Extreme events and event size fluctuations in biased random walks on networks

Random walk on discrete lattice models is important to understand various types of transport processes. The extreme events, defined as exceedences of the flux of walkers above a prescribed threshold, have been studied recently in the context of complex networks. This was motivated by the occurrence of rare events such as traffic jams, floods, and power black-outs which take place on networks. In this work, we study extreme events in a generalized random walk model in which the walk is preferentially biased by the network topology. The walkers preferentially choose to hop toward the hubs or small degree nodes. In this setting, we show that extremely large fluctuations in event-sizes are possible on small degree nodes when the walkers are biased toward the hubs. In particular, we obtain the distribution of event-sizes on the network. Further, the probability for the occurrence of extreme events on any node in the network depends on its 'generalized strength', a measure of the ability of a node to attract walkers. The 'generalized strength' is a function of the degree of the node and that of its nearest neighbors. We obtain analytical and simulation results for the probability of occurrence of extreme events on the nodes of a network using a generalized random walk model. The result reveals that the nodes with a larger value of 'generalized strength', on average, display lower probability for the occurrence of extreme events compared to the nodes with lower values of 'generalized strength'

Assessment of Diara land under Bhagalpur district using remote sensing and GIS tools

The Diara land is found in between the natural levees of the river and formed due to its meandering and course changing behavior. The topography of Diara land is mostly undulating and intersected with numerous dead and disconnected channels, Remote sensing and Geographical Information System (GIS) is a reliable technique to prepare a comprehensive inventory of land use pattern of an area. The present study was carried out to prepare a complete digital map of diara land of Bhagalpur district using spatial software (TNT Mips). On the basis of visual interpretation of the satellite image and physiographic pattern of the land escape, polygons were digitized for area delineation and mapping for diara land. Out of sixteen blocks of Bhagalpur district, only six blocks were identified as an old Diara land (203.26 km2) and thirteen blocks were identified as a new diara land (869.78 km2). Occupied areas viz. Narayanpur, Bihpur, Kharik, Naugachhiya, Ismailpur, Rangra Chowk and Gopalpur blocks were identified under complete diara land. No any one Diara land characteristics ware marked in Shahkund, Goradih and Sanhaula blocks

Analysis of aflatoxin B1 and aflatoxigenic mold in commercial poultry feeds in Tamil Nadu, India

A total of 48 commercial poultry feed samples collected from different poultry feed manufactures in Tamil Nadu, India were examined for the contamination of aflatoxin B1 (AFB1) and Aspergillus flavus. AFB1 in the samples was estimated by sandwich ELISA and the presence of A. flavus was detected by Real-Time PCR assay. Real-Time PCR analysis using A. flavus- specific omt primers confirmed the presence of A. flavus in all the samples tested. ELISA results indicated that the AFB1 contents in the poultry feeds ranged from 1.0 to18.7 ppb, which were below the permissible safe limits for poultry bird consumption and health. The results suggest adoption of good man-ufacturing practices by the commercial poultry feed manufacturers during procurement of feed ingredients, handling, storage and processing which might have suppressed the growth of A. flavus and aflatoxin contamination

ગુજરાત રાજ્યનાં અસંગઠિત ક્ષેત્રમાં કામ કરતા બાળ કામદારો' (પંચમહાલ જીલ્લાના વિશિષ્ટ સંદર્ભમાં)

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Histomorphological Study of Thyroid Neoplasms With Special Reference to Papillary Thyroid Carcinoma and its Neoplastic Histological Mimickers

Thyroid Neoplasms Constitute The Most Common Of All Endocrine Neoplasms And More Than 95 % Arise From Follicular Epithelial Cells. They Encompass A Wide Variety Of Benign And Malignant Tumours. The Most Common Malignant Tumour Is Papillary Carcinoma With A Frequency Of 70 To 85 % With Preponderance Among Young Females. Historically, The Identification Of Papillary Carcinoma Relied On The Presence Of Papillary Architecture. The Current Accepted Diagnosis Is Based On The Nuclear Features That Include Optical Clearing, Overlapping, Nuclear Grooves And Pseudoinclusions. However, Identification Of These Features Remains, At Times Controversial And The Distinction Of Papillary Carcinoma From Its Histological Mimickers Such As Follicular Adenoma And Follicular Carcinoma May Sometimes Be Difficult.1 Despite The Propensity For Lymphatic Dissemination To The Cervical Lymph Nodes, The Majority Of Patients With These Tumours, If Appropriately Treated, Have An Excellent Long Term Prognosis Compared To Nonpapillary Tumours. Hence It Becomes Mandatory To Diagnose Papillary Carcinoma Correctly For Therapeutic Purposes And For Assessing The Prognosis. Immunohistochemistry Helps In The Circumstances Where Cytological Features Do Not Suffice For Differential Diagnosis.2 The Present Study Aims At Histologically Classifying All Thyroid Neoplasms And To Study Its Histomorphological Characteristics And To Evaluate The Expression Of Immunohistochemical Markers Such As Cytokeratin 19 And Thyroglobulin In Cases Of Papillary Thyroid Carcinoma And Its Histological Mimickers

Palm-coein classification of abnormal uterine bleeding and clinicohistopathological correlation

Background: The aim was to categorize women with AUB as per the PALM-COEIN classification system as this is a step towards cause based diagnosis and focused management of patients. The acronym PALM-COEIN comes from arranging basic categories of the classification system. The PALM group comprises the structural entities, which can be measured visually or by using imaging techniques and histopathology. The COEIN group comprises the non- organic types which cannot be defined by imaging or histopathology.Methods: The study comprised 350 women of reproductive age with AUB for minimum 3 month time span. It describes and observes AUB in amount, interval and frequency for women attending out-patient Gynaecology department of C. U. Shah Medical College and Hospital, Surendranagar (Gujrat) over a period of 1year from November 17 to October 18. They were assessed on the basis of structured history, physical examination, local pelvis examination, investigations, USG findings and endometrial histopathological report. Cause of AUB was determined and treatment was given to the patient as appropriated by categorization done in agreement with the PALM-COEIN classification.Results: The most prevalent cause of AUB was ovulatory dysfunction (n=99, 28.2%). Next common cause was leiomyoma (n=90, 25.7%), followed by endometrial causes (n=52, 14.5%), adenomyosis (n=30, 8.5%) not yet classified (n=32, 9.7%), malignancy and hyperplasia (n=28, 8.1%), polyp (n=9, 2.5%), iatrogenic (n=7, 2.2%) and coagulopathy (n=1, 0.3%).Conclusions: The PALM-COEIN classification helps to practically as certain because of AUB, and there by effectively adopt the correct treatment for AUB patients

Holographic Data Storage Technology- The future of Data Storage

In the present times technological advancement has grown at rapid rate. Today most of the people are using smart devices which comprises of various kinds of technologies. One of the most important factor in using technology is to store digital data. Presently most of the work are done using digital devices such as computers and mobiles and people need to store their data in devices but the device has limited amount of storage. So need arises to store more amount of data using less space. For this purpose we need to invent storage technologies which helps people to store more amount of data. In order to meet demands of greater storage there are various storage technologies such as different types of ROM, optical storage discs, USB flash drives which uses different technologies to store data. This paper focuses on Holographic data storage technology which helps people to store large amount of data