Miracle-dz/UniFAR-FTUs huggingface dataset:
Association of level serum 25-hydroxy vitamin D in benign and malignant breast disease in a tertiary care center in North India

Breast cancer is the most common cancer in women worldwide as well as in India. In Indian females with an age-adjusted rate as high as 25.8 per 100,000 women and mortality 12.7 per 100,000 women. In India during periods 2020 suggests the number of breast cancer patients to go as high as 1,797,900. Proper health awareness and breast cancer screening programs availability and treatment facilities would result in a positive clinical picture in the country. Factors associated with breast cancer are genetic mutation, breast density, age, and nutritional risk factors, family history, reproductive factors, etc. In India, vitamin D deficiency ranges between 70% and 100%. This review aimed to present the association of vitamin D deficiency with Breast cancer. Given the high prevalence of vitamin D deficiency and a higher incidence of breast cancer in India, interventional possibilities to increase vitamin D status should be done. In India, the majority of the population is vegetarian and the food items rich in vitamin D are of animal origin. Milk a common source of vitamin D for vegetarians and content of vitamin D in unfortified milk is significantly low (2 IU/100 ml). A recent research study revealed that more than 90% of women with Breast cancer were suffering from vitamin D deficiency. The higher risk of ABSTRACT
Segmentation of Brain Tissues from MRI using Bilateral Filter Based Fuzzy C-Means Clustering

This paper represents a segmentation method that incorporates both local spatial information and intensity information in an efficient fuzzy way. The newly introduced segmentation method BWFCM is an abbreviation of Bilateral weighted fuzzy C-Means. BWFCM uses the advantage of the bilateral filter in its objective function as a bilateral kernel that replaced the spatial neighborhood term with Gaussian weighted Euclidean distance mean of the intensity value of neighbor pixels. BWFCM preserves the damping extent of adjacent pixels while removing the noise because of its averaging behavior. The BWFCM segmentation method is perceived to be very focused on several state-of-the-art methods on a range of images.Experiment analysis on simulated and real MR images show that the proposed method BWFCM provides superior performance over the conventional FCM method and several FCM based methods. The proposed method BWFCM has weakened the impact of Rician noise and other artifact and gives more accurate and efficient segmentation results.
Development of the C4 Photosynthetic Apparatus in Cotyledons and Leaves of Salsola richteri (Chenopodiaceae)

Development of characteristics of the C4 syndrome was studied in cotyledons and leaves of NADP‐ME type C4 Salsola richteri, a desert shrub. This species has seeds in which the cotyledons contain chloroplasts, storage proteins, and lipid bodies but no starch. Following imbibition (day 0), tissue types are already apparent in the cotyledons, and the chloroplasts have extensive grana stacking, but Kranz type anatomy and C4 photosynthesis have not developed. At day 0, there is high Rubisco and low phosphoenolpyruvate carboxylase (PEPC) content, distributed throughout all tissue. After 15 d of development in the dark, the cotyledons were in a C3‐like default condition with three distinct layers of chlorenchyma (hypodermis, mesophyll, and bundle sheath [BS]); all contained Rubisco in their chloroplasts. Light was required for development of the C4 syndrome, including differentiation of chloroplasts in mesophyll and BS cells, development of thick BS cell walls, selective compartmentation of Rubisco in BS cells and PEPC in mesophyll cells, and development of intercellular air spaces around hypodermal and mesophyll cells. During cotyledon development in the light, Rubisco content decreased and PEPC content increased, and starch synthesis was associated with tissue‐specific compartmentation of Rubisco. There was also a C3 to C4 transition during leaf development. After 3 d of leaf development in the light, cell division was still occurring, the tissue was not fully differentiated, and there was no cell‐specific compartmentation of Rubisco or PEPC. There was the beginning of tissue and organelle differentiation together with Rubisco and PEPC compartmentation in 5‐d leaves. In mature leaves, Kranz anatomy was fully developed with selective compartmentation of PEPC in mesophyll.
PREVALENCE OF CHRONIC OBSTRUCTIVE PULMONARY DISEASE AMONG PATIENTS SUCCESSFULLY TREATED FOR PULMONARY TUBERCULOSIS

Introduction: Chronic Obstructive Pulmonary Disease is currently the fourth leading cause of death in the world. In 2012, more than 3 million people died of Chronic Obstructive Pulmonary Disease, accounting for 6% of all deaths globally. Several epidemiologic studies have shown that pulmonary tuberculosis is emerging as a potential risk factor in the pathogenesis and severity of Chronic Obstructive Pulmonary Disease. This finding is especially concerning given the high prevalence of pulmonary tuberculosis in low resource countries. Objective: This study was conducted to evaluate the prevalence of Chronic Obstructive Pulmonary Disease in patients successfully treated (cured plus treatment completed) for pulmonary tuberculosis seen at Tikur Anbessa Specialized Hospital, the largest public tertiary hospital in Ethiopia. Methodology: We conducted a cross-sectional study of patients > 15 years of age who were successfully treated for pulmonary tuberculosis and followed in the Chest Unit at Tikur Anbessa Specialized Hospital between August 2016 to September 2017. Patients with signs and symptoms of active pulmonary tuberculosis were excluded. All patients had lung function measured using a Diagnostic EasyOne Plus model 2001 SN spirometer. Spirometric acceptability and reproducibility were determined using the published criteria of the European Respiratory Society/American Thoracic Society. A diagnosis of Chronic Obstructive Pulmonary Disease was based on a postbronchodilator FEV1/FVC<70% as recommended by the Chronic Obstructive Pulmonary Disease guidelines. Results: A total of 99 patients were included in the analysis. Of these 55(55.6%) were male; the mean age of the group was 42.7 years. Forty-one of 99 (41.4%) study participants had post-bronchodilator FEV1/FVC<70%, meeting the study criteria for Chronic Obstructive Pulmonary Disease. This percent was approximately 8 times higher than the 5% previously determined for Chronic Obstructive Pulmonary Disease in the general population for sub Saharan Africa. In addition, a majority of those diagnosed with Chronic Obstructive Pulmonary Disease in our study had moderate to severe Chronic Obstructive Pulmonary Disease stage disease. Conclusions: The prevalence of Chronic Obstructive Pulmonary Disease is high in our Ethiopian patients who were successfully treated for pulmonary tuberculosis , and higher than expected from previously published population based studies. Although selection bias may have contributed to our results, we believe that patients successfully treated for pulmonary tuberculosis are at significant risk for developing Chronic Obstructive Pulmonary Disease, and should be strongly considered for screening and possible treatment.
ApoM in the inhibitory effects of HDL on inflammation. Mice with an apoM gene deficiency (apoM-/-) were employed to investigate the effects of ApoM on the expression of interleukin-1β (IL-1β), monocyte chemotactic protein-1 (MCP-1), S1P receptor-1 (S1PR1) and 3β-hydroxysterol

Apolipoprotein M (ApoM) is a type of apolipoprotein. It is well known that high-density lipoprotein (HDL) decreases inflammatory responses via the apoM-sphingosine-1-phosphate (S1P) pathway. The present study further investigated the importance of ApoM in the inhibitory effects of HDL on inflammation. Mice with an apoM gene deficiency (apoM-/-) were employed to investigate the effects of ApoM on the expression of interleukin-1β (IL-1β), monocyte chemotactic protein-1 (MCP-1), S1P receptor-1 (S1PR1) and 3β-hydroxysterol Δ-24-reductase (DHCR24), as compared with in wild-type mice (apoM+/+). Furthermore, cell culture experiments were performed using a permanent human hybrid endothelial cell line (EA.hy926). Cells were cultured in the presence of recombinant human apoM (rec-apoM) or were induced to overexpress apoM (apoMTg); subsequently, cells were treated with tumor necrosis factor-α (TNF-α), in order to investigate the effects of ApoM on IL-1β and MCP-1. The results demonstrated that the mRNA expression levels of IL-1β and MCP‐1 were significantly higher in the liver following administration of lipopolysaccharide in apoM-/mice compared with in apoM+/+ mice. In cell culture experiments, when cells were pre-cultured with rec-apoM or were engineered to overexpress apoM (apoMTg), they exhibited decreased expression levels of IL-1β and MCP-1 following TNF-α treatment compared with in normal apoM-expressing cells (apoMTgN). Furthermore, the mRNA expression levels of IL-1β and MCP‐1 were significantly elevated following addition of the S1PR1 inhibitor W146, but not by the scavenger receptor class B type I inhibitor, block lipid transport-1 (BLT-1), in apoMTg cells prior to TNF-α treatment. Conversely, there were no differences in these inflammatory biomarkers under the same conditions in apoMTgN cells. The mRNA expression levels of DHCR24 were significantly reduced by the addition of BLT‐1 prior to TNF-α treatment in apoMTg cells; however, there was no difference in the expression of this inflammatory biomarker in apoMTgN cells. In conclusion, ApoM displayed inhibitory effects against the inflammatory response in vivo and in vitro; these effects may be induced via the S1PR1 and DHCR24 pathways.
Physicochemical Properties and Antibacterial Activity of Essential Oil of Ageratum conyzoides L. Leaves

120 Normal 0 21 false false false HR X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Obicna tablica"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:8.0pt; mso-para-margin-left:0cm; line-height:107%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Essential oil (EO) of Ageratum conyzoides L. leaves was analyzed by gas chromatography – mass spectrometry (GC-MS) method. Physicochemical properties (acid value, saponification value, ester value, density and freezing point), antioxidant capacity and antibacterial capacity were determined. In general, 34 compounds were identified in EO of this material. Moreover, EO has the antioxidant capacity, and the antimicrobial activity was determined by the paper disc diffusion method for antibiotic susceptibility testing. Essential oil does not affect the growth of Staphylococcus aureus - ATCC 25923, Bacillus subtilis - ATCC 11774 and Escherichia coli - ATCC 25922. However, the result also shows that EO of A. conyzoides leaves can inhibit the growth of Salmonella enteritidis - ATCC 13076.
Noise-Tolerant Circuits in Deep-Submicron using Delay Pass Transistor Circuit

In this paper, we propose a technique to increase the noise tolerance significantly over that of the existing circuit components and design styles. The paper proposes noise tolerance in the discrete, yet interrelated, areas of computational components design, powerless/groundless design style, dynamic circuit style, and memory design. Our results indicate a huge gain in noise-tolerance over the existing circuits and styles. The circuit components and design styles, developed by the technique, are integrated into architectures to study and demonstrate the combined effects of the techniques. This will be in addition to observing and analyzing the individual noise-tolerances of each components and circuit styles developed. We are proposing the limiter pass transistor technique, which is a new method to immune dynamic circuits from noise. Our proposed technique demonstrates 5.9X times gain in noise tolerance over the convectional dynamic circuit and 3.0 X gains over the best known method in the literature. Based on the preliminary proposed technique, we expect to come with dynamic circuit styles that can provide an order of magnitude more noiseimmunity.
The development of microsatellite loci in the song sparrow, Melospiza melodia (Aves) and genotyping errors associated with good quality DNA

We describe the isolation, development and application of six microsatellite loci in the song sparrow, Melospiza melodia, their amplification in related species and problems encountered in genotyping from high quality DNA. Heterozygosity in an island song sparrow population was high (> 70%) for five out of six loci. Small scale cross-species amplification showed up to three alleles per locus for other Emberizidae. Relatively high levels of allelic dropout were observed with two loci when using standard template DNA. These problems could be partially alleviated by diluting template DNA, and could always be eliminated by repeated genotyping.
Thomas Hobbes and Niccolo Machiavelli: A Comparison

In this paper I will compare the views of realism of Thomas Hobbes and Niccolo Machiavelli. For Brown et al. (2002) “(it) is . Machiavelli, who along with Hobbes, helped to generate the tradition of political realism. ”[1] In order to compare their views effectively I will first look at the different methods, which they employed, after which I will explain how this difference created the divergent view of human nature. It is this view, which underlies their belief of anarchy, a key realist assumption. Due to word constraints I cannot fully explain their varying views in governance; however, I will tackle this aspect from two points of view: morality and self-interest.
Shape correspondence using anisotropic Chebyshev spectral CNNs

Establishing correspondence between shapes is a very important and active research topic in many domains. Due to the powerful ability of deep learning on geometric data, lots of attractive results have been achieved by convolutional neural networks (CNNs). In this paper, we propose a novel architecture for shape correspondence, termed Anisotropic Chebyshev spectral CNNs (ACSCNNs), based on a new extension of the manifold convolution operator. The extended convolution operators aggregate the local features of signals by a set of oriented kernels around each point, which allows to much more comprehensively capture the intrinsic signal information. Rather than using fixed oriented kernels in the spatial domain in previous CNNs, in our framework, the kernels are learned by spectral filtering, based on the eigen-decompositions of multiple Anisotropic Laplace-Beltrami Operators. To reduce the computational complexity, we employ an explicit expansion of the Chebyshev polynomial basis to represent the spectral filters whose expansion coefficients are trainable. Through the benchmark experiments of shape correspondence, our architecture is demonstrated to be efficient and be able to provide better than the state-of-the-art results in several datasets even if using constant functions as inputs.
Taxonomy towards Security using Encryption Algorithms in IOT-Based Healthcare System

As IOT has emerged itself in multiple domains that allow proper communication and connectivity worldwide. Due to that multiple attacks and threats arises, which creates number of solutions towards the same. It also raises some important questions and challenges for the security of systems, devices and networks. Multiple algorithms have been devised earlier for wired, wireless, and M2M communication which are not feasible for IOT devices due to low battery life and short range devices. The author focuses on detail analysis of various algorithms, encryption techniques used for preventing and avoiding security threats in IOT-based healthcare systems.
Extracting Information from Microblogs Posted During Natural Disasters

Social Networking websites plays an important role in our life. The usage of the above websites is in every domain of our lives and they have increasingly infused itself into daily life. In recent years, the social networking websites such as Twitter, Facebook, are used in natural disasters. Many features have been included in Twitter for fast responses in such kind of unexpected events. This paper is based on the experiments performed on the 2017 Microblog Track provided by Forum of Information Retrieval & Evaluation. The Classification schemes are used with two predefined labels as need and availability. The various pre-processing and natural language processing techniques are applied before the training of the model. The experiments showed that the classification accuracy is increased when the term weight is modified by using the information gain method and using the SVM classifier. This system automatically annotated the FIRE-2015 dataset of microblog track with 97% accuracy.
In vitro shoot regeneration of boldo from leaf explants

A shoot regeneration system for Plectranthus neochilus was studied from leaf explants. Leaves developed under in vitro conditions were cultured on Wood Plant Medium supplemented with 0.2mg dm-3 α-naphthaleneacetic acid (NAA) and different 6-benzilaminopurine (BAP) or thidiazuron (TDZ) concentrations (0, 1.5, 3.0, 4.5 and 6.0mg dm-3). An increase in percentage of responsive explants (85.3%) and in the number of shoots developed per explant (3.2) was observed when the explants were treated with 5.3 and 4.7mg dm-3 BAP, respectively. The leaf explants cultured on media supplemented with TDZ became vitreous and did not form buds. The regeneration system used is efficient for boldo bud induction and shoot development, showing high potential for advanced cellular and molecular studies.
March 24, 2014 DISLOCATIONS AT THE CONTINUUM SCALE: FUNCTIONAL SETTING AND VARIATIONAL PROPERTIES RICCARDO SCALA AND NICOLAS VAN GOETHEM

Considering the existence of solutions to a minimum problem for dislocations in finite elasticity [21], in the present paper we analyze the first variation of the energy at the minimum points with respect to Lipschitz variations of the lines. The appropriate functional spaces needed to describe dislocations is the first purpose of this work. The equilibrium of forces at optimality and the explicit expression of these forces is the second aim following from the preceding theoretical developments. By this procedure, one recovers the well-known Peach-Köhler force, and show that it must be balanced by a defect-induced configurational force. In the modeling application, in order to consider complex structures such as dislocation clusters, countable families of dislocations are represented by means of integer-valued 1-currents at the continuum scale in the spirit of [21].
International Journal of Innovative Technology and Exploring Engineering (IJITEE)

1676 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: D1555029420/2020©BEIESP DOI: 10.35940/ijitee.D1555. 029420  Abstract: Recent years have seen the wide use of Time series forecasting (TSF) for predicting the future price stock, modeling and analyzing of finance time series helps in guiding the trades and investors decision. Moreover considering the stock as the dynamic environment, it is pronounced as the non-linearity of time series which affects the stock price forecast immediately. Hence, in this research work we propose intelligent TSF model, which helps in forecasting the early prediction of stock prices. The proposed stock price forecasting model employed both short-term (i.e. recent behavior fluctuation) using log bilinear (LBL) model and long-term (i.e., historical) behavior using recurrent neural network (RNN) based LSTM (long short term memory )model. Subsequently, this model is mainly helpful for the home brokers since they do not possess enough knowledge about the stock market. Proposed RNNLBL hybrid model shows the satisfying forecasting performance, these results in overall profit for the investors and trades. Furthermore, proposed model possesses a promising forecasting in case of the non-linear time series since the pattern of non-linear pattern are highly improbable to capture through these state-of-art stock price forecasting models.
Optical detection of magnetic resonance

Abstract The combination of magnetic resonance with laser spectroscopy provides some interesting options for increasing the sensitivity and information content of magnetic resonance. This review covers the basic physics behind the relevant processes, such as angular momentum conservation during absorption and emission. This can be used to enhance the polarization of the spin system by orders of magnitude compared to thermal polarization as well as for detection with sensitivities down to the level of individual spins. These fundamental principles have been used in many different fields. This review summarizes some of the examples in different physical systems, including atomic and molecular systems, dielectric solids composed of rare earth, and transition metal ions and semiconductors. This review was originally written in response to an invitation of “Progress in NMR Spectroscopy” but re-directed to Magnetic Resonance to be accessible to a wide audience. This paper has been reviewed by peers in accordance with the policy of Magnetic Resonance.
Segmentation of an Indian Classical Dance Videos using Different Segmentation Methods.

Video to frame conversion features are retrieved to categorize the actions in an Indian classical dance video dataset. The goal is to design an automatic machine learning model that identifies the moves of a dancer in a video. A video is a collection of images of specific movements, hence, features representing shapes and color can be used to interpret the dance steps. Image segmentation based features are capable of representing the shape in varying background conditions. Segmentation has become an important objective in image analysis and computer vision. To segment the images, edge detection, thresholding and region of interest are taken for this study. The proposed system performance is analyzed for total number of 50 different movements taken from Indian classicaldances.Bharatanatyam,Kathak,Kuchipudi,Manipuri,Mo hiniytam Odissi,Kathakali and Satrriya in different background conditions
Radiation effects on neurogenic regions in the mammalian forebrain

Radiotherapy is a major treatment modality for intracranial tumors, and while it is effective, it can cause serious normal tissue injury. Such injury can involve tissue destruction but can also manifest as cognitive impairments. The pathogenesis of radiation-induced cognitive injury is not well-understood but may involve forebrain neurogenesis. Neurogenic cells are very sensitive to irradiation and undergo apoptosis after clinically relevant doses. While the overall effect of irradiation on neurogenesis is based partly on the intrinsic radiation sensitivity of neural precursor cells, it also involves changes in the microenvironment in which they exist. This review summarizes what is known about ionizing irradiation and neurogenesis and provides insight into some approaches that may be effective in mitigating this particular adverse effect of radiation treatment.