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Frontiers in Psychology 2021Predictions during language comprehension are currently discussed from many points of view. One area where predictive processing may play a particular role concerns...
Predictions during language comprehension are currently discussed from many points of view. One area where predictive processing may play a particular role concerns poetic language that is regularized by meter and rhyme, thus allowing strong predictions regarding the timing and stress of individual syllables. While there is growing evidence that these prosodic regularities influence language processing, less is known about the potential influence of prosodic preferences (binary, strong-weak patterns) on neurophysiological processes. To this end, the present electroencephalogram (EEG) study examined whether the predictability of strong and weak syllables within metered speech would differ as a function of meter (trochee vs. iamb). Strong, i.e., accented positions within a foot should be more predictable than weak, i.e., unaccented positions. Our focus was on disyllabic pseudowords that solely differed between trochaic and iambic structure, with trochees providing the preferred foot in German. Methodologically, we focused on the omission Mismatch Negativity (oMMN) that is elicited when an anticipated auditory stimulus is omitted. The resulting electrophysiological brain response is particularly interesting because its elicitation does not depend on a physical stimulus. Omissions in deviant position of a passive oddball paradigm occurred at either first- or second-syllable position of the aforementioned pseudowords, resulting in a 2-by-2 design with the factors foot type and omission position. Analyses focused on the mean oMMN amplitude and latency differences across the four conditions. The result pattern was characterized by an interaction of the effects of foot type and omission position for both amplitudes and latencies. In first position, omissions resulted in larger and earlier oMMNs for trochees than for iambs. In second position, omissions resulted in larger oMMNs for iambs than for trochees, but the oMMN latency did not differ. The results suggest that omissions, particularly in initial position, are modulated by a trochaic preference in German. The preferred strong-weak pattern may have strengthened the prosodic prediction, especially for matching, trochaic stimuli, such that the violation of this prediction led to an earlier and stronger prediction error. Altogether, predictive processing seems to play a particular role in metered speech, especially if the meter is based on the preferred foot type.
PubMed: 35069363
DOI: 10.3389/fpsyg.2021.782765 -
Optics Express Feb 2022High-resolution multi-species spectroscopy is achieved by delivering broadband 3-4-μm mid-infrared light through a 4.5-meter-long silica-based hollow-core optical...
High-resolution multi-species spectroscopy is achieved by delivering broadband 3-4-μm mid-infrared light through a 4.5-meter-long silica-based hollow-core optical fiber. Absorptions from HCl, HCl, HO and CH present in the gas within the fiber core are observed, and the corresponding gas concentrations are obtained to 5-ppb precision using a high-resolution Fourier-transform spectrometer and a full-spectrum multi-species fitting algorithm. We show that by fully fitting the narrow absorption features of these light molecules their contributions can be nulled, enabling further spectroscopy of CHO and CHO contained in a Herriott cell after the fiber. As a demonstration of the potential to extend fiber-delivered broadband mid-infrared spectroscopy to significant distances, we present a high-resolution characterization of the transmission of a 63-meter length of hollow-core fiber, fully fitting the input and output spectra to obtain the intra-fiber gas concentrations. We show that, despite the fiber not having been purged, useful spectroscopic windows are still preserved which have the potential to enable hydrocarbon spectroscopy at the distal end of fibers with lengths of tens or even hundreds of meters.
PubMed: 35299476
DOI: 10.1364/OE.450413 -
Optics Express Jun 2023Recently introduced, spaceplates achieve the propagation of light for a distance greater than their thickness. In this way, they compress optical space, reducing the...
Recently introduced, spaceplates achieve the propagation of light for a distance greater than their thickness. In this way, they compress optical space, reducing the required distance between optical elements in an imaging system. Here we introduce a spaceplate based on conventional optics in a 4-f arrangement, mimicking the transfer function of free-space in a thinner system - we term this device a three-lens spaceplate. It is broadband, polarization-independent, and can be used for meter-scale space compression. We experimentally measure compression ratios up to 15.6, replacing up to 4.4 meters of free-space, three orders of magnitude greater than current optical spaceplates. We demonstrate that three-lens spaceplates reduce the length of a full-color imaging system, albeit with reductions in resolution and contrast. We present theoretical limits on the numerical aperture and the compression ratio. Our design presents a simple, accessible, cost-effective method for optically compressing large amounts of space.
PubMed: 37381385
DOI: 10.1364/OE.487255 -
Journal of Diabetes Science and... Mar 2020Accurate self-monitoring of blood glucose (SMBG) is a key component of effective self-management of glycemic control. (Clinical Trial)
Clinical Trial
BACKGROUND
Accurate self-monitoring of blood glucose (SMBG) is a key component of effective self-management of glycemic control.
METHODS
The OneTouch Verio Reflect and OneTouch Ultra Plus Reflect BG monitoring systems were evaluated for accuracy in a clinical setting. Subjects also used the meters for a one-week trial period and reported their level of satisfaction with meter features.
RESULTS
Both systems were accurate over a wide glucose range and met lay user and system accuracy BG standards described in ISO15197:2015. Subjects felt that the features of a meter with a dynamic color range indicator and personalized guidance, insight, and encouragement could provide significant benefits to them in the management of their diabetes.
CONCLUSIONS
Both meter systems were accurate over a wide glucose range and the features of the meter and messages were well received by patients in a short take-home trial.
CLINICAL TRIAL REGISTRATION
Clinicaltrials.gov NCT0351542.
Topics: Adolescent; Adult; Aged; Aged, 80 and over; Blood Glucose; Blood Glucose Self-Monitoring; Data Accuracy; Diabetes Mellitus, Type 1; Diabetes Mellitus, Type 2; Female; Glycemic Control; Guidelines as Topic; Humans; Male; Middle Aged; Motivation; Patient Participation; Patient Satisfaction; Precision Medicine; Reproducibility of Results; Text Messaging; Wireless Technology; Young Adult
PubMed: 31375031
DOI: 10.1177/1932296819867396 -
Sensors (Basel, Switzerland) Feb 2023The topic addressed in this article is part of the current concerns of modernizing power systems by promoting and implementing the concept of smart grid(s). The concepts...
The topic addressed in this article is part of the current concerns of modernizing power systems by promoting and implementing the concept of smart grid(s). The concepts of smart metering, a smart home, and an electric car are developing simultaneously with the idea of a smart city by developing high-performance electrical equipment and systems, telecommunications technologies, and computing and infrastructure based on artificial intelligence algorithms. The article presents contributions regarding the modeling of consumer classification and load profiling in electrical power networks and the efficiency of clustering techniques in their profiling as well as the simulation of the load of medium-voltage/low-voltage network distribution transformers to electricity meters.
PubMed: 36850492
DOI: 10.3390/s23041895 -
Global Implementation Research and... 2022Metering is fundamental in the efficient operation of electricity networks, as meters facilitate controlled usage and improve health and well-being. However, across the...
UNLABELLED
Metering is fundamental in the efficient operation of electricity networks, as meters facilitate controlled usage and improve health and well-being. However, across the Global South, meters have often been found to be lacking or not fit for purpose. Therefore, this study sought to determine residents' perceptions and access to electricity metering across a community in Mumbai, with the goal of developing recommendations to support the implementation of meters in the future. Fifty semi-structured interviews were conducted by phone, with participants from different areas and socioeconomic classes, within Greater Mumbai. The sample consisted of 20 low-income, 20 middle-income, and 10 high-income participants. The Normalisation Process Theory (NPT) was used to inform the interview schedule and to organise the thematic analysis. Meter accessibility and location was variable across the participant groups, as was the education and awareness of metering technology. Socio-political factors were found to directly affect the use of meters, specifically in the low-income group. The high cost associated with metering was a prominent finding; with a preconception that introducing meters would only increase utility expenditure. Future work should focus around ensuring meters are easy to use, practical and accessible to all residents and supporting education programmes around how to use a meter and how they can reduce utility expenditure. The cost of meters should also be investigated, to establish that the costs, associated with introducing new meters, are not passed disproportionately to consumers.
SUPPLEMENTARY INFORMATION
The online version contains supplementary material available at 10.1007/s43477-022-00059-y.
PubMed: 36248403
DOI: 10.1007/s43477-022-00059-y -
Proceedings of SPIE--the International... 2016At present, broadband radiometric measurements of LEDs with uniform and low-uncertainty results are not available. Currently, either complicated and expensive spectral...
At present, broadband radiometric measurements of LEDs with uniform and low-uncertainty results are not available. Currently, either complicated and expensive spectral radiometric measurements or broadband photometric LED measurements are used. The broadband photometric measurements are based on the CIE standardized V(λ) function, which cannot be used in the UV range and leads to large errors when blue or red LEDs are measured in its wings, where the realization is always poor. Reference irradiance meters with spectrally constant response and high-intensity LED irradiance sources were developed here to implement the previously suggested broadband radiometric LED measurement procedure [1, 2]. Using a detector with spectrally constant response, the broadband radiometric quantities of any LEDs or LED groups can be simply measured with low uncertainty without using any source standard. The spectral flatness of filtered-Si detectors and low-noise pyroelectric radiometers are compared. Examples are given for integrated irradiance measurement of UV and blue LED sources using the here introduced reference (standard) pyroelectric irradiance meters. For validation, the broadband measured integrated irradiance of several LED-365 sources were compared with the spectrally determined integrated irradiance derived from an FEL spectral irradiance lamp-standard. Integrated responsivity transfer from the reference irradiance meter to transfer standard and field UV irradiance meters is discussed.
PubMed: 28649167
DOI: 10.1117/12.2237033 -
Frontiers in Neuroscience 2016Caregivers often engage in musical interactions with their infants. For example, parents across cultures sing lullabies and playsongs to their infants from birth....
Caregivers often engage in musical interactions with their infants. For example, parents across cultures sing lullabies and playsongs to their infants from birth. Behavioral studies indicate that infants not only extract beat information, but also group these beats into metrical hierarchies by as early as 6 months of age. However, it is not known how this is accomplished in the infant brain. An EEG frequency-tagging approach has been used successfully with adults to measure neural entrainment to auditory rhythms. The current study is the first to use this technique with infants in order to investigate how infants' brains encode rhythms. Furthermore, we examine how infant and parent music background is associated with individual differences in rhythm encoding. In Experiment 1, EEG was recorded while 7-month-old infants listened to an ambiguous rhythmic pattern that could be perceived to be in two different meters. In Experiment 2, EEG was recorded while 15-month-old infants listened to a rhythmic pattern with an unambiguous meter. In both age groups, information about music background (parent music training, infant music classes, hours of music listening) was collected. Both age groups showed clear EEG responses frequency-locked to the rhythms, at frequencies corresponding to both beat and meter. For the younger infants (Experiment 1), the amplitudes at duple meter frequencies were selectively enhanced for infants enrolled in music classes compared to those who had not engaged in such classes. For the older infants (Experiment 2), amplitudes at beat and meter frequencies were larger for infants with musically-trained compared to musically-untrained parents. These results suggest that the frequency-tagging method is sensitive to individual differences in beat and meter processing in infancy and could be used to track developmental changes.
PubMed: 27252619
DOI: 10.3389/fnins.2016.00229 -
Sensors (Basel, Switzerland) Feb 2023Reflective phenomena often occur in the detecting process of pointer meters by inspection robots in complex environments, which can cause the failure of pointer meter...
Reflective phenomena often occur in the detecting process of pointer meters by inspection robots in complex environments, which can cause the failure of pointer meter readings. In this paper, an improved k-means clustering method for adaptive detection of pointer meter reflective areas and a robot pose control strategy to remove reflective areas are proposed based on deep learning. It mainly includes three steps: (1) YOLOv5s (You Only Look Once v5-small) deep learning network is used for real-time detection of pointer meters. The detected reflective pointer meters are preprocessed by using a perspective transformation. Then, the detection results and deep learning algorithm are combined with the perspective transformation. (2) Based on YUV (luminance-bandwidth-chrominance) color spatial information of collected pointer meter images, the fitting curve of the brightness component histogram and its peak and valley information is obtained. Then, the k-means algorithm is improved based on this information to adaptively determine its optimal clustering number and its initial clustering center. In addition, the reflection detection of pointer meter images is carried out based on the improved k-means clustering algorithm. (3) The robot pose control strategy, including its moving direction and distance, can be determined to eliminate the reflective areas. Finally, an inspection robot detection platform is built for experimental study on the performance of the proposed detection method. Experimental results show that the proposed method not only has good detection accuracy that achieves 0.809 but also has the shortest detection time, which is only 0.6392 s compared with other methods available in the literature. The main contribution of this paper is to provide a theoretical and technical reference to avoid circumferential reflection for inspection robots. It can adaptively and accurately detect reflective areas of pointer meters and can quickly remove them by controlling the movement of inspection robots. The proposed detection method has the potential application to realize real-time reflection detection and recognition of pointer meters for inspection robots in complex environments.
PubMed: 36904765
DOI: 10.3390/s23052562 -
Environmental Monitoring and Assessment Mar 2022Adequate, secure, and sustainable water supply gained utmost importance as an essential public service during the COVID-19 pandemic. The aim of this research study is to...
Adequate, secure, and sustainable water supply gained utmost importance as an essential public service during the COVID-19 pandemic. The aim of this research study is to investigate impacts of the protective measures taken for the COVID-19 pandemic on water consumption and post meter leakages in public places. A total of 22 pilot study sites (PSS) representing schools, graveyards, parks, mosques, public toilets, a university building, and a sport facility were chosen to apply this study. The PSS were equipped with smart meters with different sizes that were capable of measuring the flow rates at short intervals of 15 min. The flow rates were continuously monitored at the PSS for more than 1 year before and during the COVID-19 pandemic in 2019 and 2020. Post meter leakages were determined based on the minimum night flow (MNF). The monitoring results showed a considerable decrease (42%) in the total flow rates at public places because of the lockdown measures, but excessive post meter leakages (72% of total flow rates) were also observed. Additionally, the decrease in flow rates adversely affected measuring accuracy of the meters and thereby increased the apparent water losses. Control of post meter leakages and selection of appropriate size of meters are important for efficient use of urban water. Water and energy savings besides reduction in greenhouse gas emissions are the main environmental benefits of leakage control. The use of smart technologies contributes to efficient and sustainable management of urban water demand, but raising public awareness for conservation of water is essential.
Topics: COVID-19; Communicable Disease Control; Environmental Monitoring; Humans; Pandemics; Pilot Projects; Water Supply
PubMed: 35262900
DOI: 10.1007/s10661-022-09913-w