Seed (point) of human created cuboid

Geometry is one of the 3 big branches of mathematics. In this, the measurement of the properties of points, lines, planes and solid objects and their relative position in space is studied. The measurement of position is relative to the ‘point’. So the ‘point’ is important in geometry. ‘Point’ is a circle of radius zero in 2D. It is possible to construct all natural geometrical figures like circle, sphere, cylinder, cone, ellipsoid etc. from the expansion of the point itself, or say that the seed of these figures is the 'point'. But the expansion of the point cannot form a cuboid  in any way. Therefore, it is clear that a human-generated cuboid cannot be drawn from all possible expansion of a point. The seed of a cuboid is possible only with the shape of a pyramid. The expansion of its subtle form can form a cuboid. That's why its 'seed' is. Cuboid is a creation created by humans which is not anywhere in the universe. Humans are completely adjusted in this world created by themselves

Rapid detection of dermatophytes from skin and hair

Abstract Background Dermatophytes are a group of closely related keratinophilic fungi that can invade keratinized humans and animals tissues such as skin, hair and nails causing dermatophytosis. They are an important cause of superficial fungal infection. Findings Conventional methods like potassium hydroxide (KOH) microscopy and fungal culture lacks the ability to make an early and specific diagnosis. In this study we have evaluated nested Polymerase chain reaction (PCR) using primers targeting dermatophyte specific sequence of chitin synthase 1 (CHS1) gene and compared with conventional test. A total of 155 patients clinically suspected with dermatophytosis were included in the study. Of which 105 specimens were skin scrapings and 50 were hair. KOH microscopy, fungal culture and first round and nested PCR were done on clinical specimens, and results compared. Nested PCR for dermatophytes was positive in 83.8% specimens, followed by KOH microscopy (70%), first round PCR (50.8) and fungal culture (25.8). Conclusion Results indicate that nested PCR may be considered as gold standard for the diagnosis of dermatophytosis and can aid the clinician in initiating prompt and appropriate antifungal therapy.</p

Mathematics need and utility : An Analysis

To understand the nature and to live a simple life, man himself has created mathematics. it is constantly developing according to the need. It is still progressing. Mathematics has been created in all aspects of life. Today, humans are completely dependent on mathematics, but mathematics is not dependent on the existence of humans. Knowledge of mathematics is inherent in the living beings, it can be easily understood. Mathematics is only the language of knowledge, understanding the wisdom of living beings

Mathematics need and utility : An Analysis

65-70To understand the nature and to live a simple life, man himself has created mathematics. it is constantly developing according to the need. It is still progressing. Mathematics has been created in all aspects of life. Today, humans are completely dependent on mathematics, but mathematics is not dependent on the existence of humans. Knowledge of mathematics is inherent in the living beings, it can be easily understood. Mathematics is only the language of knowledge, understanding the wisdom of living beings

Parallel Page Rank Algorithms: A Survey

The PageRank method is an important and basic component in effective web search to compute the rank score of each page. The exponential growth of the Internet makes a crucial challenges for search engines to provide up-to-date and relevant user?s query search results within time period. The PageRank method computed on huge number of web pages and this is computation intensive task. In this paper, we provide the basic concept of PageRank method and discuss some Parallel PageRank methods. We also compare some Parallel algorithmic concepts like load balance, distributed vs. shared memory and data layout on these algorithms

Clinical profile and factors associated with microalbuminuria in type 1 diabetes mellitus in children and adolescents

Background: The aim of this study was to determine the pattern of clinical presentation and factor associated with microalbuminuria.Methods: Urinary albumin excretion of children and adolescents diagnosed with type 1 diabetes mellitus attending diabetic clinic of Katihar medical college hospital over a period of one year. Collected blood and urine samples were analysed for glycated haemoglobin, cholesterol, triglycerides, and for 12 hour urinary albumin concentration. Blood pressures were recorded and clinical data collected.Results: During the study period 215 patients were diagnosed with type1 DM. Out of 215, fourty-three patients (20%) had persistent microalbuminuria. Factor associated with microalbuminuria in diabetic patients include duration of diabetes mellitus, higher blood pressure, higher cholesterol and triglyceride levels.Conclusion: Type 1 DM is treatable and testing is acceptable and accessible to the patients. As microalbuminuria is an early microvascular complications, it is highly recommended to screen all diabetic patients for the incidence of microalbuminuria and modifiable risk factors like dyslipidemia at the onset and then yearly assessment. Efforts need to be intensified in education of health workers and population at large for quick presentation and prompt diagnosis in order to predict overt diabetic nephropathy and also to prevent its progression.

Uncertainty-Aware Deep Neural Representations for Visual Analysis of Vector Field Data

The widespread use of Deep Neural Networks (DNNs) has recently resulted in their application to challenging scientific visualization tasks. While advanced DNNs demonstrate impressive generalization abilities, understanding factors like prediction quality, confidence, robustness, and uncertainty is crucial. These insights aid application scientists in making informed decisions. However, DNNs lack inherent mechanisms to measure prediction uncertainty, prompting the creation of distinct frameworks for constructing robust uncertainty-aware models tailored to various visualization tasks. In this work, we develop uncertainty-aware implicit neural representations to model steady-state vector fields effectively. We comprehensively evaluate the efficacy of two principled deep uncertainty estimation techniques: (1) Deep Ensemble and (2) Monte Carlo Dropout, aimed at enabling uncertainty-informed visual analysis of features within steady vector field data. Our detailed exploration using several vector data sets indicate that uncertainty-aware models generate informative visualization results of vector field features. Furthermore, incorporating prediction uncertainty improves the resilience and interpretability of our DNN model, rendering it applicable for the analysis of non-trivial vector field data sets.Accepted for publication at IEEE Visualization 202

Changes in morphology of white blood cells on peripheral smear in COVID-19 infection

Background: COVID-19 is an infectious disease caused by a newly discovered coronavirus, and has spread around the world in a deadly pandemic. The first case of COVID-19 was reported from Wuhan, China in December 2019. This is also called as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) because of its homology with SARS virus. The most common hematological manifestation of coronavirus is lymphopenia which is due to depletion of lymphocytes by coronavirus infection. Other manifestations are neutrophilia and mild thrombocytopenia. Literature is full of quantitative hematological parameters but the researches on morphology of white blood cells is still ongoing. We at our institute done study on 60 confirmed positive cases of COVID-19, and analyzed those peripheral smears in terms of morphology of white blood cells.Methods: The study was done using peripheral smear staining with methylene blue stain and was screened for various changes in white blood cells in peripheral smear.Results: Changes in the white blood cells were examined in the peripheral smear and findings were made in the tabular form.Conclusions: To conclude that all these changes are due to the virus infecting them or are secondary to pathogenesis of COVID disease, needs to be evaluated by larger studies