scholarly journals Taxonomic classification of algae by the use of chlorophyll a fluorescence

2017 ◽  
Vol 26 (4) ◽  
pp. 470-480
Author(s):  
Nikodem Szymański ◽  
Piotr Dąbrowski ◽  
Hazem Kalaji ◽  
Detlev Lohse ◽  
Balaji Panchal ◽  
...  

Natural water reservoirs are very important ecosystems thus they should be under continuous monitoring and protection. In water of low quality, the algal blooms develop develops vastly. The knowledge of algal species composition is necessary for understanding this process. There are a few traditional group-specific methods of microalgae classification, but they are often labour-intense and time-consuming. Moreover, the samples must be prepared and/or collected before getting any results. Non-invasive chlorophyll fluorescence analysis offers an alternative approach and potentially allows in situ estimation of algal concentration. In this work the fluorometric methods to estimate algae content in water and to differentiate algal populations is presented.

2019 ◽  
Vol 7 (9) ◽  
pp. 314 ◽  
Author(s):  
Tian ◽  
Huang

Harmful algal blooms (HABs) cause environmental problems worldwide. Continuous monitoring and forecasting of harmful algal blooms are necessary for marine resources managers to detect the intensity and spatial extent of HABs and provide early warnings to the public. In this study, we introduce an integrated web-based system for the monitoring and forecasting of coastal HABs. The system is named the Harmful Algal Blooms Monitoring and Forecasting System (HMFS). HMFS integrates in situ observations, a remote-sensing-based model, hydrodynamic and water quality model and Web-Based Geographic Information System (GIS) techniques into one environment. The in situ sensors and remote sensing model provide automatic and continuous monitoring of the coastal water conditions. The numerical models provide short-term prediction and early warning of HAB of up to 5 days. The overall forecast accuracy is more than or equal to 50% for the major coastal areas of Shenzhen in 2018. By leveraging a web-based GIS technique and Service-Oriented Architecture (SOA), the web portal of HMFS provides a graphic interface for users and mangers to view real-time in situ measurements and remote sensing maps, explore numerical model forecasts and get early warning information. HMFS was applied to Shenzhen, which is a rising megacity in Southern China. The application study demonstrated the applicability and effectiveness of HMFS for monitoring and predicting HABs.


Author(s):  
F. Plassard

The analysis of pigment the Palaeolithic artists used in cave art has interested the archaeologists very soon (Moissan, 1902). Nevertheless, the necessity of the preservation of the prehistoric artworks has limited the analysis on long time, because this research implied samples which could damage the artworks. The recent development of new equipment allowing non-invasive in situ chemical analysis has conducted to quick increasing of the research in this field. The pigment the prehistoric artists used in Rouffignac cave is strongly studied for fifteen years. After methodological tests, ambitious archaeological programs give nowadays new elements about our knowledge of the wall artworks. Research history. The Rouffignac cave is known for long time because its entrance was never closed. Nevertheless, the prehistoric interest of the site was understood only the 26 june 1956 when L.-R. Nougier and R. Robert identified the first artworks (Barrire, 1982 Plassard, 1999). A strong polemic was born around the authenticity of these documents during the summer 1956 and found a conclusion in an international commission meeting. In this context, the first chemical analysis of pigment in Rouffignac cave was carried out by P. Graziosi (Firenze University, Italy). He concluded the artworks were done with manganese dioxide (Graziosi, 1956). For nearly 50 years, no new research was carried out on the pigments used by the Magdalenians. In 2004, the CEA (Commissariat lEnergie Atomique) made a transportable experimental device for the X-ray fluorescence analysis which opened up new possibilities. A brief analysis campaign was held in November 2004. It aimed to test the feasibility of this type of research in cave, to confirm the Graziosi analyses and to look for black pigments which would not produce any fluorescence spectrum and could be suspected to contain organic matter. The first two objectives were achieved but the presence of organic pigment could not be detected anywhere (De Sanoit et al., 2005). Between 2009 and 2015, a new program expended, first as part of an ANR framework (MADAPCA) and then as part of a PhD project. Several methods were again tested: X-ray fluorescence, X-ray diffraction and Raman spectrometry. Several publications document this research (Beck et al., 2012 AND 2014 Lalhil et al., 2012). However, it quickly became apparent that X-ray fluorescence was the most effective Электронная библиотека ИА РАН: https://www.archaeolog.ru/ru/el-bib 26 method combining short scan times, guaranteed (or nearly) results and reproducibility of measurements. This option was therefore developed by Marine Gay as part of her PhD (Gay et al., 2016).


Author(s):  
Shawni Dutta ◽  
Samir Kumar Bandyopadhyay

Breast cancer develops from cells lining the milk ducts and slowly grows into a lump or a tumour. Breast cancer may be invasive or non-invasive. Invasive cancer spreads from the milk duct or lobule to other tissues in the breast, whereas, non-invasive ones lack the ability to invade other breast tissues. Non-invasive breast cancer is called in situ and may remain inactive for entire lifetime. Due to heterogeneity nature of breast, density as well as masses is variable in size and shape. A dataset of 18056 patients are collected from 20 Government Hospitals and 50 Private Hospitals in West Bengal before COVID-19 and after COVID-19. The classification of patients are made on three classes- Normal, Sign of Abnormality and Abnormality. The reports of MRIs of patients in January 2020 and February 2020 are collected from different hospitals. It is treated as dataset before COVID-19 . MRIS of patients in April 2020 and May 2020 are dataset during COVID-19. The entire datasets are accumulated for testing of any change in patients MRIS after the official announcement of new virus COVID-19 in March 2020. The aim of the paper is to make a comparison of any change in size and shape of masses of MRIs of patients before and after COVId-19. All collected MRIs reports are diagnosed by radiologists of hospitals.


2020 ◽  
pp. 71-74
Author(s):  
M.M. Melnyk ◽  
◽  
S.V. Nespradko ◽  
I.V. Goncharuk ◽  
M.V. Marchenko ◽  
...  

The objective: analyse the effectiveness of diagnosis and treatment for early cervical cancer. Materials and methods. Analysed 107 cases of women’s disease on CIN ІІІ, cancer in situ, they were on treatment in National cancer institute and Kyiv dictrict cancer dispensary from 2010 till 2015 years. Results. Diagnosed percent relapse CIN ІІІ, cancer in situ contain 4.57% uninvasive and invasive form – 0.94%. Conclusion. According diagnostic CIN ІІ and CIN ІІІ is recommended to do treatment conization and dynamic dispensary observation. Are making complex program of infection HPV16, 18. In appering of margins resection some elements of tumor after wider conization by forms of cancer in situ. Many of expansive burns in cervical glands, in making of reproductive function, going disease (nodel leiomyoma of corpus uteri etc). In perspective is accept the notion of looking after and screening research of considering infection HPV16, 18 on CIN І, CIN ІІ. Key words: cervical cancer, сancer in situ, CIN І–ІІІ, diagnostic, treatment, conization.


2020 ◽  
Vol 2020 (10) ◽  
pp. 28-1-28-7 ◽  
Author(s):  
Kazuki Endo ◽  
Masayuki Tanaka ◽  
Masatoshi Okutomi

Classification of degraded images is very important in practice because images are usually degraded by compression, noise, blurring, etc. Nevertheless, most of the research in image classification only focuses on clean images without any degradation. Some papers have already proposed deep convolutional neural networks composed of an image restoration network and a classification network to classify degraded images. This paper proposes an alternative approach in which we use a degraded image and an additional degradation parameter for classification. The proposed classification network has two inputs which are the degraded image and the degradation parameter. The estimation network of degradation parameters is also incorporated if degradation parameters of degraded images are unknown. The experimental results showed that the proposed method outperforms a straightforward approach where the classification network is trained with degraded images only.


Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 879
Author(s):  
Robert D. Crapnell ◽  
Ascanio Tridente ◽  
Craig E. Banks ◽  
Nina C. Dempsey-Hibbert

Lactate is widely measured in critically ill patients as a robust indicator of patient deterioration and response to treatment. Plasma concentrations represent a balance between lactate production and clearance. Analysis has typically been performed with the aim of detecting tissue hypoxia. However, there is a diverse range of processes unrelated to increased anaerobic metabolism that result in the accumulation of lactate, complicating clinical interpretation. Further, lactate levels can change rapidly over short spaces of time, and even subtle changes can reflect a profound change in the patient’s condition. Hence, there is a significant need for frequent lactate monitoring in critical care. Lactate monitoring is commonplace in sports performance monitoring, given the elevation of lactate during anaerobic exercise. The desire to continuously monitor lactate in athletes has led to the development of various technological approaches for non-invasive, continuous lactate measurements. This review aims firstly to reflect on the potential benefits of non-invasive continuous monitoring technology within the critical care setting. Secondly, we review the current devices used to measure lactate non-invasively outside of this setting and consider the challenges that must be overcome to allow for the translation of this technology into intensive care medicine. This review will be of interest to those developing continuous monitoring sensors, opening up a new field of research.


Water ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 1409
Author(s):  
Hamdhani Hamdhani ◽  
Drew E. Eppehimer ◽  
David Walker ◽  
Michael T. Bogan

Chlorophyll-a measurements are an important factor in the water quality monitoring of surface waters, especially for determining the trophic status and ecosystem management. However, a collection of field samples for extractive analysis in a laboratory may not fully represent the field conditions. Handheld fluorometers that can measure chlorophyll-a in situ are available, but their performance in waters with a variety of potential light-interfering substances has not yet been tested. We tested a handheld fluorometer for sensitivity to ambient light and turbidity and compared these findings with EPA Method 445.0 using water samples obtained from two urban lakes in Tucson, Arizona, USA. Our results suggested that the probe was not sensitive to ambient light and performed well at low chlorophyll-a concentrations (<25 µg/L) across a range of turbidity levels (50–70 NTU). However, the performance was lower when the chlorophyll-a concentrations were >25 µg/L and turbidity levels were <50 NTU. To account for this discrepancy, we developed a calibration equation to use for this handheld fluorometer when field monitoring for potential harmful algal blooms in water bodies.


Synlett ◽  
2021 ◽  
Author(s):  
Dongxu Yang ◽  
Linqing Wang

AbstractMagnesium (Mg) is a cheap, non-toxic, and recyclable alkaline earth metal that constitutes about 2% weight in the Earth’s crust. The use of magnesium catalysts to forge chiral moieties in molecules is highly attractive. Based on our work in recent years, we describe the current progress in the development of in situ generated magnesium catalysts and their application in asymmetric synthesis. In this perspective, a critically concise classification of in situ generated magnesium catalytic modes, with relevant examples, is presented, and representative mechanisms of each category are discussed. Building on the established diverse strategies, one can foresee that more innovative and structurally creative magnesium catalysts that are generated in situ will be developed to overcome more formidable challenges of catalytic enantioselective reactions.1 Introduction2 Magnesium Catalysts Generated in Situ from Chiral Ligands Containing Dual Reactive Hydrogens3 Magnesium Catalysts Generated in Situ from Monoanionic Chiral Ligands4 Bimetallic and Polymetallic Magnesium Catalysts Assembled in Situ5 Summary and Outlook


2021 ◽  
Vol 137 ◽  
pp. 106861
Author(s):  
Deepa Joshi ◽  
Ankit Butola ◽  
Sheetal Raosaheb Kanade ◽  
Dilip K. Prasad ◽  
S.V. Amitha Mithra ◽  
...  

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