Miracle-dz/UniFAR-FTUs huggingface dataset:
Some Studies on the Effect of Copper ( I ) Nicotinate Complex on the Immune Response and Some Biochemical Parameters of Sea Bass Fish Vaccinated With Yersinia Ruckeri

The present study was designed to investigate the influence of dietary supplementation of Copper (I) nicotinate complex at different concentrations (30 and 60 mg/kg feed) for 4 weeks on the immune response and some biochemical parameters of Sea bass fish vaccinated with Yersinia ruckeri bacterin. The relative level of protection against challenge with virulent strain of Yersinia ruckeri was also determined. The present findings indicated that, the using highest concentration of Copper (I) nicotinate (60mg/kg feed) was preferable for stimulation of hemopiosis which reflected on the significant increase of some tested hematological parameters. Both concentrations Copper (1) nicotinate complex had no adverse effect on liver cells which reflected on the unchanged activity of liver enzymes and increase the serum total protein, albumin and globulin. The increased lymphocytes percentage and serum globulin along the course of experiment was elevated phagocytic index and activity gave a strong evidence of the immunostimulant effect of copper (1) nicotinate complex in the levels of cell mediated and humeral immunity. This immunostimulant effects were dose dependant and confirmed by the increase in both antibody titer and relative level of protection against the injected virulent strain of Yersinia ruckeri.
A Cloud Storage System with Information Confidentiality and Forwarding

Cloud storage suggests that the storage of information on-line within the cloud,wherein a company's knowledge is keep in and accessible from multiple distributed and connected resources that comprise a cloud.Cloud storage will offer the advantages of larger accessibility and reliability; speedy deployment; robust protection for knowledge backup,archival and disaster recovery purposes; and lower overall storage prices as a results of not having to buy, manage and maintain overpriced hardware. However, cloud storage will have the potential for security and compliance issues.Third party’s cloud system doesn't offer knowledge confidentiality. Constructing centralized storage system for the cloud system makes hackers scarf knowledge simply. General cryptography schemes shield knowledge confidentiality. within the projected system a secure distributed storage system is developed by desegregation a threshold proxy re-encryption theme with a suburbanised erasure code. The distributed storage system not solely supports secure and strong knowledge storage and retrieval, however conjointly lets a user forward knowledge from one user to a different while not retrieving the info back. the most technical involvement is that the proxy re-encryption theme supports coding operations over encrypted messages still as forwarding operations over encoded and encrypted messages. the strategy totally integrates encrypting, encoding, and forwarding.
Design Of Energy-Efficient Clustering Algorithm for Large Scale Wireless Sensor Networks

-A wireless sensor network (WSN) is a network system comprised of spatially distributed devices using wireless sensor nodes with limited energy resources. The individual nodes are capable of sensing their environments, processing the information data locally, and sending data to one or more collection points in a WSN. That issue can be solve by using clustering algorithm as a solution to reduce energy consumption. The System implements a clustering method for entire networks. The nodes are organized into clusters. Within a cluster, nodes transmit data to cluster head (CH) without using . CHs transmit data to sink. In this paper, a new clustering algorithm, named PDKC, is proposed for wireless sensor networks based on node deployment knowledge. In PDKC , sensor node location is modelled by Gaussian probability distribution function instead of using GPSs or any other location-aware devices . Finally, we present a distributed implementation of the clustering method. Extensive simulations confirm that our method can reduce the number of transmissions significantly and shows corresponding time delay.
Clinicopathological , histopathological and immunolog 1 ical studies on animals exposed to lead and cadmium under experimental conditions

Lead and cadmium are recognized as the most toxic environmental pollutants. The effect of lead acetate (Lead acetate) and cadmium chloride (Cd Cl2) poisoning on the clinicopathological, histopathological and immunological parameters in guinea pigs was investigated. The possible protective role of cod liver oil as a natural supplement of vitamins (E, A, D) and omega 3 nutrients was also studied. The animals were divided into five groups, control and four experimental groups. The second and the third groups were administrated Lead acetate (5.5 mg Lead/kg b.w), while the fourth and fifth groups were administrated Cd Cl2 (2.5mg Cd/Kg b.w) orally three times a week. Cod liver oil was given to the third and fifth groups orally three times per week at a dose of 0.35 ml/ animal two weeks before and continued simultaneously to the administration of the chemical pollutants through the experiment. Guinea pigs were kept under observation for 9 weeks. Most of the guinea pigs administrated pollutants showed loss of body weight and weakness. Mortality rate reached 33.3% in Lead acetate group and 39.4% in Cd Cl2 treated group. Exposure to Lead acetate or Cd Cl2 induced oxidative damage to erythrocytes leading to observation of normocytic normochromic anemia, lymphopenia and toxic neutrophils. Increased activity of serum enzymes ALT, AST and ALP, and elevation of urea and creatinine values reflected liver and kidney damage which was proven histopathologically. Gradually increased hyperglycemia was observed in Lead and Cd groups. Significant decrease of total protein due to hypoglobulinemia was observed in Cd group. Gradual increase in Lead and Cd levels in serum was recorded compared with control. Antibody titer decreased specially in Cd group. Viability of lymphocytes was reduced in Lead and Cd groups. Simultaneous administration of cod liver oil was reduced the mortality rate, hematological changes, hepatic biochemical alterations, decreased slightly the level of serum Lead and Cd and improved immune status of guinea pigs. [Randa, A. Hassan; Dawlat M. Amin; Nariman A. Rahmy; Hatem, M.E. and Dessouky, M.I. Clinicopathological, histopathological and immunolog1ical studies on animals exposed to lead and cadmium under experimental conditions. N Y Sci J 2012;5(12):120-136]. (ISSN: 1554-0200). http://www.sciencepub. net/newyork. 19
Effect of Mouth’s Local Minima on Emotion Detection

Emotion detection has been an important research element for several years. This is because emotion is an important factor of non-verbal human communication. To automate and replicate human emotion and make devices and services more personal and intelligent, machines must be taught to best understand our displayed emotion. There are a lot of methods to handle this problem. In this paper we discuss using mouth’s vertical local minima applied on image pixel information. The experimental results show promise of feasibility of the mentioned method. Keywords— Image Processing, Emotion Detection, Facial Expression Classification
Experimental study for the effect of Trigonellafoenum-graecum (fenugreek) seeds extract on some biochemical and histo pathological study in induced diarrhea in mice by Klebsiella pneumoniae

This study was designed to evaluate the effect of alcoholic extract of Trigonellafoenum-graecum (fenugreek) seeds in induced diarrhea mice by Klebsiella pneumoniawhich isolated from diarrheal cases in children, besides investigation of its effect on some biochemical parameters and histopathological study. Thirty mice were divided in to three groups: Group I: mice were served as a control negative group. Group II: mice were infected with 1.5× 10 8 CFU of Klebsiella pneumonia orally for one week, two weeks, three weeks and four weeks. Group III: mice were infected and treated orally with 300 mg/kg . BW of alcoholic extract of fenugreek, the period of treatment were one week, two weeks, three weeks and four weeks, at the end of experiment of period, blood samples were taken from all groups and obtained blood serum to estimate the biochemical measurement such as Serum glucose level, serum cholesterol level, Creatinine, Serum uric acid and serum total proteins level. Mice were sacrificed to examine the histopathological changes . The results illustrated significant decrease (P < 0.05) in levels of serum blood glucose, serum cholesterol,creatinine and serum uric acid after treated orally with 300 mg/kg . BW of alcoholic extract of fenugreek . However, no significant changes in serum total protein level in infected and treated groups. Histopathology results of the intestine was showed surface mucosal superficial ulceration and damage with inflammatory cells inside the villi in mice infected with 1.5× 10 8 CFU of Klebsiella pneumonia orally while, Look-like near or normal structure appearance was reported in the intestine after treated orally with 300 mg/kg . BW of alcoholic extract of fenugreek .
International Journal of Innovative Technology and Exploring Engineering (IJITEE)

The study seekss to determine factors that affect customer satisfaction towards their loyalty in Indonesian telecommunications industry. The research seeks to find out how the influence of financial factors, Technology Factors and Customer Service Factors are on Customer Satisfaction and the influence of financial factors, Technology Factors and Customer Service Factors on Customer Loyalty directly or indirectly. The sources of data used in the article are major data and minor data. The major data were attained from a structured questionnaire. The questionnaire was opened online and the total respondents obtained were 160 respondents and they were valid. The results of this questionnaire indicate that the factors that influence Customer Satisfaction, namely, financial factors, technological factors and customer service factors also affect Customer Loyalty to telecommunications service providers in Indonesia. This study found that Financial Factors, Technology Factors and Customer Service Factors had a prospective influence on Customer Satisfaction, Customer Satisfaction had a determining relationship with Customer Loyalty and it was found that indirectly Financial Factors and Technology Factors through Customer Customer Satisfaction had a determining influence on Customer Loyalty whereas Customer Service Factor did not.
New Bounds on Image Denoising Using Non Local PCA Algorithm for Noise Estimation

: Image denoising algorithmsoften assume an additive white Gaussian noise (AWGN) process that is independent of the actual RGB values. Such approaches are not fully automatic and cannot effectively remove colour noise produced by today’s CCD digital camera. In this paper, we propose a unified framework for two tasks: automatic estimation and removal of colour noise from a single image using piecewise smooth image models. We introduce the noise level function (NLF), which is a continuous function describing the noise level as a function of image brightness. Our algorithm takes noisy images taken from different viewpoints as input and groups similar patches in the input images using depth estimation. We model intensity-dependent noise in lowlight conditions and use the principal component analysis and tensor analysis to remove such noise. The dimensionalities for both PCA and tensor analysis are automatically computed in a way that is adaptive to the complexity of image structures in the patches. Our method is based on a probabilistic formulation that marginalizes depth maps as hidden variables and therefore does not require perfect depth estimation. a Gaussian conditional random field (GCRF) is constructed to obtain the underlying clean image from the noisy input. Extensive experiments are conducted to test the proposed algorithm, which is shown to outperform state-of-the-art denoising algorithms.
A Survey on Text Recognition from Natural Scene Images and Videos

—Text recognition from any natural scenes images and videos is application of image processing technique. Basically text recognition is belongs to the pattern recognition which is part of image processing techniques. Now these days text recognition from natural scene images and videos is very difficult task.For make it easy four basic steps must be apply that approaches are (i) Text image pre processing (ii) character segmentation (iii) character recognition and (iv) Text recognition. In the state of art methods , character segmentation having two major approaches that is Segmentation –based approaches which segment the text into individual character before recognizing and segmentation-free approaches which recognizes character directly from whole text images without any segmentation. Character can also be recognized with two approach that is pattern matching methods in that particular method character are usually identified by a set of features and machine learning methods in which the methods are designed that are learn automatically from the image or after extracting feature. Various method has been applied earlier for extracting text from images and videos. These all methods are trying to provide better result . Various paper use printed text images for recognition their we never required any preprocessing for extracting text . Here is the name of some methods that are used for text recognition that are are Specific directed acyclic graph techniques, scalable feature learning algorithm, k nearest neighbour technique and back propagation algorithm. All those method which has been applying for text recognition , they all provide accuracy in result or we can say that the recognized text are nearly matched with the original one.
ADVANCED IMPLEMENTATION OF ENHANCED-AODV TO DETECT PASSIVE BASED INTRUSION DETECTION ATTACKS IN WIRELESS AD HOC NETWORKS

Wireless Networks are a combination of nodes or computers or devices which have to communicate with each other in network communication. In wireless network communication security is an emerging challenge task. Some of the attacks occur in Wireless Ad hoc Networks, because of increase in internal activities of data communication. AODV (Ad hoc On-Demand Distance Vector) is an aimed to detect intrusion detection attacks, implementation to detect intruder and provide solution to reduce packet delivery with respect to variative throughput based on data tranmission. To detect network vulnerabilties in network communication with respect to intrusion and detection effectively, we implement Enhanced-AODV (which consists both signature authentication and AODV), to improve performance of network interms of delivery ratio, throughput and bandwidth between nodes in static topology of wireless communication. Our experimental results ability of Enhanced-AODV succesfully detect distributed attacks with low false positive rates over Wireless Network Communication.
Applying Idling Methods In Multicast Routing Protocol For Reducing Energy Loss And Improving Residual Energy In Mobile Adhoc Networks

— In this paper, we propose Idling mechanism for reducing energy loss in MANET. As MANET nodes typically run from limited energy portable batteries, a critical design was made for reducing energy loss and Erroneous Carrier Sensing. Energy savings are realized by exploiting the difference in power consumption between the Erroneous Carrier Sensing and idle states. The proposed method is Applying Idling Methods in Multicast Routing Protocol for Reducing Energy Loss and Improving Residual Energy in Mobile Adhoc Networks. Idling methods are used to avoid spending energy on overhearing by forcing the overhearing node’s radio interface to transition to a low energy idling mode and for reducing energy consumption due to Erroneous Carrier Sensing (ECS).
Flow Cytometric Sperm Chromatin Structure Assay as a tool to predict Intrauterine Insemination Outcome in Infertile Couples due to Mild Male Infertility

Introduction: Infertility affects approximately 15% of couples trying to conceive and a male cause is believed to be a sole or contributing factor in approximately half of these cases. Damage to the genetic component of spermatozoa seems to play the main role in a majority of cases where current approaches fail to reveal the specific cause of male infertility. As Sperm chromatin/DNA integrity is essential for the accurate transmission of paternal genetic information, a normal sperm chromatin structure is important for sperm fertilizing ability. Sperm chromatin structure assay (SCSA) is one of the most efficient and successful assay for providing both diagnostic and prognostic evaluations of man’s potential for infertility. The aim of this study was to evaluate SCSA as prognostic indicator of the outcome of intrauterine insemination (IUI) in infertile couples due to male causes. Methods: Sixty couples with mild male factor infertility, semen samples on the day of IUI were collected. Semen analysis was performed using computer aided semen analysis (CASA) technique. The SCSA was performed using acridine orange (AO) followed by flow cytometric analysis. Results: The successful outcome was 23.3%, with no significant difference between successful cases (14 cases) and unsuccessful cases (46 cases) as regards CASA parameters, while for SCSA there was a significant difference between 2 groups. The successful cases for clinical pregnancy showed a DNA fragmentation index (DFI) 23.6±4.4%) while the group which failed to induce pregnancy was 30.4±4.9%. There was a highly significant negative correlation between the pregnancy rates and the DFI%, where no male couple with DFI ≥30% contributed to an ongoing pregnancy. In the other hand, except for total sperm count, all data from semen analysis were poorly associated with the outcome of IUI. Conclusion: The SCSA has proven its importance in demonstrating DNA damage as a cause of infertility in men with mild male factor and the subsequent events in the ongoing pregnancy. [Ahmed M. Gaballah, Samar M. Sharaf and Eman Elgindy. Flow Cytometric Sperm Chromatin Structure Assay as a tool to predict Intrauterine Insemination Outcome in Infertile Couples due to Mild Male Infertility. J Am Sci 2013;9(12):949-954]. (ISSN: 1545-1003). http://www.jofamericanscience. org. 120
FACTORS AFFECTING JOB PERFORMANCE CASE STUDY: ZANJAN WATER AND WASTEWATER COPORATION

This study has been engaged in how the impact of employees' perceived organizational support, psychological empowerment, and organizational citizenship behavior on their job performance and assessed the causal relationships between these variables in the Zanjan Water and Wastewater Corporation. Totally, 69 employees of Zanjan Water and Wastewater Co. participated in this research. Data was analyzed using descriptive statistics, linear regression, and hierarchical multiple regression. The results showed that both employees' perceived organizational support and their psychological empowerment positively affected job performance. Ultimately, organizational citizenship behavior mediated the relationship among employees' perceived organizational support and job performance, and the relationship among psychological empowerment and job performance.
MACHINE VISION BASED SELF-POSITION ESTIMATION OF MOBILE ROBOTS

Mobile robots are used in many industries for performing various tasks. For navigation of mobile robots, their self-position need to be known. The methods used for estimating the self-position of mobile robots is rapidly growing. A convenient method is to use GPS. Although GPS provides self-position in outdoor environments but GPS alone is not sufficient to provide an accuracy of the centimetre scale. Therefore, the need arises to combine the GPS information with other techniques for accurate localization. Several techniques viz. odometry, environmental range sensors, time of flight range sensors, vision based methods etc. are being employed along with GPS for accurately localizing an autonomous vehicle. This paper discusses various techniques which are used for estimating the self-position of mobile robots used in industries.
INVESTIGATING 3-D MODEL AND PART INFORMATION FOR IMPROVING CONTENT-BASED VEHICLE RETRIEVAL

Content based vehicle retrieval, a technique which uses visual contents to search images from the large scale image databases, is an active area of research for the past decade. Due to large variation in viewing angle position, illumination, occlusion, background, traditional vehicle retrieval is extremely challenging. This approaches problem in a different way by converting 2D image database into 3D database. For training we have used 77 images in database. First we convert 2D query image into its 3D view and then comparing with 3D database. Then proposed a model fitting approach with weighted jacobian system which leverage the prior knowledge of part information and shows promising improvements. For comparison similarity metrics are used. It
Proposing and Measuring the Concept of „ Constancy in Leadership ‟ in a World of Disruptive Innovations

In this ever-changing world, the only anchor that could help provide the much-required stability to businesses could be the values that are enshrined by the organizations as their principle guiding force. Leaders have a great role in upholding these values and also further developing future leadership which preserves those values as identity and heritage of the organization. The paper attempts to create a scale to recognize such leaders so that corporate leadership could be continued without fluctuations, firmly upon values and passed on to coming generations of leaders as a legacy. The paper envisions the concept of constancy in leadership and also generates a context specific scale to measure the construct. The paper proposes the conditions that provide the constancy in leadership and describes the process of developing a scale that could measure the extent of such constancy in leadership. Both qualitative and quantitative research has been used for purpose of developing a scale to measure the construct of constancy in leadership. Initially using secondary research and informal interviews a list of items was generated. Its face and content validity was established through ratification by a panel of experts which included industry leaders with over 20 years of working experience and academics. Sampling population included private sector employees with at least 10 years of working experience, so that they had rich experience of working with different leaders. Respondents were requested to respond as followers to a set of items on a 7-point Likert scale. Analysis of data was done using SPSS 16 which included Factor analysis and reliability tests. Further, qualities of sustainable leadership as derived from literature study were equated with the top five qualities, which the respondents perceived as the basis of timeless/sustained leadership to confirm if the basis of the construct showed consistency. The results indicate that the scale shows initial evidence of being both valid, reliable and unidimensional, suggesting that the same construct was being measured using highly related dimensions. There was a reasonable correspondence between qualities for sustained leadership as derived from literature survey and those derived from respondents’ answers in which they named top five qualities, required for constancy in leadership as defined in the paper. The qualities were found to be in harmony with the Spiritual leadership theory and also servant leadership and authentic leadership.