A Multi-Objective Fuzzy Evolutionary Algorithm for Job Scheduling on Computational Grids

Scheduling jobs in grid computing is a challenging task. The job scheduling is a process of optimization of resource allocation for job completion in a optimum amount of time. There are various solutions like using dynamic programming, evolutionary algorithms etc., in literature. However, till date, no algorithm is found to be the best. This paper attempts a new job shop scheduling problem using a recent JAYA optimization algorithm. This work proposes a fuzzy based JAYA algorithm to minimize the makespan of the selected job scheduling problem. The main feature proposed is its simplicity due to the simple JAYA algorithm compared to other existing evolutionary algorithms. Experiments are conducted on four different data sets and the results are compared with other evolutionary and fuzzy based evolutionary algorithms. The proposed fuzzy based JAYA produced compatible results in terms of average makespan, flowtime and fitness

PHARMACEUTICO-ANALYTICAL STUDY OF ANILARI RAS: A HERBO MINERAL COMPOUND

Rasasastra is a branch of Ayurvedic medicine which deals with preparation of the drugs with metals and minerals having higher therapeutic efficacy with quick action in minute dose. Present preparation Anilari Ras is a herbo-mineral formulation used for treating all types of Vata disorders. This drug is a variety of Tamra bhasma (incinerated Copper) preparation processed with Shodit parad (Purified Mercury), Shodit Gandhak (Purified Sulphur), Shodit Tamra (Purified Copper) and Bhavana dravyas (liquids used for trituration) are Nirgundi patra swarasa (Vitex negundo Linn.),  Eranda mula kashaya (Ricinus communis Linn) and Citraka mula kashaya (Plumbago zeylanica Linn). Triturating Rasa drugs with herbal liquids (Bhavana) increases the efficacy of formulation. Puta in the preparation imparts Laghutva (easily assimilating) property, helps in particle reduction and facilitates nano particle formation which enhances rapid action of the medicine. The pharmaceutically developed drug was subjected for certain Analytical tests like Organoleptic, Physico-chemical, Scanning Electron Microscope (SEM), Energy- Dispersive X-ray Spectroscopy (EDS) and X-ray diffraction (XRD), with a view to standardize the formulation. The results show major peaks of Meta Cinnabar (HgS), Covellite (CuS) and minor peaks of Sulphur (S8). The Average grain size in SEM at 5K X is 218.4 nm and at 7K X is 210.0 nm

Improving Asynchronous Interview Interaction with Follow-up Question Generation

The user experience of an asynchronous video interview system, conventionally is not reciprocal or conversational. Interview applicants expect that, like a typical face-to-face interview, they are innate and coherent. We posit that the planned adoption of limited probing through follow-up questions is an important step towards improving the interaction. We propose a follow-up question generation model (followQG) capable of generating relevant and diverse follow-up questions based on the previously asked questions, and their answers. We implement a 3D virtual interviewing system, Maya, with capability of follow-up question generation. Existing asynchronous interviewing systems are not dynamic with scripted and repetitive questions. In comparison, Maya responds with relevant follow-up questions, a largely unexplored feature of irtual interview systems. We take advantage of the implicit knowledge from deep pre-trained language models to generate rich and varied natural language follow-up questions. Empirical results suggest that followQG generates questions that humans rate as high quality, achieving 77% relevance. A comparison with strong baselines of neural network and rule-based systems show that it produces better quality questions. The corpus used for fine-tuning is made publicly available

Bioanalytical Method Development and Validation of Memantine in Human Plasma by High Performance Liquid Chromatography with Tandem Mass Spectrometry: Application to Bioequivalence Study

A simple, sensitive, and rapid HPLC-MS/MS method was developed and validated for quantitative estimation of memantine in human plasma. Chromatography was performed on Zorbax SB-C18 (4.6 × 75 mm, 3.5 μm) column. Memantine (ME) and internal standard Memantine-d6(MED6) were extracted by using liquid-liquid extraction and analyzed by LC-ESI-MS/MS using multiple-reaction monitoring (MRM) mode. The assay exhibited a linear dynamic range of 50.00–50000.00 pg/ml for ME in human plasma. This method demonstrated an intra- and interday precision within the range of 2.1–3.7 and 1.4–7.8%, respectively. Further intra- and interday accuracy was within the range of 95.6–99.8 and 95.7–99.1% correspondingly. The mean recovery of ME and MED6 was 86.07 ± 6.87 and 80.31 ± 5.70%, respectively. The described method was successfully employed in bioequivalence study of ME in Indian male healthy human volunteers under fasting conditions

A New Technique to find the effect of Active Power Loading on Voltage Stability and Algorithm to improve Voltage Stability of Radial and Meshed Power Systems

This paper will analyze the impact of active power on voltage stability of radial and meshed systems and a new algorithm is proposed which would indicate the amount and location at which the active power is to be reduced to improve the voltage stability of entire power system or set of buses that are prone to voltage instability. A new sensitivity matrix named Active Power L-Index sensitivity matrix is been proposed. The proposed approach is simple and easy to be implemented into large power systems. The proposed approach has been applied to several Indian rural distribution networks and IEEE 14-bus test system which demonstrated applicability of the proposed approach. Index Terms- L-index matrix, Jacobian matrix, sensitivity, Active Power L-Index sensitivity matri

Search for physiologically active compounds. Part XI. Structure-fungistatic activity relationship among substituted 1:2-naphthoquinones

A few halo, nitro and methoxy substituted 1:2-naphthoquinones with the substituents in both the benzenoid and the quinonoid rings have been synthesised and evaluated for their fungistatic properties. Among the quinonoid compounds tested 3:4-dichloro-1:2-naphthoquinones exhibited the highest activity

A Comprehensive Survey of Convolutional Neural Networks for Skin Cancer Classification and Prediction

Skin cancer, a prevalent and potentially fatal condition, requires early detection and precise classification to ensure effective treatment. In recent years, there has been a significant rise in the popularity of Convolutional Neural Networks (CNNs) prominence as a robust solution for image processing and analysis, significantly surpassing conventional techniques in skin cancer prediction and classification. This survey paper offers a thorough examination of CNNs and their diverse applications in diagnosing skin cancer, emphasizing their benefits, existing obstacles, and potential avenues for future research

A FAST AND SENSITIVE SPECTROPHOTOMETRIC METHOD FOR THE DETERMINATION OF HYDRAZINE IN ATAZANAVIR SULFATE DRUG SUBSTANCE

Objective: To develop a fast and sensitive UV spectrophotometric method for the quantitative estimation of Hydrazine in Atazanavir Sulfate drug substances and validate as per ICH guidelines. Methods: The method was based upon the observation, that a characteristic colour results upon addition of a solution of p-Dimethylaminobenzaldehyde in ethyl alcohol and hydrochloric acid to hydrazine and estimated at absorbance maximum  458 nm in Atazanavir drug substance. Results: The developed method resulted in Hydrazine exhibiting linearity in the range 0.2 to 2.7 µg/g. The Intraday and interday precision is exemplified by relative standard deviation of 0.959 % and 0.947%. Percentage Mean recovery was found to be in the range of 97â€101%, during accuracy studies. The limit of detection (LOD) and limit of quantitiation (LOQ) were found to be 0.2 µg/g and 0.6 µg/g respectively. Conclusion: The present work was aimed to develop a visible spectrophotometric method, which is simple, sensitive, accurate and cost effective to evaluate the quality of the bulk and pharmaceutical formulations

Achievements of Soil Research in Dryland Regions of Andhra Pradesh

Not AvailableThe global rainfed crop lands were estimated at 1.132 billion hectares at the end of the last millennium. This is 2.78 times the net irrigated areas (407 m ha) of the world. Rainfed agro-ecosystems occupy a considerable place in Indian agriculture too, covering 80 million ha, in arid, semi-arid and sub-humid climatic zones; constituting nearly 58% of the net cultivated area. Rainfed regions support 60% of livestock, 40% of human population and contribute 40% of food grains and several special attribute commodities. Rainfed agro ecologies are complex, diverse, fragile, risky, under invested and require regionally differentiated investments and management strategies. Achieving high production potential is difficult in these rainfed areas due to vagaries of rainfall.Not Availabl