Article
Geosciences, Multidisciplinary
Jiaoyang Su, Peter G. Strutton, Christina Schallenberg
Summary: Mesoscale eddies in the Southern Ocean play a key role in redistributing momentum, potential vorticity, heat, and salt, and also have an impact on subsurface biological structures. Eddy pumping, eddy-induced Ekman pumping, and deep vertical mixing are the main mechanisms sustaining high chlorophyll in eddies.
JOURNAL OF MARINE SYSTEMS
(2021)
Article
Oceanography
Peter G. G. Strutton, Thomas W. W. Trull, Helen E. E. Phillips, Earl R. R. Duran, Sylvia Pump
Summary: Eddies in the southeast Indian Ocean play a role in modulating open ocean productivity, with their impact depending on their source and evolution. These eddies can stimulate and sustain phytoplankton, allowing their effects to persist over long distances. Measurements from autonomous floats show that chlorophyll and particulate organic carbon become concentrated at the base of the mixed layer as eddies are transported westward. The subsurface biomass maxima in both anticyclonic and cyclonic eddies remain active over several months, suggesting a mechanism for long-distance transfer of eddy plankton communities not captured by satellite remote sensing.
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
(2023)
Article
Geochemistry & Geophysics
Qiwei Hu, Xiaoyan Chen, Yan Bai, Xianqiang He, Teng Li, Delu Pan
Summary: We propose a new method using satellite and biogeochemical Argo (BGC-Argo) data to retrieve the 3-D structure of chlorophyll alpha (Chla) in the northern Indian Ocean (NIO). The random forest (RF)-based method utilizes near-surface and vertical features to infer the vertical distribution of Chla. The RF-model is trained and evaluated using a large database, and the retrieved Chla values are in good agreement with the validation dataset.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Oceanography
Chiranjivi Jayaram, T. V. S. Udaya Bhaskar, Neethu Chacko, Satya Prakash, K. H. Rao
Summary: This study compared the surface and sub-surface chlorophyll-a structure of the Arabian Sea and the Bay of Bengal using Biogeochemical-Argo measurements, finding permanent deep chlorophyll maximum values and different variability modes. It also observed the phenomenon of sub-surface blooms in the pre-monsoon season in the Arabian Sea region.
DEEP-SEA RESEARCH PART II-TOPICAL STUDIES IN OCEANOGRAPHY
(2021)
Article
Environmental Sciences
Charlotte Begouen Demeaux, Emmanuel Boss
Summary: This study compared different algorithms for estimating the diffuse attenuation coefficient (K-d) using data from various satellites and measurements from autonomous profiling floats. The results showed that although the algorithms provided similar values to the floats, they produced statistically different distributions. The discrepancies were attributed to the limitations of the datasets used for algorithm development and the neglect of sun angle in some algorithms. The study highlights the importance of using comprehensive field-based datasets and considering sun angle for algorithm improvement.
Article
Oceanography
J. Uitz, C. Roesler, E. Organelli, H. Claustre, C. Penkerch, S. Drapeau, E. Leymarie, A. Poteau, C. Schmechtig, C. Dimier, J. Ras, X. Xing, S. Blain
Summary: The Southern Ocean is characterized by atypical bio-optical properties, which makes it challenging to interpret optical measurements obtained from satellite and in situ platforms. A ship-based field study and observations from BioGeoChemical-Argo profiling floats were used to investigate the spatial and temporal variations in bio-optical relationships in the Indian sector of the Southern Ocean. The study found consistent anomalies in chlorophyll-specific phytoplankton absorption and backscattering coefficient, which were correlated with phytoplankton size, photoacclimation, and nutrient levels.
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
(2023)
Article
Environmental Sciences
Arthur Capet, Guillaume Taburet, Evan Mason, Marie Isabelle Pujol, Marilaure Gregoire, Marie-Helene Rio
Summary: This study evaluates different altimetry data sets for the Black Sea and compares their suitability in characterizing subsurface oxygen and salinity signatures induced by eddies. The authors propose that the theoretical consistency and estimated error of the reconstructed mean anomaly can be used to assess the accuracy of gridded altimetry products, and that BGC-Argo data are valuable in this regard.
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Geosciences, Multidisciplinary
Marin Cornec, Remi Laxenaire, Sabrina Speich, Herve Claustre
Summary: Research shows that cyclonic eddies can increase the occurrence of Deep Chlorophyll Maxima (DCM) with high phytoplankton biomass, while anticyclonic eddies mainly affect DCM through photoacclimation without significant biomass accumulation. These findings suggest different impacts of the two types of eddies on the role of DCMs in global primary production.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
M. Cornec, H. Claustre, A. Mignot, L. Guidi, L. Lacour, A. Poteau, F. D'Ortenzio, B. Gentili, C. Schmechtig
Summary: Stratified oceanic systems have Deep Chlorophyll a Maximum (DCM) which can be either Deep Biomass Maximum (DBM) or Deep photoAcclimation Maximum (DAM). A global study using a dataset from over 500 Biogeochemical-Argo floats revealed that the seasonal dynamics of DCMs vary by region and are primarily influenced by light attenuation.
GLOBAL BIOGEOCHEMICAL CYCLES
(2021)
Article
Environmental Sciences
Eunho Ko, Maxim Y. Gorbunov, Jinyoung Jung, Youngju Lee, Kyoung-Ho Cho, Eun Jin Yang, Jisoo Park
Summary: Vertical distributions of phytoplankton in the Arctic Ocean are characterized by a very narrow subsurface chlorophyll maximum (SCM) layer formed every summer after the sea ice retreats. This study examined the photophysiological properties of phytoplankton in the SCM layer in the northern Chukchi Sea during the summers of 2015-2018. It was found that the SCM depth differed significantly between the northwestern and northeastern Chukchi Sea, and there was a decrease in the maximum quantum yield of photochemistry in photosystem II (F-v/F-m) in the phytoplankton in the northeastern Chukchi Sea.
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Geosciences, Multidisciplinary
Xiaogang Xing, Emmanuel Boss
Summary: This study proposes and validates a new model for more accurate estimation of underwater PAR profiles based on chlorophyll concentration. Through validation using a large dataset, the accuracy of satellite chlorophyll estimates worldwide and particularly in the Southern Ocean is confirmed.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Oceanography
Tetsuichi Fujiki, Shigeki Hosoda, Naomi Harada
Summary: This study conducted in situ observations to investigate the occurrence and termination mechanisms of phytoplankton blooms in the northwestern subarctic Pacific. The results showed that the summer blooms were induced by increased water temperature and available light, while the autumn blooms were likely triggered by Fe resupply from deeper waters and terminated by light limitation.
JOURNAL OF OCEANOGRAPHY
(2022)
Article
Ecology
Alexandre Mignot, Herve Claustre, Gianpiero Cossarini, Fabrizio D'Ortenzio, Elodie Gutknecht, Julien Lamouroux, Paolo Lazzari, Coralie Perruche, Stefano Salon, Raphaelle Sauzede, Vincent Taillandier, Anna Teruzzi
Summary: Numerical models of ocean biogeochemistry are key tools for detecting the impact of climate change on marine resources. A new method using clustering, assessment metrics, and BGC-Argo observations is proposed to provide information on model predictive skill. The method is applied to assess the performance of the Copernicus Marine Service's Global Ocean Biogeochemistry Analysis and Forecast system and identify areas for improvement. The study shows the benefits of synergistic use of modeling and BGC-Argo data for both model evaluation and observing system design.
Article
Geosciences, Multidisciplinary
Jiaoyang Su, Christina Schallenberg, Tyler Rohr, Peter G. Strutton, Helen E. Phillips
Summary: By integrating the oxygen profiles from biogeochemical Argo floats, we developed a novel approach to estimate annual net community production in the Southern Ocean. Our results suggest that the Southern Ocean plays a more important role in regulating oceanic carbon storage, atmospheric CO2 exchange, and climate than previously assumed.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Oceanography
Lina Yang, Raghu Murtugudde, Shaojun Zheng, Peng Liang, Wei Tan, Lei Wang, Baoxin Feng, Tianyu Zhang
Summary: The tropical Pacific currents were studied using gridded Argo data. Three branches of the South Equatorial Current (SEC) were identified, with different seasonal variations and westward propagation characteristics. A simple analytical Rossby wave model successfully simulated most of the seasonal variations, emphasizing the importance of first-mode baroclinic, linear Rossby waves. However, a nonlinear model involving higher baroclinic modes is suggested to explain certain variations in the central-east Pacific.
JOURNAL OF PHYSICAL OCEANOGRAPHY
(2022)
Article
Economics
Kun Wang, Jianqiang Chen
Summary: This paper examines the impact of fraud deterrence on firms' innovation outputs. The study finds that fraud deterrence is positively related to firms' innovation outputs, especially when there is high information asymmetry or employee turnover.
APPLIED ECONOMICS LETTERS
(2023)
Review
Chemistry, Physical
Yang Zhao, Jiazhao Huang, Jianqiang Chen, Youwen Liu, Tianyou Zhai
Summary: Two-dimensional transition metal dichalcogenides (TMDs) have shown excellent catalytic performance for hydrogen evolution and are considered suitable substitutes for commercial Pt-based catalysts. Chemical vapor deposition (CVD) is an important technique for synthesizing controllable and high-purity TMDs for electrocatalysis and electronic devices. Recent research progress in CVD-grown TMDs nanosheets for electrocatalytic hydrogen evolution, including synthesis factors and engineering strategies, has been presented in this review.
Article
Environmental Sciences
Xiaokun Ding, Jie Shi, Xinyu Guo, Huiwang Gao, Sumei Liu, Wei Guo
Summary: There is growing concern about the impact of human activities on the coastal nutrient cycle, but the interannual variations in response to anthropogenic nutrient input have been rarely studied. This study used a hydrodynamic-ecological model to analyze the interannual variations in the nutrient cycle in the central Bohai Sea. The results showed increasing trends in nitrogen levels, but no noticeable interannual variations in phosphorus levels. Atmospheric nitrogen deposition played a significant role in the nitrogen cycle, and sedimentation processes were responsible for removing most of the anthropogenic nitrogen inputs.
Article
Oceanography
Su Mei Liu, Wen Liang, Xinyu Guo, Nian Wu, Wuchang Zhang, Xiujuan Shan, Hua-De Zhao, Juying Wang, Jin Huang
Summary: Chinese continental margins are undergoing significant environmental changes due to anthropogenic activities and climate change. This study focuses on the Bohai as a case study and examines the impacts of multiple stressors on ecosystems and social interactions. The Bohai ecosystem has been extensively modified, with changes in the coastline, nutrient concentrations, and fishery resources. It is important to implement strict policies for coastline protection and pollution control, as well as measures like fishing bans and stock enhancement to mitigate these impacts.
Article
Environmental Sciences
Junying Zhu, Quanyi Zhou, Qianqing Zhou, Xinxing Geng, Jie Shi, Xinyu Guo, Yang Yu, Ziwei Yang, Renfu Fan
Summary: Coastal upwelling around Hainan Island has a significant impact on the physical environment, ecological environment, and fishery resources of the surrounding waters. The study analyzed the interannual variations of sea surface temperature (SST) around Hainan Island based on satellite observations from 2003 to 2021, focusing on the upwelling regions in Qiongdong and Qiongxi. The results showed warming trends in the upwelling regions, and the SST variations were influenced by factors such as wind stress curl, stratification, and bottom cold water in the Gulf of Tonkin.
FRONTIERS IN MARINE SCIENCE
(2023)
Article
Geosciences, Multidisciplinary
Junyong Zheng, Xinyu Guo, Haiyan Yang, Kailun Du, Xinyan Mao, Wensheng Jiang, Takuya Sagawa, Yasumasa Miyazawa, Sergey M. Varlamov, Ayako Abe-Ouchi, Wing-Le Chan
Summary: By using a simple box model, researchers reconstructed the sea surface salinity in the Japan Sea over the past 35 kyr and found that the sea experienced a low salinity event during the Last Glacial Maximum, with the minimum value occurring at 20 kyr BP. It was concluded that both the inflow transport and the sea surface freshwater flux determine the exact value and timing of minimum salinity.
PALEOCEANOGRAPHY AND PALEOCLIMATOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Xuedong He, Calvin Yu-Chian Chen
Summary: Most end-to-end discriminative trackers aim to improve performance by mining more representative target features, but it is challenging to obtain comprehensive features due to diverse challenges. To address this issue, we propose a novel feature enhancement module for richer and comprehensive feature representation, which is trainable end-to-end. Additionally, we use a metric learning method to devise a verifier for adaptive update of the sample memory and learning rate.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Chemistry, Physical
Ziduo Yang, Weihe Zhong, Qiujie Lv, Tiejun Dong, Calvin Yu -Chian Chen
Summary: This paper proposes a geometric interaction graph neural network (GIGN) that incorporates 3D structures and physical interactions for predicting protein-ligand binding affinities. GIGN achieves state-of-the-art performance on three external test sets, and the learned representations of protein-ligand complexes are biologically meaningful.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS
(2023)
Article
Computer Science, Artificial Intelligence
Xuedong He, Calvin Yu-Chian Chen
Summary: This paper proposes a lightweight feature separation and fusion module to improve the performance of discriminative trackers. Additionally, a target uncertain detection technique is designed to address the problem of tracking model corruption. Through comprehensive experimental evaluations, the results demonstrate the excellent performance of the proposed methods on seven public benchmarks.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Zhenchao Tang, Guanxing Chen, Hualin Yang, Weihe Zhong, Calvin Yu-Chian Chen
Summary: This article introduces a pluggable substructure interaction module called DSIL-DDI, which can learn domain-invariant representations of DDI from the source domain. It improves the generalization and interpretability of DDI prediction modeling and provides valuable insights for OOD DDI predictions.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Yiyang Yin, Shuangling Luo, Jun Zhou, Liang Kang, Calvin Yu-Chian Chen
Summary: Medical image segmentation is crucial for modern healthcare systems, especially in reducing surgical risks and planning treatments. Transanal total mesorectal excision (TaTME) has become an important method for treating colon and rectum cancers. Real-time instance segmentation during TaTME surgeries can assist surgeons in minimizing risks. However, the dynamic variations in TaTME images pose challenges for accurate instance segmentation.
Article
Computer Science, Artificial Intelligence
Jiehui Huang, Zhenchao Tang, Xuedong He, Jun Zhou, Defeng Zhou, Calvin Yu-Chian Chen
Summary: This study proposes a progressive learning multi-scale feature blending model for image deraining tasks. The model utilizes detail dilation and texture extraction to improve the restoration of rainy images. Experimental results show that the model achieves near state-of-the-art performance in rain removal tasks and exhibits better rain removal realism.
Article
Chemistry, Physical
Tiejun Dong, Ziduo Yang, Jun Zhou, Calvin Yu-Chian Chen
Summary: This article introduces a novel geometric graph network called FlexPose, which is capable of directly modeling flexible protein-ligand complex structures. The model outperforms popular docking tools and recent deep learning methods, especially in tasks involving protein conformation changes. It also provides affinity estimation and model confidence for post-analysis.
JOURNAL OF CHEMICAL THEORY AND COMPUTATION
(2023)
Article
Automation & Control Systems
Guanxing Chen, Haohuai He, Calvin Yu-Chian Chen
Summary: This study constructs a drug-target affinity dataset for two novel therapeutic targets for CRC and designs a deep learning-based MFAE model. The model simulates complex drug-target interactions through hierarchical feature extraction and multilevel feature aggregation and enhancement. Evaluation demonstrates the model's superior predictive accuracy, and fine-tuning enhances its performance. Two potential repurposing candidates are identified through virtual screening.
ADVANCED INTELLIGENT SYSTEMS
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jingwen Huang, Guanxing Chen, Haiqing Liu, Wei Jiang, Siyao Mai, Lingli Zhang, Hong Zeng, Shaoxu Wu, Calvin Yu-Chian Chen, Zhuo Wu
Summary: This study developed a non-invasive automated machine learning (AutoML) model to differentiate urothelial carcinoma with squamous differentiation (UC w/SD) from pure urothelial carcinoma (UC) in patients with muscle-invasive bladder carcinoma (MIBC). The model showed robust differentiation capabilities in both training and test sets, making it a potentially useful tool for pre-operative diagnosis.
EUROPEAN RADIOLOGY
(2023)
