MICROENCAPSULATION OF ASTAXANTHINUSING IONOTROPIC GELATION METHOD ISOLATED FROM THREE CRAB VARIETIES

Objective: The objective of the present study was to prepare microencapsulated astaxanthin isolated from three crab varieties. Methods: Astaxanthin was isolated from Portunus sanguinolentus (Three Spotted Crab), Callinectes sapidus (Blue Crab), and Paralithodes brevipes (Spiny King Crab) using hexane: isopropanol and microencapsulated astaxanthin were prepared by 2% sodium alginate and 3% calcium chloride using ionotropic gelation method. The prepared microsphere was evaluated for SEM analysis, drug content, and encapsulation efficiency and swelling studies. Results: The microspheres obtained were heterogeneous in size, round shaped with smooth surface and with no obvious dents. The practical drug content varied between 35.25 mg to 42.21 mg. The encapsulation efficiency was found to be higher in blue crab (90.42 %) when compared with other crab varieties along with astaxanthin standard. The result showed that the swelling ratio at pH 1.2 was lesser than at pH 7.4. Conclusion: Thus the result gained revealed that the microencapsulated astaxanthin could support the concept of sustained release in drug therapy

Revelation of Significant Fake Rhetorical in Wrapping Bygone Utilizing Significant Learning Procedures

The developing computation control has made the profound learning calculations so powerful that making an unclear human synthesized video famously called a profound fake has got to be exceptionally straightforward. Scenarios where these practical confront swapped profound fakes are utilized to form political trouble, fake psychological warfare occasions, vindicate porn, and shakedown people groups are effortlessly imagined. In this work, we depict a modern profound learning-based strategy that can viably recognize AI-generated fake recordings from genuine videos. Our strategy can naturally be recognizing the substitution and reenactment of deep fakes. We are attempting to utilize Manufactured Intelligence (AI) to battle Fake Intelligence(AI). Our framework uses a res-next neural convolution system to extract frame-level highlights and promote the use of these highlights to prepare the long-term memory (LSTM)-based repetitive neural network (RNN) to classify whether the video is subject to art. control or not , i.e whether the video is profoundly fake or genuine. To imitate the genuine time scenarios and make the show perform way better on genuine time information, we assess our strategy on an expansive sum of adjusted and blended data-set arranged by blending the different accessible data-set like Face-Forensic, Deep Fake location challenge, and Celeb-DF. We moreover focus on  how our framework can accomplish competitive results utilizing exceptionally straightforward and strong approaches

Note on Pharmacological Activities of Melissa officinalis L.

Lemon balm (Melissa officinalis) is a perennial herb in the mint family Lamiaceae, native to southern Europe and the Mediterranean region. Lemon Balm is used medicinally as a herbal tea, or in extract form. It is claimed to have antibacterial, antiviral properties (it is effective against herpes simplex), and it is also used as a mild sedative or calming agent. At least one study has found it to be effective at reducing stress, although the study\u27s authors call for further research. Its antibacterial properties have also been demonstrated scientifically, although they are markedly weaker than those from a number of other plants studied

Synchrophasor Technology for Cyber Security in Smart Grid

Smart grid is controlled by an authority personnel who uses LAN or the internet to control it. By knowing this information any one from outside can control the smart grid using LAN or the internet. This process of hacking the smart grid control is known as aurora attack. The Aurora attack may pose a risk to rotating machinery operating under certain conditions on the electrical grid. The Aurora attack involves opening and closing one or more circuit breakers, resulting in an out-of-synchronism condition that may damage rotating equipment connected to the power grid.This paper focuses on the Aurora attack on a synchronous generator and the existing technology available to mitigate the attack. The root cause of the vulnerability is breakdown in security. The first level prevents the attack with sound security practices. The second level protects the equipment in the event that the security level is compromised. The equipment can be protected using wide-area synchronized phasor measurement and protection system and security considerations

Naïve Bayesian Classification Based Glioma Brain Tumor Segmentation Using Grey Level Co-occurrence Matrix Method

Brain tumors vary widely in size and form, making detection and diagnosis difficult. This study's main aim is to identify abnormal brain images., classify them from normal brain images, and then segment the tumor areas from the categorised brain images. In this study, we offer a technique based on the Nave Bayesian classification approach that can efficiently identify and segment brain tumors. Noises are identified and filtered out during the preprocessing phase of tumor identification. After preprocessing the brain image, GLCM and probabilistic properties are extracted. Naive Bayesian classifier is then used to train and label the retrieved features. When the tumors in a brain picture have been categorised, the watershed segmentation approach is used to isolate the tumors. This paper's brain pictures are from the BRATS 2015 data collection. The suggested approach has a classification rate of 99.2% for MR pictures of normal brain tissue and a rate of 97.3% for MR images of aberrant Glioma brain tissue. In this study, we provide a strategy for detecting and segmenting tumors that has a 97.54% Probability of Detection (POD), a 92.18% Probability of False Detection (POFD), a 98.17% Critical Success Index (CSI), and a 98.55% Percentage of Corrects (PC). The recommended Glioma brain tumour detection technique outperforms existing state-of-the-art approaches in POD, POFD, CSI, and PC because it can identify tumour locations in abnormal brain images

Note on Pharmacological Activities of Calendula officinalis L.

Calendula officinalis, known as Pot Marigold or English Marigold, is a plant in the Calendula genus. Calendula officinalis is used for the treatment of skin disorders and pain, and as a bactericide, antiseptic and anti-inflammatory. The petals and pollen contain triterpenoid esters (an antiinflammatory) and the carotenoids flavoxanthin and auroxanthin (antioxidants, and the source of the yellow-orange coloration). The leaves and stems contain other carotenoids, mostly lutein (80%) and zeaxanthin (5%), and beta-carotene. Plant extracts are also widely used by cosmetics, presumably due to presence of compounds such as saponins, resins and essential oils

ESolvent-free, enzyme-catalyzed biodiesel production from mango, neem, and shea oils via response surface methodology

Mango, neem and shea kernels produce non-conventional oils whose potentials are not fully exploited. To give an added value to these oils, they were transesterified into biodiesel in a solvent-free system using immobilized enzyme lipozyme from Mucor miehei. The Doehlert experimental design was used to evaluate the methyl ester (ME) yields as influenced by enzyme concentration—EC, temperature—T, added water content—AWC, and reaction time—RT. Biodiesel yields were quantified by (1)H NMR spectroscopy and subsequently modeled by a second order polynomial equation with interactions. Lipozyme enzymes were more tolerant to high temperatures in neem and shea oils reaction media compared to that of mango oil. The optimum reaction conditions EC, T, AWC, and RT assuring near complete conversion were as follows: mango oil 7.25 %, 36.6 °C, 10.9 %, 36.4 h; neem oil EC = 7.19 %, T = 45.7 °C, AWC = 8.43 %, RT = 25.08 h; and shea oil EC = 4.43 %, T = 45.65 °C, AWC = 6.21 % and RT = 25.08 h. Validation experiments of these optimum conditions gave ME yields of 98.1 ± 1.0, 98.5 ± 1.6 and 99.3 ± 0.4 % for mango, neem and shea oils, respectively, which all met ASTM biodiesel standards