Academic literature on the topic 'Odors'

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Journal articles on the topic "Odors"

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Ayabe-Kanamum, Saho, Tadashi Kikuchi, and Sachiko Saito. "Effect of Verbal Cues on Recognition Memory and Pleasantness Evaluation of Unfamiliar Odors." Perceptual and Motor Skills 85, no. 1 (August 1997): 275–85. http://dx.doi.org/10.2466/pms.1997.85.1.275.

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The experiment investigated the effect of verbal cues on recognition memory for unfamiliar odors. 58 participants learned 20 odors of chemical substances. The control group learned the odors without accompanying verbal labels whereas two other groups learned the odors with accompanying verbal labels. The labels referred to relatively pleasant or unpleasant odor sources. On a memory test, administered 15 min. and also 1 wk. after the learning phase, participants were asked to recognize 10 learned odors from 10 unlearned odors and to evaluate each odor's pleasantness. Analysis showed (a) the verbal labels did not facilitate recognition of the unfamiliar odors, (b) recognition performance was lower after 1 wk. than after 15 min., and (c) rated pleasantness tended to be affected by the verbal label assigned to the odor in the learning phase.
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Burlingame, G. A. "A practical framework using odor survey data to prioritize nuisance odors." Water Science and Technology 59, no. 3 (February 1, 2009): 595–602. http://dx.doi.org/10.2166/wst.2009.872.

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There are three main questions that need to be answered to address nuisance odors at the fenceline of a wastewater treatment plant: What odors are occurring at the fenceline of the plant? What processes within the plant give rise to these odors? What priority should we assign to mitigation of the nuisance odors? The prioritization is based on three factors that make odors a nuisance: strength or intensity of the odor when it is detected; quality or description of the odor; persistence or occurrence of the odor at the fenceline. Since fenceline odors vary according to: wind direction; wind speed; atmospheric stability and obstructions (buildings, trees, roadways), this study conducted odor surveys at the fenceline of a wastewater plant between April and November for 20 surveys. The data were used to develop a practical framework in three steps: summarize fenceline (residential vs non-residential) odor survey data; use odor type category and average odor strength to determine the annoyance factor; use annoyance factor and fenceline occurrence to determine the priority rating for nuisance odors to be mitigated.
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Bo, Weichen, Yuandong Yu, Ran He, Dongya Qin, Xin Zheng, Yue Wang, Botian Ding, and Guizhao Liang. "Insight into the Structure–Odor Relationship of Molecules: A Computational Study Based on Deep Learning." Foods 11, no. 14 (July 9, 2022): 2033. http://dx.doi.org/10.3390/foods11142033.

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Molecules with pleasant odors, unacceptable odors, and even serious toxicity are closely related to human social life. It is impractical to identify the odors of molecules in large quantities (particularly hazardous odors) using experimental methods. Computer-aided methods have currently attracted increasing attention for the prediction of molecular odors. Here, through models based on multilayer perceptron (MLP) and physicochemical descriptors (MLP-Des), MLP and molecular fingerprint, and convolutional neural network (CNN), we conduct the two-class prediction of odor/no odor, fruity/no odor, floral/no odor, and woody/no odor, and the multi-class prediction of fruity/flowery/woody/no odor on our newly refined molecular odor datasets. We show that three kinds of predictors can robustly predict molecular odors. The MLP-Des model not only exhibits the best prediction results (the AUC values are 0.99 and 0.86 for the two- and multi-classification models, respectively) but can also well reflect the characteristics of the structure–odor relationship of molecules. The CNN model takes 2D molecular images as input and can automatically extract the structural features related to molecular odors. The proposed models are of great help for the prediction of molecular odorants, understanding the underlying relationship between chemical structure and odor perception, and the discovery of new odorous and/or hazardous molecules.
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Burlingame, Gary A. "Odor Profiling of Environmental Odors." Water Science and Technology 40, no. 6 (September 1, 1999): 31–38. http://dx.doi.org/10.2166/wst.1999.0254.

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There is a need to standardize a field procedure for odor profiling of environmental odors. There is a need to drive the analytical procedures toward a practical, useful method for profiling odors in contrast to highly complex instrumentation or lab-based techniques. A technique for profiling odors, and tracking odor sources will be outlined. An example of its successful use in profiling odors at a wastewater treatment plant will be described.
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Tamura, Kaori, and Tsuyoshi Okamoto. "Odor descriptive ratings can predict some odor-color associations in different color features of hue or lightness." PeerJ 11 (April 20, 2023): e15251. http://dx.doi.org/10.7717/peerj.15251.

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Background Olfactory information can be associated with color information. Researchers have investigated the role of descriptive ratings of odors on odor-color associations. Research into these associations should also focus on the differences in odor types. We aimed to identify the odor descriptive ratings that can predict odor-color corresponding formation, and predict features of the associated colors from the ratings taking into consideration the differences in the odor types. Methods We assessed 13 types of odors and their associated colors in participants with a Japanese cultural background. The associated colors from odors in the CIE L*a*b* space were subjectively evaluated to prevent the priming effect from selecting color patches. We analyzed the data using Bayesian multilevel modeling, which included the random effects of each odor, for investigating the effect of descriptive ratings on associated colors. We investigated the effects of five descriptive ratings, namely Edibility, Arousal, Familiarity, Pleasantness, and Strength on the associated colors. Results The Bayesian multilevel model indicated that the odor description of Edibility was related to the reddish hues of associated colors in three odors. Edibility was related to the yellow hues of colors in the remaining five odors. The Arousal description was related to the yellowish hues in two odors. The Strength of the tested odors was generally related to the color lightness. The present analysis could contribute in investigating the influence of the olfactory descriptive rating that anticipates the associated color for each odor.
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Carmona-Escutia, Rosa Pilar, Edith Ponce-Alquicira, María Dolores García-Parra, Socorro Josefina Villanueva-Rodríguez, and Héctor B. Escalona-Buendía. "Changes in the Sensory Odor Profile during Chorizo Maturation and Their Relationship with Volatile Compound Patterns by Partial Least Square Regression (PLS)." Foods 12, no. 5 (February 22, 2023): 932. http://dx.doi.org/10.3390/foods12050932.

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Odor is one of the most important attributes to determine the overall acceptance of a product. The aim of this investigation is to evaluate the changes in the odor profile and the volatile compounds during thirty-three days of ripening to obtain the pattern of volatile compounds necessary to integrate the odor profile of chorizo (fermented sausage), using Partial Least Squares (PLS). The chili and pork meat odors were predominant during the first five days, vinegar and fermented odors at days twelve and nineteen days, and finally a rancid odor predominated at the end. Only the vinegar, rancid, and fermented odors could be predicted with a good fit model, with the R2 coefficient above 0.5, using linear PLS, and the pork meat odor using logarithmic PLS. Each group of volatile compounds interacted in different ways; esters had a positive influence on the vinegar and rancid odors, but a negative on the fermented odor. Some volatile compounds contributed to more than one odor, such as hexanal, ethanol, and ethyl octanoate. This work allowed us to understand the pattern of volatile compounds required to generate some of the specific odors of chorizo; further studies are required to explore the effect of other food components on these patterns of odors.
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Zakrzewska, Marta, Marco Tullio Liuzza, and Jonas K. Olofsson. "Body odor disgust sensitivity (BODS) is related to extreme odor valence perception." PLOS ONE 18, no. 4 (April 21, 2023): e0284397. http://dx.doi.org/10.1371/journal.pone.0284397.

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Odors are important disease cues, and disgust sensitivity to body odors reflects individual differences in disease avoidance. The body odor disgust sensitivity (BODS) scale provides a rapid and valid assessment of individual differences. Nevertheless, little is known about how individual differences in BODS might correlate with overall odor perception or how it is related to other differences in emotional reactivity (e.g., affect intensity). We investigated how BODS relates to perceptual ratings of pleasant and unpleasant odors. We aggregated data from 4 experiments (total N = 190) that were conducted in our laboratory, and where valence and intensity ratings were collected. Unpleasant odors were body-like (e.g., sweat-like valeric acid), which may provide disease cues. The pleasant odors were, in contrast, often found in soap and cleaning products (e.g., lilac, lemon). Across experiments, we show that individuals with higher BODS levels perceived smells as more highly valenced overall: unpleasant smells were rated as more unpleasant, and pleasant smells were rated as more pleasant. These results suggest that body odor disgust sensitivity is associated with a broader pattern of affect intensity which causes stronger emotional responses to both negative and positive odors. In contrast, BODS levels were not associated with odor intensity perception. Furthermore, disgust sensitivity to odors coming from external sources (e.g., someone else’s sweat) was the best predictor of odor valence ratings. The effects were modest in size. The results validate the BODS scale as it is explicitly associated with experimental ratings of odor valence.
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Öberg, Christina, Maria Larsson, and Lars Bäckman. "Differential sex effects in olfactory functioning: The role of verbal processing." Journal of the International Neuropsychological Society 8, no. 5 (July 2002): 691–98. http://dx.doi.org/10.1017/s1355617702801424.

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AbstractWe investigated sex difference across a number of olfactory tasks. Thirty-six men and 35 women ranging in age from 19 to 36 years were assessed in 6 different tasks: absolute sensitivity for n-butanol, intensity discrimination, quality discrimination, episodic recognition memory for familiar and unfamiliar odors, and odor identification. No sex differences were observed in the tasks tapping primarily sensory acuity (i.e., odor sensitivity, intensity discrimination, and quality discrimination) or in episodic memory for unfamiliar odors. By contrast, women outperformed men in the tasks involving verbal processing (i.e., memory for familiar odors and odor identification). Interestingly, controlling for odor naming ability resulted in that the observed sex difference in episodic odor memory for familiar odors disappeared. This outcome suggests that women's superiority in episodic odor memory is largely mediated by their higher proficiency in odor identification.
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Wiesenthal, K. E., G. Amah, T. Lam, and I. H. Suffet. "The effect of applying a pipe-joint lubricant to connect ductile iron pipe on off-flavors in drinking water distribution systems." Water Science and Technology 49, no. 9 (May 1, 2004): 233–40. http://dx.doi.org/10.2166/wst.2004.0579.

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This study was used to help define the contribution to taste and odor problems caused by the application of a pipe-joint lubricant to connect ductile iron pipe in drinking water distribution systems. Tyton Joint Lubricant (TJL) was studied. The lubricant produced odors that are continually oxidized by chlorine or oxygen. The mechanism of oxidative rancidity, one of the major causes of food spoilage is the apparent mechanism of oxidation. The odors produced by the lubricant were characterized by a Flavor Profile Analysis (FPA) panel as well as GC/MS and Sensory GC analysis. The most common odors perceived in the TJL water samples for the first six days were waxy/oily and soapy odors with a rancid oil, odor note. The waxy/oily and soapy odors decreased with time in the chlorine medium as the rancid oily odor note increased. Numerous aldehydes, ketones, alcohols and borneol compounds, produced from the lubricants, were tentatively identified and linked to the odors perceived by the FPA panel.
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Sun, Xiaotian, Shuaikang Mao, Danyang Guo, and JianKun Han. "Study on the Olfactory Landscape of the Shichahai Area in Beijing." Lecture Notes in Education Psychology and Public Media 39, no. 1 (May 31, 2024): 288–301. http://dx.doi.org/10.54254/2753-7048/39/20240423.

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Odor, as a type of non-visual perception, has received relatively little attention. However, with the exacerbation of urbanization and environmental pollution, people have become more concerned about the odors in urban air. This study aims to explore the relationship between odors and cities, and to demonstrate how odors and locations are linked through design. We hope to contribute positively to urban development by visualizing odors in a form of olfactory landscape, focusing on the Shichahai area in Beijing. Odor-related data were collected through olfactory walks, and then visualized through odor maps, to gain insights into the distribution and characteristics of odors in urban landscapes. This approach can provide comprehensive information for urban planning, ensuring the livability of urban spaces and the quality of life of residents.
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Dissertations / Theses on the topic "Odors"

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So, Tak-wing. "Odour nuisance from restaurants and its control /." [Hong Kong] : University of Hong Kong, 1993. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13498563.

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Murali, Sathish kumar. "Odor sensitivity in CD-1 mice for "green" odors." Thesis, Linköpings universitet, Molekylär genetik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-68956.

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―Green‖ odors comprise a group of eight structurally related aliphatic alkenals and alkenols which are characteristic for the odor of a wide variety of plant materials. Using an automated olfactometer, the olfactory detection thresholds for ―green‖ odors were determined in six CD-1 mice and compared with that of spider monkeys and human subjects. Detection threshold values for alcoholic ‖green‖ odors (cis-3-hexen-1-ol, trans-3-hexen-1-ol, trans-2-hexen-1-ol and 1-hexanol) ranged from 8.1 x 109 to 8.1 x 1011 molecules/cm3 and for aldehydic ‖green‖ odors (cis-3-hexenal, trans-3-hexenal, trans-2-hexenal and n-hexanal) , from 8.1 x 107 to 8.1 x 1011 molecules/ cm3 . Detection threshold values of ―green‖ odor with double bond ranged from 8.1 x 107 to 8.1 x 1011 molecules/cm3 and for ―green‖ odor without double bond ranged from 8.1 x 108 to 8.1 x 1011 molecules/cm3. Detection threshold value of cis- configured ―green‖ odors ranged from 8.1 x 108 to 8.1 x 1011 molecules/ cm3 and for trans- configured ―green‖ odors threshold value ranged from 8.1 x 107 to 8.1 x 1011 molecules/ cm3. Trans-2-hexenal with a double bond at C-2 position in its molecular structure yielded the lowest detection threshold value when compared the other ―green‖ odors (8.1 x 107 to 8.1 x 109 molecules /cm3) which shows not only the presence of double bond plays a major role in detection but the position of the double bond present. A comparison between the present data and data from the other species showed that CD-1 mice displayed lower detection thresholds for all ‖green‖ odors than human subjects and spider monkeys except for the cis-3-hexen-1-ol odor. These findings suggest that the differences in the threshold values between ―green‖ odors are due to the difference in the molecular structure like the presence of double bond and the position of double bond.
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Wintermann, Gloria-Beatrice, Markus Donix, Peter Joraschky, Johannes Gerber, and Katja Petrowski. "Altered Olfactory Processing of Stress Related Body Odors and Artificial Odors in Patients with Panic Disorder." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-132093.

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Background: Patients with Panic Disorder (PD) direct their attention towards potential threat, followed by panic attacks, and increased sweat production. Onés own anxiety sweat odor influences the attentional focus, and discrimination of threat or non-threat. Since olfactory projection areas overlap with neuronal areas of a panic-specific fear network, the present study investigated the neuronal processing of odors in general and of stress-related sweat odors in particular in patients with PD. Methods: A sample of 13 patients with PD with/ without agoraphobia and 13 age- and gender-matched healthy controls underwent an fMRI investigation during olfactory stimulation with their stress-related sweat odors (TSST, ergometry) as well as artificial odors (peach, artificial sweat) as non-fearful non-body odors. Principal Findings: The two groups did not differ with respect to their olfactory identification ability. Independent of the kind of odor, the patients with PD showed activations in fronto-cortical areas in contrast to the healthy controls who showed activations in olfaction-related areas such as the amygdalae and the hippocampus. For artificial odors, the patients with PD showed a decreased neuronal activation of the thalamus, the posterior cingulate cortex and the anterior cingulate cortex. Under the presentation of sweat odor caused by ergometric exercise, the patients with PD showed an increased activation in the superior temporal gyrus, the supramarginal gyrus, and the cingulate cortex which was positively correlated with the severity of the psychopathology. For the sweat odor from the anxiety condition, the patients with PD showed an increased activation in the gyrus frontalis inferior, which was positively correlated with the severity of the psychopathology. Conclusions: The results suggest altered neuronal processing of olfactory stimuli in PD. Both artificial odors and stress-related body odors activate specific parts of a fear-network which is associated with an increased severity of the psychopathology.
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Wintermann, Gloria-Beatrice, Markus Donix, Peter Joraschky, Johannes Gerber, and Katja Petrowski. "Altered Olfactory Processing of Stress Related Body Odors and Artificial Odors in Patients with Panic Disorder." Public Library of Science, 2013. https://tud.qucosa.de/id/qucosa%3A27420.

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Background: Patients with Panic Disorder (PD) direct their attention towards potential threat, followed by panic attacks, and increased sweat production. Onés own anxiety sweat odor influences the attentional focus, and discrimination of threat or non-threat. Since olfactory projection areas overlap with neuronal areas of a panic-specific fear network, the present study investigated the neuronal processing of odors in general and of stress-related sweat odors in particular in patients with PD. Methods: A sample of 13 patients with PD with/ without agoraphobia and 13 age- and gender-matched healthy controls underwent an fMRI investigation during olfactory stimulation with their stress-related sweat odors (TSST, ergometry) as well as artificial odors (peach, artificial sweat) as non-fearful non-body odors. Principal Findings: The two groups did not differ with respect to their olfactory identification ability. Independent of the kind of odor, the patients with PD showed activations in fronto-cortical areas in contrast to the healthy controls who showed activations in olfaction-related areas such as the amygdalae and the hippocampus. For artificial odors, the patients with PD showed a decreased neuronal activation of the thalamus, the posterior cingulate cortex and the anterior cingulate cortex. Under the presentation of sweat odor caused by ergometric exercise, the patients with PD showed an increased activation in the superior temporal gyrus, the supramarginal gyrus, and the cingulate cortex which was positively correlated with the severity of the psychopathology. For the sweat odor from the anxiety condition, the patients with PD showed an increased activation in the gyrus frontalis inferior, which was positively correlated with the severity of the psychopathology. Conclusions: The results suggest altered neuronal processing of olfactory stimuli in PD. Both artificial odors and stress-related body odors activate specific parts of a fear-network which is associated with an increased severity of the psychopathology.
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Rybalsky, Konstantin A. "Semantic Influences on Episodic Memory for Odors." University of Cincinnati / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1249320184.

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Chen, Lide. "Mitigating odors from animal facilities using biofilters." [Ames, Iowa : Iowa State University], 2008.

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Schreiner, Linda [Verfasser]. "Characterization of conifer wood regarding its odor-active constituents, their structure-odor relationships, and the influence of wood odors on humans / Linda Schreiner." München : Verlag Dr. Hut, 2020. http://d-nb.info/1220568031/34.

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Pouliot, Sandra. "Recognition memory for emotionally arousing odors : a neuropsychological investigation." Thesis, McGill University, 2008. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=107473.

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The aim of this dissertation was 10 investigate if and how emotional arousalinfluences odor memory. I conducted three studies , one of which invo lved pat ients withresect ion from the medial tcmporal lobc including the amygd ala (MTLR). In the first experiment of Study 1, participants showed better memory for odo rs rated as being more emotionally arousing than tor odors rated as less arousing.
Cette dissertation avail pour objectif d'etudier si, de quelle maniere. L'eveil emotionnel influence la memoire olfactive. J'ai effectue trois etudes, dont une impliquant des patients ayant subi une resection du lobe temporal median inc1uant l'amygdalc (MTLR). Dans la premiere experience de l'etude 1, la reconnaissance des odeurs plus emotionnellement eveillantes a ete superieure a celle des odeurs moins eveillantes.
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Chan, Ming-yan. "Sheung Shui abattoir." Hong Kong : University of Hong Kong, 1995. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25949469.

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Thesis (M. Arch.)--University of Hong Kong, 1995.
Includes special study report entitled: Odour pollutant emissions control methodologies: for an abattoir and other applications. Includes bibliographical references.
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Wise, Paul M. "Latency and accuracy of same-different discriminations of odor quality between binary mixtures and their components /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2000. http://wwwlib.umi.com/cr/ucsd/fullcit?p9992387.

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Books on the topic "Odors"

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L, Cross Frank, ed. Odor control: Including hazardous/toxic odors. Lancaster: Technomic Pub. Co., 1989.

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Sterer, Nir, and Mel Rosenberg. Breath Odors. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44731-1.

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Sterer, Nir, and Mel Rosenberg. Breath Odors. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19312-5.

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González, Ulises. Olores: Odors. Edited by Guerra Wendy 1970-, Ganado Edgardo, and Museo Raúl Anguiano. Guadalajara, Jal. México: Museo R. Anguiano, 2004.

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R, Schab Frank, and Crowder Robert G, eds. Memory for odors. Mahwah, N.J: L. Erlbaum Associates, 1995.

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Plümacher, Martina, and Peter Holz, eds. Speaking of Colors and Odors. Amsterdam: John Benjamins Publishing Company, 2007. http://dx.doi.org/10.1075/celcr.8.

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Nicolay, Xavier, ed. Odors in the Food Industry. Boston, MA: Springer US, 2006. http://dx.doi.org/10.1007/978-0-387-34124-8.

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Assistance, Massachusetts Dept of Environmental Protection Office of Technical. Septage receiving facility eliminates odors. [Boston, Mass.]: Office of Technical Assistance, Executive Office of Environmental Affairs, Commonwealth of Massachusetts, 1993.

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1958-, Plümacher Martina, and Holz Peter, eds. Speaking of colors and odors. Amsterdam: J. Benjamins Pub. Co., 2007.

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Dravnieks, Andrew. Atlas of odor character profiles. Philadelphia, PA: ASTM, 1985.

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Book chapters on the topic "Odors"

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Oggiano, Maurizio, and Walter Adriani. "Odors." In Misunderstandings About Non-Verbal Communication, 121–32. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-43571-3_7.

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Sterer, Nir, and Mel Rosenberg. "Introduction." In Breath Odors, 1–3. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44731-1_1.

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Sterer, Nir, and Mel Rosenberg. "Self-Assessment of Breath Odors." In Breath Odors, 67–69. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44731-1_10.

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Sterer, Nir, and Mel Rosenberg. "Breath Odors, Prevalence, Gender, and Age." In Breath Odors, 71–75. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44731-1_11.

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Sterer, Nir, and Mel Rosenberg. "Psychological Aspects of Breath Odors." In Breath Odors, 77–81. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44731-1_12.

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Sterer, Nir, and Mel Rosenberg. "Oral Malodor Management." In Breath Odors, 83–96. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44731-1_13.

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Sterer, Nir, and Mel Rosenberg. "History of Breath Odors." In Breath Odors, 97–101. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44731-1_14.

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Sterer, Nir, and Mel Rosenberg. "Future Prospects." In Breath Odors, 103–4. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44731-1_15.

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Sterer, Nir, and Mel Rosenberg. "Breath Odors of Oral Origin (Oral Malodor)." In Breath Odors, 5–15. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44731-1_2.

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Sterer, Nir, and Mel Rosenberg. "Biochemical and Microbial Aspects of Oral Malodor Production." In Breath Odors, 17–28. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44731-1_3.

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Conference papers on the topic "Odors"

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Nailos, Mary Ann, Dan Stein, Lawrence T. Nielsen, and Anna Iwasinska. "Analysis and Identification of Off-Odor Compounds in Electronic Systems." In ISTFA 2006. ASM International, 2006. http://dx.doi.org/10.31399/asm.cp.istfa2006p0020.

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Abstract The detection and identification of substances that give rise to aromas and off-odors is often a difficult task. Perception of odors is very subjective and odor detection thresholds vary from person to person. The identification of trace levels of compounds responsible for perceived odors is difficult using conventional analytical tools. This paper will focus on a novel method for sampling and analyzing aromatic volatile compounds using an analytical system specifically designed for odor analysis.
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Smith, Jake. "Odor Monitoring and Mitigation at the Hennepin County Waste to Energy Facility." In 15th Annual North American Waste-to-Energy Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/nawtec15-003.

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Hennepin Energy Recovery Center (HERC) is a waste to energy facility owned by Hennepin County and operated by Covanta Energy. HERC has been in operation since 1989. The facility burns 365,000 tons of residential and commercial solid waste per year and generates about 34 mega-watts of electricity that is sold to Xcel Energy. HERC is located on the north side of downtown Minneapolis in the Historic Warehouse District, a neighborhood that is changing from industrial to a more commercial/residential mix with loft conversions and construction of new condominiums. The Minnesota Twins baseball team is also siting a new stadium in the parking lot immediately southeast of the facility. The potential for odors from the tipping floor of the facility affecting the neighborhood has become more of a concern due to the changes in the neighborhood. In March 2004 the County began an odor study. This included developing baseline information on odors from HERC and from the surrounding community by conducting daily odor monitoring at select points on the facility property and throughout the community: • Determining how far odors from HERC migrate into the community. • Quantifying detected odors using a Nasal Ranger. • Determining the factors that contribute to these odors. • Developing a method of controlling these odors. • Continued monitoring to determine the impact of mitigation methods. Odors detected were characterized as garbage odors, garbage-related odors, and neighborhood odors. Baseline data showed that while garbage odors from HERC were mostly undetectable beyond the perimeter of the property, there was room for improvement in decreasing the presence and intensity of these odors. The tipping hall was designed to operate under negative pressure to control odors, however the entrance and exit doors were always open and a negative pressure could not be maintained.
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Zemba, Stephen G. "Do Odors at a Waste Management Facility Indicate a Risk to Health?" In 20th Annual North American Waste-to-Energy Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/nawtec20-7038.

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Odor control is a frequent issue at facilities that process municipal solid waste. Even waste-to-energy facilities, which are typically operated under “negative pressure,” may be less than 100% effective at preventing the occasional release of odorous emissions. When odors travel off-property to nearby residents and businesses, the tangible exposure often elicits concerns about the specific chemicals responsible for the odor and the potential for the emissions to affect public health. However, because the gaseous compounds that may lead to objectionable off-site odors are generally different than those that might result in adverse health effects, conditions of odor and risk are not as closely linked as is sometimes assumed. While odors can be assessed through personal observations, the assessment of risk requires detailed knowledge of the composition of the emitted gases. The gas produced from the aerobic decay of municipal solid waste contains a different mix of chemicals that are not as well characterized than gas produced from the anaerobic decay of waste in a landfill (which has been analyzed by the U.S. EPA and others). Air samples were recently collected from the tipping floor of a waste-to-energy facility, analyzed for chemical composition, and evaluated for their potential to lead to off-site health risks. The composition of the gas was found to be similar to published data from other MSW handling facilities, and includes both basic hydrocarbons and some EPA-designated Hazardous Air Pollutants. Thirty-two different volatile organic compounds were detected. Ethanol was found to be the most prevalent compound, almost two orders of magnitude greater in concentration than other chemicals. Additional compounds identified in the gas samples include (in order of abundance) methyl ethyl ketone, acetone, sec-butanol, isopentane, acetaldehyde, butane, isopropyl alcohol, limonene, and 1-propanol. A case-specific atmospheric dispersion of the gases was modeled to predict off-site concentrations much smaller than levels known to cause adverse health effects. Based on odor characteristics of the gas, generically extrapolating the study to other settings suggests that short-term odorous conditions due to MSW management facilities (waste-to-energy facilities, transfer stations, etc.) do not typically correspond to significant long-term health risks.
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David B. Parker, Marty B. Rhoades, Jacek Koziel, and Jarett Spinhirne. "Background Odors in Tedlar® Bags Used for CAFO Odor Sampling." In 2003, Las Vegas, NV July 27-30, 2003. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2003. http://dx.doi.org/10.13031/2013.13890.

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Wang, Lingxiao, Shuo Pang, and Jinlong Li. "Learn to Trace Odors: Autonomous Odor Source Localization via Deep Learning Methods." In 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE, 2021. http://dx.doi.org/10.1109/icmla52953.2021.00230.

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Omatu, Sigeru, and Mitsuaki Yano. "Mixed odors classification by neural networks." In 2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). IEEE, 2015. http://dx.doi.org/10.1109/idaacs.2015.7340723.

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DeRosso, F. "204. Field Investigation of Environmental Odors." In AIHce 2002. AIHA, 2002. http://dx.doi.org/10.3320/1.2766129.

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Christopher G Henry, George E Meyer, Dennis D Schulte, Rick R Stowell, Ann M Parkhurst, and Ron E Sheffield. "Mask Scentometer for Assessing Ambient Odors." In 2010 Pittsburgh, Pennsylvania, June 20 - June 23, 2010. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2010. http://dx.doi.org/10.13031/2013.30041.

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Liu, Qingjun, Ning Hu, Weiwei Ye, Fenni Zhang, Hua Wang, Ping Wang, and Perena Gouma. "Odors Discrimination by Olfactory Epithelium Biosensor." In OLFACTION AND ELECTRONIC NOSE: PROCEEDINGS OF THE 14TH INTERNATIONAL SYMPOSIUM ON OLFACTION AND ELECTRONIC NOSE. AIP, 2011. http://dx.doi.org/10.1063/1.3626370.

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Kawamoto, Toshiki, Masaki Tashiro, Takamichi Nakamoto, and Manabu Okumura. "Creating Linguistic Embedding Space for Odors." In 2024 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN). IEEE, 2024. http://dx.doi.org/10.1109/isoen61239.2024.10556025.

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Reports on the topic "Odors"

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Simon, Alison G., Lauryn E. DeGreeff, Kimberly Peranich, Howard Holness, and Kenneth G. Furton. Canine Generalization to Molecularly Similar Odors and Odor Mixtures. Fort Belvoir, VA: Defense Technical Information Center, June 2018. http://dx.doi.org/10.21236/ad1056109.

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Dalton, Pamela H. Odors, Deployment Stress, and Health: A Conditioning Analysis of Gulf War Syndrome. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada416213.

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Dalton, Pamela. Odors, Deployment Stress and Health: A Conditioning Analysis of Gulf War Syndrome. Fort Belvoir, VA: Defense Technical Information Center, September 2006. http://dx.doi.org/10.21236/ada462027.

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Bulliner, Edward A., Jacek A. Koziel, Lingshuang Cai, and Donald Wright. Characterization of Livestock Odors Using Steel Plates, Solid Phase Microextraction, and Multidimensional-Gas Chromatography-Mass Spectrometry-Olfactometry. Ames (Iowa): Iowa State University, January 2007. http://dx.doi.org/10.31274/ans_air-180814-272.

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Koziel, Jacek A., Lingshuang Cai, Don Wright, and Steven J. Hoff. Solid-Phase Microextraction as a Novel Air Sampling Technology for Improved, GC-Olfactometry-Based, Assessment of Livestock Odors. Ames (Iowa): Iowa State University, January 2007. http://dx.doi.org/10.31274/ans_air-180814-280.

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Landolt, Peter, Ezra Dunkelblum, Robert Heath, and Moshe Kehat. Host Plant Kairomonal Effects on Heliothis Mate-Finding Behavior. United States Department of Agriculture, February 1993. http://dx.doi.org/10.32747/1993.7613016.bard.

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We investigated the possible attraction of species of Helicoverpa and Heliothis to host plant odors and to male pheromone as a prelude to a larger investigation of host chemical effects on moth sexual and reproductive behavior. Both sexes of H. armigera and H. peltigera were attracted to particular host plants or host plant extracts. Heliothis virescens was also found to be attracted to a flowering shrub it may use as a nectar source. Unmated females of H. armigera and H. peltigera were attracted to live males and to a male pheromone extract prepared from exposed filter papers in cages of males. Some attraction of unmated female H. zea to males was also evident, but at much lower response rate.
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Clausen, Jay, D. Moore, L. Cain, and K. Malinowski. VI preferential pathways : rule or exception. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41305.

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Trichloroethylene (TCE) releases from leaks and spills next to a large government building occurred over several decades with the most recent event occurring 20 years ago. In response to a perceived conventional vapor intrusion (VI) issue a sub-slab depressurization system (SSDS) was installed 6 years ago. The SSDS is operating within design limits and has achieved building TCE vapor concentration reductions. However, subsequent periodic TCE vapor spikes based on daily HAPSITE™ measurements indicate additional source(s). Two rounds of smoke tests conducted in 2017 and 2018 involved introduction of smoke into a sanitary sewer and storm drain manholes located on effluent lines coming from the building until smoke was observed exiting system vents on the roof. Smoke testing revealed many leaks in both the storm sewer and sanitary sewer systems within the building. Sleuthing of the VI source term using a portable HAPSITE™ indicate elevated vapor TCE levels correspond with observed smoke emanation from utility lines. In some instances, smoke odors were perceived but no leak or suspect pipe was identified suggesting the odor originates from an unidentified pipe located behind or enclosed in a wall. Sleuthing activities also found building roof materials explain some of the elevated TCE levels on the 2nd floor. A relationship was found between TCE concentrations in the roof truss area, plenum space above 2nd floor offices, and breathing zone of 2nd floor offices. Installation of an external blower in the roof truss space has greatly reduced TCE levels in the plenum and office spaces. Preferential VI pathways and unexpected source terms may be overlooked mechanisms as compared to conventional VI.
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Avery, Michael L., and Martin Lowney. Vultures. U.S. Department of Agriculture, Animal and Plant Health Inspection Service, October 2016. http://dx.doi.org/10.32747/2016.7008749.ws.

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Black and turkey vultures cause problems in several ways. The most common problems associated with vultures are structural damage, loss of aesthetic value and property use related to offensive odors and appearance, depredation to livestock and pets, and air traffic safety. Management of these diverse problems often can be addressed by targeting the source of the birds causing the problem, namely the roost where the birds spend the night. Often the roost itself is the problem, such as when birds roost on a communication tower and foul the equipment with their feces or when they roost in a residential area. Several methods are available for roost dispersal. Vultures are protected by the Migratory Bird Treaty Act, and are managed by the federal government. Vultures may be harassed without federal permits, but can be killed only after obtaining a Migratory Bird Depredation Permit from the U.S. Fish and Wildlife Service. State wildlife agencies may require state permits prior to killing migratory birds.
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Cai, Lingshuang, Jacek A. Koziel, Jeremiah Davis, Yin-Cheung Lo, and Hongwei Xin. Characterization of Volatile Organic Compounds and Odors by in vivo Sampling of Beef Cattle Rumen Gas Using Solid Phase Microextraction and Gas Chromatography-Mass Spectrometry-Olfactometry. Ames (Iowa): Iowa State University, January 2007. http://dx.doi.org/10.31274/ans_air-180814-58.

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Landolt, Peter, Ezra Dunkelblum, Robert R. Heath, and Moshe Kehat. Host Plant Chemical Mediation of Heliothis Reproductive Behavior. United States Department of Agriculture, October 1992. http://dx.doi.org/10.32747/1992.7568753.bard.

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Phytophagous insects respond to chemicals from their host plants in a number of ways, including orientation or attraction in response to volatiles produced by plants. Orientation to odors from host plants may occur in order to locate food, mates, or oviposition sites. A detailed understanding of these behaviors are the chemical stimuli evoking them may provide useful means for attracting and trapping insect pests of crop plants. Heliothine moths (Helicoverpa and Heliothis herein) include a number of major pests of cultivated crop plants throughout the world. In North America, these include Heliothis virescens and Helicoverpa zea. In much of Eurasia (including Israel) Australia, and Africa, these include Helicoverpa armigera and Helicoverpa peltigera. These 4 species of concern all are attracted to odorants from host plants (Tingle and Mitchell 2992, Mitchell et al 1991, 1992 BARD feasibility study report). Host plant chemicals also play a role in the sexual behavior of Helicoverpa species. Synthesis and possibly release of sex pheromone in H. zea and H. phloxiphaga is stimulated by kairomones from hosts plants (Raina 1988, 1992). Pheromona scent marking on host plants also occurs in H. virescens and H. zea. Studies of several other insects, including the cabbage looper Trichoplusia ni, have a variety of other behaviors may occur in association with host plants, including the use of plants as sexual rendesvous sites and of direct involvement of plant chemicals in sexual behavior. Some pest species of moths also may use host plants as adult food sources. These studies were undertaken to develop a more thorough understanding of how Heliothis/Helicoverpa moths use host plant odorants to locate and select foods, mates, and oviposition sites. We used Heliothis virescens and Helicoverpa zea in Florida, and Helicoverpa armigera and Helicoverpa peltigera in Israel as objects of study because of their pest status. It is hoped that such an understanding will provide direction for work to discover and develop novel means to control these pests through behavioral manipulation. The specific objectives of the proposal were to 1) identify host odor affects on known Heliothine sexual behavior, 2) identify novel sexual behavior that is how dependent, 3) isolate and characterize host kairomones important to pest Heliothine host and mate-location behavior, and 4) investigate female attraction to males.
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