This paper describe the morphing concept in which we convert the voice of any person into pre -analyzed or pre-recorded voice of any animals.As the user generate a pre-established voice, his pitch, timbre, vibrato and articulation can be modified to resemble those of a pre-recorded and pre-analyzed voice of animal. This technique is based on SMS. Thus using this concept we can develop many funny application and we can used this type of application in mobile device, personal computer etc. for enjoying the sometime of period.
Laura Baddish, CEO of the Baddish Group, shares information about how the best marketing experts can leverage best practices to get food and beverage brands to the forefront.
The More Networks We Analyze, The Better It Gets - PechaKucha Amsterdam Prese...Kenedict
Video here: https://www.youtube.com/watch?v=_BsRXjuZaTI&feature=youtu.be&t=2200
Presentation held at PechaKucha Amsterdam on April 22, 2015. Focuses on the application of Network Analytics in an innovation context, including examples relating to Apple's evolving technology network and the Dutch technology landscape.
This paper describe the morphing concept in which we convert the voice of any person into pre -analyzed or pre-recorded voice of any animals.As the user generate a pre-established voice, his pitch, timbre, vibrato and articulation can be modified to resemble those of a pre-recorded and pre-analyzed voice of animal. This technique is based on SMS. Thus using this concept we can develop many funny application and we can used this type of application in mobile device, personal computer etc. for enjoying the sometime of period.
Laura Baddish, CEO of the Baddish Group, shares information about how the best marketing experts can leverage best practices to get food and beverage brands to the forefront.
The More Networks We Analyze, The Better It Gets - PechaKucha Amsterdam Prese...Kenedict
Video here: https://www.youtube.com/watch?v=_BsRXjuZaTI&feature=youtu.be&t=2200
Presentation held at PechaKucha Amsterdam on April 22, 2015. Focuses on the application of Network Analytics in an innovation context, including examples relating to Apple's evolving technology network and the Dutch technology landscape.
1. MASNE KISJELINE
Masne kisjeline su najvazniji sastojci slozenih lipida.
VISEMASNE KISJELINE
Glavne zasicene i nezasicene masne kisjeline u lipidima su:
-palmitinska 16 C atoma CH3(CH2)14COOH
-stearinska 18 C atoma CH3(CH2)16COOH
NEZASICENE MASNE KISJELINE
-oleinska CH3(CH2)7CH=CH(CH2)7COOH
-linolna 18 C atoma , (9,12, dvostruka veza) CH3(CH2)4CH=CHCH2CH=CH(CH2)7COOH
-linoleinska 18 C atoma , (9,12,15 dvostruka veza)
CH3CH2CH=CHCH2CH=CHCH2CH=CH(CH2)7COOH
Nezasicenih masnih kisjelina ima u biljakma.Sisari ne mogu sintetizovati
nezasicene masne kisjeline sa 2 ili vise dvostrukih veza.Ove se kisjeline
moraju unositi hranom i nazivaju se esencijalne masne kisjeline.Esencijalne
masne kisjeline(mogu se sintetizovati u organizmu) su polazni proizvodi
neophodnni za razne sinteze.
Arahidonska kisjelina je polazni proizvod za sintezu prostagladina.
FIZICKE I HEMIJSKE OSOBINE MASNIH KISJELINA
Masne kisjeline su : - slabe kisjeline
-grade soli I estre
-nezasicene kisjeline daju karak . reakcije ,adiraju Br i H
-rastvaraju s u alkalijama ,gradeci sapune
