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生物学 | SCI期刊专刊信息5条

Call4Papers  · 公众号  · 科研  · 2020-12-31 10:08

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生物学

Gene

Multidisciplinary attempts for getting evidence on the molecular as well as gene expression levels for the efficacies of traditional medicines


全文截稿: 2021-02-28
影响因子: 2.638
中科院JCR分区:
• 大类 : 生物 - 3区
• 小类 : 遗传学 - 4区
网址: https://www.journals.elsevier.com/gene



A traditional herbal medicine has widely been used to treat various diseases in the world. Generally, the medicine is a mixture of crude drugs with different efficacies, each of which consists of many ingredients, leading to have a systemic effect by regulating a variety of biological networks at the levels of cell, tissue, and body. Thus, a traditional herbal medicine is thought to exert the pharmacological efficacy by interacting with multiple factors in the organisms as the multi-component drug. Because of such complex features, the comprehensive understanding of its specific mode of action has been elusive to date. Recently, thanks to remarkable developments of systems biological approach as well as technologies about next-generation sequencing, the complex networks of biological factors have been revealed. Therefore, to elucidate how a traditional herbal medicine affects the complex interaction of biological function is intrinsically important to know its specific mode of action. Here, we call for research papers, methodological proposals and reviews in this special issue of Gene aimed at elucidating the various pharmacological actions of traditional herbal medicines at the molecular as well as gene expression levels, and at advancing comprehensively our understanding of such valuable heritage of humankind.

On behalf of the Guest Editors, we welcome both original and review articles to the Special Issue.

For information about manuscript preparation, please refer to the on-line Guide for Authors:
https://www.elsevier.com/journals/gene/0378-1119/guide-for-authors

Important deadlines:

Submissions opening date: 1 January 2021

Submission Deadline: 28 February 2021

Publication: 2021

Guest Editors Contact Details:

Managing Guest Editor:

Pr Norihiro Okada
Kitasato University
[email protected]

Co-Guest Editors

Dr Kazushige Mizoguchi
Tsumura Kampo Research Laboratories, Tsumura & CO.
[email protected]

Pr Takashi Gojobori
KAUST (King Abdullah University of Science and Technology
[email protected]




生物学

International Journal for Parasitology

Special Issue: Parasites of Wildlife in China


全文截稿: 2021-02-28
影响因子: 3.478
中科院JCR分区:
• 大类 : 医学 - 3区
• 小类 : 寄生虫学 - 2区
网址: https://www.journals.elsevier.com/international-journal-for-parasitology



Edited by Lihua Xiao and Andrew Thompson

Submission Deadline: 28 February 2021

There is an increasing interest in parasites of wildlife in China. The number of articles submitted toInternational Journal for Parasitology: Parasites and Wildlife on this subject has grown substantially in the last two years. It is therefore timely to produce a special issue devoted to Parasites of Wildlife in China. The scope of IJPPAW covers original research on parasites of all wildlife, invertebrate and vertebrate, including free-ranging, wild populations, as well as captive wildlife.

Our journal therefore provides a unique opportunity to showcase the breadth of research being undertaken on this subject in China. We welcome research and review articles covering all aspects of wildlife parasitology including taxonomy, biodiversity and distribution, ecology and epidemiology, population biology and host-parasite relationships. The impact of parasites on the health and conservation of wildlife is seen as an important area covered by our journal especially the potential role of environmental factors, for example climate. Also important to our journal is 'one health' and the nature of interactions between wildlife, people and domestic animals, including disease emergence and zoonoses.

View IJPPAW homepage

Submit your paper




生物学

Algal Research

Call for Papers of Special Issue on “Carbon capture and utilization advances through algae systems ”


全文截稿: 2021-03-06
影响因子: 0.0
中科院JCR分区:
• 大类 : 生物 - 2区
• 小类 : 生物工程与应用微生物 - 2区
网址: https://www.journals.elsevier.com/algal-research



Atmospheric carbon dioxide (CO2) has reached alarming concentrations that accelerate threats to our planet and human society, including climate change and pandemics. Our generation has made significant progress in developing cleaner technologies to reduce energy and supply chain materials, improve carbon capture rates, increase bioproducts yields, and enhance energy consumption and conversion efficiencies. Algae biotechnologies have played a significant role contributing with alternatives to biologic carbon capture sequestration from the atmosphere while obtaining environmental remediation and in-demand bioproducts aiming to accomplish economics and sustainability goals.

In response to these research needs and progress, Algal Research will publish a special issue documenting “carbon capture and utilization advances through algae systems.” In this issue we will consider reviews, case studies, and original research in the interdisciplinary fields of:


Genomics

Synthetic biology

Process engineering

Economics

Environmental and social sustainability


Strains can consist of micro-and macro-algae, cyanobacteria, and polycultures. Applications can include but are not limited to direct air capture, bioreactor advancement, and carbon dioxide storage into bioproducts systems.

The guest editor of this special issue is Dr. Carlos Quiroz-Arita, Sandia National Laboratories. The deadline for submission is March 6th, 2021. The authors are encouraged to contact the guest editor in advance of submissions if they are unsure whether the manuscript is appropriate for this particular issue.




生物学

Biomedical Signal Processing and Control

Call for Papers: Special Issue on Analysis of 1D Biomedical Signals through AI-based Approaches for Image Processing


全文截稿: 2021-03-30
影响因子: 2.943
中科院JCR分区:
• 大类 : 医学 - 3区
• 小类 : 工程:生物医学 - 3区
网址: https://www.journals.elsevier.com/biomedical-signal-processing-and-control



The human body is a complex electro-mechanical system that generates electrical, mechanical, thermal, and other signals that we normally call Biomedical Signals. ECG, EMG, PCG, PPG, BCG, skin temperature, and skin conductance are some of the 1D biomedical signals examples that record the dynamic changes of the human body, and that can also be monitored by the use of smart wearables.

The automatic analysis of biomedical signals has become an important process to both identify indicators of diseased states and to provide meaningful information for various applications in physiology, sports medicine and human–computer interface.

Recent advances in Artificial Intelligence (AI) have the potential to manage and analyze large biomedical datasets leading to the clinical decisions and real-time applications. These techniques have been applied successfully to medical imaging, but the analysis of 1D biomedical signals has yet to fully benefit from this novel approach.

Biomedical Signal and Image Processing includes the analysis, classification, and manipulation of signals by means of operations like filtering, compression, feature extraction, enhancement and spectral analysis. Under such conditions, the use of computational innovative techniques based on the convergence of signal and image processing will help us to get new solutions to the real-world challenges.

This Special Issue is aimed at sharing the innovative ideas and algorithms in the Biomedical Signal and Image Processing domain. Precisely, the objective of this Special Issue is to focus attention on emerging methods and techniques based on the transformation of biomedical signals into images and their processing through AI-based image processing approaches.

With this mission, the principal aim of this Special Issue is to collect original contributions as either research papers or comprehensive reviews that address and discuss the impact and relevance of signals and images processing in research and applicative areas such as:


Audio and Acoustic Signal Processing

Cardiovascular Signals Processing

Medical Signal Acquisition, Analysis and Processing

Motion Control

Physiological Processes and Biomedical Signal Modeling

Neural Networks for Biomedical Data

Pattern Recognition & Machine Learning for Biomedical Data

Biomedical Signals from Wearable Sensors and Systems

Real-Time Systems & Biomedical-Based User Interfaces

Internet of Health Things

Detection and Identification of Diseases

Electromagnetic Fields in Biology and Medicine

Others


all referred to processing of 1D Biomedical Signals as images.



Paper Format and Submission:

For general author guidelines and an author information pack, please visit:

https://www.elsevier.com/journals/biomedical-signal-processing-and-control/1746-8094/guide-for-authors

Paper submission takes place online: http://ees.elsevier.com/bspc/default.asp?acw=&utt=

Please note that you must specify submission for the special issue “Biomed Signals as Images”.

Important Dates:

Manuscript submission due: March 30, 2021

First Review Results: June 30, 2021

Final Review and Decision: October 30, 2021

Publication date: 4th Quarter 2021




生物学

Biosensors and Bioelectronics

Call for Papers | Special Issue on Wearable Biosensors and Bioelectronics







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