scholarly journals Identification of a New Species of the Medicinal Leeches in India using DNA Barcoding Technique - a Breakthrough

2021 ◽  
pp. 191-199
Author(s):  
Gaurav Phull ◽  
Mukund Dhule ◽  
Rekha Phull ◽  
Manisha Gupta
Keyword(s):  
Dna Barcoding ◽  
Large Scale ◽  
Research Area ◽  
Research Papers ◽  
Medicinal Value ◽  
Therapeutic Uses ◽  
Important Research Area ◽  
Medicinal Leeches ◽  
First Time ◽  
Species Being

Leech therapy has always been an important treatment modality in Ayurveda. Medicinal leeches are known for their extensive therapeutic uses. Identification of leech species is an important research area to understand the mechanism of therapeutic gains and exploring more probable benefits. Researchers have done a swell job in identifying various species of leeches in different parts of Asia including India. For therapeutic purpose however, the clinicians in India have not bothered much about the exact identification of leech species being used at different centres. There is dearth of research papers in this aspect. Thus a study was planned to identify the species of leeches being used at our centre. Materials and methods: DNA Barcoding technique was used where mitochondrial CO1 gene was amplified using LCO-HCO primers. Results: DNA sequencing of Leech sample closely resembled to Hirudinaria Bpling species, which is a breakthrough in existing knowledge of medicinal leeches in India, as this species was recently reported to be found in Thailand in 2012 for the first time. No previous documentation of its existence is available in our country. Conclusion: Further studies on large scale are required to explore their existence, morphological features and salivary contents in regard to their medicinal value. This will help in exploring any additional benefits to the existing knowledge of therapeutic uses of medicinal leeches. This study will pave the path to new avenues in therapeutic utility of leeches, as the newer species might have additional bioactive chemicals making them useful in wider variety of disorders.

User-Independent Hand Motion Classification With Electromyography

2013 ◽  
Author(s):  
Alison E. Gibson ◽  
Mark R. Ison ◽  
Panagiotis Artemiadis
Keyword(s):  
Real Time ◽  
Large Scale ◽  
High Specificity ◽  
Research Area ◽  
Human Machine Interaction ◽  
Hand Motion ◽  
Intensive Training ◽  
Current State ◽  
Important Research Area ◽  
Leave One Out

Electromyographic (EMG) processing is an important research area with direct applications to prosthetics, exoskeletons and human-machine interaction. Current state of the art decoding methods require intensive training on a single user before it can be utilized, and have been unable to achieve both user-independence and real-time performance. This paper presents a real-time EMG classification method which generalizes across users without requiring an additional training phase. An EMG-embedded sleeve quickly positions and records from EMG surface electrodes on six forearm muscles. An optimized decision tree classifies signals from these sensors into five distinct movements for any given user using EMG energy synergies between muscles. This method was tested on 10 healthy subjects using leave-one-out validation, resulting in an overall accuracy of 79±6.6%, with sensitivity and specificity averaging 66% and 97.6%, respectively, over all classified motions. The high specificity values demonstrate the ability to generalize across users, presenting opportunities for large-scale studies and broader accessibility to EMG-driven applications.

scholarly journals Violence Detection With Two-Stream Neural Network Based on C3D

2021 ◽  
Vol 15 (4) ◽  
pp. 1-17
Author(s):  
zanzan Lu ◽  
Xuewen Xia ◽  
Hongrun Wu ◽  
Chen Yang
Keyword(s):  
Large Scale ◽  
Research Area ◽  
Video Data ◽  
Small Scale ◽  
Stream Network ◽  
Generalization Ability ◽  
Violence Detection ◽  
Good Ability ◽  
Important Research Area ◽  
Public Datasets

In recent years, violence detection has gradually turned into an important research area in computer vision, and have proposed many models with high accuracy. However, the unsatisfactory generalization ability of these methods over different datasets. In this paper, the authors propose a violence detection method based on C3D two-stream network for spatiotemporal features. Firstly, the authors preprocess the video data of RGB stream and optical stream respectively. Secondly, the authors feed the data into two C3D networks to extract features from the RGB flow and the optical flow respectively. Third, the authors fuse the features extracted by the two networks to obtain a final prediction result. To testify the performance of the proposed model, four different datasets (two public datasets and two self-built datasets) are selected in this paper. The experimental results show that our model has good generalization ability compared to state-of-the-art methods, since it not only has good ability on large-scale datasets, but also performs well on small-scale datasets.

scholarly journals Unravelling the plant diversity of the Amazonian canga through DNA barcoding

2021 ◽  
Author(s):  
Santelmo Vasconcelos ◽  
Gisele Nunes ◽  
Mariana Dias ◽  
Jamily Lorena ◽  
Renato Oliveira ◽  
...  
Keyword(s):  
Dna Barcoding ◽  
Plant Diversity ◽  
Vascular Plants ◽  
Dna Barcode ◽  
Brazilian Amazon ◽  
Dna Barcodes ◽  
Dna Metabarcoding ◽  
Industrial Mining ◽  
First Time ◽  
Species Being

The canga of the Serra dos Carajás, in Eastern Amazon, is home to a unique open plant community, harbouring several endemic and rare species. Although a complete flora survey has been recently published, scarce to no genetic information is available for most plant species of the ironstone outcrops of the Serra dos Carajás. In this scenario, DNA barcoding appears as a fast and effective approach to assess the genetic diversity of the Serra dos Carajás flora, considering the growing need for robust biodiversity conservation planning in such an area with industrial mining activities. Thus, after testing eight different DNA barcode markers (matK, rbcL, rpoB, rpoC1, atpF-atpH, psbK-psbI, trnH-psbA and ITS2), we chose rbcL and ITS2 as the most suitable markers for a broad application in the regional flora. Here we describe DNA barcodes for 1,130 specimens of 538 species, 323 genera and 115 families of vascular plants, with a total of 344 species being barcoded for the first time. In addition, we assessed the potential of using DNA metabarcoding of bulk samples for surveying plant diversity in the canga. Upon achieving the first comprehensive DNA barcoding effort directed to a complete flora in the Brazilian Amazon, we discuss the relevance of our results to guide future conservation measures in the Serra dos Carajás.

scholarly journals Research on the Development of Small and Medium-sized Navy in Southeast Asian Countries

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Shyi-Min Lu ◽  
Keyword(s):  
Large Scale ◽  
Research Area ◽  
Arms Race ◽  
Asia Pacific ◽  
Important Research ◽  
Asian Countries ◽  
Asia Pacific Region ◽  
International Trends ◽  
Important Research Area ◽  
Modernization Process

There is no doubt that the entire Asia-Pacific region, especially Southeast Asia, is undergoing a large-scale naval modernization process. However, most analyses of this phenomenon have focused on its scope and nature, especially its possible consequences for peace and stability in the region. Of particular concern is whether we are seeing the beginning of an unstable naval arms race in the region. This is completely grounded, and it is indeed an important research area, which will be discussed in the article. In addition, we also look at the general naval modernization process, and discuss in essence how the country to develop or maintain the navy, as well as the special problems and challenges that the navy often faces in this process, for example, with the current economic growth and international trends, increasing the naval budget and procurement of related potential ship. The purpose of this paper is to review the naval modernization of the six countries in the South China Sea, which can be served as guidance for Taiwan's navy construction.

scholarly journals Metrical Books as one the Most Critical Important Historical Source in the Scholarly Research of Rizaeddin Fakhreddin

2020 ◽  
Vol 5 (2) ◽  
pp. 318-330
Author(s):  
Elmira K. Salakhova ◽  
Keyword(s):  
Scientific Research ◽  
Research Area ◽  
Historical Research ◽  
Primary Sources ◽  
Historical Sources ◽  
Scientific Legacy ◽  
Important Research Area ◽  
Close Relatives ◽  
Essential Sets ◽  
First Time

Metric books are one of the essential sets of sources that provide valuable material for historical research. Unfortunately, metric books' level of use and involvement as historical sources in scientific and scholarly works is still mediocre. At the beginning of the XX century, Rizaeddin Fakhreddin paid attention to those primary sources: he actively referenced them in his scientific research and contributed to their preservation. Thanks to Qadi, the mufti of the USSR Rizaeddin Fakhreddin, the extensive collections of Muslim metric books were preserved. The key sources for his famous works as «Famous Men», «Famous Women», «Asar» were metrical books. It is worth highlighting the bibliographic work, «Asar» There Fakhreddin restored the biography, exact dates of birth and death, and lineage of prominent people, theologians, and imams based on the materials from metrical books. This article aims to demonstrate the role and importance of metric books in the scientific research of Fakhreddin. This article set several tasks, namely: to analyze material the metric books as sources of historical research, demonstrate the degree of usage of metric books by Fakhreddin in his works, and to evaluate the possibilities of studying these documents in the disclosure of several scholarly topics. For the first time in this publication, the scientific legacy of Fakhreddin is studied from that perspective. The author also draws attention to the fact that the biography of R. Fakhreddin, written by his hand, contains many extracts from the metrical books of his family members and close relatives. It worth mentioning that the author in his article draws attention to such discussions, which have recently become quite relevant, for example, the question of whether a person registered in the metric books belongs to a particular nationality. As the article will demonstrate below, a person's social affiliation in metric books cannot be interpreted as his nationality. According to the rules of registration of metric books, there was no indication specifying a person's nationality; besides, a person's nationality did not have any significance. Fakhreddin's reverential attitude and appeal to metric books emphasize their essential place in Tatar-written sources' complex. The scientific study of a voluminous complex of metric books as valuable historical sources should be an important research area in historical science.

Scheming

2018 ◽  
Author(s):  
Seán Damer
Keyword(s):  
Social Class ◽  
Housing Policy ◽  
Large Scale ◽  
Class Structure ◽  
Local Council ◽  
Housing Scheme ◽  
Post War ◽  
First Time ◽  
The Voice ◽  
House Building

This book seeks to explain how the Corporation of Glasgow, in its large-scale council house-building programme in the inter- and post-war years, came to reproduce a hierarchical Victorian class structure. The three tiers of housing scheme which it constructed – Ordinary, Intermediate, and Slum-Clearance – effectively signified First, Second and Third Class. This came about because the Corporation uncritically reproduced the offensive and patriarchal attitudes of the Victorian bourgeoisie towards the working-class. The book shows how this worked out on the ground in Glasgow, and describes the attitudes of both authoritarian housing officials, and council tenants. This is the first time the voice of Glasgow’s council tenants has been heard. The conclusion is that local council housing policy was driven by unapologetic considerations of social class.

Investigating Diseases and Chemicals in COVID-19 Literature with Text Mining (Preprint)

2020 ◽  
Author(s):  
Amir Karami ◽  
Brandon Bookstaver ◽  
Melissa Nolan
Keyword(s):  
Text Mining ◽  
Literature Review ◽  
Topic Modeling ◽  
Large Scale ◽  
Clinical Manifestations ◽  
International Health ◽  
Research Papers ◽  
Strategic Plans ◽  
Funding Agencies ◽  
The Relationship

BACKGROUND The COVID-19 pandemic has impacted nearly all aspects of life and has posed significant threats to international health and the economy. Given the rapidly unfolding nature of the current pandemic, there is an urgent need to streamline literature synthesis of the growing scientific research to elucidate targeted solutions. While traditional systematic literature review studies provide valuable insights, these studies have restrictions, including analyzing a limited number of papers, having various biases, being time-consuming and labor-intensive, focusing on a few topics, incapable of trend analysis, and lack of data-driven tools. OBJECTIVE This study fills the mentioned restrictions in the literature and practice by analyzing two biomedical concepts, clinical manifestations of disease and therapeutic chemical compounds, with text mining methods in a corpus containing COVID-19 research papers and find associations between the two biomedical concepts. METHODS This research has collected papers representing COVID-19 pre-prints and peer-reviewed research published in 2020. We used frequency analysis to find highly frequent manifestations and therapeutic chemicals, representing the importance of the two biomedical concepts. This study also applied topic modeling to find the relationship between the two biomedical concepts. RESULTS We analyzed 9,298 research papers published through May 5, 2020 and found 3,645 disease-related and 2,434 chemical-related articles. The most frequent clinical manifestations of disease terminology included COVID-19, SARS, cancer, pneumonia, fever, and cough. The most frequent chemical-related terminology included Lopinavir, Ritonavir, Oxygen, Chloroquine, Remdesivir, and water. Topic modeling provided 25 categories showing relationships between our two overarching categories. These categories represent statistically significant associations between multiple aspects of each category, some connections of which were novel and not previously identified by the scientific community. CONCLUSIONS Appreciation of this context is vital due to the lack of a systematic large-scale literature review survey and the importance of fast literature review during the current COVID-19 pandemic for developing treatments. This study is beneficial to researchers for obtaining a macro-level picture of literature, to educators for knowing the scope of literature, to journals for exploring most discussed disease symptoms and pharmaceutical targets, and to policymakers and funding agencies for creating scientific strategic plans regarding COVID-19.

scholarly journals Shell-crossing in a ΛCDM Universe

2020 ◽  
Vol 501 (1) ◽  
pp. L71-L75
Author(s):  
Cornelius Rampf ◽  
Oliver Hahn
Keyword(s):  
Dark Matter ◽  
Perturbation Theory ◽  
Large Scale ◽  
Cold Dark Matter ◽  
Three Dimensional ◽  
Random Initial Data ◽  
Recursion Relations ◽  
Indispensable Tool ◽  
First Time ◽  
Very High

ABSTRACT Perturbation theory is an indispensable tool for studying the cosmic large-scale structure, and establishing its limits is therefore of utmost importance. One crucial limitation of perturbation theory is shell-crossing, which is the instance when cold-dark-matter trajectories intersect for the first time. We investigate Lagrangian perturbation theory (LPT) at very high orders in the vicinity of the first shell-crossing for random initial data in a realistic three-dimensional Universe. For this, we have numerically implemented the all-order recursion relations for the matter trajectories, from which the convergence of the LPT series at shell-crossing is established. Convergence studies performed at large orders reveal the nature of the convergence-limiting singularities. These singularities are not the well-known density singularities at shell-crossing but occur at later times when LPT already ceased to provide physically meaningful results.

Plant leaf recognition with shallow and deep learning: A comprehensive study

2020 ◽  
Vol 24 (6) ◽  
pp. 1311-1328
Author(s):  
Jozsef Suto
Keyword(s):  
Machine Learning ◽  
Plant Species ◽  
Research Area ◽  
Research Papers ◽  
Plant Leaf ◽  
Leaf Characteristics ◽  
The Past ◽  
The Earth ◽  
Test Sets ◽  
Comprehensive Study

Nowadays there are hundreds of thousands known plant species on the Earth and many are still unknown yet. The process of plant classification can be performed using different ways but the most popular approach is based on plant leaf characteristics. Most types of plants have unique leaf characteristics such as shape, color, and texture. Since machine learning and vision considerably developed in the past decade, automatic plant species (or leaf) recognition has become possible. Recently, the automated leaf classification is a standalone research area inside machine learning and several shallow and deep methods were proposed to recognize leaf types. From 2007 to present days several research papers have been published in this topic. In older studies the classifier was a shallow method while in current works many researchers applied deep networks for classification. During the overview of plant leaf classification literature, we found an interesting deficiency (lack of hyper-parameter search) and a key difference between studies (different test sets). This work gives an overall review about the efficiency of shallow and deep methods under different test conditions. It can be a basis to further research.

3.17% efficient Cu2ZnSnS4–BiVO4 integrated tandem cell for standalone overall solar water splitting

2021 ◽  
Author(s):  
Dingwang Huang ◽  
Kang Wang ◽  
Lintao Li ◽  
Kuang Feng ◽  
Na An ◽  
...  
Keyword(s):  
Water Splitting ◽  
Large Scale ◽  
Tandem Cell ◽  
Solar Water ◽  
Solar Water Splitting ◽  
First Time

3.17% efficient Cu2ZnSnS4–BiVO4 integrated tandem cell and a large scale 5 × 5 cm integrated CZTS–BiVO4 tandem device for standalone overall solar water splitting was assembled for the first time.

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