Miracle-dz/UniFAR-FTUs huggingface dataset:
EVALUATION OF CYTOTOXIC EFFECT OF TRICHOSANTHES DIOICA (LEAVES) COMPARED TO VINCRISTIN SULPHATE IN BANGLADESH

Trichosanthes, a genus of family Cucurbitaceae is an annual or perennial herb distributed in tropical Asia and Australia. Pointed gourd (Trichosanthes dioica Roxb.) is known by a common name of potol and cultivated mainly as a vegetable. Juice of leaves of T. dioica is used as tonic, febrifuge, in oedema, alopecia and in subacute cases of enlargement of liver. In Charaka Samhita leaves and fruits find mention for treating alcoholism and jaundice. A lot of pharmacological work has been scientifically carried out on various parts of T. dioica but some other traditionally important therapeutical uses are also remaining to proof till now scientifically. According to Ayurveda leaves of the plant are used as antipyretic, diuretic, cardiotonic, laxative, antiulcer, etc. It is also used in skin disorder by some communities of Asia traditionally. The various chemical constituents present in T. dioica are vitamin A, vitamin C, tannins, saponins, tetra and pentacyclic triterpenes etc. Cytotoxic activities of the alcohilic T. dioica. Leaves extracts of the root of T. dioica was subjected to Brine Shrimp lethality bioassay for possible cytotoxicity where, ethanol extract were found to be moderately cytotoxic showing LC50 of 26. 89μg/ml while the LC50 of the reference anticancer drug vincristine sulphate was 0.98 μg/ml. Altogether, these result suggest that the ehtanolic extract could be usedas a potential antioxidant and anti-inflammatory agents. World Journal of Pharmaceutical Research SJIF Impact Factor 5.990 Volume 5, Issue 2, 196-207. Research Article ISSN 2277– 7105 Article Received on 07 Dec 2015, Revised on 28 Dec 2015, Accepted on 17 Jan 2016
MULTI KEYWORD RANKED SEARCH OVER ENCRYPTED CLOUD DATA

The project solves and defines the difficulty of multi-keyword ranked search over encrypted cloud data (MRSE) while preserving firm system wise privacy in the cloud computing hypothesis. Hence to protect privacy of the data, before privacy data also outsourced to the cloud data that has delicate to be encrypted, which make the valuable data utilization service not a easy task. Even though searchable encryption method allows users to firmly search over encrypted data all the way through the keywords, they carry only search i,e Boolean. They are not yet enough to meet the utilization of the data successfully because there is instinctively demanded by large number of data files and users located in cloud. Hence it is required to allow multiple keywords in the search request and return documents in the order of their significance to the keywords. The keyword i,e Boolean of the search technique only produce the unsorted result. An valuable method proposed for this difficult problem is privacy conserving search over encrypted cloud data. After the data has been encrypted and outsourced by the data owner this method establishes a set of privacy desires for secure cloud data utilization system during splitting the cloud data and storing the chunk data in different servers. Among different multi-keyword aetiology, this method chooses the well-organized similarity measure of “coordinate matching” for searching technique.
Mycobacterium tuberculosis Decreases Human Macrophage IFN-γ Responsiveness through miR-132 and miR-26a

IFN-γ–activated macrophages play an essential role in controlling intracellular pathogens; however, macrophages also serve as the cellular home for the intracellular pathogen Mycobacterium tuberculosis. Based on previous evidence that M. tuberculosis can modulate host microRNA (miRNA) expression, we examined the miRNA expression profile of M. tuberculosis–infected primary human macrophages. We identified 31 differentially expressed miRNAs in primary human macrophages during M. tuberculosis infection by NanoString and confirmed our findings by quantitative real-time RT-PCR. In addition, we determined a role for two miRNAs upregulated upon M. tuberculosis infection, miR-132 and miR-26a, as negative regulators of transcriptional coactivator p300, a component of the IFN-γ signaling cascade. Knockdown expression of miR-132 and miR-26a increased p300 protein levels and improved transcriptional, translational, and functional responses to IFN-γ in human macrophages. Collectively, these data validate p300 as a target of miR-132 and miR-26a, and demonstrate a mechanism by which M. tuberculosis can limit macrophage responses to IFN-γ by altering host miRNA expression.
Origami influence on container design

This study examines the capabilities that the origami tradition can contribute to the structural efficiency of a container. Art and tradition meet engineering in an effort to modify the mechanical properties of a conventional design and broaden its potential, as a heavy and sensitive motor is to be transported in a secure way. Using Finite Element Analysis, a thorough research is being conducted, so that an optimal arrangement of different elements can be found. Mechanical hinges, folding that enables expansion and shrinkage, and a layout that inverts the Poisson’s ratio of a structure, are some features that are derived by designs that are primarily Origami conceptions. All these are being put to the test, in an investigation of their effect on stress minimization on the proposed model.
DYNAMIC MODELING OF WIND TURBINES FOR SYSTEM FREQUENCY CONTROL

This paper presents a control strategy for a grid connected doubly fed induction generator (DFIG)-based wind energy conversion system (WECS). Control strategies for the grid side and rotor side placed in the rotor circuit of the Doubly Fed Induction Generator (DFIG) are presented along with the mathematical modeling of the Wind Energy Conversion System. In this control approach, wind generators operate according to a deloaded optimum power extraction curve such that the active power provided by each wind turbine increases or decreases during system frequency changes . The control strategy defined at the wind generator to supply primary frequency regulation capability exploits a combination of control of the static converters and pitch control, adjusting the rotor speed and the active power according to the deloaded optimum power extraction curve. The results are obtained at different speed and operating condition.
Music and new technologies as specific language of teenagers

The formation of attitude on music of teenagers, differences and similarities of music, fine arts and media arts, influence of written text and new computer technologies on our visual thinking are analyzing in this article. There are analyzing music as a part of general culture, the importance of new technologies of music creation and retransmission towards a positive attitude to music of teenagers in this article. Music as a part of our social environment experienced a long and complicated way of development. Born as a system functioning on emotional basis and supplementing speech, it increasingly establishes itself on the list of bought/sold goods. Exceptionally intelligent approach to music and emergence of new technologies in the 20th century led to the formation of popular music genre and its wide spreading in the adolescent’s list of values. For purpose to analyze influence of such situation on preferences of teenagers there is analyzing results of empirical research where participated 360 students of comprehensive schools of Lithuania. There is analyzing possibility of formation of specific music language.
Identification of Events in Social News Streams

Current age can be well described as the age of digitization. The digital universe uses enormous amount of structured as well as unstructured data. The data can be in any form, of any shape and size. The data being generated evolves from almost everything and every source which could be imagined in present era. Social media produces enormous amounts of data. Social media provides information about the latest happenings of the world. Simultaneously it provides the opinion of every individual. Analyzing the news streams which are temporally sequenced has been an interesting issue. In this paper, timely detection of bursty events and their evolution is carried out A news stream is represented as feature streams of thousands of features (i.e., keyword). Each news story consists of a set of keywords. A bursty event therefore is composed of a group of bursty features, which show bursty rises in frequency as the related event emerges. In this paper, we give a formal insight to the above problem and present a solution. We extensively evaluate the proposed methods on the Reuters Corpus Volume 1. Experimental results show that our methods can detect bursty events in a timely way and effectively discover their evolution.
Privacy Preserving Ranked Multi And Fuzzy Keyword Searching On Cloud

: with the arrival of cloud computing, it's clad to be increasingly rife for knowledge homeowners to source their info to open cloud severs whereas allowing info shoppers to recover this information. For protection considerations, secure ventures over encrypted cloud info have impelledmany analysis works below the one owner model. In any case, most cloud servers in apply do not merely serve one owner rather, they support numerous home owner share the benefits brought by distributed computing. Hence these knowledge home owners will transfer their files over the cloud so the different knowledge users might realize various files and use them.
A Multi-Level Reordering Model for Statistical Machine Translation Using Source Side Parse Trees

Summary In translating between a pair of languages, reordering is a major task, which is roughly defined as finding the right order of words in target language. Word reordering is a key element affecting the machine translation quality and one of its serious difficulties as well. In this paper, we present a new reordering model based on POS tags and syntactical information that exists in source sentence’s parse trees. In order to use this information properly, we proposed an innovative method that reorders sentences on two different levels (i.e., phrase and word level). This method considers relationships among the words in a sentence and performs reordering with respect to the sentence structure, unlike only POS-based models. We examined this model on English-Persian language pair. Our experiments showed that this model can improve the measure of precision and reorder sentences more reliably than previous approaches.
Dual-Mode Control of AC/VSC -HVDC Hybrid Transmission Systems with Wind Power Integrated

This paper proposes a novel dual-mode con-trol scheme for the control of an ac/voltagesource converter (VSC)-HVDC hybrid transmission system with the wind farm connected. First, a novel ac voltage and phase -angle control scheme is designed for the active power control of the wind farm side voltage-source converter (WFVSC) such that the switching of control schemes of WFVSC is no longer required when the ac lines are switched on or off the transmission system. This results in the proposed dualmode control scheme being able to accommodate different operation modes of the ac/dc hybrid transmission systems. Second, an improved direct-current vector control scheme has been designed for the control of gridside VSC (GVSC) to provide better control of the dc voltage of the GVSC. Moreover, simulation studies have been undertaken on a two-terminal VSC -HVDC and an ac hybrid transmission system under a variety of operating conditions, which have validated the feasibility performance of the proposed control scheme.
An Effectual Adaboost Based Regularization Approach For Risk Prediction In Vehicular Ad-Hoc Networks

: With the rapid development in vehicle scale and road traffic, people have encountered safety risks due to vehicle accidents, during benefiting increasing convenience of life. However, Vehicular Ad Hoc Networks (VANETs) have offered the human society with significant information associated with vehicle data, which assists in developing a new methodology to examine vehicle accidents in high traffic scenario. In this investigation, the problem associated with identifying the risk of vehicle accidents have been analyzed and a solution is made using the Adaboost based Regularized boosting for classifying the velocity of vehicle during the process of transportation and to acquire model for accident risk prediction. In this investigation, identifying risk is significantly grounded on big data processing and real time accident data. Initially, Real time traffic dataset is considered, the missing attributes of the dataset will be complemented and the sample features are considered. Secondly, AdaBoost algorithm is utilized for adjusting the computing power of vehicle terminals, which assists in deploying the VANET effectually. Thirdly, Effectual Regularized Boosting is combined with Adaboost to make the classifier to effectual for risk prediction. Finally, simulation results show that prediction model using Adaboost based Regularized boosting algorithm provides Intelligent Transportation System (ITS) and vehicle assistant system with theoretical basis. The parameters such as Notification, End to End delay, Network processing overhead, Reception rate, and Notification distribution are evaluated using MATLAB simulation environment. The proposed method outperforms well in contrast to existing methods.
Effect of pre harvest application of amino acids on fruit development of sub-tropical peach

The present investigations were carried out at Fruit Research Farm, Department of Fruit Science, Punjab Agricultural University, Ludhiana during the years 2016 and 2017. The six year old peach trees of cv. Florda Prince were sprayed with 0.25 % and 0.50 % concentrations of amino acids (Peptone P1 023), 7 and 14 days after full bloom and the sprays were repeated after 15 and 30 days. All the amino acid treatments increased fruit growth, shoot growth and fruit retention and decreased fruit drop as compared to control during both the years. Maximum fruit retention (89.29 %) and minimum fruit drop (10.71 %) was observed in T8 (2 sprays @ 0.50%). Fruit yield was also found to be maximum (53.92 kg/tree) under double spray treatment T8 (2 sprays @ 0.50%) of amino acids and minimum in plants sprayed with triple spray of amino acids. Fruit maturity was advanced by 3-4 days by double spray treatments of amino acids as compared to control.
Evaluation of Extraction Percentage and Physicochemical Properties of Walnut Oil

In this study, walnut oil was first extracted by conventional method using hexane in three different temperatures 25, 35 and 45 ° C, three times for 5, 10 and15 h, and the ratio of solvent to walnut at 2, 3 And 4 (w / v). Through the study of the effect of parameters on the extraction, it was found that the increase in extraction time leads to significant increases in total efficiency of extraction, acid number, saponification value, the percentage of wax and the refractive index; while on the other hand, it leads to a significant decrease in the amount of phenolic compounds. The increase in temperature leads to a significant increase in the total efficiency of extraction, acid index, saponification index, phenolic compounds, wax content and refractive index. Among the ratio of solvent to nut, the ratio of 3 was considered as the optimal level. Determination of the structure of walnut oil fatty acids revealed that the major fatty acids of walnut oil are linoleic acid (54.54 percent), oleic acid (23.89%) and linolenic acid (12.80%), respectively, which in total; they constitute over 91 percent of the total amount of fatty acids. Percentage of oil extraction, acid number, saponification value, phenolic compounds, wax content, specific gravity, refractive index and structure of the fatty acid was calculated to evaluate the physicochemical properties of walnut oil.
Detection of ISPa1328 and ISPpu21, Two Novel Insertion Sequences in the OprD Porin and blaIMP-1 Gene Among Metallo-Beta-Lactamase-Producing Pseudomonas aeruginosa Isolated From Burn Patients

Background: Carbapenemes are a good choice for treatment of infections caused by multidrug resistant Pseudomonads aeruginosa. The emergence of carbapenem resistance has become a major problem in treatment of this organism especially among immunocompromised patients including burn patients. Objectives: The aim of this study was to investigate carbapenem-resistance mechanisms among burn patients in Tehran, Iran, dur-
Molluscicidal Activity of Eco-friendly natural compound (Rutin) Gained from Ethanolic Flowers Extract of Calendula officinalis on B. alexandrina, B. truncatus and Lymanea snails

Within 3000 intermediate host snails of Schistosomiasis and Fasciolasis were originated from Delta regions at Egypt mainly Beba in Beni Seuf governorate. They were selected on the basis of snails selection Schistosomiasis and Fasciolasis mainly Schistosoma haematobium, Schistosoma mansoni and Fasciola ova. Preliminary screening of C. officinalis flower ethanolic extract showed molluscicidal activity against Biomphalaria alexandrina, Bulenus truncatus and Lymanea snails under studying. Rutin as eco-friendly natural compound was separated from the ethanolic extract of C. officinalis flowers by TLC and column chromatography and was identified by different tools of spectral analysis. Ten snails per one liter water jars were applied. Four serial concentrations of rutin with comparing to the recommended molluscicide niclosamide were prepared as (0.05, 0.1, 0.2 and 0.4 g). Mortality percentages were observed after six, twenty four, forty-eight and seventy two hours. Our study revealed that rutin separated from ethanolic extract of Calendula officinalis flowers can be used in the control of both Schistosomiasis and Fasciolasis in Egypt. [El-Sheikh, Y. W. A. ; Eltamny, H. M. ; Soliman, H. A; Farag A.A and El Behary M.H. H. Molluscicidal Activity of Eco-friendly natural compound (Rutin) Gained from Ethanolic Flowers Extract of Calendula officinalis on B. alexandrina, B. truncatus and Lymanea snails. New York Science Journal 2012;5(4):19-27]. (ISSN: 1554-0200). http://www.sciencepub. net/newyork. 4
THE THERAPEUTIC POTENTIAL OF FRESH GOAT's MILK AGAINST PREMATURE OSTEOPOROSIS BY INHIBITING OF BIOMARKERS OF BONE RESORPTION IN UNTRAINED HEALTHY WOMEN

The aim of this study was to (1) analyze the effect of fresh goat’s milk intervention on serum Carboxyterminal Cross-Linked Telopeptide of type I Collagen (CTX) and calcium in untrained healthy women, therefore goat milk can be used for osteoporosis therapy, (2) examined the relationship between levels of calcium and CTX after the intervention of fresh goat's milk. The research design was a controlled randomized trial. Eighteen volunteers sedentary women were randomized into 2 equal groups (control, n=9, and trial, n=9), aged 18-19 years, healthy, and did not consume high calcium foods or drugs. The treatment group was treated with 250 ml/day of fresh goat's milk, given in the morning, for 110 days. Fasting morning serum calcium and CTX levels were measured before and after fresh goat milk intervention. The data were analyzed by the statistical t-test and linear correlation with the significance level of 5%. Untreated, both serum calcium and CTX levels in the trial and control group were not significantly different (p>0.05). Treated, serum calcium levels were higher (p<0.05) in the trial group than the control group. Serum CTX levels were lower (p<0.05) in the trial group than in the control group. There was a significant increase in calcium levels and the significant decrease of CTX levels after-treated in the trial group. Goat milk affects inhibiting the process of bone resorption in untrained healthy women. INTRODUCTION: Physical inactivity or sedentary lifestyle has a role in the etiology and pathology of osteoporosis 1-3 . Increasing numbers of people with the sedentary lifestyle or physical inactivity significantly cause an increase in the population with chronic disease 1-3 . According to data from the Ministry of Health Republic of Indonesia in 2013, the number of population with physical inactivity in Indonesia is about 26.1 percent and the sedentary lifestyle (sitting time 35.9 hours per day) is 42% 4 . QUICK RESPONSE CODE DOI: 10.13040/IJPSR.0975-8232.10(4). 1995-99 The article can be accessed online on www.ijpsr. com DOI link: http://dx.doi. org/10.13040/IJPSR.0975-8232.10(4). 1995-99 The population with physical inactivity in Aceh, Indonesia is about 37.2% 4 . Physical inactivity causes about 10.3% of premature deaths and contributed about 18% as a cause of osteoporosis in Canada 5 . Osteoporosis is a silent disease that has a significant impact on the socio-economic and quality of life of patients and their families as well as government 6 . Osteoporosis is a metabolite bone disease characterized by changes in the microarchitecture of bone tissue and decreases of bone mass resulting in low levels of bone density, fragile and fractures 6-8 . The etiology of osteoporosis is very complex such as multiple genetic, hormonal, drugs, sedentary lifestyle and nutritional factors (chronic hypocalcemia) 6, 7 . An imbalance of bone remodeling causes osteoporosis, an imbalance
INFLUENCE OF PROBIOTICS [BACILLUS SUBTILLUS AND LACTOBACILLUS SUBTILLUS] ON THE GROWTH OF FINGERLINGS OF CATLACATLA [HAMILTON]

The effect of a commercially available probiotic product containing Bacillus subtillus and Lactobacillus subtillus, on the growth performance in CatlaCatla fingerlings was studied.an experiment was conducted to determine the growth performance of Indian major carpCatlaCatla fingerlings for period of 60 days. Two experimental groups of commercial pellet diet incorporated with two types of feed probionts( Bacillussubtillus and lactobacillus subtillus) and two control groups maintained separately for CatlaCatlafingerlings.The results evaluated that the CatlaCatla fingerlings showed maximum increase in length [29.06-+0.74 mm], weight gain [343.39 mg ], FCR [1.02] and SGR [0.89] similar trends were observed highest levels in experimental group than that of control group
SYNTHESIS OF METAL NANOPARTICLES AND THEIR USE IN ELECTROCHEMICAL BIOSENSORS FOR THE DETECTION OF MICROBES

One of the important applications of electrochemical biosensor is their use in the detection of microorganisms (bacteria, virus, spores, fungi, pathogens etc.) present in air, water, food, soil etc. Nanoparticles of different metals were synthesized for this purpose by the Coprecipitation method. Characterization of metal nanoparticles was carried out by XRD, FTIR, TEM and UVVisible spectroscopic techniques. Nanoparticles based working electrode was fabricated for this purpose and then combined with two other electrodes i.e. Ag/AgCl reference and a platinum counter electrode to study its application as electrochemical biosensors in the detection of microbes present in analyte.
Identification of Fingerprint using Discrete Wavelet Packet Transform

Objective of this paper is to identify a person taking fingerprint as a biometric parameter using wavelet packet transform. Here both conventional discrete wavelet transform (DWT) and discrete wavelet packet transform (WPT) are used considering special basis function/matrix to extract the coefficients of basis functions those convey the most of the energy of the signal or image. Here top 5% coefficients are chosen which actually convey the characteristics of an image. The outcome of the paper is to determine the set of energetic coefficients of basis functions which carry the features of an image hence storage required to preserve the template of images will be reduced considerably.