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Aavarai Poovarisi Chooranam is a Siddha poly herbal formulation plays an important role in treating Diabetes alone or in combination. Chooranam is applied to the powder made by a single or a mixture of herbal ingredients. The drugs required for making Aavarai Poovarisi Chooranam were collected and authenticated by experts and prepared as per siddha literature. It was then subjected to preliminary phyto-chemical analysis, physico-chemical, high performance thin layer chromatographic finger printing was done through CAMAG software, biochemical analysis, heavy metal analysis, pesticide residue, aflatoxin and microbial load analysis prior to toxicology and pharmacology testing. The obtained results were within normal limits in this study, which is briefly described in this paper.

In the present work, an attempt has been made to develop controlled release tablets of Domperidone by selecting different grade of HPMC like HPMC K4 M, HPMC K15 M and Eudragit S-100 as retarding polymers. All the formulations were prepared by direct compression method. The blend of all the formulations showed god flow properties such as angle of repose, bulk density, tapped density. The prepared tablets were shown good post compression parameters and they passed all the quality control evaluation parameters as per I.P limits. Dissolution studies of Domperidone controlled release tablets in media with different dissolution media 0.1N HCl, Phosphate buffer pH (6.8) as per US Pharmacopoeia. The dissolution data revealed that the ratio of polymers is very important to achieve an optimum formulation. The formulation of Domperidone CR tablets shown that formulation F6 with HPMC K4 M (10mg) shown good drug release profile. Among all the formulations F6 formulation showed maximum % drug release i.e., 99.36% in 12 hours hence it is considered as optimized formulation F6 which contains HPMC K4 M (10mg). Keywords: Domperidone, HPMC K4 M, HPMC K15 M, Eudragit S-100 and controlled release tablets.

Many Physicians are not a big fan of Google or internet sites or search engines that might be causing a negative impact on their patients. Patients who Google search their symptoms come to the Physicians with fear and queries that might not even be related to what they might have but would still doubt the Physicians diagnosis because what they have searched up might be something else. This has also caused a rise in "Cyberchondria", as the patients do deep Google searches on their symptoms. But, studies being conducted on Dr. Google or any internet searches state otherwise. After many studies and analyses, 50% of the studies have concluded that searching up symptoms on the internet prior consultation to with their Physicians might not be such a bad idea.

Most movie recommendation methods use hard-clustering and simple collaborative filtering techniques in order to achieve their end results. However, these methods tend to overlook crucial aspects of both users and items. When these methods hard cluster a movie item into a cluster, they turn a blind eye to the fact that the item also exhibits some properties of another cluster's items. Recommender systems facilitate users and relevant things expeditiously supported their requests and historic communications with alternative customers. Recommendation systems are a crucial portion of signifying things particularly in streaming amenities. For streaming motion-picture show services like Netflix, recommendation methods are vital for serving to users notice fresh movies to get pleasure from. However, massive amounts of information will turn out restrictions in recommendations due to accuracy as a result of diversity and meagerness problems. Our work proposes a unique hybrid technique that mixes collaborative filtering and characteristics of demographic filtering technique to point the close users, and associate against one another. This technique has been established over associate in tending analysis of the way to cut back the blunders in grading estimates supported users' earlier communications that ends up in improved prediction accuracy in among completely different algorithms. Additionally, a feature combination technique is utilized that progresses the expectation accuracy and to check our method, using MovieLens 1M dataset, we contended an offline assessment, already available assessment tactics, and compared the same with the output factors to support authenticating the proposed procedure.

Objective: Oxidation is a normal process in many biological metabolisms in living beings, but in this technology era radiation, pollution, irregular life style, and unhealthy diet leads to excessive oxidation resulting in imbalance between antioxidants and free radicals in body called oxidative stress, which may result in cardiac problems, diabetes, and carcinogenic diseases. Therefore, exploration of natural antioxidants in flora and fauna is becoming important. In this motive a phytochemical study was taken up on various parts of Pterocarpus santalinus L.f. plant belonging to Leguminosae family to check the presence of antioxidant activity (AA). Methods: The leaves, flowers, fruits, and roots of this plant were extracted with six different organic solvents from polar to non-polar. To estimate the AA of these extracts, four types of antioxidant tests were done on them, namely, α, α – Diphenyl – β – Picryl - Hydrazyl free radical scavenging activity (DPPH RSA) assay, relative reducing power (RRP) assay, Ferric thiocyanate (FTC) assay, and β - carotene bleaching assay with Butylated Hydroxy Toluene (BHT) as synthetic standard. Results: In extraction, Me extracts showed highest yields. Qualitative phytochemical screening has revealed many bioactive components in the Me and Et extracts of plant parts majorly. In DPPH RSA assay, Me extracts of leaves showed RSA activity almost equal to reference standard. In RRP assay, Me floral extracts showed AA higher than standard. FTC and β – Carotene assays showed that Me sample extracts possess good AA than BHT. In FTC assay, lower absorption values specify high AA, whereas in β – Carotene assay, high absorption values indicate high AA of the sample extracts. Conclusion: Among six solvents methanol showed highest extraction efficiency and also revealed highest number of phytochemicals in its extracts. These four AA assays revealed that the methanol extracts of all plant parts, that is., leaves, roots, fruits, and flowers possess better AA compared other solvent extracts.

Pregnant women are always considered full stomach with high incidence of nausea and vomiting. Anti-emetic efficacy of Ondansetron has been proved in various studies. The aim of this present study is to evaluate efficacy and safety of chewing gum as an alternative to Ondansetron in prevention of postoperative nausea and vomiting (PONV) in parturients undergoing elective LSCS under spinal anesthesia. One hundred pregnant women who were found eligible as per inclusion and exclusion criteria were randomized into two equal groups by simple randomization into Group A (n=50) who were given sugar free chewing gum which was to be chewed for 30 minutes three times a day starting immediately after cesarean section and Group B (n=50) who received Inj. Ondanse tron 4mg twice a day post operatively. The outcome measures were episodes of post-operative nausea and vomiting at 6, 12, 18 and 24 hours in both groups, relief of PONV and acceptability of treatment. The secondary outcome measures time to first flatus. Statistical analysis was done through relevant tests using SPSS 16.0. There was no statistically significant difference between the two groups in terms of demographic characteristics such as age, gravidity parity, duration of surgery and type of cesarean section. The incidence of nausea and vomiting was significantly less in Group A compared with Group B at 6 and 12 hours post operatively (p < 0.001). There was no significant difference of this variable at 18 and 24 hours in both groups. The mean average of the first passage of flatus in group A was 20.3±2.01 hours versus 29.6±2.51 hours in Group B (P Gum chewing after cesarean section is safe, well tolerated, and acceptable for prevention of post-operative nausea and vomiting and rapid resumption of intestinal motility and has potential impact on reducing the overall healthcare costs in case of routine implementation.

The advent of laparoscopic surgery has benefited the patient and surgeon; however creation of pneumoperitoneum for same has bearings during the perioperative period. These effects of pneumoperitoneum are associated with significant hemodynamic changes, increasing the morbidity of the patient. Dexmedetomidine, a new α2 agonist provides stable hemodynamic condition, good quality of intra operative analgesia and prolonged post-operative analgesia with minimal side effects.: A total of 74 patients of either sex, planned for laparoscopic cholecystectomy were included. The patients were randomly divided into two groups of 37 each. GROUP D received Injection Dexmeditomedine 5µg (0.05ml) is diluted in 0.5ml of cerebrospinal fluid and injected intrathecally. A 5minutes interval is given for recording of post injection hemodynamic parameters prior to general anaesthesia. Patients will be premedicated with Injection glycopyrrolate 0.04 mg/kg, Injection midazolam 0.02 mg/kg and Injection Fentanyl 2µg/kg intravenously. After adequate preoxygenation, conventional general anaesthesia will be given to the patients. GROUP ‘E’: Conventional general anaesthesia alone. Heart rate (HR), systolic blood pressure, diastolic blood pressure and mean arterial pressure (MAP), ETco2 were recorded preoperative, after study drug, after induction, after pneumoperitoneum at 5 min intervals, post pneumoperitoneumIn group D, there was no statistically significant increase in HR and blood pressure after pneumoperitoneum at any time intervals and there was significant increase in time for first rescue analgesic, intraoperative fentanyl requirement, whereas in Group E, there was a statistical significant increase in MAP after pneumoperitoneum at 5, 10 and 15 min and HR during the whole pneumoperitoneum period.Dexmedetomidine 5 µg given intrathecally improves the hemodynamic stability, decreased intraoperative requirement of fentanyl and the duration of postoperative analgesia and also provides an analgesic sparing effect in patients undergoing laparoscopic abdominal surgery.

This research discusses the moisture absorption and chemical resistance studies on pineapple fiber reinforced Vinyl ester composite. A composite material was developed with pineapple fiber as reinforcement in the Vinyl ester matrix. Pineapple fiber of three different weight percentages 30%, 40% and 50% wt as well as fiber length of 30mm, 40mm and 50mm respectively taken for the study. The moisture absorption and the chemical resistance property of the composite were investigated as per the ASTM standard. Five different chemicals were used to investigate the chemical resistance behavior of the composite. The initial and final weight loss of the composites was calculated to find the moisture resistance property. The chemical resistance property was increased with the addition of treated jute fiber. All the tested composites exhibited positive results on the chemical resistance test

Background: E1A binding protein (p300) and its paralog CREB binding protein (CBP or CREBBP) are ubiquitously expressed acetyl transferases (HAT) that also act as co-activators for number of transcription factors including HIF1a, BRCA-1, p53, c-Myc and androgen receptor (AR). Both CBP and p300 possess bromodomain (BRD) and a lysine acetyltransferase (KAT) domain. These two closely related epigenetic modulators are known to play an oncogenic role in a variety of cancers. Functional synthetic lethal screens have identified preferential killing in CBP-deficient and/or MYC-dependent hematological cancer cells by suppression of the paralogue p300. CBP/p300 BRD inhibitor could also prevent AR and ER signaling, thereby potentially inhibiting growth of AR and ER -dependent cancer cells. Thus, targeting CBP/p300 represents an attractive approach for developing personalized cancer therapies. Experimental Results: Multiple potent and selective CBP/p300 BRD inhibitors that are structurally unrelated to known inhibitors were identified by iterative medicinal chemistry and SAR based approaches. The lead compound AU-18069 was optimized towards attaining good potency, selectivity, physicochemical properties and DMPK profile. AU-18069 potently inhibited proliferation of a wide range of cell lines derived from prostate cancer, breast cancer and CBP mutant/MYC-dependent hematological cancers. The lead compound demonstrated good PK profile in rodents as well as in dogs. Excellent anti-tumor efficacy was achieved in leukemia and lymphoma xenograft models at well-tolerated doses. Significant downregulation of c-Myc was observed in a single dose PK-PD study. Conclusion: Lead candidate AU-18069 demonstrated that selective CBP/p300 bromodomain inhibitors are efficacious in models of hematologic malignancies and solid cancers in vitro and in vivo. Further evaluation of efficacy in other xenograft models, as a single agent as well as in combination with other agents is planned. Long term toxicological and safety pharmacology evaluation in different species and other IND enabling studies are in progress to support progression of this compound to clinical trials. Citation Format: Chandrasekhar Abbineni, Saravanan Thiyagarajan, Aravind A B, Amit A Dhudashiya, Sivapriya Marappan, Naveen Kumar R, Raghavendra N R, Mamon Dey, Avinash Kumar, Uma Bharathi B V, Girish Aggunda Renukappa, N Venkata Siva Reddy, Asha Babu, Aakanksha J Shetty, Amith A, Narasimha Rao K, Suraj T Gore, Mahaboobi Jaleel, Ramesh S Senaiar, Vijaya Shankar Nataraj, Subhendu Mukherjee, Samiulla D S, Thomas Antony, Girish Daginakatte, Rajesh Eswarappa, Kavitha Nellore, Shekar Chelur, Murali Ramachandra, Susanta Samajdar. Evaluation of AU-18069, a novel small molecule CBP/p300 bromodomain inhibitor for the treatment of cancers [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 4114.

Welcome to EVALITA 2020! EVALITA is the evaluation campaign of Natural Language Processing and Speech Tools for Italian. EVALITA is an initiative of the Italian Association for Computational Linguistics (AILC, http://www.ai-lc.it) and it is endorsed by the Italian Association for Artificial Intelligence (AIxIA, http://www.aixia.it) and the Italian Association for Speech Sciences (AISV, http://www.aisv.it).