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Artículos de revistas sobre el tema "Smell"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 25 de julio de 2025

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1

Ahammed, Toukir, Sumon Ahmed, and Mohammed Shafiul Alam Khan. "Do Missing Link Community Smell Affect Developers Productivity: An Empirical Study." Knowledge Engineering and Data Science 4, no. 1 (2021): 29. http://dx.doi.org/10.17977/um018v4i12021p29-37.

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Missing link smell occurs when developers contribute to the same source code without communicating with each other. Existing studies have analyzed the relationship of missing link smells with code smell and developer contribution. However, the productivity of developers involved in missing link smell has not been explored yet. This study investigates how productivity differs between smelly and non-smelly developers. For this purpose, the productivity of smelly and non-smelly developers of seven open-source projects are analyzed. The result shows that the developers not involved in missing link

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2

Guggulothu, Thirupathi, and Salman Abdul Moiz. "Detection of Shotgun Surgery and Message Chain Code Smells using Machine Learning Techniques." International Journal of Rough Sets and Data Analysis 6, no. 2 (2019): 34–50. http://dx.doi.org/10.4018/ijrsda.2019040103.

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Code smell is an inherent property of software that results in design problems which makes the software hard to extend, understand, and maintain. In the literature, several tools are used to detect code smell that are informally defined or subjective in nature due to varying results of the code smell. To resolve this, machine leaning (ML) techniques are proposed and learn to distinguish the characteristics of smelly and non-smelly code elements (classes or methods). However, the dataset constructed by the ML techniques are based on the tools and manually validated code smell samples. In this a

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3

Liu, Huihui, Bixin Li, Yibiao Yang, Wanwangying Ma, and Ru Jia. "Exploring the Impact of Code Smells on Fine-Grained Structural Change-Proneness." International Journal of Software Engineering and Knowledge Engineering 28, no. 10 (2018): 1487–516. http://dx.doi.org/10.1142/s0218194018500432.

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Code smells are used to describe the bad structures in the source code, which could hinder software maintainability, understandability and changeability. Nowadays, scholars mainly focus on the impact of smell on textual change-proneness. However, in comparison to textual changes, structural changes could better reveal the change nature. In practice, not all code change types are equally important in terms of change risk severity levels, and software developers are more interested in particular changes relevant to their current tasks. Therefore, we investigate the relationship between smells an

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4

DiGiovanna, Brett. "Smell." Annals of Internal Medicine 137, no. 9 (2002): 768. http://dx.doi.org/10.7326/0003-4819-137-9-200211050-00015.

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5

Beek, Walter E. A. van. "The dirty smith: smell as a social frontier among the Kapsiki/Higi of north Cameroon and north-eastern Nigeria." Africa 62, no. 1 (1992): 38–58. http://dx.doi.org/10.2307/1160063.

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AbstractAmong the Kapsiki/Higi of the Mandara mountains the division between black-smith and non-smith pervades society. Blacksmiths dominate technical and ritual specialisations—including the forge—and through their association with death are considered dirty. One way in which this opposition is expressed is through the definition of smell.Using ideophones, the Kapsiki distinguish fourteen types of smell, each associated with specific ‘smelly’ objects, animals or persons (i.e. blacksmiths). The definition of smells by blacksmiths, however, is different from that of non-smiths; also the women

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6

Counsell, S., R. M. Hierons, H. Hamza, S. Black, and M. Durrand. "Exploring the Eradication of Code Smells: An Empirical and Theoretical Perspective." Advances in Software Engineering 2010 (March 17, 2010): 1–12. http://dx.doi.org/10.1155/2010/820103.

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Code smells reflect code decay, and, as such, developers should seek to eradicate such smells through application of “deodorant” in the form of one or more refactorings. However, a relative lack of studies exploring code smells either theoretically or empirically when compared with literature on refactoring suggests that there are reasons why smell eradication is neither being applied in anger, nor the subject of significant research. In this paper, we present three studies as supporting evidence for this stance. The first is an analysis of a set of five, open-source Java systems in which we s

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7

Sandouka, Rana, and Hamoud Aljamaan. "Python code smells detection using conventional machine learning models." PeerJ Computer Science 9 (May 29, 2023): e1370. http://dx.doi.org/10.7717/peerj-cs.1370.

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Code smells are poor code design or implementation that affect the code maintenance process and reduce the software quality. Therefore, code smell detection is important in software building. Recent studies utilized machine learning algorithms for code smell detection. However, most of these studies focused on code smell detection using Java programming language code smell datasets. This article proposes a Python code smell dataset for Large Class and Long Method code smells. The built dataset contains 1,000 samples for each code smell, with 18 features extracted from the source code. Furtherm

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8

Spinney, Laura. "You Smell Flowers, I Smell Stale Urine." Scientific American 304, no. 2 (2011): 26. http://dx.doi.org/10.1038/scientificamerican0211-26a.

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9

Schulz, Stefan, and Jeroen S. Dickschat. "Bacterial volatiles: the smell of small organisms." Natural Product Reports 24, no. 4 (2007): 814. http://dx.doi.org/10.1039/b507392h.

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10

Dekhanova, Olga A. "The Characterological Functions of Untidiness in the Works of Fyodor Dostoevsky and His Contemporaries." Dostoevsky and World Culture. Philological journal, no. 2 (2022): 144–74. http://dx.doi.org/10.22455/2619-0311-2022-2-144-174.

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The article is the continuation of a study on Dostoevsky’s olfactory in the cultural and historical context of the second half of the 19th century. The involvement of public consciousness in the formation of new hygienic standards led to fundamental changes in the olfactory of Russian literature. The gradual overcoming of aesthetic prohibitions made it possible to use unpleasant odors associated with human activity as an artistic detail with negative assessment. Smell rating (pleasant/ unpleasant) is a cultural phenomenon that largely depends on the historical, national, religious, and economi

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11

P, Clarós, Cygan A, Portela A, et al. "An Update on Smell and Sensuality." Journal of Clinical Otorhinolaryngology 3, no. 4 (2021): 01–10. http://dx.doi.org/10.31579/2692-9562/036.

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When thinking of smell, we usually consider it only as one of the five senses. Compared to the rest of senses, smell has been underestimated. By conducting a research, we will be able to discover how mistaken we are. The human sense of smell is more powerful than it's usually given credit for and plays a major role in human health and behavior than many experts in the field are aware of the sense of smell is present in our daily activities and, depending on the gender, perception may differ, as well as from the anatomical structure of the olfactory organ between genders to the stimulus of the

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12

Villar, Paulina Maria Angela, Ryan Chua, and Ruby Robles. "Smell Training in Prolonged COVID-19 PostInfectious Olfactory Dysfunction: A Case Report." Philippine Journal of Otolaryngology Head and Neck Surgery 36, no. 1 (2021): 37. http://dx.doi.org/10.32412/pjohns.v36i1.1655.

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ABSTRACT Objective: To report the case of a woman who underwent smell training for post-infectious olfactory dysfunction presumably from COVID-19. Methods: Design: Case Report Setting: Tertiary Private Training Hospital Patient: One Result: A 41-year-old woman who developed olfactory dysfunction attributed to COVID-19 underwent smell training. At baseline, her responses were mostly “no smell,” and those reported as “can smell a bit” were rated as distorted. After three months, she could now smell items that she previously could not smell, but these smells we

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13

Hasrullah, Benrad Edwin Simanjuntak, Marhaposan Situmorang, Syahrul Humaidi, and Marzuki Sinambela. "Response Characteristics of Sensor Array of Fresh Meat Detection Circuit using Conducting Polymer Sensor." IOP Conference Series: Earth and Environmental Science 1083, no. 1 (2022): 012030. http://dx.doi.org/10.1088/1755-1315/1083/1/012030.

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Abstract Consumption of meat is needed by society. The meat needed is of course fresh and quality meat. However, the quality of meat sold in the community varies greatly. Fresh and quality meat is meat that is odorless, not slimy, does not change color in certain areas. Meat that is not fresh and not of good quality is smelly meat. The odor is described as a fishy smell, a foul smell, contains sulfur and smells like ammonia. Because it is dangerous to consume rotten meat, it is necessary to have an automatic meat detection device so that it can ensure the meat is fresh and of good quality. Thi

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14

Williams, Joshua. "The Smell." Theatre Topics 31, no. 2 (2021): 195–98. http://dx.doi.org/10.1353/tt.2021.0036.

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15

Ronnett, Gabriele V., and Robert D. Barber. "Reconstructing Smell." Molecular Neurobiology 21, no. 3 (2000): 161–74. http://dx.doi.org/10.1385/mn:21:3:161.

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16

Davidson, Terence M., Claire Murphy, and Alfredo A. Jalowayski. "Smell impairment." Postgraduate Medicine 98, no. 1 (1995): 107–18. http://dx.doi.org/10.1080/00325481.1995.11946020.

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17

Henkin, RobertI. "DISORDERED SMELL." Lancet 332, no. 8616 (1988): 901–2. http://dx.doi.org/10.1016/s0140-6736(88)92493-2.

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18

AMATO, IVAN. "YOU SMELL." Chemical & Engineering News 87, no. 41 (2009): 50–54. http://dx.doi.org/10.1021/cen-v087n041.p050.

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19

Williams, Caroline. "Smell signals." New Scientist 200, no. 2685 (2008): 38–41. http://dx.doi.org/10.1016/s0262-4079(08)63099-7.

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20

Maggioni, Emanuela, Robert Cobden, Dmitrijs Dmitrenko, Kasper Hornbæk, and Marianna Obrist. "SMELL SPACE." ACM Transactions on Computer-Human Interaction 27, no. 5 (2020): 1–26. http://dx.doi.org/10.1145/3402449.

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21

Hsu, Yen-Chia, Jennifer Cross, Paul Dille, et al. "Smell Pittsburgh." ACM Transactions on Interactive Intelligent Systems 10, no. 4 (2020): 1–49. http://dx.doi.org/10.1145/3369397.

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22

Cosier, Susan. "Smell Similarity." Scientific American Mind 19, no. 4 (2008): 11. http://dx.doi.org/10.1038/scientificamericanmind0808-11a.

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23

MORIIZUMI, TOYOSAKA. "Sensing technology on tastes and smell. Smell sensors." Journal of the Institute of Electrical Engineers of Japan 123, no. 2 (2003): 104–7. http://dx.doi.org/10.1541/ieejjournal.123.104.

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24

Manigault, Laila Kiara, and Shem Unger. "Tadpoles and Turtles: Can You Smell that Smell?" International Journal of Undergraduate Research and Creative Activities 15, no. 1 (2023): 1. http://dx.doi.org/10.7710/2168-0620.0387.

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25

Mancioppi, Elena. "Osmospheric Dwelling: Smell, Smell, Food, Gender and Atmospheres." ESPES. The Slovak Journal of Aesthetics 11, no. 2 (2022): 38–53. https://doi.org/10.5281/zenodo.7489494.

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Understanding the tight connections between human dwelling and the sense of smell seems nowadays urgent. Since human being-in-the-world finds its very prerequisite in being-in-the-air, an inquiry on air design, today particularly intrusive, is a philosophical necessity. The aim of this contribution is to sketch an exploratory investigation on the aesthetic relationships between space, smell and gendered atmospheres through the case of food, specifically through its osmosphere: its flavour as its affective aura. Firstly, I discuss analogies between atmospheres and smells. Secondly, I proceed by

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26

Sharma, Pratiksha, and Er Arshpreet Kaur. "Design of testing framework for code smell detection (OOPS) using BFO algorithm." International Journal of Engineering & Technology 7, no. 2.27 (2018): 161. http://dx.doi.org/10.14419/ijet.v7i2.27.14635.

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Detection of bad smells refers to any indication in the program code of a execution that perhaps designate a issue, maintain the software and software evolution. Code Smell detection is a main challenging for software developers and their informal classification direct to the designing of various smell detection methods and software tools. It appraises 4 code smell detection tool in software like as a in Fusion, JDeodorant, PMD and Jspirit. In this research proposes a method for detection the bad code smells in software is called as code smell. Bad smell detection in software, OOSMs are used t

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27

Jiang, Dexun, Peijun Ma, Xiaohong Su, and Tiantian Wang. "Detection and Refactoring of Bad Smell Caused by Large Scale." International Journal of Software Engineering & Applications (IJSEA) 4, no. 5 (2021): 1–13. https://doi.org/10.5281/zenodo.5795429.

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Bad smells are signs of potential problems in code. Detecting bad smells, however, remains time consuming for software engineers despite proposals on bad smell detection and refactoring tools. Large Class is a kind of bad smells caused by large scale, and the detection is hard to achieve automatically. In this paper, a Large Class bad smell detection approach based on class length distribution model and cohesion metrics is proposed. In programs, the lengths of classes are confirmed according to the certain distributions. The class length distribution model is generalized to detect programs aft

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28

Kim, Dong Kwan. "Finding Bad Code Smells with Neural Network Models." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 6 (2017): 3613. http://dx.doi.org/10.11591/ijece.v7i6.pp3613-3621.

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Code smell refers to any symptom introduced in design or implementation phases in the source code of a program. Such a code smell can potentially cause deeper and serious problems during software maintenance. The existing approaches to detect bad smells use detection rules or standards using a combination of different object-oriented metrics. Although a variety of software detection tools have been developed, they still have limitations and constraints in their capabilities. In this paper, a code smell detection system is presented with the neural network model that delivers the relationship b

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29

Dong, Kwan Kim. "Finding Bad Code Smells with Neural Network Models." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 6 (2017): 3613–21. https://doi.org/10.11591/ijece.v7i6.pp3613-3621.

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Code smell refers to any symptom introduced in design or implementation phases in the source code of a program. Such a code smell can potentially cause deeper and serious problems during software maintenance. The existing approaches to detect bad smells use detection rules or standards using a combination of different object-oriented metrics. Although a variety of software detection tools have been developed, they still have limitations and constraints in their capabilities. In this paper, a code smell detection system is presented with the neural network model that delivers the relationship b

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30

Sotto-Mayor, Bruno, Amir Elmishali, Meir Kalech, and Rui Abreu. "Exploring Design smells for smell-based defect prediction." Engineering Applications of Artificial Intelligence 115 (October 2022): 105240. http://dx.doi.org/10.1016/j.engappai.2022.105240.

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31

Codabux, Zadia, Kazi Zakia Sultana, and Byron J. Williams. "The Relationship Between Code Smells and Traceable Patterns — Are They Measuring the Same Thing?" International Journal of Software Engineering and Knowledge Engineering 27, no. 09n10 (2017): 1529–47. http://dx.doi.org/10.1142/s0218194017400095.

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It is important to maintain software quality as a software system evolves. Managing code smells in source code contributes towards quality software. While metrics have been used to pinpoint code smells in source code, we present an empirical study on the correlation of code smells with class-level (micro pattern) and method-level (nano-pattern) traceable code patterns. This study explores the relationship between code smells and class-level and method-level structural code constructs. We extracted micro patterns at the class level and nano-patterns at the method level from three versions of Ap

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32

Canniford, Robin, Kathleen Riach, and Tim Hill. "Nosenography." Marketing Theory 18, no. 2 (2017): 234–48. http://dx.doi.org/10.1177/1470593117732462.

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Nosenography is a theoretical and methodological commitment to uncover the presences and practices of smell, an often-ignored sensory feature of market and consumption spaces. Drawing on prior social science theorizations of smell as well as contemporary sensory marketing practices, we develop a framework to understand how smell features in spatial assemblages of bodies, locations and experiences. Extending theorizations of product smells and ambient smells, we show how this framework can guide knowledge of the sensing, practice and management of smell and space. We explain that smell is a dyn

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33

Hsieh, Julien W., Andreas Keller, Michele Wong, Rong-San Jiang, and Leslie B. Vosshall. "SMELL-S and SMELL-R: Olfactory tests not influenced by odor-specific insensitivity or prior olfactory experience." Proceedings of the National Academy of Sciences 114, no. 43 (2017): 11275–84. http://dx.doi.org/10.1073/pnas.1711415114.

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Smell dysfunction is a common and underdiagnosed medical condition that can have serious consequences. It is also an early biomarker of neurodegenerative diseases, including Alzheimer’s disease, where olfactory deficits precede detectable memory loss. Clinical tests that evaluate the sense of smell face two major challenges. First, human sensitivity to individual odorants varies significantly, so test results may be unreliable in people with low sensitivity to a test odorant but an otherwise normal sense of smell. Second, prior familiarity with odor stimuli can bias smell test performance. We

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34

Magdi, Yoan Levia, Guntur Bayu Bima Pratama, and Erial Bahar. "RESULTS OF INTRAVENOUS ALINAMIN AND ALCOHOL EXAMINATION RESULTS IN PATIENTS COMPLAINTS OF SNACTING DISORDERS AT RSMH PALEMBANG." Jurnal Kedokteran dan Kesehatan : Publikasi Ilmiah Fakultas Kedokteran Universitas Sriwijaya 10, no. 2 (2023): 221–29. http://dx.doi.org/10.32539/jkk.v10i1.21350.

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Smell is a chemical substance mixed in the air that humans perceive with their sense of smell. Loss of smell or loss of smell has become very important in recent years. Currently, research on odor is very interesting because it can determine the type of odor, as well as the function of smell. Examination of the intravenous smell test and alcohol smell test is one of the gold standard examinations that can be done to determine the type of smell disorder. To determine the concordance between the results of the intravenous alinamin smell test and the alcohol smell test in patients with olfactory

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35

Chathuranga, Hasantha. "A Systematic Review of Code Smell Detection Approaches." Journal of Advancement in Software Engineering and Testing 4, no. 1 (2021): 1–9. https://doi.org/10.5281/zenodo.4738772.

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Code smells are symptoms of design shortcomings in source code. There are various tools and approaches have been proposed for detecting code smells. A systematic review (PRISMA) has been performed based on the search of digital libraries that includes the publications in the last decade. 70 research papers are analyzed and provide an extensive overview of existing code smell detection approaches, current trends in code smells detection, potential areas of code smell detection using new technologies. These results will facilitate developers to understand their real needs when further research o

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36

Liu, Jing. "A Study on the Visual Presentation of Smells Based on the Proust Effect." Studies in Social Science & Humanities 4, no. 2 (2025): 31–36. https://doi.org/10.56397/sssh.2025.03.05.

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This paper focuses on the visual presentation of smells under the Proust Effect, delving into the intrinsic connections between smell, memory, emotion, and culture, as well as their innovative practices and development trends in the field of design. By exploring the symbolic meanings of smells in literary works, it provides metaphorical resources for visual design and explains the cross-sensory design basis of smell visualization through the principles of neuroaesthetics. From the perspectives of semiotics and narratology, it discusses the metaphorical transformation of smell visualization and

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37

Kelley, Nicholas J., and Adrienne L. Crowell. "Self-Reported Sense of Smell Predicts Disgust Sensitivity and Disgust Reactivity." Journal of Individual Differences 39, no. 4 (2018): 191–95. http://dx.doi.org/10.1027/1614-0001/a000263.

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Abstract. Two studies tested the hypothesis that self-reported sense of smell (i.e., metacognitive insight into one’s olfactory ability) predicts disgust sensitivity and disgust reactivity. Consistent with our predictions two studies demonstrated that disgust correlates with self-reported sense of smell. Studies 1 and 2 demonstrated, from an individual difference perspective, that trait-like differences in disgust relate to self-reported sense of smell. Physical forms of disgust (i.e., sexual and pathogen disgust) drove this association. However, the association between self-reported sense of

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38

Gao, Ya-Juan, Chiung-Ling Wang, Min-Ling Huang, and Wei Guo. "A New Perspective of Sustainable Perception: Research on the Smellscape of Urban Block Space." Sustainability 14, no. 15 (2022): 9184. http://dx.doi.org/10.3390/su14159184.

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The smell of space is inseparable from the sustainable development of the living environment. The research on olfactory perception and smell landscape has a positive effect on landscape design and urban planning and contributes to the formation and design optimization of unique urban memory. This study combines urban smell tracking experiments with Internet social media data analysis to classify smells in the old city center of Guangzhou, China, and analyzes the study within the inner ring and six historic districts. Based on the research results, the smell map was drawn, and the reliability o

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Niu, Xiao Yi, Yu Wen Bai, and Xue Wang. "The Modification of Mechanical Properties of Changbai Mountain Smell Pine Used by Floor." Advanced Materials Research 430-432 (January 2012): 866–68. http://dx.doi.org/10.4028/www.scientific.net/amr.430-432.866.

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In this experiment, do smell pine impregnated pressure experiments with small molecules phenolic resin. Prepare different small molecules and phenolic resin by orthogonal.Handle the specimens. Compare the treated material with the smell pine. The optimum condition is the temperature of 60°C, PVA: P (mass ratio) = 3%, P: F: NaOH (molar ratio) = 1:1.2:0.3, the absolute pressure 2.5 Mpa, the temperature of 120 °C hot 15 minutes under the conditions. While smell pine laminated veneer lumber bending strength increased 67.53%.

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40

Sandouka, Rana, and Hamoud Aljamaan. "Python code smells detection using conventional machine learning models." PeerJ Computer Science 9 (May 29, 2023): e1370. https://doi.org/10.5281/zenodo.7512516.

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41

Drobnick, Jim. "Sense and reminiSCENT: Performance and the Essences of Memory." Canadian Theatre Review 137 (January 2009): 6–12. http://dx.doi.org/10.3138/ctr.137.001.

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If the sense of smell appears to have been eclipsed by the other senses in western culture, there is one realm in which it retains an almost mythic power — memory. reminiSCENT, a performance series curated by myself and Paul Couillard,1 acknowledged the powerful relationship between smell and memory and explored the artistic and cultural potential of this undervalued sense. Documentation in literature and science indicate that no other sense evokes memory as intensely as smell. For Marcel Proust, a whiff of a madeleine conjured up the world of childhood; for Helen Keller, smell was a “potent w

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42

Macindoe, Julie. "A sense of forgetting and remembering: Memories of smell and clothing." Clothing Cultures 5, no. 3 (2018): 377–89. http://dx.doi.org/10.1386/cc.5.3.377_1.

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This article gives focus to the residue of smell in the everyday, dressed experience. Through collected narratives and memories, the research uncovers some of the personal and shared practices in negotiating smell and clothing: The smell of a father’s jacket acts as a reconciliation, and in its transferral of ownership, constructs an identity. A jumper, sprayed with the promise and artifice of fragrance, forms an aroma of deception to negate a visual appearance. And a traveller’s wardrobe reminds that smelly clothing is not a socially neutral experience but a negotiation of our sense of self.

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Ariyanto, Yusuf, Helen Saphira, Jason Santoso, Gwyneth, and Albert Jonathan Tandiary. "Pengalaman Sense of Smell pada Arsitektur Rumah Adat Suku Osing." ATRIUM: Jurnal Arsitektur 10, no. 1 (2024): 29–37. http://dx.doi.org/10.21460/atrium.v10i1.248.

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Title: Sense of Smell Experience on Osing Traditional House Architecture Nusantara architecture results from identical thinking on cultural background and natural conditions that produce physical comfort and atmosphere resulting from the response of human senses, one of which is the sense of smell. The study focuses on the influences or sense of smell responses associated with buildings, such as building materials used, softscape, and hardscape that produce certain scents, especially in Osing Tribe's Indigenous Houses. In line with that, the study identified smells through sensory mapping and

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44

Oh, Minji, Jin-Hee Ju, and Seyoung Ju. "What Are the Sensory Attributes Associated with Consumer Acceptance of Yellow Oyster Mushrooms (Pleurotus citrinopileatus)?" Foods 13, no. 13 (2024): 2061. http://dx.doi.org/10.3390/foods13132061.

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The oyster mushroom is cultivated globally, renowned for its unique texture and umami flavor, as well as its rich content of nutrients and functional ingredients. This study aims to identify the descriptive sensory characteristics, assess the consumer acceptability of new superior lines and cultivars of yellow oyster mushrooms, in addition to exploring the relationship between these descriptive characteristics and consumer acceptability. Statistical analyses were performed using one-way analysis of variance (ANOVA), principal component analysis (PCA), and partial least squares regression (PLSR

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45

HIRONAKA, Hiromi. "Smell of PCBs." Journal of Japan Association on Odor Environment 36, no. 6 (2005): 316–22. http://dx.doi.org/10.2171/jao.36.316.

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Muller, Theresa. "Smell Ya Later." Proceedings of the Water Environment Federation 2016, no. 2 (2016): 543–67. http://dx.doi.org/10.2175/193864716821123233.

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Stokel-Walker, Chris. "Smell the roses." New Scientist 255, no. 3400 (2022): 31. http://dx.doi.org/10.1016/s0262-4079(22)01489-0.

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Baker, Gerald, and P. Weiss. "What's That Smell?" Science News 161, no. 22 (2002): 351. http://dx.doi.org/10.2307/4013337.

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Ha, Hong Kyu. "Smell and Disgust." Journal of Gamsung 22 (March 31, 2021): 29–57. http://dx.doi.org/10.37996/jog.22.2.

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Christensen, Damaris. "What's That Smell?" Science News 155, no. 20 (1999): 316. http://dx.doi.org/10.2307/4011407.

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