Analisis Algoritma Prediksi Untuk Menghasilkan Prediksi Beban Listrik Jangka Pendek

Electricity is the lifeblood for human life, both for household and industrial world. In the power supply industry, it is important to determine the power requirements for the future as soon as possible (at the earliest). Short-term electric load prediction is one way that can be used to generate and distribute electrical energy economically, so that the power provider can know the load and demand for power for the next month, previous short-term power prediction studies, generally using the Neural method Network. Neural Network is an information processing system that has characteristics similar to biological neural networks but, deficiencies in Neural Network often overfitting due to overtrained. In a short-term electrical load prediction study, using the Support Vector Machine (SVM) method, Support Vector Machines (SVM) is a technique for predicting both classification and regression. This research begins by processing daily load system load data with a time span of 30 minutes, with data input used is data in January 2017. The results show that the SVM method can be one of the reference methods for the prediction of short-term electrical load with RMSE 0.034

Spectrum of adverse drug reactions and implicated drugs in a tertiary care centre: a prospective study

Background: Adverse Drug Reaction(ADR) is the major limitation in providing health care to patients at a global level. It affects patient’s recovery and is an important cause of mortality and morbidity in both hospitalized and ambulatory patients. ADR can occur with any class of drugs. Early detection and evaluation of ADR is essential to reduce harm to the patients. Thus, the present study was aimed to estimate the number of ADR’s reported, analyze its spectrum and the drugs attributed to it.Methods: This was a prospective study conducted in a tertiary care teaching hospital for a period of 3 months from March 2016 to May 2016 in SRM Medical College and Hospital, Potheri. Adverse drug reactions were collected by spontaneous reporting by active and passive methods. The causality assessment of the reported ADR’s was done using Naranjo causality assessment scale.Results: A total of 38 ADR’s were reported during the study period with male predominance (58%). Most of the ADR’s (42%) were common in patients in the age group 19-39 years. More number of ADR’s were from Medicine (29%) followed by Surgery (16%) and OG (16%) departments. Most commonly affected organ systems were skin (45%) followed by GIT (24%). The drugs mostly accounted were antibiotics (55%) especially Cephalosporins (33%). Most of the reactions were type A (68%) rather than type B (32%) and thus predictable. According to Naranjo’s causality assessment, 63% of reactions were probable, 26% were possible and 11% were definite. No reactions were unlikely. Severity assessment by Modified Hartwig and Seigel scale revealed 45% ADRs to be moderate, 42% were mild and 13% were severe and life threatening.Conclusions: The study concluded that Adverse Drug Reactions are common and some of them resulted in increased healthcare cost due to need of some interventions and increased length of hospital stay. As majority of ADR is predictable (Type A), so preventable. The health system should promote the spontaneous reporting of Adverse Drug Reactions (May be done mandatory). The proper documentation and periodic reporting to regional pharmacovigilance centres to ensure drug safety

Analysis of adverse drug reactions encountered in a tertiary care hospital: a cross sectional study

Background: Adverse drug reactions are due to hazards of drug therapy and can occur with any class of drugs. The aim of this study was to evaluate and record adverse drug reactions reported from various departments of a tertiary care hospital.Methods: A Cross Sectional study conducted in a tertiary care hospital for a period of 4 months from March to June 2017 after Institutional Ethics Committee approval. ADRs reports collected and analyzed for causality, severity and preventability by international standardized scales.Results: A total of 38 ADR’s were reported during the study period with male predominance (58%). Most of the ADR’s (42%) were common in patients in the age group 19-39 years. More number of ADR’s were from Medicine (29%). Most commonly affected organ systems were skin (45%). The drugs mostly accounted were antibiotics (55%) especially Cephalosporins (33%). According to Naranjo’s causality assessment scale 74% of reactions were probable, 26% were possible, Modified Hartwig and Seigel severity assessment scale revealed 45% ADRs to be moderate, 42% were mild and 13% were severe, Modified Schumock and Thorton Preventability assessment scale which revealed 61% ADRs were not preventable, 32% were probably preventable,7% were definitively preventable.Conclusions: Adverse Drug Reactions are common and some of them resulted in increased healthcare cost due to need of some interventions and increased length of hospital stay. The health system should promote the spontaneous reporting of ADR’s. The proper documentation and periodic reporting to Pharmacovigilance Centres is required to ensure drug safety

Hikami-Larkin-Nagaoka (HLN) Fitting of Magneto Transport of Bi2Se3 Single Crystal in Different Magnetic Field Ranges

We report the detailed study of structural micro-structuraland high magnetic field magneto transport propertiesof Bi2Se3single crystal. Bi2Se3 single crystal is grown through conventional solid-state reaction route via the self-flux method. Rietveld analysis on Powder X-ray Diffraction showed that the studied Bi2Se3 crystal is crystallized in single-phase without any impurity. The surface morphology analyzed through Scanning Electron Microscopy study which shows that as-grown single crystal exhibit layered type structure and the quantitative weight of the atomic constituents (Bi and Se) are found to be closeto the stoichiometric amount in energy-dispersive X-ray spectroscopy analysis. Low temperature (2.5K) magneto-resistance (MR) exhibited a v-type cusp around origin at lower magnetic field, which is the sign of weak anti-localization effect. Further, Bi2Se3 single crystal magneto conductivity data is fitted by well-known HLN equation in different magnetic field range of 2Tesla, 4Tesla and 6Tesla and the resultant found that the conduction mechanism of Bi2Se3 is dominated by WAL state.Comment: 4 Pages Text + Fig

Screening of cetirizine for analgesic activity in mice

Background: Pain is the most common symptom for which patients approach doctors. We have multitude of drugs for pain relief, but they have serious side effects ranging from peptic ulcer (e.g. NSAIDs) to renal failure. The other group, opioids have well known side effects ranging from sedation to drug dependence. So a search for a drug for analgesia with high therapeutic effect and fewer side effects will be a boon for the patients. The objective of this study was to find whether cetirizine, a second generation antihistaminic drug, has got any analgesic activity in mice.Methods: Ten adult albino mice weighing 20-30 grams of either sex were randomized to two groups (n=5). Group I: control group (Treated with solvent 0.1 ml/kg), Group II: Test group (Cetirizine 1mg/kg). All drugs were given orally. The analgesic activity was evaluated by using tail flick, tail immersion and tail clip methods. Reaction time of animals to pain sensation before and after Cetirizine administration were noted at 0, 15, 30, 60 and 90 minutes time intervals respectively on Day 1, 3, 5, 7, 10.Results: Mean reaction time was expressed as Mean±SEM, and one way ANOVA was used to assess statistical significance. Cetirizine was found to have statistically significant analgesic effect in mice and time dependent increase in analgesic effect were observed in all three pain models and maximum analgesic activity was observed at 60 minutes (p<0.001) after drug administration.Conclusions: Through this study, Cetirizine, a second generation antihistamine, is found to have significant analgesic activity in mice. This effect has to be studied further elaborately in animals as well as in humans

Genetic Variability, Standardized Multiple Linear Regression and Principal Component Analysis to Determine Some Important Sesame Yield Components

Sesame is an important commodity in supporting various industries such as low saturated fat oil producing and are often able to adapt under stressed grown conditions. Breeding sesame is undertaken to increase production and is possible by radiation induced polygenic characteristic changes with a gamma rays source. The study aims to identify the effectiveness of genetic variability, standardized multiple linear regression, and principal component analysis to determine some important sesame yield components for indirect selection. Eighteen sesame mutant lines (black and white types) were studied for eleven quantitative traits. Two sesame types were irradiated with eight doses (100-800 Gy) of gamma rays individually. Variability studies on seed yield and yield components are important raw material of high productivity for all studied traits. Standardized multiple linear regression analysis is the most effective way to provide information of relationship between seed yield and yield components in sesame mutant lines for indirect selection

Direct evidence of terahertz emission arising from anomalous Hall effect

A detailed understanding of the different mechanisms being responsible for terahertz (THz) emission in ferromagnetic (FM) materials will aid in designing efficient THz emitters. In this report, we present direct evidence of THz emission from single layer Co$_{0.4}$Fe$_{0.4}$B$_{0.2}$ (CoFeB) FM thin films. The dominant mechanism being responsible for the THz emission is the anomalous Hall effect (AHE), which is an effect of a net backflow current in the FM layer created by the spin-polarized current reflected at the interfaces of the FM layer. The THz emission from the AHE-based CoFeB emitter is optimized by varying its thickness, orientation, and pump fluence of the laser beam. Results from electrical transport measurements show that skew scattering of charge carriers is responsible for the THz emission in the CoFeB AHE-based THz emitter.Comment: 5 pages, 4 figure

Phytochemical Screening and Profiling of Secondary Metabolites of Annona Muricata Bark

Screening of phytochemicals is a precious stair in the detection of bioactive principles present in medicinal plants and may lead to novel drug discovery). In present study aimed to investigate the preliminary phytochemical screening, fluorescence, and spectroscopic characterization in Annona muricata bark. The qualitative analysis of aqueous, hexane, ethanol, hydro-ethanolic and methanol extracts of Annona muricata bark were investigated. Among the various extracts, the hydro-ethanolic extract of Annona muricata bark contains a higher concentration of phytochemicals than other extracts and is used for subsequent studies. Quantitative analysis revealed that the Annona muricata bark has contain significant amount of phenol, flavonoids, saponin, tannin and alkaloids were present. Histochemical analysis further confirmed the presence of phytochemicals in Annona muricata bark. UV-VIS spectral analysis we can confirm that the presence of tannins and flavonoids. FTIR analysis had confirmed the presence of alcohol, phenol, aromatic, carboxylic acid, and aliphatic amines.  Results of the study concluded that rich source of phytochemicals in Annona muricata bark is responsible for their therapeutic effects. So, it is recommended as a plant of phytopharmaceutical importance and further studies are needed with these plants to evaluate their pharmacological potentials of the bioactive compounds responsible for their bio-activities and other medicinal values

A Study of Challenges and Recommendations for Teaching: DevOps Education

DevOps has gained significant popularity in the software industry due to its ability to enhance collaboration, improve software delivery, and drive organizational agility. However, providing effective education and training in DevOps poses several Issue. This research paper presents an interview study conducted with a seasoned DevOps professional to explore the challenges faced in DevOps education and provide recommendations for addressing these challenges. The study highlights the evolving nature of the DevOps landscape, the interdisciplinary nature of DevOps, and the need for hands-on learning experiences. Additionally, the study emphasizes the importance of continuous curriculum updates, practical exercises, cross-functional collaboration, industry partnerships, and fostering a continuous learning mindset. The findings from this study contribute to the understanding of the unique challenges and recommendations for improving DevOps education

Shell closure effects studied via cluster decay in heavy nuclei

The effects of shell closure in nuclei via the cluster decay is studied. In this context, we have made use of the Preformed Cluster Model ($PCM$) of Gupta and collaborators based on the Quantum Mechanical Fragmentation Theory. The key point in the cluster radioactivity is that it involves the interplay of close shell effects of parent and daughter. Small half life for a parent indicates shell stabilized daughter and long half life indicates the stability of the parent against the decay. In the cluster decay of trans lead nuclei observed so far, the end product is doubly magic lead or its neighbors. With this in our mind we have extended the idea of cluster radioactivity. We investigated decay of different nuclei where Zirconium is always taken as a daughter nucleus, which is very well known deformed nucleus. The branching ratio of cluster decay and $\alpha$-decay is also studied for various nuclei, leading to magic or almost doubly magic daughter nuclei. The calculated cluster decay half-life are in well agreement with the observed data. First time a possibility of cluster decay in $^{218}U$ nucleus is predicted