Biochemical studies on the effect of curcumin and embelin during N-nitrosodiethylamine/phenobarbital induced-hepatocarcinogenesis in wistar rats

The biochemical effects of administration of embelin a benzoquinone derivative from Embelia ribes and curcumin (diferuloyl methane) isolated from Curcuma longa against a 2 step hepatocarcinogenic regimen comprising of N-nitrosodiethylamine (DENA)/phenobarbital (PB) was studied in wistar strain male albino rats with respect to lipid profile, renal function tests and levels of blood glucose. Rats administered DENA/PB showed hyper cholesterolaemia, hyper triglyceridaemia, elevated low-density lipoproteins (LDL), free fatty acids (FFA), very-low-density lipoproteins (VLDL) levels and decreased urea levels. Pre- and co-treatment with embelin and curcumin for 14 weeks significantly prevented the biochemical alterations induced by DENA/PB. Results of our study suggest the protective and hypolipidemic effects of embelin and curcumin during chemically- induced hepatocarcinogenesis in wistar rats. © 2009 Academic Journals

Protective Effects of Embelin and Curcumin Against Diethylnitrosamine / Phenobarbital Induced Experimental Hepatocarcinogenesis in Rats

The effects of administration of Curcumin and Embelin on the levels of certain trace elements and other elements of clinical significance, during experimental hepatocarcinogenesis induced by Diethylnitrosamine/ Phenobarbital (DENA/PB) was studied in Wistar strain male albino rats. The levels of calcium, potassium and sodium were determined in the serum of control and experimental groups of rats. Additionally, the levels of chromium, copper, magnesium, molybdenum and zinc were also determined in the serum, liver and kidney of these rats. Furthermore, lactate dehydrogenase (LDH) activity was also assayed in the serum of these rats. Results revealed both significant and non-significant alterations in the levels of few elements during DENA/PB-induced experimental hepatocarcinogenesis. A statistically significant increase in LDH activity was found in the serum during the cancerous condition. Pre- and co-treatment with Curcumin and Embelin was found to protect the liver against the carcinogenic effects of DENA/PB. This protection was i) due to their ability to prevent changes in the levels of elements studied and ii) by the statistically significant decrease in the activity of LDH that increased in DENA/PBtreated rats and LDH activity in the rats given only Embelin and Curcumin indicating their nontoxic effect. Our present results demonstrate the ability of Embelin and Curcumin to protect against DENA/PB-induced hepatocarcinogenesis in rats

Проектирование электрической части ТЭЦ установленной мощностью 127 МВт

Объектом исследования является электрическая часть теплоэлектроцентрали. Целью работы является проектирование электрической части теплоэлектроцентрали, выбор основное силовое оборудование, выполнения расчет режима работы трансформатора, исследование вставки постоянного тока. Актуальность проектирования теплоэлектроцентрали заключается в том, что их мощность обычно такова, что может обеспечить электроэнергией город. Так же имеется возможно обеспечить город теплоснабжением.The object of the study is the electrical part of the co-generation plant. The aim of the work is the design of the electrical part of the co-generation plant, the selection of the main power equipment, the calculation of the operating mode of the transformer, the study of the high-voltage direct current link. The actuality of designing a co-generation plant is that their power is usually such that it can provide electricity to the city. It is also possible to provide the city with heat

Statistical analysis of industrial indicators of enterprises of various property forms

In this paper we study the impact of the economic crisis on the enterprises of subsection DM "Manufacture of transport means and equipment" manufacturing industries of Russia in the context of ownership. The study is based on comparative statistical analysis of available indicators of enterprises producing vehicles in 2013, 2014 and 2015 located in Russian, foreign and co-property

Subthreshold dynamics of the neural membrane potential driven by stochastic synaptic input

In the cerebral cortex, neurons are subject to a continuous bombardment of synaptic inputs originating from the network's background activity. This leads to ongoing, mostly subthreshold membrane dynamics that depends on the statistics of the background activity and of the synapses made on a neuron. Subthreshold membrane polarization is, in turn, a potent modulator of neural responses. The present paper analyzes the subthreshold dynamics of the neural membrane potential driven by synaptic inputs of stationary statistics. Synaptic inputs are considered in linear interaction. The analysis identifies regimes of input statistics which give rise to stationary, fluctuating, oscillatory, and unstable dynamics. In particular, I show that (i) mere noise inputs can drive the membrane potential into sustained, quasiperiodic oscillations (noise-driven oscillations), in the absence of a stimulus-derived, intraneural, or network pacemaker; (ii) adding hyperpolarizing to depolarizing synaptic input can increase neural activity (hyperpolarization-induced activity), in the absence of hyperpolarization-activated currents

Identification and Classification of Face Emotions Based on Age and Linguistic approach Using Convolution Neural Network and Analytic Hierarchy Process

Face recognition has been an important topic of study for the last few decades. Human facial expressions show a lot of information instead of telling people what they are saying. It is important for people and machines to be able to recognise each other's faces. Computers still have a hard time figuring out how to recognise facial expressions with a high level of accuracy. In this paper we have used Convolution neural network (CNN) algorithm to recognise and classify face emotions based on age group. Then this paper focuses on Analytic hierarchy process (AHP) to recognise and classify face emotions based on linguistic approach

Origin of the low critical observing temperature of the quantum anomalous Hall effect in V-doped (Bi, Sb)2Te3 film

The experimental realization of the quantum anomalous Hall (QAH) effect in magnetically-doped (Bi, Sb)[subscript 2]Te[subscript 3] films stands out as a landmark of modern condensed matter physics. However, ultra-low temperatures down to few tens of mK are needed to reach the quantization of Hall resistance, which is two orders of magnitude lower than the ferromagnetic phase transition temperature of the films. Here, we systematically study the band structure of V-doped (Bi, Sb)[subscript 2]Te[subscript 3] thin films by angle-resolved photoemission spectroscopy (ARPES) and show unambiguously that the bulk valence band (BVB) maximum lies higher in energy than the surface state Dirac point. Our results demonstrate clear evidence that localization of BVB carriers plays an active role and can account for the temperature discrepancy

Cryptographic Interweaving of Messages

During the past several decades, the information and communication technology sector has advanced significantly, enabling extensive information interchange over the internet, including message sharing and electronic transactions. These days, the main issue is how to transmit information securely. From ancient times, there has been interest in the field of cryptography research. A masterwork of cryptography is Muni Kumudendu's original work, Siribhoovalaya. His study served as the basis for the method suggested in this publication. Several messages can be sent using different keys utilising a single matrix. Encryption uses a variety of matrix traversal techniques, making it challenging for cryptanalysis to map the plaintext and ciphertext

Comparative analysis of Identification and Classification of Face Emotions Using Different Machine Learning and Deep Learning Algorithms

Sentiments are significant and profound features of individual conduct. Examining facial looks and acknowledging their expressive condition is stimulating job by extensive reaching functions. Human Face expression Recognition is one of very influential and stimulating chores in public interaction. Usually, face expressions are usual and straight ways for human beings for communicate their emotions and intentions. Face expressions are the key characteristics of non-verbal communication. Here, we introduce available dataset i.e., CK+, JAFFE and FED dataset that are widely used in this work. This paper focuses upon facial expression recognition technique founded on machine learning algorithms pair and also deep learning algorithms that will assist in precise recognition and organization of human emotion

Evaluation of adverse drug reactions of anti-tubercular drugs in the treatment of tuberculosis in tertiary care hospital

Background: Adverse drug reactions are very common among patients on anti-tubercular treatment. Hence, the current study was done to evaluate the adverse drug reaction (ADR) profile in patients receiving anti-tubercular treatment (ATT).Methods: A 6 months prospective, cross-sectional observational study was performed in collaboration with Pulmonology Medicine department. WHO-UMC scale and Naranjo scale was used to evaluate the ADRs.Results: Ninety-two patients receiving ATT presented with 113 adverse drug events (ADE). Males were more affected than females. DOTS category-1 regimen was mostly responsible for ADE. Addition of drugs for the management of ADR events was done.Conclusions: The study results show more ADRs related to ATT demanding increased collaboration between NTEP 2020 and Pharmacovigilance Programme of India to enhance drug safety in this field