42 research outputs found

    Comparative analysis of Identification and Classification of Face Emotions Using Different Machine Learning and Deep Learning Algorithms

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    Sentiments are significant and profound features of individual conduct. Examining facial looks and acknowledging their expressive condition is stimulating job by extensive reaching functions. Human Face expression Recognition is one of very influential and stimulating chores in public interaction. Usually, face expressions are usual and straight ways for human beings for communicate their emotions and intentions. Face expressions are the key characteristics of non-verbal communication. Here, we introduce available dataset i.e., CK+, JAFFE and FED dataset that are widely used in this work. This paper focuses upon facial expression recognition technique founded on machine learning algorithms pair and also deep learning algorithms that will assist in precise recognition and organization of human emotion

    Formulation and Evaluation of Floating Oral In Situ Gelling System of Amoxicillin

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    Purpose. Effective Helicobacter pylori eradication requires delivery of the antibiotic locally in the stomach. High dose of amoxicillin (750 to 1000 mg) is difficult to incorporate in floating tablets but can easily be given in liquid dosage form. Keeping the above facts in mind, we made an attempt to develop a new floating in situ gelling system of amoxicillin with increased residence time using sodium alginate as gelling polymer to eradicate H. pylori. Methods. Floating in situ gelling formulations were prepared using sodium alginate, calcium chloride, sodium citrate, hydroxypropyl methyl cellulose K100, and sodium bicarbonate. The prepared formulations were evaluated for solution viscosity, floating lag time, total floating time, and in vitro drug release. The formulation was optimized using a 32 full factorial design. Dissolution data were fitted to various models to ascertain kinetic of drug release. Regression analysis and analysis of variance were performed for dependent variables. Results. All formulations (F1–F9) showed floating within 30 s and had total floating time of more than 24 h. All the formulations showed good pourability. It was observed that concentration of sodium alginate and HPMC K100 had significant influence on floating lag time, cumulative percentage drug release in 6 h and 10 h. The batch F8 was considered optimum since it showed more similarity in drug release (f2 = 74.38) to the theoretical release profile. Conclusion. Floating in situ gelling system of amoxicillin can be formulated using sodium alginate as a gelling polymer to sustain the drug release for 10 to 12 h with zero-order release kinetics

    Influence of tillage practices and crop diversification on productivity and soil health in maize (Zea mays)/soybean (Glycine max) based cropping systems

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    A field experiment was conducted at New Delhi during 2010–12 to find-out the influence of tillage practices and cropping systems on crop productivity and soil health in maize (Zea mays L.)/soybean (Glycine max L.) based cropping systems. Results revealed that minimum tillage with crop residue mulch improved the yield of component crops by 5–22% as well as system productivity by 5.4–7.1% in current study. The effect of minimum tillage on crop yields was more pronounced among summer season crops followed by winter season crops. Soil organic carbon (SOC) and available NPK as well as S exhibited marked improvement due to minimum tillage over conventional tillage. Soil pH and soil physical properties revealed favourable effects of minimum tillage over initial status. On an average, maize/soybean grown after summer greengram observed about 10–12% increase in yield than grown after spring sunflower. Winter season wheat, coriander, fenugreek, vegetable pea and potato exhibited 10.4, 6.9, 3.8, 6 and 11% higher yield after soybean compared to their respective yields after maize. Yield of spring sunflower in soybean– vegetable pea–sunflower system was 18 and 11% higher than its yield in maize–potato–sunflower and maize– vegetable pea–sunflower systems, respectively. The productivity of soybean based cropping systems was higher than that of maize based systems. With intervention of vegetable pea and potato during winter and sunflower during spring; the productivity of maize/soybean–vegetable pea/potato–sunflower systems was enhanced by 128% over maize/soybean–wheat–greengram systems. Similarly, replacement of wheat with coriander in maize/soybean–wheat– greengram system also improved the system productivity markedly. Diversified soybean–fenugreek/wheat/coriander– greengram systems also led to a marked improvement in SOC over initial status. Intervention of legumes also improved the available N, while cropping systems without non–legumes showed a decline in available N over initial status

    Plutajuće matriks tablete: Dizajniranje i optimizacija kombiniranjem polimera

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    The purpose of the present study was to develop an optimized gastric floating drug delivery system (GFDDS) containing domperidone as a model drug. Box-Behnken design was employed in formulating the GFDDS with three polymers: hydroxypropyl methylcellulose K4M (HPMC K4M) (X1), Carbopol 934P (X2) and sodium alginate (X3), as independent variables. Floating lag time (FLT), total floating time (TFT), time required to release 50% of the drug (t50) and diffusion exponent (n) were selected as dependent variables. Seventeen formulations were prepared, dissolution data obtained was fitted to the power law and floating profiles were analyzed. HPMC loading was found to be significant for floating properties. Carbopol loading had a negative effect on floating properties but was found helpful in controlling the release rate of the drug. No significant effect of sodium alginate on floating properties was observed but it was important for gel formation. The quadratic mathematical model developed could be used to predict formulations with desired release and floating properties.Cilj rada bio je razvoj i optimizacija plutajućih sustava za isporuku lijekova u želucu (GFDDS) s domperidonom kao modelom lijeka. Box-Behnkenovo dizajniranje korišteno je u formuliranju GFDDS. Nezavisne varijable u dizajniranju bila su tri polimera: hidroksipropil metilceluloza K4M (HPMC K4M) (X1), Carbopol 934P (X2) i natrijev alginat (X3), a zavisne varijable usporeno vrijeme plutanja (FLT), ukupno vrijeme plutanja (TFT), vrijeme potrebno za oslobađanje 50% lijeka (t50) i difuzijski eksponent (n). Pripravljeno je ukupno sedamnaest formulacija. Analizirani su podaci o oslobađanju ljekovite tvari. Količina HPMC značajno utječe na svojstva plutanja, dok količina karbopola ima negativni učinak na svojstvo plutanja, ali kontrolira oslobađanje ljekovite tvari. Natrijev alginat nema značajni učinak na svojstva plutanja, ali utječe na stvaranje gela. Kvadratni matematički model može se upotrijebiti za predviđanje formulacija sa željenim profilom oslobađanja i svojstvima plutanja

    Synthesis and evaluation of antioxidant activity of 2-styrylchromones

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    Nanomedicine Scale-Up Technologies: Feasibilities and Challenges

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    Alginate-Gelatin Nanoparticles in Malaria

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    Calcium hydroxide: An efficient and mild base for one-pot synthesis of curcumin and it’s analogues

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    Abstract Calcium hydroxide was found to be an efficient mild base for the one-pot synthesis of curcumin and its analogues obtained by condensation of one equivalent of acetyl acetone with two equivalents of corresponding aromatic aldehyde. The present protocol offers various advantages such as high yields, inexpensive easily available mild base, easy workup and eco-friendly method.</jats:p
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