995 research outputs found
Energy-Momentum Problem of Bell-Szekeres Metric in General Relativity and Teleparallel Gravity
This paper is devoted to the investigation of the energy-momentum problem in
two theories, i.e., General Relativity and teleparallel gravity. We use
Einstein, Landau-Lifshitz, Bergmann-Thomson and M\"{o}ller's prescriptions to
evaluate energy-momentum distribution of Bell-Szekeres metric in both the
theories. It is shown that these prescriptions give the same energy-momentum
density components in both General Relativity and teleparallel theory.
M\"{o}ller's prescription yields constant energy in both the theories.Comment: 21 pages, accepted for publication in Braz. J. Phy
Comparison in Various Bioactive Compounds of Leaves and Seeds of Foeniculum Vulgare Mill.
Medicinal plants a gift of nature are being used against various infections and diseases in the subcontinent since past history. Herbs were use as food ( vegetables ) and flavors for hundred of years in many parts of world. Whereas number of herbs have also been traditionally regarded as natural remedies for common ailments of human population. Furthermore some herbal plants are considered as house of medicines and played an important role in nearly every culture on earth, including Asia, Africa, Europe and the Americas. A study was conducted to analyze the Leaves and seeds of Foeniculum vulgare for different bioactive compounds those includes saponins , total proteins, amino acids, fat and flavonoids with one and two dimensional thin layer and column chromatography followed by spectrophotometric analysis. Results indicates that leaves contained higher concentration of flavonoids and fat. Where as level of Saponins, proteins, amino acids, total minerals and other organic compounds was high in seeds. The analysis of leave and seeds of Foeniculum vulgare for these valuable organic compounds will provide important raw materials that can be used for preparation of medicines in Pharmaceuticals companies. Furthermore interest of people in plant made medicines are increasing due to their concern about the side effects of powerful synthetic drugs and high prices of these medicines. It is expected that raw material obtained from plants will not only reduce the prices of medicines in the pharmaceutical market but also provide rapid and reliable system of treatment of various infection and disease of human populatio
Investigation for Bioactive Compounds of Berberis Lyceum Royle and Justicia Adhatoda L.
In order to explore the medicinal values of plant species like Berberis lyceum and Justicia adhatoda, a study was conducted to analyze roots, leaves and fruits of both plant species for identification of various organic compounds. Chemical analysis as well as identification of organic compounds by chromatographic techniques were carried out. Results indicates that both plant species contained Proteins, Sugars, Lipids, Vitamin C, Sodium, Calcium, Sulphur, Iron, and Zinc.Whereas the alkaloids like Palmatine, Berberine, Vasicine and Vasicinone were also found in leaves and roots of these plant species. However, it was observed that roots of both plant species contained higher concentrations of these chemical compounds as compared to fruits and leaves except sugar and vitamin C those were high in fruits. Furthermore presence of such bioactive compounds in Berberis lyceum and Justicia adhatoda indicated their importance in the form of local medicines. This experiment will help to increase the importance of new raw material found in these plant species and their demand in the market will be increased in the future. The extract of roots and fruits of these plant species are being used against various infections and diseases in rural population of subcontinent since many centuries
Balancing Privacy and Progress in Artificial Intelligence: Anonymization in Histopathology for Biomedical Research and Education
The advancement of biomedical research heavily relies on access to large
amounts of medical data. In the case of histopathology, Whole Slide Images
(WSI) and clinicopathological information are valuable for developing
Artificial Intelligence (AI) algorithms for Digital Pathology (DP).
Transferring medical data "as open as possible" enhances the usability of the
data for secondary purposes but poses a risk to patient privacy. At the same
time, existing regulations push towards keeping medical data "as closed as
necessary" to avoid re-identification risks. Generally, these legal regulations
require the removal of sensitive data but do not consider the possibility of
data linkage attacks due to modern image-matching algorithms. In addition, the
lack of standardization in DP makes it harder to establish a single solution
for all formats of WSIs. These challenges raise problems for bio-informatics
researchers in balancing privacy and progress while developing AI algorithms.
This paper explores the legal regulations and terminologies for medical
data-sharing. We review existing approaches and highlight challenges from the
histopathological perspective. We also present a data-sharing guideline for
histological data to foster multidisciplinary research and education.Comment: Accepted to FAIEMA 202
Review on Recent Advances in the Removal of Organic Drugs by Advanced Oxidation Processes
In recent years, due to the high consumption of drugs both for human needs and for their growing use, especially as regards antibiotics, in the diet of livestock, water pollution has reached very high levels and attracted widespread attention. Drugs have a stable chemical structure and are recalcitrant to many treatments, especially biological ones. Among the methods that have shown high efficiency are advanced oxidation processes (AOPs) which are, among other things, inexpensive and eco-friendly. AOPs are based on the production of reactive oxygen species (ROS) able to degrade organic pollutants in wastewater. The main problem related to the degradation of drugs is their partial oxidation to compounds that are often more harmful than their precursors. In this review, which is not intended to be exhaustive, we provide an overview of recent advances in the removal of organic drugs via advanced oxidation processes (AOPs). The salient points of each process, highlighting advantages and disadvantages, have been summarized. In particular, the use of AOPs such as UV, ozone, Fenton-based AOPs and heterogeneous photocatalysis in the removal of some of the most common drugs (tetracycline, ibuprofen, oxytetracycline, lincomycin) has been reported
Green and facile synthesis of cerium doped Ni3Fe electrocatalyst for efficient oxygen evolution reaction
Electrochemical water splitting is the most promising pathway to produce high-purity hydrogen to alleviate global energy crisis. This reaction demands inexpensive, efficient and robust electrocatalyst for its commercial use. Herein, we demonstrate an effective, facile and scalable method for the synthesis of cerium doped Ni3Fe nanostructures as an electrocatalyst for oxygen evolution reaction (OER) by following simple chemical bath deposition route. The different molar ratios (3, 6 and 12 mM) of cerium in the chemical bath were used to study its effect on the structural and the electrochemical properties of the Ni3Fe nanostructured films. Doping of cerium contents induced variations in the morphology of deposited Ni3Fe nanostructures. The optimized electrocatalyst Ni3Fe/Ce-6 yielded high surface area catalyst nanosheets uniformly deposited on three-dimensional conductive scaffold to ensure increase in the exposure of doped Ni3Fe catalytic sites with high electrical conductivity. As a result, this earth-abundant electrocatalyst affords high OER performance with a small overpotential of 310 mV versus reversible hydrogen electrode (RHE) at 10 mA cm-2 and retains good stability up to ~ 10 h in alkaline electrolyte. This scalable strategy has great potential in future advancement of efficient and low-cost electrocatalysts for their large-scale application in energy conversion systems.
KEY WORDS: Oxygen evolution, Electrocatalyst, Ni3Fe nanostructures, Cerium, Alkaline electrolyte
Bull. Chem. Soc. Ethiop. 2020, 34(2), 353-363
DOI: https://dx.doi.org/10.4314/bcse.v34i2.1
Geometry of Information Integration
Information geometry is used to quantify the amount of information
integration within multiple terminals of a causal dynamical system. Integrated
information quantifies how much information is lost when a system is split into
parts and information transmission between the parts is removed. Multiple
measures have been proposed as a measure of integrated information. Here, we
analyze four of the previously proposed measures and elucidate their relations
from a viewpoint of information geometry. Two of them use dually flat manifolds
and the other two use curved manifolds to define a split model. We show that
there are hierarchical structures among the measures. We provide explicit
expressions of these measures
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