Use of auditory learning to manage listening problems in children

This paper reviews recent studies that have used adaptive auditory training to address communication problems experienced by some children in their everyday life. It considers the auditory contribution to developmental listening and language problems and the underlying principles of auditory learning that may drive further refinement of auditory learning applications. Following strong claims that language and listening skills in children could be improved by auditory learning, researchers have debated what aspect of training contributed to the improvement and even whether the claimed improvements reflect primarily a retest effect on the skill measures. Key to understanding this research have been more circumscribed studies of the transfer of learning and the use of multiple control groups to examine auditory and non-auditory contributions to the learning. Significant auditory learning can occur during relatively brief periods of training. As children mature, their ability to train improves, but the relation between the duration of training, amount of learning and benefit remains unclear. Individual differences in initial performance and amount of subsequent learning advocate tailoring training to individual learners. The mechanisms of learning remain obscure, especially in children, but it appears that the development of cognitive skills is of at least equal importance to the refinement of sensory processing. Promotion of retention and transfer of learning are major goals for further research

Restoring Speech Following Total Removal of the Larynx

By speech articulator movement and training a transformation to audio we can restore the power of speech to someone who has lost their larynx. We sense changes in magnetic field caused by movements of small magnets attached to the lips and tongue. The sensor transformation uses recurrent neural networks

Improvement of a Solonetzic (Slick Spot) Soil By Deep Plowing, Subsoiling and Amendments

Soil improvement studies, including deep plowing, subsoiling and gypsum treatments, were conducted on an irrigated solonetzic soil association in southeastern Oregon. The unproductive saline-sodic (solonetz-like) soil tentatively classified as Malheur silt loam ( with slick spots ) and described as a Nadurargid, occurs in complexes with normally leached soils of the Nyssa and related soil series. The saline-sodic soils were chemically reclaimed in 3 to 4 years by deep plowing 90-cm deep without gypsum and by deep plowing with gypsum at rates of 18 metric tons/ha (8 tons/acre ) and 36 metric tons/ha (16 tons/acre). Crop yields, water intake rates, and water and root penetration were greatly increased by deep plowing. The soils were moderately improved by 36 metric tons/ha of gypsum alone and by subsoiling with gypsum. Subsoiling without gypsum was not beneficial. The results over a 4-year period indicate that the salt-affected soils were effectively and most economically reclaimed by deep plowing without gypsum. Deep plowing also improved the productivity and physical conditions of the nonsaline associated soils

ChunkitApp : Investigating the relevant units of online speech processing

Peer reviewe

Direct Speech Reconstruction From Articulatory Sensor Data by Machine Learning

This paper describes a technique that generates speech acoustics from articulator movements. Our motivation is to help people who can no longer speak following laryngectomy, a procedure that is carried out tens of thousands of times per year in the Western world. Our method for sensing articulator movement, permanent magnetic articulography, relies on small, unobtrusive magnets attached to the lips and tongue. Changes in magnetic field caused by magnet movements are sensed and form the input to a process that is trained to estimate speech acoustics. In the experiments reported here this “Direct Synthesis” technique is developed for normal speakers, with glued-on magnets, allowing us to train with parallel sensor and acoustic data. We describe three machine learning techniques for this task, based on Gaussian mixture models, deep neural networks, and recurrent neural networks (RNNs). We evaluate our techniques with objective acoustic distortion measures and subjective listening tests over spoken sentences read from novels (the CMU Arctic corpus). Our results show that the best performing technique is a bidirectional RNN (BiRNN), which employs both past and future contexts to predict the acoustics from the sensor data. BiRNNs are not suitable for synthesis in real time but fixed-lag RNNs give similar results and, because they only look a little way into the future, overcome this problem. Listening tests show that the speech produced by this method has a natural quality that preserves the identity of the speaker. Furthermore, we obtain up to 92% intelligibility on the challenging CMU Arctic material. To our knowledge, these are the best results obtained for a silent-speech system without a restricted vocabulary and with an unobtrusive device that delivers audio in close to real time. This work promises to lead to a technology that truly will give people whose larynx has been removed their voices back

Impact of supplemental home enteral feeding postesophagectomy on nutrition, body composition, quality of life, and patient satisfaction

The aim of this prospective cohort study is to analyze the impact of supplemental home enteral nutrition (HEN) post-esophageal cancer surgery on nutritional parameters, quality of life (QL), and patient satisfaction. A systematic review reported that over 60% of patients lose \u3e10% of both body weight and BMI by 6 months after esophagectomy. Enteral feeding (EF) is increasingly a modern standard postoperatively; however, the impact of extended HEN postdischarge has not been systematically studied. One hundred forty-nine consecutive patients [mean age 62 ± 9, 80% male,76% adenocarcinoma, 66% on multimodal protocols, and 69% with BMI ≥ 25 kg/m2] were studied. Jejunal EF commenced day 1 postoperatively, and supplemental overnight HEN (764 kcal; 32g protein) continued on discharge for a planned further 4 weeks. Weight, BMI, and body composition analysis (bioimpedance analysis) were measured at baseline, preoperatively and at 1, 3, and 6 months, along with the EORTC QLQ-C30/OES18 QL measures. A patient satisfaction questionnaire addressed eight key items in relation to HEN (max score 100/item). Median (range) total duration of EF was 49 days (28-96). Overall compliance was 96%. At 6 months, compared with preoperatively, 58 (39%) patients lost \u3e10% weight, with median (IQR) loss of 6.8 (4-9) kg, and 62 (41%) patients lost \u3e10% BMI. Lean body mass and body fat were significantly (p \u3c 0.001) decreased. Mean global QL decreased (p \u3c 0.01) from 82 to 72. A high mean satisfaction score (\u3e70 ± 11/100) was reported, \u3e80 for practical training, activities of daily living, pain, anxiety, recovery and impact on caregivers, with lower scores for appetite (33 ± 24) and sleep (63 ± 30). Supplemental HEN for a minimum of one month postdischarge is associated with high compliance and patient satisfaction. Weight and BMI loss may still be substantial, however this may be less than published literature, in addition the impact on HR-QL may be attenuated. HEN has both subjective and objective rationale and merits further validation toward optimizing nutritional recovery and overall wellbeing

Factors associated with changes of state of foot conformation and lameness in a flock of sheep

The aim of this research was to investigate transitions between foot conformation, lameness and footrot in sheep. Data came from one lowland flock of approximately 700 ewes studied for 18 months. Multilevel multistate analyses of transitions between good and poor foot conformation states in ewes, and lame and non-lame states in ewes and lambs were conducted. Key results were that the longer sheep had feet in good conformation, the more likely they were to stay in this state; similarly, the longer a ewe was not lame the more likely she was not to become lame. Ewes with poor foot conformation were more likely to become lame (OR: 1.83 (1.24-2.67)) and to be > 4 years (OR: 1.50(1.09-2.05)). Ewes with footrot were less likely to move to good foot conformation (OR: 0.48 (0.31-0.75)) and were more likely to become lame (OR: 3.81(2.60-5.59)). Ewes lame for > 4 days and not treated with parenteral antibacterials had a higher risk of developing (OR: 2.00 (1.08-3.61)), or remaining in (OR: 0.49 (0.29-0.95)) poor foot conformation compared with ewes never lame. Treatment of ewes lame with footrot with parenteral antibacterials increased the probability of transition from a lame to a non-lame state (OR: 1.46 (1.05-2.02)) and these ewes, even if lame for > 4 days, were not more likely to develop poor foot conformation. The risk of a ewe becoming lame increased when at least one of her offspring was lame (OR: 2.03 (1.42-2.92)) and when the prevalence of lameness in the group was ≥ 5% (OR: 1.42 (1.06-1.92)). Lambs were at increased risk of becoming lame when they were male (OR: 1.42 (1.01-2.01)), single (OR: 1.86 (1.34-2.59)) or had a lame dam or sibling (OR: 3.10 (1.81-5.32)). There were no explanatory variables associated with lambs recovering from lameness. We conclude that poor foot conformation in ewes increases the susceptibility of ewes to become lame and that this can arise from untreated footrot. Treatment of ewes lame with footrot with parenteral antibacterials leads to recovery from lameness and prevents or resolves poor foot conformation which then reduces the susceptibility to further lameness with footrot

Integrable Deformations of c^=1\hat{c}=1 Strings in Flux Backgrounds

We study d=2 0A string theory perturbed by tachyon momentum modes in backgrounds with non-trivial tachyon condensate and Ramond-Ramond (RR) flux. In the matrix model description, we uncover a complexified Toda lattice hierarchy constrained by a pair of novel holomorphic string equations. We solve these constraints in the classical limit for general RR flux and tachyon condensate. Due to the non-holomorphic nature of the tachyon perturbations, the transcendental equations which we derive for the string susceptibility are manifestly non-holomorphic. We explore the phase structure and critical behavior of the theory.Comment: 39 pages, 4 figure

Confusing the extragalactic neutrino flux limit with a neutrino propagation limit

We study the possible suppression of the extragalactic neutrino flux due to a nonstandard interaction during its propagation. In particular, we study neutrino interaction with an ultra-light scalar field dark matter. It is shown that the extragalactic neutrino flux may be suppressed by such an interaction, leading to a new mechanism to reduce the ultra-high energy neutrino flux. We study both the cases of non-self-conjugate as well as self-conjugate dark matter. In the first case, the suppression is independent of the neutrino and dark matter masses. We conclude that care must be taken when explaining limits on the neutrino flux through source acceleration mechanisms only, since there could be other mechanisms for the reduction of the neutrino flux.Comment: 15 pages, 4 figures. Important changes implemented. Abstract modified. Conclusions remain. To be published in JCA

Neuropsychological constraints to human data production on a global scale

Which are the factors underlying human information production on a global level? In order to gain an insight into this question we study a corpus of 252-633 Million publicly available data files on the Internet corresponding to an overall storage volume of 284-675 Terabytes. Analyzing the file size distribution for several distinct data types we find indications that the neuropsychological capacity of the human brain to process and record information may constitute the dominant limiting factor for the overall growth of globally stored information, with real-world economic constraints having only a negligible influence. This supposition draws support from the observation that the files size distributions follow a power law for data without a time component, like images, and a log-normal distribution for multimedia files, for which time is a defining qualia.Comment: to be published in: European Physical Journal