1,053 research outputs found

    A study on Determinants of Dividend Policy and its Impact on Financial Performances: A Panel Data Analysis for Indian Listed Firms

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    Determination of the correct mix of dividend and retained earnings and its effect on profitability has been a subject of controversy in financial management literature. This paper seeks to contribute to the ongoing debate by examining the relationship between dividend payout policy and the financial performance of 60 firms listed on the National Stock Exchange between 2009-2018. The Return on Assets (ROA) served as a surrogate for the dependent variable, profitability, while the Dividend Pay-out ratio proxied for dividend policy and was the only explanatory variable. Control variables include firm size, asset tangibility, and leverage. Regression result reveals a positive and significant relationship between dividend payout policy (DPO) and firm performance (ROA). It is recommended that companies should endeavor to put in place a robust dividend payout policy that would encourage investment in projects that give positive Net Present Value

    Modeling and mechanical perturbations reveal how spatially regulated anchorage gives rise to spatially distinct mechanics across the mammalian spindle

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    During cell division, the spindle generates force to move chromosomes. In mammals, microtubule bundles called kinetochore-fibers (k-fibers) attach to and segregate chromosomes. To do so, k-fibers must be robustly anchored to the dynamic spindle. We previously developed microneedle manipulation to mechanically challenge k-fiber anchorage, and observed spatially distinct response features revealing the presence of heterogeneous anchorage (Suresh et al. 2020). How anchorage is precisely spatially regulated, and what forces are necessary and sufficient to recapitulate the k-fiber's response to force remain unclear. Here, we develop a coarse-grained k-fiber model and combine with manipulation experiments to infer underlying anchorage using shape analysis. By systematically testing different anchorage schemes, we find that forces solely at k-fiber ends are sufficient to recapitulate unmanipulated k-fiber shapes, but not manipulated ones for which lateral anchorage over a 3 μ\mum length scale near chromosomes is also essential. Such anchorage robustly preserves k-fiber orientation near chromosomes while allowing pivoting around poles. Anchorage over a shorter length scale cannot robustly restrict pivoting near chromosomes, while anchorage throughout the spindle obstructs pivoting at poles. Together, this work reveals how spatially regulated anchorage gives rise to spatially distinct mechanics in the mammalian spindle, which we propose are key for function

    Nitrobenzene poisoning with methemoglobinemia

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    Nitrobenzene is a rarely encountered poison in clinical practice. Methemoglobinemia associated with the poisoning can be fatal. Early identification of methemoglobinemia and treatment with methylene blue and supportive measures can prevent mortality. However, hemolysis can be an outcome of treatment with methylene blue. Here, we report the case of nitrobenzene poisoning in a 35-year-old male which was treated successfully

    A cross-sectional study on quality of life among acne vulgaris patients

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    Background: In India, prevalence data from dermatology clinic in a teaching hospital in Varanasi reported acne in 50.6% of boys and 38.13% of girls in the age group 12-17 years. Though it is considered to be merely a cosmetic problem, it is associated with considerable psychological impairment which is comparable with certain chronic diseases. Acne patients are prone to low self-esteem, low self-confidence and social dysfunction which may lead to anxiety, depression, obsessive compulsiveness and sometimes suicidal ideation. Acne affects the functional abilities of individuals and patients have higher rate of unemployment when compared to those without acne. Acne also may have negative impact on personal relationships, sports activities and employment opportunities in teens and young adults. The management of acne must take into account the impact of acne on the patient’s quality of life. So the present study was carried out to determine the impact of acne and its clinical severity on quality of life among patients of different grades of acne patients in various age groups.Methods: The current cross sectional study was conducted in Patients diagnosed as acne vulgaris attending OPD of PCMS and RC Bhopal (India) in department of dermatology for a period of 2 year. (November 2012 – October 2014). 300 patients attending the Dermatology OPD with diagnosis of acne vulgaris were taken for the study. Patients aged 16 -35 years were included in our study. A detailed history was taken after obtaining consent from all the participants of study. Cardiff Acne disability index (CADI) and Dermatology life quality index (DLQI) were administered on patients to determine the impact of acne vulgaris on quality of life (QOL). Data was analyzed to compare the quality of life indices (CADI and DLQI) for duration and severity of acne.Results: Mean age of study population was 20.69 years. There was a male preponderance with ratio of 1.04:1 (M:F). According to this study 49% of patients had acne vulgaris for less than 1year. In present study maximum number 63.7% of patients presented with lesions over face followed by 14.7% of patients having lesions over face and back. According to DLQI scores of acne showed no effect in 4.3% of the patients, small effect in 26.3% of the patients, moderate effect in 38.7% of patients, very large effect in 29% of patients and extremely large effects on 1.7% of patients. According to CADI scores of acne showed low effect in 31.3% of the patients, majority had medium effect in 56.7% of patients and high effect was seen on 12 % of patients.Conclusions: Overall our study showed that quality of life is significantly impaired in patients of severe acne vulgaris. Use of these simple QOL measures as a part of integral clinical strategy will improve the outcome

    The effect of amlodipine on blood glucose level and its interaction with oral hypoglycemic drugs in albino rabbits

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    Background:  Amlodipine used as many cardiac conditions esp in hypertension. Diabetes affects cardiovascular system adversely. So this study was done to see effect of amlodipine on blood glucose level and its interaction with commonly used oral hypoglycemic agents in diabetic & non diabetic albino rabbits. Methods: Rabbits were divided into nine groups of 6 rabbits in each group. I and II group were non-diabetic given normal saline and amlodipine respectively. Group III to IX were made diabetic by using alloxan monohydrate (150mg/kg i.p.) & given normal saline, glimepiride, metformin, pioglitazone, amlodipine + glimepiride, amlodipine + metformin and amlodipine + pioglitazone respectively. All drugs were given orally once daily for 7 day except group VII, VIII and IX in which glimepiride, metformin and pioglitazone were added on 7th day. After GTT blood glucose level were measured at 0, 1, 2 and 6 hours on 7th day in all groups by using spectrophotometer. Results: After 7 days of treatment the amlodipine produced significant hyperglycemia in normal rabbits. Amlodipine on combination, causes significant decreased in hypoglycemic effect of glimepiride, significant increased the hypoglycemic effect of metformin, while no significant changes in hypoglycemic effects of pioglitazone in diabetic rabbits. Conclusion: The present study shows that amlodipine causes hyperglycemia in normal rabbits. Amlodipine significantly altered hypoglycemic effect of glimepiride and metformin as compared to control group. If these finding are true to human beings then amlodipine should be use cautiously in diabetic patient on oral hypoglycemic drugs

    Metastatic Bilateral Malignant Ovarian Tumors Associated with Pregnancy

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    SummaryObjectiveKrukenberg tumors in pregnancy are extremely rare. Only three cases have been reported, two of which were diagnosed postpartum.Case ReportA 20-year-old, primigravida with bilateral malignant ovarian tumors, who received no prior antenatal care, was presented with intestinal obstruction at 5 months' gestation. Pregnancy was preserved, and bilateral oophorectomy, omentectomy with resection of sigmoid colon growth, and colostomy were performed. The patient aborted spontaneously and postoperatively, and was treated with adjuvant chemotherapy.ConclusionBecause platinum-based chemotherapy can be safely given during pregnancy, hysterectomy can be avoided in cases of bilateral malignant ovarian tumors if the uterus is not grossly involved, so allowing preservation of an existing pregnancy

    Analyze Different approaches for IDS using KDD 99 Data Set

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    the integrity, confidentiality, and availability of Network security is one of the challenging issue and so as Intrusion Detection system (IDS). IDS are an essential component of the network to be secured. Intrusion detection is the process of monitoring and analyzing the events occurring in a computer system in order to detect signs of security problems. Intrusion detection includes identifying a set of malicious actions that compromise information resources. Traditional methods for in trusion detection are based on extensive knowledge of signatures of known attacks . In the last three years, the networking revolution has finally come of age. More than ever before, we see that the Internet is changing computing, as we know it. The possibilities and opportunities are limitless; unfortunately, so too are the risks and chances of malicious intrusions There are two primary methods of monitoring these are signature - based and anomaly based. In this paper is to analyze different approaches of IDS . Some approach belongs to supervised method and some approach belongs to unsupervised method

    Social distance and face mask detector system exploiting transfer learning

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    As time advances, the use of deep learning-based object detection algorithms has also evolved leading to developments of new human-computer interactions, facilitating an exploration of various domains. Considering the automated process of detection, systems suitable for detecting violations are developed. One such applications is the social distancing and face mask detectors to control air-borne diseases. The objective of this research is to deploy transfer learning on object detection models for spotting violations in face masks and physical distance rules in real-time. The common drawbacks of existing models are low accuracy and inability to detect in real-time. The MobileNetV2 object detection model and YOLOv3 model with Euclidean distance measure have been used for detection of face mask and physical distancing. A proactive transfer learning approach is used to perform the functionality of face mask classification on the patterns obtained from the social distance detector model. On implementing the application on various surveillance footage, it was observed that the system could classify masked and unmasked faces and if social distancing was maintained or not with accuracies 99% and 94% respectively. The models exhibited high accuracy on testing and the system can be infused with the existing internet protocol (IP) cameras or surveillance systems for real-time surveillance of face masks and physical distancing rules effectively

    A Review Approach on various form of Apriori with Association Rule Mining

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    Data mining is a computerized technology that uses complicated algorithms to find relationships in large databases Extensive growth of data gives the motivation to find meaningful patterns among the huge data. Sequential pattern provides us interesting relationships between different items in sequential database. Association Rules Mining (ARM) is a function of DM research domain and arise many researchers interest to design a high efficient algorithm to mine ass ociation rules from transaction database. Association Rule Mining plays a important role in the process of mining data for frequent pattern matching. It is a universal technique which uses to refine the mining techniques. In computer science and data min ing, Apriori is a classic algorithm for learning association rules Apriori algorithm has been vital algorithm in association rule mining. . Apriori alg orithm - a realization of frequent pattern matching based on support and confidence measures produced exc ellent results in various fields. Main idea of this algorithm is to find useful patterns between different set of data. It is a simple algorithm yet having man y drawbacks. Many researches have been done for the improvement of this algorithm. This paper sho ws a complete survey on few good improved approaches of Apriori algorithm. This will be really very helpful for the upcoming researchers to find some new ideas from these approaches. The paper below summarizes the basic methodology of association rules alo ng with the mining association algorithms. The algorithms include the most basic Apriori algorithm along with other algorithms such as AprioriTi d, AprioriHybrid

    A COMPARATIVE STUDY OF MIDAZOLAM, PROPOFOL AND DEXMEDETOMIDINE INFUSIONS FOR SEDATION IN MECHANICALLY VENTILATED PATIENTS IN ICU

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    Background: This study was aimed to compare the sedative properties of study drugs- midazolam, propofol and dexmedetomidine in critically ill patients with GCS of 12-15 on invasive mechanical ventilation. Methodology: This study was carried out in 75 adult patients with Glasgow coma scale score of 12-15, on mechanical ventilation. The study patients were divided into 3 groups with each group consisting of 25 patients- Group M received inj. Midazolam loading dose 0.15mg/kg intravenous followed by continuous infusion of 0.02-0.1mg/kg/hr, Group P received inj. Propofol loading dose 1.5mg/kg intravenous followed by continuous infusion of 1-6 mg/kg/hr and Group D received inj. Dexmedetomidine loading dose 1µg/kg intravenous followed by continuous infusion of 0.2-0.7 µg/kg/hr. All patients were given study drug infusion for 48 hours to achieve Richmond Agitation Sedation Scale Score 0 to -2. Assessment of RASS score, mean pulse rate, mean arterial pressure, total respiratory rate and SpO2 were monitored initially at 5 min interval after the loading dose is given, till 30 minutes, then at 1st hour and 2nd hour, then at 6th hour and 12th hour, then every 12th hour till 48 hour. Results: The mean pulse rate and mean arterial pressure decreased after giving loading dose in all three groups and it was more in dexmedetomidine group which continued to be significant till 20 and 30 minutes respectively. RASS remained in the target range of 0 to -2 in all the three groups throughout the sedation period of 48 hours by their infusion doses. Conclusion: With dexmedetomidine similar levels of sedation can be achieved as compared to propofol and midazolam. All the three drugs are equally efficacious in regard to cardiorespiratory stability in maintaining target sedation (RASS 0 to -2) in mechanically ventilated patients in ICU
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