Miracle-dz/UniFAR-FTUs huggingface dataset:
Controlled-Release Effervescent Floating Tablet of Verapamil Hydrochloride: Development and Opitmization

Objective: The objective of this study was to controlled release effervescent floating tablet of verapamil hydrochloride: development and optimization in combination with natural polymer Xanthan Gum. Method: Tablets were prepared by direct compression, using Xanthan Gum, HPMC K15 M, PVP K30, polymer in various proportions in combination, Further, the Prepared Floating Tablet were characterized for Weight variation, Friability, Hardness, Thickness, Uniformity, Drug-excipient compatibility, In vitro floating, Swelling Index and Stability studies. Result: Complete swelling was achieved by the end of 8 h, so percent swelling was determined at the end of 8 h for all the developed formulations. The formulations F1, F5, F6, F9, and F10 exhibited more than 75% drug release at 12 h. The formulation F1 exhibited a maximum of 30 % drug release in the 1st hour and constant release for almost upto 12 h. Based on the in vitro evaluation data, formulation F1 was considered as optimized formulation. On calculating and comparing R2 values for Higuchi, Korsmeyer-Peppas, matrix, and other models, F4, F5, F7, and F12 gave a good fit to the matrix model, F10 fitted the Higuchi model, and the remaining formulations were best fitted in the Korsmeyer-Peppas model. Conclusion: From the above studies, it has been observed that effervescent based floating drug delivery system is a promising approach to achieve controlled release behavior containing Xanthan Gum, HPMC K15 M rate controlling polymer for the effective treatment high blood pressure and to control angina.
EMPIRICAL IMPLEMENTATION NAIVE BAYES CLASSIFIER FOR WSD USING WORDNET

In this paper research work implemented Naïve Bayes classifier approach to Word Sense Disambiguation using WordNet as complete lexicon English words and senseval 3 for evaluation WSD approach. The data set consists of 10 nouns and 5 verbs. To meet the goal of the study research work developed Java code. The result reported in this work achieved it was (58.32 %) accuracy according to the senseval 3
GENETIC BASIS OF CHRONIC MYELOID LEUKEMIA

Chronic myeloid leukemia is a malignancy characterized by proliferation of myeloid series of hematopoietic stem cell. It is characterized by an initial chronic phase followed by an accelerated phase leading to a late blast phase which happens 3-4yrs after the disease onset. It was initially believed that CML is a three step process 1 but Jeral P.Radish proposed that it is a two-step process , with new gene expression changes occurring early in accelerated phase before the accumulation of increased numbers of leukemia blast cells. The chronic phase is characterized by accumulation of myeloid progenitors and mature cells in blood and extramedullary tissues. The blast phase 2 shows a maturation arrest in myeloid or lymphoid lineage. The only cure for this disease is allogenic stem cell transplantation if given in chronic phase but the therapy itself is a complex and potentially toxic modality. Treatment with Interferon α delays progression of the disease to blast crisis and in 10-20% of patients results in complete remission. Blast crisis is highly resistant to treatment, often leading to death secondary to complications like infection or thrombosis. The beginning of the use of Interferon as treatment for CML started in 1983 after a report by Tapez et al which proposed that leukocyte IFN induced 3 cytoreduction in CML . This proposal was approved by certain other 4,5,6 studies
SUPPORT VECTOR MACHINE FOR PERSONALIZED E-MAIL SPAM FILTERING

E-mail is one of the most frequently used personal and official communication tool over the Internet. The continually increasing ratio of spam e-mails over legitimate e-mails and adversarial nature of spam e-mails lead to the requirement of employing spam filter that can be updated dynamically. Moreover, the discrimination criteria of spam and legitimate e-mails vary for different users worldwide. This leads to the personalization of e-mail spam filter which automatically adapts individual user’s characteristics. We propose an incremental learning model for personalized e-mail spam filtering. We apply support vector machine - a supervised machine learning algorithm & a discriminative classifier for the designing the classification model. We apply incremental learning using support vector machine for the development of a dynamically updated filter. Our model is evaluated on two different datasets that consist of a set of e-mails structured according to the order of arrival. Experimental results confirm the superior performance of incremental learning over the batch learning model. The inclusion of incremental learning when the distribution of data is different in training and testing sets helps improving classification accuracy and decreases the false positive rate substantially.
ENHANCED DBSCAN ALGORITHM

— The DBSCAN algorithm can identify clusters in large spatial data sets by looking at the local density of database elements, using only one input parameter. This paper presents a comprehensive study of DBSCAN algorithm and the enhanced version of DBSCAN algorithm The salient of this paper to present enhanced DBSCAN algorithm with its implementation with the complexity and the difference between the older version of DBSCAN algorithm. And there are also additional features described with this algorithm for finding outliers.
COMPUTATIONAL ANALYSIS OF MOLECULAR SEQUENCES OF MYCOBACTERIUM TUBERCULOSIS AND LEPRAE ON THE BASIS OF PATHWAY ANALYSIS FOR DRUG TARGET IDENTIFICATION

The genus Mycobacterium is best known for its two major pathogenic species, M. tuberculosis and M. leprae , the causative agents of two of the world's oldest diseases, tuberculosis and leprosy, respectively. M. tuberculosis kills approximately two million people each year and is thought to latently infect one-third of the world's population. Proteins of these two strains vary a lot and do share some similar characteristics too. Wet lab experiments usually used to classify the proteins of these strains are highly expensive, labor intensive and time consuming. Thus there arises a need for computational approach for classification of H37Rv and Leprae . These computational approaches are fast and economical as compared to wet lab techniques. Realizing their importance, in this paper an attempt has been made to correlate strains on the basis of literature review and pathway analysis and predict them with fair accuracy. A pathway analysis is done and pathway is drawn using bioinformatics tool on the basis of literature survey showing relation between M Leprae and M.TB .
An Efficient Neural Network Model by Weight Roll Algorithm

Deploying deep learning models require extraction of the model weights from the training environment and saving them to files that can be shipped to production. Often complex models have large model file size and it is difficult to transport those models, this paper aims to reduce the size of the model file while transferring the trained weights to production environment. Weight rolls is an algorithm that rolls down (reduces) the trained model weights to a smaller size, in some cases even reduced by a proportion of one thousand (1,000). On the production environment this is again unrolled to regain the original weights that were learned by the neural network during its training phase. Weight rolls uses a compressed pictorial representation of the weights array along with a pix-to-weight neural network to transport the learned weights which can be used on the other end for the unrolling process. The pix-to-weight network maps the pixels of the compressed weight image to the original floating point values which in the unrolling phase is used to transform the pixels into corresponding floating point values of trained weights.
Simulation Analysis of MCQ Based Topology Control in MANET Using NS2

: Mobile ad-hoc network (MANET) is the wireless network where the communication and routing is independent from the infrastructural components and devices. Apart from them, all the functionalities were handled by the mobile nodes. MANET is been thoroughly studied over the last few years and its various implemented simulations are extensively analysed against the practicalities and applicability issues. As the MANET is a mobile nodes network hence the nodes must support mobility with connection continuity in any topology situations. Here the topology means network connection which a network has made for establishing the communications. But as the nodes were regularly changing their positions hence their topology also changes which requires a dynamic handling mechanism. Also there are some other factors which need to be maintained during this topology handling. The work suggested with MCQ-TC covers the theoretical aspects and formal drafting of the concept. The work suggested that mobility, quality and connectivity will affects the topology of the system. Thus is the following factors are watched then the topology can be maintained dynamically. This paper works towards making a robust experimental analysis of the suggested work using the well known simulator NS2.
SIMULATION STUDY OF AODV AND DSR ROUTING PROTOCOL IN WIRELESS AD-HOC NETWORKS

Ad-hoc wireless networks are defined as the category of wireless networks that utilize multi hope radio relaying and are capable of operating without the support of any fixed infrastructure. Wireless mesh networks and wireless sensor networks are specific examples of wireless ad-hoc networks. This paper discusses in detail the functioning of AODV and DSR routing protocol In different propagation modes . More specifically In our study, we mainly focus on the performance of routing protocol(AODV,DSR) for each propagation model by using the well known network simulator NS-2.34. Ad-hoc networks exhibit reduced the data rates as compared to wired network, with an order of magnitude, this is the main difference between the ad-hoc and wired networks.
ANTAGONISTIC ACTIVITY OF ACTINOMYCETES ISOLATED FROM SOIL SAMPLES OF SATARA DISTRICT, MAHARASTRA, INDIA AGAINST SELECTED HUMAN PATHOGENS

The present study was undertaken to isolate, identify and determine the anti-microbial profile of antagonistic actinomycetes from different soil samples. Actinomycetes were isolated from the soil samples of two different microecosystems namely, Koyna river bank and Sugar factory effluent discharge point from Satara district, Maharastra, India. 58 actinomycetes were isolated from 30 soil samples and only 12 isolates (20.69%) exhibited inhibitory activity against the sensitive Escherichia coli (MTCC 739). Soil samples from Koyna river bank yielded greater number of antagonistic actinomycetes (27.27%) followed by those of sugar factory effluent discharge point (12%). Nine isolates with high inhibitory activity, were further tested for their inhibitory profile against nine human test pathogens, Staphylococcus aureus, Salmonella typhi, S. paratyphi A, S. typhimurium, Shigella flexneri, S. sonnei, Klebsiella pneumoniae, Vibrio parahaemolyticus and Candida albicans by modified cross-streak assay. All the nine antagonistic actinomycete isolates tested (100%) exhibited antagonism at varying levels against any one of the human test pathogens. The actinomycete isolate KY-33 exhibited a high degree of inhibitory activity against all the test pathogens both in terms of the number of test pathogens inhibited and the zone of inhibition. The isolate KY-33 was subjected to standard chemotaxonomic schemes of identification. With the presence of LL-DAP, glycine, absence of characteristic sugars and G: C content of 71.98%, the isolate KY-33 was classified under cell wall chemotype-I, sugar patternC and was identified to be belonging to the genus Streptomyces. The results of present study clearly suggest that soil samples rich in organic matter with a high C:N ratio are the potential source of antagonistic actinomycetes and a large number of antagonistic actinomycetes producing a diverse classes of anti-microbial compounds can be isolated from these ecosystems.
Obstructed Defecation Syndrome does the Starr Procedure Take Place? Technical and Functional Facts

Among the types of constipation, patients with Obstructed Defecation Syndrome (ODS) represent a subgroup with serius deterioration of quality of life, to whom we can offer surgical correction of the anatomical alterations which determine their symptoms. The challenge is complex, since it is important to achieve the improvement of the functionality in the bowel mechanism which is affected under these circumstances. For the ODS determined by a previous rectocele, associated (or not) to a rectoanal intussusception, there are various approaches which are described, with variable acceptance and uncertain longterm results. Among the resection techniques, the procedure called Stapled Transanal Rectal Resection (STARR) was proposed in the early 2000’s by the doctor Antonio Longo with interesting arguments on its favor [1]. The purpose of this communication is to present our experience with the approach, analyze its feasibility and results in our place, revising the national and international evidence.
Asymmetric Cascaded Half Bridge Multi Level Inverter with Permanent Magnet Synchronous Motor (PMSM)

1Assistant Professor, Dept. of EEE, PBR Visvodaya Institute of Technology and Science, Kavali, A.P, India 2Assistant Professor, Dept. of EEE, PSCMR College of Engineering & Technology, Vijayawada, A.P, India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract In latest previous, countless multilevel architecture got here into existence. In this background, cascaded multilevel inverter (CMLI) is the promising structure. This kind of multilevel inverters synthesizes a medium voltage output centered on a sequence connection of vigor cells which use typical low-voltage aspect configurations. This attribute makes it possible for one to obtain high-fine output voltage and current waveforms. Nonetheless, when the number of phases rises switching components and the count of dc sources are also accelerated. This limitation grew to become a key motivation for the reward paper. In this paper, New uneven cascaded half of H bridge multilevel inverter with permanent magnet synchronous motor is proposed. It's pushed from the conventional asymmetric cascaded half H Bridge multilevel inverter. As a result, the proposed topology inherits its simplicity, flexibility and modularity in each building and control. The proposed topology switching pattern naturally reduces components voltage stress, switching losses and sooner or later decrees MLI dimension and fee. The validity of the proposed topology is validated with Matlab/Simulink design.
Salt iodization and thyroid function of pregnant women in early pregnancy in Owerri-southeast Nigeria

Studies have shown that one of the greatest challenges in the global fight to eliminate IDD is ensuring sustainability of effective iodization programs. Regular assessment of iodine status of the most vulnerable population and monitoring the progress of salt iodization programs are cornerstones of IDD control strategy. This study measured the iodine content of common table salts sold to the population studied and assessed the thyroid activity and urinary iodine concentration of pregnant women in their first trimester of Pregnancy. The results of the iodine content of the common table salts showed that all the salt sampled from the markets and shops contained iodine at concentration range of 12.7±0.60 mg/kg – 74.1±4.00 mg/kg. Majority of common salts sampled met the required iodine content. Biochemical assessment showed that the median serum concentrations of TSH, T4, T3 and Urinary Iodine excretion were 1.35 μIU/ml, 10.45 μg/dl, 189.6ng/dl and 175. 6μg/l respectively. These values indicated optimal iodine nutrition and healthy thyroid status.
Assessment of Land Use and Land Cover Change Using GIS and Remote Sensing: A Case Study of Kieni, Central Kenya

To investigate land use land cover changes (LULCC) in the Kieni sub-county in Central Kenya from 1987 to 2017, remote sensing and Geographical Information System (GIS) was used. This was done by downloading and processing landsat images of 1987, 1995, 2000, 2010 and 2017. Methods employed were, data identification and acquisition, image processing, validation and presentation. There were six classifications analysed which were; bare areas, bushlands, farmlands, forest, grasslands and waterbodies. The results showed an increase in the classes of water bodies, farmlands and bare areas by 314.86%, 160.45% and 73.18% respectively over the 30-year period. The results also showed a decrease in the land use land cover classes categories of forest, bushlands and grassland by 45.94%, 38.73% and 29.66% respectively. Therefore, in conclusion, there were land use and land cover changes in the study area over the 30-year period between 1987 and 2017 as illustrated by results that showed that farmlands classification increased by more than one and half times while forest cover was reduced by about a half.
Geographical Routing Problem of Wireless Sensor Networks with Multiple Mobile Sinks

— In this study, the problem of building Level-based topologies for Wireless Sensor Networks with several sinks is considered. The optimization relies on different levels of decision: choosing which sensors are masters and balancing the load among sinks, in order to prolong the network life time and improve its scalability. In this paper we present an enhancement to the GRPW algorithm for wireless sensor networks. Performance of GRPW algorithm depends heavily on single sink position , we propose a protocol based on Multiple Static Sinks, we modified the existing sink location privacy protection scheme by dividing nodes in the network containing multiple sink into different levels in which real packets are forwarded to sink belong to corresponding logical levels and the intermediate node generating fake packets and sending it to fake sinks. Using OMNET++ simulation and the MiXiM framework, it is shown that proposed protocol significantly improves the robustness and adapts to rapid topological changes with multiple sinks, while efficiently reducing the communication overhead and the energy consumption .
Underwater Wireless Sensor Networks Throughput Efficiency Maximization Using Multi Hop Topology

— In this paper, we investigate the effect of packet size selection on the performance of media access control (MAC) protocols for underwater wireless sensor networks, namely, carrier sense multiple access (CSMA) and the distance-aware collision avoidance protocol (DACAP). Our comparative analysis, conducted via ns-2 simulations, considers scenarios with varying, nonzero bit error rate (BER) and interference. We investigate met-rics such as throughput efficiency (the ratio between the delivered bit rate and the offered bit rate), end-to-end packet latency, mea-sured “per meter” to allow for different sizes of deployment areas, and the energy consumed to correctly deliver an information bit to the network collection point. Our results show the dependence of these metrics on the packet size, indicating the existence of an optimum. The optimum packet size is found to depend on the protocol characteristics, the bit rate, and the BER. For each protocol and scenario considered, we determine the packet size that optimizes throughput performance, and we show its effect on the normalized packet latency and on energy consumption. It uses a two-hop acknowledgment (2H-ACK) model where two copies of the same data packet are maintained in the network without extra burden on the available resources. The endings on the relationship between data packet size, throughput, bit error rate (BER), and distance between both communicating nodes are also presented.
Bioanalytical Validated LC-MS Method for Determination of Naproxen in Human Plasma

Naproxen is an anti-inflammatory drug belongs to the category of analgesics and antipyretics. Naproxen has the ability to bind and inhibit the synthesis of prostaglandins and produces anti-inflammatory effect. Naproxen also inhibits COX-II which is involved in the inflammation. Bioanalytical method for naproxen has been developed using human plasma. Standard stock solution of naproxen was prepared using methanol. Zidovudine was used as internal standard. The linearity of the proposed method was developed in the range between 100 and 10000 ng/ml. The slope of the curve was found to be 111.46 and intercept was 6395.2 and correlation coefficient was 0.999. The proposed method was evaluated with validation parameters like accuracy, precision and stability. The developed method is suitable for pharmacokinetic studies.
Diffusion Speed Model for Face Liveness Detection in True Face Authentication

: Spoofing is one of the features that biometric systems are confirm to be accessible to. When a biometric system by display a copy of the deposition of the user. Among all biometric, a face acceptance system is clear to perform. Spoofing attack is the action of outwitting a biometric sensor by performs a counterfeit biometric deposition of an authentic user. It is an explicit intrusion to the visual input of a biometric system and the hacker does not need previous knowledge about the recognition algorithm. Most of the modalities are not resistant to intrusion: the biometric systems are usually designed to only admit integrity without concern whether the integrity is live. Against the presence of very practical biometric systems nowadays, achieve anti-spoofing design for them in its inception. Existing approaches are simple to require track the components, which leads to an gain in the time, and highly cooperative user actions are also required. In this system propose for catch the image. The design of the suggested method is that the change in tract between lives and fake faces predicted by using diffusion speed. Compared with the existing system, the method performs the image intermediate and varying illuminations
IDENTIFICATION OF OMEGA-3, 6 AND 9 FATTY ACIDS COMPOSITION AND LIPID CONTENT IN LIVER AND MUSCLE TISSUES OF SALMO SALAR IN THE SOUTH OF THE CASPIAN SEA

Fish are a unique dietary source beneficial to human health. These valuable effects originate from Omega-3 polyunsaturated fatty acids, particularly EPA and DHA in the fish oil. These essential fatty acids keep the blood cholesterol level low and thus helps in controlling the cardiovascular diseases. In the present study, the liver and muscle tissues of Salmo salar from Chalus region in the south of the Caspian Sea, Iran in June 2015 were separately extracted for their lipid content especially Omega-3, 6 and 9 fatty acids composition using the method of Blight & Dyer. The compounds were determined by Gas Chromatography-Mass Spectrometry (GCMS). The components detected in the liver and muscle tissues, including saturated fatty acid Palmitic acid, monounsaturated fatty acid Oleic acid, polyunsaturated fatty acids Eicosapentaenoic acid (EPA), Docosahexaenoic acid (DHA) and Linoleic acid and two methyl esters of fatty acids including Octadecanoic acid, methyl ester and Hexadecanoic acid, methyl ester. The results showed that the dominant fatty acids in liver and muscle tissues of Salmo salar were Oleic acid (37.6845.46%), Palmitic acid (28.3431.93%), EPA (8.329.82%), Linoleic acid (5.896.02%) and Docosahexaenoic acid (5.635.68 %).