Miracle-dz/UniFAR-FTUs huggingface dataset:
SPEED CONTROL OF MECHANICAL SYSTEMS WITH BACKLASH

Backlash is one of the most important nonlinear phenomenons which limits the control of position and speed. Control of systems containing backlash has been a research subject since 1940. This article is about software based solutions for controlling these systems. The speed control is carried out by a PID-controller and a compensator. The suitable controller is designed using genetic algorithm. To evaluate the system performance, we use the maximum overshoot and error performance index.
Identificación de posibles dianas terapeúticas para el tratamiento de la leucemia

in English, 250 words or less): This project presents a workflow to identify potential therapeutic targets for a given pathology using public databases. As first step, the genes involved are selected, pulling them through a bash script from BioMuta bases and DisGenet data. With these genes, an interaction network on Cystoscape is built, allowing the central nodes to be extracted with great connectivity (2600 neighbors grade 2). Along with these 68 core genes in the network, all related proteins and their interactions are loaded in the mesh, with the help of Biogrid and Reactome, and we get a new network. From this network we will also get the core proteins (2500 neighbors grade 2) obtaining 16 candidates for therapeutic targets. We tested the viability of such targets by calculating on one hand their druggability and on the other by searching in Drug Gene Interaction Database, where we will obtain an index of potential drugs to deal with it. As a consequence we obtain that the best therapeutic target for leukemia would be the alpha chain of casein kinase 2 (CSNK2A1) because it has a very high druggability, of 92%. For this target there are potential drug candidates, such as the Ellagic Acid found in fruits and vegetables as strawberries or the resveratrol, found in grape skins. Both compounds are being studied for other pathologies. Palabras clave (entre 4 y 8): leukemia, CSNK2A1, casein kinase 2, ellagic acid, druggability, gene target, drug repositioning, resveratrol
EVALUATION OF ANTIHISTAMINIC AND BRONCHODILATOR ACTIVITY OF A SIDDHA DRUG NAAURUVI KUZHI THYLAM

The prevalence of allergy and asthma (Suvasa irumal ICD-DBA1.3) has risen in the recent years despite an improvement in the general health of the population. Bronchial asthma (Suvasa irumal) is one of the most complex disorders of the airway characterized by reversible airway obstruction inflammation, bronchial hyper-responsiveness and excessive mucous production. Naauruvi Kuzhi thylam (NKT) is a Siddha herbal formulation indicated in literature for the management of Asthma (Suvasa irumal). However the drug is not ethically validated hence the present study was focused to evaluate the in vitro antihistaminic action of NKT in isolated guinea pig ileum and in vivo bronchodilator activity was carried out in four groups of guinea pig each consisting of five animals. Group 1 was treated as control, Group II received NKT at the dose 250 mg/kg and Group III animals received NKT 500 respectively. Group IV animals received the standard drug Chlorpheniramine maleate 2mg/kg. Prior to drug treatment each guinea pig was exposed to an atomized fine mist of 2% w/v histamine dihydrochloride aerosol. The results were statistically analysed by one way analysis of variance (ANOVA) followed by Dunnet “t” test. The results conclude that the study drug NKT possess antihistaminic and bronchodilator activity.
Applications of Data Mining Techniques in Faculty Performance Analysis: A Survey

— Educational Data Mining (EDM) is one of the applications of data mining. In EDM, there are two key areas, one is related with students and the other is with faculty. A detailed research work has already been carried out in both domains. The purpose of this survey is to review the academic literature of the past three years in the area of data mining applied to the educational domain in a traditional classroom-based environment at Higher Education Institutions (HEIs). We described Educational Data Mining (EDM) and its main methods and techniques as they are applied to Faculty Performance Evaluation, and we proceed then to review 16 primary-research papers on the subject. The data mining methodology used for extracting useful patterns from the higher educational institutions database for extracting certain unidentified trends in faculty performance when assessed across different parameters. We determine that classification is by far the most popular method used by the primary-research studies, followed by clustering and association rule mining.
A technique for Carrier frequency offset estimation in OFDM-based systems for Frequency-Selective Fading Channels

— This paper discusses the effects of frequency offset on the performance of orthogonal frequency division multiplexing (OFDM) digital communications. The main problem with frequency offset is that it introduces interference among the multiplicity of carriers in the OFDM signal. The aim of this survey is to investigate Carrier frequency offset estimation method in based OFDM systems. According to this, using maximum likelihood estimation algorithm (MLE), the carrier frequency offset (CFO) can be estimated. A maximum likelihood estimation (MLE) algorithm is derived and its performance computed and compared with simulation results.
Primary Angle Closure Glaucoma: A Review

Glaucoma is a leading cause of irreversible blindness worldwide. Primary angle closure glaucoma (PACG), is the second most common form of glaucoma and associated with the closure of the anterior chamber angle. Peripheral anterior synechia (PAS) frequently develop due to an attack of prolonged acute attack or a series subacute attack of angle closure glaucoma. These PAS are usually high and broad and very difficult to find out whether the PAS formed before or during the attack or possibly at both times. Principal management strategy for PACG is about anterior chamber angle by understanding the early stages of appositional angle closure before the PAS. In this review, we describe the current understanding regarding the pathophysiology and treatment of PACG.
A Data Hiding scheme in motion vector of videos by LSB Substitution

—This paper deals with data hiding in the internal dynamics of video. Data hiding is the process of embedding information into host medium. Original message is being hidden within a carrier such that the changes so occurred in the carrier are not observable in the video. This paper describes how motion vector can be used as a carrier to hide data. The purpose of data hiding is to secretly transmit the secret message. This has overcome the disadvantage of existing hiding data system such as display the fonts differently and easily spotted in text steganography; a proper cover image is needed for image steganography. The advantage of proposed data hiding in video are: user cannot find the original data, it is not easily cracked. it increases the Security and increases the size of stored data. In the proposed method, the secret message bitstream is first encrypted by using RSA algorithm and the encrypted is embedded in the least significant bit by using Least Significant Bit and also use edge detection mechanism for selecting the pixel. The performance is calculated by using Peak to Signal Noise Ratio. The performance analysis shows that the algorithm ensures better security against attackers
Classifier Integration Model with Convolution Neural Networks

— An object classification scheme using Convolutional Neural Networks (CNNs) architecture is proposed in this paper. As a special case of deep learning, CNNs classify classes of images without any feature extraction procedure while other existing classification methods require rather complex feature extraction processes. Various fast CNN models are first designed and these models are then combined to make decision for our classification task. Experiments on the 101 Caltech Object data set show that the proposed scheme gives a promising performance of CNNs on both of training speed and classification accuracy aspects.
Preliminary Phytochemical Screening and in Vitro Antioxidant Potential of Aqueous, Hydro- Methanolic And Hydro-Ethanolic Extracts of Ginger (Zingiber Officinale): A Comparative Analysis Between Nigerian And Indian Variety

Ginger (Zingiber officinale Roscoe) is a herb that is well known and widely used, especially in Asia and Africa, which contains several interesting bioactive constituents and possesses health promoting properties. In this study, Phytochemical content and antioxidant potential of Nigerian and Indian ginger were assessed in an effort to compare and validate the medicinal potential of the plant. Aqueous, hydromethanolic and hydroethanolic extracts of Indian and Nigerian varieties were prepared by extraction process. Both varieties were found to contain high amount of secondary metabolites with exception of phlobotannins which happened to be in low quantity and tannins which is entirely absent in all the extracts. DPPH scavenging activity, Hydrogen peroxide and reducing power were assayed. The comparison carried out between different extracts of the two varieties using t-test at p=0.05 revealed a significant difference in terms of antioxidant activity. Indian variety was generally found to have more antioxidant activity than the Nigerian one with the exception of aqueous extract of Nigerian variety. This is probably due to high level of phenolics and flavonoids in the Indian variety. This study validated the medicinal potential of Zingiber officinale and established some relationship between the two varieties in terms of their antioxidant properties.
An Efficient Framework for Rule Mining Using Eclat on XML Data

— In today’s digital world data is been increasing like anything largely in unstructured file format. There are many data mining techniques to mine these files. But it is bit challenging affair to mine semi structured data like XML. Many researchers are engaged in mining rules from XML data using popular algorithms like Apriori. As Apriori creates large amount of candidate sets so it needs more processing space and execution time is also high as it keep creating the candidate sets at every time ,this creates confusion in many researchers to choose Apriori for large data sets. So our idea of extraction of rules from large datasets like Reuters using Eclat rule mining algorithm which uses intersection of transactions for generating candidate itemsets. Our approach enhances the Eclat performance by enforcing comparative vertical power sets for creation of candidate itemsets to enhance the quality of the rules with less processing space and also with less execution time.
ADAPTIVE CORE ALLOCATION FOR MAPREDUCE CLUSTERS IN CLOUD COMPUTING

Map Reduce is the heart of Hadoop, which is increasingly adopted as a programming paradigm by data intensive applications for distributed processing of large-scale data using a cluster of machines. Fixed slot-based resource management model used in Hadoop Map Reduce implementation suffers from performance degradation due to its indecorous resource allocation. Dynamic Map Reduce already exists to overcome the drawbacks of the traditional map reduce technique. The proposed paper introduces a technique called Adaptive Core Allocation for map reduce clusters to further optimize and improve slot utilization of existing Dynamic Hadoop Slot Allocation in Dynamic MapReduce. This will also lead to an effective utilization of processor. Experimental analysis shows the feasibility of the proposed algorithm which indicates the amount of time saved in order to process all tasks of an incoming jobs and it is compared with traditional map reduce techniques. Algorithm has been generated to prove the work
Antidepressant-Like Activity of Dimeric Dipeptide Mimetics of Different Bdnf Hairpin Loops is Determined by the Activationpattern of Trkb Receptor Signaling Pathways

Background: A growing number of evidence suggest that brain derived neurotrophic factor (BDNF) and signaling at its receptor, TrkB, are involved in the pathogenesis of depression. Earlier, we created dimeric dipeptides on the basis of the beta-turns of BDNF loops 1, 2 and 4 respectively bis-(N-monosuccinyl-L-methionyl-L-serine) heptamethylenediamide (GSB-214), bis-(N-hexanoyl-L-seryl-L-lysine) hexamethylenediamide (GTS-201) and bis-(N-monosuccinyl-L-seryl-L-lysine) hexamethylenediamide (GSB-106). All these dipeptides were shown to elevate the TrkB phosphorylation level while having different post-receptor signaling patterns. GSB-106 increased the levels of ERK and AKT kinase phosphorylation, whereas GTS-201 only increased the level of ERK phosphorylation and GSB-214 only increased the level of AKT phosphorylation. All dipeptides have demonstrated neuroprotective activity in vitro. An interesting observation was that GSB-106 exhibited significant antidepressant activity in the forced swimming test in mice, while GTS-201 and GSB-214 did not. These data suggests that the activation of both MAPK/ERK and PI3K/ AKT pathways are essential for the manifestation of antidepressant-like activity by BDNF mimetics. To test this assumption we studied the antidepressant-like activity of GSB-106, GSB-214 and GTS-201 in the social defeat model of depression in mice. Methods: C57BL/6 mice were exposed to 10 days of social defeat stress. Dipeptides GSB-106, GSB-214 and GTS-201 were administered intraperitoneally (ip) immediately after the each stress exposure session. In twenty-four hours since the last injections of the drugs, the forced swim test was conducted. Results: Among the studied dipeptide BDNF mimetics only GSB-106 statistically significantly attenuated the increase of immobility time in forced swimming test in stressed mice compared with untreated control. Conclusions: The antidepressant-like activity of the studied dipeptide BDNF mimetics is dependent on activation of both PI3K/AKT and MAPK/ ERK signaling cascades, whereas selective activation of PI3K/AKT or MAPK/ERK pathway does not produce antidepressant effects.
Characterization and the biofilm formation of uropathogens in the diabetic patients with catheter associated urinary tract infections (UTIs)

Background: There is confirmation that patients with diabetes have an extended peril of asymptomatic bacteriuria and urinary tract sicknesses (UTIs). UTI is the most notable bacterial defilement in diabetic patients. The purpose of this examination was to review the inescapability of UTIs among hospitalized diabetic patients and to perceive the most progressive microorganisms accountable for UTI. Material and Method: The examination masses included 1470 diabetic patients (847 women and 623 men), admitted to the Diabetes Clinic of IMS and SUM Hospital, Bhubaneswar, among January and December 2015. We assembled patients' near and dear history data and performed pee social orders. For real examination we used Graph Pad Prism 5; the significance of the difference between the rate regards was reviewed using Fisher's right test. Results: From irrefutably the quantity of patients, 158 had positive pee social orders, which implies 10.7%. Out of the hard and fast number of 158 UTIs, 124 (78.4%) were asymptomatic bacteriuria. The most standard microorganisms drew in with UTI was Escherichia coli (68.9%). Conclusions: UTIs are visit in diabetic patients. Because of the unprecedented degree of asymptomatic structures among diabetic patients, the pee culture should be performed in all hospitalized patients with diabetes.
Bioremediation By Dinoflagellates

Dinoflagellates are the second largest group of eukaryotic algae, with 2,000 species already described to date [1] just behind the diatom group which has 100,000 species [2]. Both groups are the basis of many food chains. Besides the species diversity, dinoflagellates feature various forms, habitats and nutrition. According to Wojciechowski et al. [3] these organisms are distributed in diverse aquatic, marine, freshwater or estuarine environments and are usually dominant in the summer. Some of the species in this group can be found on ice sheets and are called cryophile. Although most species are planktonic, dinoflagellates have some representatives from marine benthic and epicontinental habitats. Zooxanthellae are also part of the group, which are symbolic species responsible for the high productivity in coral reef systems.
A Novel Strategy for Performance and Analysis of Web Service Business Activity using Particle Swarm Optimization Technique

: Data mining is an interdisciplinary subfield of computer science. The web services business activity developed by the OASIS (Organization for the Advancement of Structured Information Standards) groups. The framework developed had an initiator, a coordinator, and more than one participant. But with increased number of participants and unlimited number of clients and servers the problem of fault recognition became critical. The problem of faulty nodes at either client or server node was detected by lightweight Byzantine Fault Tolerant (BFT) system. The BFT is used for the selection of the appropriate server and client nodes using a Travelling salesman problem. The problem of both client and server node selection was further improved by the use of a heuristic technique known as Particle Swarm Optimization which helps in finding the global best and local best server and client nodes. PSO gives a better and faster method of fault tolerance and enhances the performances than BFT.
Multifocus and multispectral image fusion based on pixel features using discrete cosine harmonic wavelet transformed and morphological filter

---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - The energy compaction and multi-resolution properties of wavelets have made the image fusion successful in combining important features such as edges and textures from source images without introducing any artifacts for context enhancement and situational awareness. The wavelet transform is visualized as a convolution of wavelet filter coefficients with the image under consideration and is computationally intensive. The advent of lifting-based wavelets has reduced the computations but at the cost of visual quality and performance of the fused image. To retain the visual quality and performance of the fused image with reduced computations, a discrete cosine harmonic wavelet (DCHWT) based image fusion followed by morphological filter using top hat transform is proposed. The performance of Enhanced DCHWT is compared with DCHWT image give remarkable differences.
Leakage Nulling Channel Estimation for OFDM Systems Based on DWT

: The proposed estimator consists of a time-domain (TD) index set estimation on the grounds that the leakage outcome followed through a low-complexity TD submit-processing to suppress the leakage. The performance and complexity of the proposed channel estimator are analyzed and established through computer simulation. Simulation outcome exhibit that the proposed estimator outperforms traditional estimators and provides near-most beneficial efficiency even as preserving the low complexity similar to the easy DWT-head quartered channel estimator.
A Compression Technique for Piecewise Smooth Images based on Transform Coding

Image compression has a wide range of application since it leads to reduction in storage space and easy transmission. Piecewise smooth image consists of sharp edge boundaries and smooth interior surfaces. This paper deals with compression of Piecewise smooth images using Graph Fourier Transform and Discrete Cosine Transform. In order to obtain better quality of reconstructed image blocks contains edge boundaries are transformed using DCT and smooth regions are transformed using both weighted GFT and unweighted GFT. In order to reduce the computational complexity, low pass filter and down sample a high resolution pixel block to obtain a low resolution one at the encoder, so that LR-GFT can be employed. At the decoder upsampling and interpolation are performed so that sharp edge boundaries can be preserved.
FOLK MEDICINE FOR YAKRIT VIKAARA (LIVER DISORDER)-A SCIENTIFIC REVIEW

Folk medicine still plays an important role in communities throughout India. It combines the organic and the spiritual healing tradition that seeks to maintain both personal and community harmony and equilibrium. Folk medicine is remembered, conserved and passed down by word of mouth, demonstration and repetition from one generation to the next. Only rarely this information are recorded or written down. Modern medical facilities are expensive and out of reach for many, especially those living in the rural areas. But the rural and tribal communities have always relied on traditional knowledge and medicines developed and transmitted from generation to generation. These communities have a store house of knowledge about their geographical flora and fauna and they know how to treat common ailments. Many formulations containing herbal extracts are available in the market for liver disorders. But management of liver disorders by a simple and precise herbal drug is still a captivating crisis. Hence, there is an ever increasing need for safe hepato-protective herbal agent. In the present study scientific analysis was done on numbers of folk medicine used by various tribal communities for liver disorder throughout India. As a consequence the study may provide the additional information regarding various kinds of traditional treatment modalities for liver disorder and also the scope for further scientific research.
Methicillin-Resistant Staphylococcus Aureus (MRSA) Colonisation level among Patients seen at a Tertiary Hospital in Maiduguri, Nigeria

Methicillin-resistant Staphylococcus aureus (MRSA) is the major causative bacterial pathogen responsible for hospital and community associated infections. Active surveillance remains the key component of MRSA infection control in the hospital setting. This study examined the MRSA colonization level among patients seen at the tertiary hospital. The study was conducted at University of Maiduguri Teaching Hospital, Nigeria. A standardized questionnaire and interview was employed in enrolling 231 patients into the study and 3 anatomical body sites (nasal, axilla and groin) per patient were swabbed and analysed by standard bacteriological techniques. A total of 981 specimens were analysed, 21(2.1%) S.aureus isolates were identified, 10(%) MRSA and 11(%) MSSA isolates detected. The mean age was 34.02+13.2 years, gender distribution of 12(57.1%) male and 9(42.9%) female. Majority of S.aureus isolates were recovered from nasal compared to non-nasal origin (<0.001), while no statistical significant difference was observed between the MRSA colonization and demographic variable documented. The S.aureus isolates demonstrated high resistant pattern to fusidic acid, all MRSA isolates exhibited multidrug resistant pattern and inducible phenotype. This is the first report on MRSA colonization level among patients management in a hospital setting in this geographical zone, and the S.aureus strains demonstrated high resistant to fusidic acid and exhibited high inducible phenotype which is of public health concern particularly in infection control and patient management.