Relevant bibliographies by topics / Stream health

Academic literature on the topic 'Stream health'

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Published: 4 June 2021
Last updated: 1 August 2024

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Journal articles on the topic "Stream health"

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Powell, Martin. "Seventy years of the British National Health Service: problem, politics and policy streams." Health Economics, Policy and Law 14, no. 1 (April 15, 2018): 29–39. http://dx.doi.org/10.1017/s1744133118000117.

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AbstractThe British National Health Service (NHS) celebrates its 70th birthday on 5 July 2018. This paper examines this anniversary through the lens of previous anniversaries, exploring two strands of political debates and NHS documents. It draws on the basic ‘multiple streams model’ of Kingdon that argues that an issue reaches the agenda when the policy window opens to allow the coupling of three independent streams – policy, problem and politics. It is found that there appears to be some discontinuity in the problem stream; some periods of relative consensus and sharp political differences in the politics stream; and sharp variations over time in the policy stream. While it is clear that there have been both continuities and discontinuities in the problem, politics and policy streams over the past 70 years, they have rarely come together to result in a policy that has taken it off the agenda.
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Smiley, Peter C., Kevin W. King, and Norman R. Fausey. "Public health perspectives of channelized and unchannelized headwater streams in central Ohio: a case study." Journal of Water and Health 8, no. 3 (March 9, 2010): 577–92. http://dx.doi.org/10.2166/wh.2010.160.

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Headwater streams constitute the majority of watersheds in the United States and many in the midwest have been channelized for agricultural drainage. Public health implications of water chemistry and aquatic insects within channelized and unchannelized headwater streams have not been explored. We sampled water chemistry and aquatic insects in two channelized and two unchannelized headwater streams in central Ohio from December 2005 until November 2008. Maximum concentrations of ammonium, nitrate plus nitrite, and chlorothalonil were greater in channelized streams. Nitrate plus nitrite and atrazine also exceeded drinking water standards more often in channelized streams. Maximum concentrations of simazine and the percentage of times it exceeded the drinking water standards were greater in unchannelized streams. The predicted hazard potential of nutrient and pesticide mixtures was greater in channelized streams. Mosquito abundance did not differ between stream types. Chironomid abundance was greater in channelized streams. Biting dipterans did not exhibit consistent abundance trends and only differed between stream types in the summer and fall. Our results suggest that if whole stream uptake of nutrients and pesticides is minimal in channelized headwater streams then nutrient and pesticide inputs from these streams may impact downstream drinking water sources. Our results also suggest channelized and unchannelized headwater streams are not serving as a significant source of mosquitoes.
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Finkenbine, J. K., J. W. Atwater, and D. S. Mavinic. "STREAM HEALTH AFTER URBANIZATION." Journal of the American Water Resources Association 36, no. 5 (October 2000): 1149–60. http://dx.doi.org/10.1111/j.1752-1688.2000.tb05717.x.

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Speechley, W. J., C. B. Murray, R. M. McKay, M. T. Munz, and E. T. C. Ngan. "A failure of conflict to modulate dual-stream processing may underlie the formation and maintenance of delusions." European Psychiatry 25, no. 2 (March 2010): 80–86. http://dx.doi.org/10.1016/j.eurpsy.2009.05.012.

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AbstractBackgroundDual-stream information processing proposes that reasoning is composed of two interacting processes: a fast, intuitive system (Stream 1) and a slower, more logical process (Stream 2). In non-patient controls, divergence of these streams may result in the experience of conflict, modulating decision-making towards Stream 2, and initiating a more thorough examination of the available evidence. In delusional schizophrenia patients, a failure of conflict to modulate decision-making towards Stream 2 may reduce the influence of contradictory evidence, resulting in a failure to correct erroneous beliefs.MethodDelusional schizophrenia patients and non-patient controls completed a deductive reasoning task requiring logical validity judgments of two-part conditional statements. Half of the statements were characterized by a conflict between logical validity (Stream 2) and content believability (Stream 1).ResultsPatients were significantly worse than controls in determining the logical validity of both conflict and non-conflict conditional statements. This between groups difference was significantly greater for the conflict condition.ConclusionsThe results are consistent with the hypothesis that delusional schizophrenia patients fail to use conflict to modulate towards Stream 2 when the two streams of reasoning arrive at incompatible judgments. This finding provides encouraging preliminary support for the Dual-Stream Modulation Failure model of delusion formation and maintenance.
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McNie, Pierce M., and Russell G. Death. "The effect of agriculture on cave-stream invertebrate communities." Marine and Freshwater Research 68, no. 11 (2017): 1999. http://dx.doi.org/10.1071/mf16112.

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The impacts that land-use changes have on cave-stream fauna have not been considered widely in the investigations of land-use impacts on stream ecology. The present study examines how above-ground agriculture may influence cave-stream invertebrate communities. The invertebrate communities in four cave streams and their surface counterparts were sampled in 2014–2015, including two drained predominantly agricultural catchments and two drained forested catchments. These communities were examined alongside habitat and GIS land-use data to determine the relationship between above-ground land use and the stream communities. Invertebrate community composition and ecological health for surface streams was different between the agricultural and forest catchments. These differences were less pronounced within the cave-stream communities. Sedimentation was the principal agricultural stressor in the cave streams. The overall effects of agriculture were lower within the cave streams than on the surface; this is likely to be due to the reduced number of potentially deleterious stressors on cave streams.
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Meyer, Judy L. "Stream Health: Incorporating the Human Dimension to Advance Stream Ecology." Journal of the North American Benthological Society 16, no. 2 (June 1997): 439–47. http://dx.doi.org/10.2307/1468029.

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Mao, Kelong, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, and Zhenhua Dong. "FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 4 (June 26, 2023): 4552–60. http://dx.doi.org/10.1609/aaai.v37i4.25577.

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Click-through rate (CTR) prediction is one of the fundamental tasks in online advertising and recommendation. Multi-layer perceptron (MLP) serves as a core component in many deep CTR prediction models, but it has been widely shown that applying a vanilla MLP network alone is ineffective in learning complex feature interactions. As such, many two-stream models (e.g., Wide&Deep, DeepFM, and DCN) have recently been proposed, aiming to integrate two parallel sub-networks to learn feature interactions from two different views for enhanced CTR prediction. In addition to one MLP stream that learns feature interactions implicitly, most of the existing research focuses on designing another stream to complement the MLP stream with explicitly enhanced feature interactions. Instead, this paper presents a simple two-stream feature interaction model, namely FinalMLP, which employs only MLPs in both streams yet achieves surprisingly strong performance. In contrast to sophisticated network design in each stream, our work enhances CTR modeling through a feature selection module, which produces differentiated feature inputs to two streams, and a group-wise bilinear fusion module, which effectively captures stream-level interactions across two streams. We show that FinalMLP achieves competitive or even better performance against many existing two-stream CTR models on four open benchmark datasets and also brings significant CTR improvements during an online A/B test in our industrial news recommender system. We envision that the simple yet effective FinalMLP model could serve as a new strong baseline for future development of two-stream CTR models. Our source code will be available at MindSpore/models and FuxiCTR/model_zoo.
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Polat, Seda, and Taflan İmre Gündem. "Stream Processing Health Card Application." Journal of Medical Systems 36, no. 5 (November 30, 2011): 3215–22. http://dx.doi.org/10.1007/s10916-011-9812-0.

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Reid, Scott, and Anita LeBaron. "Autumn electrofishing reduces harm to Ontario (Canada) stream fishes collected during watershed health monitoring." Conservation Evidence Journal 18 (January 1, 2021): 31–36. http://dx.doi.org/10.52201/cej18hjvu9134.

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Electrofishing surveys provide important information on watershed health, and the status of imperiled and recreationally important stream fishes. Concerns about the harmful effects of electrofishing on the endangered redside dace Clinostomus elongatus have resulted in restrictions on its use in sampling activities in the province of Ontario, Canada. However, the effectiveness of these restrictions is unproven. We undertook a paired sampling gear study in 2018-2019 to test whether an alternate gear (seine nets) or a change in electrofishing timing (autumn rather than summer) reduced harm to stream fishes. The study took place in streams located in the Greater Toronto Area. We found large differences in the frequency and magnitude of sampling-related mortalities between sampling gear and seasons. During individual surveys, electrofishing mortality never exceeded 9% in the summer or 4% in the autumn, while seining-related mortality reached 60% at two stream sites. Overall, autumn electrofishing resulted in mortality rates that were 5.6 and 15 times lower than summer electrofishing and summer seining. These results indicate that survival of Ontario stream fishes can be improved by delaying electrofishing until early autumn.
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Derose, Kelsey L., Charles F. Battaglia, Danny J. Eastburn, Leslie M. Roche, Theresa A. Becchetti, Holly A. George, David F. Lile, Donald L. Lancaster, Neil K. McDougald, and Kenneth W. Tate. "Riparian health improves with managerial effort to implement livestock distribution practices." Rangeland Journal 42, no. 3 (2020): 153. http://dx.doi.org/10.1071/rj20024.

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Optimising the spatial distribution of free-ranging livestock is a significant challenge in expansive, grazed landscapes across the globe. Grazing managers use practices such as herding (i.e. droving), strategic placement of off-stream livestock drinking water and nutritional supplements, and strategic fencing in attempts to distribute livestock away from sensitive streams and riparian areas. We conducted a cross-sectional survey of 46 cattle-grazed riparian areas and associated stream reaches embedded in rugged range landscapes to examine relationships between implementation of these management practices, stocking rate, and riparian health. We determined in-stream benthic invertebrate assemblages at each site to serve as an integrative metric of riparian health. We also collected information from the grazing manager on stocking rate and implementation of livestock distribution practices at each site over the decade before this study. Off-stream livestock drinking-water sources were implemented at just two sites (4.3%), indicating that this was not a common distribution practice in these remote management units. We found no significant relationship of riparian health (i.e. invertebrate richness metrics) with stocking rate (P ≥ 0.45 in all cases), or with the simple implementation (yes/no) of off-stream nutritional supplements, fence maintenance, and livestock herding (P ≥ 0.22 in all cases). However, we did find significant positive relationships between riparian health and managerial effort (person-days spent per year for each individual practice) to implement off-stream nutritional supplements and fence maintenance (P ≤ 0.017 in all cases). Livestock herding effort had an apparent positive association with riparian health (P ≥ 0.2 in all cases). Results highlight that site-specific variation in managerial effort accounts for some of the observed variation in practice effectiveness, and that appropriate managerial investments in grazing distributional practices can improve riparian conditions.
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Dissertations / Theses on the topic "Stream health"

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Castro, Marroquín Cesar Enrique, Rodriguez Juan Sebastian Guevara, Sajamin Jessenia Sonia Poicon, León Elizabeth Antuanette Rojas, and Azato Miyuki Jennifer Tengan. "HEALTH STREAM." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2021. http://hdl.handle.net/10757/656924.

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Este emprendimiento fue planteado por un grupo de estudiantes de la facultad de Negocios de la Universidad Peruana de Ciencias Aplicadas (UPC) que están próximo a obtener el grado de bachiller de Administración y Negocios Internacionales. Los conocimientos adquiridos durante estos años de la carrera nos han permitido plantear un modelo de negocio con una propuesta de valor de manera objetiva y directa. En primer lugar, se identificó el problema que es la tasa de crecimiento de enfermedades con trastornos psicológicos como es el estrés y ansiedad que están padeciendo las personas por el confinamiento social obligatorio a causa de la pandemia del COVID-19. Por estas razones, creamos la plataforma “Health Stream” que brinda diferentes cursos virtuales de deportes, para reducir el estrés que se da por la rutina del home office y clases. Asimismo, se ofrece talleres nutricionales y psicológicos para que el usuario pueda mejorar su estilo de vida. De esta forma, ponemos a disposición un servicio completo con tres planes de pago siendo Clásico, Gold y Premium. En conclusión, luego de haber realizado el lanzamiento de la página pudimos obtener diferentes críticas constructivas que nos ayudaron en el proceso del proyecto de negocio, por lo cual realizamos mejoras continuas para obtener la versión final.
This entrepreneurship was proposed by a group of students from the Business School of the Universidad Peruana de Ciencias Aplicadas (UPC) who are about to obtain their bachelor's degree in Administration and International Business. The knowledge acquired during these years of study has allowed us to propose a business model with a value proposition in an objective and direct manner. First, we identified the problem that is the growth rate of diseases with psychological disorders such as stress and anxiety that people are suffering from the mandatory social confinement due to the pandemic of COVID-19. For these reasons, we created the "Health Stream" platform that offers different virtual sports courses to reduce the stress caused by the home office routine and classes. We also offer nutritional and psychological workshops so that users can improve their lifestyles. In this way, we offer a complete service with three payment plans: Classic, Gold, and Premium. In conclusion, after the launching of the website we were able to obtain different constructive criticisms that helped us in the process of the business project, which is why we made continuous improvements to obtain the final version.
Trabajo de investigación
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Millington, Heidi Kathryn. "Spatial Analysis of the Impacts of Urbanisation on the Health of Ephemeral Streams in Southeast Queensland." Thesis, Griffith University, 2016. http://hdl.handle.net/10072/367358.

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Aquatic ecosystems are vulnerable to threats from human activity. Numerous studies have shown that urban freshwater stream ecosystems are especially vulnerable to the intensity and complexity of stream health stressors associated with activities in the surrounding urban landscape. Scientists, government organisations and local volunteer groups are well aware of the deteriorating health of urban streams and are working towards understanding and managing the sources of stress on stream health. Improving the health of urban streams has the potential to provide local benefits such as biodiversity protection, enhanced ecosystem health, water purification, access to green space, scenic amenity and improved land values. While several important stressors have been identified in the Urban Stream Syndrome (elevated sediments, nutrients and contaminants, increased hydrologic flashiness and altered riparian and biotic assemblages) further research is required on the most important stressors and the mechanisms by which they impact stream health, especially in systems within dry climates where urban streams experience low flow conditions and flashy natural hydrology. Catchment-scale impervious surface has been identified in previous studies as a major driver of altered urban stream hydrology leading to degraded stream health. However, especially in drier climates, other aspects such as water quality and ecological processes associated with longitudinal and lateral connectivity have been identified as potentially more important stressors on urban stream health.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
Griffith School of Environment
Science, Environment, Engineering and Technology
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Charron, Dominique F. "Livestock production and stream health in the Great Lakes Basin, an agroecosystem health approach." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq61971.pdf.

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Zhang, Jin. "Immunological modulation of antioxidants in side-stream cigarette smoke (SSCS) exposed mice." Diss., The University of Arizona, 2002. http://hdl.handle.net/10150/280048.

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Environmental tobacco smoke (ETS) is a complex mixture of chemicals generated during the burning of tobacco products. The principle contributor to ETS is side-stream cigarette smoke (SSCS), the material emitted from the smoldering tobacco product between puffs Our hypothesis is that reactive oxygen species from SSCS are playing an essential role in disease promotion and antioxidant supplementation (a single form of alpha-tocopherol or a mixture of multiple antioxidants) will potentially prevent SSCS associated tissue damage, pulmonary dysfunction. The specific aims of the present study are to determine if: (1) SSCS would induce tissue lipid peroxidation and proinflammatory responses; (2) SSCS would provoke pulmonary and cardiac function changes; (3) SSCS would cause oxidative stress, reduce nutrient concentrations and suppress immune function in murine retrovirus infections; (4) dietary alpha-tocopherol, specifically, can enhance resistance to oxidative damage by SSCS and improve lung function; (5) multiple antioxidant supplementation can modulate proinflammatory cytokine secretion and tissue lipid peroxidation induced by SSCS exposure in old healthy mice. SSCS exposure methodology in a murine model was developed to facilitate these goals. For the first time we established a SSCS model in murine retrovirus infection. Also we conduced a SSCS dose-response model for a cardiac function study. We found that SSCS exposure in mice consistently increased oxidation, depleted tissue vitamin E levels, and promoted inflammatory cytokines production. SSCS exposure at 120-min/day, 5 days/week for 12 weeks decreased heart contractile function and increased vascular resistance. SSCS induced increased oxidative stress, reduced nutrient concentrations and suppressed immune function, which could make mice with murine retrovirus more susceptible to opportunistic infections. Dietary alpha-tocopherol enhanced resistance against SSCS-induced oxidation and improved lung function, primarily through the antioxidant property of alpha-tocopherol and its modulation of local cytokine production. The multiple antioxidant with beta-carotene, bioflavanoids, Coenzyme Q10, d-alpha-tocopherol, L-ascorbic acid, L-carnitine, magnesium, N-acetylcysteine, retinol, selenium and zinc given as a dietary supplementation prevented oxidation and IL-6 production in healthy old mice during SSCS exposure. (Abstract shortened by UMI.)
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Lockard, Brendan Corbett. "Long Term Hydrologic Effects on Stream Health from Residential Development Patterns." Thesis, Virginia Tech, 2002. http://hdl.handle.net/10919/34013.

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In this study eight residential development scenarios are created for the mostly undeveloped Back Creek Watershed outside Roanoke, Virginia. The development scenarios include low, medium (cluster), medium (conventional), and high density development with and without development restrictions. These scenarios represent a large range of development as the land use imperviousness varies from 1% for the baseline condition to 34% for the most developed scenario. The hydrologic model HSPF is used to generate overland and channel flows from 43 years of rainfall.

Hydrologic output from HSPF of the various landuse patterns from the eight scenarios are evaluated using Post Processor, a Visual Basic program. The results show that increased development causes a reduction in Back Creek's baseflow and an increase in the occurrence of both high and low flow extreme events. Overall, these results indicate that increased development will increase the variability of flowrate in Back Creek.

Stream health impacts from flow variability were also analyzed with the Post Processor. First, hydrologic statistical variables with ecological relationships were used to gage the level of stream health impacts from flow variability. The averaged stream health index for the development scenarios was found to closely follow the amount of development, represented by the percent of impervious landuse. Second, the amount of velocity, depth, and both depth and velocity habitat available for three habitat guild representative species was evaluated for each scenario. The results indicated that increased development would lead to a substantial reduction in available riffle species habitat (represented by the fantail darter) and a moderate reduction in run and pool species habitat (represented by the central stoneroller and smallmouth bass, respectively).

Overall, increased development has been found to have a negative impact on stream health. This impact should be considered in any future expansion of the Roanoke suburbs into this watershed.


Master of Science
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Kennard, Mark. "A quantitative basis for the use of fish as indicators of river health in eastern Australia." Connect to this title online, 2005. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20051004.155737/.

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Gilfillan, Dennis, Timothy Andrew Joyner, and Phillip R. Scheuerman. "Maxent Estimation of Aquatic Escherichia Coli Stream Impairment." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/etsu-works/5480.

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Background: The leading cause of surface water impairment in United States’ rivers and streams is pathogen contamination. Although use of fecal indicators has reduced human health risk, current approaches to identify and reduce exposure can be improved. One important knowledge gap within exposure assessment is characterization of complex fate and transport processes of fecal pollution. Novel modeling processes can inform watershed decision-making to improve exposure assessment. Methods: We used the ecological model, Maxent, and the fecal indicator bacterium Escherichia coli to identify environmental factors associated with surface water impairment. Samples were collected August, November, February, and May for 8 years on Sinking Creek in Northeast Tennessee and analyzed for 10 water quality parameters and E. coli concentrations. Univariate and multivariate models estimated probability of impairment given the water quality parameters. Model performance was assessed using area under the receiving operating characteristic (AUC) and prediction accuracy, defined as the model’s ability to predict both true positives (impairment) and true negatives (compliance). Univariate models generated action values, or environmental thresholds, to indicate potential E. coli impairment based on a single parameter. Multivariate models predicted probability of impairment given a suite of environmental variables, and jack-knife sensitivity analysis removed unresponsive variables to elicit a set of the most responsive parameters. Results: Water temperature univariate models performed best as indicated by AUC, but alkalinity models were the most accurate at correctly classifying impairment. Sensitivity analysis revealed that models were most sensitive to removal of specific conductance. Other sensitive variables included water temperature, dissolved oxygen, discharge, and NO3. The removal of dissolved oxygen improved model performance based on testing AUC, justifying development of two optimized multivariate models; a 5-variable model including all sensitive parameters, and a 4-variable model that excluded dissolved oxygen. Discussion: Results suggest that E. coli impairment in Sinking Creek is influenced by seasonality and agricultural run-off, stressing the need for multi-month sampling along a stream continuum. Although discharge was not predictive of E. coli impairment alone, its interactive effect stresses the importance of both flow dependent and independent processes associated with E. coli impairment. This research also highlights the interactions between nutrient and fecal pollution, a key consideration for watersheds with multiple synergistic impairments. Although one indicator cannot mimic the plethora of existing pathogens in water, incorporating modeling can fine tune an indicator’s utility, providing information concerning fate, transport, and source of fecal pollution while prioritizing resources and increasing confidence in decision making. Methods We used the ecological model, Maxent, and the fecal indicator bacterium Escherichia coli to identify environmental factors associated with surface water impairment. Samples were collected August, November, February, and May for 8 years on Sinking Creek in Northeast Tennessee and analyzed for 10 water quality parameters and E. coli concentrations. Univariate and multivariate models estimated probability of impairment given the water quality parameters. Model performance was assessed using area under the receiving operating characteristic (AUC) and prediction accuracy, defined as the model’s ability to predict both true positives (impairment) and true negatives (compliance). Univariate models generated action values, or environmental thresholds, to indicate potential E. coli impairment based on a single parameter. Multivariate models predicted probability of impairment given a suite of environmental variables, and jack-knife sensitivity analysis removed unresponsive variables to elicit a set of the most responsive parameters. Results Water temperature univariate models performed best as indicated by AUC, but alkalinity models were the most accurate at correctly classifying impairment. Sensitivity analysis revealed that models were most sensitive to removal of specific conductance. Other sensitive variables included water temperature, dissolved oxygen, discharge, and NO3. The removal of dissolved oxygen improved model performance based on testing AUC, justifying development of two optimized multivariate models; a 5-variable model including all sensitive parameters, and a 4-variable model that excluded dissolved oxygen. Discussion Results suggest that E. coli impairment in Sinking Creek is influenced by seasonality and agricultural run-off, stressing the need for multi-month sampling along a stream continuum. Although discharge was not predictive of E. coli impairment alone, its interactive effect stresses the importance of both flow dependent and independent processes associated with E. coli impairment. This research also highlights the interactions between nutrient and fecal pollution, a key consideration for watersheds with multiple synergistic impairments. Although one indicator cannot mimic theplethora of existing pathogens in water, incorporating modeling can fine tune an indicator’s utility, providing information concerning fate, transport, and source of fecal pollution while prioritizing resources and increasing confidence in decision making.
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King, Lisa A. "Using landscape variables to assess stream health in Ohio's Western Allegheny Plateau." Ohio : Ohio University, 2008. http://www.ohiolink.edu/etd/view.cgi?ohiou1206047003.

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Ahmed, Sara 1974. "The Stroke Rehabilitation Assessment of Movement (STREAM) : validity and responsiveness." Thesis, McGill University, 1998. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=20946.

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The main objectives of this prospective cohort study were to examine the construct and predictive validity of the STREAM, and estimating its responsiveness. Sixty three acute stroke patients were evaluated on the STREAM and other measures of impairment and disability during the first week post-stroke, four weeks later, and three months post-stroke. The results of the study showed that STREAM scores were associated with measures of impairment and disability, and could discriminate subjects based on Balance Scale and Barthel Index scores. Moreover, the STREAM during the first week post-stroke was found to be an independent predictor of discharge destination after the acute care hospital, and of gait speed and the Barthel Index at three months post stroke. In addition, the total and subscale STREAM scores were able to mirror changes in motor performance between each evaluation. The utility and measurement properties of STREAM warrant its use in clinical practice and research.
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Viamonte, Louis David. "Five Mile Creek bioassessment study baseline evaluation of stream health using fish communities /." Birmingham, Ala. : University of Alabama at Birmingham, 2007. http://www.mhsl.uab.edu/dt/2007m/viamonte.pdf.

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Books on the topic "Stream health"

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Hughes, Duncan L. Rapid bioassessment of stream health. Boca Raton: Taylor & Francis, 2010.

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Hughes, Duncan L. Rapid bioassessment of stream health. Boca Raton: Taylor & Francis, 2010.

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L, Hughes Duncan, ed. Rapid bioassessment of stream health. Boca Raton: Taylor & Francis, 2010.

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L, Hughes Duncan, ed. Rapid bioassessment of stream health. Boca Raton: Taylor & Francis, 2010.

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Oregon. Dept. of Environmental Quality., ed. The Living stream: The health of a stream is an indicator of the health of our environment. Portland, OR: Oregon Dept. of Environmental Quality, 1994.

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D, Ebner Andrew, Geological Survey (U.S.), and Muskingum Watershed Conservancy District (Ohio), eds. Stream-profile analyses using a step-backwater model for selected reaches in the Chippewa Creek Basin in Medina, Wayne, and Summit Counties, Ohio. Reston, Va: U.S. Dept of the Interior, U.S. Geological Survey, 2011.

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Bari, M. F. Management of rivers for instream requirement and ecological protection: Introducing environmental flow assessment in Bangladesh, multidisciplinary collaborative research. [Dhaka]: BUET-DUT Linkage Project, 2006.

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Sarter, Barbara. The stream of becoming: A study of Martha Roger's theory. New York: National League forNursing, 1988.

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Nursing, National League for, ed. The stream of becoming: A study of Martha Rogers's theory. New York: National League for Nursing, 1988.

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New York (State). Dept. of Health. Health consultation, Silver Stream Village Mobile Home Park, New Windsor, Orange County, New York. Albany, NY: The Dept., 1996.

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Book chapters on the topic "Stream health"

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Grover, Aakriti, and R. B. Singh. "Urban Health and Wellbeing: Emerging Trans-disciplinary Stream." In Advances in Geographical and Environmental Sciences, 1–32. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6671-0_1.

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Kontogianni, Stamatia, Nicolas Moussiopoulos, and Issam A. Al-Khatib. "Health Hazards Associated with Household Hazardous Waste Stream Management Along with the Municipal Waste Stream." In Handbook of Environmental Materials Management, 1–17. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-58538-3_199-1.

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Li, Mi, Shengfu Lu, Jing Wang, Liwang Ma, Mengjie Zhang, and Ning Zhong. "Ventral Stream Plays an Important Role in Statistical Graph Comprehension: An fMRI Study." In Brain Informatics and Health, 12–20. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09891-3_2.

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Patil, Dipti D., Jyoti G. Mudkanna, Dnyaneshwar Rokade, and Vijay M. Wadhai. "Concept Adapting Real-Time Data Stream Mining for Health Care Applications." In Advances in Intelligent and Soft Computing, 341–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30157-5_34.

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Almutairy, Meznah, Hailah Alaskar, Latifah Alhumaid, and Rawan Alkhalifah. "Action-Aware Restricted Stream Influence Maximization Model to Identify Social Influencers." In Social Computing and Social Media: Applications in Marketing, Learning, and Health, 15–28. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77685-5_2.

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Baumeister, Jan, Bernd Finkbeiner, Stefan Gumhold, and Malte Schledjewski. "Real-Time Visualization of Stream-Based Monitoring Data." In Runtime Verification, 325–35. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17196-3_21.

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AbstractStream-based runtime monitors are used in safety-critical applications such as Unmanned Aerial Systems (UAS) to compute comprehensive statistics and logical assessments of system health that provide the human operator with critical information in hand-over situations. In such applications, a visual display of the monitoring data can be much more helpful than the textual alerts provided by a more traditional user interface. This visualization requires extensive real-time data processing, which includes the synchronization of data from different streams, filtering and aggregation, and priorization and management of user attention. We present a visualization approach for the RTLola monitoring framework. Our approach is based on the principle that the necessary data processing is the responsibility of the monitor itself, rather than the responsibility of some external visualization tool. We show how the various aspects of the data transformation can be described as RTLola stream equations and linked to the visualization component through a bidirectional synchronous interface. In our experience, this approach leads to highly informative visualizations as well as to understandable and easily maintainable monitoring code.
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Brazeau, Stéphanie, Cécile Vignolles, Ramesha S. Krishnamurthy, Juli Trtanj, John Haynes, Steven Ramage, Thibault Catry, et al. "Needs, challenges, and opportunities: a review by experts." In Earth observation, public health and one health: activities, challenges and opportunities, 93–103. Wallingford: CABI, 2022. http://dx.doi.org/10.1079/9781800621183.0003.

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Abstract This book chapter discusses all the information collected has been grouped together into eight categories: (i) aligning with and supporting UN Sustainable Development Goals; (ii) focusing on public health needs and key theme areas for further research; (iii) accessing and developing Earth Observation (EO) and geospatial evidence-based data and products leveraging public health capacities; (iv) developing a sustainable community of practice; (v) developing knowledge and know-how; (vi) developing solutions: methods, tools, and systems; (vii) implementing technical infrastructures and technologies; and (viii) participating in EO satellite mission development for monitoring disease risks. One such advancement attributable to Landsat data is the ability to monitor changing patterns in forest cover loss and human encroachment on previously wild areas that allows for better prediction of zoonotic disease emergence. For example, the Moderate Resolution Imaging Spectroradiometer (MODIS) sensors onboard the US Aqua and Terra satellites offer atmosphere, land, cryosphere, and ocean products that are used in several user communities. MODIS indicator data sets have been so successful that they do not require additional remote sensing analysis; they can be used directly in predictive models. Some EO satellite systems offer ARD (i.e. pre-processed images) and related information products derived from the raw data stream generated by the satellite instruments and the use of algorithms.
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Joly, Yann, Edward Dove, Bartha Maria Knoppers, and Dianne Nicol. "The GA4GH Regulatory and Ethics Work Stream (REWS) at 10: An Interdisciplinary, Participative Approach to International Policy Development in Genomics." In The Law and Ethics of Data Sharing in Health Sciences, 13–32. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-6540-3_2.

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Groza, A., A. Marginean, and B. Iancu. "Towards Improving Situation Awareness during Emergency Transportation through Ambulance-2-X Communication and Semantic Stream Reasoning." In International Conference on Advancements of Medicine and Health Care through Technology; 5th – 7th June 2014, Cluj-Napoca, Romania, 97–100. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07653-9_20.

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Millard, Chris. "Introduction: Self-Harm from Social Setting to Neurobiology." In A History of Self-Harm in Britain, 1–39. London: Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1007/978-1-137-52962-6_1.

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AbstractSelf-harm is a significant mental health issue in the twenty-first century. The recorded rise in various behaviours, including deliberate self-cutting and self-burning, have been widely remarked upon and lamented.1 Eminent cultural historian Sander Gilman has recently written of a global ‘sharp public awareness of self-harm as a major mental health issue’.2 The behaviour is usually said to be motivated by a desire to regulate feelings of intolerable tension, sadness or emotional numbness, and is almost always reported to be ‘on the increase’; it is also often reported as a problem primarily affecting young women.3 Despite a steady stream of books and articles on this emotive subject from the 1980s onwards — from psychiatrists, social workers and sociologists among others — there remains little meaningful historical analysis of this phenomenon.
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Conference papers on the topic "Stream health"

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Zhang, Qing, Chaoyi Pang, Simon Mcbride, David Hansen, Charles Cheung, and Michael Steyn. "Towards Health Data Stream Analytics." In 2010 IEEE/ICME International Conference on Complex Medical Engineering - CME 2010. IEEE, 2010. http://dx.doi.org/10.1109/iccme.2010.5558827.

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Kumar, Punam Kumari, and Bhaskar Mondal. "Lightweight Stream Cipher for Health Care IoT." In 2023 IEEE 2nd International Conference on Industrial Electronics: Developments & Applications (ICIDeA). IEEE, 2023. http://dx.doi.org/10.1109/icidea59866.2023.10295196.

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Moreira, Diego A. B., Levy G. Chaves, Rafael L. Gomes, and Joaquim Celestino. "An E-Health system for data stream analysis." In 2020 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2020. http://dx.doi.org/10.1109/iscc50000.2020.9219607.

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"Defining Drought in the Context of Stream Health." In ASABE 1st Climate Change Symposium: Adaptation and Mitigation. American Society of Agricultural and Biological Engineers, 2015. http://dx.doi.org/10.13031/cc.20152095102.

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Meehan, Rebecca, Manisha Kumari, Qiang Guan, Sanda Katila, Joel Davidson, and Nichole Egbert. "STREAM: Prototype Development of a Digital Language Identifier." In 15th International Conference on Health Informatics. SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0010893200003123.

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Murphy, Brian. "Urban Stream Assessment Procedure: A Framework for Assessing Stream Health in the Urban Environment." In Watershed Management Conference 2020. Reston, VA: American Society of Civil Engineers, 2020. http://dx.doi.org/10.1061/9780784483060.009.

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Chow, Lawrence, and Nicholas Bambos. "Real-time physiological stream processing for health monitoring services." In 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services (Healthcom 2013). IEEE, 2013. http://dx.doi.org/10.1109/healthcom.2013.6720749.

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Cianfrani, C. M., W. C. Hession, M. Watzin, and S. M. P. Sullivan. "Linking Stream Geomorphology, Watershed Condition and Aquatic Ecosystem Health." In Watershed Management Conference 2005. Reston, VA: American Society of Civil Engineers, 2005. http://dx.doi.org/10.1061/40763(178)111.

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GERZ, M. SC FABIAN, DR ENG LOUI AL-SHROUF, and PROF DR ENG MOHIEDDINE JELALI. "A COMPARATIVE ANALYSIS OF CONCEPT DRIFT DETECTION METHODS WITH A SYSTEMATIC AND INNOVATIVE APPROACH OF METHOD SELECTION." In Structural Health Monitoring 2023. Destech Publications, Inc., 2023. http://dx.doi.org/10.12783/shm2023/36906.

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One of the most significant challenges in data-driven modeling of complex systems is dealing with concept drift, i.e., the unpredictable changes in the underlying data distribution over time. In this work, nine concept drift detection (CDD) methods are evaluated with respect to different types of concept drift, including abrupt, gradual, incremental, and real concept drift, for both supervised and unsupervised application scenarios. For the supervised case, the methods EDDM, FHDDMSadd, MDDM-E, and EFDT are compared against a classification without change detection using Naïve Bayes as the base classifier. In the unsupervised application scenario, CluStream, ClusTree, DenStream, StreamKM++, and D-Stream are evaluated. The experiments are conducted using the Massive Online Analysis (MOA) evaluation platform, and the performance of each method is measured in terms of classification accuracy, memory consumption, and computation time. This empirical research shows that classification accuracy can be improved by 20% by implementing a CDD method, highlighting the importance of CDD in SHM data streams. However, there is no single method that proves to be superior in all scenarios, and the choice depends on the characteristics of the considered data stream and application requirements. Selecting the appropriate CDD method from the approximately 340 different methods found in the literature is not a trivial task and can lead to suboptimal selection. To tackle this issue, an innovative approach is proposed to assist researchers and practitioners find the appropriate CCD method for their application.
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Kanani, Behrooz. "Sizing of microbubbles in blood stream based on ultrasound velocity." In Nondestructive Evaulation for Health Monitoring and Diagnostics, edited by Tribikram Kundu. SPIE, 2005. http://dx.doi.org/10.1117/12.598154.

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Reports on the topic "Stream health"

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Kirner, N. P., G. P. Faison, and D. R. Johnson. National Institutes of Health: Mixed waste stream analysis. Office of Scientific and Technical Information (OSTI), August 1994. http://dx.doi.org/10.2172/114660.

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Bowles, David, Michael Williams, Hope Dodd, Lloyd Morrison, Janice Hinsey, Tyler Cribbs, Gareth Rowell, Michael DeBacker, Jennifer Haack-Gaynor, and Jeffrey Williams. Protocol for monitoring aquatic invertebrates of small streams in the Heartland Inventory & Monitoring Network: Version 2.1. National Park Service, April 2021. http://dx.doi.org/10.36967/nrr-2284622.

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The Heartland Inventory and Monitoring Network (HTLN) is a component of the National Park Service’s (NPS) strategy to improve park management through greater reliance on scientific information. The purposes of this program are to design and implement long-term ecological monitoring and provide information for park managers to evaluate the integrity of park ecosystems and better understand ecosystem processes. Concerns over declining surface water quality have led to the development of various monitoring approaches to assess stream water quality. Freshwater streams in network parks are threatened by numerous stressors, most of which originate outside park boundaries. Stream condition and ecosystem health are dependent on processes occurring in the entire watershed as well as riparian and floodplain areas; therefore, they cannot be manipulated independently of this interrelationship. Land use activities—such as timber management, landfills, grazing, confined animal feeding operations, urbanization, stream channelization, removal of riparian vegetation and gravel, and mineral and metals mining—threaten stream quality. Accordingly, the framework for this aquatic monitoring is directed towards maintaining the ecological integrity of the streams in those parks. Invertebrates are an important tool for understanding and detecting changes in ecosystem integrity, and they can be used to reflect cumulative impacts that cannot otherwise be detected through traditional water quality monitoring. The broad diversity of invertebrate species occurring in aquatic systems similarly demonstrates a broad range of responses to different environmental stressors. Benthic invertebrates are sensitive to the wide variety of impacts that influence Ozark streams. Benthic invertebrate community structure can be quantified to reflect stream integrity in several ways, including the absence of pollution sensitive taxa, dominance by a particular taxon combined with low overall taxa richness, or appreciable shifts in community composition relative to reference condition. Furthermore, changes in the diversity and community structure of benthic invertebrates are relatively simple to communicate to resource managers and the public. To assess the natural and anthropo-genic processes influencing invertebrate communities, this protocol has been designed to incorporate the spatial relationship of benthic invertebrates with their local habitat including substrate size and embeddedness, and water quality parameters (temperature, dissolved oxygen, pH, specific conductance, and turbidity). Rigid quality control and quality assurance are used to ensure maximum data integrity. Detailed standard operating procedures (SOPs) and supporting information are associated with this protocol.
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Dodd, Hope, David Bowles, John Cribbs, Jeffrey Williams, Cameron Cheri, and Tani Hubbard. Aquatic community monitoring at Herbert Hoover National Historic Site, 2008?2017. National Park Service, 2024. http://dx.doi.org/10.36967/2303263.

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Land use changes that degrade water quality and stream habitat can negatively impact aquatic communities. Monitoring trends in aquatic community composition and habitat conditions is a robust way to assess stream integrity and health. Herbert Hoover National Historic Site (NHS) is in eastern Iowa where dominant land use consists of row-crop and grassland agriculture. A portion of an unnamed tributary of the West Branch of Wapsinonoc Creek, known as Hoover Creek, flows through the park. In 2008, the Heartland Inventory and Monitoring Network (Heartland Network) of the National Park Service (NPS) began monitoring aquatic communities (fish and invertebrates), physical habitat, and water quality at Hoover Creek within the park. This report summarizes four years of data to assess the baseline conditions of Hoover Creek within Herbert Hoover NHS. Aquatic invertebrate taxa richness ranged from 21 to 32 among all years monitored. Three of these taxa are sensitive to poor water quality and habitat conditions. The invertebrate community was dominated by true flies in the Chironomidae family, Oligochaete worms, and mayflies in the Baetidae family. These taxa are all tolerant of poor water quality and habitat conditions. However, in 2011, the sensitive caddisfly Ceratopsyche was also abundant. Mean Hilsenhoff Biotic Index values indicated the invertebrate community fluctuated over time, ranging from fairly poor in 2017 to good condition in 2011. Ten fish species were collected at Hoover Creek across the four years sampled with seven of those species found in all years. All fish species collected were either moderately tolerant or tolerant to poor habitat and water quality conditions; the community was dominated by johnny darter (Etheostoma nigrum), creek chub (Semotilus atromaculatus), and blacknose dace (Rhinichthys atratulus). Based on the Index of Biotic Integrity developed for Iowa streams, the fish community ranged from fair condition in 2008, 2014, and 2017 to good condition in 2011. Hoover Creek was found to have predominately fine to medium gravel substrate with high embeddedness, and banks were steep and tall and consisted of fine silt substrate. With the exception of turbidity after a rain event in 2008, water quality parameters were within state standards. The four years of stream biota data coupled with habitat data should form a good baseline for assessing changes or trends in the aquatic community and overall stream health of Hoover Creek.
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Dammeyer, Nathan, Jarrett Wansley, and Jeb Wofford. Status and trends of water quality in the Mid-Atlantic Inventory and Monitoring Network, water years 2011?2023. National Park Service, 2024. http://dx.doi.org/10.36967/2303698.

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The Mid-Atlantic Inventory and Monitoring Network (MIDN) monitors water quality due to the ecological, management, and policy significance of aquatic resources in MIDN parks. Specifically, water quality is monitored due to the direct effect it has on aquatic communities, the National Park Service?s responsibilities for the protection and improvement of water quality, and the clear connection to state-based regulatory programs. Here we provide a summary report on the status and trends in ?core? water quality parameters as defined by the National Park Service (i.e., pH, dissolved oxygen, water temperature, and specific conductivity). We include data from discrete monthly or quarterly observations for water years 2011 to 2023 at 47 sites distributed across eight MIDN parks. Overall, the status of water quality at most sites met state standards for the parameters monitored. Where water quality observations deviated from state standards, this was often due to natural conditions in the associated watershed such as underlying acidic soils or beaver activity. Out of 141 site-parameter combinations, only 10 showed more than 10% of observations outside state standards. And, of these 10, only three are believed to be associated with anthropogenic activity. In those few locations, upstream agricultural use or development is negatively impacting water quality. In terms of trend, significant trends in water quality parameters were rare across the network, and when present, were relatively small. Even though current monitoring suggests relatively good water quality across the MIDN, these conclusions are based on discrete monthly or quarterly samples, and it is possible that field observations during other times of the day would reveal additional water quality issues given large diel changes in water quality in some streams. Although state water quality standards were generally met for the observed ?core? parameters, it is important to note that these parameters represent a small portion of the many factors necessary for healthy stream ecosystems. Traits such as quality substrate, habitat complexity, good riparian condition, and other water quality criteria (e.g., nutrients and heavy metals) are also important. A more complete understanding of stream ecosystem health must include other components such as biological and physical habitat assessments.
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Tronstad, Lusha. Aquatic invertebrate monitoring at Agate Fossil Beds National Monument: 2019 data report. National Park Service, April 2022. http://dx.doi.org/10.36967/nrds-2293128.

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Monitoring ecosystems is vital to understanding trends over time and key to detecting change so that managers can address perturbations. Freshwater streams are the lifeblood of the surrounding landscape, and their health is a measure of the overall watershed integrity. Streams are the culmination of upland processes and inputs. Degradation on the landscape as well as changes to the stream itself can be detected using biota living in these ecosystems. Aquatic invertebrates are excellent indicators of ecosystem quality because they are relatively long-lived, sessile, diverse, abundant and their tolerance to perturbation differs. Aquatic invertebrates were monitored at three sites along the Niobrara River at Agate Fossil Beds National Monument in 2019 completing 23 years of data using Hester-Dendy and Hess samplers. Hess samplers are artificial multi-plate samplers suspended in the water column to allow invertebrates to colonize and Hess samples collect invertebrates in a known area on natural substrate and vegetation. We identified 45 invertebrate taxa from four phyla (Annelida, Arthropoda, Mollusca, Nematoda) using both samplers in the Niobrara River (Appendix A and B). Hester-Dendy samplers collected 4 taxa not found in Hess samples and Hess samples collected 17 taxa not collected with Hester-Dendy samplers. Hess samples captured more (91%) than Hester-Dendy samples (62%). Crustacea, Diptera and Ephemeroptera were the most abundant groups of invertebrates collected in the Niobrara River. The proportion of Insecta, Annelida, Trichoptera and Diptera differed between Hester-Dendy and Hess samples (p < 0.05). EPT richness, proportion EPT taxa and Hilsenhoff’s Biotic Index (HBI) (p < 0.0001) differed between sampler types, but taxa richness, taxa diversity and evenness (p > 0.29) did not. We collected the highest density of invertebrates at the Agate Middle site. Agate Spring Ranch had the lowest taxa richness and HBI, and the highest proportion of EPT taxa. HBI at the sites ranged from 4.0 to 6.3 (very good to fair from Hilsenhoff 1987) using the Hester-Dendy and 5.2 to 6.9 (good to fairly poor from Hilsenhoff 1987) using the Hess sampler.
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Johnson, Judith L. Ethnicity-related Stress, Mental Health, and Well-being. Fort Belvoir, VA: Defense Technical Information Center, January 2001. http://dx.doi.org/10.21236/ada399784.

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Hunter, Janine, Wayne Shand, and Lorraine van Blerk. Health and Wellbeing of Street Children and Youth. University of Dundee, October 2016. http://dx.doi.org/10.20933/100001143.

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Fairbanks, John A. Relationships of Stress Exposure to Health in Gulf War Veterans. Fort Belvoir, VA: Defense Technical Information Center, October 2001. http://dx.doi.org/10.21236/ada406137.

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Fairbank, John A. Relationships of Stress Exposures to Health in Gulf War Veterans. Fort Belvoir, VA: Defense Technical Information Center, October 2004. http://dx.doi.org/10.21236/ada432464.

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Fairbank, John A. Relationship of Stress Exposure to Health in Gulf War Veterans. Fort Belvoir, VA: Defense Technical Information Center, October 2002. http://dx.doi.org/10.21236/ada415897.

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