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Автор: Grafiati

Опубліковано: 14 березня 2023

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1

Close, T. J. "The Barley Microarray. A Community Vision and Application to Abiotic Stress." Czech Journal of Genetics and Plant Breeding 41, No. 4 (November 21, 2011): 144–52. http://dx.doi.org/10.17221/3660-cjgpb.

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A microarray chip representing approximately 20 000 barley unigenes was produced as part of a USA project entitled “An integrated physical and expression map of barley for Triticeae improvement”. The content of the chip was derived from more than 400 000 barley “Expressed Sequence Tag” (EST) sequences received from cooperators inUSA,Germany,Australia,Japan,Scotland, andFinland, plus about 1000 sequences retrieved from the GenBank nr database or GrainGenes. All EST sequences were trimmed to high quality regions, contaminants were identified and removed, and the remaining information was compiled using the CAP3 assembly program. A “stringent” assembly (paralogs separated) contained about 53 000 “unigenes” (the sum of contigs plus singletons), among which about 50% had reliable 3' ends and were therefore suitable for chip content. From these, probe sets were designed and the “Barley1” chip fabricated by Affymetrix. Complete details on the content of the barley microarray, and enhanced probe-set annotations, can be obtained using the software HarvEST:Barley, available from http://harvest.ucr.edu. The availability of an Affymetrix barley microarray has facilitated the study of gene expression on a large scale. Replicated experiments have revealed commonalities and differences between responses to abiotic stresses, and inherent differences between barley genotypes. The design and a brief summary of the results of drought stress experiments are stated.  

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2

Zhou Wu, 周骛, 王芳婷 Wang Fangting, 王宵宵 Wang Xiaoxiao, 唐欣然 Tang Xinran та 蔡小舒 Cai Xiaoshu. "基于双目视觉多曝光的粒子轨迹测速方法研究". Acta Optica Sinica 41, № 12 (2021): 1215001. http://dx.doi.org/10.3788/aos202141.1215001.

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3

Christal Joenso, Reivandy. "Serial Vision as a Character Forming Element of Visual Corridors Diponegoro Street Salatiga." Engineering and Technology Journal 07, no. 10 (October 14, 2022): 1576–83. http://dx.doi.org/10.47191/etj/v7i10.05.

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Diponegoro Street is one of the main roads in Salatiga City, where there are still many buildings from the Dutch Colonial and vegetation in the form of large trees which visually gives its own characteristics and can describe Salatiga City as a resting place in the past. Over time, the Diponegoro road underwent a physical change in line with urban needs. It is feared that there will be a shift in the visual character so that this study aims to determine the visual character of the corridor which can be done through serial vision analysis. The method used is a descriptive exploratory approach where the researcher acts as the main instrument in digging and analyzing field data. The results show that the character of the Diponegoro Street corridor as a heritage area of the Dutch Colonial is getting stronger towards the east which is marked by the dominance of the Dutch Colonial buildings, vegetation in the form of large trees, and elements on street furniture with classical designs.

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4

Cipolli, Carlo, and Pio Enrico Ricci Bitti. "La nascita e lo sviluppo della Psicologia nell'Università di Bologna dal 1950." RICERCHE DI PSICOLOGIA, no. 2 (October 2021): 61–84. http://dx.doi.org/10.3280/rip2021oa12597.

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Renzo Canestrari (1924-2017) è stato uno dei più prestigiosi psicologi italiani del XX secolo. È stato professore ordinario di Psicologia (poi Psicologia generale) nella Facoltà di Medicina e Chirurgia dal 1960 al 1999. Laureato in Pedagogia nel 1946 e in Medicina e Chirurgia nel 1951, ha effettuato un'attività di ricerca in vari ambiti della psicologia sperimentale ed evolutiva, ovvero la percezione visiva (utilizzando paradigmi della psicologia della Gestalt e del funzionalismo) e il funzionamento dei processi cognitivi ed emozionali nei bambini e negli adolescenti. Ha esercitato anche un ruolo importante nella promozione di studi collaborativi (condotti con metodiche diagnostiche, psicometriche e strumentali) tra psicologi e clinici medici sulle relazioni tra stress e sintomi di varie patologie psicosomatiche, favorendo in tal modo la crescita della Psicologia Clinica nelle Facoltà italiane di Medicina e Chirurgia. Fin dagli ultimi anni '60 ha fornito a molti giovani ricercatori collaboratori l'opportunità di fare ricerca nel suo Istituto di Psicologia, nel quale vi era un numero rilevante di laboratori per la ricerca sperimentale e di ambulatori per attività diagnostiche e psicoterapiche su bambini e adolescenti. Il risultato più importante della sua lunga attività didattica è stato l'inserimento della Psicologia generale e della Psicologia clinica nel core curriculum della laurea magistrale in Medicina e Chirurgia e nelle lauree delle professioni sanitarie.

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5

Ahmed, Solaiman, Tanveer Ahmed Bhuiyan, and Manabu Nii. "PPG Signal Morphology-Based Method for Distinguishing Stress and Non-Stress Conditions." Journal of Advanced Computational Intelligence and Intelligent Informatics 26, no. 1 (January 20, 2022): 58–66. http://dx.doi.org/10.20965/jaciii.2022.p0058.

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In this study, the morphology of the PPG signal has been analyzed to be a potential cardiovascular marker for physiological stress. The morphology of the PPG signal was quantified as signal quality index by comparing the template beat (extracted from resting conditions) to the PPG beats recorded during vigorous physical activity. Data was taken from eight subjects where they performed some physical activities ranging from low to high intensity. It was found that, the mean and standard deviation of correlation coefficient between non-stress condition template beat and annotated PPG beat, 89.43±5.17 (%) and 44.23±10.48 (%) for non-stress and stress beat respectively with P value of 2.04*10-06 shows significantly difference between correlation coefficients (stress and non-stress). Whereas, mean and standard deviation of dynamic time warping correlation coefficients are 93.43±5.06 (%) and 85.93±4.18 (%) for non-stress and stress beat respectively with P value of .04. The morphology results corroborate the findings from the traditional HRV parameters generally used for stratifying stress.

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6

Chalifoux, Brandon D., Ralf K. Heilmann, and Mark L. Schattenburg. "Correcting flat mirrors with surface stress: analytical stress fields." Journal of the Optical Society of America A 35, no. 10 (September 17, 2018): 1705. http://dx.doi.org/10.1364/josaa.35.001705.

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7

Shan, Yuhao, Shigang Li, and Tong Chen. "Respiratory signal and human stress: non-contact detection of stress with a low-cost depth sensing camera." International Journal of Machine Learning and Cybernetics 11, no. 8 (February 24, 2020): 1825–37. http://dx.doi.org/10.1007/s13042-020-01074-x.

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8

Hong, Kan, Guodong Liu, Wentao Chen, and Sheng Hong. "Classification of the emotional stress and physical stress using signal magnification and canonical correlation analysis." Pattern Recognition 77 (May 2018): 140–49. http://dx.doi.org/10.1016/j.patcog.2017.12.013.

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9

Lu, Jingli, Ruili Wang, and Liyanage C. De Silva. "Automatic stress exaggeration by prosody modification to assist language learners perceive sentence stress." International Journal of Speech Technology 15, no. 2 (November 11, 2011): 87–98. http://dx.doi.org/10.1007/s10772-011-9124-2.

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10

Rietveld, A. C. M., and F. J. Koopmans-van Beinum. "Vowel reduction and stress." Speech Communication 6, no. 3 (September 1987): 217–29. http://dx.doi.org/10.1016/0167-6393(87)90027-6.

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11

Hong, Kan, and Sheng Hong. "Real-time stress assessment using thermal imaging." Visual Computer 32, no. 11 (October 26, 2015): 1369–77. http://dx.doi.org/10.1007/s00371-015-1164-1.

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12

Fernandez, Raul, and Rosalind W. Picard. "Modeling drivers’ speech under stress." Speech Communication 40, no. 1-2 (April 2003): 145–59. http://dx.doi.org/10.1016/s0167-6393(02)00080-8.

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13

Yao, Xiao, Zhengyan Sheng, Min Gu, Haibin Wang, Ning Xu, and Xiaofeng Liu. "Attention mechanism based LSTM in classification of stressed speech under workload." Intelligent Data Analysis 25, no. 6 (October 29, 2021): 1603–27. http://dx.doi.org/10.3233/ida-205429.

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In order to improve the robustness of speech recognition systems, this study attempts to classify stressed speech caused by the psychological stress under multitasking workloads. Due to the transient nature and ambiguity of stressed speech, the stress characteristics is not represented in all the segments in stressed speech as labeled. In this paper, we propose a multi-feature fusion model based on the attention mechanism to measure the importance of segments for stress classification. Through the attention mechanism, each speech frame is weighted to reflect the different correlations to the actual stressed state, and the multi-channel fusion of features characterizing the stressed speech to classify the speech under stress. The proposed model further adopts SpecAugment in view of the feature spectrum for data augment to resolve small sample sizes problem among stressed speech. During the experiment, we compared the proposed model with traditional methods on CASIA Chinese emotion corpus and Fujitsu stressed speech corpus, and results show that the proposed model has better performance in speaker-independent stress classification. Transfer learning is also performed for speaker-dependent classification for stressed speech, and the performance is improved. The attention mechanism shows the advantage for continuous speech under stress in authentic context comparing with traditional methods.

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14

Gansner, E. R., Yifan Hu, and S. North. "A Maxent-Stress Model for Graph Layout." IEEE Transactions on Visualization and Computer Graphics 19, no. 6 (June 2013): 927–40. http://dx.doi.org/10.1109/tvcg.2012.299.

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15

Snyder, Allan W., and Adrian Ankiewicz. "Anisotropic fibers with nonaligned optical (stress) axes." Journal of the Optical Society of America A 3, no. 6 (June 1, 1986): 856. http://dx.doi.org/10.1364/josaa.3.000856.

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16

Ariyawansa, Ashan, Kevin Liang, and Thomas G. Brown. "Polarization singularities in a stress-engineered optic." Journal of the Optical Society of America A 36, no. 3 (February 5, 2019): 312. http://dx.doi.org/10.1364/josaa.36.000312.

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17

Beiranvand, Alimohammad, Ramin Kazemi, ‎Akram Kohansal, and Farshin‎ ‎. Hormozinejad. "A New Flexible Stress-Strength Model." Statistics, Optimization & Information Computing 10, no. 4 (December 15, 2021): 1072–94. http://dx.doi.org/10.19139/soic-2310-5070-1230.

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‎To introduce a flexible stress-strength model‎, ‎statistical inference of the stress-strength parameter $R=P(X<Y)$‎, ‎when stress $X$ and strength $Y$ are two independent‎ two-parametre new Weibull-Fr\'{e}chet variables‎, ‎is considered under Type II progressive censored samples‎. ‎The MLE‎, ‎AMLE‎, ‎asymptotic confidence intervals‎, ‎Bayes estimate and HPD intervals of $R$ are achieved in three different cases‎. ‎Also‎, ‎to compare the performance of three different methods‎, ‎we apply the Monte Carlo simulations and also analyze a data set for illustrative aims‎.

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18

Crossno, P., D. H. Rogers, R. M. Brannon, D. Coblentz, and J. T. Fredrich. "Visualization of Geologic Stress Perturbations Using Mohr Diagrams." IEEE Transactions on Visualization and Computer Graphics 11, no. 5 (September 2005): 508–18. http://dx.doi.org/10.1109/tvcg.2005.86.

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19

Meyerhenke, Henning, Martin Nollenburg, and Christian Schulz. "Drawing Large Graphs by Multilevel Maxent-Stress Optimization." IEEE Transactions on Visualization and Computer Graphics 24, no. 5 (May 1, 2018): 1814–27. http://dx.doi.org/10.1109/tvcg.2017.2689016.

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20

Szaszák, György, Máté Ákos Tündik, and Branislav Gerazov. "Prosodic stress detection for fixed stress languages using formal atom decomposition and a statistical hidden Markov hybrid." Speech Communication 102 (September 2018): 14–26. http://dx.doi.org/10.1016/j.specom.2018.06.005.

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21

Gupta, Richa, M. Afshar Alam, and Parul Agarwal. "Whale optimization algorithm fused with SVM to detect stress in EEG signals." Intelligent Decision Technologies 15, no. 1 (March 24, 2021): 87–97. http://dx.doi.org/10.3233/idt-200047.

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Identifying stress and its level has always been a challenging area for researchers. A lot of work is going on around the world on the same. An attempt has been made by the authors in this paper as they present a methodology for detecting stress in EEG signals. Electroencephalogram (EEG) is commonly used to acquire brain signal activity. Though there exist other techniques to extract the same like Functional magnetic resonance imaging (fMRI), positron emission tomography (PET) we have used EEG as it is economical. We have used an open-source dataset for EEG data. Various images are used as the target stressor for collecting EEG signals. After feature selection and extraction, a support vector machine (SVM) with a whale optimization algorithm (WOA) in its kernel function for classification is used. WOA is a bio-inspired meta-heuristic algorithm, based on the hunting behavior of humpback whales. Using this method, we had obtained 91% accuracy for detecting the stress. The paper also compared the previous work done in detecting stress with the work proposed in this paper.

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22

Chen, Fujiang. "Three dimensional image of stress space geotechnical constitutive model." Journal of Visual Communication and Image Representation 60 (April 2019): 398–406. http://dx.doi.org/10.1016/j.jvcir.2019.03.012.

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23

Kiriakos, Bernard, and Douglas O'Shaughnessy. "Lexical stress detection in isolated English words." Speech Communication 8, no. 2 (June 1989): 113–24. http://dx.doi.org/10.1016/0167-6393(89)90038-1.

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24

Grabe, Esther, Paul Warren, and Francis Nolan. "Resolving category ambiguities — evidence from stress shift." Speech Communication 15, no. 1-2 (October 1994): 101–14. http://dx.doi.org/10.1016/0167-6393(94)90045-0.

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25

Pekkala, Laura, and Riku Roihankorpi. "An Artistic Community and a Workplace." Nordic Theatre Studies 30, no. 1 (August 2, 2018): 115–43. http://dx.doi.org/10.7146/nts.v30i1.106926.

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The article analyzes how money interacts with the practices and organizational activities of independent theatres in Finland in the 2010s. It discusses what kind of development the interaction entails or favors in the wider context of Finnish cultural policy. We share the results of Visio (2015-16), an empirical study and development project funded by the Ministry of Education and Culture and carried out with four professional independent theatres, which originated as group theatres, but are now institutionalized and operate with discretionary state subsidies. During the development project supported by Theatre Centre Finland, the study observed aspects of organizational development and learning as well as sustainable work in the said theatres. This was done via ethnographic and multiple case study methodologies. The study defined a theatre organization as a community for artistic work and a workplace for a diverse group of theatre professionals. The cases and the ethnographies were then reflected against current Finnish cultural policy.As descendants of the group theatre movement – arising from artistic ambition and opposition to commercialism – Finnish independent theatres have developed in different directions in their ideas of theatre, artistic visions, objectives, production models, and positioning in the field. Yet, there is a tendency to define independent theatres in opposition to theatres subsidized by law (the so-called VOS theatres), instead of laying stress on their specific artistic or operational visions or characteristics. This emphasis is present in public discussions, but also in the self-definitions of independent theatres. Money, and the economic affairs it underlines, strongly interact with the development, organizational learning, and working culture of Finnish independent theatres. Theoretically, we promote a Simmelian framework that stresses the socio-cultural dimension of money. Thus, we examine how the practices of the monetary economy are present in the practices and the development of independent theatres, and how this reflects their position within the current cultural policy and funding systems. Based on the above, the article suggests a more versatile approach to artistic independent theatres – one that emphasizes recognizing the heterogeneity of their operating models and artistic orientations, and their roles as diverse artistic communities aside from workplaces.

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26

García-Martínez, Beatriz, Antonio Fernández-Caballero, Raúl Alcaraz, and Arturo Martínez-Rodrigo. "Assessment of dispersion patterns for negative stress detection from electroencephalographic signals." Pattern Recognition 119 (November 2021): 108094. http://dx.doi.org/10.1016/j.patcog.2021.108094.

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27

Ariyawansa, Ashan, Kevin Liang, and Thomas G. Brown. "Polarization singularities in a stress-engineered optic: erratum." Journal of the Optical Society of America A 36, no. 10 (September 30, 2019): 1777. http://dx.doi.org/10.1364/josaa.36.001777.

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28

Wallergård, Mattias, Peter Jönsson, Gerd Johansson, and Björn Karlson. "A Virtual Reality Version of the Trier Social Stress Test: A Pilot Study." Presence: Teleoperators and Virtual Environments 20, no. 4 (August 1, 2011): 325–36. http://dx.doi.org/10.1162/pres_a_00052.

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One of the most common methods of inducing stress in the laboratory in order to examine the stress response in healthy and clinical populations is the Trier Social Stress Test (TSST). Briefly, the participant is asked to deliver a speech and to perform an arithmetic task in front of an evaluating committee. The committee, consisting of three trained actors, does not respond emotionally during the test, which makes the situation very stressful for the participant. One disadvantage of the TSST is that it can be difficult to hold the experimental conditions constant. In particular, it may be difficult for actors to hold their acting constant across all sessions. Furthermore, there are several practical problems and costs associated with hiring professional actors. A computerized version of the TSST using virtual humans could be a way to avoid these problems provided that it is able to induce a stress response similar to the one of the original TSST. The purpose of the present pilot study was therefore to investigate the stress response to a virtual reality (VR) version of the TSST visualized using an immersive VR system (VR-TSST). Seven healthy males with an average age of 24 years (range: 23–26 years) performed the VR-TSST. This included delivering a speech and performing an arithmetic task in front of an evaluating committee consisting of three virtual humans. The VR equipment was a CAVE equipped with stereoscopy and head tracking. ECG and respiration were recorded as well as the participant's behavior and comments. Afterward, a semi-structured interview was carried out. In general, the subjective and physiological data from the experiment indicated that the VR version of the TSST induced a stress response in the seven participants. In particular, the peak increase in heart rate was close to rates observed in studies using the traditional TSST with real actors. These results suggest that virtual humans visualized with an immersive VR system can be used to induce stress under laboratory conditions.

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29

Dick, C., J. Georgii, R. Burgkart, and R. Westermann. "Stress Tensor Field Visualization for Implant Planning in Orthopedics." IEEE Transactions on Visualization and Computer Graphics 15, no. 6 (November 2009): 1399–406. http://dx.doi.org/10.1109/tvcg.2009.184.

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30

Vasiljević, Tea, and Markus Proft. "Regulation of the pleiotropic drug resistance transcription factors Pdr1 and Pdr3 in yeast." St open 2 (September 24, 2021): 1–17. http://dx.doi.org/10.48188/so.2.7.

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Анотація:

Aim: To understand how transcriptional factors Pdr1 and Pdr3, belonging to the pleiotropic drug resistance system, are activated, and regulated after introducing chemical tox- ins to the cell in the model organism Saccharomyces cere-visiae. Methods: Series of molecular methods were applied using different strains ofS. cerevisiae over-expressing proteins of interest as a eukaryotic cell model. The chemical stress in- troduced to the cell is represented by menadione. Results were obtained performing protein detection and analysis. Additionally, the regulation of the DNA binding of the tran- scriptional activators after stimulation is quantified using chromatin immunoprecipitation, employing epitope-tagged factors and real-time qPCR. Results: Our results indicated higher expression levels of the Pdr1 transcriptional factor, compared to its homolo- gous Pdr3 after treatment with menadione. The yeast-cell defence system was tested against various organic solvents to exclude the possibility of their presence potentially af- fecting the results. The results indicate that Pdr1 is most abundant after 30 minutes from the beginning of the treat- ment, compared with 240 minutes after the treatment when the function of the transcription factor is faded. It appears that Pdr1 binding to the PDR5 and SNQ2 promoters, which are both activated by Pdr1, peaks around the same time, or more precisely after 40 minutes from the start of the treatment. Conclusion: The tendency of Pdr1 reduction after its activa- tion by menadione is detected. One possibility is that Pdr1, after recognizing the xenobiotic menadione, is removed by a degradation mechanism. Given the fact that Pdr1 directly binds the xenobiotic molecule, its destruction might help the cells to remove toxic levels of menadione. It is possible that overexpressing the part of Pdr1 which recognizes me- nadione alone was sufficient to detoxify and hence produce a tolerance towards menadione.

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31

Matsushita, Yutaka, and Syunsuke Maeda. "Bayesian Network Model that Infers Purchase Probability in an Online Shopping Site." Journal of Advanced Computational Intelligence and Intelligent Informatics 17, no. 2 (March 20, 2013): 221–26. http://dx.doi.org/10.20965/jaciii.2013.p0221.

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In order to understand the properties of online shopping that contribute to visitors’ purchasing habits, we have developed a Bayesian network model that infers the probability of purchase from eye movement and web log data. The results obtained from this model imply that a short visit time on catalog pages and a high frequency of fixation on all pages are related to increased purchase probability. Furthermore, it is shown that websites conforming to Internet Usability Guidelines (IUG)make visitors feel little stress regardless of browsing patterns, and that websites not conforming to IUG require a very short visit time on catalog pages if low stress is to be maintained.

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32

Begou, Thomas, Fabien Lemarchand, Frédéric Lemarquis, Antonin Moreau, and Julien Lumeau. "High-performance thin-film optical filters with stress compensation." Journal of the Optical Society of America A 36, no. 11 (October 29, 2019): C113. http://dx.doi.org/10.1364/josaa.36.00c113.

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33

Lee, S. F., and G. M. Swallowe. "Direct measurement of high rate stress–strain curves using instrumented falling weight and high-speed photography." Imaging Science Journal 52, no. 4 (December 2004): 193–201. http://dx.doi.org/10.1179/136821904225011672.

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34

Dmitruk, A., and E. Snezhko. "Reconstruction and analysis of the hip joint stress using finite-element modeling." Pattern Recognition and Image Analysis 19, no. 1 (March 2009): 89–91. http://dx.doi.org/10.1134/s1054661809010167.

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35

Kumar, Akshi, Kapil Sharma, and Aditi Sharma. "Hierarchical deep neural network for mental stress state detection using IoT based biomarkers." Pattern Recognition Letters 145 (May 2021): 81–87. http://dx.doi.org/10.1016/j.patrec.2021.01.030.

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36

Ungurean, Catalin, Dragos Burileanu, and Aurelian Dervis. "A statistical approach to lexical stress assignment for TTS synthesis." International Journal of Speech Technology 12, no. 2-3 (September 2009): 63–73. http://dx.doi.org/10.1007/s10772-009-9062-4.

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37

Zhu, Lifeng, Rubin Ren, Dapeng Chen, Aiguo Song, Jia Liu, Ning Ye, and Yin Yang. "Feel the inside: A haptic interface for navigating stress distribution inside objects." Visual Computer 36, no. 10-12 (September 1, 2020): 2445–56. http://dx.doi.org/10.1007/s00371-020-01891-9.

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38

Liang, Kevin, Ashan Ariyawansa, Omar S. Magaña-Loaiza, and Thomas G. Brown. "Theoretical analysis of quantum random walks with stress-engineered optics." Journal of the Optical Society of America A 37, no. 1 (December 20, 2019): 135. http://dx.doi.org/10.1364/josaa.37.000135.

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van den Heuvel, Henk, David van Kuijk, and Lou Boves. "Modeling lexical stress in continuous speech recognition for Dutch." Speech Communication 40, no. 3 (May 2003): 335–50. http://dx.doi.org/10.1016/s0167-6393(02)00085-7.

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van Kuijk, David, and Loe Boves. "Acoustic characteristics of lexical stress in continuous telephone speech." Speech Communication 27, no. 2 (March 1999): 95–111. http://dx.doi.org/10.1016/s0167-6393(98)00069-7.

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Deshmukh, Om D., and Ashish Verma. "Nucleus-level clustering for word-independent syllable stress classification." Speech Communication 51, no. 12 (December 2009): 1224–33. http://dx.doi.org/10.1016/j.specom.2009.06.006.

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MUHAMMAD UMAR SAEED, Sanay, Syed MUHAMMAD ANWAR, and Muhammad MAJID. "Quantification of Human Stress Using Commercially Available Single Channel EEG Headset." IEICE Transactions on Information and Systems E100.D, no. 9 (2017): 2241–44. http://dx.doi.org/10.1587/transinf.2016edl8248.

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Schwalbach, Marc, Tom Verstraete, and Nicolas R. Gauger. "Discrete adjoint gradient evaluations for linear stress and vibration analysis." Computing and Visualization in Science 21, no. 1-6 (June 14, 2019): 23–31. http://dx.doi.org/10.1007/s00791-019-00317-x.

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Hayata, Kazuya, and Masanori Koshiba. "Characteristics of graded-core stress-applied polarization-maintaining single-mode fibers." Journal of the Optical Society of America A 5, no. 4 (April 1, 1988): 535. http://dx.doi.org/10.1364/josaa.5.000535.

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Wang, Yunhai, Yanyan Wang, Yinqi Sun, Lifeng Zhu, Kecheng Lu, Chi-Wing Fu, Michael Sedlmair, Oliver Deussen, and Baoquan Chen. "Revisiting Stress Majorization as a Unified Framework for Interactive Constrained Graph Visualization." IEEE Transactions on Visualization and Computer Graphics 24, no. 1 (January 2018): 489–99. http://dx.doi.org/10.1109/tvcg.2017.2745919.

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Bissiri, Maria Paola, and Hartmut R. Pfitzinger. "Italian speakers learn lexical stress of German morphologically complex words." Speech Communication 51, no. 10 (October 2009): 933–47. http://dx.doi.org/10.1016/j.specom.2009.03.001.

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Yerigeri, Vaijanath V., and L. K. Ragha. "Meta-heuristic approach in neural network for stress detection in Marathi speech." International Journal of Speech Technology 22, no. 4 (September 20, 2019): 937–57. http://dx.doi.org/10.1007/s10772-019-09631-8.

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Congleton, Jerome J., William A. Jones, Samuel G. Shiflett, Kevin P. McSweeney, and R. Dale Huchingson. "An evaluation of voice stress analysis techniques in a simulated AWACS environment." International Journal of Speech Technology 2, no. 1 (May 1997): 61–69. http://dx.doi.org/10.1007/bf02539823.

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Simon, Svenja, Sebastian Mittelstädt, Bum Chul Kwon, Andreas Stoffel, Richard Landstorfer, Klaus Neuhaus, Anna Mühlig, Siegfried Scherer, and Daniel A. Keim. "VisExpress: Visual exploration of differential gene expression data." Information Visualization 16, no. 1 (July 25, 2016): 48–73. http://dx.doi.org/10.1177/1473871615612883.

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Анотація:

Biologists are keen to understand how processes in cells react to environmental changes. Differential gene expression analysis allows biologists to explore functions of genes with data generated from different environments. However, these data and analysis lead to unique challenges since tasks are ill-defined, require implicit domain knowledge, comprise large volumes of data, and are, therefore, of explanatory nature. To investigate a scalable visualization-based solution, we conducted a design study with three biologists specialized in differential gene expression analysis. We stress our contributions in three aspects: first, we characterize the problem domain for exploring differential gene expression data and derive task abstractions and design requirements. Second, we investigate the design space and present an interactive visualization system, called VisExpress. Third, we evaluate the usefulness of VisExpress via a Pair Analytics study with real users and real data and report on insights that were gained by our experts with VisExpress.

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Yankovskaya, A. E., S. V. Kitler, and R. V. Ametov. "Investigation and development of an intelligent system for the diagnostics and intervention of organizational stress." Pattern Recognition and Image Analysis 23, no. 4 (December 2013): 459–67. http://dx.doi.org/10.1134/s1054661813040172.

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