Scalar fields as dark matter candidates in the modified left-right symmetry model

Dark matter is about 25% of the universe, but its existence is still a mystery. The Modified Left-Right Symmetry Model with the extension of the scalar field, is expected to explain dark matter candidate. The dark matter candidates were analyzed using the Higgs Potential and Lagrangian Yukawa to obtain information on decay and scattering interactions. The generation of dark matter can be determined by analyzing the temperature evolution of the universe, which is divided into three stages post-inflation reheating, symmetry breaking first step, and symmetry breaking second step. The analysis results show that the right-sector scalar field  can be Cold Dark Matter (CDM) candidate because it has non-relativistic characteristics, is stable, does not interact with fermions, and has an abundance of 0.004. The right-sector atom can also be a CDM candidate because it has non-relativistic characteristics, is neutral, and consists of the right nucleons and right electrons. The singlet scalar field  can be the Warm Dark Matter (WDM) candidate because it can decay into fermion, interact in the left and right sectors, is neutrally charged and does not interact with other particles electromagnetically and has an abundance of 0.003. Thus, based on the modified left-right symmetry model, the particle that can be a candidate for dark matter is the scalar field

Precipitated calcium oxide nanosize from limestone and blood clam shells

Calcium oxide (CaO) is a product that is needed by various types of industries such as the pharmaceutical, chemical, agricultural and health industries. CaO is generally produced by the calcination method of CaCO3 materials such as calcium carbonate rocks or from various types of shells. The calcination method requires a large amount of energy because the operating temperature is above 1000 C and the resulting calcium oxide product is still micrometer size. This study developed nanosize precipitated CaO from two calcium sources, namely blood clam shells and limestone. For clam shells using hydrochloric acid as a solvent and sodium hydroxide as a precipitating agent, while for limestone using phosphoric acid as a solvent and potassium hydroxide as a precipitating agent. The effect of acidity (pH) and calcination temperature on the characteristics of the precipitated CaO was observed. The blood calm shell produces precipitated CaO 85-92 % with a particle size of 200-250 Nm and the limestone produces precipitated CaO 42-66% with a particle size of 250-300 Nm

Numerical computational approach for 6th order boundary value problems

This study introduces numerical computational methods that employ fourth-kind Chebyshev polynomials as basis functions to solve sixth-order boundary value problems. The approach transforms the BVPs into a system of linear algebraic equations, expressed as unknown Chebyshev coefficients, which are subsequently solved through matrix inversion. Numerical experiments were conducted to validate the accuracy and efficiency of the technique, demonstrating its simplicity and superiority over existing solutions. The graphical representation of the method's solution is also presented

Antibacterial activity of actinomycetes associated with clove plant (Syzygium aromaticum) against Staphylococcus aureus and Escherichia coli

Actinomycetes form associations with plants through colonizing plant tissues (endophytes) or by residing in the soil around some plants' roots (rhizosphere). Actinomycetes are known to produce antibacterial compounds. This study aimed to investigate the antibacterial activity of actinomycetes associated with the clove plant (Syzygium aromaticum) against Staphylococcus aureus and Escherichia coli. Actinomycetes were isolated from clove plants and the rhizosphere, and their antimicrobial activity against Staphylococcus aureus and Escherichia coli was evaluated using the agar plug method, where the presence of transparent zones around 10-day-old actinomycete growth indicated inhibition of bacterial growth. Four isolates showed inhibitory effects against Staphylococcus aureus, while only three isolates, B.4, T.3, and T.4, demonstrated inhibitory activity against Escherichia coli, as indicated by the presence of inhibition zones. Isolate T.3 exhibited the highest inhibition zone of 8.5 mm against S. aureus, whereas B.4 displayed the highest inhibition zone of 7.7 mm against E. coli. In conclusion, the actinomycetes found in clove plants (Syzygium aromaticum) demonstrate antibacterial properties against Staphylococcus aureus and Escherichia coli, indicating their potential as antibacterial agents

Formulation and analysis of physical properties of Turi leaf extract suspension (Sesbania grandiflora L.)

Sesbania Grandiflora .L is a type of plant that has so many benefits in the treatment of various kinds Diseases include laxatives, pain relievers (analgesics), fever reducers (antipyretic), laxative urine (diuretic), and others. Almost all parts of This plant belonging to the genus Sesbania Grandiflora is efficacious as a medicine covering the skin stems, flowers, leaves and roots. Sesbania Grandiflora .L  contains alkaloid compounds, glycosides, flavonoids, saponins, tannins and phenols which give a positive reaction in the phytochemical screening assay. Turi leaf extract need to be made in the form of pharmaceutical dosage forms for ease of use. One preparation that can be applied is a suspension.In this study, turi leaf extract was used as the active substance. The suspension was made in 3 formulas with different concentrations of turi leaf extract. The finished suspension was tested for physical characteristics including organoleptic test, homogeneity test, pH test, density test and viscosity test.Based on the results of secondary metabolite tests, turi leaves contain alkaloids, flavonoids, tannins and saponins. Based on the results of testing the physical properties of the suspension, it showed that all formulas met SNI standards based on organoleptic, homogeneity, pH and density tests. while based on the viscosity test the suspension made does not meet SNI standards

Prediction of seawater salinity based on comparison of truncated spline estimators, Fourier Series and Kernel

Salinity is one of the factors that affect salt production. Salinity is defined as the level of saltiness or too much salt in water. The salt in question is a variety of ions dissolved in water, including table salt (NaCl). The higher the level of NaCl contained, the better the quality of the salt formed. This low quality causes Indonesia to import salt, both consumption salt and industrial salt. Because most of the quality of salt still does not meet the criteria of SNI. For this reason, it is necessary to predict the salinity of seawater to help determine the next steps or policies in improving the quality of salt in Indonesia, especially in the Madura area. This research is examined in the form of a nonparametric regression curve estimator with a truncated spline estimator approach, Fourier series and kernel. From the comparison results, the best model for predicting seawater salinity is the estimator of the Fourier series base sine cosine with an oscillation parameter (k) of 2 with a GCV value of 5.017987 and MSE and a coefficient of determination of 0.06299933 and 94.64373%. So the prediction results obtained in this study are close to accurate with MAPE values of 0.07225208%, MSE of 0.0001441417 and coefficient of determination of 99.99%

Bioactivity mapping of secondary metabolite compounds of Pandanus amaryllifolius leaves as anti-inflammatory using in silico

Inflammation is one of the primary responses of the immune system to infection and irritation. Anti-inflammatory drugs generally cause side effects. Anti-inflammatory developed by reducing side effects use many natural materials such as plants. The parts of the plant used include fruits, leaves, stem bark, rhizomes, and flowers. One of the plants that can be used as an anti-inflammatory is Pandanus amaryllifolius. P. amaryllifolius leaves contain several materials, such as flavonoids, alkaloids, saponins, tannins, polyphenols, and dyes. This study aimed to determine the anti-inflammatory potential of the secondary metabolites of Pandanus amaryllifolius leaves using the in silico method. The research used a descriptive exploratory method and was conducted from December 2022 – January 2023. In silico mapping of the bioactivity of active compounds was carried out using several software or websites: knapsack database (www.knapsackfamily.com), NCBI PubChem database (https://pubchem.ncbi.nlm.nih.gov/), PASS Online Way 2 Drug (http://www.way2drug.com/passonline/) and ADME Swiss Analysis (http://www.swissadme.ch/). The result shows P. amarylifolius has 31 active compounds. The compounds were then analyzed using Pass Online with 18 anti-inflammatory parameters. It explained that 3 compounds met the rules for Pa values 0.7, namely compounds 6E-Pandanamine (0.758), Pandamenyamine (0.735), and Pandamarilactone 1 (0.709). The results of pharmacokinetic tests using Lipinsk

Analysis of return period and seismic risk of Shallow Earthquake occurrence in Cianjur and surrounding areas

Determination of the seismic risk and return period of shallow earthquakes in Cianjur and surrounding areas is very important as a reference in earthquake disaster mitigation programs. Within this return period, structural and non-structural conditions can be prepared in stages that are ready to face disasters if the earthquake recurs. In this study used the least squares statistical method to determine the relationship between frequency and magnitude, level of risk, and earthquake return period. The earthquake data used in this study is sourced from the earthquake catalog of the United States Geological Survey (USGS) spanning 50 years (1973 – 2023). A total of 57 shallow earthquakes that occurred in Cianjur area and its surroundings at coordinates (06°-08°S and 106°-108°E) with magnitude greater or equal to 5.0 at a depth of 0-60 km were used as sample data. Based on the results of data processing and analysis, the return periods are 3.17 to 29.1 years for earthquakes with magnitudes between 5.0 and 6.0, and 29.1 to 267.38 years for earthquakes with magnitudes between 6.0 and 7.0.. Earthquake risk for 10 to 20 years with magnitude greater than 5.0 is 95.74 to 99.82 %, with magnitude greater than 6.0 is 20.09 to 49.70 %, and with magnitude 7.0 is 3.67 to 7.21 %. From the results of processing and analysis of the earthquake data, it shows that the Cianjur area and its surroundings are earthquake-prone areas with a high risk

Isolation of curcumin compounds in Temulawak Rhizome (Xanthorrhiza Roxb)

The curcumin compounds in Temulawak Rhizome have been isolated and identified.. This study aims to identify curcumin compounds in temulawak rhizome by modifying methods that pay attention to the efficiency of funds and the use of materials. In general, the method of isolation and identification is carried out. The methods used are (1) Extraction, (2) Thin Layer Chromatography, (3) Column Chromatography and (4) Infrared (IR) Testing. Based on comparing the sample's Retention Factor (RF) value with the standard curcumin compound, the results were identical, and the positive sample contained a curcumin compound. The results of the Infrared spectrum can be assumed that the sample is a flavanols group, which can be seen from the wavelength range of identical functional groups in curcumin compounds

Phytochemical analysis of secondary metabolite compounds of Pandanwangi leaf extract (Pandanus amaryllifolius)

The majority of people use pandan as a dye, food fragrance, and natural medicine because it contains secondary metabolites such as alkaloids, saponins, and phenolics. Therefore, this research aims to explore the secondary metabolites of Pandanus amaryllifolius using qualitative and quantitative methods. The research begins by taking samples of pandan leaves, which are then extracted and tested qualitatively and quantitatively. The qualitative test results showed that pandan leaf extract contained flavonoids, polyphenols, and tannins. In the quantitative test of pandan leaf phenolic compounds using a UV-Vis spectrometer with gallic acid concentrations of 80 ppm, 100 ppm, 120 ppm, and 140 ppm, Based on the quantitative test, the total phenolic content of pandan extract is 114 mg/L