Riveramontoya2129

Whereas, subsequent bulk-protein adsorption onto the hard-corona is entropically driven, leading into flocculation of the complex. The flocs appear as amorphous mesh-like morphology in TEM micrographs, as opposed to the typical fibrils formed by the wild-type protein. Interestingly, α-synuclein in complex with ZnONP shows significantly lowered cytotoxicity against the IMR32 and THP-1 cells in-vitro, as compared to fresh α-synuclein. The synthesis of carbamoylethyl locust bean gum (CLBG) was optimized using Plackett-Burman design. The generated model showed high significance (p  less then  0.05) to all the response variables which justifies the authenticity of the designed model. The optimal conditions i.e. acrylamide (5.12 mM), sodium hydroxide (3.00 mM), reaction temperature (50.97 °C) and reaction time (2.00 h) supported maximum -CONH2 content (5.44%), -COOH content (3.04%), degree of substitution (0.85) and product yield (7.25%, w/w). Carbamoylethylation of locust bean gum (LBG) involved substitution of its hydroxyl (-OH) moieties with amide group (-CH2CH2CONH2). FTIR and NMR spectroscopy confirmed the addition of amide group to CLBG. Scanning electron microscopy assured the slight rough surface of CLBG particles. Differential scanning calorimetry showed that carbamoylethylation of LBG lowered its melting temperature range (205.60-272.45 °C). However, the amorphous nature, non-Newtonian flow and shear-thinning behaviour of pure LBG were retained in CLBG. Further, CLBG films prepared with glycerol (1%, w/w, plasticizer) showed partially smooth surface and have clear transversal cross-sections. CLBG-glycerol films were highly water resistant and almost transparent. Further, CLBG-glycerol films showed good tensile strength (18.55 ± 0.02 MPa) and higher percentage elongation (6.11 ± 0.01%). Water vapor transmission rate of CLBG-glycerol film was quite lower (0.211 ± 0.001 g.mm/h.m2.kPa) which verified its higher resistance towards water. In this work thin film made from the mixture of collagen, hyaluronic acid and chitosan were obtained during solvent evaporation method. The mixtures of biopolymers were modified by dialdehyde starch, which was used as a crosslinking agent. The influence of crosslinking agent on the physico-chemical properties of polymeric matrices was evaluated. The interactions between functional groups of polymers were evaluated by Fourier transform infrared spectroscopy for both unmodified and modified samples. Mechanical properties of film were tested in dry condition using a mechanical testing machine. Morphology of the surface was studied by Atomic Force Microscopy and the roughness parameters were analyzed. Moreover, surface free energy and its polar and dispersive components were evaluated by contact angle measurements. It was found that the addition of dialdehyde starch modified all tested parameters of the studied films. Samples became less elastic and more resist for rupture. Moreover, samples became less rough after crosslinking process and surface free energy increased. Thin film made from the mixture of collagen, hyaluronic acid and chitosan crosslinked with dialdehyde starch can be applied in medicine and in cosmetics. Symptom awareness may improve cancer outcomes by prompting timely help-seeking and diagnosis. Research in the UK has shown lower symptom awareness among sociodemographic groups at higher risk of poor cancer outcomes; however, no population-based surveys in the US have assessed whether cancer symptom awareness varies across sociodemographic groups. We therefore examined associations between sociodemographic factors and recognition of 11 cancer symptoms using a novel population-based survey of US adults. We conducted telephone interviews in 2014 with a population-representative sample of English-speaking adults (aged 50 and older) in the US (N = 1425) using an adapted Awareness and Beliefs about Cancer (ABC) survey. β-Sitosterol cost Socioeconomic status (SES) was indexed by education. Additional sociodemographic factors included gender, age, marital status, and race. We used multivariable logistic regression models to examine the association between sociodemographic factors and recognition of each symptom, adjusting for cancer experience. Participants recognized an average of 8.43 symptoms as potential signs of cancer. In multivariable analyses, less education consistently predicted lower recognition across the symptoms. As socioeconomic inequalities in cancer mortality widen, it is increasingly important to understand factors that may contribute to these disparities. Our results suggest that US adults of lower SES have lower cancer symptom awareness across symptoms, findings that echo results from other developed countries. With low rates of cancer screening, another approach to reducing cancer burden and disparities may be through greater symptom awareness for symptoms with lower awareness, though additional work is needed to identify mechanisms through which awareness may have its effects on cancer outcomes. BACKGROUND Vascular cognitive impairment and dementia (VCID) and Alzheimer's disease are predominant diseases among the aging population resulting in decline of various cognitive domains. Diffusion weighted MRI (DW-MRI) has been shown to be a promising aid in the diagnosis of such diseases. However, there are various models of DW-MRI and the interpretation of diffusion metrics depends on the model used in fitting data. Most previous studies are entirely based on parameters calculated from a single diffusion model. NEW METHOD We employ a data fusion framework wherein diffusion metrics from different models such as diffusion tensor imaging, diffusion kurtosis imaging and constrained spherical deconvolution model are fused using well known blind source separation approach to investigate white matter microstructural changes in population comprising of controls and VCID subgroups. Multiple comparisons between subject groups and prediction analysis using features from individual models and proposed fusion model are carried out to evaluate performance of proposed method. RESULTS Diffusion features from individual models successfully distinguished between controls and disease groups, but failed to differentiate between disease groups, whereas fusion approach showed group differences between disease groups too. WM tracts showing significant differences are superior longitudinal fasciculus, anterior thalamic radiation, arcuate fasciculus, optic radiation and corticospinal tract. COMPARISON WITH EXISTING METHOD ROC analysis showed increased AUC for fusion (AUC = 0.913, averaged across groups and tracts) compared to that of uni-model features (AUC = 0.77) demonstrating increased sensitivity of proposed method. CONCLUSION Overall our results highlight the benefits of multi-model fusion approach, providing improved sensitivity in discriminating VCID subgroups.