Annotations of Connectives and Arguments in Malayalam Language

AbstractDiscourse relations in natural languages link clauses in text and compose overall text structure. Discourse connectives are an important part of modeling the Malayalam discourse structure. We followed the annotation procedure of Penn Discourse Tree Bank and worked on tagging of discourse connectives and arguments of Malayalam text and also report the senses of relation. We present our work on annotations of Malayalam discourse connectives and arguments which helps to know more about the discourse connectives and their appearance in case of semantic rules in Malayalam discourse. Discourse connectives may or may not be explicitly present in the relation. In our work, we focus on the annotation of both explicit and implicit connectives and arguments in Malayalam text and showed encouraging results

ROI based Hybrid Compression for DICOM Images

717-719Numerous types of images have spatial districts which are of higher priority than different areas. Image compression methods locate an incredible job in the field of clinical image handling. Change based image compression calculation execution is basically relying upon the encoding strategies, received. For clinical images, just a little segment of the image is analytically significant; however the danger of an off-base translation is high. Henceforth, Region of Interest (ROI) based method is huge for clinical image compression and transmission. In this paper, we propose lossless ROI for Digital Imaging and Communications in Medicine (DICOM) images. The primary motivation behind this work is to dismiss the uproarious back-ground, also, reproduce the picture divides lossless

Characterization of Alzheimer MRI Image based on Image Compression Techniques

The motive of this work is to develop an Algorithm for compression with high compression and good value of PSNR. The target presently changed by including appropriate transform and encoding strategies to accomplish the task. The ideal of image compression is chosen depending on a trade off among PSNR and CR. The goal is additionally discovering an ideal algorithm for medical image compression. The MR imaging are used in this work. To guarantee the nature of the planned methods, the component extraction strategies, which are the pre-solicitation of the grouping calculations, have been discovered and the outcomes uncover that the use of image doesn't modify the portrayal conduct of the medical images

Characterization of Alzheimer MRI Image based on Image Compression Techniques

1028-1030The motive of this work is to develop an Algorithm for compression with high compression and good value of PSNR. The target presently changed by including appropriate transform and encoding strategies to accomplish the task. The ideal of image compression is chosen depending on a trade off among PSNR and CR. The goal is additionally discovering an ideal algorithm for medical image compression. The MR imaging are used in this work. To guarantee the nature of the planned methods, the component extraction strategies, which are the pre-solicitation of the grouping calculations, have been discovered and the outcomes uncover that the use of image doesn't modify the portrayal conduct of the medical images

IoT and Big Data Integration for Real-Time Agricultural Monitoring

The integration of Internet of Things (IoT) and Big Data technologies has emerged as a transformative force in modern agriculture. This review paper provides a comprehensive examination of the implications and applications of this integration for real-time agricultural monitoring. The paper begins by emphasizing the critical role of agriculture in global food security and economic stability, underscoring the need for innovative solutions to address the challenges facing the sector. The review delves into the key components of the integration, starting with a detailed exploration of the diverse range of IoT devices and sensors instrumental in gathering real-time data. It further emphasizes the importance of robust data handling and transmission mechanisms to facilitate timely decision-making. The significance of data fusion and aggregation processes in distilling meaningful insights from the voluminous data generated is thoroughly examined, along with the pivotal role of data analytics in driving data-driven decision-making and optimizing agricultural operations. Acknowledging the challenges associated with the integration, the review highlights the critical need for scalable systems to accommodate the evolving needs of farms. Additionally, it emphasizes the importance of prudent cost assessment for a sustainable and economically viable implementation. This review paper provides a comprehensive overview of the integration of IoT and Big Data in agricultural monitoring. By synthesizing these technologies, farmers are poised to embark on a new era of data-driven agriculture, marked by increased efficiency, resource optimization, and ultimately, enhanced global food security

Research Journal of Pharmaceutical, Biological and Chemical Sciences Anomaly in the Levels of Protein and DNA of the Lymphoid Organs of Two Weeks Old Broilers Intubated with AFB1 Suspension

ABSTRACT Poultry industry has the largest economic scenario in India providing vital food products engrossed with high levels of proteins, low fat and all essential amino acids. This sector is threatened with mycotoxic upheaval particularly Aflotoxin B1 which brings about heavy mortality to edible fowls. AFB1 causes immunosupression in animals effecting the cell mediated immunity causing reduced thymus and spleen which are the primary and secondary lymphoid organs respectively. Aflotoxins are responsible for carcinogenic, mutagenic and terrotogenic effects in edible fowls. The present study is focused on the study of biochemical aspects like proteins and DNA in bursa fabricus and cecal tonsils of Plymouthrock broilers orally intubated with AFB1. The organs are taken and the respective tissues are well homogenized, and analyzed for the evaluation for the levels of proteins and DNA for marking the changes in the molecular level and to interpret them in physiological and immunological dimensions

Secondary volatiles and metabolites from Nigella sativa L. seed

Despite Indian nigella being widely used in various herbal preparation across the world, the composition of volatile fraction and seed metabolite content has been poorly investigated. The nigella crop was raised in Coastal Humid Tropics of Andhra Pradesh and the seed collected was used for chemoprofiling. The extraction was done with MTBE solvent for 2 h to extract volatile fraction and 24 h for extracting entire seed metabolite content. The volatile fraction contained 28 different compounds where as the entire seed metabolite content composed of as many as 150 compounds. The thymoquinone content, which is the most important bioactive compound, was 28.70 %, followed by p-cymene which contained 27.8 % in the volatile fraction. The seed metabolites of nigella seed contained fatty acids, volatiles, and other metabolites. The GC-MS profile of fatty acids and related compounds in the seed metabolites contained five fatty acids (Linoleic acid, palmitic acid, cis-13,16-docosadienoic acid, stearic acid, and myristic acid) and one methyl ester of oleic acid (Methyl oleate). A total of 91.39 % in the total seed metabolite content were fatty acid and related compounds. The volatile fraction was only 5.94 %, remaining were other metabolites (2.67 %). Among these, thymoquinone and p-cymene were the most important compounds (≥ 1 %). The seed of nigella is a storehouse of diverse compounds. Research on chemical nature and bio-potent action of seed metabolites other than secondary volatile metabolites is vastly unexplored and needs immense attention

Secondary volatiles and metabolites from <i>Nigella sativa</i> L. seed

151-158Despite Indian nigella being widely used in various herbal preparation across the world, the composition of volatile fraction and seed metabolite content has been poorly investigated. The nigella crop was raised in Coastal Humid Tropics of Andhra Pradesh and the seed collected was used for chemoprofiling. The extraction was done with MTBE solvent for 2 h to extract volatile fraction and 24 h for extracting entire seed metabolite content. The volatile fraction contained 28 different compounds where as the entire seed metabolite content composed of as many as 150 compounds. The thymoquinone content, which is the most important bioactive compound, was 28.70 %, followed by p-cymene which contained 27.8 % in the volatile fraction. The seed metabolites of nigella seed contained fatty acids, volatiles, and other metabolites. The GC-MS profile of fatty acids and related compounds in the seed metabolites contained five fatty acids (Linoleic acid, palmitic acid, cis-13,16-docosadienoic acid, stearic acid, and myristic acid) and one methyl ester of oleic acid (Methyl oleate). A total of 91.39 % in the total seed metabolite content were fatty acid and related compounds. The volatile fraction was only 5.94 %, remaining were other metabolites (2.67 %). Among these, thymoquinone and p-cymene were the most important compounds (≥ 1 %). The seed of nigella is a storehouse of diverse compounds. Research on chemical nature and bio-potent action of seed metabolites other than secondary volatile metabolites is vastly unexplored and needs immense attention