UTERINE ARTERIOVENOUS MALFORMATION TRANSVAGINAL DOPPLER ULTRASONOGRAPHY: CASE REPORT

Uterine arteriovenous malformation (AVM) is a rare condition, with fewer than 100 cases reported in the literature. Despite it being rare, it is a potentially life-threatening condition. This case report describes a healthy 29-year-old patient, nulligravida, with an unremarkable medical history, came from gynaecologist for ultrasaound due to complain of irregular heavy PV bleeding. Transvaginal Doppler ultrasonography is a widely available, noninvasive and excellent diagnostic method. Transvaginal ultrasound (TVS) of the pelvis showed increased vascularity with multidirectional flow of the uterus and a prominent vessel, located on the posterior wall.KEYWORDS: Arteriovenous malformation; Primary infertility; Transvaginal ultrasound

UTERINE ARTERIOVENOUS MALFORMATION TRANSVAGINAL DOPPLER ULTRASONOGRAPHY: CASE REPORT

Uterine arteriovenous malformation (AVM) is a rare condition, with fewer than 100 cases reported in the literature. Despite it being rare, it is a potentially life-threatening condition. This case report describes a healthy 29-year-old patient, nulligravida, with an unremarkable medical history, came from gynaecologist for ultrasaound due to complain of irregular heavy PV bleeding. Transvaginal Doppler ultrasonography is a widely available, noninvasive and excellent diagnostic method. Transvaginal ultrasound (TVS) of the pelvis showed increased vascularity with multidirectional flow of the uterus and a prominent vessel, located on the posterior wall.KEYWORDS: Arteriovenous malformation; Primary infertility; Transvaginal ultrasound

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Not AvailableGenotype selection and recommendations are influenced by genotype x environment interactions (GEI). Identification of stable and high yielding cultivars is the main objective of the multi-environment data analysis. The objective of this study was to analyze rank correlations among ANOVA, Eberhart and Russell and biplot analyses in ranking of genotypes for yield, stability and yield-stability. The study included 16 forage sorghum genotypes evaluated at 14 environments across two years. The results showed significant effects due to environments, genotypes and GEI, suggesting differential response of genotypes. Environment (E) main effects accounted for >80% of the variation, compared to <20% for genotype (G) and GEI effects together. For yield rankings, all the three methods are positively and significantly correlated, while for stability ranking, ER and biplot analysis had positive significant correlation, indicating that both methods have identified the same genotypes for stability. GGE biplot has the advantage of identifying megaenvironments and the genotypes for each mega-environment.Not Availabl

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Not AvailableForage sorghum is an important component of the fodder supply chain in the arid and semi-arid regions of the world because of its high productivity, ability to utilize water efficiently and adaptability to a wide range of climatic conditions. Identification of high-yielding stable genotypes (G) across environments (E) is challenging becauseofthecomplexG×Einteractions(GEI).Inthepresentstudy,theperformanceof16foragesorghumgenotypes over seven locations across the rainy seasons of 2010 and 2011 was investigated using GGE biplot analysis. AnalysisofvariancerevealedtheexistenceofsignificantGEIforfodderyieldandalleightassociatedphenotypic traits.Locationaccountedforahigherproportionofthevariation(0·72–0·91),whilegenotypecontributedonly0·06– 0·21 oftotal variation indifferenttraits.Genotype-by-locationinteractionscontributed0·02–0·13oftotalvariation. Promisinggenotypesforfodderyieldandeachoftheassociatedtraitscouldbeidentifiedeffectivelyusingagraphical biplot approach. The majority of testlocations were highly correlated. A ‘Which-won-where’ study partitioned the testlocations into two mega-environments (MEs): ME1 was represented by five locations with COFS 29 as the best genotype, while ME2 had two locations with S 541 as the best genotype. The existence of two MEs suggested a need for location-specific breeding. Genotype-by-trait biplots indicated that improvement for forage yield could beachievedthrough indirect selectionfor plantheight, leafnumber andearlyvigour.Not Availabl

Polymer nanocomposites with decorated metal oxides

This chapter represents an overview of polymer nanocomposites containing functional metal oxide nanoparticles as inorganic fillers. Metal oxide/polymer nanocomposites have received considerable attention as they are used in a wide range of applications in various fields including optoelectronic devices, biomedical applications, electromagnetic devices, optics, food packaging, photocatalysis, and many others. The desired properties of the nanocomposites could only be achieved with the good dispersion of nanostructures in the polymer matrix, which is difficult to achieve due to their specific surface area and volume effect. The surface engineered metal oxide nanoparticles overcome the aggregation problem providing improved interfacial interaction between the nanoparticles and the polymer matrix. Synthesis, surface functionalization, and nanocomposites of the metal oxide nanostructures as well as the properties and potential applications of the nanocomposites will be discussed this chapter