A review on recent developments and challenges of cathode materials for rechargeable aqueous Zn-ion batteries

2019 ◽  
Vol 7 (31) ◽  
pp. 18209-18236 ◽  
Author(s):  
Dinesh Selvakumaran ◽  
Anqiang Pan ◽  
Shuquan Liang ◽  
Guozhong Cao

This review highlights the recent developments of cathode materials for aqueous zinc-ion batteries, which are cost effective and have good safety.

2020 ◽  
Vol MA2020-02 (68) ◽  
pp. 3470-3470
Author(s):  
Saiful Islam ◽  
Muhammad Hilmy Alfaruqi ◽  
JunJi Piao ◽  
Seokhun Kim ◽  
Seulgi Lee ◽  
...  

Genes ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 283
Author(s):  
Eyal Seroussi

Determination of the relative copy numbers of mixed molecular species in nucleic acid samples is often the objective of biological experiments, including Single-Nucleotide Polymorphism (SNP), indel and gene copy-number characterization, and quantification of CRISPR-Cas9 base editing, cytosine methylation, and RNA editing. Standard dye-terminator chromatograms are a widely accessible, cost-effective information source from which copy-number proportions can be inferred. However, the rate of incorporation of dye terminators is dependent on the dye type, the adjacent sequence string, and the secondary structure of the sequenced strand. These variable rates complicate inferences and have driven scientists to resort to complex and costly quantification methods. Because these complex methods introduce their own biases, researchers are rethinking whether rectifying distortions in sequencing trace files and using direct sequencing for quantification will enable comparable accurate assessment. Indeed, recent developments in software tools (e.g., TIDE, ICE, EditR, BEEP and BEAT) indicate that quantification based on direct Sanger sequencing is gaining in scientific acceptance. This commentary reviews the common obstacles in quantification and the latest insights and developments relevant to estimating copy-number proportions based on direct Sanger sequencing, concluding that bidirectional sequencing and sophisticated base calling are the keys to identifying and avoiding sequence distortions.


2021 ◽  
Vol 13 (4) ◽  
pp. 2031
Author(s):  
Fabio Grandi ◽  
Riccardo Karim Khamaisi ◽  
Margherita Peruzzini ◽  
Roberto Raffaeli ◽  
Marcello Pellicciari

Product and process digitalization is pervading numerous areas in the industry to improve quality and reduce costs. In particular, digital models enable virtual simulations to predict product and process performances, as well as to generate digital contents to improve the general workflow. Digital models can also contain additional contents (e.g., model-based design (MBD)) to provide online and on-time information about process operations and management, as well as to support operator activities. The recent developments in augmented reality (AR) offer new specific interfaces to promote the great diffusion of digital contents into industrial processes, thanks to flexible and robust applications, as well as cost-effective devices. However, the impact of AR applications on sustainability is still poorly explored in research. In this direction, this paper proposed an innovative approach to exploit MBD and introduce AR interfaces in the industry to support human intensive processes. Indeed, in those processes, the human contribution is still crucial to guaranteeing the expected product quality (e.g., quality inspection). The paper also analyzed how this new concept can benefit sustainability and define a set of metrics to assess the positive impact on sustainability, focusing on social aspects.


Molecules ◽  
2021 ◽  
Vol 26 (10) ◽  
pp. 2940
Author(s):  
Antonella Curulli

Safety and quality are key issues for the food industry. Consequently, there is growing demand to preserve the food chain and products against substances toxic, harmful to human health, such as contaminants, allergens, toxins, or pathogens. For this reason, it is mandatory to develop highly sensitive, reliable, rapid, and cost-effective sensing systems/devices, such as electrochemical sensors/biosensors. Generally, conventional techniques are limited by long analyses, expensive and complex procedures, and skilled personnel. Therefore, developing performant electrochemical biosensors can significantly support the screening of food chains and products. Here, we report some of the recent developments in this area and analyze the contributions produced by electrochemical biosensors in food screening and their challenges.


Carbon ◽  
2021 ◽  
Vol 177 ◽  
pp. 429
Author(s):  
Man Wang ◽  
Xiaogang Che ◽  
Siyu Liu ◽  
Juan Yang

2019 ◽  
Vol 11 (23) ◽  
pp. 20888-20894 ◽  
Author(s):  
Qian li ◽  
Tongye Wei ◽  
Kaixuan Ma ◽  
Gongzheng Yang ◽  
Chengxin Wang

1987 ◽  
Vol 31 (11) ◽  
pp. 1261-1265 ◽  
Author(s):  
Joan M. Ryder ◽  
Richard E. Redding ◽  
Peter F. Beckschi

This study evaluated current training methodologies, particularly Instructional Systems Development (ISD), and recent developments in cognitive science to determine how training procedures should be modified to support training for tasks which require complex cognitive skills. We contend that ISD is still viable if procedures are developed for the training of cognitive skills. An important component of ISD which needs to be modified to support training of cognitive skills is the task analysis. We discuss the need for integrating efficient and cost-effective cognitive task analysis methodologies with traditional analysis methods.


Carbon ◽  
2021 ◽  
Author(s):  
Dong Sui ◽  
Manman Wu ◽  
Kaiyuan Shi ◽  
Changle Li ◽  
Junwei Lang ◽  
...  

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