Academic literature on the topic 'Stress classification'
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Journal articles on the topic "Stress classification"
Kaeding, Christopher C., and Robert G. Najarian. "Stress Fractures: Classification and Management." Physician and Sportsmedicine 38, no. 3 (October 2010): 45–54. http://dx.doi.org/10.3810/psm.2010.10.1807.
Full textRoche, Roland L. "Practical procedure for stress classification." International Journal of Pressure Vessels and Piping 37, no. 1-4 (January 1989): 27–44. http://dx.doi.org/10.1016/0308-0161(89)90138-5.
Full textKalejaiye, Odunayo, Monika Vij, and Marcus John Drake. "Classification of stress urinary incontinence." World Journal of Urology 33, no. 9 (June 25, 2015): 1215–20. http://dx.doi.org/10.1007/s00345-015-1617-1.
Full textMiller, Timothy L., and Christopher Kaeding. "Stress Fractures: A New Classification System." Medicine & Science in Sports & Exercise 41 (May 2009): 84. http://dx.doi.org/10.1249/01.mss.0000353531.90405.97.
Full textBlaivas, Jerry G., and Carl A. Olsson. "Stress Incontinence: Classification and Surgical Approach." Journal of Urology 139, no. 4 (April 1988): 727–31. http://dx.doi.org/10.1016/s0022-5347(17)42611-5.
Full textDhalla, A. K. "Stress Classification for Elevated Temperature Service." Journal of Pressure Vessel Technology 113, no. 4 (November 1, 1991): 488–96. http://dx.doi.org/10.1115/1.2928785.
Full textCipresso, Pietro, Andrea Gaggioli, Silvia Serino, and Giuseppe Riva. "Stress Diffusion through Complex Networks." International Journal of Adaptive, Resilient and Autonomic Systems 3, no. 1 (January 2012): 46–64. http://dx.doi.org/10.4018/jaras.2012010103.
Full textLiu, Xinyu, Yuhao Shan, Min Peng, Huanyu Chen, and Tong Chen. "Human Stress and StO2: Database, Features, and Classification of Emotional and Physical Stress." Entropy 22, no. 9 (August 31, 2020): 962. http://dx.doi.org/10.3390/e22090962.
Full textDhole, N. P., and S. N. Kale. "Multilayer Perceptron Classification in Stress Speech Identification." International Journal of Computer Sciences and Engineering 6, no. 4 (April 30, 2018): 471–75. http://dx.doi.org/10.26438/ijcse/v6i4.471475.
Full textKang, Jun-Su, Giljin Jang, and Minho Lee. "Stress status classification based on EEG signals." Journal of the Institute of Internet Broadcasting and Communication 16, no. 3 (June 30, 2016): 103–8. http://dx.doi.org/10.7236/jiibc.2016.16.3.103.
Full textDissertations / Theses on the topic "Stress classification"
Manser, Sarina. "Wall motion classification of stress echocardiography." Thesis, University of Oxford, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.526081.
Full textGOYAL, DEVENDRA. "EVALUATING WORK-FACTOR CLASSIFICATION SYSTEM." University of Cincinnati / OhioLINK, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=ucin990816550.
Full textAigrain, Jonathan. "Multimodal detection of stress : evaluation of the impact of several assessment strategies." Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066681/document.
Full textIt is now widely accepted that stress plays an important role in modern societies. It impacts the body and the mind at several levels and the association between stress and disease has been observed in several studies. However, there is no consensual definition of stress yet, and therefore there is no consensual way of assessing it either. Thus, although the quality of assessment is a key factor to build robust stress detection solutions, researchers have to choose among a wide variety of assessment strategies. This heterogeneity impacts the validity of comparing solutions among them. In this thesis, we evaluate the impact of several assessment strategies for stress detection. We first review how different fields of research define and assess stress. Then, we describe how we collected stress data along with multiple assessments. We also study the association between these assessments. We present the behavioural and physiological features that we extracted for our experiments. Finally, we present the results we obtained regarding the impact of assessment strategies on 1) data normalization, 2) feature classification performance and 3) on the design of machine learning algorithms. Overall, we argue that one has to take a global and comprehensive approach to design stress detection solutions
Narber, Cody G. "Classification of emotion using sub audible frequencies in vocal data." Thesis, Manhattan, Kan. : Kansas State University, 2008. http://hdl.handle.net/2097/776.
Full textNazarov, Andrei V., and Alexandr A. Mikheev. "Theory of diffusion under stress." Diffusion fundamentals 2 (2005) 32, S. 1-2, 2005. https://ul.qucosa.de/id/qucosa%3A13312.
Full textShin, Sauyeun. "Classification du cancer du pancréas via une analyse du traductome." Thesis, Toulouse 3, 2020. http://www.theses.fr/2020TOU30121.
Full textPancreatic cancer, also known as pancreatic ductal adenocarcinoma (PDA) is the 4th cause of cancer related death in industrialized countries. The absence of specific clinical symptoms of this disease leads to a late diagnosis, mostly at a metastatic stage. Moreover, the current classification of PDA patients does not allow personalized patient management, which may explain the lack of efficient treatment, resulting in a poor treatment response rate and a 5-year survival rate not exceeding 7%. The important genomic heterogeneity between tumors and the high abundance of the stroma hinder the analysis of the pancreatic carcinogenesis process, and make particularly complex the targeting of a specific pathway. Different classifications of PDA tumors based on mutational landscape and genome wide transcriptomic analysis emerged principally two subtypes "basal-like" and "classical", correlating with patient overall survival but not to a particular sensitivity to a molecule class. Nonetheless, several research groups including ours, demonstrated the presence of a high deregulation in mRNA translation mechanisms in PDA, showing that the abundance of mRNA and the level of the associated protein do not always correlate. My work allowed the identification of a tumor subgroup with a particular translational signature, undetectable at the transcriptional level, through the translatome analysis of 28 pancreatic patient-derived xenografts (PDX) by unsupervised bioinformatics approaches. The Integrated Stress Response (ISR) pathway is constituvely activated in these tumors, in association with a global protein synthesis attenuation. This particularity seems to contribute in increasing resistance to stress, including ISR-activating chemotherapies, and could be explained by an increased resistance to apoptosis in these cancer cells. Nonetheless, the characterization of this subtype revealed an important dependency on a specific amino acid metabolism. As a consequence, targeting this metabolic pathway might be an interesting therapeutic approach for these pancreatic tumors
Murphy, Nova Annette. "An analysis of the relationship of gender and school geographic classification and teacher stressors in selected Oklahoma schools /." Full-text version available from OU Domain via ProQuest Digital Dissertations, 1986.
Find full textOllander, Simon. "Wearable Sensor Data Fusion for Human Stress Estimation." Thesis, Linköpings universitet, Reglerteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-122348.
Full textI syfte att klassificera och modellera stress har olika sensorer, signalegenskaper, maskininlärningsmetoder och stressexperiment jämförts. Två databaser har studerats: MIT:s förarstressdatabas och en ny databas baserad på egna experiment, där stressuppgifter har genomförts av nio försökspersoner: Trier Social Stress Test, Socially Evaluated Cold Pressor Test och d2-testet, av vilka det sistnämnda inte normalt används för att generera stress. Support vector machine-, naive Bayes-, k-nearest neighbour- och probabilistic neural network-algoritmer har jämförts, av vilka support vector machine har uppnått den högsta prestandan i allmänhet (99.5 ± 0.6 % på förardatabasen, 91.4 ± 2.4 % på experimenten). För båda databaserna har signalegenskaper såsom medelvärdet av hjärtrytmen och hudens ledningsförmåga, tillsammans med medelvärdet av beloppet av hudens ledningsförmågas derivata identifierats som relevanta. En ny signalegenskap har också introducerats, med hög prestanda i stressklassificering på förarstressdatabasen. En kontinuerlig modell har också utvecklats, baserad på den upplevda stressnivån angiven av försökspersonerna under experimenten, där support vector regression har uppnått bättre resultat än linjär regression och variational Bayesian regression.
Borén, Mirjam. "Classification of discrete stress levels in users using eye tracker and K- Nearest Neighbour algorithm." Thesis, Umeå universitet, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-176258.
Full textStange, Roland, Kenechukwu David Nnetu, and Josef A. Käs. "Cell stiffening and softening evoked by optical stress application." Diffusion fundamentals 20 (2013) 30, S. 1, 2013. https://ul.qucosa.de/id/qucosa%3A13596.
Full textBooks on the topic "Stress classification"
Davidson, Jonathan R. T., 1943- and Foa Edna B, eds. Posttraumatic stress disorder: DSM-IV and beyond. Washington, DC: American Psychiatric Press, 1993.
Find full textEberhardshtayner, Yozef, Sergey Leonovich, and Valentin Dorkin. Design models of structural building materials under multiaxial stress. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1082947.
Full textN, Petroff John, Garic G, Jones David P. 1943-, Becht C, American Society of Mechanical Engineers. Pressure Vessels and Piping Division., and Pressure Vessels and Piping Conference (1994 : Minneapolis, Minn.), eds. Recertification and stress classification issues: Presented at the 1994 Pressure Vessels and Piping Conference, Minneapolis, Minnesota, June 19-23, 1994. New York, N.Y: American Society of Mechanical Engineers, 1994.
Find full textBorchelt, Gretchen. Break them down: Systematic use of psychological torture by U.S. Forces. Cambridge, MA: Physicians for Human Rights, 2005.
Find full textEllmin, Roger. Läraryrkets tillfredsställelse och påfrestning: En empirisk metodstudie för klassificering av kritiska situationer i lärares yrkesutövning = The satisfactions and strains of the teaching profession : an empirical method study for classification of critical situations in the practice of the teaching profession. Stockholm: Stockholms universitet, 1988.
Find full textRosegen, D. L. A stream classification system. S.l: s.n, 1988.
Find full textArmstrong, David S. Characteristics and classification of least altered streamflows in Massachusetts. Reston, Va: U.S. Dept. of the Interior, U.S. Geological Survey, 2008.
Find full textPflieger, William L. Aquatic community classification system for Missouri. Jefferson City, Mo: Missouri Dept. of Conservation, 1989.
Find full textMcCain, Michael E. Stream habitat classification and inventory procedures for northern California. Eureka, CA?]: U.S. Dept. of Agriculture, Forest Service, Pacific Southwest Region, 1990.
Find full textGraffiti art styles: A classification system and theoretical analysis. Jefferson, NC: McFarland & Co., 2008.
Find full textBook chapters on the topic "Stress classification"
Kaeding, Christopher C., and Timothy L. Miller. "Classification of Stress Fractures." In Stress Fractures in Athletes, 65–75. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46919-1_5.
Full textKaeding, Christopher C., and Timothy L. Miller. "Classification of Stress Fractures." In Stress Fractures in Athletes, 51–61. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09238-6_4.
Full textBodo, Giovanni, and Enrico Ammirati. "Incontinence: Definition and Classification." In Male Stress Urinary Incontinence, 35–44. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19252-9_3.
Full textGuido, Maria, Samantha Sarcognato, Matteo Fassan, and Marco Pizzi. "Liver Cancer Classification." In Oxidative Stress in Applied Basic Research and Clinical Practice, 417–48. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15539-5_19.
Full textPhutela, Nishtha, Devanjali Relan, Goldie Gabrani, and Ponnurangam Kumaraguru. "EEG Based Stress Classification in Response to Stress Stimulus." In Artificial Intelligence and Speech Technology, 354–62. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95711-7_30.
Full textKesimli, Iffet, Serol Karalar, and Özgür Tasdemir. "Auditor Stress: Literature Review and Classification." In Accounting, Finance, Sustainability, Governance & Fraud: Theory and Application, 317–46. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-3212-7_18.
Full textRiecher-Rössler, Anita, and Anke Rohde. "Diagnostic Classification of Perinatal Mood Disorders." In Perinatal Stress, Mood and Anxiety Disorders, 6–27. Basel: KARGER, 2005. http://dx.doi.org/10.1159/000087442.
Full textLatour, Joris B., Rudo Reiling, and Jaap Wiertz. "A flexible multiple stress model: who needs a priori classification?" In Ecosystem Classification for Environmental Management, 183–98. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-017-1384-9_9.
Full textŠorf, Milan, Vladimír Eck, Ladislava Janku, and Lenka Lhotska. "Application of Neural Network for Stress Classification." In The State of the Art in Computational Intelligence, 373–75. Heidelberg: Physica-Verlag HD, 2000. http://dx.doi.org/10.1007/978-3-7908-1844-4_59.
Full textSharma, Nandita, and Tom Gedeon. "Stress Classification for Gender Bias in Reading." In Neural Information Processing, 348–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24965-5_39.
Full textConference papers on the topic "Stress classification"
"Stress and Heart Rate Variability." In The First International Workshop on Biosignal Processing and Classification. SciTePress - Science and and Technology Publications, 2005. http://dx.doi.org/10.5220/0001194000680077.
Full text"Continuous Blood Pressure Measurements in Stress Situations." In The Second International Workshop on Biosignal Processing and Classification. SciTePress - Science and and Technology Publications, 2006. http://dx.doi.org/10.5220/0001225401260134.
Full textYao, Xiao, Xiaofeng Liu, Aiming Jiang, and Ning Xu. "Stress classification in speech based on stress levels." In 2015 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW). IEEE, 2015. http://dx.doi.org/10.1109/icce-tw.2015.7216824.
Full textThanungkul, Peeranat, Nantawachara Jirakittayakorn, and Yodchanan Wongsawat. "Stress Classification During Dental Procedure." In 2022 19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON). IEEE, 2022. http://dx.doi.org/10.1109/ecti-con54298.2022.9795647.
Full textSysoev, Mikhail, Andrej Kos, Urban Sedlar, and Matev Pogacnik. "Sensors Classification for Stress Analysis: Toward Automatic Stress Recognition." In 2014 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI). IEEE, 2014. http://dx.doi.org/10.1109/iiki.2014.31.
Full textSueaseenak, Direk, Pruek Apichontivong, Pitchayes Sripitak, and Saran Sukplang. "Stress Classification System for Intelligent Wheelchair." In 2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech). IEEE, 2019. http://dx.doi.org/10.1109/lifetech.2019.8883963.
Full textKalnins, Arturs. "Stress Classification Lines Straight Through Singularities." In ASME 2008 Pressure Vessels and Piping Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/pvp2008-61746.
Full textMoon, Junhyung, Juneil Lee, Dongmi Cheon, Munhee Lee, and Kyoungwoo Lee. "Stress Recognition with State Classification Considering Temporal Variation of Stress Responses." In 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2019. http://dx.doi.org/10.1109/bibm47256.2019.8983372.
Full textWomack, Brian D., and John H. L. Hansen. "Stress independent robust HMM speech recognition using neural network stress classification." In 4th European Conference on Speech Communication and Technology (Eurospeech 1995). ISCA: ISCA, 1995. http://dx.doi.org/10.21437/eurospeech.1995-487.
Full text"TOWARDS UNOBTRUSIVE AUTOMATED SLEEP STAGE CLASSIFICATION - Polysomnography using Electrodes on the Face." In Special Session on Biofeedback Systems for Stress Reduction. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003890104870492.
Full textReports on the topic "Stress classification"
Messner, M. C., Robert I. Jetter, Yanli Wang, and T. L. Sham. Initial Development of an Improved Creep-Fatigue Design Method that Avoids the Separate Evaluation of Creep and Fatigue Damage and Eliminates the Requirement for Stress Classification. Office of Scientific and Technical Information (OSTI), August 2019. http://dx.doi.org/10.2172/1601808.
Full textMersel, Matthew K., Robert W. Lichvar, and Lindsey E. Lefebvre. A Review of Land and Stream Classifications in Support of Developing a National Ordinary High Water Mark (OHWM) Classification. Fort Belvoir, VA: Defense Technical Information Center, August 2014. http://dx.doi.org/10.21236/ada608563.
Full textBarnett, J. M. Data quality objectives for the B-Cell waste stream classification sampling. Office of Scientific and Technical Information (OSTI), May 1998. http://dx.doi.org/10.2172/10148902.
Full textBevelhimer, Mark, Chris DeRolph, and Adam Witt. Site Classification for Standard Modular Hydropower Development: Characterizing Stream Reaches by Module Need. Office of Scientific and Technical Information (OSTI), August 2018. http://dx.doi.org/10.2172/1463991.
Full textSingledecker, Steven John. Classification of the Z-Pinch Waste Stream as Low-Level Waste for Disposal. Office of Scientific and Technical Information (OSTI), March 2017. http://dx.doi.org/10.2172/1346836.
Full textMcManamay, Ryan A., Matthew J. Troia, Christopher R. DeRolph, and Nicole M. Samu. Stream Classification Tool User Manual: For Use in Applications in Hydropower-Related Evironmental Mitigation. Office of Scientific and Technical Information (OSTI), January 2016. http://dx.doi.org/10.2172/1240565.
Full textEvans, Julie, Kendra Sikes, and Jamie Ratchford. Vegetation classification at Lake Mead National Recreation Area, Mojave National Preserve, Castle Mountains National Monument, and Death Valley National Park: Final report (Revised with Cost Estimate). National Park Service, October 2020. http://dx.doi.org/10.36967/nrr-2279201.
Full textEibling, R. SALTSTONE VAULT CLASSIFICATION SAMPLES MODULAR CAUSTIC SIDE SOLVENT EXTRACTION UNIT/ACTINIDE REMOVAL PROCESS WASTE STREAM APRIL 2011. Office of Scientific and Technical Information (OSTI), September 2011. http://dx.doi.org/10.2172/1025803.
Full textBryant, M. D., B. E. Wright, and B. J. Davies. Application of a hierarchical habitat unit classification system: stream habitat and salmonid distribution in Ward Creek, southeast Alaska. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 1992. http://dx.doi.org/10.2737/pnw-rn-508.
Full textKumar, Indraneel, Lionel Beaulieu, Annie Cruz-Porter, Chun Song, Benjamin St. Germain, and Andrey Zhalnin. An Assessment of the Workforce and Occupations in the Highway, Street, and Bridge Construction Industries in Indiana. Purdue University, 2020. http://dx.doi.org/10.5703/1288284315018.
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