Miracle-dz/UniFAR-FTUs huggingface dataset:
Control of penicillium expansum Link Causing Blue Mold of Pear Using Some Fungicides

Copyright: © 2016 | Author(s), This is an open access article under the terms of the Creative Commons Attribution-Non-Commercial No Derivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is noncommercial and no modifications or adaptations are made. Blue mold of pear is caused by Penicillium expansum Link. Thom. ex. is one of the most serious post harvest disease in India. Total twenty three isolates of P. expansum were isolated from infected pear fruits for sensitivity tested against carbendazim on Potato Dextrose Agar (PDA) medium. Sensitivity of these isolates to carbendazim was determined using food poisoning method. In vitro Minimum Inhibition Concentration (MIC) for carbendazim was determined; isolate Pe-9 MIC750. 6μg/ml was sensitive while isolate Pe-15 MIC-970.3 μg/ml was tolerant. In vivo Pe-9 MIC-1900. 2μg/ml was sensitive. Pe-15 MIC2470. 3μg/ml was tolerant. Carbendazim resistant mutant (Pe-EMS-10, MIC-4850.6μg/ml) is equally important to manage using different fungicides. P. expansum was tested against carbendazim and other fungicides viz. dithane Z-78, polyram, acrobat, kocide, dithiocarbmate, thiobendazole and diphenylamine. In vitro results revealed that the Percentage Control Efficacy (PCE) values range at 50% Conc. (44.02 49.28%) while at 100% Conc. (50.89 61.39%) individually and in mixture with carbendazim increased its PCE from at 50% Conc. (55.39 68.98%) while at 100% (68.72 -73.57%). In vivo PCE at 50% Conc. (51.62 56.95%) individual and mixture (57.25 59.26%) while at 100% from alone (58.32 69.36%) and in mixture (71.63 79.82%) PCE further increased and without fungicide served as control.
TEXT DOCUMENT CLUSTERING USING K-MEANS ALGORITHM

- Text document Clustering is the process of gathering relevant information into cluster. A cluster is specially designed for storing and analyzing the huge amount of text documents. There are several algorithms for clustering the large set of information from the text documents. In this paper, K-Means clustering algorithm is carried out to cluster the text documents. Document term matrix is constructed using the documents and all the unique words of documents. This matrix is highly sparse and it introduces complexity in clustering process. Dimension reduction techniques can be used to reduce the dimension of the document term matrix which intern reduces the complexity of clustering algorithm. In this paper, text documents are clustered using three dimension reduction (DR) techniques and it is compared with K-Means clustering algorithm. BBCSports dataset has been used for the experiment K-Means clustering using dimension reduction outperforms the K-Means clustering algorithm is proved through the experimental results.
Improved Rendezvous Nodes Based LEACH Using Hybrid PSO/GA

--Wireless sensor networks consists of many spatially distributed small sensor nodes that are used to monitor various environmental conditions. The sensor nodes are equipped with limited power supply, so utilization of the energy efficiently and increasing their lifetime becomes a primary design objective for wireless sensor networks. Number of methods has been proposed to increase the lifetime of these sensor nodes in a network. The present research proposes a new rendezvous nodes LEACH protocol with the hybrid PSO/GA based routing. The PSO/GA based technique has improved the path selection of rendezvous nodes LEACH . The proposed technique is designed and implemented in MATLAB 2013.The results has shown significant improvement of the proposed technique.
Design of High Speed 5:2 Compressor for Fast Arithmetic Circuits

: Multipliers are important components that dictate the overall arithmetic circuits’ performance. The most critical components of multipliers are compressors. In this paper, a new 5:2 compressor architecture based on changing some internal equations is proposed. In addition, using an efficient full-adder (FA) block is considered to have a high-speed compressor. The proposed architecture is compared with the best existing designs presented in the state-of the-art literature in terms of power, delay and area.
An Elaborated Review on Steganography Techniques

: Data hiding techniques are very important for the timely growth of intensive transfer of multimedia content and private communications. The Steganography is the art of hiding information in the cover image that can be used to transfer data and information from one source to other. It hides the existence of the message so that the information is transferred in a secret way. Steganography is possible in digital images also. Many different carrier filescan be used, like digital images which are commonly used nowadays. The concept of hiding the secret message can be done with the help of many steganography techniques like LSB, PVD, etc. Various applications have different requirements and accommodate various methods with advantages as well as disadvantages. This paper intends to provide a review of image Steganography, its uses,and techniques. It also attempts to identify the requirements of a good Steganography algorithm and briefly reflects on which Steganography techniques are more suitable for which applications.
A Review on Aerodynamic Analysis of Horizontal Axis Wind Turbine Blade Using CFD Technique

— Energy requirement is increasing day to day and therefore renewable energy source is most power full way to full fill requirement of energy. Wind energy is one of the most efficient renewable energy. The aerodynamic airfoils of wind turbine blades have crucial influence on aerodynamic efficiency of wind turbine. This involves the selection of a suitable airfoil section for the proposed wind turbine blade. Airfoil shape of wind turbine and design of airfoil shape are investigated in this review paper. General airfoil behavior and airfoil optimization for improve coefficient of lift are to be investigate in this review paper. The aerodynamic airfoils of wind turbine blades have crucial influence on aerodynamic efficiency of wind turbine. This involves the selection of a suitable airfoil section for the proposed wind turbine blade. Airfoil is most affecting parameter in whole wind turbine for extracting energy so it is necessary to design for maximizes aerodynamic efficiency for high energy production rate.
A modernistic architecture of masked Advanced Encryption Standard algorithm for SAN

- The present information and technology processed by computers to access the private information like video conferencing, account status in bank, e – transaction of money and business deals through internet for all these encryption of the information in various forms are necessary. So to protect the information from different attacks using symmetric or asymmetric key encryption by adding the random value to the intermediate result is called masking. In terms of computational complexity symmetric key algorithm is less complex than the asymmetric or multiple key algorithms. The aim is to provide the data security to the storage area network and also the proposed method is to optimize the masked AES with the unrolled structure and it can be achieved through mapping operation. Hence to optimize the area of masked AES only needs to map the plain text and masking values from Galois Field 256 (GF (2 8 )) to Galois Field 16 (GF(2 4 )) once at the start of the operation and map the cipher text back from Galois Field 16 to Galois Field 256 once at the end of the operation. So just moving masking operation as well as the inverse mapping operation outside the masked advanced encryption standard algorithm round function area can be reduced.
Int. J. Biosci

The overpopulation exploration developed and developing countries have led to the production of large quantities of municipal solid waste (MSW). The waste generated is consequently discharge into the atmosphere. In India enormous quantities of disposable organic wastes materials like MSW rich in nutrients were presented. Though macro nutrients (Nitrogen (N), Phosphorus (P) and Potassium (K), and micro nutrients are available more in MSW, it is not properly recycled (or) decomposed (or) bio-composting (vermicomposting). Raw MSW cannot be eaten directly by earthworms due to its offensive odour, heavy metals, water leachate etc. So the organic wastes such as dairy farm waste cowdung and a sugar industrial waste pressmud with soil high nutritive content were mixed in equal proportion and used as bedding material (BM). The experimental media were prepared on dry weight basis by mixing the MSW + BM in the following percentage: T1 – 20% BM + 80% MSW, T2 – 40% BM + 60% MSW, T3 – 60% BM + 40% MSW, T4 – 80% BM + 20% MSW, controls (BM alone) were also maintained separately. To observe the changes in pH, electrical conductivity (EC), organic carbon (OC) and macro nutrients (N, P, K) and carbon: nitrogen (C:N) ratio in the initial substrate and vermicomposts of earthworm from the above mentioned media at the intervals of 0, 15, 30, 45 and 60th day.The alteration of pH near neutral was observed in the vermicomposts of T4 it might be due to higher acid production by vermicomposts. Higher EC values were achieved in the vermicomposts of T4 it could be due to the higher mineralization by salts. The chemical analysis of vermicompost showed significant increase in the level of macro nutrients over worm unworked compost (initial) mixture. Among the different experimental proportions T4 showed significant increase in the level of macro nutrients. Reduced content of organic carbon was observed in all the treatments but most reduction was found in T4.The drastic reduction in C:N ratio were found in the vermicomposts. The large quantities of degradable organic waste available in municipalities and road sides can be vermicomposted along with any organic additives to convert into the valuable organic manure. In addition to this, it may be recommended that the vermicompost from MSW is utilized for sustainable organic agriculture. * Corresponding Author: S. Ananthakrishnasamy  saksamy@gmail.com International Journal of Biosciences | IJB | ISSN: 2220-6655 (Print) 2222-5234 (Online) http://www.innspub. net Vol. 4, No. 2, p. 188-197, 2014
Wavelet Analytical Study of Sulphur Dioxide as an Air pollutant Dr .

Most of the sulphur dioxide in the atmosphere is an anthropogenic by-product. It is one of the basic causes of acid rain worldwide. NAAQS set the level of sulphur dioxide in the atmosphere for the safety of human health and environment. Breathing of Sulphur dioxide becomes the cause of many diseases concerned with a respiratory system like Bronchitis, Asthma, etc. In the perspective of human health and environment protection, continuous monitoring and analysis have become of great importance. Wavelet is a tool to analyze the non-stationary signal and hence wavelet transforms provide excellent analysis of non-stationary time series of SO2 and extracts important information. Daubechies4 wavelet is orthogonal and compactly supportive and therefore, it is useful for multiresolution analysis of SO2 data. Wavelet transforms provide simple and accurate framework for modeling the statistical behaviour of SO2 variation in the interest of public health and environment protection.
The Effect of Punica Granatum Gel as An Adjunctive Therapy in Patients with chronic Periodontitis: A Clinical, Microbiological and histological Study

Background: Periodontitis is defined as an inflammatory disease of the supporting tissues of the teeth caused by groups of specific microorganisms, resulting in progressive destruction of the periodontal ligaments and alveolar bone with increased probing depth formation, recession, or both. Herbal medicine has been widely used all over the world since ancient times for their better therapeutic value and fewer adverse effects. Punica granatum (Pomegranate) is one of the oldest edible fruit which has a long history as a medicinal fruit that has been reported to promote tissue healing and modulate host responses. The purpose of this research was to evaluate the effectiveness of Punica Granatum gel as an adjunctive to non-surgical periodontal therapy in patients with moderate to severe chronic periodontitis. Methodology: Twenty periodontal sites in ten patients with moderate to severe chronic periodontitis aged between 20 and 45 years with pocket depth of 5-7 mm were included. Supportive periodontal therapy (SPT) was provided and the target teeth in the test quadrant received subgingival delivery of the medicated gel while the control quadrant received placebo gel. The clinical parameters, which include bleeding index (BI), gingival index (GI) and plaque index (PI) were recorded at baseline and after 15 days. The antimicrobial activity of the test gel was evaluated microbiologically and the anti-inflammatory effect was evaluated both clinically and histologically. Results: Significant reduction in mean bleeding index (BI), gingival index (GI) and plaque index (PI) was observed from baseline to 15 days’ post gel application. In test sites compared to control sites. The microbiological results revealed that oral gel of Punica granatum was potentially effective in suppressing microbial growth. Histological results revealed mild perivascular inflammatory reaction and increased collagen fibers in test specimens compared to dense infiltration of inflammatory cells with destruction of collagen fibers in control sites. Conclusion: Local delivery of Punica granatum gel plus scaling and root planing significantly reduced the clinical signs of chronic periodontitis and improve the gingival health. [Baian AL Dobayan, Feda'a AL Ayeid, Ibtihal AL Guraid Ghada Bassiouny, Suliman AL Nasser. The Effect of Punica Granatum Gel as An Adjunctive Therapy in Patients with chronic Periodontitis: A Clinical, Microbiological and histological Study. J Am Sci 2019;15(1):12-19]. ISSN 1545-1003 (print); ISSN 2375-7264 (online). http://www.jofamericanscience. org. 3. doi:10.7537/marsjas150119.03.
Can Franchisors Balance Adaptation and Standardization? Toward Theorizing Ambidexterity in Franchisors

Franchising is a growth strategy in which franchisors grant other parties the right to use their brand, processes and value propositions in different geographical places. Consistency in products and services across different branches is considered as a prominent feature of this business model. This; however, may diminish the firm’s ability to adapt to local preferences. Accordingly, one of the main challenges franchisors are encountered is how to achieve a decent balance between adaptation and standardization activities. While the literature of franchising provides less insights into the way franchisors can mitigate this tension, building on the literature of organizational ambidexterity this research theorizes potential factors enabling franchisors to be the so-called ambidextrous firms. We propose that plural form, portfolio network management, diversity in target markets, and strategic orientations can enhance a franchisor's ability for adaptation-standardization duality. This opens novel 1 Corresponding author’s email: f.joharianzadeh@gmail.com International Journal of Management, Accounting and Economics Vol. 2, No. 10, October, 2015 ISSN 2383-2126 (Online) © Authors, All Rights Reserved www.ijmae. com 1279 paths for research aiming to enhance our understanding of the way franchisors can improve their performance.
Review of "Achieving Secure, Scalable, and Fine-grained Data Access Control in Cloud Computing "

Cloud computing is an emerging computing paradigm in which resources of the computing infrastructure are provided as services over the Internet. As promising as it is, this paradigm also brings forth many new challenges for data security and access control when users outsource sensitive data for sharing on cloud servers, which are not within the same trusted domain as data owners. To keep sensitive user data confidential against untrusted servers, existing solutions usually apply cryptographic methods by disclosing data decryption keys only to authorized users. However, in doing so, these solutions inevitably introduce a heavy computation overhead on the data owner for key distribution and data management when fine-grained data access control is desired, and thus do not scale well. The problem of simultaneously achieving fine-grainedness, scalability, and data confidentiality of access control actually still remains unresolved. This paper addresses this challenging open issue by, on one hand, defining and enforcing access policies based on data attributes, and, on the other hand, allowing the data owner to delegate most of the computation tasks involved in fine-grained data access control to untrusted cloud servers without disclosing the underlying data contents. We achieve this goal by exploiting and uniquely combining techniques of attribute-based encryption (ABE), proxy re-encryption, and lazy re-encryption. Our proposed scheme also has salient properties of user access privilege confidentiality and user secret key accountability. Exten-sive analysis shows that our proposed scheme is highly efficient and provably secure under existing security models.
Multiple Feature Fusion for Facial Expression Recognition in video

: Video based facial expression recognition has been a long standing issue and pulled in developing consideration as of late. Thekey to a fruitful facial expression recognition framework is to abuse the possibilities of varying media modalities and plan vigorous featuresto successfully portray the facial appearance and setup changes caused by facial movements. We propose an effectiveframework to address this issue in this paper. In our investigation, both visual modalities (confront pictures) and sound modalities (discourse) areutilized. Another feature descriptor called Histogram of Oriented Gradients from Three Orthogonal Planes (HOG-TOP) is proposed toextract dynamic surfaces from video successions to portray facial appearance changes. Furthermore, another viable geometric featurederived from the warp change of facial points of interest is proposed to catch facial design changes. In addition, the part ofaudio modalities on recognition is likewise investigated in our examination. We connected the multiple feature fusion to handle the video-based facialexpression recognition issue under lab-controlled condition and in the wild, individually. Examinations directed on the extendedKohn-Kanada (CK+) database and the Acted Facial Expression in Wild (AFEW) 4.0 database demonstrate that our approach is hearty indealing with video-based facial expression recognition issue under lab-controlled condition and in the wild contrasted and theother best in class techniques.
Fetal Anatomy: Morphometry of Vertebral Canal and Spinal Cord of Cervical Region in Human Fetuses

Background: Fetal anatomy is now becoming popular with advancement in fetal surgery in-utero. The knowledge regarding the embryonic development of vertebral canal plays an important role in diagnosis of congenital anomalies as well as fetal surgeries of the vertebral canal. Methods: Sixty fetuses which were preserved in 10% formalin were divided into five groups according to the gestational age. Spinal cord was exposed by opening vertebral canal from behind by laminectomy. The parameters like length of cervical part of vertebral canal, transverse diameter of canal at different vertebral levels, transverse and antero-posterior diameter of spinal cord were measured. Results: All parameters of cervical vertebral canal i.e. length of vertebral canal, transverse diameters at different vertebral levels exhibited a stable but variable rate of growth with advancing gestational age. Similarly, the parameters of spinal cord, antero-posterior and transverse diameters of spinal cord at upper, middle and lower vertebral levels revealed similar growth pattern with increasing gestational age. Conclusion: These measurements prove to be helpful in deciding the age of the fetus, early diagnosis of congenital disease and in utero fetal surgeries.
Stress-Strain Analysis of Abdominal Aortic Wall: A Case of 3D Geometry Simulation P. Khamdaengyodtai, P. Sakulchangsatjatai and P. Te rdtoon

Problem statement: This study analyzed stress-strain of abdominal aort ic wall in 3D geometry simulation. Abdominal aorta is a portion o f the aorta vessel in the abdomen which many cardiovascular diseases often occur. Approach: Abdominal aortic wall was considered as 1 layers-3 dimensional cylindrical geometry and homogeneous, i ncompressible and anisotropic material. Deformation of aortic wall was elastic deformation. Numerical method was used in our simulation. The abdominal aorta was under luminal loading of pr essure in physiological pressure range of mice. Experimental parameters from previous study were us ed as initial configuration of present study. To verify present simulation, the simulation results w ere compared with the experimental data from previous study. Results: From the simulation, the wall thickness decreased, whereas the diameter, lumen cross-sectional area increased with internal pressures. The magnitude of radial stress, longitudinal stress and circumferential stress incr eased with increasing internal pressure and values were largest at the inside surface. The radial stre s was obviously compressive and varied from a valu e equal to the negative of the internal pressure at t he inside to zero at the outside. Conclusion: Stressstrain analysis of abdominal aortic wall in a case of 3D geometry simulation can be simulated using numerical model. This model had been verified with experimental data from previous study. Good agreement was obtained. Mathematical model which co nsidering aortic wall by using finite element method could be beneficially used as addition data for medical diagnosis.
Comparision of Commercially available Desensitizing Toothpastes in the Management of Dentin Hypersensitivity- A Randomized Controlled Clinical Trial

Backround: Dentin Hypersensitivity is a sharp painful response that occurs when exposed dentin tubules are subjected to various stimuli. Studies have shown that toothpastes containing Bio-active glass and Arginine showed better control over tooth sensitivity. Therefore, this study aimed to evaluate and compare the efficacy of two commercially available toothpastes incorporating Arginine and Bio Active glass in the treatment of Dentin Hypersensitivity. Methods: A total of 20 patients with minimum of two hypersensitive teeth with air blast stimulus score of two on Schiff cold air sensitivity scale were recruited. Patients were instructed to brush twice daily with the assigned toothpastes for a period of four weeks. Dentin Hypersensitivity examination was carried out using tactile stimulation, air-blast stimulation and visual analogue scale at baseline and after four weeks by patients and dentist. Data descriptive statistics frequency analysis, percentage analysis was used for categorical variables and the mean & S.D were used for continuous variables. Wilcoxon signed rank test was used to find the significant difference between the bivariate samples and Kruskal Walli's test followed by Mann-Whitney U test was used for multivariate analysis. Results: When comparing Bioactive glass and Arginine group of toothpastes, both showed better reduction in dentin hypersensitivity in Schiff scores, VAS Scores of Air-blast, Tactile sensitivity both by patient and dentist without any statistical significance between groups. Conclusion: Toothpastes containing Arginine and Bioactive glass are effective and almost comparable in reducing the dentinal hypersensitivity.
International Journal of Innovative Technology and Exploring Engineering (IJITEE)

3937 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number J99210881019/19©BEIESP DOI: 10.35940/ijitee.J9921. 0881019  Abstract: In this research work, hitherto unreported photochemical studies on allyl ethers of 1-hydroxy-2-naphthophenone, 2-hydroxy-1-naphthophenone and 3-hydroxy-2-naphthophenone are presented. While allyl ethers of 1-hydroxy-2-naphthophenone were photoactive at 330 nm and the other two ethers were photostable