Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of variable suction on unsteady MHD oscillatory flow of jeffrey fluid in a horizontal channel with heat and mass transfer

Abstract The effect ofvariable suction on unsteady MHD oscillatory flow of Jeffrey fluid in a horizontal channel with heat and mass transfer has been studied. The temperature prescribed at plates is uniform and asymmetric. A perturbation method is employed to solve the momentum and energy equations. The effects of various dimensionless parameters on velocity and temperature profiles are considered and discussed in details through graphs. It is found that, the velocity u increases with increase in h2 ,α1, λ1,Gr,Gc,N,Re and Sc. The velocity also increases with decrease in h1,α2 ,Ha, and Kc . It is also observed that the temperature θ increases with increase in N and Pe. Increase in Schmidt number Sc and chemical parameter Kc respectively increase and decrease the species concentration or the concentration boundary layer thickness of the flow field.
Ontology Based Post Mining of Association Rules

: The Data Mining process enables the end users to analyze, understand and use the extracted knowledge in an intelligent system or to support in the decision-making processes Association refers to the data mining task of uncovering relationships among the data. In Data Mining, the usefulness of association rules is strongly limited by the huge amount of delivered rules. There are a number of ways to overcome this drawback that depends on the statistical information. But none of them guarantee that the rules extracted are interesting for user. Thus we introduced a new approach in which the user knowledge I taken into the consideration to extract the rules through user interactive system. We propose ontologies to in order to improve the integration of user knowledge in the postprocessing task. The user can even edit or validate ontologies. We propose the Rule Schema formalism extending the specification language for user expectations. The rules extracted are pruned and filtered. So that, voluminous set of rules were reduced to several dozens or less.
A REVIEW ON STRENGHTENING TECHNIQUES USING NSM AND EB FRP COMPOSITES

Near-surface mounted (NSM) and Externally Bonded (EB) fibre-reinforced polymer (FRP) reinforcement are the most promising strengthening techniques for reinforced concrete (RC) structures. Research on this topic started only a few years ago but has by now has great attention. The main Issues raised by the use of such FRP reinforcements include the optimized methods of construction, models for the bond behaviour between FRP and concrete, flexural and shear strengthening methods which are reliable , and proper utilisation of benefits of these techniques.
Improved Energy Efficient MAC Protocol for Wireless Sensor Networks

: Wireless Sensor Networks are widely used in many fields, such as environmental monitoring and natural exploring.Sensor nodes are deployed in the region, forming the multi-hop wireless network for the communication. Normally each sensor consists of a sensing device, embedded processor and low-power radio transmission. They consume power from a battery. The communication protocol for wireless sensor networks need to consider the energy efficiency as a first factor, for extending the network lift –time. In this thesis we propose a MAC protocol which is energy efficient as well as suitable for a WSN containing mobile nodes. The performance of the proposed protocol has been compared with LEACH-C protocol. It outperforms LEACH-C in terms of average energy consumption, packet delivery ratio and network life time.
Replication Based File Sharing for Enhanced File Access Availability in MANET

---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Mobile Ad Hoc Network (MANET), of late, is also used for file sharing applications. The file access availability is to be given importance for good performance. However there are certain issues in the MANET as the nodes exhibit mobility and contain limited transmission range and constrained resources. A simple method to ensure high file access availability is to make replicas and promoting availability. However, usage of replicas without a proper approach can cause other problems like memory overhead. To overcome this problem in this paper we proposed a methodology that ensures optimal replication which maximizes query performance besides reducing query delay significantly. The methodology takes care of storage capacity of nodes and the meeting frequency. The impact of resource allocation on the query delay is explored with an optimal resource allocation rule. We built a prototype application that demonstrates the proof of concept. The empirical results revealed that the proposed system is able to improve file access availability in MANET
A Survey on: Sound Source Separation Methods

— now a day’s multimedia databases are growing rapidly on large scale. For the effective management and exploration of large amount of music data the technology of singer identification is developed. With the help of this technology songs performed by particular singer can be clustered automatically. To improve the Performance of singer identification the technologies are emerged that can separate the singing voice from music accompaniment. One of the methods used for separating the singing voice from music accompaniment is non-negative matrix partial co factorization. This paper studies the different techniques for separation of singing voice from music accompaniment
Short Term Load Forecasting using Generalized Neuron Model with Error Gradient Functions

: Short Term Load Forecasting(STLF) varies from an hour to hour and is used for requirement for control, unit commitment, security assessment, optimum planning of power generation, and planning of both spinning reserve and energy exchange, also as inputs to load flow studies and contingency analysis. Artificial neural networks (ANN’s) has drawbacks like inputs nodes or hidden nodes which can cause training file difficulties, more computation time, large size data, less flexibility etc. Generalized neuron model (GNM) have more flexibility, no hidden layers, less computation time, usage of  and  neurons etc. In this paper, development of STLF using GNM under different error gradients functions is obtained.
A comparative study of spinal bupivacaine and fentanyl versus combined lumbar plexus and sciatic nerve block in lower limb orthopedic procedures

Context: Spinal anesthesia is a time-tested method for orthopedic surgeries of the lower limb while peripheral nerve block is a comparatively newer method and still under controversy. Aims: The aim of this study was to compare efficacy of spinal bupivacaine and fentanyl with combined lumbar plexus and sciatic nerve block in lower limb orthopedic procedures. Settings and Design: A randomized single-blinded prospective study conducted at orthopedic operation theater and perioperative area. Subjects and Methods: Sixty patients were randomly allocated into two groups, Group A received spinal anesthesia with 12.5 mg bupivacaine and 25 μg fentanyl, Group B received lumbar plexus block with 30 ml (0.25%) bupivacaine and sciatic nerve block with 25 ml (0.25%) bupivacaine. In Group B, three patients were converted to general anesthesia due to failure of development of block. In postoperative period, visual analog scale (VAS) score was assessed, and pethidine was used as rescue analgesic. Statistical Analysis Used: IBM SPSS Statistics for Windows, Version 20.0. (Armonk, NY, USA). Results: Faster onset of sensory and motor block was found in Group A. In the intraoperative period, incidence of hypotension and bradycardia was found to be higher in Group A although statistically insignificant. In the postoperative period, the VAS score difference between the two groups was found to be significantly higher in Group B till 6 h postoperative. The total duration of analgesia was significantly higher in Group B (690.00 ± 108.344 min) than in Group A (264.67 ± 25.962 min). The total dose of analgesic required in first 24 h was significantly less in Group B (200.00 ± 57.17 mg) than in Group A (371.67 ± 28.416 mg). Conclusion: Combination of lumbar plexus and sciatic nerve block provided effective unilateral analgesia for a prolonged time into the postoperative period.
A Voxel-Based Morphometry Study in Alzheimer’s Disease and Mild Cognitive Impairment

Alzheimer’s disease (AD) is the most common cause of dementia in the general population older than 60 years of age [1,2]. The clinical manifestations of AD are seen in the domains of memory and spatial navigation in the early phases of the disease, with almost all cognitive domains affected as the disease progresses, including attention, language, and visuospatial function, as well as executive function failure and emotional instability [3].
Effect of herbicides on fish and histological evaluation of common carp (Cyprinus carpio)

Toxicity of the herbicides like 2, 4-D NA salt, glyphosate and paraquat were tested, fish was investigated in laboratory and toxicity tested with common carp. Median lethal concentrations were determined in acute tests. The 96 h LC50 value was 100, 86 and 26 mg/L were tested. The experiment was laid out in a randomized block design with four replications. Screening of different herbicides was taken up in cement pots of dimension 2' x 2.5' x 2' with water filled up to three fourth of the pot’s height, holding ten water hyacinth plants and each treatment were introduced ten fish fingerlings. Three different species tested viz., common carp, mrigal and rohu fishes were reared. Fish was exposed to acute toxicity of herbicides and gills, brain, liver and kidney structure were studied. In different concentration of herbicidal changes were observed in the vital organs and was confirmed by histological analysis. Among the herbicides applied, glyphosate significantly influenced with the least fish mortality percentage of 23.0, 16.0 and 20.0 on common carp, mrigal and rohu at 4 DAS, respectively. The same herbicides were found in the lesser imparted of tissues such as gills, brain, liver and kidney of the fish was examined.
Optimizing the Performance of Magnetic Resonance Imaging Department Using Queuing Theory and Simulation

Background: The diagnostic services such as Magnetic Resonance Imaging (MRI) require advanced and costly technologies; and making the right managerial decisions to reduce patients’ waiting time and increase employees’ productivity in providing such services is essential. Objectives: The current study aims at optimizing the performance of the mentioned MRI department using queuing theory and simulation to increase its productivity and patients’ satisfaction. Methods: It was an applied and cross-sectional study conducted in 2015 in the MRI department of a military hospital affiliated to Baqiyatallah University of Medical Sciences, Iran, in day and night shifts in which the referral rate and the time spent in different workstations were recorded for a sample of 264 patients by Quota Sampling. After the initial evaluation of data using Excel 2013, arrival time of patients and the average time of service delivery, associated with the queuing network, in both shifts were calculated. Then, to provide practical solutions, various scenarios were modeled using Arena14.5 and the results were compared. Results: The current study results showed that the highest average of patients’ waiting time was related to turn-taking until admission (56 days) while the average time spent from admission to leaving the studied MRI department was 124 minutes. The department productivity on average was 52.5% indicating the high system capacity, which had not been used. There was dramatically reduced waiting time and increased required services in the 4th scenario indicating that the waiting time could be significantly reduced by making small changes in the human resources (changes in the working hours and the number of personnel) and the number of machines (adding an MRI machine). Conclusions: In the 4th scenario, the department and its personnel’s productivity improved and the patients’ waiting time for turn-taking until admission was eliminated by adding an MRI machine and an MRI technologist. Therefore, the implementation of this scenario is proposed, after performing cost-benefit analyses.
Parallel Processing Of Visual and Motion Saliency from Real Time Video

— Extracting moving and salient objects from videos is important for many applications like surveillance and video retargeting . The proposed framework extract foreground objects of interest without any user interaction or the use of any training data(Unsupervised Learning). To separate foreground and background regions within and across video frames, the proposed method utilizes visual and motion saliency information extracted from the input video. The Smoothing filter is very helpful in characterizing fundamental image edges, i.e. salient edges and can simultaneously reduce insignificant details, hence produces more accurate boundary information. Our proposed model uses smoothing filter to reduce the effect of noise and achieve a better performance. Proposed system uses real time video data input as well as offline data to process using parallel processing technique. A conditional random field can be applied to effectively combine the saliency induced features. To evaluate the performance of saliency detection methods, the precision-recall rate and F-measures are utilized to reliably compare the extracted saliency information.
A New Hybridised (DE-PSO) Approach Using Data Fusion for Lifetime Improvement in WSN

— The design of an energy-efficient wireless sensor network protocol is one of the major issues in wireless sensor networks (WSN). In this paper, the approach for the routing is modified to make a better utilization of the computing environment using data fusion and provide network a better life time and better energy efficiency. Hybrid algorithm using Differential Evolution and Particle Swarm Algorithm is used for wireless sensor networks to improve the network lifetime and to reduce network’s overall energy consumption. In order to improve the global optimization property of the Differential Evolution, the PSO is combined as additional mutation operator. Simulation shows that the solution which is proposed helps in finding the optimal cluster heads and has better network lifetime as compared to the traditional clustering algorithms. The simulation results come in favour of what it is designed for to increase in network's life time and data efficiency and reliability of the network data increases.
A SURVEY ON RED QUEUE MECHANISM FOR REDUCE CONGESTION IN WIRELESS NETWORK

– Now a day’s use of wireless networks for access the internet is increasing. It shows that use of the main transport layer protocol TCP will be increase in near future. The number of applications running over computer networks has been increasing tremendously, which ultimately results in congestion. Congestion increases both delay and packet loss. Network congestion can be controlled by several methods, such as Random Early Detection (RED) which is the most well known and widely used queue mechanism to avoid congestion.
Generation of Testcases from UML Sequence Diagram and Detecting Deadlocks using Loop Detection Algorithm

— In an environment where processes those execute concurrently, speeding up their computation is important. Deadlock is a major issue that occurs during concurrent execution. In this paper, we present an approach to generate testcases from UML sequence diagram for detecting deadlocks during the design phase. This will reduce the effort and cost involved to fix deadlocks at a later stage. Our work begins with design of sequence diagram for the system, then converting it to intermediate graph where deadlock points are marked and then traverse to get testcases. The testcases thus generated are suitable for detecting deadlocks.
Review on Novel Approaches for Noise Handling and Sound Source Separation at Real Time

: Success of application based on voice require real time speech analysis, though there is lots of advancements in speech technology, but there lots of challenges yet to be addressed to achieve 100% accuracy and success of such applications. In this paper we will briefly discuss those challenges and elaborate on the methodologies that enable voice analysis in real time non controlled conditions.
J Ortho Bone Disord 2017, 1(5): 000127

Background: Management of nonunion of humeral shaft fractures are difficult. This study was conducted to evaluate outcomes and complications of these cases treated with locking compression plate (LCP) and autogenous bone grafting. Materials and Methods: Twenty-four patients of non-union of humeral diaphyseal fractures were included in this study. Fracture ends were freshened, reduced, fixed with locking compression plate and auto iliac bone grafting was done in all the cases. Clinico-radiological assessments were done for each case at each follow-up visit. Time to fracture union, union rate, functional outcome and complication such as infection, malunion, delayed union, implant failure and joint stiffness were recorded. Modified Constant and Murley Scoring was used to assess functional outcome of the fracture fixation. Results: The mean fracture union time was 16.4 ± 5.8 weeks (range 10–48 weeks). This study had 100% union rate. After assessing modified Constant and Murley scoring, 10 cases had excellent functional outcome, 9 had good and 5 had fair functional outcome. The mean Constant and Murley score was 18.74 in the preoperative period (range 0-34) and 81.20 (range 38-98) at the time of final followup. The range of motion at shoulder joint was excellent in 20 and moderate in 4 cases, and the range of motion at the elbow joint was excellent in 22 and moderate in 2 cases. Conclusion: This study concludes that LCP is a good implant to treat cases of non-union of humeral shaft fractures with good functional outcomes and acceptable rate of complications. Level of evidence: Level 2 prospective study Review Article
Usage of Cosine Similarity and term Frequency count for Textual document Clustering

 Abstract — This paper presents textual document clustering using two approaches namely cosine similarity and frequency and inverse document frequency. With the combination of these approaches a similarity measure values are generated between keywords in the documents and between the documents. Using this approach, the best related document can be identified on the basis of clustering method called correlation preserving index in which related documents are stored in an index format.
MULTIMODAL BIOMETRIC SYSTEM: A SURVEY

: A biometric system which relies only on a single biometric trait is often not able to meet the desired performance. In Multi-modal system more than one biometric traits are used to identify a person. The study of methods for uniquely recognizing based upon one or more intrinsic physical or behavioral. In this paper we present the use of multimodal biometric system to get the higher degree of security.
POTENTIAL OF PROBIOTICS AS A VERSATILE REMEDY FOR WOMEN’S UROGENITAL HEALTH: AN OPTIMISTIC PERSPECTIVE

Infections of the lower urinary tract occur frequently in young women, during pregnancy, and in preand post-menopausal women. Multiple drug resistance arising in different microbial isolates has complicated the therapeutic management of urinary tract infections. Because of the chronic nature of these urinary tract infections and the potential for antibiotic resistance, a natural remedial approach for prevention and treatment is desirable. In this milieu, several recent clinical researches have nominated probiotics as a promising natural option for long-term prevention of these
Proton Magnetic Resonance Spectroscopy In Brain Tumors: Literature Review

MR spectroscopy obtains biochemical information noninvasively from biologic tissue. Within a defined volume of interest, signals may be registered from chemical nuclei within the body; the most commonly used nuclei are protons (hydrogen). It differs from conventional Magnetic Resonance Imaging (MRI) in that spectra provide physiological and chemical information instead of anatomy. In this article, we aimed to show the usefulness of MRS in differentiating brain tumors and non-neoplastic diseases mimicking brain tumors in conventional MRI. Additionally we illustrated MRS usefulness to characterize the most common intra-axial brain tumors
Spatial Patterns of Abundance and Diversity of Socioeconomic Important Plant Species in a Human Inhabited Protected Area at Korup, Cameroon

We present data on sample richness, relative abundance, and community structure of economic plant species assemblage from a globally important hotspot of biodiversitythe inhabited central region of Korup National Park, southwestern Cameroon. Patterns of species diversity and spatial variability across major locations are described. We recorded 23 species, the mean richness location 13.3 (minimum: 7, maximum: 20, median: 13, standard error of the mean 3.436) which is significantly low compared to the ever increasing population. We found that population pressure and cultivation of native habitat reduces economic plants species diversity, a conclusion that has important implications in light of the rapid conversion of parts of the protected area for agriculture and fuelwood in human inhabited protected areas of sub-Sahara Africa. The Mantel test statistic showed a significance level (P =0.001), but there is a large scatter of observations and correlation is low (r= 0.2225) among values of the gradient and ecological distance matrices. The ordination analysis revealed six axes accounting for only 30.14% of the total variance (Pseudo-F =1.78207; P<0.001, n =1000 permutations), suggesting that soil variables may not be important in the spatial distribution of plant species. These conclusions emphasize the importance of stratified long-term sampling in biodiversity studies and demonstrate that superficial levels of sampling effort can lead to erroneous conclusions regarding patterns of floristic species. Continuous existence of such protected areas, ecological integrity and sustainable human livelihoods in the areas would require that both education of the population and eco-agriculture based on the cultivation of these economic plant species be given priority. [Journal of American Science 2009:5(2) 54-68] ( ISSN: 1545-1003)
Performance analysis of different orthogonal transform for image processing application

In modern communication technologies, the demand of image data compression increasing rapidly. This paper presents different methods for image compression like DCT, Walsh, Hadamard and Walsh Hadamard. Main objective of this paper is to achieve the higher compression ratio and lower the Mean square error. Different test images over different orthogonal transform are used to achieve the performance and coding efficiency. Hadamard transform gives less improvement in PSNR and large value of MSE as compare to walsh transform which gives better PSNR and Lesser MSE. Walsh-Hadamard enhances its performance and finally DCT gives least MSE and high PSNR.