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In modern financial market, the most crucial problem is to find essential approach to outline and visualizing the predictions in stock-markets to be made by individuals in order to attain maximum profit by investments. The stock market is a transformative, onstraight dynamical and complex system. Long term investment is one of the major investment decisions. Developing this simple project idea using dash library (of python), we can make dynamic plots of financial data of a specific company using tabular data provided by finance python library. On top of it, we can use machine learning algorithm to predict the upcoming stock prices. The project is a good start for beginners in python/data science and a good refresher for professionals who have dabbled in Python/ML before.

Nutraceuticals are the products derive from food sources with extra health benefits. They can prevent malignant processes. The term ‘nutraceuticals’ combines two words ‘nutrients ( a nourishing food component ) and ‘pharmaceuticals’(a medical drug ) The philosophy behind nutraceuticals is according to Hippocrates “ Let food be your medicine”. Categories of nutraceuticals are dietary supplements, functional food, medicinal food, pharmaceuticals. Advance age is often characterized by a declined in large spectrum of cognitive abilities including reasoning, memory, perceptual speed and language. Alzheimer’s disease (AD) is the most common and feared from dementia representing circa 70% of all dementia cases and displaying a dramatic epidemics due to the enormous growth of the aged population worldwide. It is still unclear which factors lead to molecular cascade of neurode generation in AD, but along with genetic environmental factors vascular pathology and risk factor have been recently shown to play crucial role in AD pathogenesis .AD impacts dramatically on everyday life of older adults, being one of the main cause of disability in old age. There is clear evidence that a diet rich in specific nutritional food group (fruit, fish, vegetables) can reduce the incidence and prevalence of some of the main clinical outcomes, such as neurodegenerative disorders, cardiovascular diseases, diabetes, cancer. This specific nutritional food group are rich in micronutrients and vitamins are beneficial for health. The Mediterranean diet is characterized by a high consumption of plant food, fish olive oil as primary source of monounsaturated fat and moderate intake of wine. In this article, we focus our attention on group of substance proposed to prevent or treat Alzheimer’s disease.

In this project we are implementing a Diabetic Retinopathy Detection System, which will be used primarily in medical institutes to detect and classify various stages of Diabetic Ratinopathy. This project will have primarily three main Users that would be Admin, Doctor and Patient. The complete system revolves around two users – Doctor and Patient. We are using dataset from Kaggle to train the system using Python and for main users like admin, doctor and patient UI would be web-based system designed and developed using HTML, CSS, JS, along with HOPE UI framework and Bootstrap 5. There will be a Web Application for DDR. Main Goal of the project is to automate the screening process of detection of diabetic ratinopathy. Project has 5 main modules, 1. Training, 2. Testing, 3. Admin Portal, 4. Doctor Portal, 5. Patient Portal through which all the task will be performed. Our system classifies Diabetic Retinopathy in 4 different., {"references":["Kamble, V. V., & Kokate, R. D. (2020). Automated diabetic retinopathy detection using radial basis function. Procedia Computer Science, 167, 799-808.","Alzami, F., Megantara, R. A., & Fanani, A. Z. (2019, September). Diabetic retinopathy grade classification based on fractal analysis and random forest. In 2019 International Seminar on Application for Technology of Information and Communication (iSemantic) (pp. 272-276). IEEE.","Omar, Z. A., Hanafi, M., Mashohor, S., Mahfudz, N. F. M., & Muna'im, M. (2017, October). Automatic diabetic retinopathy detection and classification system. In 2017 7th IEEE International Conference on System Engineering and Technology (ICSET) (pp. 162-166). IEEE."]}

The present study evaluates the potential use of ultrasound irradiation to synthesize decyl oleate using Fermase CALBTM10000 under the solvent-free system (SFS). The optimal condition to achieve a maximum yield of 97.14% was found to be 1:2 oleic acid:decanol ratio, 1.8% (w/w) enzyme loading, 45°C temperature, 200 rpm agitation speed, 50 W power input, 50% duty cycle, 22 kHz frequency and reaction time of 25 minutes. The thermodynamic study was done to determine the change in entropy, Gibb's free energy, and change in enthalpy at various temperatures. The experimental results and kinetic study showed that the reaction followed ordered bi-bi model with kinetic parameters as rate of reaction (V max ) = 35.02 M/min/g catalyst, Michaelis constant for acid (K A ) = 34.47 M, Michaelis constant for alcohol (K B ) = 3.31 M, Inhibition constant (Ki) = 4542.4 M and sum of square error (SSE) = 0.000334. The application of ultrasound irradiation combined with biocatalyst and the absence of solvent intensified the process compared to the traditional stirring method using hexane as solvent.

Objectives. To adapt and extend an existing typology of vaccine misinformation to classify the major topics of discussion across the total vaccine discourse on Twitter. Methods. Using 1.8 million vaccine-relevant tweets compiled from 2014 to 2017, we adapted an existing typology to Twitter data, first in a manual content analysis and then using latent Dirichlet allocation (LDA) topic modeling to extract 100 topics from the data set. Results. Manual annotation identified 22% of the data set as antivaccine, of which safety concerns and conspiracies were the most common themes. Seventeen percent of content was identified as provaccine, with roughly equal proportions of vaccine promotion, criticizing antivaccine beliefs, and vaccine safety and effectiveness. Of the 100 LDA topics, 48 contained provaccine sentiment and 28 contained antivaccine sentiment, with 9 containing both. Conclusions. Our updated typology successfully combines manual annotation with machine-learning methods to estimate the distribution of vaccine arguments, with greater detail on the most distinctive topics of discussion. With this information, communication efforts can be developed to better promote vaccines and avoid amplifying antivaccine rhetoric on Twitter.

Mosses have been known for millennia and highly esteemed all over the world as the rich source of bioactive compounds. The research targets on evolution of microbicidal potentialities of Rhodobryum roseum (extract) used against selected fungus (X. oryzae pv oryzae, S. enteric, P. multocida and M. plutonius) and bacteria (R. solani, S. rolfsii, F. oxysporum and T. indica) to assay antimicrobial activity. Impact of aqueous and undertaken organic viz., ethanol, acetone, choloform, petroleum ether, methanol extract of R. roseum, at varied concentrations and at different time intervals were examined against the growth of bacteria and fungus. All the aqueous extracts were proved to be infective against all the tested pathogens. The antimicrobial potential of six extracts was screened against undertaken bacteria and fungi using micro broth dilution assay. Out of the six (diverse organic and aqueous) extract of R. roseum in ethanol and acetone showed maximum inhibitory activity in S. rolfsii with the MIC value of 5.00 (µg/ml), along with MFC value of 6.25 (µg/ml) in acetone extract and the value of MBC was recorded utmost in X. oryzae with value 3.00 (µg/ml) extracted in ethanol. Over all, the organic extract of R. roseum has potent antimicrobial activity and could be possible source of lead molecules considered for the future development of microbicidal agent.

Nano-sized materials have been an important tool in basic and applied sciences. A novel, low cost, green and reproducible bacteria, Staphylococcus aureus mediated biosynthesis of titanium dioxide nanoparticles (TiO2 NPs) was reported in the present study. Initial conformational studies were done using UV-visible spectroscopy and confirmed the synthesis of TiO2 NPs in the broth. The detailed characterization of the TiO2NPs was carried out using SEM, XRD, FTIR and Raman spectroscopy. From the SEM, it was confirmed that the sample showed the NPs were smooth and spherical with an average diameter of about 20nm. From FTIR analysis, it was confirmed that the TiO2 nanoparticles are crystalline in nature, which was confirmed by the FTIR peak at 518cm-1 corresponds to the TiO2 vibration present in a crystalline structure. Additionally, the synthesized NPs were also characterized by Transmission Electron Microscopy (TEM) and Particle size analyzer. This study was aimed to determine the antibacterial and antibiofilm activity of Titanium oxide nanoparticles against both Gram-positive and Gram-negative bacterial species and significant positive results against Bacillus subtilis and Escherichia coli were observed.

Background: Studies concerning pediatric lichen sclerosus are limited, and, to date, there have been no studies comparing the course of lichen sclerosus in boys and girls. We sought to examine all publications on boys and girls with lichen sclerosus and assess and compare epidemiology, symptoms and signs, genetic background, risk factors, treatment, and prognosis. Methods: A systematic search was performed in the Embase, Medline, Cochrane, and Web of Science databases. Inclusion criteria were information on children ages 0–18 years and a clinical or histologic diagnosis of lichen sclerosus. Literature from 1985 to 2021 was reviewed. Results: A total of 1780 articles were retrieved from the search, of which 90 articles were eligible for inclusion. Boys and girls present similarly on many aspects; nonetheless, treatment and follow-up are approached differently. Conclusions: Though the clinical approach is often different, lichen sclerosus in boys and girls demonstrates many similarities. More research is needed, especially on follow-up, to gain a better understanding of the course of lichen sclerosus and establish an advanced management plan for children.

The conventional flavor synthesis method suffers from low yields, time inefficiency, and extreme reaction conditions. Therefore, there is a necessity for the green and novel synthesis approach to overcome these limitations. The current review presents a holistic insight into different aspects associated with the synthesis of flavor esters using the immobilized enzyme. The application of process intensification tools such as ultrasound and microwave irradiation can enhance the reaction efficiency because of higher product recovery, less formation of by-products, and decreased energy consumption. This review presents the process intensification of value-added flavor esters synthesis and the mechanism of ultrasound and microwave action on the enzyme to enhance the enzyme activity and increase the reaction rate. It also summarizes the role of process intensification in enzymatic flavor ester synthesis, followed by specific examples as reported in the literature.

Oyster mushroom( Pleurotus ostreatus) is belong to the group of healthy foods, as they contain high levels of proteins, vitamins and different classes of compounds, it is discovered that oyster mushrooms could play a key role in maintaining good health. Oyster mushroom (Pleurotus sp.) Class Basidiomycetes and Family Agaricaceae are widely known as ‘dhingri’ in India. Pleurotus Ostreatus have several medicinal properties including ; anti-arthritic , antitumor, immune modulatory , antioxidant, anticancer, anti-inflammatory, antigenotoxic, hypo-cholesterolaemic, antihyperglycaemic antihypertensive, antiplatelet aggregating, antiviral and antimicrobial activities.. In this paper studied that effects of chemical constituents of oyster mushroom(Pleurotus sp.) on DNA damaging protein which analyzed its activity of PARP inhibiting or vice – versa.For this analysis we choose the molecular docking technique to check the effects of different chemical constituents of oyster mushroom(Pleurotus sp.) on DNA damaging protein and compare their results to PARP inhibitory drugs which taken as standard . We perform the molecular docking in between chemical constituents of oyster mushroom(Pleurotus sp.) and 4UND protein compare to performance of molecular docking in between standard PARP inhibitory drugs and 4UND protein with the help of PyRx and BIOVIA Discovery studio software.The analysis of molecular docking shows that some chemical constituents of oyster mushroom(Pleurotus sp.) having more binding affinity than standard PARP inhibitory drugs .The Rutin shows better binding affinity than PARP inhibitory drugs on the same protein.

Objective: To review phase 3 trials of sodium-glucose cotransporter (SGLT) inhibitors in type 1 diabetes mellitus (T1DM) patients. Data Sources: A literature search of Ovid MEDLINE databases (1946 through May 17, 2019) limited to English-language human clinical trials was conducted using the following terms: sodium-glucose transporter 2 inhibitors, canagliflozin, dapagliflozin, empagliflozin, sotagliflozin, ertugliflozin, ipragliflozin, or remogliflozin combined with type 1 diabetes mellitus. Results were verified via Google Scholar and clinicaltrials.gov. Study Selection and Data Extraction: Articles were included if they were phase 3 trials in adults with T1DM. Data Synthesis: Phase 3 trials are available for dapagliflozin, empagliflozin, and sotagliflozin. All 3 drugs demonstrated statistically significant reductions in hemoglobin A1C, weight, and total daily insulin dose without an increased risk of hypoglycemia in up to 52 weeks of therapy. The incidence of diabetic ketoacidosis (DKA) was higher in patients on a SGLT inhibitor at all doses, with the exception of empagliflozin 2.5 mg (0.8% vs 1.2% with placebo). Relevance to Patient Care and Clinical Practice: SGLT inhibitors are potential adjuncts to insulin in T1DM patients, providing clinically meaningful benefits. Regulatory bodies have either approved or are reviewing these agents for use in T1DM. Clinicians should be familiar with the DKA risk associated with SGLT inhibitors and utilize DKA risk-mitigation strategies. Empagliflozin 2.5 mg warrants additional investigation given its efficacy without an increased incidence of DKA. Conclusions: Phase 3 trial data of SGLT inhibitors provide evidence for sustained efficacy in T1DM patients. Appropriate patient selection for therapy and routine monitoring are essential to minimize associated risks.