Active Contour-Based Visual Tracking by Integrating Colors, Shapes, and Motions Using Level Sets

Using a camera,the visual object tracking is one of the most important process in searching the spot of moving object over the time. In the case of the object moves fast relative to the frame rate,the visual object tracking is difficult task. The active contour evolution algorithm which is used for the tracking of object in a given frame of an image sequence. Active contour based visual object tracking using the level sets is proposed which does not consider the camera either stationary or moving. We present a framework for active contour-based visual object tracking using the level sets. The main components of our framework consist of the contour-based tracking initialization, colour-based contour evolution, the adaptive shape-based contour evolution for the non-periodic motions, the dynamic shape-based contour evolution for the periodic motions and handling of the abrupt motions. For the contour-based tracking initialization, we use an optical flow-based algorithm for the automatically initializing contours at the first frame. In the color-based contour evolution, we use Markov random field theory to measure correlations between values of the neighboring pixels for the posterior probability estimation.In the adaptive shape-based contour evolution, we combined the global shape information and the local color information to hierarchically develop gradually the contour, and a flexible shape updating model is made. In the dynamic shape based contour evolution, a shape mode transition matrix is gain to characterize the temporal correlations of the object shapes. In the handling of abrupt motions, particle swarm optimization (PSO) is used to capture the global motion which is applied to the contour in the current frame to produce an initial contour in the next frame. DOI: 10.17762/ijritcc2321-8169.15013

Neonatal outcome in randomized controlled trial of low dose oral misoprostol in comparison with intracervical Dinoprostone gel for labour induction

Background: Induction of labour is a therapeutic option when the benefits of delivery outweigh risks of continuing pregnancy. There are several agents for induction of labour to achieve better outcome of labour. Acceptable methods for induction are oxytocin infusion, dinoprostone gel, misoprostol and mechanical cervical dilators. Prostaglandins are the preferred choice in unripened cervix. To study the neonatal outcome in induction of labour with low dose oral misoprostol compared with intracervical dinoprostone gel and also to assess occurrence of meconium staining liquor.Methods: One hundred women with single live fetus, term gestation, cephalic presentation, reactive fetal heart pattern and Bishops score <6 were included in the study. They were randomized to receive either 6 doses of 25ug oral misoprostol every 3rd hourly or 0.5ug intracervical dinoprostone every 6th hourly for a maximum of 3 doses. Oxytocin was administered. Fetal outcome was assessed in terms of APGAR score, meconium staining and need for NICU.Results: Meconium stained amniotic fluid was high in misoprostol group (16%) compared to dinoprostone group (8%). NICU admissions were seen in 7 neonates in both groups.Conclusions: Low dose oral misoprostol is a safe method of labour induction. APGAR and NICU admission rates were comparable in both groups. Meconium staining was more in misoprostol group compared to dinoprostone group

Randomized control trial of low dose oral misoprostol compared with intracervical dinoprostone gel for cervical ripening

Background: Induction of labour is a therapeutic option when the benefits of delivery outweigh risks of continuing pregnancy. There are several agents for induction of labour to achieve better outcome of labour. Acceptable methods for induction are oxytocin infusion, dinoprostone gel, misoprostol and mechanical cervical dilators. Prostaglandins are the preferred choice in unripened cervix. Objective of this study was to compare efficacy, safety of low dose oral misoprostol compared with intracervical dinoprostone gel for cervical ripening.Methods: One hundred women with single live fetus, term gestation, cephalic presentation, reactive fetal heart pattern and Bishops score &lt;6 were included in the study. They were randomized to receive either 6 doses of 25ug oral misoprostol every 3rd hourly or 0.5ug intracervical dinoprostone every 6th hourly for a maximum of 3 doses.Results: Bishops score improvement after 6,12,18 hours in both the groups was statistically insignificant. Induction delivery interval was11.96±5.88 for misoprostol and 10.95±4.58 in dinoprostone group with P value 0.341 which was statistically insignificant. Need for oxytocin augmentation was less (18%) in misoprostol group as compared to dinoprostone group (44%). Caesarean section rate was slightly higher in misoprostol group (26% vs 24%). Meconium stained amniotic fluid was high in misoprostol group (16%) compared to dinoprostone group (8%). Maternal complications were minimal and neonatal outcome was good in both the groups.Conclusions: Compared to dinoprostone; misoprostol is easy to store, cost effective, stable at room temperature, can be easily administered and had better patient compliance and acceptability. It was found to be a better cervical ripening agent with similar maternal and fetal safety profile

Data Mining and Social Media for promotion and marketing in the Aerospace Industry

Data mining and social media is an innovative platform for the aerospace industry to focus, promote and market the industry in the upcoming economy. Data mining techniques allow the industry to build a comprehensive system that helps to make intelligent management decisions in a formal system. On the other hand Social Media is used as a tool to ensure maximum return by entering a hybrid media landscape, one where the rapid growth of Social Media complements and enhances the efficiency of the industry. By using trend analysis this research would showcase benefits that the industry will achieve by increasing their profit margins and market competiveness. This research mainly focuses on supporting the aerospace industry to build trust among customers and meeting demand specifications by using data mining techniques and social media platform

The antipsychotic activity of alcoholic extract of Withania coagulans fruits in Swiss albino mice

Background: Schizophrenia is one of the most distressing central nervous system (CNS) disorders. It is described by positive, negative and cognitive symptoms. These symptoms can be controlled by the antipsychotic medicines. The numerous antipsychotic medications used today are not lacking the adverse drug reactions. The Withania coagulans a susceptible species, is not explored much for its CNS effects except in late seventies. Therefore, it was thought worthwhile to investigate anti-psychotic activities of alcoholic extract of Withania coagulans fruits. The objective of the present study was to assess the antipsychotic activity of alcoholic extract of Withania coagulans fruits in Swiss albino mice by Cook’s Pole Climb Apparatus for conditioned avoidance response (CAR)Methods: Cook’s Pole Climb Apparatus for conditioned avoidance response was used for assessing the antipsychotic activity of the alcoholic extract of 200mg/kg, 500mg/kg and 1000mg/kg doses of Withania coagulans fruits.Results: There was statistically (p-value >0.05) no significant association between any of the 200mg/kg, 500mg/kg and 1000mg/kg doses of the alcoholic extracts of Withania coagulans fruits with antipsychotic activity in Swiss albino mice.Conclusions: Withania coagulans fruits alcoholic extract did not demonstrate antipsychotic activity in Swiss albino mice under standard conditions

The spontaneous motor activity of aqueous extract of Withania coagulans fruits in Swiss albino mice by actophotometer

Background: People spend about one third of their time in sleep every day. The various sedative and hypnotic medications used today have numerous side effects. In the late seventies a very little work was done on the Withania coagulans - a vulnerable species that is found scattered in the world. Therefore, it was essential to discover the CNS depressant activities of aqueous extract of Withania coagulans fruits in swiss albino mice by using actophotometer.Methods: The spontaneous locomotor activity was evaluated by using the actophotometer. The CNS depressant drugs decrease the locomotor activity in mice as they impair the motor coordination so that mice stay at one place for the longer time. Therefore, there is less disruption of the beams of light. This spontaneous locomotor activity time is statistically correlated among the control, standard and the test drugs.Results: There was statistically highly significant (p value <0.001) association observed between aqueous extract of Withania coagulans fruits with spontaneous locomotor activity in swiss albino mice on the actophotometer.Conclusions: The aqueous extract of Withania coagulans fruits demonstrated the CNS depressant activity in swiss albino mice by actophotometer

Machine Learning-Enhanced Advancements in Quantum Cryptography: A Comprehensive Review and Future Prospects

Quantum cryptography has emerged as a promising paradigm for secure communication, leveraging the fundamental principles of quantum mechanics to guarantee information confidentiality and integrity. In recent years, the field of quantum cryptography has witnessed remarkable advancements, and the integration of machine learning techniques has further accelerated its progress. This research paper presents a comprehensive review of the latest developments in quantum cryptography, with a specific focus on the utilization of machine learning algorithms to enhance its capabilities. The paper begins by providing an overview of the principles underlying quantum cryptography, such as quantum key distribution (QKD) and quantum secure direct communication (QSDC). Subsequently, it highlights the limitations of traditional quantum cryptographic schemes and introduces how machine learning approaches address these challenges, leading to improved performance and security. To illustrate the synergy between quantum cryptography and machine learning, several case studies are presented, showcasing successful applications of machine learning in optimizing key aspects of quantum cryptographic protocols. These applicatiocns encompass various tasks, including error correction, key rate optimization, protocol efficiency enhancement, and adaptive protocol selection. Furthermore, the paper delves into the potential risks and vulnerabilities introduced by integrating machine learning with quantum cryptography. The discussion revolves around adversarial attacks, model vulnerabilities, and potential countermeasures to bolster the robustness of machine learning-based quantum cryptographic systems. The future prospects of this combined field are also examined, highlighting potential avenues for further research and development. These include exploring novel machine learning architectures tailored for quantum cryptographic applications, investigating the interplay between quantum computing and machine learning in cryptographic protocols, and devising hybrid approaches that synergistically harness the strengths of both fields. In conclusion, this research paper emphasizes the significance of machine learning-enhanced advancements in quantum cryptography as a transformative force in securing future communication systems. The paper serves as a valuable resource for researchers, practitioners, and policymakers interested in understanding the state-of-the-art in this multidisciplinary domain and charting the course for its future advancements

Systematic review of adverse drug reactions of ofloxacin

Adverse drug reactions (ADRs) are a major cause of morbidity and mortality in countries having limited healthcare resources. Of all the Adverse Drug Reactions, antimicrobials contribute 28% which is highest compared to the other drugs. Ofloxacin is an antimicrobial used for treating several bacterial infections. Incidence rate of adverse drug reactions (ADRs) to ofloxacin is 4.27%. Although these figures appear to be small, it is consumed for gastrointestinal infections along with ornidazole in India contributing significant burden of ADRs. However, there is no research done in past many years focusing on the adverse drug reactions of ofloxacin. This article bridges the gap of such a need. The objective of the present study was to review the adverse drug reactions related to ofloxacin in human and animal studies. Authors conducted Pubmed and Cochrane library search to review all the articles related to the adverse drug reaction of ofloxacin from 1980 to 2016. Authors got 84 articles pertaining to the adverse drug reactions of ofloxacin. Authors conclude that ofloxacin should be judiciously used as the side effect profile is increasing.

The antianxiety activity of aqueous extract of Withania coagulans fruits in swiss albino mice by elevated plus maze

Background: Several anti-anxiety drugs used today have the numerous side effects. The Withania coagulans a rare species, is not studied much for its actions on anxiety except in late seventies where it was explored for neuropsychopharmacology. Thus, it was thought commendable to explore the anti-anxiety activities of aqueous extract of Withania coagulans fruits in swiss albino mice using elevated plus maze test.Methods: Elevated plus maze (EPM) test was used for evaluating the anti-anxiety action of Withania coagulans fruits’ aqueous extract. If the extract had anti-anxiety action, then it was expected that the time spent in the open space would increase and that in the closed space would decrease. This increase in time in the open space, if found statistically significant, was considered for antianxiety action.Results: There was statistically highly significant (p value <0.001) association observed between the aqueous extract of Withania coagulans fruits with antianxiety action in the swiss albino mice by elevated plus maze test.Conclusions: The aqueous extract of Withania coagulans fruits did prove the antianxiety effect in the swiss albino mice by elevated plus maze test

COMPARATIVE STUDY OF TADAGJAL (ARTIFICIAL LAKE WATER) AND HANSODAKA (NATURALLY PURIFIED WATER IN SHARAD RITU) FROM THE SAME TADAG WITH RESPECT TO CHEMICAL PROPERTIES

Ayurveda is an ancient science dealing with attaining health and curing diseases of ill. Good health makes our life happy. For that one has to take Wholesome of food which includes pure water also. We should always use the pure water to maintain health. Our Rishis have mentioned regarding Hansodaka in Samhitas. Hansodaka is purified water in Sharad ritu by natural resources like Sunrays, Moonrays and an additional effects of Agasti star rays at night and Kalprabhav of Sharad ritu. This Hansodaka is pure water and ideal for drinking purpose. So to check this statement of our Rishis, efforts are made here to compare such Hansodaka and simple Tadagjal in view of chemical properties, considering W.H.O. guideline in present era. Aims and Objective: To compare chemical properties of Simple Tadagjal and Hansodaka to check its suitability for drinking purpose. Materials and Methods: Total four samples were collected. Two were Simple Tadadjal and Two were Hansodaka. All Water samples were analyzed in standard laboratory for chemical properties. Reports were collected and analyzed. Results and Conclusion: Hansodaka is better than simple Tadagjal with respect to chemical properties. It may be due to combine effect of sunrays, moon rays and Agasti star rays in Sharad ritu. But Hansodaka is not suitable for drinking purpose as per W.H.O. guideline. it may be due to increased population, pollution, industrialization in present era as compared to ancient era. Hence we can say water purification by other methods is must in present era