scholarly journals COVID-19 prevention and management: Potential applications of humic substances

2021 ◽  
Vol 2 (2) ◽  
pp. 61
Author(s):  
Diksha Koul ◽  
Jasmine K. Khosla ◽  
Ravi S. Manhas ◽  
Devtulya Chander ◽  
Asha Chaubey
Keyword(s):  
Humic Substances ◽  
Specific Treatment ◽  
Vital Role ◽  
Traditional System ◽  
Potential Applications ◽  
Current Scenario ◽  
Antiviral Activities ◽  
And Control ◽  
Survival Of The Fittest ◽  
Better Than

Background: COVID-19 pandemic has forced the human population to rethink over the lifestyle and food habits being followed by them. During the current scenario, when cases of more virulent new strain are emerging and specific treatment are still underway, we must look back to the Darvin’s theory of “Survival of the fittest” and in order to sustain the pandemic, we must follow the rule “Prevention is better than cure”. Traditional Medicinal System can bring possible solution including prevention and control of COVID-19. Humic substances have been used for antiviral activities, signifying that it has potential applications in the management and prevention of infectious diseases. Summary: Present article is focused on the assessment of the naturally occurring humic substances, which are major constituents of Shilajit, being used in traditional system of medicine and can be used against for the prevention of COVID-19. Key message: Humic substances not only improve the immune system, but also have anti-inflammatory, antioxidant and antiviral activities against human RNA viruses. Therefore, while the entire world is preparing to deal with alarming threat of community spread of COVID-19, Humic substances may play a vital role in improving the innate immunity for prevention and management of SARS-CoV-2 infection

scholarly journals Vitamin D and COVID-19

2020 ◽  
Vol 8 (6) ◽  
pp. 2346
Author(s):  
Rashmi Aggarwal ◽  
Hemant Aggarwal ◽  
Rhea Aggarwal
Keyword(s):  
Vitamin D ◽  
Specific Treatment ◽  
Vitamin D Supplementation ◽  
Cytokine Storm ◽  
Risk Of Death ◽  
Corona Virus ◽  
Current Scenario ◽  
25 Oh Vitamin D ◽  
Tract Infections ◽  
And Control

The ongoing COVID -19 pandemic is caused by severe acute respiratory syndrome corona virus -2 (SARS-CoV-2). Since its emergence in Wuhan in Hubei province of China in December 2019, the virus has spread to every continent except Antartica. Currently, there is no registered treatment or vaccine for the disease. In the current scenario of the deadly virus spreading across continents and the absence of a specific treatment of novel corona virus, there is an urgent need to search for alternative strategies to prevent and control the rapid replication of virus. Vitamin D supplementation may reduce the incidence, severity and risk of death from pneumonia (consequent to the cytokine storm) in the current COVID pandemic. Through its effect on innate and adaptive immunity, vitamin D can reduce the risk of viral respiratory tract infections. 1, 25(OH) vitamin D directly stimulates the production of anti-microbial peptides like defensin and Cathelicidin that can reduce the rate of viral replication. In addition, it can also reduce the concentration of pro-inflammatory cytokines that are responsible for causing cytokine storm and resultant fatal pneumonia. In order to reduce the risk of infection especially in developing country like India, it is recommended that people at risk of COVDI19 may be considered for vitamin D supplementation.

Energy Efficiency Analysis in ERA using NFL-BA Algorithm

2020 ◽  
pp. 340-348
Author(s):  
Palky Mehta ◽  
H. L. Sharma
Keyword(s):  
Cluster Head ◽  
Vital Role ◽  
Wireless Sensor ◽  
Energy Usage ◽  
Cluster Heads ◽  
Comparison Results ◽  
Current Scenario ◽  
Energy Efficiency Analysis ◽  
Selection Of

In the current scenario of Wireless Sensor Network (WSN), power consumption is the major issue associated with nodes in WSN. LEACH technique plays a vital role of clustering in WSN and reduces the energy usage effectively. But LEACH has its own limitation in order to search cluster head nodes which are randomly distributed over the network. In this paper, ERA-NFL- BA algorithm is being proposed for selects the cluster heads in WSN. This algorithm help in selection of cluster heads can freely transform from global search to local search. At the end, a comparison has been done with earlier researcher using protocol ERA-NFL, which clearly shown that proposed Algorithm is best suited and from comparison results that ERA-NFL-BA has given better performance.

The Plausible role of Indian Traditional Medicine in combating Corona Virus (SARS-CoV 2): a mini-review

2020 ◽  
Vol 21 ◽  
Author(s):  
Adithya J ◽  
Bhagyalakshmi Nair ◽  
Aishwarya S ◽  
Lekshmi R. Nath
Keyword(s):  
Specific Treatment ◽  
Ocimum Sanctum ◽  
Drug Candidate ◽  
Asparagus Racemosus ◽  
Traditional System ◽  
Traditional Medicines ◽  
Contagious Nature ◽  
Community Transmission ◽  
Novel Virus

: SARS-CoV 2 is a novel virus strain of Coronavirus, reported in China in late December 2019. Its highly contagious nature in humans has prompted WHO to designate the ongoing pandemic as a Public Health Emergency of International Concern. At this moment, there is no specific treatment and the therapeutic strategies to deal with the infection are only supportive, and prevention aimed at reducing community transmission. A permanent solution for the pandemic, which has brought the world economy to the edge of collapse, is the need of the hour. This situation has brought intense research in traditional systems of medicine. Indian Traditional System, Ayurveda has a clear concept of the cause and treatment of pandemics. Through this review, information on the potential antiviral traditional medicines along with their immunomodulatory pathways is discussed. We have covered the seven most important Indian traditional plants with antiviral properties :Withaniasomnifera (L.) Dunal(family: Solanaceae),Tinosporacordifolia(Thunb.)Miers (family:Menispermaceae),Phyllanthusemblica L.(family:Euphorbiaceae),Asparagus racemosus L.(family:Liliaceae), Glycyrrhizaglabra L.(family:Fabaceae), Ocimum sanctum L.(family:Lamiaceae) and Azadirachta indica A.Juss(family:Meliaceae)in this review. An attempt is also made to bring into limelight the importance of dietary polyphenol, Quercetin which is a potential drug candidate in the making against the SARS-CoV2 virus.

Carbohydrate-Binding Agents: Potential of Repurposing for COVID-19 Therapy

2020 ◽  
Vol 21 (11) ◽  
pp. 1085-1096 ◽  
Author(s):  
Rajesh Kumar Gupta ◽  
Girish R. Apte ◽  
Kiran Bharat Lokhande ◽  
Satyendra Mishra ◽  
Jayanta K. Pal
Keyword(s):  
Vaccine Development ◽  
Host Cells ◽  
Carbohydrate Binding ◽  
Atypical Pneumonia ◽  
The Novel ◽  
High Infection ◽  
Binding Agents ◽  
Current Scenario ◽  
Antiviral Activities ◽  
Novel Drug

: With the emergence of the novel severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), the whole world is suffering from atypical pneumonia, which resulted in more than 559,047 deaths worldwide. In this time of crisis and urgency, the only hope comes from new candidate vaccines and potential antivirals. However, formulating new vaccines and synthesizing new antivirals are a laborious task. Therefore, considering the high infection rate and mortality due to COVID-19, utilization of previous information, and repurposing of existing drugs against valid viral targets have emerged as a novel drug discovery approach in this challenging time. The transmembrane spike (S) glycoprotein of coronaviruses (CoVs), which facilitates the virus’s entry into the host cells, exists in a homotrimeric form and is covered with N-linked glycans. S glycoprotein is known as the main target of antibodies having neutralizing potency and is also considered as an attractive target for therapeutic or vaccine development. Similarly, targeting of N-linked glycans of S glycoprotein envelope of CoV via carbohydrate-binding agents (CBAs) could serve as an attractive therapeutic approach for developing novel antivirals. CBAs from natural sources like lectins from plants, marine algae and prokaryotes and lectin mimics like Pradimicin-A (PRM-A) have shown antiviral activities against CoV and other enveloped viruses. However, the potential use of CBAs specifically lectins was limited due to unfavorable responses like immunogenicity, mitogenicity, hemagglutination, inflammatory activity, cellular toxicity, etc. Here, we reviewed the current scenario of CBAs as antivirals against CoVs, presented strategies to improve the efficacy of CBAs against CoVs; and studied the molecular interactions between CBAs (lectins and PRM-A) with Man9 by molecular docking for potential repurposing against CoVs in general, and SARSCoV- 2, in particular.

Short Review and opinion: New matter properties and applications based on Hybrids Graphene based Metamaterials

2020 ◽  
Vol 04 ◽  
Author(s):  
A. Guillermo Bracamonte
Keyword(s):  
Short Review ◽  
New Materials ◽  
Design And Synthesis ◽  
Chemical Structures ◽  
Current State ◽  
Potential Applications ◽  
Fundamental Research ◽  
Miniaturized Instrumentation ◽  
And Control ◽  
Conductive Properties

: Graphene as Organic material showed special attention due to their electronic and conductive properties. Moreover, its highly conjugated chemical structures and relative easy modification permitted varied design and control of targeted properties and applications. In addition, this Nanomaterial accompanied with pseudo Electromagnetic fields permitted photonics, electronics and Quantum interactions with their surrounding that generated new materials properties. In this context, this short Review, intends to discuss many of these studies related with new materials based on graphene for light and electronic interactions, conductions, and new modes of non-classical light generation. It should be highlighted that these new materials and metamaterials are currently in progress. For this reason it was showed and discussed some representative examples from Fundamental Research with Potential Applications as well as for their incorporations to real Advanced devices and miniaturized instrumentation. In this way, it was proposed this Special issue entitled “Design and synthesis of Hybrids Graphene based Metamaterials”, in order to open and share the knowledge of the Current State of the Art in this Multidisciplinary field.

scholarly journals A Novel LSTM Model with Interaction Dual Attention for Radar Echo Extrapolation

2021 ◽  
Vol 13 (2) ◽  
pp. 164
Author(s):  
Chuyao Luo ◽  
Xutao Li ◽  
Yongliang Wen ◽  
Yunming Ye ◽  
Xiaofeng Zhang
Keyword(s):  
Short Term Memory ◽  
Weather Forecast ◽  
Vital Role ◽  
Data Sets ◽  
Short Term ◽  
Learning Techniques ◽  
Radar Echo ◽  
Hidden States ◽  
Better Than

The task of precipitation nowcasting is significant in the operational weather forecast. The radar echo map extrapolation plays a vital role in this task. Recently, deep learning techniques such as Convolutional Recurrent Neural Network (ConvRNN) models have been designed to solve the task. These models, albeit performing much better than conventional optical flow based approaches, suffer from a common problem of underestimating the high echo value parts. The drawback is fatal to precipitation nowcasting, as the parts often lead to heavy rains that may cause natural disasters. In this paper, we propose a novel interaction dual attention long short-term memory (IDA-LSTM) model to address the drawback. In the method, an interaction framework is developed for the ConvRNN unit to fully exploit the short-term context information by constructing a serial of coupled convolutions on the input and hidden states. Moreover, a dual attention mechanism on channels and positions is developed to recall the forgotten information in the long term. Comprehensive experiments have been conducted on CIKM AnalytiCup 2017 data sets, and the results show the effectiveness of the IDA-LSTM in addressing the underestimation drawback. The extrapolation performance of IDA-LSTM is superior to that of the state-of-the-art methods.

scholarly journals Foaming of rhamnolipids fermentation: impact factors and fermentation strategies

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Zhijin Gong ◽  
Ge Yang ◽  
Chengchuan Che ◽  
Jinfeng Liu ◽  
Meiru Si ◽  
...  
Keyword(s):  
Production Process ◽  
Large Scale ◽  
Commercial Production ◽  
Impact Factors ◽  
Scale Production ◽  
Large Scale Production ◽  
Foaming Behavior ◽  
Production Strategies ◽  
Potential Applications ◽  
And Control

AbstractRhamnolipids have recently attracted considerable attentions because of their excellent biosurfactant performance and potential applications in agriculture, environment, biomedicine, etc., but severe foaming causes the high cost of production, restraining their commercial production and applications. To reduce or eliminate the foaming, numerous explorations have been focused on foaming factors and fermentation strategies, but a systematic summary and discussion are still lacking. Additionally, although these studies have not broken through the bottleneck of foaming, they are conducive to understanding the foaming mechanism and developing more effective rhamnolipids production strategies. Therefore, this review focuses on the effects of fermentation components and control conditions on foaming behavior and fermentation strategies responded to the severe foaming in rhamnolipids fermentation and systematically summarizes 6 impact factors and 9 fermentation strategies. Furthermore, the potentialities of 9 fermentation strategies for large-scale production are discussed and some further strategies are suggested. We hope this review can further facilitate the understanding of foaming factors and fermentation strategies as well as conducive to developing the more effective large-scale production strategies to accelerate the commercial production process of rhamnolipids.

scholarly journals New Cancer Stochastic Models Involving Both Hereditary and Nonhereditary Cancer Cases: A New Approach

2013 ◽  
Vol 2013 ◽  
pp. 1-19
Author(s):  
Wai-Yuan Tan ◽  
Hong Zhou
Keyword(s):  
Cancer Incidence ◽  
Stochastic Models ◽  
Biological Information ◽  
Cancer Genes ◽  
New Approach ◽  
Human Cancers ◽  
Seer Data ◽  
Sampling Procedures ◽  
And Control ◽  
Better Than

To incorporate biologically observed epidemics into multistage models of carcinogenesis, in this paper we have developed new stochastic models for human cancers. We have further incorporated genetic segregation of cancer genes into these models to derive generalized mixture models for cancer incidence. Based on these models we have developed a generalized Bayesian approach to estimate the parameters and to predict cancer incidence via Gibbs sampling procedures. We have applied these models to fit and analyze the SEER data of human eye cancers from NCI/NIH. Our results indicate that the models not only provide a logical avenue to incorporate biological information but also fit the data much better than other models. These models would not only provide more insights into human cancers but also would provide useful guidance for its prevention and control and for prediction of future cancer cases.

scholarly journals THE EFFECTIVENESS OF REALISTIC MATHEMATICS EDUCATION TO IMPROVE STUDENTS’ MULTI-REPRESENTATION ABILITY

2019 ◽  
Vol 8 (1) ◽  
pp. 21 ◽  
Author(s):  
Muhtarom Muhtarom ◽  
Nizaruddin Nizaruddin ◽  
Farida Nursyahidah ◽  
Nurina Happy
Keyword(s):  
Mathematics Education ◽  
Experimental Design ◽  
Learning Process ◽  
Realistic Mathematics Education ◽  
Student Responses ◽  
Realistic Mathematics ◽  
Quasi Experimental ◽  
And Control ◽  
Essay Test ◽  
Better Than

This research aimed to evaluate the effectiveness of Realistic Mathematics Education (RME) to improve students' multi-representation ability. A quasi-experimental design was used in this research. Sixty-four samples from the seventh-grade students of Junior School were randomly selected and divided into two classes: experimental class was treated using RME and control class was treated using conventional learning, with each class consisting of thirty-two students. The essay test was used to measure the multi-representation ability of students and the questionnaire was used to measure students' responses in RME learning. The data from the essay test were analyzed by N-Gain test and t-test in which normality and homogenity test were conducted previously, while the students' learning completeness and student responses were presented descriptive quantitative. The result of the research concluded that the multi-representation ability of students who get RME learning is better than the multi-representation ability in students who get conventional learning. 87.25% of students who get RME learning with the developed device have completed the KKM, and many students are very enthusiastic and interested in RME based learning, thus increasing their learning spirit in a learning process.

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