Optimasi Starch 1500® Dan Crospovidone Pada Formulasiorally Disintegrating Tablet (Odt) Antasida

SARI Gastritis atau secara umum dikenal dengan istilah sakit “maag” ialah peradangan pada dinding lambung terutama pada selaput lendir lambung.Penyakit gastritis umumya diatasi dengan penggunaan antasida yang merupakan kombinasi antara Aluminium Hidroksida dan Magnesium Hidroksida.Orally Disintegrating Tablet diketahui dapat hancur atau melarut dalam mulut tanpa memerlukan air.Antasida diformulasikan dalam bentuk sediaan Orally Disintegrating Tablet diharapkan mampu memberikan onset yang cepat dengan penggunaan yang lebih praktis.Diperlukan eksipien berupa superdisintegrant untuk dapat meningkatkan waktu hancurnya.Penelitian ini bertujuan untuk mengetahui pengaruh dari Starch 1500® dan Crospovidone sebagai superdisintegrant serta interaksi keduanya dan menentukan formula optimum pada karakteristik fisik Orally Disintegrating Tablet (ODT) Antasida.Optimasi Starch 1500® dan Crospovidone dilakukan dengan metode factorial design.Konsentrasi Starch 1500® yang digunakan adalah 5% dan 10%, sedangkan Crospovidone 2% dan 5%.Orally Disintegrating Tablet (ODT) Antasida dibuat dengan metode kempa langsung dan formula optimum diperoleh dari respons daya alir, kandungan lembab, kekerasan, kerapuhan, waktu hancur serta wetting time. Formula optimum yang didapat adalah komposisi Starch 1500® sebesar 6,467% danCrospovidone sebesar 2,000%

Hybrid Deep Learning Model to Predict Students’ Sentiments in Higher Educational Institutions

Sentiment analysis has been widely used in various fields of social media, education, and business. Specifically, in the education domain, the usage of sentiment analysis is difficult due to the huge amount of information, the nature of language, and processing the diverse perceptions of students. Deep learning emerges as an advanced concept in the realm of machine learning that learns features automatically from raw text data, making them well-suited for sentiment analysis tasks. In recent years, deep learning has been used in analyzing the sentiments. Deep learning architectures have surpassed other machine learning paradigms for performing sentiment analysis. The ability to analyze automatically the students’ sentiments enables HEI to process huge amounts of unstructured data quickly, efficiently, and cost-effectively. The paper aims to predict the sentiments of students’ reviews posted in VLE regarding online learning that enables the educators to optimize their teaching methods for the best results. This study paper explores the usage of CNN, LSTM, and hybrid CNN-LSTM for the prediction of sentiments. The proposed hybrid CNN-LSTM architecture achieves superior performance compared to other baseline algorithms with respect to accuracy, precision, recall, and F1 score. According to outcomes, the recommended technique achieves remarkable accuracy of 97%. The findings facilitate the progress of a more efficient deep learning sentiment prediction system that gives valuable insights from a huge volume of students’ textual data

Protective effect of Hemidesmus indicus R.Br. root extract against cisplatin-induced cytogenetic damage in mouse bone marrow cells

The aqueous extract of Hemidesmus indicus roots was investigated for its in vivo antigenotoxic effect against cisplatin-induced cytogenetic damage. Swiss albino mice were administered with various doses of the extract either singly (50, 100 and 200 mg/kg body weight) or as split doses (10, 20 and 40 mg/kg bw/day) for five consecutive days by oral gavage. As endpoints, chromosome aberrations, micronuclei in polychromatic erythrocytes, mitotic index and PCE/NCE ratio were estimated. The extract protected the bone marrow cells from cisplatin-induced genotoxicity in an inverse dose-dependent manner. However, the extract was cytotoxic at all doses. But, under split dose regime it conferred a higher level of genoprotection and was not cytotoxic at the lower two doses. The presence of saponins, tannins, phenols, terpenoids, flavonoids and coumarins in the crude extract could explain these effects

HPTLC fingerprinting of stem bark extract of Nyctanthes arbor-tristis (L.)

Fingerprint profile of   bark extract of Nyctanthes arbor-tristis using High Performance Thin Layer chromatography (HPTLC) has been established. HPTLC is a valuable tool for the investigation of medicinal plants with reference to the qualitative analysis of the phytoconstituents. Separation of the active constituents from the extracts has been developed using solvent system of Toluene: Ethyl acetate: Formic acid (5:4:1). The HPTLC analysis showed the presence of the flavonoid quercetin in the standard as well  as in the sample  and the  Rf value was  0.73. These images of fingerprinting help in the proper identification and quantification of the   marker compounds. On the basis of the marker compounds, new drugs could be formulated to treat various diseases Keywords: Nyctanthes arbor- tristis, HPTLC analysis, quercetin, bark extrac

Assessment of Birth Preparedness and Complication Readiness among Pregnant Women: A Cross-sectional Study

Introduction: Ropivacaine is a long-acting amide local anaesthetic agent and the pure S (-) enantiomer of propivacaine. It has been readily available as an isobaric solution for a long time. Recently, a hyperbaric solution has become available in the Indian market. Levobupivacaine is the pure S-enantiomer of bupivacaine, which is safer than racemic bupivacaine in regional anaesthesia. It has less affinity and strength of depressant effects on myocardial and Central Nervous System (CNS) vital centers in pharmacodynamic studies, along with a superior pharmacokinetic profile. Aim: To compare the sensory and motor blockade, time of two-segment regression, time for rescue analgesia, haemodynamic effects and sedative effects between hyperbaric 0.5% levobupivacaine and hyperbaric 0.75% ropivacaine. Materials and Methods: This prospective, double-blinded and randomised clinical study was conducted in the Department of Anaesthesiology, Shrimati Bhikhiben Kanjibhai Shah Medical Institute and Research Centre (a tertiary care institute), Sumandeep Vidyapeeth Deemed to be University, Piparia, Vadodara, Gujarat, India, from September 2023 to July 2024, with a sample size of 40 patients. Patients with American Society of Anaesthesiologists (ASA) I/II status were randomly allocated into two equal groups of 20 each. Group-R received 0.75% hyperbaric ropivacaine 3.5 mL+0.1 mL normal saline (total 3.6 mL) and Group-L received 0.5% hyperbaric levobupivacaine 3.5 mL+0.1 mL normal saline (total 3.6 mL). Data were recorded using MS Excel and analysed using Statistical Package for Social Sciences (SPSS version 22.0) software. The Student’s t-test was used for data comparison regarding the onset and duration of sensory and motor blockade, time of two-segment regression, time for rescue analgesia, haemodynamic stability and sedative effects between the study groups. Results: The mean age for Group-R was 45.00±7.1 years and Group-L 51.95±8.03 years. onset of sensory blockade at the T10 level and the onset of motor blockade in Group-R were slower than in Group-L (p-value <0.05). The time to two-segment regression was significantly faster in Group-R than in Group-L (p-value <0.05). The duration of sensory and motor blockade, as well as the time for rescue analgesia, was significantly prolonged in Group-L compared to Group-R (p-value <0.05). The sedative effects, arterial oxygen saturation (SpO2) and respiratory rate were comparable in both groups. Intraoperatively, haemodynamics were more stable in Group-R compared to Group-L. Conclusion: The present study implies that in haemodynamically unstable patients, 0.75% hyperbaric ropivacaine can provide a less complicated neuraxial blockade. In contrast, levobupivacaine offers a superior effect in terms of the duration of blockade and analgesia. This makes levobupivacaine useful for longer-duration surgeries, while ropivacaine is more suitable for shorter-duration procedures

Chilling stress effects on growth and development of Panivaragu (Panicum milliaceum L.) genotypes

Temperature stress was the most critical environmental factor that restricted plant growth, impaired physiological and biochemical processes and ultimately reduced productivity worldwide. Cold temperatures, especially low temperatures, significantly reduced seedling growth and extended the flower initiation period (50 - 55 Days After Sowing (DAS)) during the crop growth and development period of Panivaragu (Panicum milliaceum L.). Small millets were drought tolerant in general. Even though it was a drought-tolerant crop, it did not tolerate cold temperatures. When compared with conventional cultivation, total dry matter production was very low at cold temperature. As a result, yield loss was severe. When compared to coarse cereals like wheat and rice, small millets were extremely high in protein, fibre and minerals. The field experiment was conducted with Panivaragu (TNPm 238, TNPm 247, TNPm 255, TNPm 274, TNPm 280 and TNPm 282) at Agricultural College and Research Institute, Vazhavachanur, during Rabi season. The Panivaragu genotype TNPm 280 followed by TNPm 282 performed well under low temperature condition with a smaller reduction in plant height (from 44.6 to 41.8 cm). The Panivaragu genotypes TNPm 280 and TNPm 282 recorded greater 1000 grain weight (4.60 g), highest grain yield (1873 kg/ha) and straw yield (1990 kg/ha) compared to other genotypes

Antiulcer, wound healing and hepatoprotective activities of the seaweeds Gracilaria crassa, Turbinaria ornata and Laurencia papillosa from the southeast coast of India

Seaweeds have bioactive compounds of interest in the pharmaceutical industry. In India, seaweeds are used exclusively for phycocolloids production and have not yet received consideration as a dietary supplement. So, it has become imperative to explore the biomedical potential of seaweeds and promote their utilization as a functional food. The seaweeds Turbinaria ornata, Gracillaria crassa and Laurencia papillosa, collected from the Tuticorin coast of the Southeast coast of India and selected based on preliminary screening, were extracted with acetone and evaluated for antiulcer, wound healing and hepatoprotective activities. L. papillosa showed the highest level of gastric protection activity (81%) at 200 mg/kg, comparable to the standard drug ranitidine (90%). G. crassa followed with 76%. G. crassa and L. papillosa, showed marked wound-healing activity. G. crassa at 200 mg/kg, showed a marked effect on the serum marker enzymes indicating prominent hepatoprotective activity. The noteworthy wound-healing and hepato-protective properties of G. crassa besides anti-ulcer activity next to L. papillosa were indicative of its potential for further consideration