Miracle-dz/UniFAR-FTUs huggingface dataset:
REPELLENT EFFICACY OF SOME ESSENTIAL OILS AGAINST Aedes albopictus

Background: Mosquito species are the most important among the insects; for the reason that they transmit major diseases viz. malaria, dengue, chikungunya, zika, filariasis and various forms of encephalitis; imposing enormous menace to human as well as animals. These diseases cause huge amount of mortality and morbidity across the world. The principal strategy for fighting these diseases is the vector control including the use of repellent against adult mosquitoes. Use of essential oils as mosquito repellent has been suggested by different studies. Keeping in view of the above, we have evaluated synergistic activity of five essential oils in different combinations against Aedes albopictus mosquito. Methods: Five essential oils i.e., 1) Aniba rosaeodora (rosewood), 2) Cymbopogon citrates (lemongrass), 3) Eucalyptus citriodora (lemon scented), 4) Litsea cubeba (litsea), 5) Pelargonium graveolens (geranium), were used for study. The Klun and Debboun test module (K & D module) was used for this repellent testing. Results: Among all combinations, the combination of Aniba rosaeodora (rosewood) and Litsea cubeba (litsea) oils showed 82% repellency against Aedes albopictus mosquito up to 4 h. Conclusions: In conclusion, we extended the application of essential oils for medically important mosquito control management. The results of this study are useful for developing eco-friendly, efficient and secure mosquito repellent.
Influence of select asanas and pranayamas on the cardio-vascular efficiency of girl students

Introduction: Yoga is an ancient science based on a harmonizing system of development for the body, mind and spirit. The ultimate goal of Yoga is ‘Salvation’ (i.e Kavalya/Moksha) through ‘Selfrealization. ’ In modern world the essence and motive of the great Indian philosophy of Yoga has changed and shrink only up to health and wellbeing. Its ultimate aim has been forgotten. So the only aspects related to physical, physiological and psychological health and well being comes under the preview of modern Yoga. Many scientific researches asserted that a regular and disciplined yoga practice may immensely helpful in improving physical, physiological and psychological functions. This study aimed at assessing the effect of Asanas and Pranayamas on the cardio-vascular efficiency of adolescent girls. Material and Methods: This is an experimental study with pre & post-test experimental design. Through purposive sampling a group of 45 volunteer girl students of age group 12-15 years of standard VII to X are selected. These subjects are randomly divided into three equal groups of 15 subjects each. Besides general warming up, Group A and B have gone through yogic exercises for one hour daily in morning for 6 days a week during twelve-week training program under strict supervision of the researcher. Group A (Asana group) has given some select Yogasanas, Group B (Pranayama and Kriya group) has given some select Pranayamas and Kapalbhati Kriya, and Group C is a controlled group and has not given any type of exercise except general warming-up exercises. All the three groups have been pre-tested and post-tested for select physiological component viz. Cardio-vascular fitness. The change in the dependent variable is credited to the particular exercises given to the groups. Results: For Asana Group as well as Pranayama-Kriya Group, the t-value is found statistically highly significant at 5% level of significance for 14 degree of freedom. The calculated F-value [F (0.05, 2, 42) = 26.42, p = 0.00] of post-tests is found statistically significant. So the post-tests mean differences between the groups are significant. Conclusion: The present study showed that there is a significant effect of Yogic training on the Cardiovascular efficiency of girl-students. Both Asanas as well as Pranayamas are beneficial in improving cardio-vascular efficiency. Pranayamas and Kapalbhati Kriya are little bit more effective than Asanas in enhancing Cardio-vascular efficiency of girl-students.
Single and Multiple Object Tracking Algorithm Based on a Particle Grouping Approach with Occlusion Handling

Multiple object detection and tracking is one of the hot research topics in the field of intelligent transportation systems, computer vision, robotics and medical image processing that is aptly fitting to solve the real time applications like traffic monitoring, occlusion handling, collision avoidance, lane changing assistance, public safety on the road and much more. When there is a huge necessity of detecting and tracking multiple objects in motion there exists a several challenges such as object shape, size, speed, memory, appearance, varying illumination, camera oscillations, cluttering, animals crossing on the road and shadowing etc. Ensuring that robustness and accuracy requires most optimized algorithms that aptly fit into the multiple object tracking problem. In this paper, we addressed a problem of single and multiple object tracking algorithm based on a particle grouping method and fusion of two optimal filters such as particle filter and Kalman filter for solving the linear and non-linear motion respectively, and also we addressed the other problem of various occlusion states such as full occlusions, semi occlusion, half occlusion and so on. The first step is for preprocessing which means system automation is to act intelligently in detecting the region of interest from a given input video by using haar trainer formerly known as viola Jones method paired with Adaptive Discrete Boost Classifier. In the experimental results we have shown that the training mechanism attains the accuracy of 85.9% detection rate of multiple objects in the presence of various occlusion states. The second step is used for particle generation
Sentiment Analysis Model for Polarity Classification Based on User Generated Review

: Bag-of-words (BOW) is now the most popular way to model text in statistical machine learning approaches in sentiment analysis. However, the performance of BOW sometimes remains limited due to some fundamental deficiencies in handling the polarity shift problem. The propose model called dual sentiment analysis (DSA) address the problem for sentiment classification. Firstly propose a novel data expansion technique by creating a sentiment-reversed review for each training and test review. On this base, propose a dual training algorithm to make use of original and reversed training reviews in pairs for learning a sentiment classifier, and a dual prediction algorithm to classify the test reviews by considering two sides of one review. It extends the DSA framework from polarity (positive-negative) classification to 3-class (positive, negative, neutral) classification, by taking the neutral reviews into consideration. By dual sentiment analysis proposes approach is to analysis sentiment as well as its automatic rating count. This can be calculated by using user review on the basis of positive, negative and neutral response. Then calculate all review and display the result analysis.
Fingerprint Image Enhancement using DWT Domain with Adaptive Gamma Parameter

The efficiency of a fingerprint authentication system depends on the quality of the fingerprint image. Enhancement of the fingerprint image is indispensable to get a good quality image. In this paper, a novel method is proposed to enhance the fingerprint image using Adaptive Gamma Parameter with Discrete Wavelet Transform (DWT). An automatic transformation technique that improves the brightness of low quality images via the gamma correction and probability distribution of luminance pixels using DWT is presented. In this study, experiments have been conducted on the fingerprint database FVC2004. The Peak Signal-to-Noise Ratio (PSNR), Signal-to-Noise Ratio (SNR), Root Mean Square Error (RMSE) and Mean Square Error (MSE) measures have been used to compare the proposed method with the existing methods.
CLINICAL AND RADIOLOGICAL STUDY OF THE EFFECTS OF NANO ZINC OXIDE ON FRACTURE HEALING IN RABBITS

The aim of this study was to evaluate the effects of Nano Zinc oxide on fracture healing. Twelve healthy adult rabbits were used. The animals were divided into two equal groups (control and treated groups). Rabbits were anesthetized by receiving acepromazine as premedication at dose rate of 0.1mg/kg B.W intramuscular and 10 min. later (xylazine hydrochloride 6mg/kg and ketamine hydrochloride 35 mg/kg) was injected intramuscularly. In the control group a transverse mid-shaft femoral fracture was done, and fixed by intramedullary pinning, while in the treated group, same as in the control group, but after fixation liquid solution of Nano Zinc oxide was applied on fracture site. The results of radiological examinations at the end of 2, 4, and 8 weeks post-operation revealed that, periosteal reaction at the end of 2 week, invisible of fracture line at the ends of 4 weeks, and incorporation of external callus with cortical bone at the end of 8 weeks in treated group compared with control group.
Comparative Study of Some Intrauterine Treatment Regimes on Bacterial Causes of Repeat Breeders in Iraqi Buffaloes.

The present study was undertaken to examine the efficacy of different treatment regime using Nigella Sativa, Quercus Infectoria, oxytetracycline and Lugol's Iodine on conception rate of repeat-breeding Iraqi buffaloes. Data were collected from 44 Iraqi buffaloes with repeat breeding in AL-Thahab AL-Abied village in Baghdad province and AL-Qasim village in AL-Hilla city from 2014-2015. All buffalo cows were characterized as repeat breeding of more than three natural services with regular oestrous cycles with-out any signs of pregnancy. Buffaloes were randomly assigned to four treatment groups of 11 cows each. Buffaloes in group 1 were treated with 50ml Lugol's Iodine 1% intrauterine(IU),in group2 buffaloes received 4gm20% oxytetracycline, buffaloes in group 3 treated with 3gm of extract of Quercus Infectoria IU andgroup 4 received 5gm of Nigella Sativa extract IU. All buffaloes were mated during oestrus and pregnancy status was diagnosed by palpation of uterine contents at day 45. Pregnancy rates in treatments 1 to 4 were 81.8, 72.7, 63.6 and 81.8%, respectively. It could be concluded that the use of Nigella sativa and Lugol's iodine increased the pregnancy rate and reduced days open compared with other groups.
Analysis of Clustering Techniques for Query Dependent Text Document Summarization

-World Wide Web is a huge collection of data of different file formats. With the coming of the information revolution, electronic documents are becoming a principle media of business and academic information. In order to fully utilize these on-line documents effectively, it is crucial to be able to extract the gist of these documents. It is not the case that a particular clustering algorithm is best suited for clustering of documents of different file formats.Having a Text Summarization system would thus be immensely useful in serving this need. In order to generate a summary, we have to identify the most important pieces of information from the document, omitting irrelevant information and minimizing details, and assembling them into a compact Coherent report. A particular Clustering algorithm is best suited for query dependent text document summarization. As every document we can convert into text, this strategy is much needful for the end users. The conclusion is drawn by using and comparing two different clustering algorithms namely Nearest Neighbor and Agglomerative Hierarchical Clustering Algorithm.
Detecting spammers in YouTube: A study to find spam content in a video platform.

:- Social networking has become a popular way for users to meet and interact online. Users spend a significant amount of time on popular social network platforms (such as Facebook, MySpace, or Twitter), storing and sharing personal information. This information, also attracts the interest of cybercriminals. In this paper, a step further is taken by addressing the issue of detecting video spammers and promoters.
EXTRACTIVE SPECTROPHOTOMETRIC METHOD FOR DETERMINATION OF LACOSAMIDE IN BULK AND ITS PHARMACEUTICAL DOSAGE FORM

A new economic, industrially acceptable and readily adaptable method has been developed following a complexation (acid-dye method) between antiepileptic drugs and Bromocresol green (BCG) dye and validated for determination of this drug in bulk and its pharmaceutical dosage form. Drug used during analysis i.e. lacosamide was reacted with BCG in presence of hydrochloric acid buffer pH 1.2. The colored complex formed was extracted with chloroform and the absorbance of the solutions were noted which followed a beer’s law in concentration range of 10-60 μg/ml for Drug-BCG complex with correlation coefficient close to 0.9914. The method was validated as per ICH guideline for accuracy, precision, limit of detection and limit of quantification. The developed Spectrophotometric method has the advantages of speed, simplicity, sensitivity and more affordable instrumentation and could find application as a rapid and sensitive analytical method for Lacosamide.
Impact of Recent Trends in Drug Discovery and Development

Discovery and development of a new drug is a very complex process as it takes long duration and various resources. The practice of drug discovery has been speeding up with the use of newer advanced techniques to increase the efficiency of the process. Various recent technologies like bioinformatics, computer-aided drug design (CADD), combinatorial chemistry has considerably extended its range of applications and spanning almost all stages in the drug discovery process. Chemical compounds can be screened out for their biological activity with target through high-throughput screening (HTS). Advanced technologies are using successfully now days due to speed up, low expenses and greater success rates in drug development. The main objective of this mini review is to highlight the utility of various recent trends in drug discovery.
THE IMPACT OF FINANCIAL LEVERAGE ON FIRM PERFORMANCE: A CASE STUDY OF LISTED OIL AND GAS COMPANIES IN ENGLAND

The study has investigated the effects of debt ratios on the firm performance through employing a data of 99 financial statements of 18 British Gas and Oil companies from 2009 to 2014. There were two dependent variables used in this research including ROA (return on assets), ROE (return on equity), while three independent variables were STD (short term debt to total asset), LTD (long term debt to total asset), TD (total debt to total asset). Besides, the author also used one control variable which is GROWTH (growth of assets). The result revealed that there were strong negative impacts of financial leverage measured by LTD and TD on performances of ROA and ROE, while STD had insignificant effects on ROA and ROE of these firms. Based on the results, the firms having high level of long term debt and total debt tend to show poorer performance of return on assets and return on equity. Hence, In order to obtain a wealthy performance, these firms should consider carefully deciding an “optimal capital structure” where both elements of bankruptcy cost and cost of capital can be minimized.
An Adaptive Technique for Restoration of Real Blurred Images under Unknown Conditions

-Recently, a normalized image prior was proposed so that the global minimum would not correspond to the blurred image . Multi-resolution approaches, which avoid some local minima, were recently proposed. Good local minima can also be found by using continuation schemes, where the regularizing parameter is gradually decreased . A recent come within reach of although not requiring previous in arrange on the blurring sift achieves high-tech recital for a wide range of real-world BID tribulations. In this paper, we improve upon the method of . We fully embrace the UBC, without an increase in computational cost, due to the way in which we use the alternating direction method of multipliers ( ADMM) to solve the minimizations required by that method . We propose a new version of that technique in which both the optimization tribulations with respect to the unknown image and with respect to the anonymous blur are solved by the irregular direction technique of multipliers(ADMM) – an optimization tool that has recently sparked much interest for solving inverse problems, namely owing to its modularity and state-of-the-art speed. Furthermore, the convolution operator is itself typically ill-conditioned, making the inverse problem extremely sensitive to inaccurate filter estimates and to the presence of noise. The results are shown in MATLB Platform effectively.
SERICIN AS A CHOLINERGIC MODULATOR IN ALZEIMER’S DISEASE INDUCED RAT

Objective: Alzheimer's disease (AD), characterized by formation of Amyloid plaques, neurofibrillary tangles and loss of neurons in the cerebral cortex and certain sub-cortical regions eventually results in gross atrophy of the affected regions, including degeneration in cholinergic regions. According to Cholinergic hypothesis, AD is caused by reduced synthesis of the neurotransmitter ACh, wherein the AChE levels were increased which causes damage to the cholinergic neurons finally leading to cognitive impairments. Today most of the drugs available in the market are Cholinesterase inhibitors to treat AD, these drugs temporarily de accelerate the progressive cognitive decline in some AD cases but not all other forms of dementia. Research on Alzheimer’s proven the importance of the Antioxidants and AChEI to treat AD. To cure AD effectively it is necessary to identify a natural product with Antioxidant and AChEI activity. The Silk Protein, Sericin a natural protein has wide applications in the Pharma industry. Methods: The present study was aimed to evaluate potential “AChE inhibitor” activity of Sericin in AD-induced rat model by conducting experiments mainly on the Cholinergic system and also on the Morphometric and Cognitive aspects in control and experimental rats. \ Results: The results of the present study demonstrated that Sericin could effectively counteract the AChE activity in AD-induced rat and retains the ACh levels in the brain cholinergic regions. In the end of the experiment AD-induced rat showed recovery tendency in Morphometric and Cognitive aspects are the passive evidence for decline AD-induced AChE levels. Conclusion: From this study, it may suggest that Sericin act as a potential Cholinesterase inhibitor in AD.
Review on Application of Xanthan Gum in Drug Delivery

Xanthan gum is a commercially important polysacchar ide that has immense applications in diverse fields due to its unique rheological properties. Th ey are used in food industries, pharmaceutical indu stries, agricultural industries, textile industries etc. Th is particular exopolysaccharide is produced by Xanthomonas campestris bacteria utilising glucose as the major carbon sou rce. Xanthan gum has been preferred in pharmaceutical formulations as a gelling agent, bin der and disintegrant. Controlled drug release is es sential in order to increase the efficacy of the drug delivery to the target region without causing a toxic effec t. Xanthan gum has the potential in retarding drug release to its gelling nature and ability of entrapping the dr ug within the gel. In this review, use of xanthan gum in various drug delivery systems has been discussed.
A Survey on Fully Reused Architecture of FM0 & Manchester Encoding for DSRC Communication

: Manchester coding strategy is an advanced coding procedure in which every bits of the binary information are rearranged in a specific arrangement. Dedicated Short Range Communication is a simplex or duplex short range to medium range remote correspondence. It is utilized to support Intelligent Transport System (ITS) applications, for example, electronic toll collection, parking area, border crossing distinguishing proof etc. It proposes a VLSI engineering architecture similarity-oriented logic simplification (SOLS) procedure. The SOLS comprises of two centre strategies: area-compact retiming and balance logic operation sharing. The area-compact retiming moves the equipment and hardware resource to diminish 5 transistors. The balance logic operation sharing productively utilizes miller operator encodings to the completely reused hardware design. With SOLS strategy, we develops a completely reused VLSI design of Manchester and FM0 encodings for DSRC applications. This paper likewise demonstrated that range compaction of proposed VLSI design contrasted with existing strategy.
A literature Survey on Multilingual Sentiment Analysis

Sentiment analysis which often goes by the name opinion mining is one of the prominent field in lots of research is going on due to its endless application like social media monitoring, product reviews etc. But due to the prominent use of social media the use of multilingual statements has become most common as user tends to in their own comfort zone. These multilingual statement arises due the use of more than one language to make a statement. Due to lack of clear grammatical structure it is very difficult to find correct sentiment out of it. We present some techniques which can be used to analyse these multilingual statement correctly
Phosphorus Desorption Study Using Dialysis Membrane Tube Filling Fe-Al-Mn Ternary Mixed Nanocomposite from Different Farming Practice of Acidic Soil

Knowledge of the effect of the P remaining in the soil (residual effect) is of great importance for fertilization recommendation. Environmental applications of nanotechnology address the development of solutions to the existing environmental problems, preventive measures for future problems resulting from the interactions of materials with the environment. For this purpose, Fe-Al-Mn ternary mixed oxide nanocomposite adsorbent with 70, 25 and 5 percentage composition of Fe, Al, Mn respectively was synthesized by impregnation method. Its crystal structure was hematite with 20.31 nm size and 69.93 m 2 /g surface area. The study of phosphate desorption was carried out on different farming practices with four types of treatments: Sole Maize conventional practice (SMCP), Sole Maize conservational agriculture (SMCA), Sole Haricot bean conservation agriculture (SHCA) and Maize-Haricot bean intercropping conservation agriculture (MHCA). The simulation of phosphate desorption from soil to plant was predicted by dialysis membrane tube filled with the ternary mixed nanocomposite (DMT-FeAlMn). DMT-FeAlMn was founded to be the promising adsorbent to simulate the plant–phosphate relation in acidic soil or to estimate the properties of soil for phosphate desorption to the soil solution. The observed desorbed of phosphate was significant in the treatment order of SMCP < SHCA < SMCA < MHCA. The releasing rate of phosphate from soil followed first order kinetics having SMCP (R 2 = 0. 996), SMCA (R 2 = 0.997), SHCA (R 2 = 0.993), and MHCA (R 2 = 0.991) with rate constant 0.0006hr -1 . Keywords: Desorption, Nanosized Fe-Al-Mn mixed oxide, Residual soil-phosphate, Farming practice
Low Power of Ring Oscillator Based on CNTFET

In this paper, architectures of NOT gate and conventional ring oscillator have been proposed using C-CNTFETs and their operational characteristics are checked using the simulator Agilent Design System (ADS). The CNTFETs use a semiconducting Carbon nanotube (CNT) channel controlled by isolated electrostatic gates. Circuit-compatible model of conventional CNTFET, which demonstrates n and p type switching behavior depending on the gate voltage, is implemented in ADS and the designs are extensively simulated in ADS. This paper introduces the analysis of the impact of diameter of CNT variations, especially logic switching propagation time and the oscillation time period. The C-CNTFET inverter and ring oscillator are designed and their speeding and performances have investigated with the proposed compact mod el. In fact we have achieved for the ring oscillation RO6 an oscillation frequency equal to 7.04 GHz and power consumption equal to132.8 aW.