Changes in the protein content of Lamellidens marginalis from Jayakwadi dam at paithan during different seasons (M.S) India

In the present study, variation in the protein content in soft body tissues of Lamellidensmarginalis were collected from Jayakwadi dam, at Paithan near Aurangabad was observed during different seasons. As variation in the environmental conditions, it shown an effect on protein contents in the tissues like, mantle, hepatopancreas, gonad and foot. Protein content maximum found in gonads throughout all the three seasons, whereas mantle shows minimum values of protein. There are great fluctuations in the values of protein during different seasons

Air-Cooling and Heating Systemfor Tiger in Zoo using Earth Tube Heat Exchanger

A specially designed air-cooling (and heating) system using Earth Tube Heat Exchanger (ETHE) was installed in the dwelling of a 15-year old white tiger (Panthera tigris) named Mahesh at Kamala Nehru Zoological Garden, Ahmedabad (India) in October 2000. This was done to alleviate the stresses experienced by Mahesh in summer, which is long and hot; and in winter nights, which can be quite cold. Summer temperatures in Ahmedabad remain around 40oC for a long time and can reach as high as 45oC. Night temperatures in winter can drop to 10oC or below. The system does both--provide cooling in summer and warming in winter. In winter the system warms up the ambient (cold) air by as much as 10oC at night. In summer the system cools the ambient (hot) air also by as much as 8 - 10oC during the day.

Evaluation of anticonvulsant activity of angiotensin receptor antagonists in an animal model

Background: Epilepsy is common chronic disorder in clinical practice and there was some studies which shows brain renin angiotensin system may be involved in upregulation of seizures hence present study was planned to investigate whether angiotensin II AT1 receptor antagonists possess anticonvulsant activity in experimental animals.Methods: The anticonvulsant activity of angiotensin receptor antagonists, losartan (50 mg/kg), telmisartan (30 mg/kg) and candesartan (20 mg/kg), were administered intraperitoneally to the mice and evaluated by using maximum electroshock (MES) and pentylenetetrazol induced seizures (PTZ) seizure methods. The standard was taken as phenytoin for MES and diazepam for PTZ method. Motor impairment of performance was assessed by the inverted screen test and spontaneous motor activity with digital actophotometer.Results: Losartan demonstrated the anticonvulsant efficacy in MES and PTZ models. Telmisartan and candesartan have anticonvulsant activity in MES induced seizures, but did not show protection against pentylenetetrazol induced seizures. Losartan at dose 50 mg/kg prolonged the mean latency to convulsion (p<0.01) and mean number of convulsions also significantly reduced (p<0.05) convulsions in the mice. Telmisartan and candesartan at dose 30 mg/kg and 20 mg/kg respectively showed significant prolongation in mean latency to convulsion (p<0.05). None of the test drugs i.e. angiotensin receptor antagonists showed significant motor impairment.Conclusions: Angiotensin receptor antagonists: losartan, telmisartan and candesartan had showed anticonvulsant activity in PTZ and MES seizure methods. The exact mechanism of action of their anticonvulsant action not precisely known and hence there is more studies need to test it in various other animal anticonvulsant models

A Comparative study of Accrediting Bodies in India with respect to Higher Institutes

The Quality of education in India is a issue of concern due to large number of Institutes starting their courses in the Country. Various bodies are set up to check the quality of education in higher educational Institutes. The study is related with comparing the quality parameters of various accrediting bodies in India and suggest best way to make these Institutes best in quality . These Institutes are playing the important role in quality management. The Higher educational Institutes are now trying hard to manage and maintain quality at levels of educational activities. The awareness of quality in higher education has forced the Institutions to go for accreditation from different bodies. The accreditation has proved to be the measure of quality and students community is asking grade of the Institute before taking admission in to the courses in the country. The strict polices, scales, parameters to grade the Institutes is the challenge before these agencies. The main focus of this paper is to study the procedure of the accreditation and their requirements. The Quality is important factor to study . The parameters used to measure the quality. The Authors have done the extensive study on NAAC procedure for accreditation of the Institutes. The comparative study of quality parameters followed by NAAC, ISO and NBA are tabulated in the paper and its results are highlighted. The accrediting bodies have main role to play in coming years to accredited maximum Institutions in India and bring quality awareness among these Institutions. The Quality has number of parameters to check

Integrating Multimodal Data For Enhanced Analysis And Understanding: Techniques For Sentiment Analysis And Cross-Modal Retrieval

In today's dynamic digital landscape, the prevalence of multimedia content across various platforms underscores the importance of advanced techniques for analyzing data across diverse modalities. This paper explores the integration of text data with other modalities such as images, videos, and audio to enable comprehensive analysis and understanding. Specifically, the focus is on investigating methods for sentiment analysis in multimedia content and facilitating cross-modal retrieval. The paper addresses the challenges and opportunities in multimodal analysis, reviews existing techniques, and proposes novel methods for enhancing sentiment analysis and cross-modal retrieval through multimodal fusion and deep learning architectures. The challenges inherent in multimodal analysis include data heterogeneity, semantic gap, modality imbalance, and scalability. These challenges necessitate the development of robust techniques for multimodal fusion, feature representation, and cross-modal mapping. Existing methods, including early fusion, late fusion, and hybrid fusion techniques, are reviewed, alongside recent advancements in deep learning-based multimodal fusion architectures. Proposed methodologies aim to augment sentiment analysis and cross-modal retrieval through innovative multimodal fusion techniques and deep learning architectures. Experimental evaluations validate the effectiveness of the proposed methods in improving sentiment analysis accuracy and cross-modal retrieval performance. This research contributes to advancing techniques for analyzing and understanding multimedia content in the increasingly complex digital landscape, facilitating enhanced data-driven insights and decision-making processes across various domains

Data Mining to Support Engineering Design Decision

The design and maintenance of an aero-engine generates a significant amount of documentation. When designing new engines, engineers must obtain knowledge gained from maintenance of existing engines to identify possible areas of concern. Firstly, this paper investigate the use of advanced business intelligence tenchniques to solve the problem of knowledge transfer from maintenance to design of aeroengines. Based on data availability and quality, various models were deployed. An association model was used to uncover hidden trends among parts involved in maintenance events. Classification techniques comprising of various algorithms was employed to determine severity of events. Causes of high severity events that lead to major financial loss was traced with the help of summarization techniques. Secondly this paper compares and evaluates the business intelligence approach to solve the problem of knowledge transfer with solutions available from the Semantic Web. The results obtained provide a compelling need to have data mining support on RDF/OWL-based warehoused data

Advancements in Prostate Cancer Imaging: Implications for Diagnosis and Treatment

The diagnostic and therapeutic approaches for prostate cancer have been completely transformed by the developments in imaging technology. The development of imaging modalities, such as positron emission tomography (PET) and multiparametric magnetic resonance imaging (mpMRI), is examined in this overview, with an emphasis on the diagnostic value of each and the consequences for treatment choices. These methods help with risk assessment and biopsy guiding by providing improved sensitivity and specificity in the detection and characterization of prostate lesions. Focal treatment and image-guided radiation therapy are two examples of imaging-guided therapies that take advantage of accurate lesion location to maximise therapeutic methods and minimise adverse effects. Furthermore, even at lower prostate-specific antigen (PSA) levels, the incorporation of new molecular imaging tracers—in particular, PSMA ligands—has revolutionised staging accuracy and treatment response evaluation. Notwithstanding these developments, standardisation, affordability, and accessibility issues still exist, impeding wider use. It is important to tackle these obstacles in order to guarantee fair and consistent imaging procedures. Prospective avenues for advancement include the utilisation of cutting-edge technology such as artificial intelligence (AI) to enhance diagnostic precision and customise treatment plans. This thorough analysis highlights the revolutionary effects of cutting-edge imaging modalities on the treatment of prostate cancer and highlights the necessity of teamwork in order to overcome obstacles and improve patient care pathways

Preference for utilization of drug information sources among postgraduate medical residents

Background: Drug use information is vital for ensuring rationale and safe drug therapy. Physician across the globe use different sources of drug information during their routine practice. Postgraduate residents are in their interim-phase of education, research and clinical exposure. They are exposed to vast array of authentic and non-authentic drug information due to technology advancements and interaction with peers and medical representatives. There exists paucity in literature on their preference and drug information pattern. Therefore, this study was conducted to find out their preference for drug information sources.Methods: The present study was prospective, observational, questionnaire-based survey. The study was conducted between March 2017 and April 2017. The study included postgraduate medical residents pursing speciality courses at a tertiary care teaching hospital in Navi-Mumbai. Data was compiled and analysed in Microsoft excel.Results: Majority postgraduate residents preferred Non-electronics source for drug information. Text books (84%) were commonly preferred followed by medical journals in Non-electronic sources while internet-websites (76%) followed by e-journals and e-books were preferred in electronic sources. Majority preferred non-electronic sources for drug pharmacology and adverse reactions while electronic was preferred for indication, interaction, cost and therapy guidelines. For information on new drugs, majority preferred journals (71%) and websites (64%). Lack of time, source knowledge and high cost were perceived limiting factors for drug information.Conclusions: Postgraduate residents have varied preferences for drug information resources. Internet websites poses a challenge for authentic drug information. Interventions in the form of continuous medical education are required to improve their information-seeking behaviours.

Isolation, Screening and Characterization of Exopolysaccharide Producing Pseudomonas Sp. from The Soil Sample

&nbsp; Exopolysaccharides (EPS) are vital metabolites that specific environmental microorganisms produce and expel. The goal of the current investigation is to identify bacteria that produce exopolysaccharides in soil samples from the Buttenath Dam region, At. Chanai, Tq. Ambajogai, Dist. Beed situated in the Marathwada region of Maharashtra, India. Two methods, such as gravimetric analysis of exopolysaccharide dry weight and quantification as, instance, for total carbohydrate content using phenol sulphuric acid technique, were used to screen the EPS-producing capacities of the chosen isolates. Post preliminary screening by selecting thick, ropy-like colony formers on agar medium, the results showed that thirteen (13) distinct colonies were marked to manufacture EPS. Tentative identification of these isolates was done based on morphological and biochemical tests. Three (03) isolates, VJ001, VJ003 and VJ010, were identified through secondary screening as the most effective EPS producers (producing precipitates over 1.46 mg/L of total dry weight and 8). This was in comparison to other bacterial colonies that were also isolated. Out of these screened isolates, VJ003 was the isolate with the highest exopolysaccharide produced and this isolated bacterium was identified using 16S rRNA gene sequence and phylogeny study as Pseudomonas aeruginosa VJ003 with NCBI GeneBank accession no. OR196093. The Pseudomonas aeruginosa VJ003 strain can be used in biotechnological sectors because of the ability it has to create significant levels of exopolysaccharides, according to the results of the current study