Miracle-dz/UniFAR-FTUs huggingface dataset:
Binding and Segmentation via a Neural Mass Model Trained with Hebbian and Anti-Hebbian Mechanisms

Synchronization of neural activity in the gamma band, modulated by a slower theta rhythm, is assumed to play a significant role in binding and segmentation of multiple objects. In the present work, a recent neural mass model of a single cortical column is used to analyze the synaptic mechanisms which can warrant synchronization and desynchronization of cortical columns, during an autoassociation memory task. The model considers two distinct layers communicating via feedforward connections. The first layer receives the external input and works as an autoassociative network in the theta band, to recover a previously memorized object from incomplete information. The second realizes segmentation of different objects in the gamma band. To this end, units within both layers are connected with synapses trained on the basis of previous experience to store objects. The main model assumptions are: (i) recovery of incomplete objects is realized by excitatory synapses from pyramidal to pyramidal neurons in the same object; (ii) binding in the gamma range is realized by excitatory synapses from pyramidal neurons to fast inhibitory interneurons in the same object. These synapses (both at points i and ii) have a few ms dynamics and are trained with a Hebbian mechanism. (iii) Segmentation is realized with faster AMPA synapses, with rise times smaller than 1 ms, trained with an anti-Hebbian mechanism. Results show that the model, with the previous assumptions, can correctly reconstruct and segment three simultaneous objects, starting from incomplete knowledge. Segmentation of more objects is possible but requires an increased ratio between the theta and gamma periods.
Impartiality, efficiency or reliability? A critical response to expert evidence law and procedure in Australia

This presentation might be considered a little provocative, but after reading a copy of Strengthening the Forensic Sciences in the US from the National Academy of Sciences – released this past week – much of what I have to say cannot be considered particularly controversial. I’ll say more about this important Report toward the end of this plenary lecture. Tonight, I want to discuss our standards for admitting incriminating expert opinion evidence, along with some of the discretions and protections afforded to defendants in the context of the criminal trial. In the process, I’ll refer to recent reforms such as codes of conduct and concurrent evidence. In summary, my two main points are: that forensic scientists should endeavour to validate their techniques; and that courts should impose a reliability threshold on the admission of incriminating expert opinion evidence. I’ll begin with a brief discussion of our admissibility standards and a few examples of recent decisions from the NSW Court of Criminal Appeal.
Intra‐ and inter‐observer variability in the assessment of intrapartum cardiotocograms

The diagnostic value of a test depends on the variability of the test results and the accuracy of the test. The object of this investigation was to estimate the observer variability and the accuracy, when intrapartum CTGs were assessed by experienced obstetricians. Fifty CTGs were evaluated twice by four obstetricians. They were asked to identify the CTGs belonging to the compromised infants. They were told the criteria for a compromised infant and the incidence (one‐ third). Eleven (22%) of the CTGs were assessed in the same way of all the obstetricians in both evaluations. Between the obstetricians, the accuracy ranged from 50 to 66%. We conclude that the considerable observer variability found in this and other investigations must severely impair the clinical value of electronic fetal monitoring (EFM). The variability must be reduced before the “true” predictive value and the cost/benefit of EFM can be estimated.
Right Brain: The E-lephant in the room

The electronic medical record (EMR) is changing the landscape of medical practice in the modern age. Increasing emphasis on quality metric reporting, data-driven documentation, and timely coding and billing are pressuring institutions across the country to adopt the latest EMR technology. The impact of these systems on the patient–physician relationship is profound. One year following the latest EMR transition, one resident reviews his experience and provides a personal perspective on the impact the EMR on patient-physician communication.
Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer's Disease

Computer Aided Diagnosis (CAD) constitutes an important tool for the early diagnosis of Alzheimer's Disease (AD), which, in turn, allows the application of treatments that can be simpler and more likely to be effective. This paper explores the construction of classification methods based on deep learning architectures applied on brain regions defined by the Automated Anatomical Labeling (AAL). Gray Matter (GM) images from each brain area have been split into 3D patches according to the regions defined by the AAL atlas and these patches are used to train different deep belief networks. An ensemble of deep belief networks is then composed where the final prediction is determined by a voting scheme. Two deep learning based structures and four different voting schemes are implemented and compared, giving as a result a potent classification architecture where discriminative features are computed in an unsupervised fashion. The resulting method has been evaluated using a large dataset from the Alzheimer's disease Neuroimaging Initiative (ADNI). Classification results assessed by cross-validation prove that the proposed method is not only valid for differentiate between controls (NC) and AD images, but it also provides good performances when tested for the more challenging case of classifying Mild Cognitive Impairment (MCI) Subjects. In particular, the classification architecture provides accuracy values up to 0.90 and AUC of 0.95 for NC/AD classification, 0.84 and AUC of 0.91 for stable MCI/AD classification and 0.83 and AUC of 0.95 for NC/MCI converters classification.
Explanatory factors for the increased mortality of stroke patients with depression

Objective: To identify explanatory factors for the association between depression and increased mortality up to 5 years after stroke. Methods: In this cohort study, data from the South London Stroke Register (1998–2013) were used. Patients (n = 3,722) were assessed at stroke onset. Baseline data included sociodemographics and stroke severity. Follow-up at 3 months included assessment for depression with the Hospital Anxiety and Depression Scale (scores ≥7 = depression). Associations between depression at 3 months and mortality within 5 years of stroke were estimated with Cox regression models adjusted for age, sex, ethnicity, and stroke severity, and subsequently adjusted for possible explanatory factors for the association. These factors, introduced into the model individually, included comorbidities at baseline, smoking and alcohol use, compliance with medication, treatment with selective serotonin reuptake inhibitors (SSRIs), social support, and activities of daily living at 3 months. Results: A total of 1,354 survivors were assessed at 3 months: 435 (32.1%) had depression and 331 (24.4%) died within 5 years. Survivors with depression had a greater risk of mortality (hazard ratio [HR] 1.41 [95% confidence interval (CI) 1.13–1.77]; p = 0.002). The association between depression and mortality was strongest in patients younger than 65 years. Adjustment for comorbidities, smoking and alcohol use, SSRI use, social support, and compliance with medication did not change these associations. SSRIs started after stroke were associated with higher mortality, independently of depression at 3 months (HR 1.72 [95% CI 1.34–2.20]; p < 0.001). Conclusion: Depression after stroke is associated with higher mortality, particularly among younger patients. Stroke survivors taking SSRIs have an increased mortality. The association between depression and mortality is not explained by other individual medical factors.
Method of delivery and subjective distress: Women's emotional responses to childbirth practices

Abstract Forty women who had given birth for the first time following full term-pregnancy participated in a study concerning distress in response to one of four obstetric procedures: spontaneous vaginal delivery; induced vaginal delivery; instrumental vaginal delivery; or, emergency caesarean section. During their sixth week post-delivery, they completed questionnaires and supplied biographical data. Those who had undergone instrumental delivery (as assisted by episiotomy) described the birth of their child as significantly more distressing, themselves as being more at risk of injury and dissatisfied with the efficacy of pain relief during labour than women in the other three obstetric groups. By comparison, those who had an emergency caesarean section retrospectively reported little psychological distress or perceived risk of serious injury and significantly greater satisfaction with pain relief. Thus, it would appear that the well-being of women who experience an instrumental delivery is in need of additional support. Further prospective research is needed with a larger study population to confirm or otherwise the observations made in this initial investigation.
Real-Time Neural Network Based Camera Localization and its Extension to Mobile Robot Control

The feasibility of using neural networks for camera localization and mobile robot control is investigated here. This approach has the advantages of eliminating the laborious and error-prone process of imaging system modeling and calibration procedures. Basically, two different approaches of using neural networks are introduced of which one is a hybrid approach combining neural networks and the pinhole-based analytic solution while the other is purely neural network based. These techniques have been tested and compared through both simulation and real-time experiments and are shown to yield more precise localization than analytic approaches. Furthermore, this neural localization method is also shown to be directly applicable to the navigation control of an experimental mobile robot along the hallway purely guided by a dark wall strip. It also facilitates multi-sensor fusion through the use of multiple sensors of different types for control due to the network's capability of learning without models.
Fe/S protein assembly gene IBA57 mutation causes hereditary spastic paraplegia

Objective: To present the clinical, molecular, and cell biological findings in a family with an autosomal recessive form of hereditary spastic paraplegia characterized by a combination of spastic paraplegia, optic atrophy, and peripheral neuropathy (SPOAN). Methods: We used a combination of whole-genome linkage analysis and exome sequencing to map the disease locus and to identify the responsible gene. To analyze the physiologic consequences of the disease, we used biochemical and cell biological methods. Results: Ten members of a highly consanguineous family manifested a childhood-onset SPOAN-like phenotype with slow progression into late adulthood. We mapped this disorder to a locus on chromosome 1q and identified a homozygous donor splice-site mutation in the IBA57 gene, previously implicated in 2 infants with lethal perinatal encephalomyopathy. This gene encodes the mitochondrial iron-sulfur (Fe/S) protein assembly factor IBA57. In addition to a severely decreased amount of normal IBA57 messenger RNA, a patient's cells expressed an aberrantly spliced messenger RNA with a premature stop codon. Lymphoblasts contained 10-fold–lower levels of wild-type, but no signs of truncated IBA57 protein. The decrease in functional IBA57 resulted in reduced levels and activities of several mitochondrial [4Fe-4S] proteins, including complexes I and II, while mitochondrial [2Fe-2S] proteins remained normal. Conclusions: Our findings reinforce the suggested specific function of IBA57 in mitochondrial [4Fe-4S] protein maturation and provide additional evidence for its role in human disease. The less decreased IBA57 protein level in this family explains phenotypic differences compared with the previously described lethal encephalomyopathy with no functional IBA57.
Development of a reliable, valid measure to assess parents' and teachers' understanding of postural care for children with physical disabilities: the (UKC PostCarD) questionnaire.

BACKGROUND Previous research has highlighted lack of knowledge, understanding and confidence among parents and teachers responsible for the postural care of children with physical disability. Interventions designed to improve these qualities require a reliable and validated tool to assess pre- and post-intervention levels. Currently, however, no validated measure of postural care confidence (i.e. self-efficacy) exists. Hence, the aim of this research was to develop a reliable and valid questionnaire to assess parents' and teachers' confidence, alongside knowledge and understanding of postural care - the Understanding Knowledge and Confidence in providing POSTural CARe for children with Disabilities (UKC PostCarD) questionnaire. METHODS Items were developed by a multidisciplinary team and designed to map onto the content of 'An A-to-Z of Postural Care'. Parents, teachers and therapists assessed items for face validity. Scale reliability was then assessed using Cronbach's alpha and known-group validity was assessed by comparing scores of an 'expert' group (physiotherapists and occupational therapists) with those of a 'non-expert' group (with no formal training in postural care). RESULTS The total scale and all three subscales (understanding and knowledge, confidence and concerns) demonstrated adequate reliability (α > 0.83) and subscale correlations formed a logical pattern (understanding and knowledge correlated positively with confidence and negatively with concerns). Experts' (n = 111) scores were higher than non-experts' (n = 79) for the total scale and all subscales (P < 0.001). CONCLUSION Findings support the reliability and validity of the UKC PostCarD questionnaire as a measure of understanding, knowledge and confidence in providing postural care for children with disabilities.
Spinal fusion in girls with Rett syndrome: post-operative recovery and family experiences.

BACKGROUND Rett syndrome is a severe neurodevelopmental disorder mainly affecting females and scoliosis is a common co-morbidity. Spinal fusion may be recommended if the scoliosis is progressive. This qualitative study investigated recovery of girls with Rett syndrome during the first 12 post-operative months and explored family perspectives and coping around the time of surgery. METHOD Parents registered with the population-based Australian Rett Syndrome Database were recruited to this study if their daughter had a confirmed pathogenic MECP2 mutation and spinal fusion between 2006 and 2012. Twenty-five interviews were conducted to determine their daughter's recovery and parental stresses and coping. Themes in the interview data were identified with content analysis, and the regaining of gross motor skills over the first 12 post-operative months was described with time-to-event (survival) analysis. RESULTS Pain and energy levels, appetite, mood and coinciding health issues influenced their daughter's post-operative recovery. The majority of girls recovered preoperative sitting (88%), standing (81%) and walking (80%) by 12 months. The decision to proceed with surgery was associated with feelings of fear, obligation, relief and guilt for families. Development of complications, poor support and feelings of isolation increased their emotional burden whereas adequate information and discharge preparation, confidence in self and staff, and balancing personal needs with their daughter's care relieved this burden. INTERPRETATION Our study identified clinical practice issues in relation to families whose daughter with Rett syndrome undergoes spinal fusion, issues that are also relevant to other severe disabilities. Return of wellness and gross motor skills following spinal fusion in girls with Rett syndrome occurred within the first 12 post-operative months in most cases. Parents require information and practical support to alleviate their emotional burden.
Short- and long-term outcome of chronic pallidal neurostimulation in monogenic isolated dystonia

Objectives: Deep brain stimulation of the internal pallidum (GPi-DBS) is an established therapeutic option in treatment-refractory dystonia, and the identification of factors predicting surgical outcome is needed to optimize patient selection. Methods: In this retrospective multicenter study, GPi-DBS outcome of 8 patients with DYT6, 9 with DYT1, and 38 with isolated dystonia without known monogenic cause (non-DYT) was assessed at early (1–16 months) and late (22–92 months) follow-up using Burke-Fahn-Marsden Dystonia Rating Scale (BFMDRS) scores. Results: At early follow-up, mean reduction of dystonia severity was greater in patients with DYT1 (BFMDRS score: −60%) and non-DYT dystonia (−52%) than in patients with DYT6 dystonia (−32%; p = 0.046). Accordingly, the rate of responders was considerably lower in the latter group (57% vs >90%; p = 0.017). At late follow-up, however, GPi-DBS resulted in comparable improvement in all 3 groups (DYT6, −42%; DYT1, −44; non-DYT, −61%). Additional DBS of the same or another brain target was performed in 3 of 8 patients with DYT6 dystonia with varying results. Regardless of the genotype, patients with a shorter duration from onset of dystonia to surgery had better control of dystonia postoperatively. Conclusions: Long-term GPi-DBS is effective in patients with DYT6, DYT1, and non-DYT dystonia. However, the effect of DBS appears to be less predictable in patients with DYT6, suggesting that pre-DBS genetic testing and counseling for known dystonia gene mutations may be indicated. GPi-DBS should probably be considered earlier in the disease course. Classification of evidence: This study provides Class IV evidence that long-term GPi-DBS improves dystonia in patients with DYT1, DYT6, and non-DYT dystonia.
The role of collaboration in the cognitive development of young children: a systematic review.

BACKGROUND Collaboration is a key facilitator of cognitive development in early childhood; this review evaluates which factors mediate the impact of collaborative interactions on cognitive development in children aged 4-7 years. METHODS A systematic search strategy identified relevant studies (n = 21), which assessed the role of ability on the relationship between collaboration and cognitive development. Other factors that interact with ability were also assessed: gender, sociability/friendship, discussion, age, feedback and structure. RESULTS Immediate benefits of collaboration on cognitive development are highlighted for same-age peers. Collaborative interactions are beneficial for tasks measuring visual perception, problem-solving and rule-based thinking, but not for word-reading and spatial perspective-taking. Collaboration is particularly beneficial for lower-ability children when there is an ability asymmetry. High-ability children either regressed or did not benefit when paired with lower-ability participants. CONCLUSIONS Overall, the studies included within this review indicate that brief one-off interactions can have a significant, positive effect on short-term cognitive development in children of infant school age. The longer-term advantages of collaboration are still unclear. Implications for practice and future research are discussed.
Randomized phase III study of whole-brain radiotherapy for primary CNS lymphoma

Objective: This is the final report of a phase III randomized study to evaluate whole-brain radiotherapy (WBRT) in primary therapy of primary CNS lymphoma (PCNSL) after a median follow-up of 81.2 months. Methods: Patients with newly diagnosed PCNSL were randomized to high-dose methotrexate (HDMTX)–based chemotherapy alone or followed by WBRT. We hypothesized that the omission of WBRT would not compromise overall survival (OS; primary endpoint), using a noninferiority design with a margin of 0.9. Results: In the per-protocol population (n = 320), WBRT nonsignificantly prolonged progression-free survival (PFS) (median 18.2 vs 11.9 months, hazard ratio [HR] 0.83 [95% confidence interval (CI) 0.65–1.06], p = 0.14) and significantly PFS from last HDMTX (25.5 vs 12.0 months, HR 0.65 [95% CI 0.5–0.83], p = 0.001), but without OS prolongation (35.6 vs 37.1 months, HR 1.03 [95% CI 0.79–1.35], p = 0.82). In the intent-to-treat population (n = 410), there was a prolongation by WBRT of both PFS (15.4 vs 9.9 months, HR 0.79 [95% CI 0.64–0.98], p = 0.034) and PFS from last HDMTX (19.4 vs 11.9 months, HR 0.72 [95% CI 0.58–0.89], p = 0.003), but not of OS (32.4 vs 36.1 months, HR 0.98 [95% CI 0.79–1.26], p = 0.98). Conclusion: Although the statistical proof of noninferiority regarding OS was not given, our results suggest no worsening of OS without WBRT in primary therapy of PCNSL. Classification of evidence: This study provides Class II evidence that in PCNSL HDMTX-based chemotherapy followed by WBRT does not significantly increase survival compared to chemotherapy alone. The study lacked the precision to exclude an important survival benefit or harm from WBRT.
Languages for High-Productivity Computing: the DARPA HPCS Language Project

We present a summary of the current state of DARPA's HPCS language project. We describe the challenges facing any new language for scalable parallel computing, including the strong competition presented by MPI and the existing Partitioned Global Address Space (PGAS) Languages. We identify some of the major features of the proposed languages, using MPI and the PGAS languages for comparison, and describe the opportunities for higher productivity along with the implementation challenges. Finally, we present the conclusions of a recent workshop in which a concrete plan for the next few years was proposed.
High Performance and Scalable Radix Sorting: a Case Study of Implementing Dynamic Parallelism for GPU Computing

The need to rank and order data is pervasive, and many algorithms are fundamentally dependent upon sorting and partitioning operations. Prior to this work, GPU stream processors have been perceived as challenging targets for problems with dynamic and global data-dependences such as sorting. This paper presents: (1) a family of very efficient parallel algorithms for radix sorting; and (2) our allocation-oriented algorithmic design strategies that match the strengths of GPU processor architecture to this genre of dynamic parallelism. We demonstrate multiple factors of speedup (up to 3.8x) compared to state-of-the-art GPU sorting. We also reverse the performance differentials observed between GPU and multi/many-core CPU architectures by recent comparisons in the literature, including those with 32-core CPU-based accelerators. Our average sorting rates exceed 1B 32-bit keys/sec on a single GPU microprocessor. Our sorting passes are constructed from a very efficient parallel prefix scan "runtime" that incorporates three design features: (1) kernel fusion for locally generating and consuming prefix scan data; (2) multi-scan for performing multiple related, concurrent prefix scans (one for each partitioning bin); and (3) flexible algorithm serialization for avoiding unnecessary synchronization and communication within algorithmic phases, allowing us to construct a single implementation that scales well across all generations and configurations of programmable NVIDIA GPUs.