How Does Justice Sound? Enunciative Modalities, Law’s Logos and Woman’s Voice

In the throes of her mimetic exposure of the lie of phallocratic discursive unity in 'Speculum of the Other Woman', Irigaray paused on the impossibility of woman’s voice and remarked that ‘it [was] still better to speak only in riddles, allusions, hints, parables.’ Even if asked to clarify a few points. Even if people plead that they just don’t understand. After all, she said, ‘they never have understood.’ (Irigaray 1985, 143).

That the law has never understood a uniquely feminine narrative is hardly controversial, but that this erasure continues to have real and substantive consequences for justice is a reality that feminists have been compelled to remain vigilant in exposing. How does the authority of the word compound law’s exclusionary matrix? How does law remain impervious to woman’s voice and how might it hear woman’s voice? Is there capacity for a dialogic engagement between woman, parler femme, and law?

This paper will explore these questions with particular reference to the experience of women testifying to trauma during the rape trial. It will argue that a logically linked historical genealogy can be traced through which law has come to posit itself as an originary discourse by which thinking is very much conflated with being, or in other terms, law is conflated with justice. This has consequences both for women’s capacity to speak or represent the harm of rape to law, but also for law’s ability to ‘hear’ woman’s voice and objectively adjudicate in cases of rape. It will suggest that justice requires law acknowledge the presence of two distinct and different subjects and that this must be done not only at the symbolic level but also at the level of the parole, syntax and discourse.

Decoding semantics across fMRI sessions with different stimulus modalities:a practical MVPA study

Both embodied and symbolic accounts of conceptual organization would predict partial sharing and partial differentiation between the neural activations seen for concepts activated via different stimulus modalities. But cross-participant and cross-session variability in BOLD activity patterns makes analyses of such patterns with MVPA methods challenging. Here, we examine the effect of cross-modal and individual variation on the machine learning analysis of fMRI data recorded during a word property generation task. We present the same set of living and non-living concepts (land-mammals, or work tools) to a cohort of Japanese participants in two sessions: the first using auditory presentation of spoken words; the second using visual presentation of words written in Japanese characters. Classification accuracies confirmed that these semantic categories could be detected in single trials, with within-session predictive accuracies of 80-90%. However cross-session prediction (learning from auditory-task data to classify data from the written-word-task, or vice versa) suffered from a performance penalty, achieving 65-75% (still individually significant at p « 0.05). We carried out several follow-on analyses to investigate the reason for this shortfall, concluding that distributional differences in neither time nor space alone could account for it. Rather, combined spatio-temporal patterns of activity need to be identified for successful cross-session learning, and this suggests that feature selection strategies could be modified to take advantage of this.

Robust bimodal person identification using face and speech with limited training data and corruption of both modalities

This paper presents a novel method of audio-visual fusion for person identification where both the speech and facial modalities may be corrupted, and there is a lack of prior knowledge about the corruption. Furthermore, we assume there is a limited amount of training data for each modality (e.g., a short training speech segment and a single training facial image for each person). A new representation and a modified cosine similarity are introduced for combining and comparing bimodal features with limited training data as well as vastly differing data rates and feature sizes. Optimal feature selection and multicondition training are used to reduce the mismatch between training and testing, thereby making the system robust to unknown bimodal corruption. Experiments have been carried out on a bimodal data set created from the SPIDRE and AR databases with variable noise corruption of speech and occlusion in the face images. The new method has demonstrated improved recognition accuracy.

Combinations of Prompt and Target Response Modalities and Their Impact on Emergent Relations and Teaching Efficiency.

In the present study, native Spanish speakers were taught a small English vocabulary (Spanish-to-English intraverbals). Four different training conditions were created by combining textual and echoic prompts with written and vocal target responses. The efficiency of each training condition was examined by analysing emergent relations (i.e., tacts) and the total number of sessions required to reach mastery under each training condition. All combinations of prompt-response modalities generated increases in correct responding on tests for emergent relations but when target responses were written, mastery criterion was reached faster. Results are discussed in terms of efficiency for emergent relations and recommendations for future directions are provided.

Angiomatoid fibrous histiocytoma: comparison of fluorescence in situ hybridization and reverse transcription polymerase chain reaction as adjunct diagnostic modalities

Angiomatoid fibrous histiocytoma (AFH) is a rare soft tissue neoplasm of intermediate biologic potential and uncertain differentiation, most often arising in the extremities of children and young adults. Although it has characteristic histologic features of a lymphoid cuff surrounding nodules of ovoid cells with blood-filled cystic cavities, diagnosis is often difficult due to its morphologic heterogeneity and lack of specific immunoprofile. Angiomatoid fibrous histiocytoma is associated with recurrent chromosomal translocations, leading to characteristic EWSR1-CREB1, EWSR1-ATF1, and, rarely, FUS-ATF1 gene fusions; fluorescence in situ hybridization (FISH), detecting EWSR1 or FUS rearrangements, and reverse transcription-polymerase chain reaction (RT-PCR) for EWSR1-CREB1 and EWSR1-ATF1 fusion transcripts have become routine ancillary tools. We present a large comparative series of FISH and RT-PCR for AFH. Seventeen neoplasms (from 16 patients) histologically diagnosed as AFH were assessed for EWSR1 rearrangements or EWSR1-CREB1 and EWSR1-ATF1 fusion transcripts. All 17 were positive for either FISH or RT-PCR or both. Of 16, 14 (87.5%) had detectable EWSR1-CREB1 or EWSR1-ATF1 fusion transcripts by RT-PCR, whereas 13 (76.5%) of 17 had positive EWSR1 rearrangement with FISH. All 13 of 13 non-AFH control neoplasms failed to show EWSR1-CREB1 or EWSR1-ATF1 fusion transcripts, whereas EWSR1 rearrangement was present in 2 of these 13 cases (which were histopathologically myoepithelial neoplasms). This study shows that EWSR1-CREB1 or EWSR1-ATF1 fusions predominate in AFH (supporting previous reports that FUS rearrangement is rare in AFH) and that RT-PCR has a comparable detection rate to FISH for AFH. Importantly, cases of AFH can be missed if RT-PCR is not performed in conjunction with FISH, and RT-PCR has the added advantage of specificity, which is crucial, as EWSR1 rearrangements are present in a variety of neoplasms in the histologic differential diagnosis of AFH, that differ in behavior and treatment.

Trauma and Family Therapy: Reflections on September 11 from Northern Ireland

This article draws on the author's experience of living and working in Belfast, Northern Ireland. Connections between the traumatic events of September 11 and the situation in the north of Ireland of ongoing civil conflict and violence are developed and aspects of therapeutic practice are described. Coping with the effects of trauma presents systemic therapists with multiple and complex challenges in whatever sociopolitical context they practice. A therapist stance that combines flexibility and openness of attitude with the creative use of therapeutic practices, including those from other modalities, will assist systemic therapists in rising to these challenges.

Non-invasive in vivo imaging in small animal research

Non-invasive real time in vivo molecular imaging in small animal models has become the essential bridge between in vitro data and their translation into clinical applications. The tremendous development and technological progress, such as tumour modelling, monitoring of tumour growth and detection of metastasis, has facilitated translational drug development. This has added to our knowledge on carcinogenesis. The modalities that are commonly used include Magnetic Resonance Imaging (MRI), Computed Tomography (CT), Positron Emission Tomography (PET), bioluminescence imaging, fluorescence imaging and multi-modality imaging systems. The ability to obtain multiple images longitudinally provides reliable information whilst reducing animal numbers. As yet there is no one modality that is ideal for all experimental studies. This review outlines the instrumentation available together with corresponding applications reported in the literature with particular emphasis on cancer research. Advantages and limitations to current imaging technology are discussed and the issues concerning small animal care during imaging are highlighted.

A prospective clinical trial of a real-time polymerase chain reaction assay for the diagnosis of candidemia in nonneutropenic, critically ill adults

Background. Invasive Candida infection among nonneutropenic, critically ill adults is a clinical problem that has received increasing attention in recent years. Poor performance of extant diagnostic modalities has promoted risk-based, preemptive prescribing in view of the poor outcomes associated with inadequate or delayed antifungal therapy; this risks unnecessary overtreatment. A rapid, reliable diagnostic test could have a substantial impact on therapeutic practice in this patient population.

Methods. Three TaqMan-based real-time polymerase chain reaction assays were developed that are capable of detecting the main medically important Candida species, categorized according to the likelihood of fluconazole susceptibility. Assay 1 detected Candida albicans, Candida parapsilosis, Candida tropicalis, and Candida dubliniensis. Assays 2 and 3 detected Candida glabrata and Candida krusei, respectively. The clinical performance of these assays, applied to serum, was evaluated in a prospective trial of nonneutropenic adults in a single intensive care unit.

Results. In all, 527 specimens were obtained from 157 participants. All 3 assays were run in parallel for each specimen; they could be completed within 1 working day. Of these, 23 specimens were obtained from 23 participants categorized as having proven Candida infection at the time of sampling. If a single episode of Candida famata candidemia was excluded, the estimated clinical sensitivity, specificity, and positive and negative predictive values of the assays in this trial were 90.9%, 100%, 100% and 99.8%, respectively.

Conclusions. These data suggest that the described assays perform well in this population for enhancing the diagnosis of candidemia. The extent to which they may affect clinical outcomes, prescribing practice, and cost-effectiveness of care remains to be ascertained.

ABCB1 (MDR1) rs1045642 is associated with increased overall survival in plasma cell myeloma

Multi-drug resistance (MDR) may compromise the successful management of haematological malignancies, impairing the effectiveness of chemotherapy. The P-glycoprotein (P-gp) drug efflux pump, encoded by the gene ABCB1 (MDR1), is the most widely studied component in MDR. A single nucleotide polymorphism (SNP) has been identified within ABCB1, rs1045642 (C3435T), which may alter P-gp substrate specificity and have an impact on the effectiveness of treatment, and hence overall survival (OS). We estimated the frequency of this SNP in the Northern Irish population and investigated its impact on the OS of patients with plasma cell myeloma (PCM). There was no significant difference in the frequency of rs1045642 between the PCM cohort and an age- and gender-matched control population. Findings within the PCM cohort suggest that rs1045642 genotype influences OS (p = 2 x 10(-2)). If confirmed in larger studies, these results suggest that genotyping rs1045642 may be a useful predictor of outcome in PCM and could indicate modified treatment modalities in certain individuals.

Triggered drug delivery from biomaterials

Importance of the field: Conventional dosing methods are frequently unable to deliver the clinical requirement of the patient. The ability to control the delivery of drugs from implanted materials is difficult to achieve, but offers promise in diverse areas such as infection-resistant medical devices and 10 responsive implants for diabetics. Areas covered in this review: This review gives a broad overview of recent progress in the use of triggers that can be used to achieve modulation of drug release rates from implantable biomaterials. In particular, these can be classified as being responsive to one or more of the following stimuli: a 15 chemical species, light, heat, magnetism, ultrasound and mechanical force. What the reader will gain: An overview of the potential for triggered drug delivery to give methods for tailoring the dose, location and time of release of a wide range of drugs where traditional dosing methods are not suitable. Particular emphasis is given to recently reported systems, and important 20 historical reports are included. Take home message: The use of externally or internally applied triggers of drug delivery to biomaterials has significant potential for improved delivery modalities and infection resistance.

Filming and Performing Renaissance History

Over the last one hundred years, many of the events and personalities of the sixteenth and seventeenth centuries have been brought before home, cinema, exhibition, festival and theatrical audiences via a variety of visual media. This collection, for the first time, examines these representations, looking at recent television series, documentaries, feature films, pageantry, theatre and popular culture in a range of cultural and linguistic guises. Filming and Performing Renaissance History opens up wider avenues of interpretive opportunity and substitutes a more generous, nuanced acknowledgement of the ways in which the 'Renaissance' is made to signify across disciplines and in relation to a whole series of events and personalities. Accessing the Renaissance in this fashion generates a genuine sense of the modalities of historical representation, of what the Renaissance 'means' and of how its meanings have been negotiated in modernity.

Multimodal Biometric Human Recognition for Perceptual Human-Computer Interaction

In this paper, a novel video-based multimodal biometric verification scheme using the subspace-based low-level feature fusion of face and speech is developed for specific speaker recognition for perceptual human--computer interaction (HCI). In the proposed scheme, human face is tracked and face pose is estimated to weight the detected facelike regions in successive frames, where ill-posed faces and false-positive detections are assigned with lower credit to enhance the accuracy. In the audio modality, mel-frequency cepstral coefficients are extracted for voice-based biometric verification. In the fusion step, features from both modalities are projected into nonlinear Laplacian Eigenmap subspace for multimodal speaker recognition and combined at low level. The proposed approach is tested on the video database of ten human subjects, and the results show that the proposed scheme can attain better accuracy in comparison with the conventional multimodal fusion using latent semantic analysis as well as the single-modality verifications. The experiment on MATLAB shows the potential of the proposed scheme to attain the real-time performance for perceptual HCI applications.

Perception of emotion: towards a realistic understanding of the task

A decade ago, perceiving emotion was generally equated with taking a sample (a still photograph or a few seconds of speech) that unquestionably signified an archetypal emotional state, and attaching the appropriate label. Computational research has shifted that paradigm in multiple ways. Concern with realism is key. Emotion generally colours ongoing action and interaction: describing that colouring is a different problem from categorizing brief episodes of relatively pure emotion. Multiple challenges flow from that. Describing emotional colouring is a challenge in itself. One approach is to use everyday categories describing states that are partly emotional and partly cognitive. Another approach is to use dimensions. Both approaches need ways to deal with gradual changes over time and mixed emotions. Attaching target descriptions to a sample poses problems of both procedure and validation. Cues are likely to be distributed both in time and across modalities, and key decisions may depend heavily on context. The usefulness of acted data is limited because it tends not to reproduce these features. By engaging with these challenging issues, research is not only achieving impressive results, but also offering a much deeper understanding of the problem.

Digital Musical Interactions: Performer-System Relationships and their Perception by Spectators

This article adopts an ecological view of digital musical interactions, first considering the relationship between performers and digital systems, and then spectators’ perception of these interactions. We provide evidence that the relationships between performers and digital music systems are not necessarily instrumental in the same was as they are with acoustic systems, and nor should they always strive to be. Furthermore, we report results of a study suggesting that spectators may not perceive such interactions in the same way as performances with musical instruments. We present implications for the design of digital musical interactions, suggesting that designers should embrace the reality that digital systems are malleable and dynamic, and may engage performers and spectators in different modalities, sometimes simultaneously.