Miracle-dz/UniFAR-FTUs huggingface dataset:
CORPORATE DIVIDEND POLICY IN INDIA: DO REGULATED AND UNREGULATED

The cross-sectional trends in dividends are investigated at an aggregate level of ownership (i.e. closely/largely held and regulated firms), and at disaggregate level across 20 industries to examine how Indian Private Corporate Sector appropriated its profits over 1961-2007 periods. Alternatively it is examined whether internal funds are a significant source of finance and the dynamics of relation between dividends relative to earnings across type of companies and industries. Indian corporate sector pays relatively more equity dividends than preference dividends. Other things being equal, the probability of paying cash dividends decreases with shareholder concentration and the regulated companies pay relatively larger dividends. Dividend payouts for all type of firms decline, and such tendency is more pronounced after liberalization periods indicating a greater choice of internal financing through retained earnings. The analysis of inter-corporate and interindustry variations reveals that dividends interplays differently with exogenous factors.
EFFECT OF PRE-EMPTIVE GABAPENTIN VS DICLOFENAC ON POSTOPERATIVE PAIN FOLLOWING DACRYOCYSTORHINOSTOMY UNDER GENERAL ANESTHESIA

Introduction: Postoperative pain control can have a significant effect on patient recovery. Gabapentin and non-steroidal anti-inflammatory drugs can reduce postoperative pain. The aim of this study is to compare gabapentin and diclofenac in their ability to control pain after dacryocystorhinostomy. Methods: In this clinical trial, 62 patients undergoing open dacryocystorhinostomy under general anesthesia, were randomly allocated into three groups. The first group received 300 mg gabapentin, the second group 100 mg diclofenac and the third group received placebo capsules 30 minutes before induction of anesthesia. Pain score was measured by visual analog scale (VAS)at 60, 120, 180 and 240 minutes after conclusion of surgery.In the case ofopioid injection for post-operative pain control, it was also recorded. Results: Pain score at 60 and 120 minutes was significantly lower in gabapentin and diclofenac groups compared to placebo. Gabapentin, more effectively than diclofenac and placebo, controlled pain in third and fourth hours post-operatively. During the 3 rd and 4 th hours, diclofenac and placebo did not differ statistically in controlling the pain. The need for opioid injection was not significantly different between groups(x 2 =0.16). Conclusions: Both gabapentin and diclofenac can control pain in early hours after dacryocystorhinostomy. Due to an increased pain during the 4 th hour, it is suggested that higher doses of pre-operative gabapentin, or combined pre and post-operative doses be used.
OPTIMALLY CONFIGURED ZONE ROUTING PROTOCOL FOR BLENDING VARIOUS NETWORK WITH MOBILE ADHOC NETWORKS

This work presents a routing protocol that utilizes the characteristics of Short range technology for Short range-based mobile ad hoc networks. The routing tables are maintained in the gateway devices, and the routing zone radius for each table is adjusted dynamically via a fuzzy inference system. Given that some useless routing packets exist which increase the network loads in the existing ad hoc routing protocols, this work selectively employs multiple unicasts or a single broadcast when the destination device moves beyond the routing zone radius coverage of the routing table. The simulation results demonstrate that the dynamic adjustment of the routing table size in each gateway device results in considerably faster routing request reply time, as well as fewer request packets and useless packets compared with two representative protocols, Zone Routing Protocol (ZRP) and Dynamic Source Routing
Record Deduplication using Sporogenous Programming Approach

— Different types of digital libraries and e-commerce websites are exist with duplicate contents. Previously many systems are present for removing replica or duplicate items. Previous approaches are implemented in different repositories for detection of duplicate records. It can provides the organized or alignment based results. Those approaches are detect the results are near duplicate and range based results. These approaches are reducing the computation cost and time. Result is not contains any quality data. Increasing the digital libraries data quality new approaches are implementing in present system. This new approach is known as a sporogenous programming popularly known as sporogenous programming. Sporogenous programming contains the three major operations here. Those operations are selection, crossover and mutation. All three operations are performing in database. Execution of operations applies the de-duplication function. After removing the duplicate records apply the suggested function. These two functions are working properly and it can contain less computational resources utilization in implementation. Compare to all previous approaches present approach provides less burden, efficient and accurate results display here. It can provide good evidence based results.
The Combined Utility of hbme-1 Galectin-3 and Brafv600e Mutations in theDiagnosis of Papillary Thyroid Carcinoma

Newer diagnostic modalities have revolutionized the pathologist ’ s approach to diagnosis of thyroid malignancies. Molecular characterization of these malignancies has helped circumvent common morphologic diagnostic difficulties by integrating their genotypic, phenotypic and immunohistochemical features. BRAFV600E mutation has been characterized as highly specific for thyroid carcinoma especially papillary thyroid carcinoma. HBME-1 and Galectin-3 are also such markers which are highly specific for papillary carcinoma of thyroid (PTC). We propose to study HBME-1 and Galectin-3 expression and BRAFV600E mutation in thyroid neoplasms and do a comparative analysis to determine whether there is a correlation between BRAFV600E expression and expression of HBME-1 and Galectin-3. As molecular analysis is time consuming and not very cost effective to the patient the utility of these markers as a surrogate marker for BRAFV600E mutation will also be considered in this study.
Efficient Dynamic Resource Allocation Using Map-Reduce

: Map-Reduce gives an offering encoding model to enormous information exchanges. One important problem in map-reduce is efficiently allocation of resources; it’s a crucial the development of stragglers that will make the data allocated to each and every reducer disturbance. This paper offers an effective resource utilization algorithm using Kerberos in Mapper and Reducer phase. Goal is to minimize the operating effort and by reordering the job list authenticate the user for execution of any job on map-reduce. This process mostly squares up the resource allocation. After we implement Kerberos using Enterprise Identity Management i.e EIM system of it in Hadoop, the tests show that Kerberos carries minimal over-head which enable it to accelerate the performance time of a few preferred programs undoubtedly. We examine an advancement arrangement about how to actualize the token validation in light of the Kerberos pre-authentication system. We propose a pre-authentication system for Kerberos that permits clients to validate to Key Distribution Centre (KDC) utilizing a standard token, and build up a module for Kerberos that can be conveyed independently to utilize the new system. In light of that, we build up our token validation answer for the whole Hadoop stack that incorporates character administration approval arrangements, then keeping away from risk, confusion and organization overhead.
Transformation-based Optimizations Framework (ToF) for Workflows and its Security issues in the Cloud Computing

— A general transformation-based optimization framework for workflows in the cloud. Specifically, ToF formulates six basic workflow transformation operations. An arbitrary performance and cost optimization process can be represented as a transformation plan (i.e., a sequence of basic transformation operations). All transformations form a huge optimization space. We further develop a cost model guided planner to efficiently find the optimized transformation for a predefined goal and our experimental results demonstrate the effectiveness of ToF in optimizing the performance and cost in comparison with other existing approaches. cloud computing offers its customers an economical and convenient pay-as-you-go service model, known also as usage-based pricing. Cloud customers pay only for the actual use of computing resources, storage, and band-width, according to their changing needs, utilizing the cloud’s scalable and elastic computational capabilities. In particular, data transfer costs (i.e., bandwidth) is an important issue when trying to minimize costs
WIRELESS NETWORK MANAGED THROUGH SDN

Abstrac t-This paper presents in the area of software defined networking how software-defined networks could reduce cost, and improve competence to provide significant business value to wireless network . The software defined networking (SDN) exemplar undertakings to simplify network configuration and reserve management theatrically . Such topographies are extremely valuable to network operators and therefore, the industrial and the academic research and development communities are paying increasing attention to SDN. Even though manufactures of wireless equipment are increasing their involvement in SDN interconnected deeds to date there is not a clear and comprehensive understanding of what are the opportunities offered by SDN in most common networking scenarios involving infrastructure less wireless communications and how SDN concepts should be adapted to suit the characteristics of these networking environments. In statistic it aims at scrutinizing how SDN can be of assistance in structure less wireless networking environments, and how it should be lengthened to take the physical characteristics of such networking environments into account. Also, a complete SDN solution for wireless personal area networks named Software Defined Wireless Network is presented and some design courses of action are delivered in this paper.
Geometrical Endmember Extraction and Linear Spectral Unmixing of Multispectral Image

: Accurate mapping is prepared using Linear unmixing of satellite images. Endmember extraction contributes the unmixing accuracy. In this paper, Endmembers are extracted using different Geometrical algorithms like Pixel Purity Index (PPI), Nearest Finder (N-FINDR) and Sequential Maximum Angle Convex Cone (SMACC) algorithms. Extracted Endmembers are given as input for unmixing and it is attempted using Linear mixing model. Here, Landsat 4-5 Thematic Mapper dataset is tested. Experimental results are compared and it is inferred that SMACC algorithm performs better compared to the PPI and NFINDR algorithm. PPI shows less performance in determining the endmember that are less contributed in a pixel.
Effective Control of HIV-1 Disease Progression: Impact on Serum Concentration of β2-Microglobulin

Progressive defects in cell mediated immune function, are usual features of HIV-1 disease progression. Lack of HIV disease progression can be independently achieved by the host’s effective immune responses and highly active antiretroviral therapy. Serum β2-microglobulin (β2M) concentration is a known correlate of HIV disease progression. We thus determined whether different patterns of serum concentrations of β2M characterize immunological and pharmacological controls of HIV-1 disease progression in asymptomatic subjects and compared the potentials of the two conditions in restoring the abnormal concentration of serum β2M consequent to HIV-1 infection. Although different patterns of β2M characterized the two conditions, both tend to restore the abnormal serum concentration of β2M consequent to HIV-1 infection. Increased renal excretion of β2M was associated with HAART and may be a possible mechanism by which antiretroviral therapy reduces serum concentration of β2M. No significant association was found between the blood CD4 T-cell count and serum β2M concentration in subjects with CD4 T-cell >500/μl in asymptomatic HIV-1 infection. We also discovered additive effect of HAART/infection duration and clinical status on serum β2M concentration. Serum concentration of β2M may not be a useful marker of immune status in HIV-infected subjects with blood CD4 T-cell >500/μl. We conclude that pharmacological control of HIV-1 disease progression had a higher potential than the host immunological response in restoring the impairments in serum concentration of β2M consequent to HIV infection. [Adedeji AL, Adeleke AB, Adekunle AS, Adebolu TT, Fakande I, Olawoye TL. Effective Control of HIV-1 Disease Progression: Impact on Serum Concentration of β2-Microglobulin. N Y Sci J. 2012;5(5):18-27]. (ISSN: 1554-0200). http://www.sciencepub. net/newyork
A Robust Face Recognition method

- This paper presents face recognition system using curvelet transform. Face feature extraction has been done by taking the curvelet transform of the bit quantized images. The coefficient of curvelet transform is taken as a feature set using SVM classifier. The experimental results shows that the number of coefficients used in feature sets are less with higher efficiency of recognition. The experimental analysis also suggests that a multimodal biometric recognition system can be implemented using minimum feature sets and curvelet transform can be used as a robust method for feature extraction.
EFFECT OF SURFACE TENSION ON KELVIN-HELMHOLTZ INSTABILITY

The effect of surface tension on Kelvin Helmholtz instability which is the object of our study, takes place within three layers of immiscible fluids and in the absence of capillary phenomena. Our work begins with a classical study of this instability caused by a relative motion between the different layers of the mixture and. Later we formulate the problem using the fundamental equations of fluids dynamics, knowing that the velocity profile at the base is linear. We obtain a rotational part and the irrotational part of velocity which can be expressed as a potential gradient. By applying certain hypothesis and boundary conditions we then obtain a dispersion equation which is a polynomial of degree 4 of the speed. The numerical resolution of this polynomial shows that longer wavelengths stabilize the flow where as shorter wavelengths destabilize the flow.
The Effects of Radical Nephrectomy and Nephron Sparing Surgery on Glomerular Filtration Rate for the Patients who Underwent Surgery for Localized Renal Mass

Objectives: The goal of this study was to demonstrate the long-term effects of radical nephrectomy (RN) and nephron sparing surgery (NSS) on kidney functions. Patients and Methods: The medical records of 1016 patients who underwent kidney surgery from January 1990 to April 2011 at Hacettepe University School of Medicine, Department of Urology were retrospectively collected and analyzed. Metastatic 78 patients at presentation were excluded. Results: Radical nephrectomy and nephron sparing surgery was performed in 624 and 314 cases, respectively. Male to female ratio was 579/314. The mean follow up was 46.7 and 39.9 months for RN and NSS, respectively. The mean radiological tumor size was 75±33,5 mm for RN and 37,8±26 mm for NSS (p<0.001). The mean duration of surgery for RN and NSS was 137 and 139 minutes, respectively. The mean warm ischemia time for NSS was 18.9 minutes. Serum creatinin level was increased 0.51mg/dl and 0.39mg/dl for RN and NSS after long-term follow up, respectively (p<0.001). Glomerular filtration rate (GFR) was ≥ 60 ml/min/m in 47.6% and 74.8% of RN and NSS patients in long-term follow up, respectively (p<0.001). Conclusion: Decrease in GFR was more prominent in RN compared to NSS patients in long term. Therefore, removing the whole kidney for especially T1 renal tumours is over treatment in most cases. Partial nephrectomy should be preferred for all T1 renal tumours whenever technically feasible.
Comparison of rapid immuno- chromatographic card test with elisa in diagnosis of dengue fever at tertiary care centre

Introduction: Dengue viruses are Arboviruses capable of infecting humans, and causing diseases 1 . Dengue virus belongs to the family Flaviviridae, genus Flavivirus. The Aedes aegypti mosquito is the principal vector that transmits the viruses that cause dengue.The viruses are passed on to humans through the bites of an infective female Aedes mosquito, which acquires the virus while feeding on the blood of an infected individual. Commercially available rapid kits, detecting the presence of NS1 antigen and anti-dengue antibodies have been developed for the rapid detection of dengue.Diagnosis of dengue at an early stage is the only effective way to control disease progression. Objective: To compare rapid immunochromatographic test with ELISA for detection of NS1antigen and IgM in suspected dengue patients. Materials and Methods: A Cross-Sectional study was carried out in the Department of Microbiology, Era’s Lucknow Medical College and Hospital from the month of July 2016 to September 2016.Serum samples of 225 suspected dengue patients were collected, having fever for 5 days or less. All samples were analyzed by Dengue Day 1 Test which detects NS1 antigen, IgM and IgG antibodies; by Panbio Dengue Early ELISA for detecting NS1 antigens and by Panbio Dengue IgM Capture ELISA for IgM antibodies. Results: The Rapid Dengue Day 1 card Test showed a sensitivity and specificity of 92% and 98% for NS1 antigen detection and 90% and 100% for IgM Antibody detection. Conclusion: High sensitivity and specificity of rapid diagnostic tests for early detection of dengue was observed. These kits are highly suitable for early detection of positive cases, as with high sensitivity and specificity it can help in early screening of patients and can further limit the spread of disease.
Design and Implementation of Artificial Neural Networks for Mobile Robot based on FPGA

— The world has seen great interest in intelligent systems and its control methods because they are provided distinctive service to humanity in civil and military purposes. In this paper presented the design and implementation of the intelligent controller system by Artificial Neural Network (ANN) for a laser mobile robot system to avoid obstacles in unknown environment. Back-Propagation (BP) method used to train the ANN. The system design was implemented and downloaded in FPGA board type Xilinx Spartan-3 XC3S700A. Four DC motor were used to move the mobile robot. The MATLAB program used to train the ANN. The mobile used IR sensors to detect the obstacles. The MSE get from the training the ANN is 3 ∗ 10 −7 which is considered suitable accuracy in robotic system.
Ancient Indian Scripts Image Pre-Processing and Dimensionality Reduction for Feature Extraction and Classification: A Survey

— Engravings, inscriptions and epigraphs were used from archaic era to preserve knowledge and the great sayings. Diversified scripts are used in writing languages across the globe, in such an environment it is necessary to understand the script and the languages in the images or document prior to selecting an apt character detection and document analysis or prehistoric inscription analysis algorithm. Numerous methods for the automatic character identification and script recognition have been recommended so far. This manuscript is a terse survey on the image prior-processing techniques, segmentation techniques and feature extraction and classification via dimensionality reduction techniques. Broad research has previously been done in this domain but the ancient inscription character recognition is still challenging and needs more efficient techniques. This review will serve as basis for the preliminarily to image pre-processing and the efficacy of dimensionality reduction approaches in feature and classification.
PROTOCAL FOR SECURE DATA AGREEGATION TECHINIQUES USE FOR WIRELESS SENSOR NETWORKS IN THE PRESENCE OF COLLUSION ATTACKS

: Due to limited computational power and energy resources, aggregation of data from multiple sensor nodes done at the aggregating node is usually accomplished by simple methods such as averaging. However such aggregation is known to be highly vulnerable to node compromising attacks. Since WSN are usually unattended and without tamper resistant hardware, they are highly susceptible to such attacks. Thus, ascertaining trustworthiness of data and reputation of sensor nodes is crucial for WSN. As the performance of very low power processors dramatically improves, future aggregator nodes will be capable of performing more sophisticated data aggregation algorithms, thus making WSN less vulnerable. Iterative filtering algorithms hold great promise for such a purpose. Such algorithms simultaneously aggregate data from multiple sources and provide trust assessment of these sources, usually in a form of corresponding weight factors assigned to data provided by each source. In this paper we demonstrate that several existing iterative filtering algorithms, while significantly more robust against collusion attacks than the simple averaging methods, are nevertheless susceptive to a novel sophisticated collusion attack we introduce. To address this security issue, we propose an improvement for iterative filtering techniques by providing an initial approximation for such algorithms which makes them not only collusion robust, but also more accurate and faster converging.
VALIDATION OF A NON-RIGID REGISTRATION ERROR DETECTION ALGORITHM USING CLINICAL MRI KIDNEY IMAGES

: Identification of error in nonrigid registration is a critical problem in the medical image processing community. “Assessing Quality Using Image Registration Circuits” (AQUIRC) method is implemented to identify nonrigid registration errors in clinical MRI kidney images. In this paper, we extend our previous work to assess AQUIRC’s ability to detect local nonrigid registration errors and validate it quantitatively at specific clinical landmarks. Non rigid errors can be identified through segmentation of clinical MRI kidney images. Pathology identification can be easily done in the proposed system.
A Review on Video-Based Techniques for Vehicle Detection, Tracking and Behavior Understanding

: The Intelligent Transportation System (ITS) provides services related to different modes of transport and traffic management systems with an integration of traffic control centers. Video-Based investigation for traffic surveillance has been a vital part of ITS. The traffic surveillance in urban environment have become more challenging compared to the highways due to various factors like camera placement, cluttered background, pose variation, object occlusion and illumination changes. This paper provides review on video-based vehicle surveillance for detection, tracking and behavior analysis with systematic description. In this survey we classify the dynamic attributes of vehicle with respect to vehicle motion and appearance characteristics, including velocity, direction of movement, vehicle trajectories on a single camera.