tăng sắc tố da

... Tăng sắc tố da (Hyperpigmentation) Khái niệm: Tăng sắc tố da là một tình trạng một vùng da hoặc móng đen hơn do sự tập trung nhiều một cách bất thường sắc tố da. Các nguyên nhân ... nám da (Melasma hay chloasma) – là một rối loạn tăng sắc tố lành tính thường gặp, không có căn nguyên rõ ràng. Bệnh thường hay gặp nhất ở phụ nữ mang thai, với những rối loạn tăng sắc tố vùng ... Xăm chấn thương là tình trạng da tăng sắc tố sau chấn thương. ( hay gặp bệnh nhân bị tai nạn giao thông vùng Quảng Ninh) Điều trị Điều trị các tình trạng tăng sắc tố bao gồm ...

... nhang có số lượng tế bào sắc tố bình thường nhưng sản xuất ra quá nhiều sắc tố. Theo hiểu biết hiện nay thì thấy một số vết tàn nhang lại tăng số lượng tế bào sắc tố. Ở người trưởng thành ... thuốc bôi tretinoin 0,1%, mỗi tối 1 lần trong vòng 6 -10 tháng. Dày sừng da mỡ Dày sừng da mỡ là sự quá sản của lớp thượng bì da một cách lành tính. Vùng dày sừng da mỡ thường có màu be đến ... lồ có nguy cơ phát triển thành ung thư sắc tố lớn cũng nên phẫu thuật cắt bỏ sớm. Bớt loạn sản Làm sao biết sắc tố da lành hay ác tính? Một làn da mịn màng, không tỳ vết là mơ ước của nhiều...

... Tăng sắc tố Becker - Bệnh thường gặp khi tiếp xúc nhiều với nắng Da bình thường (ảnh trên) và da tăng sắc tố. Bệnh tăng sắc tố Becker thường gặp ở độ tuổi ... hơi dày và gấp nếp. Lông tăng sinh, to và đậm hơn sau sự tăng sắc tố. Rậm lông đôi khi khó nhận ra và chỉ khi so sánh với bên đối diện. Mức độ rậm lông và tăng sắc tố đôi khi không tương ứng ... tăng thành phần melanin tại tế bào sừng thượng bì và thường thấy sau khi tiếp xúc nhiều với ánh nắng gây hậu quả bỏng nắng. Bệnh tăng sắc tố Becker dễ nhầm với bệnh gì? Bệnh tăng sắc tố...

... của các yếu tố về phía cung (các yếu tố đầu vào) đến tốc độ tăng trưởng kinh tế - tăng trưởng GDP tại thành phố Đà Nẵng giai đoạn 1976 - 2006 I. PHÁT BIỂU VẤN ĐỀ: Trước hết, tăng trưởng ... xuất. Như vậy các nhân tố sau sẽ tác động đến tốc độ tăng GDP: (1). Tư bản K tăng cùng với đầu tư I (I phụ thuộc vào tiết kiệm.) (2). Lao động L (L phụ thuộc vào: tốc độ tăng dân số (sinh, chết, ... độ tăng trưởng từ 7-7.5% năm như hiện nay thì sau 10 năm nữa quy mô GDP sẽ tăng gấp đôi theo quy tắc 70. Thứ hai, tăng trưởng cho phép giải quyết các vấn đề xã hội. Với việc duy trì tốc độ tăng...

... tốc độ tăng trưởng đạt mức tiềm năng và cải thiện chất lượng tăng trưởng, cần phải khổ công tạo ra và củng cố những "cơ sở" tăng trưởng. Điều này có nghĩa nền kinh tế đạt tốc độ tăng ... đẩy tăng trưởng kinh tế thông qua tối đa hoá tích luỹ vốn theo định hướng của chính phủ. Tốc độ tăng tỷ lệ vốn-lao động ở Liên Xô cao hơn nhiều so với các nền kinh tế thị trường, tốc độ tăng ... Nếu tính cả sự đóng góp của yếu tố số lượng vốn đầu tư và sự đóng góp của yếu tố số lượng lao động, thì hai yếu tố này đã đóng góp trên ba phần tư tổng tốc độ tăng trưởng kinh tế của Nguồn:...

... rộng tính trên đầu người, và sự gia tăng về quy mô và tốc độ GDP tính trên đầu người sẽ phản ánh sự tăng trưởng kinh tế chính xác hơn. Các nhân tố quyết định tăng trưởng kinh tế về phía cung: Cho ... những kiến thức về tăng trưởng kinh tế, qua đó cũng xem xét vai trò của các nhân tố quan trọng tới tăng trưởng kinh tế, đó là dân số, công nghệ, chính sách,…và một nhân tố quan trọng nhất là ... này, nhóm chúng tôi đã chọn đề tài sau: Nghiên cứu sự ảnh hưởng của yếu tố vốn đầu tư đến tốc độ tăng trưởng kinh tế - tăng trưởng GDP tại thành phố Đà Nẵng giai đoạn 1986-2010 II. CƠ SỞ LÝ...

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...

... cac moi tnrong nitric, tricloaxetic da diroc nghien ciiu trong cac cong trinh [1, 2]. Gan day co che chiet va thanh phan cua phirc chat triphenylphosphin oxit-ytri da diroc nghien cuu [4]. Trong bai bao nay, chung toi ... oxidcl l- ethylhexyl 2-ethylhexyl phosphonic acid ratio on the S, has been reported. I-M6DAU Chiet cac nguyen to dat hiem (NTDH) bang cac tac nhan tributylphotphat (TBP), triizoamyl- photphat (TiAP), ... 2-ETYL HEXYL PHOTPHONIC (PC88A) TIl DUNG D!CH AXIT NITRIC De" rca soan 29-8-2007 LutJ MINI! DAI, DAo NGQC NHIEM, PHAM NGQC CHUC V i{1l Khoa III?t va C6ng ngh¢ ViN Nam SUMMARY The extraction of rare...

... có thể nhận thấy trong phạm vi nồng độ đ6ợc khảo sát của axit nitric, hệ số tăng c6ờng chiết của NTĐH tăng khi tăng nồng độ axit cân bằng. Để thuận tiện chúng tôi chọn nồng độ [H + ] cb ... Kết quả cho thấy hệ số S k xuất hiện ở tất cả NTĐH nhẹ vN khi tăng [H + ] thì S k tăng theo. 2. Đ8 tiến hNnh khảo sát hệ số tăng c6ờng chiết S k của La, Pr, Nd, Sm, Eu của hệ (40%TBP + 40%PC88A) ... TBP/PC88A ảnh h6ởng đến hiệu ứng tăng c6ờng chiết khá mạnh. Hiệu ứng c6ờng chiết cực đại khi tỷ lệ TBP/PC88A đạt 1 : 1. Các NTĐH nhẹ cuối d8y có hiệu ứng tăng c6ờng chiết nhỏ hơn các NTĐH...

... Kết quả cho thấy hệ số S k xuất hiện ở tất cả NTĐH nhẹ vN khi tăng [H + ] thì S k tăng theo. 2. Đ8 tiến hNnh khảo sát hệ số tăng c6ờng chiết S k của La, Pr, Nd, Sm, Eu của hệ (40%TBP + 40%PC88A) ... có thể nhận thấy trong phạm vi nồng độ đ6ợc khảo sát của axit nitric, hệ số tăng c6ờng chiết của NTĐH tăng khi tăng nồng độ axit cân bằng. Để thuận tiện chúng tôi chọn nồng độ [H + ] cb ... dải hấp thụ vùng 2900 cm -1 , các dải hấp thụ nNy thuộc dao động hóa trị của các nhóm CH 3 , CH 2 . Dải hấp thụ ở 1657 cm -1 ứng với dao động biến dạng của nhóm OH. Dải hấp thụ ở 1196 cm -1 ...

... Tăng tốc website với CDN – một yếu tố đánh giá thứ hạng website tĩnh từ web server chính chạy web sang các CDN đã giúp cho website của họ có tốc độ nhanh hơn 20%. ... nhận tốc độ load của website sẽ là một tiêu chí đánh giá thứ hạng trên bộ máy tìm kiếm Google năm 2010. Theo đó, một website có tốc độ load nhanh sẽ được ưu tiên hơn so với những trang có tốc ... website có tốc độ load nhanh sẽ được ưu tiên hơn so với những trang có tốc độ load rùa bò – một yếu tố trong SEO CDN là thuật ngữ viết tắt của Content Delivery Network. Chúng ta có thể hiểu CDN...

... 8 REE concentration (ppm) 0 100 200 300 400 600 800 1000 1200 Mycelia Growth (mm/day) 4.2 4.9 5.2 3.7 3.4 1.9 1.3 0.9 Dead mycelia Weight of fresh fruitbody (g) 119 ... GROWTH LE MINH TUAN, NGUYEN THI CHINH, NGUYEN TRONG UYEN, NGUYEN DINH BANG ABSTRACT Today, the use of rare earth elements (REE) as trace nutrients in agriculture including plants and ... earth applications and various concentrations, mostly low ones, have thereby been investigated. To date, yield increases for 50 plant species of trees and pasture grasses have been reported [1,3]....