Multimodal Components Research Articles

Synchronization of speed, sound and iridescent color in a hummingbird aerial courtship dive

Many animal signals are complex, often combining multimodal components with dynamic motion. To understand the function and evolution of these displays, it is vital to appreciate their spatiotemporal organization. Male broad-tailed hummingbirds (Selasphorus platycercus) perform dramatic U-shaped courtship dives over females, appearing to combine rapid movement and dive-specific mechanical noises with visual signals from their iridescent gorgets. To understand how motion, sound and color interact in these spectacular displays, we obtained video and audio recordings of dives performed by wild hummingbirds. We then applied a multi-angle imaging technique to estimate how a female would perceive the male’s iridescent gorget throughout the dive. We show that the key physical, acoustic and visual aspects of the dive are remarkably synchronized—all occurring within 300 milliseconds. Our results highlight the critical importance of accounting for motion and orientation when investigating animal displays: speed and trajectory affect how multisensory signals are produced and perceived.

Fighting CPS Complexity by Component-Based Software Development of Multi-Mode Systems

Growing software complexity is an increasing challenge for the software development of modern cyber-physical systems. A classical strategy for taming this complexity is to partition system behaviors into different operational modes specified at design time. Such a multi-mode system can change behavior by switching between modes at run-time. A complementary approach for reducing software complexity is provided by component-based software engineering (CBSE), which reduces complexity by building systems from composable, reusable and independently developed software components. CBSE and the multi-mode approach are fundamentally conflicting in that component-based development conceptually is a bottom-up approach, whereas partitioning systems into operational modes is a top-down approach with its starting point from a system-wide perspective. In this article, we show that it is possible to combine and integrate these two fundamentally conflicting approaches. The key to simultaneously benefiting from the advantages of both approaches lies in the introduction of a hierarchical mode concept that provides a conceptual linkage between the bottom-up component-based approach and system level modes. As a result, systems including modes can be developed from reusable mode-aware components. The conceptual drawback of the approach—the need for extensive message exchange between components to coordinate mode-switches—is eliminated by an algorithm that collapses the component hierarchy and thereby eliminates the need for inter-component coordination. As this algorithm is used from the design to implementation level (“compilation”), the CBSE design flexibility can be combined with efficiently implemented mode handling, thereby providing the complexity reduction of both approaches, without inducing any additional design or run-time costs. At the more specific level, this article presents (1) a mode mapping mechanism that formally specifies the mode relation between composable multi-mode components and (2) a mode transformation technique that transforms component modes to system-wide modes to achieve efficient implementation.

Health literacy in pediatric otolaryngology: A scoping review

ObjectiveTo review research on status and outcomes of health literacy in pediatric otolaryngology and identify opportunities for quality improvement. MethodsWe performed a scoping review, adhering to methodologic standards. A combination of MeSH terms and keywords related to health literacy in otolaryngology was used to conduct a search. Relevant studies were identified using PubMed, Ovid MEDLINE, and Google Scholar databases. Studies were selected for inclusion by two authors if they addressed the domains of pediatric otolaryngology as well as health literacy. Data were abstracted from each study on the number of participants, the setting, the study design, the outcome measure, the intervention used, and the overall theme. Authors identified prominent overarching themes and grouped studies accordingly. Results were then tabulated for further review and to discern implications for future practice and research. ResultsOf 1046 articles identified, 20 articles were included. Studies fell into three major themes: readability of patient materials, patient recall after informed consent, and optimal patient education. Prominent findings included the following: 1. Much of the printed and electronic educational material in otolaryngology is above the recommended reading level for public health information; 2. Parents do not easily recall information provided verbally or in written form; and 3. Adding visual and multimodal components improves the success of parental education. ConclusionHealth literacy in pediatric otolaryngology may influence comprehension of educational materials and adequacy of informed consent. Future research may address whether patient health literacy affects clinical outcomes.

Getting fit for hip and knee replacement: a protocol for the Fit-Joints pilot randomized controlled trial of a multi-modal intervention in frail patients with osteoarthritis

BackgroundJoint replacement provides significant improvements in pain, physical function, and quality of life in patients with osteoarthritis. With a growing body of evidence indicating that frailty can be treated, it is important to determine whether targeting frailty reduction in hip and knee replacement patients improves post-operative outcomes.ObjectivesThe primary objective is to examine the feasibility of a parallel group RCT comparing a preoperative multi-modal frailty intervention to usual care in pre-frail/frail older adults undergoing elective unilateral hip or knee replacements. The secondary objectives areTo explore potential efficacy of the multi-modal frailty intervention in improving frailty and mobility between baseline and 6 weeks post-surgery using Fried frailty phenotype and short performance physical battery (SPPB) respectively.To explore potential efficacy of the multi-modal frailty intervention on post-operative healthcare services use.Methods/DesignIn a parallel group pilot RCT, participants will be recruited from the Regional Joint Assessment Program in Hamilton, Canada. Participants who are (1) ≥ 60 years old; (2) pre-frail (score of 1 or 2) or frail (score of 3–5; Fried frailty phenotype); (3) having elective unilateral hip or knee replacement; and (4) having surgery wait times between 3 and 10 months will be recruited and randomized to either the intervention or usual care group. The multi-modal frailty intervention components will include (1) tailored exercise program (center-based and/or home-based) with education and cognitive behavioral change strategies; (2) protein supplementation; (3) vitamin D supplementation; and (4) medication review. The main comparative analysis will take place at 6 weeks post-operative. The outcome assessors, data entry personnel, and data analysts are blinded to treatment allocation. Assessments: feasibility will be assessed by recruitment rate, retention rate, and data collection completion. Frailty and healthcare use and other clinical outcomes will be assessed. The study outcomes will be collected at the baseline, 1 week pre-operative, and 6 weeks and 6 months post-operative.DiscussionThis is the first study to examine the feasibility of multi-modal frailty intervention in pre-frail/frail older adults undergoing hip or knee replacement. This study will inform the planning and designing of multi-modal frailty interventional studies in hip and knee replacement patients.Trial registrationClinicalTrials.govNCT02885337

A Responsive Pedagogical Initiative for Multimodal Oral Presentation Skills: An Action Research Study

Poor oral presentation skills amongst ESL speakers are frequently linked to weakness in general English proficiency. However, the literature has also identified the lack of a systematic and effective pedagogical method to develop students' multimodal oral presentation skills to meet 21 st century communication realities. This paper elucidates the application of a pedagogical initiative for multimodal oral presentations skills, informed by the Sociocultural Theory of Learning created by Vygotsky (1978), and the Pedagogy of Multiliteracies introduced by the New London Group (1996) and further developed by Cope and Kalantzis (2009). This initiative was experienced by 20 students through the action-reflection cycle methodology and was implemented for 13 weeks in a tertiary ESL classroom. Preliminary findings based on focus group interviews indicated that the initiative left a clear positive impact on student abilities in various multimodal components of oral presentation skills. Furthermore, the initiative positively affected students’ learning experience and raised their self-awareness of themselves as presenters. The findings also suggested that techniques employed in the initiative such as videos, feedback, collaborative learning and Web 2.0 could scaffold the students’ development of multimodal oral presentation skills. Based on these findings, significant implications for teaching oral presentation skills systematically are offered to be referred by ESL practitioners and researchers; in particular, the proposed multimodal oral presentations skills model as a multiliteracies pedagogy and the potential use of web 2.0 tools in promoting collaborative learning and creation of creative content by the learners. Keywords: ESL pedagogy; oral presentation skills; collaborative learning; multimodal literacy; action research

Characterizing Mode-Dependent Loss and Gain in Multimode Components

Mode-dependent loss and gain (MDL and MDG) of multimode components are fundamental impairments that reduce the capacity of mode-division-multiplexed (MDM) systems. MDL of components is commonly quantified either in terms of the root mean square (rms) or peak-to-peak (P-P) gain and loss variations. It is incorrect to specify only the P-PMDL of components if they are to be used in an MDM system with nonnegligible mode coupling, because the system's overall coupled gains are random variables whose statistics cannot be determined from the P-P MDL values. On the other hand, measurements of the rms MDL of components are sufficient to determine the rms value of the system's overall coupled MDL, regardless of whether the system has weak or strong coupling. We propose novel algorithms based on convex optimization, which can efficiently measure all modal gains of any multimode component using low-cost direct-detection hardware. In particular, we propose an efficient algorithm that produces accurate measurements of all modal gains by estimating a high-dimensional MDL ellipse using a sequence of power measurements.

Iconic situations: multimodality, witnessing and collective memory

This article deals with the multimodal components of televised situations that the author calls ‘iconic’ and that revolve around a dramatic announcement or declaration delivered on camera as part of a television broadcast. She argues that, in contemporary visual culture, iconic still photographs are gradually being replaced by iconic televised situations that become established as units of memory whose repeated airings and viewings ultimately gain an iconic status. Understanding this re-enactment has crucial importance in understanding the process by which the experience of the individual viewer or listener is interwoven with the narrative of the televised situation and in comprehending the role of witnessing. The article focuses on the spoken text, the roles of those who partake in the iconic situation and on the manner in which the fabric of verbal and visual elements helps to establish these situations as memorable. The author addresses three situations that were aired on Israeli television: the official announcement of the assassination of Israeli prime minister Yitzhak Rabin, the announcement of the death of Israeli singer Arik Einstein and the video message delivered by the abducted Israeli soldier Gilad Shalit from his place of captivity in Gaza.

The ‘hot male’ hypothesis: do female crickets prefer males with increased body temperature in mate choice scenarios?

Insects have been extensively used as model systems to study mating preferences based on variation in acoustic signals. In many species, females perform phonotaxis towards attractive, long-range acoustic signals produced by males, whereas the final mating decision is based on an assessment of additional, multimodal, close-range cues. The production of acoustic signals is costly, because invested energy is inefficiently converted into acoustic power. Here, we investigated whether heat released as a by-product during song generation might serve as an additional cue during mate choice decisions. Males that broadcast highly energetic calling songs increased their thoracic temperature considerably above ambient temperatures. The use of this additional cue would turn the acoustic signal into an inherently bimodal one, indirectly indicating the quality of the sender. To test this hot male hypothesis, we performed trackball and Y-maze experiments with Anurogryllus muticus. For comparison, additional trackball experiments were conducted with Gryllus bimaculatus females. In all paradigms, females of both species showed no evidence of a preference for hot males and, therefore, we conclude that increases in thoracic temperature do not seem to play a role as a multimodal component in mate choice decisions in A. muticus.

Cortical structural involvement and cognitive dysfunction in early Parkinson's disease

Magnetic resonance imaging (MRI) studies in early Parkinson's disease (PD) have shown promise in the detection of disease-related brain changes in the white and deep grey matter. We set out to establish whether intrinsic cortical involvement in early PD can be detected with quantitative MRI. We collected a rich, multi-modal dataset, including diffusion MRI, T1 relaxometry and cortical morphometry, in 20 patients with early PD (disease duration, 1.9 ± 0.97years, Hoehn & Yahr 1-2) and in 19 matched controls. The cortex was reconstructed using FreeSurfer. Data analysis employed linked independent component analysis (ICA), a novel data-driven technique that allows for data fusion and extraction of multi-modal components before further analysis. For comparison, we performed standard uni-modal analysis with a general linear model (GLM). Linked ICA detected multi-modal cortical changes in early PD (p = 0.015). These comprised fractional anisotropy reduction in dorsolateral prefrontal, cingulate and premotor cortex and the superior parietal lobule, mean diffusivity increase in the mesolimbic, somatosensory and superior parietal cortex, sparse diffusivity decrease in lateral parietal and right prefrontal cortex, and sparse changes to the cortex area. In PD, the amount of cortical dysintegrity correlated with diminished cognitive performance. Importantly, uni-modal analysis detected no significant group difference on any imaging modality. We detected microstructural cortical pathology in early PD using a data-driven, multi-modal approach. This pathology is correlated with diminished cognitive performance. Our results indicate that early degenerative processes leave an MRI signature in the cortex of patients with early PD. The cortical imaging findings are behaviourally meaningful and provide a link between cognitive status and microstructural cortical pathology in patients with early PD.

MicroRNA132 associated multimodal neuroimaging patterns in unmedicated major depressive disorder.

There is compelling evidence that epigenetic factors contribute to the manifestation of depression, in which microRNA132 (miR-132) is suggested to play a pivotal role in the pathogenesis and neuronal mechanisms underlying the symptoms of depression. Additionally, several depression-associated genes [MECP2, ARHGAP32 (p250GAP), CREB, and period genes] were experimentally validated as miR-132 targets. However, most studies regarding miR-132 in major depressive disorder are based on post-mortem, animal models or genetic comparisons. This work will be the first attempt to investigate how miR-132 dysregulation may impact covariation of multimodal brain imaging data in 81 unmedicated major depressive patients and 123 demographically-matched healthy controls, as well as in a medication-naïve subset of major depressive patients. MiR-132 values in blood (patients > controls) was used as a prior reference to guide fusion of three MRI features: fractional amplitude of low frequency fluctuations, grey matter volume, and fractional anisotropy. The multimodal components correlated with miR-132 also show significant group difference in loadings. Results indicate that (i) higher miR-132 levels in major depressive disorder are associated with both lower fractional amplitude of low frequency fluctuations and lower grey matter volume in fronto-limbic network; and (ii) the identified brain regions linked with increased miR-132 levels were also associated with poorer cognitive performance in attention and executive function. Using a data-driven, supervised-learning method, we determined that miR-132 dysregulation in major depressive disorder is associated with multi-facets of brain function and structure in fronto-limbic network (the key network for emotional regulation and memory), which deepens our understanding of how miR-132 dysregulation in major depressive disorders contribute to the loss of specific brain areas and is linked to relevant cognitive impairments.

TiO<sub>2</sub>-Doped Single-Mode Fiber as Active Material for Raman Lasers

The properties of TiO2-doped fiber are considered as optoelectronic material in our work. The advantages of such fiber have been studied with the aim of its application to active medium in Raman fiber lasers. The comparison of spontaneous Raman spectra and corresponding gain profiles in TiO2-doped and GeO2-doped fiber is presented. Raman gain profiles were obtained over a broad spectral range of Stokes shifted frequencies up to 1400 cm-1(42 THz). The spectral decomposition using multimode Gaussian components has been performed for both Raman gain profiles. High accuracy analytic form of Raman gain profile of TiO2-doped fiber is obtained using 12 components. The pump power of Raman gain threshold is introduced as the function of wavelength within the telecommunication windows for both fiber types. Our spectroscopic analysis allows presenting the numerical results on lasing bandwidth and Raman gain threshold inTiO2-doped single-mode fiber. It has been shown that the lasing bandwidth in TiO2-doped fiber may be almost twice wider than the lasing bandwidth in standard GeO2-doped fiber.

Estimating latent trends in multivariate longitudinal data via Parafac2 with functional and structural constraints.

Longitudinal data are inherently multimode in the sense that such data are often collected across multiple modes of variation, for example, time × variables × subjects. In many longitudinal studies, multiple variables are collected to measure some latent construct(s) of interest. In such cases, the goal is to understand temporal trends in the latent variables, as well as individual differences in the trends. Multimode component analysis models provide a powerful framework for discovering latent trends in longitudinal data. However, classic implementations of multimode models do not take into consideration functional information (i.e., the temporal sequence of the collected data) or structural information (i.e., which variables load onto which latent factors) about the study design. In this paper, we reveal how functional and structural constraints can be imposed in multimode models (Parafac and Parafac2) in order to elucidate trends in longitudinal data. As a motivating example, we consider a longitudinal study on per capita alcohol consumption trends conducted from 1970 to 2013 by the U.S. National Institute on Alcohol Abuse and Alcoholism. We demonstrate how functional and structural information about the study design can be incorporated into the Parafac and Parafac2 alternating least squares algorithms to understand temporal and regional trends in three latent constructs: beer consumption, spirits consumption, and wine consumption. Our results reveal that Americans consume more than the recommended amount of alcohol, and total alcohol consumption trends show no signs of decreasing in the last decade.

Reusing heterogeneous data for the conceptual design of shapes in virtual environments

Today, digital data such as 2D images, 3D meshes and 3D point clouds are widely used to design virtual environments (VE). Most of the time, only one type of those multimodal data is used to describe and specify the shapes of the objects. However, a single object can be seen as a combination of components linked with constraints specifying the relationships and the rigid transformations defining their arrangement. Thus, the definition of new methods able to combine any kind of multimodal data in an easy way would allow non-experts of VE to rapidly mock up objects and scenes. In this paper, we propose a new shape description model together with its associated constraints toolbox enabling the description of complex shapes from multimodal data. Not only rigid transformations are considered but also scale modifications according to the specified context of the constraint setting. The heterogeneous virtual objects (i.e., composed by scalable multimodal components) then result from the resolution of a constraint satisfaction problem through an optimization approach. The proposed approach is illustrated and validated with examples obtained using our prototype software.

TWOC around the clock: a multimodal approach to improving catheter care.

Urinary tract infections (UTI) are the second-largest group of healthcare-associated infections (HCAI). The Saving Lives Urinary Catheter Care Bundle was introduced to reduce catheter-associated urinary tract infections (CAUTI). In response, we implemented a catheter care group to examine ways to improve catheter care in an acute hospital NHS Trust. We adopted a multimodal approach, revolving around four components: (1) Catheter Care Pathway; (2) HOUDINI checklist; (3) catheter magnets; and (4) use of bladder ultrasound scanners. The yearly CAUTI prevalence survey showed an annual reduction in CAUTI from 2012-2013 to 2014-2015 (3.5% to 2.4%). Evaluations of the multimodal approach have highlighted limitations, leading to priorities being established around provision of tools, education, and use of measurement and feedback. Our multimodal approach demonstrates CAUTI rate improvements are achievable, directly benefiting patients. However, long-term maintenance of multimodal components is required to ensure sustained benefit. Engagement and accountability have emerged as significant challenges to the effectiveness and longevity of the catheter care group. We suggest greater emphasis on such challenges if long-term national or international improvement is to be achieved.

Other-initiated Repair in Argentine Sign Language

Abstract Other-initiated repair is an essential interactional practice to secure mutual understanding in everyday interaction. This article presents evidence from a large conversational corpus of a sign language, showing that signers of Argentine Sign Language (Lengua de Señas Argentina or ‘LSA’), like users of spoken languages, use a systematic set of linguistic formats and practices to indicate troubles of signing, seeing and understanding. The general aim of this article is to provide a general overview of the different visual-gestural linguistic patterns of other-initiated repair sequences in LSA. It also describes the quantitative distribution of other-initiated repair formats based on a collection of 213 cases. It describes the multimodal components of open and restricted types of repair initiators, and reports a previously undescribed implicit practice to initiate repair in LSA in comparison to explicitly produced formats. Part of a special issue presenting repair systems across a range of languages, this article contributes to a better understanding of the phenomenon of other-initiated repair in terms of visual and gestural practices in human interaction in both signed and spoken languages.

Multimodal analysis of startle type responses

Background and objectiveThis article presents a multimodal analysis of startle type responses using a variety of physiological, facial, and speech features. These multimodal components of the startle type response reflect complex brain–body reactions to a sudden and intense stimulus. Additionally, the proposed multimodal evaluation of reflexive and emotional reactions associated with the startle eliciting stimuli and underlying neural networks and pathways could be applied in diagnostics of different psychiatric and neurological diseases. Different startle type stimuli can be compared in the strength of their elicitation of startle responses, i.e. their potential to activate stress-related neural pathways, underlying biomarkers and corresponding behavioral reactions. MethodsAn innovative method for measuring startle type responses using multimodal stimuli and multimodal feature analysis has been introduced. Individual's multimodal reflexive and emotional expressions during startle type elicitation have been assessed by corresponding physiological, speech and facial features on ten female students of psychology. Different startle eliciting stimuli like noise and airblast probes, as well as a variety of visual and auditory stimuli of different valence and arousal levels, based on International Affective Picture System (IAPS) images and/or sounds from International Affective Digitized Sounds (IADS) database, have been designed and tested. Combined together into more complex startle type stimuli, such composite stimuli can potentiate the evoked response of underlying neural networks, and corresponding neurotransmitters and neuromodulators as well; this is referred to as increased power of response elicitation. The intensity and magnitude of multimodal responses to selected startle type stimuli have been analyzed using effect sizes and medians of dominant multimodal features, i.e. skin conductance, eye blink, head movement, speech fundamental frequency and energy. The significance of the observed effects and comparisons between paradigms were evaluated using one-tailed t-tests and ANOVA methods, respectively. Skin conductance response habituation was analyzed using ANOVA and post hoc multiple comparison tests with the Dunn–Šidák correction. ResultsThe results revealed specific physiological, facial and vocal reflexive and emotional responses on selected five stimuli paradigms which included: (1) acoustic startle probes, (2) airblasts, (3) IAPS images, (4) IADS sounds, and (5) image-sound-airblast composite stimuli. Overall, composite and airblast paradigms resulted in the largest responses across all analyzed features, followed by sound and acoustic startle paradigms, while paradigm using images consistently elicited the smallest responses. In this context, power of response elicitation of the selected stimuli paradigms can be described according to the aggregated magnitude of the participants’ multimodal responses. We also observed a habituation effect only in skin conductance response to acoustic startle, airblast and sound paradigms. ConclusionsThis study developed a system for paradigm design and stimuli generation, as well as real-time multimodal signal processing and feature calculation. Experimental paradigms for monitoring individual responses to stressful startle type stimuli were designed in order to compare the response elicitation power across various stimuli. The developed system, applied paradigms and obtained results might be useful in further research for evaluation of individuals’ multimodal responses when they are faced with a variety of aversive emotional distractors and stressful situations.

Integrated analysis of gray and white matter alterations in attention-deficit/hyperactivity disorder.

BackgroundMagnetic resonance imaging (MRI) is able to provide detailed insights into the structural organization of the brain, e.g., by means of mapping brain anatomy and white matter microstructure. Understanding interrelations between MRI modalities, rather than mapping modalities in isolation, will contribute to unraveling the complex neural mechanisms associated with neuropsychiatric disorders as deficits detected across modalities suggest common underlying mechanisms. Here, we conduct a multimodal analysis of structural MRI modalities in the context of attention-deficit/hyperactivity disorder (ADHD).MethodsGray matter volume, cortical thickness, surface areal expansion estimates, and white matter diffusion indices of 129 participants with ADHD and 204 participants without ADHD were entered into a linked independent component analysis. This data-driven analysis decomposes the data into multimodal independent components reflecting common inter-subject variation across imaging modalities.ResultsADHD severity was related to two multimodal components. The first component revealed smaller prefrontal volumes in participants with more symptoms, co-occurring with abnormal white matter indices in prefrontal cortex. The second component demonstrated decreased orbitofrontal volume as well as abnormalities in insula, occipital, and somato-sensory areas in participants with more ADHD symptoms.ConclusionsOur results replicate and extend previous unimodal structural MRI findings by demonstrating that prefrontal, parietal, and occipital areas, as well as fronto-striatal and fronto-limbic systems are implicated in ADHD. By including multiple modalities, sensitivity for between-participant effects is increased, as shared variance across modalities is modeled. The convergence of modality-specific findings in our results suggests that different aspects of brain structure share underlying pathophysiology and brings us closer to a biological characterization of ADHD.

In Search of Multimodal Neuroimaging Biomarkers of Cognitive Deficits in Schizophrenia

BackgroundThe cognitive deficits of schizophrenia are largely resistant to current treatments and thus are a lifelong illness burden. The Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus Cognitive Battery (MCCB) provides a reliable and valid assessment of cognition across major cognitive domains; however, the multimodal brain alterations specifically associated with MCCB in schizophrenia have not been examined. MethodsThe interrelationships between MCCB and the abnormalities seen in three types of neuroimaging-derived maps—fractional amplitude of low-frequency fluctuations (fALFF) from resting-state functional magnetic resonance imaging (MRI), gray matter (GM) density from structural MRI, and fractional anisotropy from diffusion MRI—were investigated by using multiset canonical correlation analysis in data from 47 schizophrenia patients treated with antipsychotic medications and 50 age-matched healthy control subjects. ResultsOne multimodal component (canonical variant 8) was identified as both group differentiating and significantly correlated with the MCCB composite. It demonstrated 1) increased cognitive performance associated with higher fALFF (intensity of regional spontaneous brain activity) and higher GM volumes in thalamus, striatum, hippocampus, and the mid-occipital region, with co-occurring fractional anisotropy changes in superior longitudinal fascicules, anterior thalamic radiation, and forceps major; 2) higher fALFF but lower GM volume in dorsolateral prefrontal cortex related to worse cognition in schizophrenia; and 3) distinct domains of MCCB might exhibit dissociable multimodal signatures, e.g., increased fALFF in inferior parietal lobule particularly correlated with decreased social cognition. Medication dose did not relate to these findings in schizophrenia. ConclusionsOur results suggest linked functional and structural deficits in distributed cortico-striato-thalamic circuits may be closely related to MCCB-measured cognitive impairments in schizophrenia.

Analyzing Multimode Wireless Sensor Networks Using the Network Calculus

The network calculus is a powerful tool to analyze the performance of wireless sensor networks. But the original network calculus can only model the single-mode wireless sensor network. In this paper, we combine the original network calculus with the multimode model to analyze the maximum delay bound of the flow of interest in the multimode wireless sensor network. There are two combined methods A-MM and N-MM. The method A-MM models the whole network as a multimode component, and the method N-MM models each node as a multimode component. We prove that the maximum delay bound computed by the method A-MM is tighter than or equal to that computed by the method N-MM. Experiments show that our proposed methods can significantly decrease the analytical delay bound comparing with the separate flow analysis method. For the large-scale wireless sensor network with 32 thousands of sensor nodes, our proposed methods can decrease about 70% of the analytical delay bound.

Issue Editor Foreword

Issue Editor Foreword