Fuzzy Lattice Ks-Operator Normal Group

In this paper an algebraic structure fuzzy lattice KS- operator group is defined and derived its properties. We all know that all subgroups of an abelian group are normal. Here the same condition of commutativity is used to define this structure but it is in form of a function as fuzzy set is a function. The basic set on which this structure is defined is a KS operator fuzzy group and also a lattice hence the name.&nbsp

Texture Based Malware Pattern Identification and Classification

Malware texture pattern plays an essential role in defense against malicious instructions which were analyzed by malware analyst. It is identified as a security threat. Classifying malware samples based on static analysis which is a challenging task. This paper introduces an approach to classify malware variants as a gray scale image based on texture features such as different patterns of malware samples. Malicious samples are classified through the machine learning techniques. The proposed method experimented on malware dataset which is consisting of large number of malware samples. The similarities are calculated by texture analysis methods with Euclidian distance for various variants of malware families. The available samples are named by the Antivirus companies which can analyze through supervised learning techniques. The experimental results show that the effective identification of malware texture pattern through the image processing which gives better accuracy results compared to existing work

Computer Aided Diagnosis - Medical Image Analysis Techniques

Breast cancer is the second leading cause of death among women worldwide. Mammography is the basic tool available for screening to find the abnormality at the earliest. It is shown to be effective in reducing mortality rates caused by breast cancer. Mammograms produced by low radiation X-ray are difficult to interpret, especially in screening context. The sensitivity of screening depends on image quality and unclear evidence available in the image. The radiologists find it difficult to interpret the digital mammography; hence, computer-aided diagnosis (CAD) technology helps to improve the performance of radiologists by increasing sensitivity rate in a cost-effective way. Current research is focused toward the designing and development of medical imaging and analysis system by using digital image processing tools and the techniques of artificial intelligence, which can detect the abnormality features, classify them, and provide visual proofs to the radiologists. The computer-based techniques are more suitable for detection of mass in mammography, feature extraction, and classification. The proposed CAD system addresses the several steps such as preprocessing, segmentation, feature extraction, and classification. Though commercial CAD systems are available, identification of subtle signs for breast cancer detection and classification remains difficult. The proposed system presents some advanced techniques in medical imaging to overcome these difficulties

Utilizing Technology to Empower Girls

As early as 10 years of age, girls begin to become more sedentary, their activity levels drop as much as 83 percent as they transition through adolescence. By age 14, only 1 in 10 girls are doing enough physical activity to benefit their health, compared with roughly twice the number of boys of the same age. The mission of FITGirl, Inc. is to empower young girls as they develop and mature by demonstrating positive lifestyle choices; physical, mental, relational and nutritional. The Spring 2019 (Section 1) MIS Capstone class is working with FITGirl, Inc. to enhance the EmpowerU web application - a mobile friendly website that helps girls complete a 12-week EmpowerU program. The MIS Capstone class has partnered with the community and students from RM Marrs Middle School on a beta launch which began in February. This endeavor with FITGirl, Inc. focuses on what is already inside a young girl and help her learn how to tap into her own skills and abilities to shine

Enhancing Face Recognition through Dimensionality Reduction Techniques and Diverse Classifiers

Face recognition is essential component of various applications including computer vision, security systems and biometrics. By examining the efficacy of several dimensionality reduction techniques, including Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Singular Value Decomposition (SVD), and Non-Negative Matrix Factorization (NMF), this paper offers a novel approach to face recognition. These techniques are combined with diverse classifiers, including Support Vector Machines (SVM), Random Forest, LightGBM, and k-Nearest Neighbors (KNN), are employed to evaluate their impact on face recognition accuracy. Experiments were conducted on Olivetti faces data set. We have demonstrated the comparative analysis of different dimensionality reduction techniques classifiers in terms of accuracy, precision, recall, f1score. Results shows the potential of integrating PCA with diverse classification models to enhance face recognition accuracy and highlights its applicability in real-world scenarios.&nbsp

Mammography Image Enhancement using Linear, Nonlinear and Wavelet Filters with Histogram Equalization

In the worldwide, breast cancer is one of the major diseases among the women. In the modern medical science, there are plenty of newly devised methodologies and techniques for the timely detection of breast cancer. However, there are difficulties still exist for detecting breast cancer at an early stage for its diagnoses because of poor visualization and artifacts present in the mammography. Thus the Digital mammographic image preprocessing often requires, enhancement of the image to improve the quality while preserving important details. The proposed method works in three stages. First it removes all the artifacts present in the image. Second it denoise the image by using Linear, nonlinear and wavelet filters. Third, contrast of the image increased by histogram equalization. This method definitely helps to computer aided diagnosis system to increase the accuracy. The experimental results are tested on two standard datasets MIAS and DDSM.

Direct and host-mediated interactions between Fusarium pathogens and herbivorous arthropods in cereals

Fusarium head blight and fusarium ear rot diseases of cereal crops are significant global problems, causing yield and grain quality losses and accumulation of harmful mycotoxins. Safety limits have been set by the European Commission for several Fusarium-produced mycotoxins; mitigating the risk of breaching these limits is of great importance to crop producers as part of an integrated approach to disease management. This review examines current knowledge regarding the role of arthropods in disease epidemiology. In the field, diseased host plants are likely to interact with arthropods that may substantially impact the disease by influencing spread or condition of the shared host. For example, disease progress by Fusarium graminearum can be doubled if wheat plants are aphid-infested. Arthropods have been implicated in disease epidemiology in several cases and the evidence ranges from observed correlations between arthropod infestation and increased disease severity and mycotoxin accumulation, to experimental evidence for arthropod infestation causing heightened pathogen prevalence in hosts. Fusarium pathogens differ in spore production and impact on host volatile chemistry, which influences their suitability for arthropod dispersal. Herbivores may allow secondary fungal infection after wounding a plant or they may alter host susceptibility by inducing changes in plant defence pathways. Post-harvest, during storage, arthropods may also interact with Fusarium pathogens, with instances of fungivory and altered behaviour by arthropods towards volatile chemicals from infected grain. Host-mediated indirect pathogen–arthropod interactions are discussed alongside a comprehensive review of evidence for direct interactions where arthropods act as vectors for inoculum

Oral Surgery, Oral Medicine

Abstract Contrast Radiography is a X-ray procedure that uses a special substance; a contrast medium to highlight tissues and organs that would not be visible otherwise. In the past attempts have been made to detect and to see the extent of tumours in nasopharynx using contrast radiography. X ray contrast radiography of a cystic lesion is not reported yet to the best of our knowledge. The radiographic appearance of cystic lesions in jaws may be illusive especially in maxilla owing to the superimpositions by normal anatomic structures. Unilocular or multilocular appearance of lesion has a lot of significance in radiology as radiographic diagnosis may change accordingly. In the present case we performed contrast radiography of an apparently multilocular cystic lesion. For this procedure we used Urografin 76% (aqueous solution of 0.1 g sodium amidotrizoate and 0.66 g meglumine amidotrizoate (sodium diatrizoate and meglumine diatrizoate) as a contrast agent. The technique we demonstrated is a chair-side technique which can be used to differentiate between unilocular and multilocular lesions of the jaws. It also contributes in locating the lesion and determining its extent. It is a cost effective technique which can narrow down the range of differential diagnosis

Opposing effects of MYZUS PERSICAE-INDUCED LIPASE 1 and jasmonic acid influence the outcome of \u3ci\u3eArabidopsis thaliana–Fusarium graminearum\u3c/i\u3e interaction

Fusarium graminearum (Fg) is an important fungal pathogen of small grain cereals that can also infect Arabidopsis thaliana. In Arabidopsis, jasmonic acid (JA) signalling involving JASMONATE RESISTANT 1 (JAR1), which synthesizes JA-isoleucine, a signalling form of JA, promotes susceptibility to Fg. Here we show that Arabidopsis MYZUS PERSICAE-INDUCED LIPASE 1 (MPL1), via its influence on limiting JA accumulation, restricts Fg infection. MPL1 expression was up-regulated in response to Fg infection, and MPL1-OE plants, which overexpress MPL1, exhibited enhanced resistance against Fg. In comparison, disease severity was higher on the mpl1 mutant than the wild type. JA content was lower in MPL1-OE and higher in mpl1 than in the wild type, indicating that MPL1 limits JA accumulation. Pharmacological experiments confirmed the importance of MPL1-determined restriction of JA accumulation on curtailment of Fg infection. Methyl-JA application attenuated the MPL1-OE- conferred resistance, while the JA biosynthesis inhibitor ibuprofen enhanced resistance in mpl1. Also, the JA biosynthesis-defective opr3 mutant was epistatic to mpl1, resulting in enhanced resistance in mpl1 opr3 plants. In comparison, JAR1 was not essential for the mpl1-conferred susceptibility to Fg. Considering that methyl-JA promotes Fg growth in culture, we suggest that in part MPL1 curtails disease by limiting the availability of a plant-derived Fg growth-promoting factor