To effectively identify network rumors and block their spread, this paper uses fractal theory to analyze a network rumor spreading situation time series, reveal its inner regularity, extract features, and establish a network rumor recognition model. The model is based on an empirical mode decomposition correlation dimension and K-nearest neighbor approach. Firstly, a partition function is used to determine if the time series of the rumor spreading situation is a uniform fractal process. Secondly, the rumor spreading situation (...) is subjected to EMD to obtain a series of intrinsic mode functions, construct the IMF1–IMF6 components containing effective feature information as the principal components, and reconstruct the phase space of the principal components, respectively. Finally, the correlation dimensions of the principal components IMF1–IMF6 as obtained by the Grassberger-Procaccia algorithm are used as feature parameters and are imported into the KNN model for rumor recognition. The experimental results show that the correlation dimension of a spreading situation can better reflect the characteristic information; as combined with the KNN model for identifying rumors, the recognition rate reaches 87.5%. This result verifies the effectiveness of fractal theory in network rumors recognition, expands the thinking for the research of rumors recognition, and provides theoretical support for rumor governance. (shrink)

Speaker recognition under mismatched conditions is a challenging task. Speech signal is nonlinear and nonstationary, and therefore, difficult to analyze under realistic conditions. Also, in real conditions, the nature of the noise present in speech data is not known a priori. In such cases, the performance of speaker identification or speaker verification degrades considerably under realistic conditions. Any SR system uses a voice activity detector as the front-end subsystem of the whole system. The performance of most VADs deteriorates at the (...) front end of the SR task or system under degraded conditions or in realistic conditions where noise plays a major role. Recently, speech data analysis and processing using Norden E. Huang’s empirical mode decomposition combined with Hilbert transform, commonly referred to as Hilbert–Huang transform, has become an emerging trend. EMD is an a posteriori, adaptive, data analysis tool used in time domain that is widely accepted by the research community. Recently, speech data analysis and speech data processing for speech recognition and SR tasks using EMD have been increasing. EMD-based VAD has become an important adaptive subsystem of the SR system that mostly mitigates the effect of mismatch between the training and the testing phase. Recently, we have developed a VAD algorithm using a zero-frequency filter-assisted peaking resonator and EMD. In this article, the efficacy of an EMD-based VAD algorithm is studied at the front end of a text-independent language-independent SI task for the speaker’s data collected in three languages at five different places, such as home, street, laboratory, college campus, and restaurant, under realistic conditions using EDIROL-R09 HR, a 24-bit wav/mp3 recorder. The performance of this proposed SI task is compared against the traditional energy-based VAD in terms of percentage identification rate. In both cases, widely accepted Mel frequency cepstral coefficients are computed by employing frame processing from the extracted voiced speech regions using the respective VAD techniques from the realistic speech utterances, and are used as a feature vector for speaker modeling using popular Gaussian mixture models. The experimental results showed that the proposed SI task with the VAD algorithm using ZFFPR and EMD at its front end performs better than the SI task with short-term energy-based VAD when used at its front end, and is somewhat encouraging. (shrink)

The Chinese economy has developed rapidly since the reform and opening up, but economic growth in Northeast China has declined dramatically after the 21st century. In this context, exploring the characteristics of economic and industrial fluctuations in the northeast of China and their relationship is beneficial to alleviating economic fluctuations and promoting stable economic development from the perspective of industrial development. The relationship between economic and industrial fluctuations in the three provinces of Northeast China was reexamined from the angle of (...) fluctuation components with the complete ensemble empirical mode decomposition with adaptive noise algorithm. The results obtained are as follows: In the three northeastern provinces of China, economic fluctuations were almost free from the influence of the primary industry, most affected by the secondary industry, and gradually influenced by the tertiary industry after the 21st century. Regarding the short-term business cycle of each province, economic development was the most stable when the market and government participated in the development of the secondary industry simultaneously. The midterm business cycle of Jilin Province was affected by the investment of equipment in secondary and tertiary industries, while that of Liaoning Province was affected by the investment of equipment in the secondary industry. Investment in the equipment of the secondary industry and the construction of secondary and tertiary industries was the key to maintaining the stability of long-term business cycle in Heilongjiang Province, and that in the construction of secondary and tertiary industries was the key to maintaining the stability of long-term business cycles in Jilin and Liaoning Provinces. (shrink)

This research work proposes an implementation of adept content-based music retrieval technique that attempts to address the demands of the rising availability of digital music. The primary objective of this research work is to balance the perilous impact of non-relevant songs through progressive filtering for query by humming music information retrieval system. The PF is a technique of searching in manifolds for problem solving through reduced search space. A new strategy for empirical mode decomposition analysis is adopted, (...) and outcomes are propelled as a significant source of information for multiresolution histogram representations. Finally, the concept of PF is realized through MRH to retrieve the desired song by humming. The proposed multiresolution QBH system is evaluated on a music database of 1200 fragments, and the experimental results effectively locate the humming patterns and recite the eminence of EMD analysis for retrieving the desired song through humming. (shrink)

Climate dynamics and trends have significant environmental and socioeconomic impacts; however, in the Benin Republic, they are generally studied with diverse statistical methods ignoring the nonstationarity, nonlinearity, and self-similarity characteristics contained in precipitation time series. This can lead to erroneous conclusions and an unclear understanding of climatic dynamics. Based on daily precipitation data observed in the six synoptic stations of Benin Republic, in the period from 1951 to 2010, we have proposed determining the local trends of precipitations, investigating precipitation nonlinear (...) dynamics, and assessing climatic shift in the study period by Ensemble Empirical Mode Decomposition and Multifractal Detrended Fluctuation Analysis method. To overcome the detrending issue in the standard MFDFA method, the EEMD algorithm is embedded into the MFDFA. The study period is subdivided into three subperiods: 1951–1970, 1971–1990, and 1991–2010. Intrinsic Mode Functions are obtained according to the climatic region in which the stations are located. Results show that precipitation variation is significantly governed by the five first IMFs, in which oscillation periods vary from 1 to 25 days. The trend curves decrease at all the synoptic stations, and their slope values vary accordingly to the subperiods. Referring to the values of the multifractal spectrum parameters, α 0, and the width of the spectrum w, consistent changes are observed regardless of the subperiods and the concerned stations. The spatial and temporal variability of precipitation indicates that the multifractal properties are good indicators for assessing changes in precipitation dynamics, and the changes in their features could be explained by the global change than by the local climate variation. Despite the observed differences in multifractal spectra properties from the three subperiods, it is not possible to verify the subdivision of 1951–2010 in three subperiods as it is done by previous studies in West Africa. Our findings can be used in the validation of global and regional climate models since a valid model should explain empirically detected scaling properties in observed data. (shrink)

In this article, a new adaptive data-driven strategy for voice activity detection using empirical mode decomposition is proposed. Speech data are decomposed using an a posteriori, adaptive, data-driven EMD in the time domain to yield a set of physically meaningful intrinsic mode functions. Each IMF preserves the nonlinear and nonstationary property of the speech utterance. Among a set of IMFs, the IMF that contains source information dominantly called characteristic IMF can be identified and extracted by designing (...) a zero-frequency filter-assisted peaking resonator. The detected CIMF is used to compute energy using short-term processing. Choosing proper threshold, voiced regions in speech utterances are detected using frame energy. The proposed framework has been studied on both clean speech utterance and noisy speech utterance. The proposed method is used for voice activity detection in the presence of white noise and shows encouraging result in the presence of white noise up to 0 dB. (shrink)

The performance of most of the state-of-the-art speaker recognition systems deteriorates under degraded conditions, owing to mismatch between the training and testing sessions. This study focuses on the front end of the speaker verification system to reduce the mismatch between training and testing. An adaptive voice activity detection algorithm using zero-frequency filter assisted peaking resonator was integrated into the front end of the SV system. The performance of this proposed SV system was studied under degraded conditions with 50 selected speakers (...) from the NIST 2003 database. The degraded condition was simulated by adding different types of noises to the original speech utterances. The different types of noises were chosen from the NOISEX-92 database to simulate degraded conditions at signal-to-noise ratio levels from 0 to 20 dB. In this study, widely used 39-dimension Mel frequency cepstral coefficient features were used, and Gaussian mixture model–universal background model was used for speaker modeling. The proposed system’s performance was studied against the energy-based VAD used as the front end of the SV system. The proposed SV system showed some encouraging results when EMD-based VAD was used at its front end. (shrink)

Accurate wind speed forecasting is an effective way to improve the safety and stability of power grid. A novel hybrid model based on twice decomposition, phase space reconstruction, and an improved multiverse optimizer-extreme learning machine is proposed to enhance the performance of short-term wind speed forecasting in this paper. In consideration of the nonstationarity of the wind speed signal, a twice decomposition based on improved complete ensemble empirical mode decomposition with adaptive noise, fuzzy entropy, and (...) variational mode decomposition is proposed to reduce the nonstationarity of the original signal firstly. Then the PSR based on C-C method is employed to reconstitute the decomposed signal as the input of the prediction model. Lastly, an improved multiverse optimizer is proposed to improve the stability and efficiency of ELM which is used as prediction model. Furthermore, two experiments are designed to verify the performance of the proposed method; the results indicate that the wind speed forecasting with twice decomposition of original wind speed signal is better than other once-decomposition methods and much better than forecasting without decomposition; the C-C-PSR method can determine the input dimension of ELM and improve the prediction accuracy of ELM; the IMVO has improved the stability of ELM, and the optimization efficiency is better than other comparison optimization methods. The results show that the proposed hybrid approach is a useful tool for short-term wind speed forecasting. (shrink)

In special application scenarios, such as portable anesthesia depth monitoring, portable emotional state recognition and portable sleep monitoring, electroencephalogram (EEG) signal acquisition equipment is required to be convenient and easy to use. It is difficult to remove electrooculogram (EOG) artifacts when the number of EEG acquisition channels is small, especially when the number of observed signals is less than that of the source signals, and the overcomplete problem will arise. The independent component analysis (ICA) algorithm commonly used for artifact removal (...) requires the number of basis vectors to be smaller than the dimension of the input data due to a set of standard orthonormal bases learned during the convergence process, so it cannot be used to solve the overcomplete problem. The empirical mode decomposition method decomposes the signal into several independent intrinsic mode functions so that the number of observed signals is more than that of the source signals, solving the overcomplete problem. However, when using this method to solve overcompleteness, the modal aliasing problem will arise, which is caused by abnormal events such as sharp signals, impulse interference, and noise. Aiming at the above problems, we propose a novel EEG artifact removal method based on discrete wavelet transform, complete empirical mode decomposition for adaptive noise (CEEMDAN) and ICA in this paper. First, the input signals are transformed by discrete wavelet (DWT), and then CEEMDAN is used to solve the overcomplete and mode aliasing problems, meeting the a priori conditions of the ICA algorithm. Finally, the components belonging to EOG artifacts are removed according to the sample entropy value of each independent component. Experiments show that this method can effectively remove EOG artifacts while solving the overcomplete and modal aliasing problems. (shrink)

We propose an empirical mode decomposition (EMD-) based method to extract features from the multichannel recordings of local field potential (LFP), collected from the middle temporal (MT) visual cortex in a macaque monkey, for decoding its bistable structure-from-motion (SFM) perception. The feature extraction approach consists of three stages. First, we employ EMD to decompose nonstationary single-trial time series into narrowband components called intrinsic mode functions (IMFs) with time scales dependent on the data. Second, we adopt unsupervised (...) K-means clustering to group the IMFs and residues into several clusters across all trials and channels. Third, we use the supervised common spatial patterns (CSP) approach to design spatial filters for the clustered spatiotemporal signals. We exploit the support vector machine (SVM) classifier on the extracted features to decode the reported perception on a single-trial basis. We demonstrate that the CSP feature of the cluster in the gamma frequency band outperforms the features in other frequency bands and leads to the best decoding performance. We also show that the EMD-based feature extraction can be useful for evoked potential estimation. Our proposed feature extraction approach may have potential for many applications involving nonstationary multivariable time series such as brain-computer interfaces (BCI). (shrink)

. Underwater communication is usually affected by ambient noise, which may be generated by different sources, such as the wind origin sea-surface sources, ships and under water life. The properties of background noise, which are non-stationary in nature, depend on location, sea depth, wind speed and sound propagation conditions in the area. Overall performance of underwater acoustic instruments can be improved by denoising the underwater signals. This paper proposes a novel denoising method using empirical mode decomposition technique. (...) Frequency domain based thresholding has been used to denoise the signal, which involves three steps: EMD is applied to the noisy signal to decompose the signal into intrinsic mode functions. Thresholding is applied to each IMF in the frequency domain to remove the noise. Thresholded IMFs are added to obtain the denoised signal. Real-time experiments were performed to validate the proposed technique on the basis of the records of the ambient noise data recorded at sea for various wind speed. It was observed that the experimental results are in good agreement with the proposed algorithm under different wind-noise levels. (shrink)

An efficient intelligent fault diagnosis model was proposed in this paper to timely and accurately offer a dependable basis for identifying the rolling bearing condition in the actual production application. The model is mainly based on an improved butterfly optimizer algorithm- optimized kernel extreme learning machine model. Firstly, the roller bearing’s vibration signals in the four states that contain normal state, outer race failure, inner race failure, and rolling ball failure are decomposed into several intrinsic mode functions using the (...) complete ensemble empirical mode decomposition based on adaptive noise. Then, the amplitude energy entropies of IMFs are designated as the features of the rolling bearing. In order to eliminate redundant features, a random forest was used to receive the contributions of features to the accuracy of results, and subsets of features were set up by removing one feature in the descending order, using the classification accuracy of the SBOA-KELM model as the criterion to obtain the optimal feature subset. The salp swarm algorithm was introduced to BOA to improve optimization ability, obtain optimal KELM parameters, and avoid the BOA deteriorating into local optimization. Finally, an optimal SBOA-KELM model was constructed for the identification of rolling bearings. In the experiment, SBOA was validated against ten other competitive optimization algorithms on 30 IEEE CEC2017 benchmark functions. The experimental results validated that the SBOA was evident over existing algorithms for most function problems. SBOA-KELM employed for diagnosing the fault diagnosis of rolling bearings obtained improved classification performance and higher stability. Therefore, the proposed SBOA-KELM model can be effectively used to diagnose faults of rolling bearings. (shrink)

Impaired neurodevelopmental outcome, in particular cognitive impairment, after neonatal hypoxic-ischemic encephalopathy is a major concern for parents, clinicians, and society. This study aims to investigate the potential benefits of using advanced quantitative electroencephalography analysis for early prediction of cognitive outcomes, assessed here at 2 years of age. EEG data were recorded within the first week after birth from a cohort of twenty infants with neonatal hypoxic-ischemic encephalopathy. A proposed regression framework was based on two different sets of features, namely graph-theoretical (...) features derived from the weighted phase-lag index and entropies metrics represented by sample entropy, permutation entropy, and spectral entropy. Both sets of features were calculated within the noise-assisted multivariate empirical mode decomposition domain. Correlation analysis showed a significant association in the delta band between the proposed features, graph attributes and entropy features from the neonatal EEG data and the cognitive development at age two years. These features were used to train and test the tree ensemble regression models. The highest prediction performance was reached to 14.27 root mean square error, 12.07 mean absolute error, and 0.45 R-squared using the entropy features with a boosted tree regression model. Thus, the results demonstrate that the proposed qEEG features show the state of brain function at an early stage; hence, they could serve as predictive biomarkers of later cognitive impairment, which could facilitate identifying those who might benefit from early targeted intervention. (shrink)

Owing to the adverse impact of the COVID-19 pandemic on world economies, it is expected that information flows between commodities and uncertainties have been transformed. Accordingly, the resulting twisted risk among commodities and related uncertainties is presumed to rise during stressed market conditions. Therefore, investors feel pressured to find safe haven investments during the pandemic. For this reason, we model a mixture of asymmetric and non-linear bi-directional causality between global commodities and uncertainties at different frequencies through the information flow theory. (...) Consequently, we utilise the complete ensemble empirical mode decomposition with adaptive noise and the Rényi effective transfer entropy techniques to establish the dynamic flow of information. The intrinsic mode functions from the CEEMDAN are carefully extracted into multi-frequencies through cluster analysis to reconstruct the series into high, medium, and low frequencies in addition to the residue. We utilise daily data from December 31st, 2019, to March 31st, 2021, to provide insights into the COVID-19 pandemic. The correlation coefficients and variances demonstrate that the high frequency which measures the short-term dynamics is the dominant frequency, suggesting short-lived market fluctuations relative to real economic growth for institutional investors. Moreover, outcomes from the multi-frequency entropy indicate a negative bi-directional causality of information flow between global commodities and uncertainties, especially in the long term. Generally, the findings present pertinent inferences for portfolio diversification, policy decisions, and risk management schemes for global commodities and markets volatilities. We, therefore, advocate that market volatilities act as effective hedges for global commodities, and they clearly act as balancing assets rather than substitutes in the long-term dynamics of the COVID-19 pandemic. Investors who delayed in investing within financial markets of commodities and market volatilities are likely to minimise their portfolio risks. (shrink)

An integrated hog futures price forecasting model based on whale optimization algorithm, LightGBM, and Complete Ensemble Empirical Mode Decomposition with Adaptive Noise is proposed to overcome the limitations of a single machine learning model with low prediction accuracy and insufficient model stability. The simulation process begins with a grey correlation analysis of the hog futures price index system in order to identify influencing factors; after that, the WOA-LightGBM model is developed, and the WOA algorithm is used to (...) optimize the LightGBM model parameters; and, finally, the residual sequence is decomposed and corrected by using the CEEMDAN method to build a combined WOA-LightGBM-CEEMDAN model. Furthermore, it is used for comparison experiments to check the validity of the model by using data from CSI 300 stock index futures. Based on all experimental results, the proposed combined model shows the highest prediction accuracy, surpassing the comparative model. The model proposed in this study is accurate enough to meet the forecasting accuracy requirements and provides an effective method for forecasting future prices. (shrink)

Common spatial pattern is an effective algorithm for extracting electroencephalogram features of motor imagery ; however, CSP mainly aims at multichannel EEG signals, and its effect in extracting EEG features with fewer channels is poor—even worse than before using CSP. To solve the above problem, a new combined feature extraction method has been proposed in this study. For EEG signals from fewer channels, wavelet packet transform, fast ensemble empirical mode decomposition, and local mean decomposition were used (...) to decompose the band-pass filtered EEG into multiple time–frequency components, and the corresponding components were selected according to the frequency characteristics of MI or the correlation coefficient between its time–frequency components and the original EEG signal. Furthermore, phase space reconstruction was performed on the selected components after the three time-frequency decompositions, the maximum Lyapunov index was calculated, and the features were reconstructed; then, CSP projection mapping was used for the reconstructed features. The support vector machine probability output model was trained by the obtained three mappings. Probability outputs by three different support vector machines were then obtained. Finally, the classification of test samples was determined by the fusion of the Dempster–Shafer evidence theory at the decision level. The results showed that the accuracy of the proposed method was 95.71% on data set III of BCI competition II, which was 2.88% higher than the existing methods. On data set IIb of BCI competition IV, the average accuracy was 86.60%, which was 2.3% higher than the existing methods. This study verified the effectiveness of the proposed method and provided an approach for the research and development of the MI-BCI system based on fewer channels. (shrink)

With the expansion of the digital business line, the network flow behind the digital power grid is also exploding. To prevent network congestion, this article proposes a novel network flow forecasting model, which is composed of variational mode decomposition, GRU-xgboost block, and a forecasting adjustment block, to grasp the changing patterns and trends of network flow in advance, and to formulate reasonable and effective flow management strategies and meet the requirements of users for network service quality. The network (...) flow series in power grid enterprise always contain complex patterns and outliers, and VMD is applied to adaptively process complex net flow time series into several subseries with simpler patterns. A GRU-xgboost block is designed to reconstruct the features of historical series. Then, xgboost model is applied to generate predictions for all decomposed subsignals. For the final predictions, we design a forecasting adjustment block to further remove the influence of random noise. Finally, the empirical results show the superior performance of the proposed model on network flow forecasting task. (shrink)

This article presents a review on two methods based on dynamic mode decomposition and its multiple applications, focusing on higher order dynamic mode decomposition and spatiotemporal Koopman decomposition. These methods are purely data-driven, using either numerical or experimental data, and permit reconstructing the given data and identifying the temporal growth rates and frequencies involved in the dynamics and the spatial growth rates and wavenumbers in the case of the spatiotemporal Koopman decomposition. Thus, they may (...) be used to either identify and extrapolate the dynamics from transient behavior to permanent dynamics or construct efficient, purely data-driven reduced order models. (shrink)

Due to the inherent chaotic and fractal dynamics in the price series of Bitcoin, this paper proposes a two-stage Bitcoin price prediction model by combining the advantage of variational mode decomposition and technical analysis. VMD eliminates the noise signals and stochastic volatility in the price data by decomposing the data into variational mode functions, while technical analysis uses statistical trends obtained from past trading activity and price changes to construct technical indicators. The support vector regression accepts input (...) from a hybrid of technical indicators and reconstructed variational mode functions. The model is trained, validated, and tested in a period characterized by unprecedented economic turmoil due to the COVID-19 pandemic, allowing the evaluation of the model in the presence of the pandemic. The constructed hybrid model outperforms the single SVR model that uses only TI and rVMF as features. The ability to predict a minute intraday Bitcoin price has a huge propensity to reduce investors’ exposure to risk and provides better assurances of annualized returns. (shrink)

We focus on the decomposition problem for nonstationary multicomponent signals involving Big Data. We propose the kernel sparse learning, developed for the T-F reassignment algorithm by the path penalty function, to decompose the instantaneous frequencies ridges of the overlapped multicomponent from a time-frequency representation. The main objective of KSL is to minimize the error of the prediction process while minimizing the amount of training samples used and thus to cut the costs interrelated with the training sample collection. The IFs (...) first extraction is decided using the framework of the intrinsic mode polynomial chirp transform, which obtains a brief local orthogonal TFR of signals. Then, the IFs curves of the multicomponent signal can be easily reconstructed by the T-F reassignment. After the IFs are extracted, component decomposition is performed through KSL. Finally, the performance of the method is compared when applied to several simulated micro-Doppler signals, which shows its effectiveness in various applications. (shrink)

Two modes of reasoning are used by humans – the `theoretical' (formal) and the `empirical' (non-formal), the first operating with inside-the-syllogism information, the second utilising out-of-the-syllogism information. Cross-cultural research (since Lévy-Bruhl, and especially after Luria) and developmental research (since Piaget) discovered respectively that members of `traditional' societies and children up to a certain age are able to operate only in the empirical mode.The paper brings together diverse discussions about usage of these modes in actual discourse (Ennis, Johnson-Laird, (...) Moore, Olson, Ong, etc.). It concentrates on contradictory opinions as to whether contemporary individuals after they acquire the formal mode preserve and utilise the empirical mode. In this connection it discusses results of neurological experiments investigating performance in solving syllogisms under conditions of transitory suppression of the left or the right hemisphere (Deglin et al.) which demonstrated that one and the same person, depending on which hemisphere is suppressed, uses both strategies. The activated right hemisphere utilizes the `empirical' pattern, the activated left hemisphere utilizes the `logical' pattern. Thus both mechanisms of reasoning are present in the brain simultaneously, but each of them is controlled by different hemispheres. (shrink)

In the empirical logic approach to quantum mechanics, the physical system under consideration is given in terms of a manual of sample spaces. The resulting propositional structure has been shown to form an orthoalgebra, generalizing the structure of an orthomodular poset. An orthoalgebra satisfies the unique Mackey decomposition (UMD) property if, given two commuting propositions a and b, there is a unique jointly orthogonal triple (e, f, c) such that a=e⊕c and b=f⊕c. In a manual, E is refined (...) by F if E is logically equivalent to some partition of F, making results from F at least as informative as those from E. The main result is a characterization of the UMD property in terms of the refinement structure of an underlying manual, provided the manual is event saturated and orthogonally additive. (shrink)

Ni-44 at.% Al and Ni-50 at.% Al single crystals were tested in compression in the hard d 001 ¢ orientation. The dislocation processes and deformation behaviour were studied as a function of temperature, strain and strain rate. A slip transition in NiAl occurs from a d 111 ¢ slip to non- a d 111 ¢ slip at intermediate temperatures. In Ni-50 at.% Al single crystals, only a d 010 ¢ dislocations are observed above the slip transition temperature. In contrast, a (...) d 101 ¢ {101} glide has been observed to control deformation beyond the slip transition temperature in Ni-44 at.% Al. a d 101 ¢ dislocations are observed primarily along both d 111 ¢ directions in the glide plane. High-resolution transmission electron microscopy observations show that the core of the a d 101 ¢ dislocations along these directions is decomposed into two a d 010 ¢ dislocations, separated by a distance of approximately 2 nm. The temperature window of stability for these a d 101 ¢ dislocations depends upon the strain rate. At a strain rate of 1.4 2 10 m 4 s m 1 , a d 101 ¢ dislocations are observed between 800 and 1000 K. Complete decomposition of a d 101 ¢ dislocations into a d 010 ¢ dislocations occurs beyond 1000 K, leading to a d 010 ¢ climb as the deformation mode at higher temperatures. At lower strain rates, decomposition of a d 101 ¢ dislocations has been observed to occur along the edge orientation at temperatures below 1000 K. Embedded-atom method calculations and experimental results indicate that a d 101 ¢ dislocations have a large Peierls stress at low temperatures. Based on the present microstructural observations and a survey of the literature with respect to vacancy content and diffusion in NiAl, a model is proposed for a d 101 ¢ {101} glide in Ni-44 at.% Al, and for the observed yield strength versus temperature behaviour of Ni-Al alloys at intermediate and high temperatures. (shrink)

This article proposes an empirical approach to understanding the life of an organism that overcomes reductionist and dualist approaches. The approach is based on Immanuel Kant’s analysis of the cognitive conditions required for the recognition of an organism: the concept of teleology and the assumption of a formative power of self-generation. It is analyzed how these two criteria are applied in the cognition of a developing organism. Using the example of a developmental series of a plant leaf, an active (...) and relational process between observer and developing organism is shown, within which the teleology and self-generating power of the organism can be empirically observed through the mental faculties of understanding and will. Furthermore, it is emphasized that, according to Kant, even physical objects are not readily given, but are actively constituted through the unification of sense perceptions with concepts. This Kantian mode of objectification facilitates cognition of the physical properties of an organism. It can be supplemented with a participatory and co-constitutive mode of realization, in which the life of the organism (its teleologically organizing and self-generating power) can become an object of empirical research. Furthermore, it is argued that the participatory mode also facilitates an expanded conception of nature that allows for the existence of living beings within it. Finally, an analogy to Goethe’s approach to the living organism is highlighted. In summary, it is stated that to understand life, one must consciously participate in it. (shrink)

Theoretical methods for empirical state determination of entangled two-level systems are analyzed in relation to information theory. We show that hidden variable theories would lead to a Shannon index of correlation between the entangled subsystems which is larger than that predicted by quantum mechanics. Canonical representations which have maximal correlations are treated by the use of Schmidt and Hilbert-Schmidt decomposition of the entangled states, including especially the Bohm singlet state and the GHZ entangled states. We show that quantum (...) mechanics does not violate locality, but does violate realism. (shrink)

It is commonplace in cognitive science that concepts are individuated in terms of the roles they play in the cognitive lives of thinkers, a view that Jerry Fodor has recently been dubbed ‘Concept Pragmatism’. Quinean critics of Pragmatism have long argued that it founders on its commitment to the analytic/synthetic distinction, since without such a distinction there is plausibly no way to distinguish constitutive from non-constitutive roles in cognition. This paper considers Fodor’s empirical arguments against analyticity, and in particular (...) his arguments against lexical decomposition and definitions, and argues that Concept Pragmatists have two viable options with respect to them. First, Concept Pragmatists can confront them head-on, and argue that they do not show that lexical items are semantically primitive or that lexical concepts are internally unstructured. Second, Pragmatists may accept that these arguments show that lexical concepts are atomic, but insist that this need not entail that Pragmatism is false. For there is a viable version of Concept Pragmatism that does not take lexical items to be semantically structured or lexical concepts to be internally structured. Adopting a version of Pragmatism that takes meaning relations to be specified by inference rules, or meaning postulates, allows one to accept the empirical arguments in favor of Concept Atomism, while at the same time deny that such arguments show that there are no analyticities. The paper concludes by responding to Fodor’s recent objection that such a version of Concept Pragmatism has unhappy consequences concerning the relation between concept constitution and concept possession. (shrink)

Attempts to introduce Gestalt theory into the realm of visual neuroscience are discussed on both theoretical and experimental grounds. To define the framework in which these proposals can be defended, this paper outlines the characteristics of a standard model, which qualifies as a received view in the visual neurosciences, and of the research into natural images statistics. The objections to the standard model and the main questions of the natural images research are presented. On these grounds, this paper defends the (...) view that Gestalt psychology and experimental phenomenology provide a contribution to the research into perception by the construction of phenomenological models for an ecologically meaningful interpretation of the empirical evidence and the hypothetical constructs of the natural image research within the visual neuroscience. A formal framework for the phenomenological models is proposed, wherein Gestalt theoretical principles and empirical evidence are represented in terms of topological properties and relationships, which account for the order and structures that make the environment accessible to observers at a relevant behavioural level. It is finally argued that these models allow us to evaluate the principles and the empirical evidence of various natures which are integrated from different fields into the research into perception, and in particular into visual neurosciences. (shrink)

The purpose of this paper is to show how the degree of experimental validity of scientific procedures is crucially involved in determining two typical pragmatic modes in science, namely, the preservation of useful procedures and the disposal of useless ideas. The term 'pragmatic' will here be used following Schurz's characterisation of being internally pragmatic, as referring to that which proves useful for scientific or epistemic goals. The first part of the paper consists in a characterisation of the notion of experimental (...) validity. The second part is focused on several historical examples illustrating how the above pragmatic modes relate to the question of experimental validity. The Michelson-Morley experiment is presented as a case of a highly valid and useful experiment preserved through the development of different theories (like, on the one hand, the ether theory, upheld by Fitzgerald and Lorentz, and, on the other hand, Einstein's special theory of relativity). The concept of caloric will be discussed as an example of an idea that was discarded once it became useless, after heat was understood as a form of energy within the new frame provided by the kinetic theory of heat towards the middle of the 19th century. (shrink)

Do multi-level selection explanations of the evolution of social traits deepen the understanding provided by single-level explanations? Central to the former is a mathematical theorem, the multi-level Price decomposition. I build a framework through which to understand the explanatory role of such non-empirical decompositions in scientific practice. Applying this general framework to the present case places two tasks on the agenda. The first task is to distinguish the various ways of suppressing within-collective variation in fitness, and moreover to (...) evaluate their biological interest. I distinguish four such ways: increasing retaliatory capacity, homogenising assortment, and collapsing either fitness structure or character distribution to a mean value. The second task is to discover whether the third term of the Price decomposition measures the effect of any of these hypothetical interventions. On this basis I argue that the multi-level Price decomposition has explanatory value primarily when the sharing-out of collective resources is `subtractable'. Thus its value is more circumscribed than its champions Sober and Wilson (1998) suppose. (shrink)

Summary The balloon mania between 1783 and 1785 put an extraordinary strain on the Paris Academy of Sciences, threatening its status as the highest tribunal of European science. Faced with repeated royal directives and public frenzy, the Academy manoeuvred carefully to steer the research toward the hydrogen balloon and thereby to maintain its scientific superiority. Antoine-Laurent Lavoisier seized this moment when the promise of ‘the empire of airs’ brought science to the centre of public attention to push his theoretical reform (...) for chemistry. He utilized the established protocol of the Academy and the resources of the Republic of Letters to broadly publicize his first decomposition of water in April 1784. Once he attained the publicity and the balloon fever began to cool, he staged a much more elaborate experiment for the experts in February 1785. Although this second, large-scale experiment cost much expense and effort, Lavoisier never published a full account. The differential care given to the two experiments can only be understood in their divergent rhetorical contexts. The written accounts in 1784 addressed the court of public opinion, while the exclusive performance in 1785 aimed at the court of experts to inaugurate the collaborative phase of the Chemical Revolution. (shrink)

Summary The balloon mania between 1783 and 1785 put an extraordinary strain on the Paris Academy of Sciences, threatening its status as the highest tribunal of European science. Faced with repeated royal directives and public frenzy, the Academy manoeuvred carefully to steer the research toward the hydrogen balloon and thereby to maintain its scientific superiority. Antoine-Laurent Lavoisier seized this moment when the promise of ?the empire of airs? brought science to the centre of public attention to push his theoretical reform (...) for chemistry. He utilized the established protocol of the Academy and the resources of the Republic of Letters to broadly publicize his first decomposition of water in April 1784. Once he attained the publicity and the balloon fever began to cool, he staged a much more elaborate experiment for the experts in February 1785. Although this second, large-scale experiment cost much expense and effort, Lavoisier never published a full account. The differential care given to the two experiments can only be understood in their divergent rhetorical contexts. The written accounts in 1784 addressed the court of public opinion, while the exclusive performance in 1785 aimed at the court of experts to inaugurate the collaborative phase of the Chemical Revolution. (shrink)

In this paper I argue that the rationality of law and legal decision making would be enhanced by a systematic attempt to recognize and respond to the implications of empirical uncertainty for policy making and decision making. Admission of uncertainty about the accuracy of facts and the validity of assumptions relied on to make inferences of fact is commonly avoided in law because it raises the spectre of paralysis of the capacity to decide issues authoritatively. The roots of this (...) short-sighted view are found in primitive mechanical models of relationships in the empirical and social world – those of objective causality and determinism. Insofar as it is believed that if we had sufficient data a clear and unequivocal answer would be available to each question, admission of uncertainty is seen as a sign of insufficiency, incompetence, impotence, and is avoided whenever a decision that must be seen to be based on valid reasons, cannot be avoided. Avoidance of some decisions, duplicity in others, is the result. -/- Decision-making must be restructured to recognize the provisional and context-bound validity and relevance of the models we use to conceptualize and order our understanding of phenomena, and to utilize this awareness as an instrument in the production of legal policies and decisions that will be authoritative precisely because they are honestly accurate and socially responsible. The paper makes a start on such a re-structuring of the legal process by exploring the implications of the observation that if law is to be “just”: 1) legal policy must be based on accurate information and rationally related to social goals; and 2) decisions applying policy to individual fact situations must be based on assumptions that are both relevant and accurate. -/- Reasons for determinations of fact must be given, otherwise the presumption that the trier of fact is “reasonable” is an unconditional licence to use private modes of logic and theories of social and natural science. What is not disclosed cannot be challenged on grounds of invalidity or irrelevance. Use of “objective validity” as a standard to evaluate conclusions made by the trier of fact in contentious cases would only serve to beg all important questions by concealing: 1) fundamental normative conflict, and 2) the limited nature and applicability of many validity claims. -/- Our use of the phrases “undue risk,” “public interest,” “reasonable,” and “necessary,” reflects the weight we choose to give conflicting social values and goals when we must make decisions in relative ignorance of all the consequences. “Objective criteria” are of limited utility in legal decision-making because their social meaning is derivative. Policy generation in the absence of any coherent conceptual-normative framework, use of vague terminology in legislation stating policy, and the absence of rational means to distinguish between individual cases to which decision-makers are required by law to apply policy, make it inevitable that many legal “decisions” made in the guise of determinations of objective fact, are charades, an arbitrary, capricious, intuitive, subjective (and thus private) use of public decision-making power. -/- Law must alter its aspirations and recognize that rational decision-making is a process that can occur only within parameters set by present knowledge and societal preference structures. Only by working with the constraints imposed by these parameters is it possible to achieve “just” decisions. Where no rational basis for differentiating cases exists, “individualized justice” must be avoided and public policy articulated in law applied uniformly to all cases in a class. The terms “reasonable” and “necessary,” used to describe policy and its consequences for specific cases, must be understood to represent provisional societal assessments, attempts to implement societal preference structures in the face of limited knowledge. Heightened awareness of the limited nature of our knowledge can only result in legal policies that have a more explicit normative basis. (shrink)

Transcranial Photobiomodulation has demonstrated its ability to alter electrophysiological activity in the human brain. However, it is unclear how tPBM modulates brain electroencephalogram networks and is related to human cognition. In this study, we recorded 64-channel EEG from 44 healthy humans before, during, and after 8-min, right-forehead, 1,064-nm tPBM or sham stimulation with an irradiance of 257 mW/cm2. In data processing, a novel methodology by combining group singular value decomposition with the exact low-resolution brain electromagnetic tomography was implemented and (...) performed on the 64-channel noise-free EEG time series. The gSVD+eLORETA algorithm produced 11 gSVD-derived principal components projected in the 2D sensor and 3D source domain/space. These 11 PCs took more than 70% weight of the entire EEG signals and were justified as 11 EEG brain networks. Finally, baseline-normalized power changes of each EEG brain network in each EEG frequency band were quantified during the first 4-min, second 4-min, and post tPBM/sham periods, followed by comparisons of frequency-specific power changes between tPBM and sham conditions. Our results showed that tPBM-induced increases in alpha powers occurred at default mode network, executive control network, frontal parietal network and lateral visual network. Moreover, the ability to decompose EEG signals into individual, independent brain networks facilitated to better visualize significant decreases in gamma power by tPBM. Many similarities were found between the cortical locations of SVD-revealed EEG networks and fMRI-identified resting-state networks. This consistency may shed light on mechanistic associations between tPBM-modulated brain networks and improved cognition outcomes. (shrink)

A common approach to quantum physics is enshrouded in a jargon which treats state vectors as attributes of physical systems and the concept of state preparation as a filtration scheme wherein a process involving measurement selects from a primordial assembly of systems those bearing some prescribed vector of interest. By contrast, the empirical experiences with which quantum theory is actually concerned relate measurement and preparation in quite an opposite manner. Reproducible preparation schemes are logically and temporally anterior to measurement (...) acts. Measurement extracts numbers from systems prepared in a specified manner; these data are then regularized by the theory by means of a state concept which is in turn used to characterize succinctly the given mode of preparation. The present paper offers, in a simple spin model, a method for determining the quantum state that represents any reproducible preparation. (shrink)

Dworkin advances the view that judges decide legal cases according to constructive interpretation. The aim of constructive interpretation is to justify the coercion of the State. A trivial implication of this view is that officials and citizens will comply with the law because of the justification that has been advanced by judges in their exercise of constructive interpretation. Consequently, neither officials nor citizens comply with the law because they have been coerced or because they have been simply told to do (...) so. But then, it seems that constructive interpretation cannot really provide any guidance since officials and citizens have been asked toacceptthe interpretation of the law that has been put forward by the judges since arguably, it is the best possible interpretation of what the law is in this particular case. However, why they ought to do so?I will argue that the mistake of the theory of constructive interpretation lies in a misleading and implausible conception of action that believes that action is raw behavioural data and that therefore we need to ‘impose meaning’, ‘value’ or ‘purpose’ on them. I will defend a more plausible conception of action along the classical tradition that understands practice as originating in agency and deliberation. The outcome is that constructive interpretation and its conception of ‘imposing meaning’ on practice is a theoretical perspective that neglects and misunderstands action and practical reason. (shrink)

Current research in moral development suggests that there are two distinct modes of moral reasoning, one based on a morality of justice, the other based on a morality of care. The research presented here examines the kinds of moral reasoning used by managers in work-related conflicts. Twenty men and twenty women were randomly selected from the population of first level managers in a Fortune 100 industrial corporation. In open-ended interviews each participant was asked to describe a situation of moral conflict (...) in her or his work life. The results indicated a clearly preferred mode of moral reasoning among the participants who described moral conflicts. Nearly all of these predominated with a justice orientation. These findings suggest that a correlation between gender and preferred mode may be context specific. (shrink)

This paper provides a phenomenological analysis of postphenomenological philosophy of technology. While acknowledging that the results of its analyses are to be recognized as original, insightful, and valuable, we will argue that in its execution of the empirical turn, postphenomenology forfeits a phenomenological dimension of questioning. By contrasting the postphenomenological method with Heidegger’s understanding of phenomenology as developed in his early Freiburg lectures and in Being and Time, we will show how the postphenomenological method must be understood as mediation (...) theory, which adheres to what Heidegger calls the theoretical attitude. This leaves undiscussed how mediation theory about ontic beings involves a specific ontological mode of relating to beings, whereas consideration of this mode is precisely the concern of phenomenology. This ontological dimension is important to consider, since we will argue that postphenomenology is unwittingly technically mediated in an ontological way. The upshot of this is that in its dismissal of Heidegger’s questioning of technology as belonging to “classical philosophy of technology,” postphenomenology implicitly adheres to what Heidegger calls technology as Enframing. We argue that postphenomenology overlooks its own adherence to the theoretical attitude and ultimately to Enframing, and we will conclude with calling for a phenomenological questioning of the dimension that postphenomenology presently leaves unthought, meaning that we will develop a plea for a rehabilitation of the ontological dimension in the philosophy of technology. (shrink)

This article begins with discussing challenges encountered while managing the epistemology of legal modes of thinking and social science, and the limits of relying on discipline-based methodologies for the advancement of empirical legal scholarship. In then discusses two approaches to empirical legal training employed in New York. Through this, it seeks to demonstrate the strengths of collaborative research with illustrations of a cross-national collaboration. Empirical research on law is a multi-method phenomenon. Ideally, empirical legal training means (...) that students need and can further foster a background in a broad range of social science methods and in a set of methods that can use triangulation or juxtaposition to capture the factors that explain law as a social phenomenon. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:The Empire Writes Back, With A VengeanceDenis DuttonOne of the more uplifting aspects of the turn toward theory in recent years has been the growth of postcolonial cultural studies. Postcolonial studies are in actuality constituted by counterdiscoursive, decolonizing practices which acknowledge the recognition of minority discourses, deconstructing hegemonic texts and imperialist metanarratives, opposing unduly overprivileging Western canonical paradigms of “literature,” and—well, you know what I mean. As Benita Parry (...) so lucidly explains, “The labor of producing a counter-discourse displacing imperialism’s dominative system of knowledge rests with those engaged in developing a critique from outside its cultural hegemony.” And what an awesome labor it is. The noted postcolonial theorist Georg M. Gugelberger sums things up by saying (I’m not inventing this) “postcolonialism can be conceptualized as the last bulwark against an encroaching total capitalism.”But what of the struggling masses of oppressed peoples whose interests and cultural sensitivities are so caringly looked after by practitioners of postcolonial studies? How do they feel about the fact that the only thing standing between them and “total capitalism” is resistance being mounted in a comparative literature department in Idaho, or someplace? This is a question seldom asked, let alone answered. Fortunately, new light has been thrown on the matter with the arrival of a booklet at this journal. Indian History from Above and Below, by Rukun Advani, is published by Ram Advani, probably a member of the family, in Lucknow. It is dedicated to “all Bengali intellectuals and those whose dollar salaries rise in proportion with obscurity and jargon.” Advani notes in his preface that although Bengali intellectuals talk torrents in their native tongue, when they [End Page 198] disseminate their thoughts abroad, they translate into a “clogged, colonial, unfluid flow,” with footnotes such as: “Derrida; ibid.; see my recent essay on the modes and moods of Foucault in JPS, III.iii, 3–333; on Lacan, see Lacan, On Lacan; Barthes, how many times a day do you have one in summer; idem., do you really?; differentiated peasantry; undifferentiated peasantry; for a feminist, though partially anthropologized, hermeneutic-critical discourse on the post-colonial subversive dimensions of the undifferentiated middle peasant in Midnapore district in June 1959, see the provocative controversy between Ranajit da and Amiya da in Gayatri di, ed., Gendered, Gendered, O Most Gendered: Epistemology and the Male Menopause in Bengal between June 1959 and July 1959 (Oxford University Press, forty years later).”The first of the booklet’s two essays, “Indian History from Below: a Swiftian Consideration,” discusses a neglected but “important arena of subaltern existence, namely the history of belching, wind-breaking and defecation.” Just to name these three functions posits “a bourgeois hierarchy of disgust with what Marx, in one of his most decisively Derridesque reflections, termed ‘The Asiatic Commode of Production.’” Beginning with the Foucauldian notion of “the peasant’s overdetermined relative autonomy from the olfactory,” Advani describes “the Barthesian notion of the impossibility of critical transcendence by the historian into either the symbiotic acculturation of the pastness, and indeed the presentness, of the present-subject, or indeed the even greater epistemological and hermeneutic problems posed by attempting a recreation of the ontological presuppositions of the peasant.” Much of this is elaborated in the classic essay by Professor Lavatri Lavatory Spewhack, “The Post-Colonial Lavatory and Its Radical Implications for Nomenclaturing Among Gendered and Subalternized Third World Expatriate-Marxist-Feminists in the First and Second Worlds: A Derivative Discourse Decoded.”The debt that Rukun Advani owes to Professor Spewhack is clear from the sheer number of his references to books and articles by her. These include, on the subject of toileting, Master Disgusted, Native Disgusting: a Perspective on Peasants from 250,000 Dollars per Annum, “On the Symbolic Hegemony of Subsection Numbers in a Gendered and Subalternized Post-Colonial Context: A Derivative Discourse Decoded” (in The Phenomenology of Praxis and the Praxis of Phenomenology in a Postmodern Residential Colony), “The Violence of Steam and the Episteme of Violence: Foucault’s Views on Hot Air Balloons” (in Obscurata), and even parts of her autobiography: The Larger than Life of Lavatri Lavatory [End Page 199] Spewhack (chapter titled “My Collected Phonecalls and Faxes”). While some... (shrink)

This article begins with discussing challenges encountered while managing the epistemology of legal modes of thinking and social science, and the limits of relying on discipline-based methodologies for the advancement of empirical legal scholarship. In then discusses two approaches to empirical legal training employed in New York. Through this, it seeks to demonstrate the strengths of collaborative research with illustrations of a cross-national collaboration. Empirical research on law is a multi-method phenomenon. Ideally, empirical legal training means (...) that students need and can further foster a background in a broad range of social science methods and in a set of methods that can use triangulation or juxtaposition to capture the factors that explain law as a social phenomenon. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:The Empire Writes Back, With A VengeanceDenis DuttonOne of the more uplifting aspects of the turn toward theory in recent years has been the growth of postcolonial cultural studies. Postcolonial studies are in actuality constituted by counterdiscoursive, decolonizing practices which acknowledge the recognition of minority discourses, deconstructing hegemonic texts and imperialist metanarratives, opposing unduly overprivileging Western canonical paradigms of “literature,” and—well, you know what I mean. As Benita Parry (...) so lucidly explains, “The labor of producing a counter-discourse displacing imperialism’s dominative system of knowledge rests with those engaged in developing a critique from outside its cultural hegemony.” And what an awesome labor it is. The noted postcolonial theorist Georg M. Gugelberger sums things up by saying (I’m not inventing this) “postcolonialism can be conceptualized as the last bulwark against an encroaching total capitalism.”But what of the struggling masses of oppressed peoples whose interests and cultural sensitivities are so caringly looked after by practitioners of postcolonial studies? How do they feel about the fact that the only thing standing between them and “total capitalism” is resistance being mounted in a comparative literature department in Idaho, or someplace? This is a question seldom asked, let alone answered. Fortunately, new light has been thrown on the matter with the arrival of a booklet at this journal. Indian History from Above and Below, by Rukun Advani, is published by Ram Advani, probably a member of the family, in Lucknow. It is dedicated to “all Bengali intellectuals and those whose dollar salaries rise in proportion with obscurity and jargon.” Advani notes in his preface that although Bengali intellectuals talk torrents in their native tongue, when they [End Page 198] disseminate their thoughts abroad, they translate into a “clogged, colonial, unfluid flow,” with footnotes such as: “Derrida; ibid.; see my recent essay on the modes and moods of Foucault in JPS, III.iii, 3–333; on Lacan, see Lacan, On Lacan; Barthes, how many times a day do you have one in summer; idem., do you really?; differentiated peasantry; undifferentiated peasantry; for a feminist, though partially anthropologized, hermeneutic-critical discourse on the post-colonial subversive dimensions of the undifferentiated middle peasant in Midnapore district in June 1959, see the provocative controversy between Ranajit da and Amiya da in Gayatri di, ed., Gendered, Gendered, O Most Gendered: Epistemology and the Male Menopause in Bengal between June 1959 and July 1959 (Oxford University Press, forty years later).”The first of the booklet’s two essays, “Indian History from Below: a Swiftian Consideration,” discusses a neglected but “important arena of subaltern existence, namely the history of belching, wind-breaking and defecation.” Just to name these three functions posits “a bourgeois hierarchy of disgust with what Marx, in one of his most decisively Derridesque reflections, termed ‘The Asiatic Commode of Production.’” Beginning with the Foucauldian notion of “the peasant’s overdetermined relative autonomy from the olfactory,” Advani describes “the Barthesian notion of the impossibility of critical transcendence by the historian into either the symbiotic acculturation of the pastness, and indeed the presentness, of the present-subject, or indeed the even greater epistemological and hermeneutic problems posed by attempting a recreation of the ontological presuppositions of the peasant.” Much of this is elaborated in the classic essay by Professor Lavatri Lavatory Spewhack, “The Post-Colonial Lavatory and Its Radical Implications for Nomenclaturing Among Gendered and Subalternized Third World Expatriate-Marxist-Feminists in the First and Second Worlds: A Derivative Discourse Decoded.”The debt that Rukun Advani owes to Professor Spewhack is clear from the sheer number of his references to books and articles by her. These include, on the subject of toileting, Master Disgusted, Native Disgusting: a Perspective on Peasants from 250,000 Dollars per Annum, “On the Symbolic Hegemony of Subsection Numbers in a Gendered and Subalternized Post-Colonial Context: A Derivative Discourse Decoded” (in The Phenomenology of Praxis and the Praxis of Phenomenology in a Postmodern Residential Colony), “The Violence of Steam and the Episteme of Violence: Foucault’s Views on Hot Air Balloons” (in Obscurata), and even parts of her autobiography: The Larger than Life of Lavatri Lavatory [End Page 199] Spewhack (chapter titled “My Collected Phonecalls and Faxes”). While some... (shrink)