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The article presents the findings of the study by Mikhail Noginov of Norfolk State University in Virginia and his colleagues which examines whether nanoparticles might serve as nanometer-scale resonators working at visible wavelengths. The researchers use visible light to excite free electrons in hybrid nanoparticles and found that the vibrating electrons form oscillations called surface plasmons can support stimulated emission.

The article reports on the fifty-second conference of the American Association for Public Opinion Research held on May 15-18, 1997 in Norfolk, Virginia. The conference focused on the future of survey research on new methods of data collection, problems in maintaining response rates, and the latest methods for developing questionnaires. And there were many papers on that highly visible test of the accuracy of surveys related with the presidential elections. The session, entitled "Controversies in Pre-Election Polling," featured researchers C. Everett Ladd, Kathy Frankovic, Frank Newport, and John Zogby. Frank Newport, from the Gallup Organization, led off the session. He presented statistics on the margin of error in the presidential poll results going back to the 1940s. Several other sessions concerned the problems and impact of different modes of data collection. Two of these focused on the latest technology for doing surveys, the uses of the Internet for collecting data and disseminating the results. Two other sessions explored the impact of computer-assisted interviewing.

Introduction: Demand for urgent and emergency health care in England has grown over the last decade, for reasons that are not clear. Changes in population demographics may be a cause. This study investigated associations between individuals' characteristics (including socioeconomic deprivation and long term health conditions (LTC)) and the frequency of emergency department (ED) attendances, in the Norfolk and Waveney subregion of the East of England. Methods: The study population was people who were registered with 91 of 106 Norfolk and Waveney general practices during one year from 1 April 2022 to 31 March 2023. Linked primary and secondary care and geographical data included each individual's sociodemographic characteristics, and number of ED attendances during the same year and, for some individuals, LTCs and number of general practice (GP) appointments. Associations between these factors and ED attendances were estimated using Poisson regression models. Results: 1,027,422 individuals were included of whom 57.4% had GP data on the presence or absence of LTC, and 43.1% had both LTC and general practitioner appointment data. In the total population ED attendances were more frequent in individuals aged under five years, (adjusted Incidence Rate Ratio (IRR) 1.25, 95% confidence interval 1.23 to 1.28) compared to 15–35 years); living in more socioeconomically deprived areas (IRR 0.61 (0.60 to 0.63)) for least deprived compared to most deprived,and living closer to the nearest ED. Among individuals with LTC data, each additional LTC was also associated with increased ED attendances (IRR 1.16 (1.15 to 1.16)). Among individuals with LTC and GP appointment data, each additional GP appointment was also associated with increased ED attendances (IRR 1.03 (1.026 to 1.027)). Conclusions: In the Norfolk and Waveney population, ED attendance rates were higher for young children and individuals living in more deprived areas and closer to EDs. In individuals with LTC and GP appointment data, both factors were also associated with higher ED attendance. [ABSTRACT FROM AUTHOR]

Indication-specific optimum field-of-views (FOVs) have been assessed for CBCT scans of impacted maxillary canines and mandibular third molars, as 40∅ × 35 mm and 35∅ × 35 mm, respectively. The objective was to investigate possible changes in absorbed organs and effective doses, for these two imaging indications, performing CBCT examinations with optimum FOV sizes instead of commonly used FOVs. Additionally, radiation exposure-induced cancer risk was calculated for both imaging indications with optimum FOVs. An adult female head phantom (ATOM 702-D, CIRS, Norfolk, VA, USA) was scanned using Planmeca Viso G7 CBCT-device (Planmeca, Helsinki, Finland). Scanning factors, different FOV sizes, dose-area product (DAP) values and anatomical FOV locations were used for Monte Carlo PCXMC-simulation and ImpactMC software. In the PCXMC- simulation, 10-year-old child and 30-year-old adult phantoms were used to estimating effective and absorbed organ doses. The effective dose varied from 58 µSv to 284 µSv for impacted maxillary canines, and from 38 µSv to 122 µSv for mandibular third molars, the lowest dose value for each corresponding to optimum FOV. Effective dose reduction between the optimum FOV and the smallest common FOV of 50∅ × 50 mm, maintaining other scanning factors constant, was 33% for impacted maxillary canines, and 45% for mandibular third molars. At all examinations, the highest absorbed organ doses were in salivary glands or in oral mucosa. Optimum FOVs, 40∅ × 35 mm for impacted maxillary canine and 35∅ × 35 mm for mandibular third molar, could decrease effective doses received by young patients, and improve radiation safety in these common CBCT imaging procedures. [ABSTRACT FROM AUTHOR]

The article reports on the 1997 annual meeting of the American Association for Public Opinion Research (AAPOR) called into session by vice president and president-elect James Beniger on May 17, 1997 in Norfolk, Virginia. Beniger thanked the outgoing AAPOR Council and president Diane Colasanto for their efforts, particularly in pursuing the standards case and in publishing "Best Practices for Survey and Public Opinion Research" and "Survey Practices AAPOR Condemns." Incoming secretary-treasurer Mark Schutman reported that the organization appears to be in good financial shape but that it is likely to run a small deficit when the books are closed on June 30, 1997. He noted that it is not possible to estimate final income and expenses at this time, because the conference results are not yet included in the tallies. There were several reasons for the possible deficit. The Council authorized two additional expenditures this year. The AAPOR Secretariat computer was upgraded in a one-time expenditure. The Council also authorized adding a half-time position to the secretariat, an ongoing expense.

Due to the various hazards of using synthetic chemical compounds in pharmaceutics, agriculture, and industry, scientists and researchers do their best to explore and assess new green natural compounds from natural resources with potent activity. The essential oil (EO) from the resin collected from Araucaria heterophylla Salisb. was extracted by the microwave technique and chemically characterized via GC-MS analysis. Furthermore, the extract EO was assessed for its antioxidant and phytotoxic activities. The EO has 33 compounds, mainly terpenes (98.23%), and the major compounds were α-pinene (62.57%), β-pinene (6.60%), germacrene D (5.88%), and β-caryophyllene (3.56%). The extracted EO showed substantial antioxidant activity, where it showed IC50 values of 142.42 and 118.03 mg L−1 for DPPH and ABTS, respectively. On the other hand, the EO revealed considerable phytotoxicity against the weed Chenopodium murale, where the EO showed IC50 values of 304.0, 230.1, and 147.1 mg L−1, for seed germination, seedling shoot growth, and seedling root growth, respectively. Moreover, the EO showed the same pattern of allelopathic inhibition against the weed Sonchus oleraceus, where it showed IC50 values of 295.7, 224.5, and 106.1 mg L−1, for seed germination, seedling shoot growth, and seedling root growth, respectively. The present study showed that the extraction technique affects the constituents of the EO, particularly the quantitative composition. The EO of A. heterophylla resin also revealed considerable antioxidant and phytotoxic activity against weeds. Therefore, it can be considered a promising natural resource that could be integrated into the weed management approach. However, further study is recommended for deep characterization of their authentic compounds and evaluation of their mode of action(s) on a wide spectrum of weeds. [ABSTRACT FROM AUTHOR]

Low-lying coastal cities across the world are vulnerable to the combined impact of rainfall and storm tide. However, existing approaches lack the ability to model the combined effect of these flood mechanisms, especially under climate change and sea level rise (SLR). Thus, to increase flood resilience of coastal cities, modeling techniques to improve the understanding and prediction of the combined effect of these flood hazards are critical. To address this need, this study presents a modeling system for assessing the combined flood impact on coastal cities under selected future climate scenarios that leverages ocean modeling with land surface modeling capable of resolving urban drainage infrastructure within the city. The modeling approach is demonstrated in quantifying the impact of possible future climate scenarios on transportation infrastructure within Norfolk, Virginia, USA. A series of combined storm events are modeled for current (2020) and projected future (2070) climate scenarios. The results show that pluvial flooding causes a larger interruption to the transportation network compared to tidal flooding under current climate conditions. By 2070, however, tidal flooding will be the dominant flooding mechanism with even nuisance flooding expected to happen daily due to SLR. In 2070, nuisance flooding is expected to cause a 4.6% total link close time (TLC), which is more than two times that of a 50-year storm surge (1.8% TLC) in 2020. The coupled flood model was compared with a widely used but physically simplistic bathtub method to assess the difference resulting from the more complex modeling presented in this study. The results show that the bathtub method overestimated the flooded area near the shoreline by 9.5% and 3.1% for a 10-year storm surge event in 2020 and 2070, respectively, but underestimated the flooded area in the inland region by 9.0% and 4.0% for the same events. The findings demonstrate the benefit of sophisticated modeling methods compared to more simplistic bathtub approaches, in climate adaptive planning and policy in coastal communities. [ABSTRACT FROM AUTHOR]

Background: Hand oedema is a common consequence of hand trauma or surgery. There are numerous methods to reduce hand oedema but lack high-quality evidence to support best practice. The primary objective of this pilot trial was to assess study feasibility when comparing treatments for subacute hand oedema after trauma. Methods: A parallel two-arm pilot randomised controlled trial was conducted in the hand therapy department at a regional hospital in Norfolk between October 2017 and July 2018. Patients were eligible if 18 years or over, referred to hand therapy with subacute hand oedema. Randomisation was on a 1:1 basis to treatment as usual (TAU) (compression, elevation and massage) or trial treatment (TT) (kinesiology tape, elevation and massage). One blinded assessor completed all assessments (prior to randomisation, 4 and 12 weeks later). Data on study feasibility, adherence and acceptability of treatments were collected. The primary outcome measure was hand volume (volumetry). Patient-rated severity (0–5 Likert scale), hand health profile of the Patient Evaluation Measure (PEM) and quality of life (EQ-5D-5L) were also recorded. Results: Forty-five patients were screened for eligibility and 26 consented and were randomised with 13 patients in each treatment arm. Twelve participants were lost to follow-up leaving 7 participants in each group included in the analysis. Assessor blinding was maintained in 64% of participants (9/14). Total mean acceptability scores, out of 100, were higher for TAU (87.9) than TT (76.1). Health resource use results showed TT was marginally cheaper (~£2 per patient) than TAU. Individual adherence ranged between 39 and 100%, with higher levels of overall adherence seen in the TAU group. Four participants (28%) reported adverse effects (TT group n = 3, TAU group n = 1). Conclusion: This pilot trial has identified that modifications are required in order to make a full-scale trial feasible. They include a formal assessment of treatment fidelity, research staff assisting with screening and recruitment of participants and multiple blinded assessors at each study site. Whilst not designed as an efficacy trial, it should be acknowledged that the small sample size and high loss to follow-up meant very small numbers were included in the final analysis resulting in wide confidence intervals and therefore low precision in parameter estimates. Trial registration: International Standard Randomised Controlled Trial Number: 94083271. Date of registration 16th August 2017. Trial funding: National Institute for Health Research Trainees Co-ordinating Centre (TCC); Grant Codes: CDRF-2014-05-064 [ABSTRACT FROM AUTHOR]

This paper presents the observations of cone penetration testing (CPT), in situ vane shear testing and undrained triaxial testing of underconsolidated marine clay in the Craney Island Dredged Material Management Area (CIDMMA), Norfolk, VA. Comparison of vane shear measurements, taken during 1981–1983, to CPT measurements, taken during 1993, indicates a change in undrained shear strength. Both the vane shear and cone penetration resistances are lowest at the mid-heights of the clay layers and the excess pore water pressures are highest at the mid-height of the clay layers, indicating that the clay layer is underconsolidated. [Copyright &y& Elsevier]

Traffic signal mast arm structures must be regularly inspected for cracking, bolt loosening, and other signs of deterioration. Due to large inventories, physical inspections and/or dedicated monitoring systems can be prohibitively time-consuming and expensive to implement at a large scale. However, the growing use of vision-based methods for structural monitoring applications introduces the possibility of leveraging video footage from existing traffic cameras for this purpose. The extraction of dynamic properties (i.e., natural frequencies and damping) from this footage could be employed in detecting possible signs of deterioration. This study presents a vision-based monitoring method which uses a single traffic camera to identify the modal properties of the supporting traffic signal mast arm. This was achieved via operational modal analysis on pixel displacements obtained from a traffic camera mounted on a traffic signal mast arm in Norfolk, VA, monitored during July, 2019. First, sub-pixel displacements were extracted frame-by-frame using weighted centroid tracking of pavement markings. Then, covariance-driven stochastic subspace identification (SSI-Cov) was employed to extract the mast arm fundamental frequencies, damping ratios, and mode shapes. For validation of the vision-based results, SSI-Cov was also applied to acceleration data recorded by two high-sensitivity accelerometers mounted on the structure. In total, the processing was carried out on four different videos and ten acceleration datasets. The vision-based method was able to reliably identify the fundamental frequencies of the structure (Δf < 0.005 Hz mean difference). The associated damping ratios were consistently overestimated but still close in structural terms (Δζ < 0.7% mean difference). [ABSTRACT FROM AUTHOR]

Introduction: AKCEA-TTR-LRx is a ligand-conjugated antisense (LICA) drug in development for the treatment of hereditary transthyretin amyloidosis (hATTR), a fatal disease caused by mutations in the transthyretin (TTR) gene. AKCEA-TTR-LRx shares the same nucleotide sequence as inotersen, an antisense medicine approved for use in hATTR polyneuropathy (hATTR-PN). Unlike inotersen, AKCEA-TTR-LRx is conjugated to a triantennary N-acetylgalactosamine moiety that supports receptor-mediated uptake by hepatocytes, the primary source of circulating TTR. This advanced design increases drug potency to allow for lower and less frequent dosing. The NEURO-TTRansform study will investigate whether AKCEA-TTR-LRx is safe and efficacious, with the aim of improving neurologic function and quality of life in hATTR-PN patients. Methods/Design: Approximately 140 adults with stage 1 (independent ambulation) or 2 (requires ambulatory support) hATTR-PN are anticipated to enroll in this multicenter, open-label, randomized, phase 3 study. Patients will be assigned 6:1 to AKCEA-TTR-LRx 45 mg subcutaneously every 4 weeks or inotersen 300 mg once weekly until the prespecified week 35 interim efficacy analysis, after which patients receiving inotersen will receive AKCEA-TTR-LRx 45 mg subcutaneously every 4 weeks. All patients will then receive AKCEA-TTR-LRx through the remainder of the study treatment period. The final efficacy analysis at week 66 will compare the AKCEA-TTR-LRx arm with the historical placebo arm from the phase 3 trial of inotersen (NEURO-TTR). The primary outcome measures are between-group differences in the change from baseline in serum TTR, modified Neuropathy Impairment Score + 7, and Norfolk Quality of Life—Diabetic Neuropathy questionnaire. Conclusion: NEURO-TTRansform is designed to determine whether targeted delivery of AKCEA-TTR-LRx to hepatocytes with lower and less frequent doses will translate into clinical and quality-of-life benefits for patients with hATTR-PN. Trial Registration: The study is registered at ClinicalTrials.gov (NCT04136184) and EudraCT (2019-001698-10). Plain Language Summary: Hereditary transthyretin amyloidosis with peripheral neuropathy (hATTR-PN for short) is a rare inherited condition. In hATTR-PN, a protein called transthyretin (TTR for short) builds up and damages nerves throughout the body. This neuropathy causes symptoms such as weakness, loss of sensation, and pain. Currently available medicines can slow disease progression, but researchers are looking for more effective treatments with fewer side effects. AKCEA-TTR-LRx is an investigational treatment for hATTR-PN. AKCEA-TTR-LRx prevents the liver from making TTR, reducing the amount that causes disease progression. It is similar to an existing treatment called inotersen, but designed for better delivery to the liver and is more potent. This article describes the NEURO-TTRansform study that will evaluate how effective AKCEA-TTR-LRx is for treating hATTR-PN. Around 140 adults with hATTR-PN from the USA, Canada, and Europe will be able to take part in this study. The study treatment period will be 85 weeks long. People will receive injections underneath the skin of either: AKCEA-TTR-LRx every 4 weeks, or Inotersen once a week for 35 weeks, followed by a switch to AKCEA-TTR-LRx every 4 weeks. People may continue to receive AKCEA-TTR-LRx after the study treatment period ends. In this study, researchers will compare results from people who received AKCEA-TTR-LRx to results from people who received no active ingredients (called placebo) in a similar study (called NEURO-TTR). Researchers will measure the differences in peoples': Neuropathy symptoms. Quality of life. TTR protein levels in the blood. [ABSTRACT FROM AUTHOR]

Focuses on the struggle of a teacher in the implementation of teaching for understanding framework in classroom practice in Norfolk, Virginia. Advantages of the framework for organizing educational approaches for deepening student understanding; Account on the ATLAS Summer Workshop, funded by American schools on the development of teaching and learning; Elements of the framework.

Coastal climate adaptation public works, such as storm surge barriers and levees, are central elements of several current proposals to limit damages from coastal storms and sea‐level rise in the United States. Academic analysis of these public works projects is dominated by technocratic and engineering‐driven frameworks. However, social conflict, laws, political incentives, governance structures, and other political factors have played pivotal roles in determining the fate of government‐led coastal flood risk reduction efforts. Here, we review the ways in which politics has enabled or hindered the conception, design, and implementation of coastal risk reduction projects in the U.S. We draw from the literature in natural hazards, infrastructure, political science, and climate adaptation and give supporting examples. Overall, we find that (1) multiple floods are often needed to elicit earnest planning; (2) strong and continuous leadership from elected officials is necessary to advance projects; (3) stakeholder participation during the design stage has improved outcomes; (4) legal challenges to procedural and substantive shortcomings under environmental protection statutes present an enduring obstacle to implementing megastructure proposals. Plain Language Summary: Major U.S. cities like New York, Boston, Norfolk, and Houston are investigating the use of storm surge barriers, levees, and other coastal flood protection megaprojects to limit damages from coastal storms and sea‐level rise. Determining the feasibility of such public works projects is largely dominated by technocratic and engineering‐driven frameworks (for example, benefit‐cost analysis). However, experience with similar public infrastructure and natural hazard preparedness projects suggests that social conflict and politics have been crucial in their conception, design, and implementation. In this review, we highlight the role of interest mobilization, political leadership, stakeholder participation, and legal challenges as a result of environmental protection laws in both creating and overcoming political obstacles. Better understanding the social and political factors that enable or hinder the implementation of storm surge barriers, levees, and other coastal flood protection megaprojects could encourage strategies and policies that are less likely to result in deadlocks, delays, or failure, thus saving valuable time and planning resources. Key Points: Social conflict and politics are crucial factors in the conception, design, and implementation of coastal flood protection megaprojectsPolitical incentives can hinder efforts to add adaptation works to government agendasEnvironmental protection laws, siting issues, and fragmented decision‐making add complexity to implementation [ABSTRACT FROM AUTHOR]

The southern North Sea is a particularly important area for understanding the behaviour of the British-Irish Ice Sheet (BIIS) during the last glacial cycle. It preserves a record of the maximum extent of the eastern sector of the BIIS as well as evidence for multiple different ice flow phases and the dynamic re-organisation of the BIIS. This paper explores the origin and age of the Dogger Bank (DB); re-assesses the extent and age of the glaciogenic deposits across the shallow areas of the North Sea adjacent to the Dogger Bank and; re-examines the dynamic behaviour of the BIIS in the southern North Sea between 30 – 19 ka.The DB is composed predominantly by glaciolacustrine sediment deposited between 31.6 – 25.8 ka. Following its formation the western end of the Dogger lake was overridden with initial ice override and retreat northwards back across the Dogger lake complete by 23.1 ka. This resulted in widespread compressive glaciotectonism of the lake sediments and the formation of thrust moraine complexes. Along the northern edge of the DB, moraines are on-lapped by later phase glaciolacustrine and marine sediments but do not show evidence of subsequent ice override.The seafloor to the west/southwest of the DB records several later phases of ice advance and retreat as the North Sea Lobe (NSL) flowed between the DB and the Yorkshire/Lincolnshire coast. New OSL ages limit the arrival of the BIIS on the Norfolk coast to 22.8 – 21.5 ka, after which multiple till sheets and moraines on the seafloor mark northwards retreat of the NSL. This pattern of behaviour is broadly synchronous with the terrestrial sedimentary record along the Yorkshire coast which relates to post Dimlington Stadial NSL oscillation and retreat (~ 21.5 ka)With respect to forcing mechanisms it is likely that during the early phases of the LGM (~30-23ka) the interaction between the southern margin of the BIIS and the Dogger Lake was critical in influencing flow instability and rapid ice advance and retreat. However, during the latter part of the LGM (22 - 21 ka) late-phase ice advance in the southern North Sea became restricted to the western side of the DB which was a substantial topographic feature by this time. This topographic confinement, in addition to decoupling of the BIIS and the Fennoscandian Ice Sheet further north, enabled ice to reach the Norfolk coast, subsequently overprinting the seabed with late-phase tills of the Bolders Bank Fm. [ABSTRACT FROM AUTHOR]

A novel application of web-based virtual laboratories to prepare students for physical experiments is explored in some detail. The pedagogy of supplementing physical laboratory with web-based virtual laboratories is implemented by developing a web-based tool, designated in this work as "eLIVE", an acronym for Engineering Laboratory Instruction in Virtual Environment. Two physical experiments, one each from the thermo-fluids laboratory and the solid mechanics laboratory in the undergraduate mechanical engineering curriculum, are transformed into web-based virtual experiments for application as pre-lab practice sessions. The key question answered here is as follows: Do the web-based virtual experiments developed for supplementation of physical laboratory instruction enhance students' knowledge of experimental procedure and data acquisition? This question is answered by assessing the performance of a "control" group of students that did not use "eLIVE" and comparing it with the performance of an "experimental" group that availed "eLIVE" prior to the physical experiment sessions. Students' performance in tests and quizzes administered to both the groups prior to the physical experiments was analyzed, using a non-parametric statistical method, to establish the statistical significance of assessed results with respect to "eLIVE" intervention, and demographic parameters such as gender, ethnicity, academic achievement, age, course load etc. Statistical results as well as students' response to surveys presented in this work point to "eLIVE" as being a very useful technology- enhanced interactive learning tool. The present study clearly establishes the pedagogy of physical laboratory supplementation with web-based virtual laboratories on a firm ground for possible extension to other engineering laboratory courses at ODU as well as at other institutions. [ABSTRACT FROM AUTHOR]

Poor air quality represents a significant health risk for individuals engaging in recreation activities outdoors in urban parks and trails. This study investigated temporal variability in particulate matter (PM) exposure along an urban waterfront trail. We also used recreation choice frameworks to examine the effects of visitors' perceptions of air quality (AQ) and health benefits on trail use. Average air quality during the collection period was "good" (PM10) to "moderate" (PM2.5). We found that PM density was significantly higher (p < 0.001), though still in the "moderate" range, at 7–9 a.m., 11 a.m.–1 p.m., and 3–5 p.m., and on weekends. Visitors' self-reported perceptions of health outcomes, but not air quality, significantly predicted trail use. Results suggest that these experiential factors may affect recreational choices depending on other factors, such as salience. Further research is merited to determine how experiential factors can be integrated with other theories of motivation to understand recreational decision-making. [ABSTRACT FROM AUTHOR]

The article profiles John F. Oliviera Fernandez, an immigrant Portuguese physician and lay trustee of St. Mary's congregation in Norfolk, Virginia. He has been influenced by the effects of the Enlightenment on the European Catholic church that provided a fertile ground for theological reflection and ecclesiastical adaptation in American Catholicism. Fernandez has also been involved in the immigrant Catholic congregation's affairs and became the congregation's chief spokesman in 1820.

The article presents an application of motivator-hygiene theory among the black, working poor. Briefly stated, the motivator-hygiene theory demonstrates that man has two separate and independent need systems that do not interact. The hygiene continuum deals with man's need to avoid pain from his environment and is met by increasing extrinsic job factors such as salary, status, company policy and administration, good interpersonal relationships, etc. It is the hygiene factors that keep man from states of dissatisfaction. Thus, explicit to motivator-hygiene theory is the hypothesis that satisfaction and dissatisfaction are separate and independent conditions of job attitudes. The opposite of satisfaction is not dissatisfaction, rather, it is simply no satisfaction. The population sampled for this study consisted of a group of the black working poor in Norfolk, Virginia. This particular sample was chosen for several reasons. Since the study specifically attempts to ascertain attitudes about the work situation, it was only proper that interviews be held with some of those who were working. Poor and black workers were selected so as to ascertain whether or not this replication would further verify the motivator-hygiene theory, which had not yet been tested on such poor or black populations.

The hypothesis that radical segregationist sentiment is unevenly distributed within a city is partially confirmed by a study of attitudes in Norfolk, Virginia. Attitude toward school desegregation is found to differ significantly by social area type as defined by the Shevky-Bell scheme. The study also reveals the large size and stability of the moderate group on this issue. [ABSTRACT FROM AUTHOR]

Flooding in many areas is becoming more prevalent due to factors such as urbanization and climate change, requiring modernization of stormwater infrastructure. Retrofitting standard passive systems with controllable valves/pumps is promising, but requires real-time control (RTC). One method of automating RTC is reinforcement learning (RL), a general technique for sequential optimization and control in uncertain environments. The notion is that an RL algorithm can use inputs of real-time flood data and rainfall forecasts to learn a policy for controlling the stormwater infrastructure to minimize measures of flooding. In real-world conditions, rainfall forecasts and other state information are subject to noise and uncertainty. To account for these characteristics of the problem data, we implemented Deep Deterministic Policy Gradient (DDPG), an RL algorithm that is distinguished by its capability to handle noise in the input data. DDPG implementations were trained and tested against a passive flood control policy. Three primary cases were studied: (i) perfect data, (ii) imperfect rainfall forecasts, and (iii) imperfect water level and forecast data. Rainfall episodes (100) that caused flooding in the passive system were selected from 10 years of observations in Norfolk, Virginia, USA; 85 randomly selected episodes were used for training and the remaining 15 unseen episodes served as test cases. Compared to the passive system, all RL implementations reduced flooding volume by 70.5% on average, and performed within a range of 5%. This suggests that DDPG is robust to noisy input data, which is essential knowledge to advance the real-world applicability of RL for stormwater RTC. [ABSTRACT FROM AUTHOR]