Study of seasonal variations of some physico-chemical characteristics of sina kolegoan dam at Osmanabad district (M.S.)

The present study designed to demonstrate the seasonal variations in Physico-chemical parameters of Sina kolegoan Dam from June 2009 to May 2010. Water samples were collected monthly basis and analyzed for estimation of water temperature, pH, Dissolved oxygen, free CO2, total alkalinity. The overall water quality of the study sites remained within the safe limits throughout the study period. An attempt has been made to explain the effect of seasonal changes on Physico-chemical characteristics of Sina kolegoan Dam.Â

Histopathological study of tapeworm infection in Mastacembalus armatus from Sina Kolegoan dam Osmanabad dist. (MS).

The histopathological study of the parasitized tissues of fishes of Sina Kolegoan dam was undertaken. The fish Mastacembalus armatus (Lecepede,1800) examined for gastrointestinal parasitic infections are Ptychobothridian cestode, Circumoncobothrium osmanabadensis. The histopathology of the fish tissues shows different pathological conditions. Histopathological study has been made to assess the extent of damage caused by the parasite. Histological changes include destruction and extrusion of the intestinal villi, fibroblast cell and plasma cell. It seems that the environment of the intestine is quite favourable for the worm Circumoncobothrium osmanabadensis.So the worm finds it easy to absorb the same through tegument for growth and nourishment

Occurrence of a new piscine tapeworm Senga govindii in Mastacembelus armatus (Lacepede, 1800) from Sina kolegoan Dam

The present communication deals with the occurrence of a new mammalian tapeworm Senga (Dollfus, 1934) govindii Sp. Nov. from Mastacembelus armatus (Lacepede, 1800) in Sina kolegoan Dam Osmanabad Dist.(M.S.). It comes closer to all the known species of the genus Senga but differs from all the known species of the genus in having in the shape and shape of the scolex, 45-50 hooks, mature segment three times broader than long, total number and arrangement of testes, position of cirrus pouch, vitellaria granular, Ovary is bilobed

Seasonal variations of zooplankton community in Sina Kolegoan Dam Osmanabad district, Maharashtra, India.

The plankton constitutes the basic food sources of any aquatic ecosystem, which supports fish and other aquatic animals. Zooplankton diversity is one of the most important ecological parameters in water quality assessment. Zooplanktons are good indicators of the changes in water quality because they are strongly affected by environmental conditions & respond quickly to changes in water quality. Zooplankton is the intermediate link between phytoplankton and fish. Hence qualitative and quantitative studies of zooplankton are of great importance.In the present work, we provide quantitative information on the seasonal variations of zooplankton and selected physico-chemical variables a large man-made reservoir in the Osmanabad district during the year June 2009- May 2010. In the study period we have recorded rotifers showed 5 species, Cladocera by 4 species and Copepods represents 2 species where as Ostracoda showed 2 species. Among zooplankton, particularly Cladocera was the dominant group

EFFECT OF CROSSLINKING AGENT ON DEVELOPMENT OF GASTRORETENTIVE MUCOADHESIVE MICROSPHERES OF RISEDRONATE SODIUMâ€

Objective: The present investigation was undertaken to develop and evaluate a gastroretentive mucoadhesive microspheres of anti-osteoporosis drug risedronate sodium to enhance the residence time and drug release by studying the effect of the crosslinking agent to obtain the best formulation with reduced particle size and good in vitro mucoadhesion strength.Methods: Selected drug risedronate sodium is a potent pyridinyl bisphosphonate used for the treatment of osteoporosis, and other bone disorders. Microspheres using sodium alginate as a polymer and calcium chloride solution as a cross-linker were prepared successfully by the emulsification crosslinking method. The 23 factorial design was used to study the effects of various variables like a drug: polymer ratio, crosslinking agent concentration and crosslinking time on the particle size and in vitro mucoadhesion strength. All these formulations were evaluated for entrapment efficiency, percentage yield and cumulative drug release. F1 batch was selected as best formulation and evaluated for scanning electron microscopy, fourier transforms infrared spectroscopy, differential scanning calorimetry, stability study.Results: Design batches were evaluated for percent yield (61.29-89.33%), % entrapment efficiency (42.25±0.620-62.58±0.330), mucoadhesion strength (68.15±0.37-82.24±0.72%) and drug release at 12 h (67-84%). Among the microspheres formulation, an F1 batch of (0.5:1) drug: polymer concentration and at 4% concentration of calcium chloride as a crosslinker was considered best formulation with reduced particle size 32.85±0.774μm, % intro mucoadhesion. 82.24±0.72. In vitro mucoadhesion strength was increased with the increasing crosslinking time from 5 min to 10 min. The fourier transform infrared spectroscopy (FTIR) and differential scanning calorimetry (DSC) study showed no interaction between drug and polymer. X-ray diffraction (XRD) spectrum of microspheres indicates that drug particles are dispersed at the molecular level in the polymer matrices so no indication of the crystalline nature of the drug nature. Scanning electron microscopic (SEM) study showed that microspheres were spherical in shape with a smooth surface. F1 batch shows percentage cumulative drug release 84.07%. In vitro dissolution studies indicates that percent cumulative drug release from microspheres follows zero order kinetics plot which indicates controlled-release drug-delivery for 12 h which leads to control of plasma concentration.Conclusion: The results show that the formulation that contains (0.5:1) drug: polymer ratio, calcium chloride in 4% concentration and crosslinking time 10 min is the best one and can be utilized to formulate risedronate sodium mucoadhesive microspheres to enhance gastric residence time, improved patient compliance and reduction in the frequency of drug administration

Data mining in computational finance

Computational finance is a relatively new discipline whose birth can be traced back to early 1950s. Its major objective is to develop and study practical models focusing on techniques that apply directly to financial analyses. The large number of decisions and computationally intensive problems involved in this discipline make data mining and machine learning models an integral part to improve, automate, and expand the current processes. One of the objectives of this research is to present a state-of-the-art of the data mining and machine learning techniques applied in the core areas of computational finance. Next, detailed analysis of public and private finance datasets is performed in an attempt to find interesting facts from data and draw conclusions regarding the usefulness of features within the datasets. Credit risk evaluation is one of the crucial modern concerns in this field. Credit scoring is essentially a classification problem where models are built using the information about past applicants to categorise new applicants as ‘creditworthy’ or ‘non-creditworthy’. We appraise the performance of a few classical machine learning algorithms for the problem of credit scoring. Typically, credit scoring databases are large and characterised by redundant and irrelevant features, making the classification task more computationally-demanding. Feature selection is the process of selecting an optimal subset of relevant features. We propose an improved information-gain directed wrapper feature selection method using genetic algorithms and successfully evaluate its effectiveness against baseline and generic wrapper methods using three benchmark datasets. One of the tasks of financial analysts is to estimate a company’s worth. In the last piece of work, this study predicts the growth rate for earnings of companies using three machine learning techniques. We employed the technique of lagged features, which allowed varying amounts of recent history to be brought into the prediction task, and transformed the time series forecasting problem into a supervised learning problem. This work was applied on a private time series dataset

Incidence of Helminth Parasites in Fresh Water Fishes from Sina Kolegoan Dam, Dist. Osmanabad (MS) India

This study was conducted to determine the incidence of helminth parasitic infections of Fresh water fishes from Sina kolegoan Dam, Dist. Osmanabad (MS). Total 286 samples of fresh water fishes were collected from different sites of Dam, during the month of June 2008 to May 2010. There were about 289 helminth parasites found in collected samples. The encountered parasitic species includes Senga spp., Circumoncobothrim spp., Azygia spp., Isoparorchis spp., Camallanus spp

Production and characterization of a thermo-pH stable pectinase from Bacillus licheniformis UNP-1: A novel strain isolated from Unapdev hot spring

670-677An efficient thermostable pectinase producer was isolated from the hot water spring of Unapdev and identified as Bacillus licheniformis UNP-1 using culture-dependent techniques by its morphological, microscopic, biochemical, physiological and molecular characteristics. Thermostable pectinase production was optimized in a submerged fermentation system using modified fermentation medium (MFM). The optimized components of MFM performed by changing one parameter at a time were pectinase defined liquid medium containing (g/L) 10 pure Pectin, 2.0 KH2PO4, 6.0 K2HPO4, 2.0 MgSO4·7H2O Optimized culture conditions were used for thermostable pectinase production. Bacillus licheniformis UNP-1 produced 55.2 U/mL of pectinase. Optimum pH and temperature for the production were 9 and 60 oC, respectively with 48 hours of incubation. The pectinase enzyme showed maximum activity at pH 11 and at 80 oC. Pectinolytic activity was the highest in the presence of Fe3+ metal ion. Optimum catalytic activity was recorded at substrate concentration of polygalacturonic acid of 3.5% after 90 min of incubation. The molecular mass of the dialyzed thermostable pectinase was 35 kDa. Partially purified pectinase enzyme was used for fruit juice extraction and clarification

Prediction of earnings per share for industry

Prediction of Earnings Per Share (EPS) is the fundamental problem in finance industry. Various Data Mining technologies have been widely used in computational finance. This research work aims to predict the future EPS with previous values through the use of data mining technologies, thus to provide decision makers a reference or evidence for their economic strategies and business activity. We created three models LR, RBF and MLP for the regression problem. Our experiments with these models were carried out on the real datasets provided by a software company. The performance assessment was based on Correlation Coefficient and Root Mean Squared Error. These algorithms were validated with the data of six different companies. Some differences between the models have been observed. In most cases, Linear Regression and Multilayer Perceptron are effectively capable of predicting the future EPS. But for the high nonlinear data, MLP gives better performance

Angiogenic effect of indigenous herbal extracts: Bombax Ceiba and Erythrina variegata

Angiogenesis is the process of formation of new vasculature; an important process in various pathological conditions. The study is focused on the screening of herbal plants targeting angiogenesis. The ethanolic extract of plant Bombax ceiba (EEBC) and Erythrina variegata (EEEV) were used. The experimental methods included regenerative angiogenesis assay in adult zebrafish and developmental angiogenesis assay in zebrafish embryos. For the regenerative angiogenesis assay, the regeneration of amputated fin length was evaluated. The adult zebrafishes were divided into 5 treatment groups of 8 fishes in each group. In developmental angiogenesis assay, various phenotype changes in embryos were observed. The embryos were divided into 5 groups with 12 embryos in each group. For both assays grouping was; group I vehicle control (DMSO), group II high dose of EEBC, group III low dose of EEBC, group IV high dose of EEEV and group V low dose of EEEV. The results of both the assays suggest that EEBC showed significant (p <0.05) pro-angiogenic activity while EEEV showed significant (p <0.05) anti-angiogenic activity. Therefore EEBC can prove beneficial in diseases related to insufficient angiogenesis like in management of wound healing while, EEEV in diseases related to excessive angiogenesis like management of cancer