Stability Constants of Chelates of Solochrome Dark Blue (Calcon) with La(III), Pr(III), Nd(III), Gd(III), Tb(III), Dy(III) & Ho(III)

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Modeling of Photovoltaic Array

Day-by-day the energy demand is increasing and thus the need for a renewable source that will not harm the environment are of prime importance. Some projections state that by 2050 the energy demand will triple. Yet majority of the energy requirements is satisfied by fossil fuels but by the use of photovoltaic systems could help in supplying the energy demands. In this project we have dealt with problem that persists with the modeling of photovoltaic device. The problem that various models of photovoltaic device face is the number of unknown parameters which are not mentioned in the datasheet. Various methods have been proposed in order to determine these unknown parameters. Basically, in this project, two of the proposed methods are being studied and then compared. This can give a brief idea to the manufacturers who design power electronics products about the easy-to-use modeling methods that can be used in simulation of photovoltaic arrays

Interpretive Structural Modelling for Challenging Issues in JIT Supply Chain: Product Variety Perceptive

The success of JIT in Japan inspired many organizations to adopt JIT to the supply chain in order to reduce the waste and cost. These organizations have to face inherent challenging issues and complexities while implementing JIT concepts in supply chain. The manufacturer must be in position to identify challenging issues, its consequences so as to design a robust and reliable supply chain accordingly otherwise the manufacturing system may not provide the desired results. The focus of this paper is on the significant challenging issues in JIT supply chain from product variety perspective. Some challenging issues act as driver for sustainable implementation of JIT supply chain. For adoption of JIT supply chain, significant issues must be identified, analysed and discussed. In this research, study factors are the challenging issues for sustainable JIT supply chain implementation. Authors have identified ten significant issues from literature review. The main objectives are to identify and rank the challenging issues for implementation, to develop and to analysed the interaction between identified challenging issues using ISM and to prepare a framework for successful JIT supply chain implementation

Adrenal sparing giant adrenal cyst excision by 3D laparoscopic approach: a case report

Adrenal cyst is rare clinical entity. Usually they are asymptomatic, non-functional, <10 cm in size and often discovered incidentally. We report a left adrenal cyst in 58-year-old woman measuring 23 cm in diameter, displacing left kidney infero-medially and pancreas anteriorly, because of its huge size. She presented with left flank pain over a 6-month period. Serial abdominal ultrasound and CT imaging revealed left suprarenal cystic mass of size 10 cm to begin with and gradually increased to size of 23 cm over period of 10 years when she became symptomatic. All laboratory and endocrine function tests were normal. 3D laparoscopic surgery done and cyst was completely removed with preservation of adrenal gland. Histopathological examination revealed a benign endothelial adrenal cyst. The postoperative course was uneventful and patient had no evidence of recurrence during follow-up. The giant adrenal cysts are relatively rare and represent great surgical challenge during resection.

Prolactin level in umbilical cord blood of newborn and its relation to respiratory distress syndrome

Background: Production of lower concentrations of prolactin in fetus is considered as one of the major contributor for the development of respiratory distress syndrome (RDS) in newborns considerably in pregnants with maternal complications. Hence the present study was conducted with the objective to measure the serum level of cord blood prolactin in normal pregnancy and in pregnancy with maternal complications and its association with development of RDS in newborn.Methods: In this prospective study of 100 women, 28 with normal pregnancy (Group A) and 72 with abnormal pregnancies (Group B) were included in the study. Umbilical cord blood was collected and serum prolactin level was estimated using radio-immuno assay. The obtained values were correlated with prevalence of RDS in neonates and maternal complications.Results: The average age of pregnant women participated in Group A was 26 years and Group B was 27 years. In Group A 2 babies with birth weight of 2001-3000 gm had a cord serum prolactin level of 216±137.8 ng/mL developed RDS. In Group B the level of prolactin was 285±276 and 326±132 ng/mL in 4 RDS babies with birth weight of <1000 gm and 1000-2000 gm respectively. It was observed that cord serum prolactin levels had no correlation with the mode of delivery, sex of newborn, steroid therapy. In Group A, 2 neonates developed RDS which were of gestational age between 32-35 weeks with mean prolactin level of 216 ng/ml, while in Group B, 1 neonate with gestational age less than 32 weeks and mean prolactin level of 480 and 4 neonates of 32-35 weeks with mean prolactin level of 266 ng/mL developed RDS. Out of 27 mothers with complications of PIH, 3 developed RDS. 1 case each from IUGR and twins developed RDS respectively.Conclusions: The risk of RDS is less in newborn with high prolactin level than in newborns with low prolactin levels. So prolactin might have a role in fetal lung maturation

Monitoring System for Traffic Analysis Using Twitter Stream

Social networks are often utilized as a supply of data for event detection like road holdup and automobile accidents. Existing system present a period of time observance system for traffic event detection from twitter. The system fetches tweets from twitter and then; processes tweets victimisation text mining techniques. Last performs the classification of tweets. The aim of the system is to assign the suitable category label to every tweet, whether or not it's associated with a traffic event or not. System utilized the support vector machine as a classification model. The projected system uses the system supported semi-supervised approach, which provides coaching victimisation traffic connected dataset. we have a tendency to propose a bunch approach for classification of the tweets in traffic connected and non- traffic connected tweets. We use a geometer distance to calculate the similarity between the tweets

Cascaded complementary filter architecture for sensor fusion in attitude estimation

Copyright: © 2021 by the authors. Attitude estimation is the process of computing the orientation angles of an object with respect to a fixed frame of reference. Gyroscope, accelerometer, and magnetometer are some of the fundamental sensors used in attitude estimation. The orientation angles computed from these sensors are combined using the sensor fusion methodologies to obtain accurate estimates. The complementary filter is one of the widely adopted techniques whose performance is highly dependent on the appropriate selection of its gain parameters. This paper presents a novel cascaded architecture of the complementary filter that employs a nonlinear and linear version of the complementary filter within one framework. The nonlinear version is used to correct the gyroscope bias, while the linear version estimates the attitude angle. The significant advantage of the proposed architecture is its independence of the filter parameters, thereby avoiding tuning the filter’s gain parameters. The proposed architecture does not require any mathematical modeling of the system and is computationally inexpensive. The proposed methodology is applied to the real-world datasets, and the estimation results were found to be promising compared to the other state-of-the-art algorithms

Novel and promising compounds to treat Cryptosporidium parvum infections

No fully effective approved drug therapy exists for Cryptosporidium infections of immunocompetent and immunocompromised patients. Here, we investigated 11 benzimidazole derivatives carrying substituted thioalkyl and thiobenzyl groups at position 2 of benzimidazole nucleus and additional substituents at the benzene part of benzimidazole for inhibition of the in vitro growth of the intestinal protozoan parasite, Cryptosporidium parvum. Three of them, i.e., 5-carboxy-2-(4-nitrobenzylthio)-1H-benzimidazole, 5,6-dichloro-2-(4-nitrobenzylthio)-1H-benzimidazole, and 4,6-dichloro-2-(4-nitrobenzylthio)-1H-benzimidazole, (compounds 5, 7, and 8) were the most active (IC50 28–31 μM). The concentration of compounds 5, 7, and 8 that caused 50% growth inhibition in human enterocytic HCT-8 cells by a quantitative alkaline phosphatase immunoassay was comparable with those obtained for paromomycin

Novel and promising compounds to treat Cryptosporidium parvum infections

No fully effective approved drug therapy exists for Cryptosporidium infections of immunocompetent and immunocompromised patients. Here, we investigated 11 benzimidazole derivatives carrying substituted thioalkyl and thiobenzyl groups at position 2 of benzimidazole nucleus and additional substituents at the benzene part of benzimidazole for inhibition of the in vitro growth of the intestinal protozoan parasite, Cryptosporidium parvum. Three of them, i.e., 5-carboxy-2-(4-nitrobenzylthio)-1H-benzimidazole, 5,6-dichloro-2-(4-nitrobenzylthio)-1H-benzimidazole, and 4,6-dichloro-2-(4-nitrobenzylthio)-1H-benzimidazole, (compounds 5, 7, and 8) were the most active (IC50 28–31 μM). The concentration of compounds 5, 7, and 8 that caused 50% growth inhibition in human enterocytic HCT-8 cells by a quantitative alkaline phosphatase immunoassay was comparable with those obtained for paromomycin