A universal constant in temporal segmentation of human speech

1992 ◽  
Vol 79 (10) ◽  
pp. 479-480 ◽  
Author(s):  
M. Vollrath ◽  
J. Kazenwadel ◽  
H.-P. Kr�ger
Keyword(s):  
Universal Constant ◽  
Temporal Segmentation ◽  
Human Speech

A universal constant in temporal segmentation of human short-term behavior

1987 ◽  
Vol 74 (6) ◽  
pp. 289-290 ◽  
Author(s):  
M. Schleidt ◽  
I. Eibl-Eibesfeldt ◽  
E. P�ppel
Keyword(s):  
Universal Constant ◽  
Temporal Segmentation ◽  
Short Term

Bahasa ‘Ngapak’ sebagai Sarana Konstruksi Budaya Jawa

2019 ◽  
Vol 25 (2) ◽  
pp. 141-162
Author(s):  
Abdullah Abdullah
Keyword(s):  
Cultural Values ◽  
Social Dynamics ◽  
Linguistic Anthropology ◽  
Descriptive Data ◽  
Healthy Life ◽  
Human Speech ◽  
Linguistic Data ◽  
Observed Behavior

Data kebahasaan sering merekam nilai budaya. Hanya saja, data kebahasaan masih belum mendapat perhatian untuk kepentingan analisis terhadap dinamikasosial masyarakat yang bersumber pada nilai-nilai budaya. Tujuan penelitian ini adalah untuk menganalisis cerita humor bahasa Jawa Ngapak yang mengandung nilai-nilai budaya dan cara budaya dikonstruksi melalui melalui bahasa humor. Objek kajian tulisan ini adalah wacana humor. Oleh karena wacana humor menggunakan media teks dan tuturan, pendekatan yang digunakan adalah linguistik-antropologi. Adapun metode yang digunakan dalam tulisan ini adalah metode penelitian kualitatif yang menghasilkan data deskriptif berupa ucapan, tulisan, atau perilaku yang diamati, dengan menggunakan tehnik simak. Hasil penelitian menunjukkan bahwa budaya sehat, ajaran agama, dan budaya berbagi terhadap sesama ditemukan dalam humor bahasa Jawa Ngapak itu. Budaya-budaya itu dikontruksi melalui bahasa Jawa Ngapak dalam suasana humor menampilkan realitas masyarakat penutur Ngapak. Ini berarti nilai-nilai budaya ditemukan dalam humor, berupa percakapan manusia maupun percakapan tokoh cerita fable, yang dikonstruksi melalui bahasa Jawa Ngapak untuk merefleksikan realitas. Linguistic data that embody cultural values have not been taken into consideration in analyzing social dynamics. The study aimed at investigating Ngapak Javanese humor story which contained cultural values, and how culture was constructed through the language of humor. Therefore, the humonrous discourses became the main object of the research. The method used in this research is a qualitative which produced descriptive data in the form of speech, written, or observed behavior, and supported with listening technique. As humorous discourses used speech and text media, the study utilized a linguistic-anthropology approach. Healthy life culture, religious teachings, and the culture of sharing were found in the Ngapak Javanese humor stories. These cultures were constructed through the language of humor by the Javanese Ngapak community. In addition, the culture constructed through the Ngapak Javanese language in a humorous atmosphere displayed the reality of the Ngapak-speaking community. This can be concluded that cultural values found in humor, in the form of human speech and fable character conversations constructed through the Ngapak Javanese language displayed the reality of social dynamics.

Robust and universal constant-gm circuit technique

2002 ◽  
Vol 38 (9) ◽  
pp. 396 ◽  
Author(s):  
J.F. Duque-Carrillo ◽  
J.M. Carrillo ◽  
J.L. Ausı́N ◽  
E. Sánchez-Sinencio
Keyword(s):  
Universal Constant ◽  
Circuit Technique

scholarly journals Spatio-temporal Segmentation Based Adaptive Compression of Dynamic Mesh Sequences

2020 ◽  
Vol 16 (1) ◽  
pp. 1-24
Author(s):  
Guoliang Luo ◽  
Zhigang Deng ◽  
Xin Zhao ◽  
Xiaogang Jin ◽  
Wei Zeng ◽  
...  
Keyword(s):  
Dynamic Mesh ◽  
Temporal Segmentation ◽  
Adaptive Compression ◽  
Spatio Temporal

scholarly journals Spatio-temporal feature learning with reservoir computing for T-cell segmentation in live-cell $$\hbox {Ca}^{2+}$$ fluorescence microscopy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Fatemeh Hadaeghi ◽  
Björn-Philipp Diercks ◽  
Daniel Schetelig ◽  
Fabrizio Damicelli ◽  
Insa M. A. Wolf ◽  
...  
Keyword(s):  
T Cells ◽  
T Cell ◽  
T Cell Activation ◽  
Cell Activation ◽  
Short Term Memory ◽  
Live Cell ◽  
Cell Segmentation ◽  
Reservoir Computing ◽  
Imaging Data ◽  
Temporal Segmentation

AbstractAdvances in high-resolution live-cell $$\hbox {Ca}^{2+}$$ Ca 2 + imaging enabled subcellular localization of early $$\hbox {Ca}^{2+}$$ Ca 2 + signaling events in T-cells and paved the way to investigate the interplay between receptors and potential target channels in $$\hbox {Ca}^{2+}$$ Ca 2 + release events. The huge amount of acquired data requires efficient, ideally automated image processing pipelines, with cell localization/segmentation as central tasks. Automated segmentation in live-cell cytosolic $$\hbox {Ca}^{2+}$$ Ca 2 + imaging data is, however, challenging due to temporal image intensity fluctuations, low signal-to-noise ratio, and photo-bleaching. Here, we propose a reservoir computing (RC) framework for efficient and temporally consistent segmentation. Experiments were conducted with Jurkat T-cells and anti-CD3 coated beads used for T-cell activation. We compared the RC performance with a standard U-Net and a convolutional long short-term memory (LSTM) model. The RC-based models (1) perform on par in terms of segmentation accuracy with the deep learning models for cell-only segmentation, but show improved temporal segmentation consistency compared to the U-Net; (2) outperform the U-Net for two-emission wavelengths image segmentation and differentiation of T-cells and beads; and (3) perform on par with the convolutional LSTM for single-emission wavelength T-cell/bead segmentation and differentiation. In turn, RC models contain only a fraction of the parameters of the baseline models and reduce the training time considerably.

scholarly journals Uttering geographies: Speech acts, felicity conditions and modes of existence

2019 ◽  
Vol 44 (6) ◽  
pp. 1124-1140
Author(s):  
Miles Ogborn
Keyword(s):  
Speech Acts ◽  
Speech Act ◽  
Speech Act Theory ◽  
Bruno Latour ◽  
Human Speech ◽  
Everyday Talk ◽  
Modes Of Existence

The geographies of speech has become stuck in a form of interpretation which considers the potentially infinite detail of spoken performances understood within their equally infinitely complex contexts. This paper offers a way forward by considering the uses, critiques and reworkings of J.L. Austin’s speech act theory by those who study everyday talk, by deconstructionists and critical theorists, and by Bruno Latour in his AIME (‘An Inquiry into Modes of Existence’) project. This offers a rethinking of speech acts in terms of power and space, and a series of ontological differentiations between forms of utterances and enunciations beyond human speech.

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