Tourism Industry: Strengthening India’s Influence

It is obvious that the travel sector is the most important and effective part of any nation's economy. It may be the industry with the fastest growth. It is reliable to bring a million-dollar business to any nation while also providing joy and leisure. Due to the tourism industry's recent rapid growth, a number of locations have emerged as key tourist attractions for both local and international travelers. India is a nation renowned for its extensive social history. The country is strong in terms of its legalism, otherworldliness, and everyday splendor because of the people who reside there, who come from many cases, religions, and ethnic backgrounds. By examining the expansion of the travel industry areas in India, this investigation seeks to contribute to the existing work on the travel business. This essay seeks to understand how the travel industry helps to make India a sensitive power and creates key areas of strength for it. Exploratory in character, the evaluation adopts a subjective methodology combining member perception at various Indian tourism industry locations and optional information investigation. The findings show that India is widely regarded as a potential market for the travel sector

An In Vitro Pharmacognostical Study on Gluconeogenesis and Glucose

Traditional medicine over 60% of the world’s population used for health care name as Mukia maderaspatana (L.) M. Roem. (Cucurbitaceae) (Mukia) is extensively important medicine as an anti-inflammatory plant. It is rich in content of phenolics that exerts various medicinal properties. Mukia extract and its derivatives phenolics such as quercetin and phloroglucinol are investigated for their in vitro anti-inflammatory activity. Materials used was Quercetin, phloroglucinol, and methanol which extract of the dried whole plant (0.55 and 0.6 mg/ml) were studied for the inhibition of gluconeogenesis and glucose Phenolics of Mukia were analyzed by HPLC and UV-spectroscopy. Results obtained were Glucose (1.5 mg/g/h) was synthesized from pyruvate, the synthesis was whole inhibited by insulin (1 U/ml). Quercetin at 0.35 and 0.6 mg/ml caused 60% and 90% inhibition (0.43 mg/g/h and 0.12 mg/g/h glucose). Addition of insulin did not increase inhibition. Phloroglucinol inhibited 100% glucose production with or without insulin. Mukia (0.20 mg/ml) inhibited gluconeogenesis (0.65 mg/g/h) by 40%, and with insulin, inhibition increased to 50% (0.59 mg/g/h). At 0.6 mg/ml, glucose synthesis was stimulated by1.3-fold, but with insulin gets inhibited by 90% (0.12 mg/g/h glucose). Mukia possessed no effect on glucose uptake, in case it potentiated the activity of insulin mediated glucose uptake (153.82 ± 12.30 mg/dl/g/30 min) compared with insulin control (122.41 ± 9.14 mg/dl/g/30 min) (p < 0.02). HPLC analysis revealed the presence of phenolics. Results were concluded scientific rationale for the use of Mukia in medicine as an anti-inflammatory nutraceutical

(N,N) Share Generation using Key Share approach for RGB image in VCS

Visual Cryptography is a secure and unique image encryption technique which protects image based secret. In visual cryptography image is encrypted into shares and in decryption process all or some of shares are super imposed with each other to decrypt the original secret image. In this technique no complex computation is needed for decryption of secret image which is the best advantage of Visual Cryptography Scheme. In this report various types of visual cryptographic techniques are discussed from previous research area. In this proposed system (N, N) VCS is used for encryption. It takes color image as an input and extracts in R, G and B components. After that it generates Key-Mask using Key-Mask generation algorithm which XOR-ed with R, G and B components and gives the key shares. Further XOR operation of these key shares with key mask generates the color shares. In decryption process image is recovered by XOR operation between key mask and color shares. It has a better security features compared to previous one

Development and Simulation of Adaptive Neuro Fuzzy Controller Based Pitch Angle Controlled DFIG System For Wind Turbine

Wind energy is clean and renewable, which will never be dried up. The development of wind power has drawn the attention of the world and the proportion of wind power in the grid is getting higher and higher. Nowadays, the mainstream model of the wind power generator (WTG) is doubly-fed wind power generator (DFIG). With more and more wind power generators connected to the grid, the safe and steady operation of the power system will be deeply influenced. Wind turbines can operate with either fixed speed or variable speed. For fixed speed wind turbines, the generator (induction generator) is directly connected to grid. Since the speed is about fixed to the grid, and mainly certainly not controllable, the turbulence of the wind will result in power variations, and thus affect the power quality of the grid. Modern high power wind turbines are capable of adjustable speed operation and use either singly-fed induction generator (SFIG) or doubly-fed induction generator (DFIG) systems. The DFIG technology allows extracting maximum energy from the wind for low wind speeds by optimizing the turbine speed, presently DFIG based wind turbines are quite popular as it can extract maximum power. Though the DFIG based wind turbines can able to provides maximum extent of power but greatly suffers from the power oscillation, to overcome this problem this paper proposes a novel adaptive neuro fuzzy controller (ANFIS) for efficient pitch angle control of DFIG system for wind power generation, so that the DFIG based wind turbines not only able to provide maximum power but the power obtained will be highly stable also, irrespective to the wind speed fluctuations. For the comparative analysis, a comparison is also presented between the conventional PI controller and proposed ANFIS based controller. The obtained result indicates that, the proposed method is highly efficient to sustain the power oscillations as compare to state of art techniques. In addition to this it is also found that, the proposed ANFIS based pitch angle controller takes 80% less settling time as compare to conventional PI controller. DOI: 10.17762/ijritcc2321-8169.15062

An Assessment of Different Phytochemical Screening and Analysis of Polyphenol Compounds in Gamma-Oryzanol

The current research work's concentration is on mineral content analysis and polyphenol compound analysis. Using proximate analytical techniques, the chemical composition (ash, fat, proteins, fiber, and gross energy) was identified. Utilizing mass spectrometry and liquid chromatography, the phenolic profile was identified. It was discovered that they contain Gallic Acid, Caffeic Acid, Catechin, Epicatechin, Epigallocatechin Gallate, P-coumaric Acid, O-coumaric Acid, Naringin, Rosmarinic Acid, Quercetin, Naringenin, Rutin, Phytic Acid, Ferulic Acid, Chlorogenic Acid, Kaempferol, and Hydroxybenzoic Acid. The results showed great variations in each parameter of the nutritional and bioactive components. It was discovered during the phytochemical screening of the Gamma Orygenol that they contain a variety of minerals, including Potassium, Phosporous, Phosporous, Magnesium, Calcium, Iron, Znic, Sodium, and Copper

Composition and morphology study of acid-digested pond ash

The present study examines the chemical composition and morphology of raw and acid-digested pond ash samples that were collected from four ash ponds of the Fertilizer Corporation of India Limited, Sindri unit, Jharkhand, India. Scanning electron microscopy and energy dispersive X-ray spectroscopy were used to analyse the four pond ash samples. The aim of the study was to characterize the pond ash samples in order to assess their utilization based on morphological characteristics. Besides, loss-on-ignition and leaching studies (both with distilled water and under acidic medium conditions) were also conducted to understand the mobility of various elements in the leachates. The information provided herein would be useful to clearly understand the difference in the chemical composition and morphology of the raw and acid digested pond ash samples

Representations of loop extended Witt algebras

In this paper, we classify irreducible modules for loop extended Witt algebras with finite dimensional weight spaces. They turn out to be either modules with uniformly bounded weight spaces or highest weight modules. We further prove that all these modules are single point evaluation modules ($n \geq 2$). So they are actually irreducible modules for extended Witt algebras.Comment: Preliminary version; comments are welcom

3D-QSAR studija afiniteta vezanja na receptor za (R,S)-2-amino-3-(3-hidroksi-5-metilizoksazol-4-il)-propansku kiselinu

An approach for binding affinity evaluation is suggested and exemplified using a set of triazolo [1,5-a] quinoxaline for the (R,S)-2-amino-3-(3-hydroxy-5-methylisoxazol-4-yl)-propionic acid (AMPA) receptor. Biological activity toward the AMPA receptor (expressed as -log IC5O) was taken as a dependent variable for building Comparative Molecular Field Analysis (CoMFA) and Comparative Molecular Similarity Indices Analysis (CoMSIA) models. The resulting models show the ways of increasing the binding affinity to the AMPA receptor as a potential target for epilepsy. The statistically significant results show that the cross-validated r2CV value (0.766) for the CoMFA model is greater than (0.758) for the CoMSIA model. The non-cross validated run giving the coefficient of determination r2 values of 0.944 and 0.919 for CoMFA and CoMSIA, respectively, provided good correlation between the observed and computed affinities of the training set compounds. The resulting CoMFA and CoMSIA models indicate that steric, electrostatic, hydrophobic (lipophilic), hydrogen bond donor and acceptor substituents play a significant role in increasing the binding affinity and selectivity of the compounds toward the AMPA receptor.U radu je vrednovan afinitet vezanja serije triazolo[1,5-a]kinoksalina na receptor za (R,S)-2-amino-3-(3-hidroksi-5-metilizoksazol-4-il)-propansku kiselinu (AMPA). Djelovanje na AMPA receptor (izraženo kao log IC5O) uzeta je kao zavisna varijabla u modelima usporedne analize molekulskih polja (Comparative Molecular Field Analysis, CoMFA) i usporedne analize molekulske sličnosti (Comparative Molecular Similarity Indices Analysis, CoMSIA). Ti modeli pokazuju kako povećati afinitet vezanja na AMPA receptor, što može biti korisno u terapiji epilepsije. Statistički značajni rezultati ukazuju da je križno validirana r2CV vrijednost za CoMFA model (0,766) veća nego za CoMSIA model (0,758). Koeficijenti r2 za CoMFA model (0,944) i CoMSIA (0,919) ukazuju na dobru korelaciju između izračunatih i eksperimentalno određanih afiniteta vezanja proučavane serije spojeva. Prema oba modela za povećanje afiniteta vezanja i selektivnost spojeva za AMPA receptor značajna su sterička, elektrostatska, hidrofobna (lipofilni) svojstva, te sposobnost stvaranja vodikovih veza