DETERMINATION OF 2-CYANO-4'-BROMOMETHYL BIPHENYL GENOTOXIC IMPURITY IN IRBESARTAN DRUG SUBSTANCES USING HPLC TECHNIQUE

Objective: The objective of present study was to develop and validate a specific and sensitive HPLC method for the quantitative determination of genotoxic impurity 2-cyano-4'-bromomethyl biphenyl present in irbesartan drug substance.Methods: The development activity was conducted by HPLC with UV as a detector. The impurity was separated on Kromasil C18 250 x 4.6 mm, 5 µm analytical column with a mobile phase consisting of buffer pH 3.2 and acetonitrile in the ratio of 60:40 v/v at a flow rate 1.5 ml/min. The effluent was monitored by UV detection at 258 nm with column temperature maintained at 40 °C and the injection volume 30 μl. Acetonitrile was selected as diluent.Results: Validation activity was planned and completed based on the ICH guideline. The LOD and LOQ value were found to be 0.167 µg/g and 0.506 µg/g and accuracy results were well in the range 98.34 to 103.46 %. The linearity curve showed the correlation coefficient of 0.9999 and method very sensitive.Conclusion: From validation data, it was confirmed that the developed method is specific, sensitive, linear, precise and accurate for the determination of 2-cyano-4'-bromomethyl biphenyl genotoxic impurity in irbesartan drug substances

Ultra Structural Analysis and Lipid Staining of Biodiesel Producing Microalgae - Chlorella vulgaris Collected from Various Ponds in Tamil Nadu, India

The present research paper describes to evaluate 10 different Microalgal lipid contents by Nile red and Bodipy staining. The ultra structural studies carried out by Scanning Electron Microscope (SEM). The micro algal samples were collected from province of Tamil Nadu, located in Southern India.  Compare to Nile Red stain Bodipy is a specific stain for to detect lipid content present in the living algal cells. In this study clearly describe Chlorella vulgaris stained by Bodipy have shown more lipid content than other microalgae collected from various location

Discovery of Frequent Itemsets: Frequent Item Tree-Based Approach

Mining frequent patterns in large transactional databases is a highly researched area in the field of data mining. Existing frequent pattern discovering algorithms suffer from many problems regarding the high memory dependency when mining large amount of data, computational and I/O cost. Additionally, the recursive mining process to mine these structures is also too voracious in memory resources. In this paper, we describe a more efficient algorithm for mining complete frequent itemsets from transactional databases. The suggested algorithm is partially based on FP-tree hypothesis and extracts the frequent itemsets directly from the tree. Its memory requirement, which is independent from the number of processed transactions, is another benefit of the new method. We present performance comparisons for our algorithm against the Apriori algorithm and FP-growth

Discovery of Frequent Itemsets: Frequent Item Tree-Based Approach

Mining frequent patterns in large transactional databases is a highly researched area in the field of data mining. Existing frequent pattern discovering algorithms suffer from many problems regarding the high memory dependency when mining large amount of data, computational and I/O cost. Additionally, the recursive mining process to mine these structures is also too voracious in memory resources. In this paper, we describe a more efficient algorithm for mining complete frequent itemsets from transactional databases. The suggested algorithm is partially based on FP-tree hypothesis and extracts the frequent itemsets directly from the tree. Its memory requirement, which is independent from the number of processed transactions, is another benefit of the new method. We present performance comparisons for our algorithm against the Apriori algorithm and FP-growth

Pseudopolymorphs of 3,5-dinitrosalicylic acid

Seven pseudopolymorphs of 3,5-dinitrosalicylic acid are studied. Four of these (A-D) are obtained from dioxane and their formation is rationalised on the basis of simultaneous O-H … O and C-H … O bond formation between the donor-rich solute molecule and the multiple-acceptor solvent. A fifth (E) is a previously reported centrosymmetric hydrate. The sixth and seventh (F and G) are a non-centrosymmetric hydrate and a tert-butyl alcoholate whose structures are related to that of form E, in that hydrogen bonds are both donated and accepted between solute and solvent. The formation of this rich diversity of pseudopolymorphs with hydrogen bonding solvents follows from the nature of the title acid while the similarities between the structures of the pseudopolymorphs may be accounted for in terms of a permutation of a small number of solute-solvent supramolecular synthons. All this indicates that this interesting phenomenon may be both anticipated and also studied systematically. The scope of the term pseudopolymorph has been extended a little, in the expectation that such a definition would be of more general utility

Birth weight and term of the gestation in pregnancies complicated by isolated oligo and isolated polyhydramnios

Background: To access the birth weight of the newborn and term of the gestation in pregnancies complicated by isolated oligo and polyhydramnios.Methods: A Hospital based study has been conducted in the Department of Obstetrics and Gynaecology, Sri Ramachandra Medical College and Research Institute, Chennai.  All the singleton pregnancies diagnosed with Isolated Oligo and Polyhydramnios were enrolled in the study. All the subjects were followed up to their delivery. Birth weight and Term of the Gestation were recorded immediately after delivery.Results: Out of 3,567 patients 32 (0.9%) and 5 (0.15%) were diagnosed as Isolated Oligo and Polyhydramnios respectively.Among 32 (0.9%) newborns of Isolated Oligohydramnios, 5 (15.62%) were Very Low Birth Weight ( 3800gms). On the other hand Preterm and Term gestations were 17 (53.12%) and 15(46.8%) respectively in this group.Among the 5 (0.15%) cases of Isolated Polyhydramnios group, Very Low Birth Weight and Low Birth Weight newborns were 1(20%) each and newborns with normal Birth weight were 3 (60%). Similarly, Preterm and Term gestations were 2(40%) and 3(60%) respectively.Conclusion:  Isolated Oligo and Polyhydramnios are associated with increased rate of Low Birth Weight (Very Low Birth Weight and Low Birth Weight) neonates and Preterm deliveries.

Fault diagnosis in a five-level multilevel inverter using an artificial neural network approach

Introduction. Cascaded H-bridge multilevel inverters (CHB-MLI) are becoming increasingly used in applications such as distribution systems, electrical traction systems, high voltage direct conversion systems, and many others. Despite the fact that multilevel inverters contain a large number of control switches, detecting a malfunction takes a significant amount of time. In the fault switch configurations diode included for freewheeling operation during open-fault condition. During short circuit fault conditions are carried out by the fuse, which can reveal the freewheeling current direction. The fault category can be identified independently and also failure of power switches harmed by the functioning and reliability of CHB-MLI. This paper investigates the effects and performance of open and short switching faults of multilevel inverters. Output voltage characteristics of 5 level MLI are frequently determined from distinctive switch faults with modulation index value of 0.85 is used during simulation analysis. In the simulation experiment for the modulation index value of 0.85, one second open and short circuit faults are created for the place of faulty switch. Fault is identified automatically by means of artificial neural network (ANN) technique using sinusoidal pulse width modulation based on distorted total harmonic distortion (THD) and managed by its own. The novelty of the proposed work consists of a fast Fourier transform (FFT) and ANN to identify faulty switch. Purpose. The proposed architecture is to identify faulty switch during open and short failures, which has to be reduced THD and make the system in reliable operation. Methods. The proposed topology is to be design and evaluate using MATLAB/Simulink platform. Results. Using the FFT and ANN approaches, the normal and faulty conditions of the MLI are explored, and the faulty switch is detected based on voltage changing patterns in the output. Practical value. The proposed topology has been very supportive for implementing non-conventional energy sources based multilevel inverter, which is connected to large demand in grid.Вступ. Каскадні багаторівневі інвертори H-bridge все частіше використовуються в таких пристроях, як розподільні системи, електричні тягові системи, системи прямого перетворення високої напруги та багато інших. Незважаючи на те, що багаторівневі інвертори містять велику кількість перемикачів, що управляють, виявлення несправності займає значний час. У конфігурації аварійного вимикача увімкнено діод для роботи в режимі вільного ходу в умовах обриву несправності. При короткому замиканні аварійні стани виконуються запобіжником, який може визначити напрямок струму вільного ходу. Категорія несправності може бути визначена самостійно, а також відмова силових вимикачів, що порушує функціонування та надійність каскадних багаторівневих інверторів H-bridge. У цій статті досліджуються наслідки та характеристики обривів та коротких замикань багаторівневих інверторів. Характеристики вихідної напруги 5-рівневого інвертору часто визначаються характерними несправностями перемикача, при цьому при аналізі моделювання використовується значення індексу модуляції 0,85. В імітаційному експерименті значення індексу модуляції 0,85 в місці несправного перемикача створюються односекундні обриви і коротке замикання. Несправність ідентифікується автоматично за допомогою методу штучної нейронної мережі з використанням синусоїдальної широтно-імпульсної модуляції на основі спотвореного повного гармонійного спотворення та керується самостійно. Новизна запропонованої роботи полягає у застосуванні швидкого перетворення Фур’є та штучної нейронної мережі для ідентифікації несправного перемикача. Мета. Пропонована архітектура призначена для виявлення несправного комутатора при розмиканні та короткочасних відмовах, що має знизити повне гармонійне спотворення та забезпечити надійну роботу системи. методи. Запропонована топологія має бути спроектована та оцінена з використанням платформи MATLAB/Simulink. Результати. Використовуючи підходи швидкого перетворення Фур’є та штучної нейронної мережі, досліджуються нормальні та несправні стани багаторівневих інверторів, і несправний перемикач виявляється на основі моделей зміни напруги на виході. Практична цінність. Запропонована топологія дуже сприятлива для реалізації нетрадиційних джерел енергії на основі багаторівневого інвертора, пов'язаного з великим попитом у мережі

Cloud Service Selection System Approach based on QoS Model: A Systematic Review

The Internet of Things (IoT) has received a lot of interest from researchers recently. IoT is seen as a component of the Internet of Things, which will include billions of intelligent, talkative "things" in the coming decades. IoT is a diverse, multi-layer, wide-area network composed of a number of network links. The detection of services and on-demand supply are difficult in such networks, which are comprised of a variety of resource-limited devices. The growth of service computing-related fields will be aided by the development of new IoT services. Therefore, Cloud service composition provides significant services by integrating the single services. Because of the fast spread of cloud services and their different Quality of Service (QoS), identifying necessary tasks and putting together a service model that includes specific performance assurances has become a major technological problem that has caused widespread concern. Various strategies are used in the composition of services i.e., Clustering, Fuzzy, Deep Learning, Particle Swarm Optimization, Cuckoo Search Algorithm and so on. Researchers have made significant efforts in this field, and computational intelligence approaches are thought to be useful in tackling such challenges. Even though, no systematic research on this topic has been done with specific attention to computational intelligence. Therefore, this publication provides a thorough overview of QoS-aware web service composition, with QoS models and approaches to finding future aspects

Functional analysis of cemented bipolar hemiarthroplasty with medial calcar augmentation for unstable intertrochanteric fractures in elderly

Background: Intertrochanteric fracture is one of the most common fractures among the elderly osteoporotic population, constituting about 50% of hip fractures. These fractures are managed either by fixation using dynamic hip screw (DHS), proximal femur nail (PFN) or by replacement, based on the stability of fracture pattern, age of the patient, quality of bone and associated co-morbid conditions. Prosthetic replacement which is routinely done for femoral neck fractures requires modification when done for trochanteric fractures to improve stability. This study aims to analyse the short term functional outcome of cemented bipolar hemiarthroplasty with medial calcar augmentation for unstable intertrochanteric fractures in elderly.Methods: Our study includes 60 patients of age more than 70 years admitted in our institution during June 2012 to September 2016 with unstable intertrochanteric fractures. All patients operated through posterior approach to hip and cemented hemiarthroplasty with medial calcar augmentation with bone graft was done. Patients were followed up for an average of period of 2 years. Functional outcome was evaluated with Harris Hip score.Results: 28% of cases had excellent outcome. 43% of cases had good and 23% of cases had fair outcome. 2% of cases ended with poor outcome. The in-hospital mortality rate was 3.3%. The survival rate of the patients in this study at the end of one year is 85%. Conclusions: Cemented bipolar hemiarthroplasty with medial calcar augumentation can be considered as a good primary option for elderly unstable intertrochanteric fracture patients with osteoporotic bones and associated co-morbidities.