Constructive 3D Visualization techniques on Mobile platform- Empirical Analysis

As per the concept of 3D visualization on mobile devices it is clear that it belongs to two approaches i.e. local and remote approach. According to the technological advances in mobile devices it is possible to handle some complex data locally and visualized it. But still it is a challenging task to manage real entities on mobile devices locally. Remote visualization plays a vital role for 3D visualization on mobile platform in which data comes from server. Remote approach for 3D visualization on mobile platform consist of various techniques, critical analysis of such techniques is focus into this paper. Also the main focus is on network aspects

Analysis of Information Visualization Techniques for Abstract data on Mobile Devices

To perform visualization on mobile devices different types of data may use like text, picture, maps, physical objects, abstract data etc. According to data visualization is categorized in two areas of visualization that is, scientific visualization and information visualization. Scientific visualization refers to some specific type of data like physical data and it is used for computer modeling and simulation. Information visualization refers to abstract data and used in business and finance, administration, digital media and other abstract concepts. The physical and abstract data is only one classification but there are others classification like static and dynamic data, structured and unstructured data, or hierarchical and non-hierarchical data classification. This paper is focus on information visualization of abstract data on mobile devices

TECHNICAL ANALYSIS OF REMOTE 3D VISUALIZATION ON MOBILE DEVICES

ABSTRAC

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Not AvailableMale infertility is one of the prime concerns of dairy cattle production. The study was designed to find out differentially expressed proteins in categorized crossbred (Holstein Friesian × Sahiwal) bull semen to serve as potential biomarkers for male infertility. Frozen crossbred bull semen with satisfactory phenotypic records were defined as "good" and "poor" based on their fertility rates. A total of 1,547 proteins were detected in bull spermatozoa using liquid chromatography-mass spectrometer (LC-MS/MS) analysis. Results revealed that 558 (36.1%) and 653 (42.2%) proteins were expressed to good and poor quality bull spermatozoa, respectively. A total of 336 proteins (21.7%) were reported to be unique for both good and poor quality bull semen, and among the common proteins, 224 (66.7%) and 112 (33.3%) were up- and downregulated in good and poor quality categorized bull semen, respectively. Gene Ontology analysis of global proteomes identified different signalling pathways, and most of them were related to cellular motility, immune systems as well as cellular metabolisms. The distinctive presence of some of the proteins may provide an insight into the molecular mechanistic role played by these proteins in crossbred bull infertility.Not Availabl

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Not AvailableMale infertility is one of the prime concerns of dairy cattle production. The study was designed to find out differentially expressed proteins in categorized crossbred (Holstein Friesian × Sahiwal) bull semen to serve as potential biomarkers for male in- fertility. Frozen crossbred bull semen with satisfactory phenotypic records were de- fined as “good” and “poor” based on their fertility rates. A total of 1,547 proteins were detected in bull spermatozoa using liquid chromatography–mass spectrometer (LC- MS/MS) analysis. Results revealed that 558 (36.1%) and 653 (42.2%) proteins were expressed to good and poor quality bull spermatozoa, respectively. A total of 336 proteins (21.7%) were reported to be unique for both good and poor quality bull semen, and among the common proteins, 224 (66.7%) and 112 (33.3%) were up- and downregulated in good and poor quality categorized bull semen, respectively. Gene Ontology analysis of global proteomes identified different signalling pathways, and most of them were related to cellular motility, immune systems as well as cellular me- tabolisms. The distinctive presence of some of the proteins may provide an insight into the molecular mechanistic role played by these proteins in crossbred bull infertilitySERB ,GO

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Not AvailableBull spermatozoa contain different functional genes and many of them plays important roles in different stages of spermatogenesis, spermatozoa kinetics, fertilization as well as embryonic development. RNA deep sequencing is one of the preferred tools for absolute quantification of messenger RNA. The intention of the current study was to investigate the abundance of spermatozoal transcripts in categorized Frieswal (Holstein-Friesian X Sahiwal) crossbred bull semen through RNA deep sequencing. A total 1546561 and 1019308 numbers of reads were identified among good and poor quality bull spermatozoa based on their conception rate. Post mapping with Bos taurus reference genome identified 1,321,236 and 842,022 number of transcripts among good and poor quality RNA libraries, respectively. However, a total number of 3510 and 6759 functional transcripts were identified among good and poor quality bull spermatozoa, respectively. Most of the identified transcripts were related to spermatozoa functions, embryonic development and other functional aspects of fertilization. Wet laboratory validation of the top five selected transcripts (AKAP4, PRM1, ATP2B4, TRIM71 and SLC9B2) illustrated the significant (p < 0.01) level of expression in the good quality crossbred bull semen than the poor quality counterparts. The present study with comprehensive profiling of spermatozoal transcripts provides a useful non-invasive tool to understand the causes of as well as an effective way to predict male infertility in crossbred bulls.Science and Engineering Research Board, Government of Indi

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Not AvailableBull spermatozoa contain different functional genes and many of them plays important roles in differentstages of spermatogenesis, spermatozoa kinetics, fertilization as well as embryonic development. RNAdeep sequencing is one of the preferred tools for absolute quantification of messenger RNA. The intentionof the current study was to investigate the abundance of spermatozoal transcripts in categorized Frieswal(Holstein-Friesian X Sahiwal) crossbred bull semen through RNA deep sequencing. A total 1546561 and1019308 numbers of reads were identified among good and poor quality bull spermatozoa based on theirconception rate. Post mapping withBos taurusreference genome identified 1,321,236 and 842,022number of transcripts among good and poor quality RNA libraries, respectively. However, a total numberof 3510 and 6759 functional transcripts were identified among good and poor quality bull spermatozoa,respectively. Most of the identified transcripts were related to spermatozoa functions, embryonicdevelopment and other functional aspects of fertilization. Wet laboratory validation of the topfiveselected transcripts (AKAP4, PRM1, ATP2B4, TRIM71 and SLC9B2) illustrated the significant (p<0.01)level of expression in the good quality crossbred bull semen than the poor quality counterparts. Thepresent study with comprehensive profiling of spermatozoal transcripts provides a useful non-invasivetool to understand the causes of as well as an effective way to predict male infertility in crossbred bullsScience and Engineering Research Boar