Data Science for the Transformation of Environmental and Chemical Research and Development (English)
- New search for: Ren, Zhiyong Jason
- Further information on Ren, Zhiyong Jason:
-
https://orcid.org/0000-0001-7606-0331
- New search for: Lowry, Gregory V.
- Further information on Lowry, Gregory V.:
-
https://orcid.org/0000-0001-8599-008X
- New search for: Arnold, William A.
- New search for: Brooks, Bryan W.
- Further information on Brooks, Bryan W.:
-
https://orcid.org/0000-0002-6277-9852
- New search for: Gago-Ferrero, Pablo
- Further information on Gago-Ferrero, Pablo:
-
https://orcid.org/0000-0002-5987-0399
- New search for: Garcia, Jeannette M.
- Further information on Garcia, Jeannette M.:
-
https://orcid.org/0000-0002-8336-4592
- New search for: Leonard, Kevin C.
- New search for: Mills, Margaret
- New search for: Serrano, Julio F.
- Further information on Serrano, Julio F.:
-
https://orcid.org/0000-0002-7803-808X
- New search for: Wang, Shuxiao
- Further information on Wang, Shuxiao:
-
https://orcid.org/0000-0001-9727-1963
- New search for: Zimmerman, Julie B.
- Further information on Zimmerman, Julie B.:
-
https://orcid.org/0000-0002-5392-312X
- New search for: Ren, Zhiyong Jason
- Further information on Ren, Zhiyong Jason:
-
https://orcid.org/0000-0001-7606-0331
- New search for: Lowry, Gregory V.
- Further information on Lowry, Gregory V.:
-
https://orcid.org/0000-0001-8599-008X
- New search for: Arnold, William A.
- New search for: Brooks, Bryan W.
- Further information on Brooks, Bryan W.:
-
https://orcid.org/0000-0002-6277-9852
- New search for: Gago-Ferrero, Pablo
- Further information on Gago-Ferrero, Pablo:
-
https://orcid.org/0000-0002-5987-0399
- New search for: Garcia, Jeannette M.
- Further information on Garcia, Jeannette M.:
-
https://orcid.org/0000-0002-8336-4592
- New search for: Leonard, Kevin C.
- New search for: Mills, Margaret
- New search for: Serrano, Julio F.
- Further information on Serrano, Julio F.:
-
https://orcid.org/0000-0002-7803-808X
- New search for: Wang, Shuxiao
- Further information on Wang, Shuxiao:
-
https://orcid.org/0000-0001-9727-1963
- New search for: Zimmerman, Julie B.
- Further information on Zimmerman, Julie B.:
-
https://orcid.org/0000-0002-5392-312X
In:
Environmental Science & Technology
;
57
, 46
;
17663-17664
;
2023
- Article (Journal) / Electronic Resource
-
Title:Data Science for the Transformation of Environmental and Chemical Research and Development
-
Additional title:Environ. Sci. Technol.
-
Contributors:Ren, Zhiyong Jason ( author ) / Lowry, Gregory V. ( author ) / Arnold, William A. ( author ) / Brooks, Bryan W. ( author ) / Gago-Ferrero, Pablo ( author ) / Garcia, Jeannette M. ( author ) / Leonard, Kevin C. ( author ) / Mills, Margaret ( author ) / Serrano, Julio F. ( author ) / Wang, Shuxiao ( author )
-
Published in:Environmental Science & Technology ; 57, 46 ; 17663-17664
-
Publisher:
- New search for: American Chemical Society
-
Publication date:2023-11-21
-
ISSN:
-
Coden:
-
DOI:
-
Type of media:Article (Journal)
-
Type of material:Electronic Resource
-
Language:English
-
Source:
Table of contents – Volume 57, Issue 46
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 17661
-
Data Science for Advancing Environmental Science, Engineering, and TechnologyRen, Zhiyong Jason / Lowry, Gregory V. / Boehm, Alexandria B. / Brooks, Bryan W. / Gago-Ferrero, Pablo / Jiang, Guibin / Jones, Gerrad D. / Liu, Qian / Wang, Shuxiao / Zimmerman, Julie B. et al. | 2023
- 17663
-
Data Science for the Transformation of Environmental and Chemical Research and DevelopmentRen, Zhiyong Jason / Lowry, Gregory V. / Arnold, William A. / Brooks, Bryan W. / Gago-Ferrero, Pablo / Garcia, Jeannette M. / Leonard, Kevin C. / Mills, Margaret / Serrano, Julio F. / Wang, Shuxiao et al. | 2023
- 17665
-
Advancing the Use of Fecal Sludge for Timelier and Better-Quality Epidemiological Data in Low- and Middle-Income Countries for Pandemic PreventionChigwechokha, Petros / Street, Renée / Holm, Rochelle H. et al. | 2023
- 17667
-
ChatGPT and Environmental ResearchZhu, Jun-Jie / Jiang, Jinyue / Yang, Meiqi / Ren, Zhiyong Jason et al. | 2023
- 17671
-
Machine Learning in Environmental Research: Common Pitfalls and Best PracticesZhu, Jun-Jie / Yang, Meiqi / Ren, Zhiyong Jason et al. | 2023
- 17690
-
Advancing Computational Toxicology by Interpretable Machine LearningJia, Xuelian / Wang, Tong / Zhu, Hao et al. | 2023
- 17707
-
Attribution of Air Quality Benefits to Clean Winter Heating Policies in China: Combining Machine Learning with Causal InferenceSong, Congbo / Liu, Bowen / Cheng, Kai / Cole, Matthew A. / Dai, Qili / Elliott, Robert J. R. / Shi, Zongbo et al. | 2023
- 17718
-
Insight into the Mechanism and Kinetics of the Heterogeneous Reaction between SO2 and NO2 on Diesel Black Carbon under Light IrradiationZhang, Peng / Wang, Yonghong / Chen, Tianzeng / Yu, Yunbo / Ma, Qingxin / Liu, Changgeng / Li, Hao / Chu, Biwu / He, Hong et al. | 2023
- 17727
-
Exceptional Ozone Decomposition over δ‑MnO2/AC under an Entire Humidity EnvironmentDai, Wenjing / Zhang, Boge / Ji, Jian / Liu, Biyuan / Xie, Ruijie / Gan, Yanling / Xie, Xiaowen / Zhang, Jiarui / Huang, Pingli / Huang, Haibao et al. | 2023
- 17737
-
Virus Dynamics and Decay in Evaporating Human Saliva Droplets on FomitesKong, Zi-Meng / Sandhu, Harpal Singh / Qiu, Lu / Wu, Jicheng / Tian, Wen-Jun / Chi, Xiao-Jing / Tao, Zhi / Yang, Chi-Fu Jeffrey / Wang, Xiao-Jia et al. | 2023
- 17751
-
Accurate Prediction of Soil Heavy Metal Pollution Using an Improved Machine Learning Method: A Case Study in the Pearl River Delta, ChinaZhao, Wenhao / Ma, Jin / Liu, Qiyuan / Dou, Lei / Qu, Yajing / Shi, Huading / Sun, Yi / Chen, Haiyan / Tian, Yuxin / Wu, Fengchang et al. | 2023
- 17762
-
Investigation of the Binding Fraction of PFAS in Human Plasma and Underlying Mechanisms Based on Machine Learning and Molecular Dynamics SimulationCao, Huiming / Peng, Jianhua / Zhou, Zhen / Yang, Zeguo / Wang, Ling / Sun, Yuzhen / Wang, Yawei / Liang, Yong et al. | 2023
- 17774
-
The Association Between Microplastics and Microbiota in Placentas and Meconium: The First Evidence in HumansLiu, Shaojie / Liu, Xinyuan / Guo, Jialin / Yang, Ruoru / Wang, Hangwei / Sun, Yongyun / Chen, Bo / Dong, Ruihua et al. | 2023
- 17786
-
Using Machine Learning to Predict Adverse Effects of Metallic Nanomaterials to Various Aquatic OrganismsZhou, Yunchi / Wang, Ying / Peijnenburg, Willie / Vijver, Martina G. / Balraadjsing, Surendra / Fan, Wenhong et al. | 2023
- 17796
-
Exposure to Intermittent Environmental Hypoxia Promotes Vascular Remodeling through Angiogenesis in the Liver of Largemouth Bass (Micropterus salmoides)Yan, Haoxiao / Zhao, Liulan / He, Qishuang / Hu, Yifan / Li, Quanxi / He, Kuo / Zhang, Dongmei / Liu, Qiao / Luo, Jie / Luo, Wei et al. | 2023
- 17808
-
Associations of Urinary Phthalate Metabolites with Thyroid Function and the Mediated Role of Cytokines: A Panel Study of Healthy ChildrenYang, Huihua / Zheng, Yuming / Lai, Xuefeng / Zhao, Lei / Liu, Linlin / Liu, Miao / Guo, Wenting / Yang, Liangle / Fang, Qin / Zhu, Kejing et al. | 2023
- 17818
-
The Bigger Fish: A Comparison of Meta-Learning QSAR Models on Low-Resourced Aquatic Toxicity Regression TasksSchlender, Thalea / Viljanen, Markus / van Rijn, Jan N. / Mohr, Felix / Peijnenburg, Willie JGM. / Hoos, Holger H. / Rorije, Emiel / Wong, Albert et al. | 2023
- 17831
-
Understanding and Designing a High-Performance Ultrafiltration Membrane Using Machine LearningGao, Haiping / Zhong, Shifa / Dangayach, Raghav / Chen, Yongsheng et al. | 2023
- 17841
-
Machine Learning Guided Polyamide Membrane with Exceptional Solute–Solute Selectivity and PermeanceDeng, Hao / Luo, Zhiyao / Imbrogno, Joe / Swenson, Tim M. / Jiang, Zhongyi / Wang, Xiaonan / Zhang, Sui et al. | 2023
- 17851
-
Exploring the Knowledge Attained by Machine Learning on Ion Transport across Polyamide Membranes Using Explainable Artificial IntelligenceJeong, Nohyeong / Epsztein, Razi / Wang, Ruoyu / Park, Shinyun / Lin, Shihong / Tong, Tiezheng et al. | 2023
- 17863
-
Prioritizing the Best Potential Regions for Brine Concentration Systems in the USA Using GIS and Multicriteria Decision AnalysisCaceres Gonzalez, Rodrigo A. / Hatzell, Marta C. et al. | 2023
- 17876
-
Machine Learning Predicts the Methane Clumped Isotopologue (12CH2D2) Distributions Constrain Biogeochemical Processes and Estimates the Potential BudgetWang, Xinchu / Liu, Cong-Qiang / Yi, Yuanbi / Zeng, Meiling / Li, Si-Liang / Niu, Xueqi et al. | 2023
- 17889
-
Exploring the Complexities of Dissolved Organic Matter Photochemistry from the Molecular Level by Using Machine Learning ApproachesZhao, Chen / Xu, Xinyue / Chen, Hongmei / Wang, Fengwen / Li, Penghui / He, Chen / Shi, Quan / Yi, Yuanbi / Li, Xiaomeng / Li, Siliang et al. | 2023
- 17900
-
Unraveling the Linkages between Molecular Abundance and Stable Carbon Isotope Ratio in Dissolved Organic Matter Using Machine LearningYi, Yuanbi / Liu, Tongcun / Merder, Julian / He, Chen / Bao, Hongyan / Li, Penghui / Li, Siliang / Shi, Quan / He, Ding et al. | 2023
- 17910
-
Anammox Coupled with Photocatalyst for Enhanced Nitrogen Removal and the Activated Aerobic Respiration of Anammox Bacteria Based on cbb3-Type Cytochrome c OxidaseZhang, Li / Dong, Tingjun / Yang, Jiachun / Hao, Shiwei / Sun, Zaicheng / Peng, Yongzhen et al. | 2023
- 17920
-
Roles of Chloride and Sulfate Ions in Controlling Cadmium Transport in a Soil-Rice System as Evidenced by the Cd Isotope FingerprintZhong, Songxiong / Fang, Liping / Li, Xiaomin / Liu, Tongxu / Wang, Pei / Gao, Ruichuan / Chen, Guojun / Yin, Haoming / Yang, Yang / Huang, Fang et al. | 2023
- 17930
-
Know Before You Go: Data-Driven Beach Water Quality ForecastingSearcy, Ryan T. / Boehm, Alexandria B. et al. | 2023
- 17940
-
Interpretation and Prediction of the CO2 Sequestration of Steel Slag by Machine LearningHe, Bingyang / Zhu, Xingyu / Cang, Zhizhi / Liu, Yang / Lei, Yuxin / Chen, Zhaohou / Wang, Yanlin / Zheng, Yongchao / Cang, Daqiang / Zhang, Lingling et al. | 2023
- 17950
-
From Molecular Descriptors to Intrinsic Fish Toxicity of Chemicals: An Alternative Approach to Chemical PrioritizationSamanipour, Saer / O’Brien, Jake W. / Reid, Malcolm J. / Thomas, Kevin V. / Praetorius, Antonia et al. | 2023
- 17959
-
Improved Decision Making for Water Lead Testing in U.S. Child Care Facilities Using Machine-Learned Bayesian NetworksMulhern, Riley E. / Kondash, AJ / Norman, Ed / Johnson, Joseph / Levine, Keith / McWilliams, Andrea / Napier, Melanie / Weber, Frank / Stella, Laurie / Wood, Erica et al. | 2023
- 17971
-
Prediction of Photochemical Properties of Dissolved Organic Matter Using Machine LearningLiao, Zhiyang / Lu, Jinrong / Xie, Kunting / Wang, Yi / Yuan, Yong et al. | 2023
- 17981
-
Real-Time Sensor Data Profile-Based Deep Learning Method Applied to Open Raceway Pond Microalgal Productivity PredictionIgou, Thomas / Zhong, Shifa / Reid, Elliot / Chen, Yongsheng et al. | 2023
- 17990
-
Machine Learning Models for Inverse Design of the Electrochemical Oxidation Process for Water PurificationSun, Ye / Zhao, Zhiyuan / Tong, Hailong / Sun, Baiming / Liu, Yanbiao / Ren, Nanqi / You, Shijie et al. | 2023
- 18001
-
Predicting Monthly Community-Level Radon Concentrations with Spatial Random Forest in the Northeastern and Midwestern United StatesLi, Longxiang / Stern, Rebeca Ariel / Garshick, Eric / Zilli Vieira, Carolina L. / Coull, Brent / Koutrakis, Petros et al. | 2023
- 18013
-
EDC-Predictor: A Novel Strategy for Prediction of Endocrine-Disrupting Chemicals by Integrating Pharmacological and Toxicological ProfilesYu, Zhuohang / Wu, Zengrui / Zhou, Moran / Cao, Kangjia / Li, Weihua / Liu, Guixia / Tang, Yun et al. | 2023
- 18026
-
Abiotic Reduction of Organic and Inorganic Compounds by Fe(II)-Associated Reductants: Comprehensive Data Sets and Machine Learning ModelingGao, Yidan / Zhong, Shifa / Zhang, Kai / Zhang, Huichun et al. | 2023
- 18038
-
Exogenous Chemicals Impact Virus Receptor Gene Transcription: Insights from Deep LearningLiu, Xian / Guo, Yunhe / Pan, Wenxiao / Xue, Qiao / Fu, Jianjie / Qu, Guangbo / Zhang, Aiqian et al. | 2023
- 18048
-
Deep-Learning-Based Automated Tracking and Counting of Living Plankton in Natural Aquatic EnvironmentsChen, Zhuo / Du, Meng / Yang, Xu-Dan / Chen, Wei / Li, Yu-Sheng / Qian, Chen / Yu, Han-Qing et al. | 2023
- 18058
-
Machine Learning-Assisted, Process-Based Quality Control for Detecting Compromised Environmental SensorsSchmidt, Jacquelyn Q. / Kerkez, Branko et al. | 2023
- 18067
-
Machine Learning-Based Hazard-Driven Prioritization of Features in Nontarget Screening of Environmental High-Resolution Mass Spectrometry DataArturi, Katarzyna / Hollender, Juliane et al. | 2023
- 18080
-
Iterative Approach of Experiment–Machine Learning for Efficient Optimization of Environmental Catalysts: An Example of NO x Selective Reduction CatalystsChen, Yulong / Feng, Jia / Wang, Xin / Zhang, Cheng / Ke, Dongfang / Zhu, Huiyan / Wang, Shuai / Suo, Hongri / Liu, Chongxuan et al. | 2023
- 18091
-
Reduced Order Machine Learning Models for Accurate Prediction of CO2 Capture in Physical SolventsMehtab, Vazida / Alam, Shadab / Povari, Sangeetha / Nakka, Lingaiah / Soujanya, Yarasi / Chenna, Sumana et al. | 2023
- 18104
-
Toward Advancing Precision Environmental Health: Developing a Customized Exposure Burden Score to PFAS Mixtures to Enable Equitable Comparisons Across Population Subgroups, Using Mixture Item Response TheoryLiu, Shelley H. / Feuerstahler, Leah / Chen, Yitong / Braun, Joseph M. / Buckley, Jessie P. et al. | 2023
- 18116
-
A Temporal Graph Model to Predict Chemical Transformations in Complex Dissolved Organic MatterPlamper, Philipp / Lechtenfeld, Oliver J. / Herzsprung, Peter / Groß, Anika et al. | 2023
- 18127
-
Deep Learning-Enabled Morphometric Analysis for Toxicity Screening Using Zebrafish LarvaeDong, Gongqing / Wang, Nan / Xu, Ting / Liang, Jingyu / Qiao, Ruxia / Yin, Daqiang / Lin, Sijie et al. | 2023
- 18139
-
Machine Learning Assisted Discovery of Interactions between Pesticides, Phthalates, Phenols, and Trace Elements in Child NeurodevelopmentMidya, Vishal / Alcala, Cecilia Sara / Rechtman, Elza / Gregory, Jill K. / Kannan, Kurunthachalam / Hertz-Picciotto, Irva / Teitelbaum, Susan L. / Gennings, Chris / Rosa, Maria J. / Valvi, Damaskini et al. | 2023
- 18151
-
Predicting Atmospheric Water-Soluble Organic Mass Reversibly Partitioned to Aerosol Liquid Water in the Eastern United StatesEl-Sayed, Marwa M. H. / Parida, Siddharth S. / Shekhar, Prashant / Sullivan, Amy / Hennigan, Christopher J. et al. | 2023
- 18162
-
Wide-Area Debris Field and Seabed Characterization of a Deep Ocean Dump Site Surveyed by Autonomous Underwater VehiclesMerrifield, Sophia T. / Celona, Sean / McCarthy, Ryan A. / Pietruszka, Andrew / Batchelor, Heidi / Hess, Robert / Nager, Andrew / Young, Raymond / Sadorf, Kurt / Levin, Lisa A. et al. | 2023
- 18172
-
Increasing Nonfossil Fuel Contributions to Atmospheric Nitrate in Urban China from Observation to PredictionFan, Mei-Yi / Hong, Yihang / Zhang, Yan-Lin / Sha, Tong / Lin, Yu-Chi / Cao, Fang / Guo, Hai et al. | 2023
- 18183
-
Interpreting Highly Variable Indoor PM2.5 in Rural North China Using Machine LearningMen, Yatai / Li, Yaojie / Luo, Zhihan / Jiang, Ke / Yi, Fan / Liu, Xinlei / Xing, Ran / Cheng, Hefa / Shen, Guofeng / Tao, Shu et al. | 2023
- 18193
-
Count-Based Morgan Fingerprint: A More Efficient and Interpretable Molecular Representation in Developing Machine Learning-Based Predictive Regression Models for Water Contaminants’ Activities and PropertiesZhong, Shifa / Guan, Xiaohong et al. | 2023
- 18203
-
Automatic Identification of Individual Nanoplastics by Raman Spectroscopy Based on Machine LearningXie, Lifang / Luo, Siheng / Liu, Yangyang / Ruan, Xuejun / Gong, Kedong / Ge, Qiuyue / Li, Kejian / Valev, Ventsislav Kolev / Liu, Guokun / Zhang, Liwu et al. | 2023
- 18215
-
A Novel Domain Knowledge-Informed Machine Learning Approach for Modeling Solid Waste Management SystemsHe, Rui / Small, Mitchell J. / Scott, Ian J. / Olarinre, Motolani / Sandoval-Reyes, Mexitli / Ferrão, Paulo et al. | 2023
- 18225
-
Networking Chemicals Flows: Efficiency–Value–Environment Functionalized Symbiosis Algorithms and ApplicationLyu, Yizheng / Feng, Zhuoer Andrew / Ji, Tianshu / Tian, Jinping / Chen, Lyujun et al. | 2023
- 18236
-
A Graph Neural Network Model with a Transparent Decision-Making Process Defines the Applicability Domain for Environmental Estrogen ScreeningFan, Fan / Wu, Gang / Yang, Yining / Liu, Fu / Qian, Yuli / Yu, Qingmiao / Ren, Hongqiang / Geng, Jinju et al. | 2023
- 18246
-
Graph Machine Learning for Improved Imputation of Missing Tropospheric Ozone DataBetancourt, Clara / Li, Cathy W. Y. / Kleinert, Felix / Schultz, Martin G. et al. | 2023
- 18259
-
Potential for Machine Learning to Address Data Gaps in Human Toxicity and Ecotoxicity Characterizationvon Borries, Kerstin / Holmquist, Hanna / Kosnik, Marissa / Beckwith, Katie V. / Jolliet, Olivier / Goodman, Jonathan M. / Fantke, Peter et al. | 2023
- 18271
-
Using Explainable Machine Learning to Interpret the Effects of Policies on Air Pollution: COVID-19 Lockdown in LondonMa, Liang / Graham, Daniel J. / Stettler, Marc E. J. et al. | 2023
- 18282
-
Separating Daily 1 km PM2.5 Inorganic Chemical Composition in China since 2000 via Deep Learning Integrating Ground, Satellite, and Model DataWei, Jing / Li, Zhanqing / Chen, Xi / Li, Chi / Sun, Yele / Wang, Jun / Lyapustin, Alexei / Brasseur, Guy Pierre / Jiang, Mengjiao / Sun, Lin et al. | 2023
- 18296
-
Nontarget Chemical Composition of Surface Waters May Reflect Ecosystem Processes More than Discrete Source ContributionsShi, Cheng / Mahadwar, Gouri / Dávila-Santiago, Emmanuel / Bambakidis, Ted / Crump, Byron C. / Jones, Gerrad D. et al. | 2023
- 18306
-
Metabolite Cross-Feeding Promoting NADH Production and Electron Transfer during Efficient SMX Biodegradation by a Denitrifier and S. oneidensis MR‑1 in the Presence of NitrateZhao, Chunxia / Duan, Xu / Liu, Chao / Huang, Haining / Wu, Meirou / Zhang, Xuemeng / Chen, Yinguang et al. | 2023
- 18317
-
Development, Evaluation, and Application of Machine Learning Models for Accurate Prediction of Root Uptake of Per- and Polyfluoroalkyl SubstancesXiang, Lei / Qiu, Jing / Chen, Qian-Qi / Yu, Peng-Fei / Liu, Bai-Lin / Zhao, Hai-Ming / Li, Yan-Wen / Feng, Nai-Xian / Cai, Quan-Ying / Mo, Ce-Hui et al. | 2023
- 18329
-
Predicting Groundwater PFOA Exposure Risks with Bayesian Networks: Empirical Impact of Data Preprocessing on Model PerformanceLi, Runwei / Gibson, Jacqueline MacDonald et al. | 2023
- 18339
-
Ocean Stratification Impacts on Dissolved Polycyclic Aromatic Hydrocarbons (PAHs): From Global Observation to Deep LearningLiu, Mengyang / Zheng, Haowen / Cai, Minggang / Leung, Kenneth. M. Y. / Li, Yifan / Yan, Meng / Zhang, Zifeng / Zhang, Kai / Chen, Meng / Ke, Hongwei et al. | 2023
- 18350
-
Functional Redundancy Secures Resilience of Chain Elongation Communities upon pH Shifts in Closed Bioreactor EcosystemsLiu, Bin / Sträuber, Heike / Centler, Florian / Harms, Hauke / da Rocha, Ulisses Nunes / Kleinsteuber, Sabine et al. | 2023
- 18362
-
Integrated Energy Flexibility Management at Wastewater Treatment FacilitiesBolorinos, Jose / Mauter, Meagan S. / Rajagopal, Ram et al. | 2023
- 18372
-
Integrating Bio-Electrochemical Sensors and Machine Learning to Predict the Efficacy of Biological Nutrient Removal Processes at Water Resource Recovery FacilitiesEmaminejad, Seyed Aryan / Sparks, Jeff / Cusick, Roland D. et al. | 2023
- 18382
-
Systematic Performance Evaluation of Reinforcement Learning Algorithms Applied to Wastewater Treatment Control OptimizationCroll, Henry C. / Ikuma, Kaoru / Ong, Say Kee / Sarkar, Soumik et al. | 2023