First in situ estimations of small phytoplankton carbon and nitrogen uptake rates in the Kara, Laptev, and East Siberian seas

Bhavya, P. Sadanandan,Lee, Jang Han,Lee, Ho Won,Kang, Jae Joong,Lee, Jae Hyung,Lee, Dabin,An, So Hyun,Stockwell, Dean A.,Whitledge, Terry E.,Lee, Sang Heon Copernicus GmbH 2018 Biogeosciences Vol.15 No.18

<P><p><strong>Abstract.</strong> Carbon and nitrogen uptake rates by small phytoplankton (0.7-5<span class='thinspace'></span><span class='inline-formula'>µ</span>m) in the Kara, Laptev, and East Siberian seas in the Arctic Ocean were quantified using in situ isotope labeling experiments; this research, which was novel and part of the NABOS (Nansen and Amundsen Basins Observational System) program, took place from 21 August to 22 September 2013. The depth-integrated carbon (C), nitrate (<span class='inline-formula'><math xmlns='http://www.w3.org/1998/Math/MathML' id='M2' display='inline' overflow='scroll' dspmath='mathml'><mrow class='chem'><msubsup><mi mathvariant='normal'>NO</mi><mn mathvariant='normal'>3</mn><mo>-</mo></msubsup></mrow></math><span><svg:svg xmlns:svg='http://www.w3.org/2000/svg' width='25pt' height='16pt' class='svg-formula' dspmath='mathimg' md5hash='4c315b3ea451cf26923ad12993612b33'><svg:image xmlns:xlink='http://www.w3.org/1999/xlink' xlink:href='bg-15-5503-2018-ie00001.svg' width='25pt' height='16pt' src='bg-15-5503-2018-ie00001.png'/></svg:svg></span></span>), and ammonium (<span class='inline-formula'><math xmlns='http://www.w3.org/1998/Math/MathML' id='M3' display='inline' overflow='scroll' dspmath='mathml'><mrow class='chem'><msubsup><mi mathvariant='normal'>NH</mi><mn mathvariant='normal'>4</mn><mo>+</mo></msubsup></mrow></math><span><svg:svg xmlns:svg='http://www.w3.org/2000/svg' width='24pt' height='15pt' class='svg-formula' dspmath='mathimg' md5hash='f83a9f1907f38a5589c34b239e10518b'><svg:image xmlns:xlink='http://www.w3.org/1999/xlink' xlink:href='bg-15-5503-2018-ie00002.svg' width='24pt' height='15pt' src='bg-15-5503-2018-ie00002.png'/></svg:svg></span></span>) uptake rates by small phytoplankton ranged from 0.54 to 15.96<span class='thinspace'></span>mg<span class='thinspace'></span>C<span class='thinspace'></span>m<span class='inline-formula'>⁻²</span><span class='thinspace'></span>h<span class='inline-formula'>⁻¹</span>, 0.05 to 1.02<span class='thinspace'></span>mg<span class='thinspace'></span>C<span class='thinspace'></span>m<span class='inline-formula'>⁻²</span><span class='thinspace'></span>h<span class='inline-formula'>⁻¹</span>, and 0.11 to 3.73<span class='thinspace'></span>mg<span class='thinspace'></span>N<span class='thinspace'></span>m<span class='inline-formula'>⁻²</span><span class='thinspace'></span>h<span class='inline-formula'>⁻¹</span>, respectively. The contributions of small phytoplankton towards the total C, <span class='inline-formula'><math xmlns='http://www.w3.org/1998/Math/MathML' id='M10' display='inline' overflow='scroll' dspmath='mathml'><mrow class='chem'><msubsup><mi mathvariant='normal'>NO</mi><mn mathvariant='normal'>3</mn><mo>-</mo></msubsup></mrow></math><span><svg:svg xmlns:svg='http://www.w3.org/2000/svg' width='25pt' height='16pt' class='svg-formula' dspmath='mathimg' md5hash='dd23f13eb24280cbe650be4567ce8571'><svg:image xmlns:xlink='http://www.w3.org/1999/xlink' xlink:href='bg-15-5503-2018-ie00003.svg' width='25pt' height='16pt' src='bg-15-5503-2018-ie00003.png'/></svg:svg></span></span>, and <span class='inline-formula'><math xmlns='http://www.w3.org/1998/Math/MathML' id='M11' display='inline' overflow='scroll' dspmath='mathml'><mrow class='chem'><msubsup><mi mathvariant='normal'>NH</mi><mn mathvariant='normal'>4</mn><mo>+</mo></msubsup></mrow></math><span><svg:svg xmlns:svg='http://www.w3.org/2000/svg' width='24pt' height='15pt' class='svg-formula' dspmath='mathimg' md5hash='8cff18dc7544e09830abea500d71300b'><svg:image xmlns:xlink='http://www.w3.org/1999/xlink' xlink:href='bg-15-5503-2018-ie00004.svg' width='24pt' height='15pt' src='bg-15-5503-2018-ie00004.png'/></svg:svg></span></span> varied from 25<span class='thinspace'></span>% to 89<span class='thinspace'></span>%, 31<span class='thinspace'></span>% to 89<span class='thinspace'></span

Understanding anterior communicating artery aneurysms: A bibliometric analysis of top 100 most cited articles

Bhavya Pahwa,Sarvesh Goyal,Bipin Chaurasia 대한뇌혈관외과학회 2022 Journal of Cerebrovascular and Endovascular Neuros Vol.24 No.4

Bibliometric analysis is of paramount importance in assessing the research impact wherein studies are ranked on the basis of citations received. It also brings out the excellent contribution of authors and journals in adding evidence for future research. This study aimed at evaluating the top 100 most cited articles on anterior communicating artery (ACoA) Aneurysms. Scopus database was searched using title specific search for the aneurysm of ACoA and top 100 most cited articles along with their authors, author IDs, affiliated institutions, countries and funding bodies were identified. Search yielded 841 articles and top 100 articles were identified to include in this analysis which secured 5615 citations. Citations per year was also calculated to minimize the risk of bias. Maximum citations by any article were 242. The United States was the major contributor to the number of articles while Kessler Institute for Rehabilitation became the highest contributing institution. DeLuca J proved to be a pioneer in this specialized area as he penned 6 studies being first author in 4 of them, making him the most frequent author. National Institutes of Health and the U.S. Department of Health and Human Services were the main funding bodies. Subcategory analysis revealed, 50% studies provided evidence for the treatment and the surgical outcome of the aneurysm. Studies like these can aid in better neurological and neurosurgical management in decision making of ACoA aneurysm.

Electrochemical Impedance Spectroscopy (EIS) Performance Analysis and Challenges in Fuel Cell Applications

Padha, Bhavya,Verma, Sonali,Mahajan, Prerna,Arya, Sandeep The Korean Electrochemical Society 2022 Journal of electrochemical science and technology Vol.13 No.2

Electrochemical impedance spectroscopy (EIS) is a unique non-destructive technique employed to analyze various devices in different energy storage applications. It characterizes materials and interfaces for their properties in heterogeneous systems employing equivalent circuits as models. So far, it has been used to analyze the performance of various photovoltaic cells, fuel cells, batteries, and other energy storage devices, through equivalent circuit designing. This review highlights the diverse applications of EIS in fuel cells and specific parameters affecting its performance. A particular emphasis has been laid on the challenges faced by this technique and their possible solutions.

A Review on Marine N2 Fixation: Mechanism, Evolution of Methodologies, Rates, and Future Concerns

P. S. Bhavya,이상헌,민준오,김민섭,장효근,김관우,강재중,이재형,이다빈,조나은,김명준,김예진,이준범,이창화,배현지,유혜주,박상훈,윤미선 한국해양과학기술원 2019 Ocean science journal Vol.54 No.4

Investigations on marine N2 fixation have gained momentum since 1960s with eventual establishments of relevant methodologies to identify species involved and quantify the rates. The evolution of various methodologies to understand N2 fixation and to estimate its rates were underpinned by the constant efforts of pioneers in the ocean biogeochemical research field. Those efforts succeeded in introducing various methodologies that include experimental (15N2 bubble method and acetylene reduction method), geochemical (N* and P* method), mathematical modelling, and remote sensing techniques. However, the construction of an accurate N budget is still under progress due to inseparable issues associated with each method and difficulties in conducting the experiments onboard on a larger scale. Nevertheless, the contributions by each of the methodologies are significant and helped in forming basic ideas about N2 fixation activities on a global scale. It is not only important to recognize the contributions made by the formation of various methodologies by marine research pioneers, but also vital to summarize what we have achieved in the marine N2 fixation research area so far. Hence, this review is an attempt to brief on the various milestones achieved in research on the N2 fixation mechanism, species involved, evolution of methodologies to estimate N2 fixation rates, species identification, budgets, and future concerns.

A Review on the Macromolecular Compositions of Phytoplankton and the Implications for Aquatic Biogeochemistry

P. S. Bhavya,김보경,조나은,김관우,강재중,이재형,이다빈,이장한,주희태,안소현,김예원,민준오,강민구,윤미선,강창근,이상헌 한국해양과학기술원 2019 Ocean science journal Vol.54 No.1

Biochemical composition of phytoplankton is a key indicator of the physiological and nutritional status of phytoplankton. A balanced biochemical pattern represents a healthy and productive metabolism in the autotrophic levels which can facilitate proper functioning of higher level organisms. The estimation of biochemical compositions was initiated in the early 1970’s. However, there has been a significant set of modifications in the extraction method and improvements in the sampling and analysis techniques since then. Similarly, the extent of biochemical measurements from various aquatic ecosystems around the globe has also increased. Recently, biochemical patterns are being used as a tool to track the changes in the physiological status of phytoplankton as a response to climate change. Such investigations are also forming part of research works on marine food webs and the nutritional status of ecosystems. This article is a brief review of research works carried out so far in an attempt to understand the biochemical compositions of phytoplankton in the global oceans and the implications with regard to changing environmental conditions.

Using artificial intelligence to detect human errors in nuclear power plants: A case in operation and maintenance

Gursel Ezgi,Reddy Bhavya,Khojandi Anahita,Madadi Mahboubeh,Coble Jamie Baalis,Agarwal Vivek,Yadav Vaibhav,Boring Ronald L. 한국원자력학회 2023 Nuclear Engineering and Technology Vol.55 No.2

Human error (HE) is an important concern in safety-critical systems such as nuclear power plants (NPPs). HE has played a role in many accidents and outage incidents in NPPs. Despite the increased automation in NPPs, HE remains unavoidable. Hence, the need for HE detection is as important as HE prevention efforts. In NPPs, HE is rather rare. Hence, anomaly detection, a widely used machine learning technique for detecting rare anomalous instances, can be repurposed to detect potential HE. In this study, we develop an unsupervised anomaly detection technique based on generative adversarial networks (GANs) to detect anomalies in manually collected surveillance data in NPPs. More specifically, our GAN is trained to detect mismatches between automatically recorded sensor data and manually collected surveillance data, and hence, identify anomalous instances that can be attributed to HE. We test our GAN on both a real-world dataset and an external dataset obtained from a testbed, and we benchmark our results against state-of-the-art unsupervised anomaly detection algorithms, including one-class support vector machine and isolation forest. Our results show that the proposed GAN provides improved anomaly detection performance. Our study is promising for the future development of artificial intelligence based HE detection systems.

Development 2.0

Christina Soyeon Kang,Bhavya Lal 과학기술정책연구원 2010 STI Policy Review Vol.1 No.3

Screening of botanicals against the adults of rice weevil, Sitophilus oryzae L.

S. Rajashekara,R. Kiran,V. Bhavya,C. Chithrashree,V. Chaitra,Deepti Ravi Joshi,M. G. Venkatesha 한국잠사학회 2023 International Journal of Industrial Entomology Vol.47 No.1

Sitophilus oryzae L. (Rice Weevil) is a stored pest of rice that causes extensive loss throughout the world. We tested the leaf powders of 12 plant species viz., Chrysanthemum sp., Cinnamomum zeylanicum, Citrus grandis, Citrus limon, Gliricidia sepium, Gymnema sylvestre, Hemigraphis colorata, Michelia champaca, Moringa oleifera, Murraya koenigii, Polyalthia longifolia, and Sauropus androgynus at dosages of 1.00, 1.50, 2.00 and 3.00g against the adult rice weevil and mortality was recorded at 1, 2, 3, 5, 7, 12 and 2l days after treatment (DAT) by direct contact toxicity for their adulticidal effect. We observed 100 percent adult mortality in C. zevlanicum and M. koenigii among the tested leaf powders. In addition, the first-time tested H. colorata and S. androgynus also caused high mortality compared to other plants. All the plant powders caused moderate to high adult mortality. Hence, these plants could be effective botanical insecticides against S. oryzae as they comprise a potential source of bioactive chemicals and are generally free from toxicants. Applications of these natural derivatives in S. oryzae control could reduce the cost of control methods and storage of rice contamination. Therefore, the present study indicates that some plant extracts can be used as an alternative to toxic synthetic chemicals in the management of rice weevils.

Feature Selection and Hyper-Parameter Tuning for Optimizing Decision Tree Algorithm on Heart Disease Classification

Tsehay Admassu Assegie,Sushma S.J,Bhavya B.G,Padmashree S International Journal of Computer ScienceNetwork S 2024 International journal of computer science and netw Vol.24 No.2

In recent years, there are extensive researches on the applications of machine learning to the automation and decision support for medical experts during disease detection. However, the performance of machine learning still needs improvement so that machine learning model produces result that is more accurate and reliable for disease detection. Selecting the hyper-parameter that could produce the possible maximum classification accuracy on medical dataset is the most challenging task in developing decision support systems with machine learning algorithms for medical dataset classification. Moreover, selecting the features that best characterizes a disease is another challenge in developing machine-learning model with better classification accuracy. In this study, we have proposed an optimized decision tree model for heart disease classification by using heart disease dataset collected from kaggle data repository. The proposed model is evaluated and experimental test reveals that the performance of decision tree improves when an optimal number of features are used for training. Overall, the accuracy of the proposed decision tree model is 98.2% for heart disease classification.

Decoupling of Macromolecular Compositions of Particulate Organic Matters between the Water Columns and the Sediment in Geoje-Hansan Bay, South Korea

김형철,이재형,이원찬,홍석진,강재중,이다빈,조나은,P. S. Bhavya 한국해양과학기술원 2018 Ocean science journal Vol.53 No.4

The biochemical composition of particulate organic matter (POM) is very important to understand in relation to the trophic conditions of marine ecosystems since it forms the primary trophic base. The present study investigated the biochemical compositions (i.e., carbohydrates, proteins, and lipids) of POM monthly from January to December 2015 in Geoje-Hansan Bay to determine if the macromolecular composition of POM is coupled between the water columns and sediment. A spatial difference in the macromolecular compositions was observed in the water columns between the inner and outer bays, which may be caused by the different physiological conditions of phytoplankton growth that are due to the water circulation pattern in the bay. In contrast, no distinctive spatial difference in the macromolecular compositions was found in the sedimentary organic matter. Overall, while carbohydrates were the dominant (45.7%) macromolecules of the POM in the water columns, proteins were dominant (47.9%) in the sedimentary organic matter during our observation period. Decoupling of the macromolecular compositions between the water columns and underneath the sediment in Geoje-Hansan Bay appears to be a result of the various effects of selective filter feeding by oysters and protein-dominant benthic microalgae and fouling organisms.