 19 AM/F C SLB 4.1 0.4 83 Pellegri, Pietro 19 ST AS Monaco 17.8 0.7 79 Scarlett, Dane 16 ST Tottenham 0.1 0.1 78 Daramy, Mohamed 18 AM L, ST FC København 2.4 0.1 79 Geubbels, Willem 18 AM RL, ST AS Monaco 23.1 0.2 77 Vassi 19 AM R, ST Arouca 1.3 0.05 84 Parrott, Troy 18 ST Tottenham 10 5 83 Raspadori, Giacomo 20 AM LC, F C Sassuolo 3.2 1.2 78 Flores, Marcelo 16 AM RLC, F C Arsenal 0.1 0.007 79 Campbell, Tyrese 20 AM R, ST Stoke 7 0.6 85 Gnonto, Wilfried 16 AM/F C Zürich 0.2 0.03 78 Stewart, Layton 17 ST Liverpool 0.7 0.01 78 Balogun, Folarin 19 AM R, ST Arsenal 2 0.3 83 Sargent, Josh 20 ST SV Werder 12.3 0.4 80 Ali, Mohanad 20 ST Al-Duhail 18.6 1.3 75 Obafemi, Michael 20 AM R, ST Southampton 10 2.2 78 Brobbey, Brian 18 AM L, ST Ajax 0.7 0.1 78 Emegha, Emanuel 17 ST Sparta 0.5 0.1 73 Niangbo, Anderson 20 AM RL, ST AA Gent 11.4 0.5 77 Satriano, Martín 19 ST Inter 0.7 0.03 81 Adeyemi, Karim 18 AM R, ST FC RB Salzburg 7 1 78 Hornby, Fraser 20 AM/F C Reims 7.3 0.1 80 Camara, Abdoul Karim 16 ST Hoffenheim 0.06 0.02 80 Colombo, Lorenzo 18 ST Milan 10.6 0.2 78 Wamangituka, Silas 20 ST VfB Stuttgart 10.5 2.9 82 Brewster, Rhian 20 ST Sheff Utd 42.5 8.5 87 Isak, Alexander 20 ST Real San Sebastián 15.9 5.5 77 Semenyo, Antoine 20 AM RL, ST Bristol City 2.5 0.2 81 Mulattieri, Samuele 19 AM/F C Inter 1.1 0.08 79 Tedic, Slobodan 20 ST Man City 15 0.4 80 Buitink, Thomas 20 AM RL, ST Vitesse 1.6 0.8 77 Traoré, Lassina 19 ST Ajax 4.1 0.6 77 John-Jules, Tyreece 19 AM RL, ST Arsenal 5 0.5 78 Kassem, Anis 15 ST Tishreen 0.09 0.001 77 Appiah, Arvin 19 AM RL, ST Almería 7.3 0.1 76 Junior Adamu 19 AM RLC, F C FC RB Salzburg 1.3 0.1 86 Zirkzee, Joshua 19 ST FC Bayern 14 1.1 90 Haaland, Erling 20 ST Borussia Dortmund 140 56.9 81 Hansen, Sontje 18 AM RLC, F C Ajax 3.6 0.1 82 Toure, Djibril 17 AM RLC, F C CEFOMIG 0 0.02 78 Breitenbucher, Nick 17 AM RL, ST Hoffenheim 0.03 0.13 82 Chermiti, Youssel 16 ST Sporting 0.06 0 81 el Moussaoui, Ilyas 16 ST Feyenoord 0.09 0.14 82 Lochereau-Pho, Yad 16 ST OL 0.06 0.12 86 Musiala, Jamal 17 AM RLC, F C FC Bayern 0.8 0.18 78 Odubeko, Ademipo 17 ST West Ham 4 0.06 77 Thielmann, Jan 17 AM RC, F C 1. FC Koln 2.6 2.5
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opedguy · 4 years
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Ralph Lauren Steps Up Big for Covid-19
LOS ANGELES (Onlinecolumnist.com), March 26, 2020.--World famous closing designer 80-year-old Ralph Lauren stepped up big  donating $10 million to deal with the coronavirus pandemic. Putting his money where it counts, the Ralph Lauren Foundation made the whopping donation to help the World Health Organization’s [WHO] Covid-19 Solidarity Response Fund.  Lauren’s donation also goes to the Emergency Assistance Foundation for Ralph Lauren employees in need, including those laid off because of the crisis.  Lauren’s donation also goes to the Pink Pony Fund that supports the American Fashion Industry currently dealing with widespread shutdowns and layoffs. Donating 25,000 hospital gowns and 250,000 masks, Lauren hopes to help the chaotic situation in New York City hospitals where doctors and health care professionals lack the proper protective gear to perform their jobs without risking exposure to Covid-19.
            Starting his fashion design company in 1968, Lauren’s company grew into a multinational powerhouse, Ralph Lauren Corporation [RL] with a market capitalization of $5.48 billion, trading today a $74.32 a share. Forbe’s estimates Lauren’s net worth at $6.3 billion a drop in the bucket compared with high-profile billionaires like 64-year-old  Microsoft’s Bill Gates, 56-year-old Amazon’s Jeff Bezos or 35-year-old Facebook CEO Mark Zuckerberg.  Yet instead of giving cheap advice like Gates and Bezos, Lauren wrote a check to deal with New York’s medical emergency, not far from where he grew up as Ralph Lifshitz in the Bronx.  “At the head of our company, there has always been a spirit of togetherness that inspires our creativity, our confidence and most importantly out support for one another,” Lauren said, announcing his $10 million donation. Lauren set the tone for other American billionaires to step up.
            Speaking today billionaire Microsoft founder Bill Gates, took a different tack, countering 73-year-old President Donald Trump’s suggestions that parts of America could open back up for business by Easter, April 12.  Gates believes America needs an “extreme shutdown” to beat back the current Covid-19 epidemic that’s running rampant in New York City or near his corporate headquarters in Kirkland, Washington, also corporate headquarters for Costco, the nation’s biggest big-box discount chain.  “It’s very irresponsible for somebody to suggest we can have the best of both worlds,” Gates said on a Ted Talk March 25.  “What we need is an extreme shutdown so that in six to 10 weeks, if things go well, then you can start opening back up,” Gates said.  But unlike Lauren, Gates isn’t taking out his big checkbook.  Worth an estimated $96.3 billion, Gates has far more cash than Lauren.
            Like his friend Amazon CEO Jeff Bezos, Gates prefers to let others write the checks, while he touts Bill and Melinda Gates Foundation.   Founded in 2000, the Foundation has given away $36 billion, giving $4.3 billion in 2019.  But whatever Bill and Melinda have given with their Foundation, they’d haven’t stepped up in the coronavirus pandemic. “The sooner you do it in a tough way, the sooner you can undo it,” Gates said, alluding to China’s totalitarian approach to reversing the raging SARS CoV-2 epidemic in Wuhan, China.  Taking extreme measures, moving millions of Wuhan citizens out of the area and enforcing a strict quarantine, Gates thinks China did a spectacular job of containing the epidemic.  Gates has nothing back to say about China where he manufactures most of his products sold by Microsoft.  No, Gates takes a veiled swipe at the man in the White House.
            Gates reacted to Trump March 25 daily press briefing.  “The expression, ‘We can do two things at one time’ . . . and that included not just economics, that also includes life and death,” Trump said.  “We have to keep it that way,” hinting that the country needs to go back to work at the earliest possible time.  While Trump suggested he’d evaluate at Easter, April 12, he didn’t say he’d interfere with states’ “shelter in place” orders.  Gates would be far more helpful, like Lauren, if he cut a check to a foundation that specifically deals with the coronavirus epidemic. What irked Gates was Trump saying the U.S. “wasn’t built to be shut down.  This is not a country that was built for this,”  “America will again and soon be open for business.  Very soon.  A lot sooner than three or four months that somebody was suggesting,” Trump said, maybe referring to Gates who’s cautioned about returning to back to work..
            Gates pits himself directly against Trump, warning that there can be no compromise when it comes to “shelter in place” orders around the country.  “There is no middle ground and it’s very tough to say that to people,” Gates said, as if talking to the president.  Gates would have far more clout if he followed Ralph Lauren and made an appropriate donation to Covid-19 relief.  Lecturing the president about how he should do his job only raises more questions of how Gates could be worth $96.3 billion.  His friend Amazon CEO Jeff Bezos raised eyebrows when he asked Amazon customers to donate to an Amazon relief.  Even though Bezos paid his ex-wife MacKenzie Bezos $38 billion in a divorce settlement July 6, 2019, he’s still the richest man in the world at $119.6 billion.  Like Gates, Bezos doesn’t need donations, he’s well-equipped to write any size check for Covid-19 relief.
About the Author
John M. Curtis writes politically neutral commentary analyzing spin in national and global news. He’s editor of OnlineColumnist.com and author of Dodging The Bullet and Operation Charisma.
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developerloading616 · 3 years
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Soltek Driver Download
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Soltek Motherboard
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Soltek Mainboards drivers. 174 (72.68 MB) free drivers for 65 Soltek Mainboards. Please select your device to download drivers.
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kisan512posts · 4 years
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Magnetic Sensor -Market Demand, Growth, Opportunities and Analysis Of Top Key Player Forecast To 2025
Magnetic Sensor Industry
Description
Wiseguyreports.Com Adds “Magnetic Sensor -Market Demand, Growth, Opportunities and Analysis Of Top Key Player Forecast To 2023” To Its Research Database
Global Magnetic Sensors market is expected to reach $3.2 billion by 2022. Demand for high quality sensing performance, increasing use of magnetic sensors in the industrial sector, expanding applications in IT and Healthcare sectors, proliferation of smartphones and tablet devices are the factors driving the market growth. However, intense competition and declining average selling price are hindering the market.
Hall Effect magnetic sensors dominated the market share and are likely to maintain control over the forecast period. Automotive applications segment is likely to remain the primary application segment over the next seven years. Industrial applications segment is expected to witness major growth over the forecast period. Asia Pacific magnetic sensors market is estimated to observe significant growth over the forecast period and is estimated to grow at the highest CAGR during the forecast period.
Some of the key players in the market include Elmos Semiconductor AG, Baumer Ltd., Honeywell International, Inc., Robert Bosch GmbH, NVE Corporation, Allegro Microsystems, Inc., Infineon Technologies AG, Melexis Corporation, Austriamicrosystems AG (AMS), NXP Semiconductors, Rotary and Linear Motion Sensor (RLS), Alps Electric Co., Ltd., Microsemi, Magnetic Sensors Corporation, Memsic Corporation, Micronas Semiconductor Holding AG and iC-Haus.
Technology Covered: • Anisotropic Magneto-Resistive (AMR) magnetometer • Hall Effect • Giant Magneto Resistance (GMR) magnetometer • Other technologies
Request for Sample Report @ https://www.wiseguyreports.com/sample-request/456596-magnetic-sensor-global-market-outlook-2015-2022
Applications Covered: • Industrial • Robotics • Energy, Power and Utilities • Consumer electronics • Healthcare • Aerospace and Defense • Automotive • Other applications
Regions Covered: • North America o US o Canada o Mexico • Europe o Germany o France o Italy o UK o Spain o Rest of Europe • Asia Pacific o Japan o China o India o Australia o New Zealand o Rest of Asia Pacific • Rest of the World o Middle East o Brazil o Argentina o South Africa o Egypt
What our report offers:
- Market share assessments for the regional and country level segments - Market share analysis of the top industry players - Strategic recommendations for the new entrants - Market forecasts for a minimum of 7 years of all the mentioned segments, sub segments and the regional markets - Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations) - Strategic recommendations in key business segments based on the market estimations - Competitive landscaping mapping the key common trends - Company profiling with detailed strategies, financials, and recent developments - Supply chain trends mapping the latest technological advancements
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Table of Content
1 Executive Summary 2 Preface 2.1 Abstract 2.2 Stake Holders 2.3 Research Scope 2.4 Research Methodology 2.4.1 Data Mining 2.4.2 Data Analysis 2.4.3 Data Validation 2.4.4 Research Approach 2.5 Research Sources 2.5.1 Primary Research Sources 2.5.2 Secondary Research Sources 2.5.3 Assumptions 3 Market Trend Analysis 3.1 Introduction 3.2 Drivers 3.3 Restraints 3.4 Opportunities 3.5 Threats 3.6 Application Analysis 3.7 Technology Analysis 3.8 Emerging Markets 4 Porters Five Force Analysis 4.1 Bargaining power of suppliers 4.2 Bargaining power of buyers 4.3 Threat of substitutes 4.4 Threat of new entrants 4.5 Competitive rivalry
....
8 Key Developments 8.1 Agreements, Partnerships, Collaborations and Joint Ventures 8.2 Acquisitions & Mergers 8.3 New Product Launch 8.4 Expansions 8.5 Other Key Strategies 9 Company Profiling 9.1 Elmos Semiconductor AG 9.2 Baumer Ltd. 9.3 Honeywell International, Inc. 9.4 Robert Bosch GmbH 9.5 NVE Corporation 9.6 Allegro Microsystems, Inc. 9.7 Infineon Technologies AG 9.8 Melexis Corporation 9.9 Austriamicrosystems AG (AMS) 9.10 NXP Semiconductors 9.11 Rotary and Linear Motion Sensor (RLS) 9.12 Alps Electric Co., Ltd. 9.13 Microsemi 9.14 Magnetic Sensors Corporation 9.15 Memsic Corporation 9.16 Micronas Semiconductor Holding AG 9.17 iC-Haus
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Continued...                      
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khamgiodau · 6 years
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HẠ ĐƯỜNG HUYẾT SƠ SINH
PHÁC ĐỒ CHẨN ĐOÁN, ĐIỀU TRỊ HẠ ĐƯỜNG HUYẾT SƠ SINH
1. Đại cương:
- Tần suất :
8% sơ sinh đủ tháng
15% sơ sinh non tháng
- Hạ đường huyết khi đường huyết < 40 mg/dl ở bất cứ thời điểm nào
- Trong những giờ đầu sau sanh, trẻ bình thường không triệu chứng có thể có mức đường huyết 30 ml/d lthóang qua và
tự tăng lên hoặc tăng sau khi được cho bú.
- đường huyết thử bằng que (Dextrostix ) thường cao hơn đường huyết trong huyết tương khỏang 10%
2. Nguyên nhân:
* Hạ đường huyết thóang qua
- Kết hợp với RL chuyển hóa của mẹ:
+ Sử dụng Glucose
+ Dùng một số thuốc: Terbutaline, Propanolol, thuốc hạ đường huyết uống + Mẹ bị đái tháo đường
- Kết hợp với các vấn đề ở sơ sinh
+ Kém thích nghi + Chậm phát triển trong tử cung + Ngạt
+ Nhiễm trùng + Hạ thân nhiệt + Đa hồng cầu + Non tháng
+ Trẻ lớn cân so với tuổi thai + Cho bú trễ sau sanh + Ngưng đột ngột dịch truyền đường cao + Sau thay máu
* Hạ đường huyết kéo dài hay tái phát
+ tăng sản tế bào p tụy, u SX insulin, thiếu Receptor Sulfonylurea + HC Becwith-Weideman
+ Thiếu nội tiết tố: suy thượng thận, suy vùng dưới đồi, suy tuyến yên, thiếu glucagon, thiếu Epinephrine.
+ RL chuyển hóa bẩm sinh:
• Chuyển hóa đường: Galactosemie, bệnh tồn trữ Glycogen, bất dung nạp Fructose
• Chuyển hóa acid amin
• Chuyển hóa chất béo
3. Chẩn đóan:
3.1. Hỏi bệnh sử
- Tuổi thai
- Cân nặng lúc sinh
- Các yếu tố nguy cơ khác: ngạt, nhiễm trùng, thay máu...
- Tiền căn mẹ:
+ Đái tháo đường, bất dung nạp Glucose
+ Bất đồng nhóm máu
+ Tiền sản giật, Cao HA thai kỳ
+ Dùng thuốc
3.2. Khám tìm dấu hiệu và triệu chứng LS
- Triệu chứng LS không hằng định và không đặc hiệu: li bì, mền nhão, cơn ngưng thở, tím tái, khóc yếu hoặc
khóc thét cơn, co giật, hôn mê, bú kém, nôn ói, run chi, kích thích, đổ mồ hôi, hạ thân nhiệt...
- Các biểu hiện trên có thể trùng lắp với các biểu hiện nhiễm trùng, đặc biệt nhiễm trùng huyết, viêm màng
não. Nếu các triệu chứng vẫn tồn tại sau khi mức đường huyết về bình thường, cần phải tìm các nguyên nhân khác.
- Một số trẻ có thể không có triệu chứng, cần theo dõi đường huyết trong 1 - 2 giờ đầu sau sanh ở những trẻ có
nguy cơ hạ đường huyết.
3.3. Xác định chẩn đóan ha đường huyết có triêu chứng : khi đường huyết < 40 mg/dl ở thời điểm xuất hiện TCLS và TCLS cải
thiện nhanh sau khi tiêm mạch Glucose và điều chỉnh tình trạng hạ đường huyết.
3.4. Tiêu chuẩn nháp viên: Tất cả sơ sinh nghi ngờ hạ đường huyết phải được cho nhập viện để chẩn đóan xác định,
chẩn đóan nguyên nhân, và lọai trừ nhiễm trùng đi kèm nếu có.
3.5. Xét nghiệm:
- Dextrostix: cho kết qủa nhanh. Chi định khi có 1 trong các triệu chứng kể trên, hoặc có yếu tố nguy cơ.
- XN khác:
+ Đường máu tĩnh mạch
+ Phết máu ngọai biên: nguyên nhân nhiễm trùng, đa hồng cầu
+ XN tìm nguyên nhân nội tiết, chuyển hóa khi hạ đường huyết kéo dài không đáp ứng điều trị:
Insuline,
Cortisol. GH, TSH, T4, Glucagon, Lactate
4. Điều trị hạ đường huyết sơ sinh:
4.1. Nguyên tắc:
- Truyền glucose để đưa đường huyết về mức bình thường.
- Duy trì đường huyết > 45 mg/dl trong 24 giờ đầu sau sanh và > 50 mg/dl sau sinh 24 giờ.
- Cho ăn đường miệng càng sớm càng tốt, ngay từ giờ thứ 2 sau sinh nếu trẻ có thể dung nạp được.
- Nên cho trẻ bú sữa mẹ hơn cho uống nước đường vì nước đường sẽ gây hạ đường huyết 1 - 2 giờ sau đó do phản ứng dội
- Nếu trẻ không thể nuôi ăn qua đường tiêu hóa, cần tiến hành dinh dưỡng đường tĩnh mạch ngay để tránh hạ
đường huyết.
4.2. Ngưỡng đường huyết cần can thiêp điều trị:
- Đường huyết không tăng sau khi cho bú hoặc giảm trở lại ở trẻ đủ tháng khỏe mạnh.
- Đường huyết < 45 mg/dl + có triệu chứng lâm sàng
- Đường huyết < 36 mg/dl ở trẻ có nguy cơ nhưng không có t/c lâm sàng.
- Đường huyết < 25 mg/dl ở bất cứ trẻ nào
4.3. Điều trị:
* Dextrostix < 25 mg/dl hoặc hạ đường huyết có triệu chứng lâm sàng
- Lấy máu tĩnh mạch thử đường huyết
- Glucose 10% 2 ml/kg TMC 2 - 3phút
- Truyền Glucose 10% tốc độ 6 - 8 mg/kg/ph ( 3 - 5ml/Kg/giờ )
- Thử lại Dextrostix sau 1 giờ:
+ Nếu dextrostix < 40 mg/dl → Tăng dần tốc độ glucose mỗi 2 mg/kg/phút cho đến khi đạt
được
ngưỡng đường huyết mong muốn ( > 50 mg/dl). Theo dõi dextrostix mỗi 1 - 2 giờ cho đến khi
> 40 mg/dl. Tốc độ glucose tối đa < 16 - 20 mg/kg/phút.
+ Nếu Dextrostix > 40 mg/dl → tiếp tục truyền glucose theo tốc độ đang truyền. Theo dõi dextrostix mỗi 4 - 6 giờ. Cho ăn sớm.
- Nếu cần truyền glucose > 12 mg/kg/phút để duy trì đường huyết > 50 mg/dl → dùng Hemisuccinate Hydrocortisone 10mg/kg/ngày chia 2 lần TMC , hoặc uống Prednisone 2 mg/kg/ngày.
- Glucagon : chỉ dùng trường hợp cấp cứu khi chưa thiết lập được đường truyền TM, cho trẻ có dự trữ glycogen
tốt. Liều 0,025 - 0,3 mg/kg ( tối đa 1mg).
* Dextrostix > 25 mg/dl và hạ đường huyết không triệu chứng LS
- Lấy máu TM thử đường huyết
- Cho ăn qua đường miệng ngay nếu có thể : bú mẹ hoặc cho ăn qua sonde dạ dày
- Thử lại dextrostix sau khi cho ăn qua đường tiêu hóa 1 giờ :
+ Nếu dextrostix < 40 mg/dl → truyền Glucose 10% tốc độ 6 - 8 mg/kg/phút. Tăng dần tốc độ glucose
mỗi 2 mg/kg/phút cho đến khi đạt được ngưỡng đường huyết mong muốn ( > 50mg/dl). Theo dõi
dextrostix mỗi 4 - 6 giờ cho đến khi dextrostix > 40 mg/dl.
+ Nếu dextrostix > 40 mg/dl và không t/c LS → tiếp tục nuôi ăn qua đường tiêu hóa. Theo dõi dextrostix trước cữ bú tiếp theo.
Lưu ý : Nồng độ glucose truyền ở TM ngọai biên < 12% , TM trung ương < 25%
5. Dự phòng hạ đường huyết:
- Cho bú mẹ sớm trong vòng 1 giờ sau sanh
- Dinh dưỡng đúng
- Kiểm tra đường huyết những sơ sinh có nguy cơ : theo dõi đường huyết trong 1- 2 giờ đầu sau sanh.
Công thức tính nồng độ và tốc độ đường :
Cách điều chỉnh tốc độ glucose :
- Dung dịch có nồng độ Glucose 10%
Số ml/giờ = K x 0,6 x CN
- Dung dịch có nồng độ Glucose 12%
Số ml/giờ = K x 0,5 x CN
Cách tăng nồng độ glucose trong dịch truyến từ 10% lên 12%
Dịch truyền có nồng độ glucose 10% còn V ml
Thêm vào dịch pha này V / 9 ml Dextrose 30% sẽ có dịch pha nồng độ glucose 12%
.Bài viếtHẠ ĐƯỜNG HUYẾT SƠ SINH xuất hiện lần đầu tại website http://khamgiodau.com
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