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Milk is a valuable source of dietary calcium and it becomes important to establish whether incorporation of dietary fiber (DF), a health promoting food constituent, would lead to any undesirable impact on the bioavailability of milk calcium or not. The DF fortified spray dried partly skimmed milk powder with prestandardized fiber Blend-I (psyllium husk, oat fiber, MCC, inulin) and fiber Blend-II (psyllium husk, oat bran, wheat fiber and inulin) was subjected to rat-feeding studies to examine the possible effects on the bioavailability of milk calcium. The differences for calcium absorption and retention among diets containing DF Blend-I, DF Blend-II and cellulose (control) were found to be non-significant. It was evident that the milk calcium bioavailability of the diets containing two fiber formulations tested (at the levels studied) was at par with that of control standard diet containing only cellulose as DF. Therefore, it is reasonable to incorporate these DF blends into dairy products, and thereby add value.

A protein-rich puffed snack was produced using a twin screw extruder and the effects of varying levels of tapioca starch (11 to 40 parts), rennet casein (6 to 20 parts) and sorghum flour (25 to 75 parts) on physico-chemical properties and sensory attributes of the product studied. An increasing level of sorghum flour resulted in a decreasing whiteness (Hunter L* value) of the snack. Although the starch also generally tended to make the product increasingly darker, both starch and casein showed redness parameter (a* value) was not significantly influenced by the ingredients levels, the yellow hue (b* value) generally declined with the increasing sorghum level. Tapioca starch significantly increased the expansion ratio and decreased the bulk density and hardness value of the snack, whereas the opposite effects seen in case of sorghum flour. While the water solubility index was enhanced by starch, water absorption index was appreciably improved by sorghum. Incorporation of casein (up to 25 %) improved the sensory color and texture scores, and so also the overall acceptability rating of the product. Sorghum flour had an adverse impact on all the sensory attributes whereas starch only on the color score. The casein or starch level had no perceivable effect on the product’s flavor score. The response surface data enabled optimization of the snack-base formulation for the desired protein level or desired sensory characteristics.

In the present study, process parameters were optimized for the production of desiccated chhana-murki (Indian cottage cheese‐based dessert). Response Surface Methodology (RSM) was employed to explore the mutual effects of coagulation temperature (CT) of milk (70–90 °C), % fat level in milk (3.5%–5.5%), and sugar-to-paneer cube (SP) ratio (0.6–0.9) on instrumental hardness (N), water activity (aw), yield (%), sensory sweetness and overall acceptability (on 100-point intensity scale) of chhana-murki. The resulted responses were evaluated by analysis of variance (ANOVA), and the second-order polynomial response surface equations were fitted using multiple regression analysis. Determination coefficients (R2) were equal to 80% or higher for individual responses stated that the developed models were well fitted to the experimental results. The optimized product was prepared using CT 79.22 °C, milk fat 4.8%, and SP ratio 0.7. Confirmatory experiment values for instrument hardness, water activity (aw), yield (%), sensory sweetness and overall acceptability were 105.05 N, 0.85, 115.2%, 61.2 and 78.8, respectively.

Butter is a highly concentrated form of milk fat obtained through physical treatment of cream but, the milk fat is present partly as intact globules and partly as free fat, that is, the globules shorn of their membrane coating. The process of butter manufacture primarily involves a series of steps aimed at concentrating milk fat to an extent of 80% and effecting inversion of the O/W emulsion into W/O one, ensuring maximum possible recovery of milk fat in butter. The solid‐fat content of butter can be appreciably reduced by increasing the unsaturation butterfat, falling under the purview of “fat spreads”. Compositional modifications pertaining to fat spreads are also discussed in this chapter. The safety, quality, and shelf life of butter greatly depend on how hygienically the process was carried out right through packaging and its subsequent handling, besides, of course, on the raw materials, particularly cream, used in butter manufacture.

Transparent roofs and walls offer a compelling solution for harnessing natural light. However, traditional glass roofs and walls face challenges such as glare, privacy concerns, and overheating issues. In this study, we present a polymer-based micro-photonic multi-functional metamaterial. The metamaterial diffuses 73% of incident sunlight, creating a more comfortable and private indoor environment. The visible spectral transmittance of the metamaterial (95%) surpasses that of traditional glass (91%). Furthermore, the metamaterial is estimated to enhance photosynthesis efficiency by ~9% compared to glass roofs. With a high emissivity (~0.98) close to that of a mid-infrared black body, the metamaterial is estimated to have a cooling capacity of ~97 W/m 2 at ambient temperature. The metamaterial was about 6 °C cooler than the ambient temperature in humid Karlsruhe. The metamaterial exhibits superhydrophobic performance with a contact angle of 152°, significantly higher than that of glass (26°), thus potentially having excellent self-cleaning properties. Transparent roofs offer a solution for harnessing natural light in sustainable buildings. Here, authors demonstrate a polymer-based metamaterial with micro-pyramid surface structures that diffuses sunlight while offering passive cooling and self-cleaning properties.

The main objective of this research was to enhance the understanding of the oil-structuring properties of natural waxes. A number of natural food-grade waxes were evaluated for their oil-gelling properties using a combination of techniques, including rheology, differential scanning calorimetry, and polarized light microscopy. Based on the rheological measurements (oscillatory, flow, and thixotropic behavior), we found that rice bran wax, carnauba Brazilian wax and fruit wax showed weak gelling behavior in rice bran oil (prepared at concentrations as high as 5 % w/w), exhibiting relative low elastic moduli that displayed a high frequency dependency. On the contrary, carnauba wild wax, berry wax, candelilla wax, beeswax, and sunflower wax were efficient oleogelators forming strong gels at concentration of <2 % w/w. We attempt to explain these observed differences in gelling behavior by crystal morphology, network formation, and the final amount of crystalline phase.

Contemporary real-world data on clinical outcomes after utilization of coronary atherectomy are sparse. The study cohort was derived from Healthcare Cost and Utilization Project Nationwide Inpatient Sample database from year 2012. Percutaneous coronary interventions including atherectomy were identified using appropriate International Classification of Diseases, 9th Revision diagnostic and procedural codes. Two-level hierarchical multivariate mixed models were created. The primary outcome was a composite of in-hospital mortality and periprocedural complications; the secondary outcome was in-hospital mortality. Hospitalization costs were also assessed. A total of 107,131 procedures were identified in 2012. Multivariate analysis revealed that atherectomy utilization was independently predictive of greater primary composite outcome of in-hospital mortality and complications (odds ratio 1.34, 95% confidence interval 1.22 to 1.47, p <0.001) but was not associated with any significant difference in terms of in-hospital mortality alone (odds ratio 1.22, 95% confidence interval 0.99 to 1.52, p 0.063). In the propensity-matched cohort, atherectomy utilization was again associated with a higher rate of complications (12.88% vs 10.99%, p = 0.001), in-hospital mortality + any complication (13.69% vs 11.91%, p = 0.003) with a nonsignificant difference in terms of in-hospital mortality alone (3.45% vs 2.88%, p = 0.063) and higher hospitalization costs ($25,341 ± 353 vs $21,984 ± 87, p <0.001). Atherectomy utilization during percutaneous coronary intervention is associated with a higher rate of postprocedural complications without any significant impact on in-hospital mortality.

BackgroundArtificial intelligence (AI) has influenced all aspects of human life and neurology is no exception to this growing trend. The aim of this paper is to guide medical practitioners on the relevant aspects of artificial intelligence, i.e., machine learning, and deep learning, to review the development of technological advancement equipped with AI, and to elucidate how machine learning can revolutionize the management of neurological diseases. This review focuses on unsupervised aspects of machine learning, and how these aspects could be applied to precision neurology to improve patient outcomes. We have mentioned various forms of available AI, prior research, outcomes, benefits and limitations of AI, effective accessibility and future of AI, keeping the current burden of neurological disorders in mind.DiscussionThe smart device system to monitor tremors and to recognize its phenotypes for better outcomes of deep brain stimulation, applications evaluating fine motor functions, AI integrated electroencephalogram learning to diagnose epilepsy and psychological non-epileptic seizure, predict outcome of seizure surgeries, recognize patterns of autonomic instability to prevent sudden unexpected death in epilepsy (SUDEP), identify the pattern of complex algorithm in neuroimaging classifying cognitive impairment, differentiating and classifying concussion phenotypes, smartwatches monitoring atrial fibrillation to prevent strokes, and prediction of prognosis in dementia are unique examples of experimental utilizations of AI in the field of neurology. Though there are obvious limitations of AI, the general consensus among several nationwide studies is that this new technology has the ability to improve the prognosis of neurological disorders and as a result should become a staple in the medical community.ConclusionAI not only helps to analyze medical data in disease prevention, diagnosis, patient monitoring, and development of new protocols, but can also assist clinicians in dealing with voluminous data in a more accurate and efficient manner.

Otitis media is a common otolaryngologic diagnosis worldwide. Invasive methods to curtail and treat frequent occurrences are undesirable, thus necessitating the identification and production of a non-invasive approach to treating the disease. Due to tympanic membrane thickness, ototopical drug delivery is challenging. In this preliminary study, formulations integrating nanopeptides and thermoresponsive polymeric hydrogels are utilized to improve the efficiency of trans-tympanic membrane drug delivery. Peptides were synthesized using standard Fmoc (fluorenylmethoxycarbonyl protecting group) based solid state peptide synthesis on an automated peptide synthesizer. Ciprofloxacin release was simulated using multiwell microplates with porous inserts. Rate of Ciprofloxacin release was measured over a 48-hour period using a 200 uL solution of peptide fibers and Ciprofloxacin at 1 wt% each, and the labeled peptide at 0.1 wt% in PBS at pH of 7.4. The cytotoxicity of the PA (peptide amphiphile, specifically c16-AHL K -CO H) micelle and fiber with and without ciprofloxacin was investigated by examining epidermal keratinocyte viability in the presence of the material at various concentrations. Laser scanning confocal microscopy was performed with excitation of the calcein dye at 485 nm and the PA-TAMRA (rhodamine labeled peptide) at 515 nm. We have demonstrated the potential viability of a self-assembled peptide amphiphile hydrogel capable of transitioning from a network of 1D nanoscale fibers to 0D micelles. This dissociative mechanism of action yields a peptide that is an effective cell penetrating peptide (CPP) while temporally controlling the release of the antibiotic ciprofloxacin. This work highlights the potential utility of the dynamic process of an engineered peptide hydrogel capable of dissociating into CPPs capable of facilitating drug delivery across the tympanic membrane.

Astrometric observations of S-stars provide a unique opportunity to probe the nature of Sagittarius-A* (Sgr-A*). In view of this, it has become important to understand the nature and behavior of timelike bound trajectories of particles around a massive central object. It is known now that whereas the Schwarzschild black hole does not allow the negative precession for the S-stars, the naked singularity spacetimes can admit the positive as well as negative precession for the bound timelike orbits. In this context, we study the perihelion precession of a test particle in the Kerr spacetime geometry. Considering some approximations, we investigate whether the timelike bound orbits of a test particle in Kerr spacetime can have negative precession. In this paper, we only consider low eccentric timelike equatorial orbits. With these considerations, we find that in Kerr spacetimes, negative precession of timelike bound orbits is not allowed.