Miracle-dz/UniFAR-FTUs huggingface dataset:
Supply Chain Management of Guava- A Case Study of Allahabad District (Uttar Pradesh, India)

This study was done in the district of Allahabad, a region best known for the good produce of guava. The main aim of the study was to observe the total production of guava under different size holding for that the farmers were divided into three size groups small, medium and large. The average total yield in different size groups was calculated to be 50.88qtls in small size group, 107.72 in medium size group and 240.63qtls in large size group. It was found that there were two main channels prevailing in the district i.e channel 1 composed of producer-wholesaler-retailer-consumer and channel 2 composed of producercontractor-wholesaler-retailer-consumer. There were lots of problems involved in the marketing of guava viz. absence of producer’s association, guava wilt, long chain of middlemen and absence of marketing intelligence and finance.
Various Feature Extraction Techniques in CBIRS: Survey

: Content based image retrieval is also called as query by image content (QBIC) and content based visual information (CBVIR), which is the application of computer system techniques to the image retrieval problem that means the process of searching digital images in huge databases. Content-based image retrieval (CBIR) is better than that of traditional approaches. Content-based means that the search will analyzes the contents of the image not keywords, tags, or descriptions, which is to be associated with image. Content basically deals with colors, textures and shapes. CBIR is necessary as searches rely on metadata are dependent on annotation quality . The evaluation of the effectiveness of keyword image search is subjective and is very time -consuming.
A Simplified Matlab Based Simulation Of PV Module With Effect Of Temperature And Irradiation

This paper presents Matlab script based simulation model for a PV cell in order to allow estimate the electrical behavior of the cell with respect changes on environmental conditions of temperature and irradiance. An accurate PV module electrical model is presented based on the Shockley diode equation. The general model was implemented using Matlab script, and effect of irradiance and temperature as variable parameters and effect on outputs the I-V characteristic is studied. A particular typical 180W solar panel was used for model evaluation, and results was compare with points taken directly from the manufacturer’s published curves and show good correspondence to the model.
A Practical Approach to Faster Spatial Queries with Keywords

- In database search the similar data with multimedia databases requires support of near-neighbor to access high dimensional data for accessing of individual queries. The respondents of voronoi based accessing based cell to allow the high datasets. In the proposed mechanism the efficiency of the data and distributed data can access the cells, in the R-tree Patterns. In this method the data can be verified and classified in to the root node to child node for identifying the neighbor node for the similar multimedia datasets. In our new approach, we therefore pre compute the result of any nearest-neighbor search which corresponds to a computation of the voronoi cell of each data point. In a second step, we store the voronoi cells in an index structure efficient for high-dimensional data spaces. As a result, nearest neighbor search corresponds to a simple point query on the index structure. Although our technique is based on a precipitation of the solution space, it is dynamic, i
Restoration of Digitized Vintage Films Using Video Inpainting

Inpainting is very advanced application of Digital Image Processing. Image inpainting or image completion is the technique that automatically restores/completes removed areas in an image. To restore videos image inpainting techniques shows some limitations. Video inpainting is an important video enhancement technique used to facilitate the repair or editing of digital videos. Now a day's transformation of cultural artifacts such as vintage videos/films into digital formats has been employed worldwide. Such videos usually have very poor quality and often contain unstable luminance and damaged content. This paper presents a video inpainting algorithm for repairing damaged content in digitized vintage films, focusing on maintaining good spatial (intra-frame) continuity. The key technique utilized so as to achieve spatial continuity is Frame completion. Frame completion repairs & restores damaged contents of frames of a video. Frame completion algorithm is one of the types of the Inpainting algorithm. This algorithm produces a visually pleasing video with good spatial continuity.
The Effect of Choline Chloride on the Performance of Broiler Chickens

Aim: A study was conducted to investigate the effect of graded levels of choline on the growth performance, dressed carcass yield, internal organs and haematological parameters of broiler chickens. Materials and Methods: A total of three hundred day old mixed sex broiler chicks were shared into five treatment groups of sixty birds each and twenty birds for each of the three replicates. Birds in (T1) belonged to the control. Those in T2 had 500 mg/kg choline chloride supplementation of their feed, those in T3 had 1,000 mg/kg choline chloride supplementation, and birds in T4 had 1,500 mg/kg choline chloride supplementation, while those in T5 had 2,000 mg/kg choline chloride supplementation. Data collected were the growth parameters, dressed carcass, internal organs and haematology. Original Research Article Igwe et al.; ARRB, 8(3): 1-8, 2015; Article no.ARRB. 19372 2 Results: There were significant differences (p<0.05) in the average final weight, average weight gain, daily weight gain, daily feed intake, and feed conversion ratio with improvement as the choline supplementation increased from 500 to 2,000 mg/Kg of feed. The dressed carcass and internal organs showed no significant differences (p<0.05). For the haematology, the red blood cell (RBC) count, white blood cell (WBC) count, lymphocyte count, monocyte count and basophil count showed significant differences (p<0.05). Conclusion: It was concluded that choline should be included at 2,000 mg/kg of broiler’s diet.
The Endoscopic Management of Sphincter of Oddi Dysfunction

Citation: Sara Ghani. , et al. “The Endoscopic Management of Sphincter of Oddi Dysfunction”. EC Gastroenterology and Digestive System 7.3 (2020): 01-06. Abstract Background and Aims: Sphincter of Oddi dysfunction (SOD) is a syndrome of chronic biliary pain or recurrent pancreatitis due to functional obstruction of pancreaticobiliary flow at the level of the sphincter of Oddi. This study aim is to review the management of SOD without performing sphincter of Oddi manometry or scintigraphy, as well to study the interest of ERCP for SOD diagnosis and treatment.
Performance Comparison of Blind Image Processing Algorithms

Several image processing algorithms have been developed to help recover images distorted by blurring, turbulence, interference, and noise. Such algorithms include Lucy-Richardson (LR); constrained least-squares (CLS), also known as regularized filtering; Wiener filtering (WF), or deconvolution; and the Fractional Fourier Transform (FrFT). If the source of the corruption is known or can be estimated, then all of these techniques perform very high quality image reconstruction. However, when the corruption is not known, we must blindly correct, and only the former three techniques can operate blindly In this paper, we describe the blind counterparts to the WF, LR and CLS image processing algorithms, and we validate through simulation that CLS performs better than LR, in terms of minimizing the mean-square error (MSE) between the original and reconstructed image, often providing an order of magnitude reduction in MSE over LR; in blind mode WF and LR are nearly identical, so we only consider LR in simulations. CLS is also not as computationally complex as LR, which requires many iterations to produce the image estimate. Hence, for blind image restoration, CLS is the recommended approach.
Consumption of Facebook Website Impact on Academic Performance and Health Hazards: A Study of RawalPindi Medical College Students

The Rapid development of technology has changed the individual and social life while use of various websites with advanced digital devices. Utilization of Face book website is one of them recently played a vital role in the social circle of Students lives particularly at educational environments. Academic authorities build an efforts to produce an honest quality and supportive learning interfaces. Each and every student is engaged to become a part of such a social network i.e. Facebook. The researcher selected the rural university of Arid Agricultural University Punjab province and 217 Questionnaire distribute among the respondents of undergraduate students of Rawalpindi Medical College. This paper is carried out the effects of Facebook use on health and academic performance. Moreover, this paper provides the critical analysis to the way students are socialized towards Facebook and another side they forget their educational aims and learning stage and where be them stands now? Whereas they’re totally unaware corresponding future consequences and misinterpret the hidden hazards besides the utilization of Facebook.
Computer and

: The Internet, a collection of networks allows transmission of information from one place to another. Today's internet is growing fast; devices to the network for accessing and providing the services. The Traditional network makes it a difficult task to add and remove the network devices. The Static Nature of the conventional network makes it difficult to accomplish the dynamic computing and storage desires of big data centers and campuses. Software-Defined Networking is the new approach to networking. Software Defined Network model promises to simplify the network configuration and resource management. Software Defined Networking will replace the current network and fulfill the business needs via software rather than hardware. This paper introduces the concepts of Software Defined Network which will help to configure and manage the network needs.
Hybrid Cloud Approach for Secure Authorized Deduplication

: Data deduplication is one of important data compression techniques for eliminating duplicate copies of repeating data, and has been widely used in cloud storage to reduce the amount of storage space and save bandwidth. To protect the confidentiality of sensitive data while supporting deduplication, the convergent encryption technique has been proposed to encrypt the data before outsourcing. To better protect data security, this proposed system makes an attempt to formally address the problem of authorized data deduplication. Different from traditional deduplication systems, the differential privileges of users are further considered in duplicate check besides the data itself. We also present several new deduplication constructions supporting authorized duplicate check in a hybrid cloud architecture. Security analysis demonstrates that our scheme is secure in terms of the definitions specified in the proposed security model. As a proof of concept, we implement a prototype of our proposed authorized duplicate check scheme and conduct testbed experiments using our prototype. We show that our proposed authorized duplicate check scheme incurs minimal overhead compared to normal operations.
EFFICIENT KEYWORD SET SEARCH WITH PMHR

Multi-dimensional datasets are datasets in which each data point consists of set of keywords in abstract space that concede to develop a new mechanisms for querying and explore these multi-dimensional dataset. In this proposal, we learn nearest keyword set search queries on text-rich, multi-dimensional datasets with ranking functions. A peculiar method called PMHR (Projection and Multi-scale Hashing with Ranking) that uses random projection, hash-based index structure, and ranking. Ranking is done based on repentance of keywords. Ranking is done by using tf-idf technique and provide efficient results. Keyword-based search is done on text-rich multi-dimensional datasets which facilitates many peculiar applications and mechanisms. We considered objects that are appended with keywords and are impacted in a vector space. From these datasets, we are going to study queries that are from the tightest groups of points by gratifying a given set of keywords.
Noise Level Estimation from a Single Image

: In order to significantly remove noise, most existing denoising algorithms simply assume the noise level is known. Moreover, even with given true noise level, the denoising algorithms still cannot achieve the best performance, especially with rich texture. In this paper, we recommend a patch based noise level estimation algorithm. Our approach includes the process of selecting low rank weak textured patches without high frequency components. The selection is based on the gradients of the patches and their statistics. The noise level is estimated from the selected patches using principal component analysis. Then we perform the denoising algorithm by using bilateral filter. We demonstrate experimentally that the proposed noise level estimation algorithm outperforms the state of the art algorithm.
The Challenges of Multi-Core Processor

One of the most important trend of increasing the speed of processor to get a boost in performance is Multi-core. Multi-core processors are the new direction manufacturers are focusing on. A multi-core processor has many advantages especially for those looking to boost their multitasking computing power of system. These kinds of processors provide few complete execution cores instead of one, each with an independent interface to the front side bus. Since each core has its own cache, so the only one operating system which has sufficient resources and provides a noticeable improvement to multitasking can handle intensive tasks in parallel. But in fact there are some pluses and minuses when we add new cores. In this article, our main goal is describe some of the important challenges of multi-core. In addition, the paper describes its basic concept, advantages, and a sample of Dual-core Processors in Intel and AMD.
Health Promotion Intervention for Increasing Cervical Cancer Awareness Screening: A Systematic Review

Background: Cervical cancer is the second largest cause of death among women around the world, and the incidence is reportedly increasing, particularly in developing countries. Screening, as early detection is needed to decrease the rate of cervical cancer. Therefore, it requires health promotion to raise women’s awareness of cervical cancer screening. This study aimed to review health promotion intervention to increase cervical cancer awareness screening. Methods: This systematic review performed between January 2014 and November 2019 on research articles published through the database on PubMed and ProQuest. The research was limited to English language journal articles. Articles type by reviewing the abstracts and the titles. Potential abstracts were included, meanwhile irrelevant, and no full-text articles were excluded. Data were analyzed with narrative synthesis. Results: In health promotion for increasing cervical cancer awareness, based on the review of six studies, screening needs to be carried out with combine methods. The health belief model is the most popular used framework for cervical cancer screening interventions. The present review also suggests that different health promotion interventions are effective in modifying cervical cancer screening behavior of women. It is preferable to use brochures, lectures, videos, leaflets, group discussions, and multimedia intervention. Conclusion: Promoting cervical cancer and cervical cancer screening by using a combination of methods will give a better understanding and a better attitude towards screening.
Recruitment Practices in Malaysian Knowledge Intensive Start-Ups

This paper investigates Strategic Human Resource Management (SHRM) practices adopted by knowledge intensive start-up companies in Malaysia. SHRM is considered a key to the success of these firms in line with the Resource-Based-View (RBV) of the firm. Particular focus was given to recruitment practices as recruitment is viewed as having the most significant short term impact for start-ups. This paper is based on the case study of three Malaysian knowledge intensive start-ups. The study finds that Malaysian start-ups do not perceive SHRM as critical for their success. Owner-managers of Malaysian startups prefer an informal & unstructured SHRM process. Key SHRM areas of recruitment and compensation are ad hoc. These findings are in line with other studies carried out globally. This paper discussed the pros and cons of the SHRM practices at Malaysian Knowledge intensive start-ups and recommends a framework for recruitment in small knowledge intensive start-ups is proposed.
Corporate Social Responsibility: Challenges in India

The present societal marketing concept of companies is constantly evolving and has given rise to a new conceptCorporate Social Responsibility. Many of the leading corporations across the world had realized the importance of being associated with socially relevant causes as a means of promoting their brands. As an engine for social progress, CSR helps companies live up to their responsibilities as global citizens and local neighbors in a fastchanging world. A lack of understanding, inadequately trained personnel, coverage, policy etc adds to the problem of effectiveness of CSR programs. Large number of companies are undertaking these activities superficially and promoting highlighting the activities in Media. This paper focuses on CSR and challenges faced by its activities in India. The objective of the study is to understand the challenges in execution of Corporate Social Responsibility and also its Practices and its impact on Business. Research methodology used is Secondary sources like journals, text books, research papers and websites. As per the new Companies Act 2013, corporate social responsibility is emerging as a catalyst in socio economic development of the country. Due to the provisions of corporate social responsibility, it is evolving as a new tool of social development. The practices and initiatives taken by corporate to develop the Indian society is making a robust change and it can be seen around us. The understanding and fulfilling the needs of downtrodden as well as the Indian organizations is very important for creditable performance and growth. With this background, an attempt is made in this paper to comprehend and gain insight into behavior or attitude of companies towards various aspects of social contribution.
Effective Moving Object Detection Using Background subtraction in Complex Wavelet Transformation

— The analysis of human body motion is an important method. This method is widely used in motion detection, motion analysis, intelligent control and many other fields. In the analysis of human body motion; the moving human body detection is important part. The moving human body is detected from the background image in video sequences. In this letter; we propose a complex wavelet transformation domain scheme for videos with moving background and static cameras. This scheme suggests two different methods; the first model is background subtraction and second model is background updating model to extracts the object based on thresholding. The strength of the scheme lies in its simplicity and defines transformation domain to transform the image from time domain to frequency domain to accommodate illumination variation as well as motion in the background. After getting moving object to remove to remove the noise morphological filtering is done. The noise in the form of disturbances which present in the background. The background subtraction method is accurate, fasrer and fits in detecting real time environment. The performance metrics such as sensitivity, peak signal to noise ratio, root mean square error, and correlation coefficient of the object detected is measured.
Development of a PD-L1 immunohistochemistry (IHC) assay for use as a companion diagnostic for pembrolizumab (MK-3475) in non-small cell lung cancer (NSCLC).

11065 Background: Tumors express PD-L1 to contribute to escape from immunosurveillance. We developed a PD-L1 IHC assay to investigate whether it could predict response to pembro in NSCLC patients (pts) and be used as a companion diagnostic. Methods: The assay uses the 22C3 anti–PD-L1 murine monoclonal antibody on the Dako platform. One pathologist scored each tumor sample by 4 methods: percentage of cells staining at any intensity (PS1), percentage of cells staining at moderate/strong intensity (PS2), percentage of cells staining at strong intensity (PS3), and H-score (HS = PS1 + PS2 + PS3). Only cells with at least partial membrane staining were counted. Receiver operating characteristic analysis was used to compare scoring methods and determine a cutoff using data from 146 NSCLC pts treated with pembro in KEYNOTE-001 who had tumor evaluable for PD-L1 expression by IHC and data for response (immune-related response criteria, investigator review). Samples from the first 31 pts were also tested with a prot.
A study of menopausal blind women and prevalence of breast cancer

A correlation between prevalence of breast cancer with blindness has not been attempted in India and only scanty information is available at the world scenario as well. We have done a pilot study by epidemiological survey of blind menopausal (high risk age group) women (n = 204) from Chennai to find the prevalence of the disease. In the present study, menopausal visually challenged women have shown that the ratio at risk of developing breast cancer in this group is very much lower ( 1:100 ) compared to sighted women in the similar age group, The risk of developing breast cancer is 1:78 (Cumulative Risk 35 64 age), among sighted women in Chennai. Statistical analysis of the present data also provide enough evidence that blind women who are > 40 years of age had 13% greater risk of breast cancer compared with those in the study group < 40 years (RR = 1.125; 95% CI = 0.07 to 17.74). The susceptibility to develop the disease among partially blind women is almost twice than that of totally blind women (RR = 2.14; 95% CI = 0.14 to 33.68). Similarly menopausal stage of a woman has more risk of developing breast cancer than pre-menopausal stage (RR = 5.18; 95% CI = 0.33 to 80.75). Vision loss after menarche also indicates an increased risk (RR = 8.27; 95% CI = 0.54 to 127.6) . The intervals for these risks give a very wide range of possible values for the corresponding risk ratio due to small sample size and the rarity of breast cancer among blind women. The topographical location of India close to the equator and life style pattern of the people could be the major reasons for the very low prevalence of breast cancer in Chennai. None of the other high or low risk factors were found to be influencing blind women to develop breast cancer. The relationship between visible light and breast cancer can be studied by taking blind menopausal women as a model.