NUTRACEUTICAL PROPERTIES OF GLUTEN-FREE CUPCAKES PREPARED BY GLUTEN-FREE COMPOSITE FLOUR

Objective: The present study was aimed to evaluate the nutritional, phytochemical and antioxidant properties of all ratios of gluten-free composite flour-based cupcakes. Methods: Composite flour was the blend of teff millet flour (TF), navy bean flour (NF) and watermelon seeds flour (WF). The variations of three composite flours were prepared as, A being (TF: NF: WF=45:45:10), B being (TF: NF: WF=55:35:10) and C being (TF: NF: WF=65:25:10) respectively. Moisture, ash, fat, fiber, protein and carbohydrate were analyzed in this study. Minerals like calcium, iron, phosphorus and zinc were also analyzed. Results: The result of macronutrient and micronutrient of C ratio was moisture (28.1±0.2), ash (2.5±0.0), protein (12.2±0.3), fat (24.5±0.0), fiber (2.8±0.1) and carbohydrate (32.2±0.1 g/100g) respectively. Calcium (36.9±0.1), iron (7.5±0.0), zinc (3.8±0.2) and phosphorus (235.0±0.4 mg/100g) were also present in gluten-free Cupcakes. On the basis of the present study, it was found that gluten-free cupcakes contain different macro as well as micronutrients. It also has some phytochemicals such as flavonoids, saponins, tannin, glycocides and steroids. Conclusion: The study result revealed that gluten-free Cupcakes had higher phenols content as well as antioxidant activity. The overall good amount of all nutrients found in the C ratio. The sensory evaluation of Cupcakes on a 9 point hedonic scale revealed that a ratio was more acceptable than the B and C ratio. Therefore, it can be beneficial for celiac diseases, hypertension, anemia, diabetes and cancer condition

Can Differentiable Decision Trees Learn Interpretable Reward Functions?

There is an increasing interest in learning reward functions that model human intent and human preferences. However, many frameworks use blackbox learning methods that, while expressive, are difficult to interpret. We propose and evaluate a novel approach for learning expressive and interpretable reward functions from preferences using Differentiable Decision Trees (DDTs) for both low- and high-dimensional state inputs. We explore and discuss the viability of learning interpretable reward functions using DDTs by evaluating our algorithm on Cartpole, Visual Gridworld environments, and Atari games. We provide evidence that that the tree structure of our learned reward function is useful in determining the extent to which a reward function is aligned with human preferences. We visualize the learned reward DDTs and find that they are capable of learning interpretable reward functions but that the discrete nature of the trees hurts the performance of reinforcement learning at test time. However, we also show evidence that using soft outputs (averaged over all leaf nodes) results in competitive performance when compared with larger capacity deep neural network reward functions

Effect of various dentin disinfection protocols on the bond strength of resin modified glass ionomer restorative material

Disinfection of dentin surface prior to any restorative therapy is important for the longevity of the treatment rendered. However, these dentin disinfection methods should itself not interfere with the adhesion of the restorative material. Therefore the aim of this study was to determine the effect of various dentin disinfection protocols on the shear bond strength (SBS) of resin modified glass ionomer cement (RMGIC). The occlusal surface of 40 extracted premolars were trimmed to obtain a flat dentinal surface and was randomly divided into four groups. CTRL was the control group; NaOCl was 1% sodium hypochlorite disinfection group; CHX was 2% chlorhexidine disinfection group; and PAD was the photo-activated disinfection group. Then a predetermined dimension of RMGIC was bonded to the pre-treated dentin surfaces. Following this, each sample was tested for SBS using universal testing machine at a crosshead speed of 0.5mm/min. Among the test groups, CHX showed the least reduction in SBS and NaOCl the highest reduction in SBS as compared to the control group. PAD on the other hand showed significantly lower SBS than CTRL and CHX groups, but the values were higher than the NaOCl group. Thus, it could be concluded from the present study that use of chlorhexidine based dentin disinfection does interfere with the adhesion of RMGIC. However, photo-activated disinfection should be done with caution. Moreover, sodium hypochlorite based disinfectants should be avoided prior to the use of RMGIC

Systemic enzyme therapy in chronic venous disease: a review

Chronic venous disease (CVD), a sequel of venous insufficiency, has great medical and socioeconomic impact. Varicose veins and venous ulcer are amongst its commonest manifestations. In CVD, incompetent valves, weakened vascular walls, venous hypertension and increased permeability of venous walls lead to the release of proinflammatory mediators like tumor necrosis factor (TNF)-α, interleukin (IL)-1β, reactive oxygen species (R.O.S.), and reactive nitrogen species (R.N.S.) in the venous milieu. Pharmacotherapy with nonsteroidal anti-inflammatory drugs (NSAIDs) is often used to relieve pain caused by venous disease. However, there is a need for therapies that target the microcirculatory disorders and act on chronic inflammatory processes. Systemic enzyme therapy (SET), with orally administered combination of proteolytic enzymes- trypsin, bromelain, and flavonoid rutoside, has been used since decades for their anti-inflammatory, analgesic, anti-edematous, antithrombotic and antioxidant properties. This review discusses the various relevant pharmacodynamic properties demonstrated by the ingredients, followed by clinical studies of SET, which have demonstrated benefit in both subjective and objective parameters. These studies indicate that SET has good efficacy, tolerability and holds great promise to improve the quality of life of a patient with CVD.  

Haemostatic agents on the shear bond strength of self-adhesive resin

Background: Dentin surface contaminated with haemostatic agents can interfere with the bonding of self-adhesive resin cement. Therefore the purpose of this study was to evaluate the effect of various haemostatic agents such as Aluminium chloride, Ferric sulphate and Tannic acid on the shear bond strength of self-adhesive resin luting agent. Material and Methods: The buccal surfaces of extracted premolars were flattened to expose the dentine. The teeth were then randomly divided into four groups. In Group I Aluminium Chloride was applied on the flattened dentinal surface, in Group II Ferric Sulphate was applied to exposed dentin surface, in Group III tannic acid was applied on to the dentinal surface, and the control group, i.e. Group IV was rinsed with saline. After the surface treatment, all the teeth were air dried. Then a predetermined dimension of RelyX™ U200 self-adhesive resin cement was bonded to the pretreated dentin surfaces. The samples were then stored under 37 0 C in distilled water for 24 hours under 100 % humidity. Following this each sample was tested for shear bond strength with an Instron testing machine at a crosshead speed of 1mm/min. Results: There was significant difference in the shear bond strength of control and tannic acid contaminated group ( p <0.05), whereas there was no significant differences between the shear bond strength between control and aluminium chloride and ferric sulphate groups ( p >0.05). Conclusions: The usage of haemostatic agent can negatively affect the bond strength of self-adhesive resin cement (Rely X) on to the dentin surface. As per the study Tannic acid significantly weakened the bond between the self- adhesive resin and denti

HYPERSURFACES OF A FINSLER SPACE WITH PROJECTIVE GENERALIZED KROPINA CONFORMAL CHANGE METRIC

In the present paper, we have studied a Finsler space whose metric is obtained from the metric of a Finsler space by generalized Kropina conformal change and obtained a necessary and sufficient condition for these Finsler spaces to be projectively related. Apart from other results, the relation between the hypersurfaces of the two Finsler spaces has been discussed

A successful and ideal randomized orthogonal additive response model

An innovative additive randomized response technique (RRT) has been put forth in this study. The proposed models characteristics have been researched. Theoretically, it has been demonstrated that under highly realistic circumstances, the recommended additive model is superior to the existing one. RRTs are used to lessen response biases in sensitive research question self-report surveys (e.g., on socially undesirable characteristics). Evidence suggests that they cannot entirely eradicate self-protective response mechanisms. There are RRTs made especially to assess the effectiveness of such tactics in order to solve this issue. Also provided in support of the current study are numerical examples