Miracle-dz/UniFAR-FTUs huggingface dataset:
Risk Factors for Early Brain AVM Rupture: Cohort Study of Pediatric and Adult Patients

BACKGROUND AND PURPOSE: Whether architectural characteristics of ruptured brain AVMs vary across the life span is unknown. We aimed to identify angioarchitectural features associated with brain AVMs ruptured early in life. MATERIALS AND METHODS: Patients with ruptured brain AVMs referred to 2 distinct academic centers between 2000 and 2018 were pooled and retrospectively analyzed. Imaging was retrospectively reviewed for angioarchitectural characteristics, including nidus size, location, Spetzler-Martin grade, venous drainage, and arterial or nidal aneurysm. Angioarchitecture variations across age groups were analyzed using uni- and multivariable models; then cohorts were pooled and analyzed using Kaplan-Meier and Cox models to determine factors associated with earlier rupture. RESULTS: Among 320 included patients, 122 children (mean age, 9.8 ± 3.8 years) and 198 adults (mean age, 43.3 ± 15.7 years) were analyzed. Pediatric brain AVMs were more frequently deeply located (56.3% versus 21.2%, P < .001), with a larger nidus (24.2 versus 18.9 mm, P = .002), were less frequently nidal (15.9% versus 23.5%, P = .03) and arterial aneurysms (2.7% versus 17.9%, P < .001), and had similar drainage patterns or Spetzler-Martin grades. In the fully adjusted Cox model, supratentorial, deep brain AVM locations (adjusted relative risk, 1.19; 95% CI, 1.01–1.41; P = .03 and adjusted relative risk, 1.43; 95% CI, 1.22–1.67; P < .001, respectively) and exclusively deep venous drainage (adjusted relative risk, 1.46, 95% CI, 1.21–1.76; P < .001) were associated with earlier rupture, whereas arterial or nidal aneurysms were associated with rupture later in life. CONCLUSIONS: The angioarchitecture of ruptured brain AVMs significantly varies across the life span. These distinct features may help to guide treatment decisions for patients with unruptured AVMs.
Investigation of Data Augmentation Techniques for Disordered Speech Recognition

Disordered speech recognition is a highly challenging task. The underlying neuro-motor conditions of people with speech disorders, often compounded with co-occurring physical disabilities, lead to the difficulty in collecting large quantities of speech required for system development. This paper investigates a set of data augmentation techniques for disordered speech recognition, including vocal tract length perturbation (VTLP), tempo perturbation and speed perturbation. Both normal and disordered speech were exploited in the augmentation process. Variability among impaired speakers in both the original and augmented data was modeled using learning hidden unit contributions (LHUC) based speaker adaptive training. The final speaker adapted system constructed using the UASpeech corpus and the best augmentation approach based on speed perturbation produced up to 2.92% absolute (9.3% relative) word error rate (WER) reduction over the baseline system without data augmentation, and gave an overall WER of 26.37% on the test set containing 16 dysarthric speakers.
Rooms without walls: Young children draw objects but not layouts.

Drawing is the epitome of uniquely human expression, with few known limits beyond those of our perceptual and motor systems and the cultures in and for which we draw. The present study evaluates whether the drawings of young children nevertheless reveal an early emerging bias in the depiction of 2 different foundational spatial categories: layouts and objects. Across 2 experiments following preregistered designs and analysis plans, 4-year-old children either sat in a colorful "fort" or looked at a small "toy" version of the fort and were asked to draw exactly what they saw. Children's drawings often omitted the walls composing the fort's layout but included the corresponding object parts for the toy. Symbolic representations of space in young children's drawings thus privilege small-scale objects over large and fixed layout geometry. A distinction between the intuitive geometries of layouts and objects leads to their differential treatment in both humans and other animals during everyday navigation. This distinction may also underlie the differential treatment of layouts and objects in children's drawings. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
Towards the optimal use of video recordings to support the flipped classroom in medical school basic sciences education

ABSTRACT The use of recorded video in medical education is increasing. Video material may be assigned before scheduled sessions to create a flipped classroom. Here, the instructor may lead a session that is organized for discussion, interpretation, and reflection of the previewed content. We established conditions that lead to increased student participation and engagement with prerecorded content for a medical genetics section in a first-year medical school basic sciences integrated course. Preliminary analysis of an asynchronous video-based pre-professional program directed the design of video material to support a first semester medical genetics course. We compared student participation in, and opinion of, a flipped-classroom session based on written vs. video presentation of material. Student opinion was surveyed with audience response devices (clickers). Shorter videos that were created specifically for the course were preferred by students compared to recordings of previously delivered lectures. Students preferred videos to assigned reading material and consistent scheduling throughout the teaching semester increased student participation. Presentation of medical school content with previously recorded video material can be a useful teaching tool if properly implemented.
Prophylactic effects of vitamin E and coriander (Coriandrum sativum) extract on lead-induced testicular damage in Swiss albino mice

Lead toxicity is the vital issue in the developing countries that causes serious health hazards in animals and humans. Prophylactic effects of vitamin E and coriander (Coriandrum sativum) extract on lead-induced testicular damage in Swiss albino mice were investigated in the present study by gross and histological studies in five groups (control, lead intoxicated, vitamin E-treated, coriander-treated, vitamin E and coriander-treated). Treatment was done for 42 days. In the present study, weight and length of left and right testes were significantly (p
Assessment of Inflammation and Calcification in Pseudoxanthoma Elasticum Arteries and Skin with 18F-FluroDeoxyGlucose and 18F-Sodium Fluoride Positron Emission Tomography/Computed Tomography Imaging: The GOCAPXE Trial

Background: Pseudoxanthoma elasticum (PXE) is an inherited metabolic disease characterized by elastic fiber fragmentation and ectopic calcification. There is growing evidence that vascular calcification is associated with inflammatory status and is enhanced by inflammatory cytokines. Since PXE has never been considered as an inflammatory condition, no incidence of chronic inflammation leading to calcification in PXE has been reported and should be investigated. In atherosclerosis and aortic stenosis, positron emission tomography combined with computed tomographic (PET-CT) imaging has demonstrated a correlation between inflammation and calcification. The purpose of this study was to assess skin/artery inflammation and calcification in PXE patients. Methods: 18F-FluroDeoxyGlucose (18F-FDG) and 18F-Sodium Fluoride (18F-NaF) PET-CT, CT-imaging and Pulse wave velocity (PWV) were used to determine skin/vascular inflammation, tissue calcification, arterial calcium score (CS) and stiffness, respectively. In addition, inorganic pyrophosphate, high-sensitive C-reactive protein and cytokines plasma levels were monitored. Results: In 23 PXE patients, assessment of inflammation revealed significant 18F-FDG uptake in diseased skin areas contrary to normal regions, and exclusively in the proximal aorta contrary to the popliteal arteries. There was no correlation between 18F-FDG uptake and PWV in the aortic wall. Assessment of calcification demonstrated significant 18F-NaF uptake in diseased skin regions and in the proximal aorta and femoral arteries. 18F-NaF wall uptake correlated with CS in the femoral arteries, and aortic wall PWV. Multivariate analysis indicated that aortic wall 18F-NaF uptake is associated with diastolic blood pressure. There was no significant correlation between 18F-FDG and 18F-NaF uptake in any of the artery walls. Conclusion: In the present cross-sectional study, inflammation and calcification were not correlated. PXE would appear to more closely resemble a chronic disease model of ectopic calcification than an inflammatory condition. To assess early ectopic calcification in PXE patients, 18F-NaF-PET-CT may be more relevant than CT imaging. It potentially constitutes a biomarker for disease-modifying anti-calcifying drug assessment in PXE.
Risk and Protective Factors for Gun Violence in Male Juvenile Offenders

ABSTRACT Objective To examine several risk and protective factors as predictors of future gun violence among male juvenile offenders. Method Data came from a longitudinal cohort of 1,170 male juvenile offenders (42.1% Black; 34.0% Latino; 19.2% White) ages 14–19 who were adjudicated for a serious offense. Interviews were conducted with participants every 6 months for 3 years and then annually for 4 years. The outcome was self-reported gun violence assessed at each follow-up. The time-lagged predictors included several self-reported risk factors (i.e., gun carrying, non-gun violence, drug dealing, heavy drinking, poor impulse control, rewards for crime, peer gun carrying, peer non-gun delinquency, gang membership) and protective factors (i.e., concern for others, expectations, and aspirations for work/family, religious beliefs, adult social supports). The data were analyzed using generalized estimating equation models. Results There were 266 participants who reported engaging in gun violence at one or more assessments. Gun carrying was a significant predictor of future gun violence; however, nearly half (49%) of the juveniles who reported gun carrying across the repeated assessments did not report engaging in gun violence. Besides gun carrying, several risk (i.e., drug dealing, heavy drinking, rewards for crime, gang membership, peer gun carrying) and protective (i.e., concern for others, aspirations for work/family, religious beliefs, adult social supports) factors significantly predicted gun violence, after controlling for their co-occurrence (Risk factor odds ratios = 1.18–1.50; Protective factor odds ratios =.44-.87; ps<.05). Conclusions Interventions designed to prevent gun violence among juvenile offenders should reduce targeted risk factors, while strengthening protective factors that may offset these risks.
Spectral features based convolutional neural network for accurate and prompt identification of schizophrenic patients

Schizophrenia is a fatal mental disorder, which affects millions of people globally by the disturbance in their thinking, feeling and behaviour. In the age of the internet of things assisted with cloud computing and machine learning techniques, the computer-aided diagnosis of schizophrenia is essentially required to provide its patients with an opportunity to own a better quality of life. In this context, the present paper proposes a spectral features based convolutional neural network (CNN) model for accurate identification of schizophrenic patients using spectral analysis of multichannel EEG signals in real-time. This model processes acquired EEG signals with filtering, segmentation and conversion into frequency domain. Then, given frequency domain segments are divided into six distinct spectral bands like delta, theta-1, theta-2, alpha, beta and gamma. The spectral features including mean spectral amplitude, spectral power and Hjorth descriptors (Activity, Mobility and Complexity) are extracted from each band. These features are independently fed to the proposed spectral features-based CNN and long short-term memory network (LSTM) models for classification. This work also makes use of raw time-domain and frequency-domain EEG segments for classification using temporal CNN and spectral CNN models of same architectures respectively. The overall analysis of simulation results of all models exhibits that the proposed spectral features based CNN model is an efficient technique for accurate and prompt identification of schizophrenic patients among healthy individuals with average classification accuracies of 94.08% and 98.56% for two different datasets with optimally small classification time.
The TRIOBP Isoforms and Their Distinct Roles in Actin Stabilization, Deafness, Mental Illness, and Cancer

The TRIOBP (TRIO and F-actin Binding Protein) gene encodes multiple proteins, which together play crucial roles in modulating the assembly of the actin cytoskeleton. Splicing of the TRIOBP gene is complex, with the two most studied TRIOBP protein isoforms sharing no overlapping amino acid sequence with each other. TRIOBP-1 (also known as TARA or TAP68) is a mainly structured protein that is ubiquitously expressed and binds to F-actin, preventing its depolymerization. It has been shown to be important for many processes including in the cell cycle, adhesion junctions, and neuronal differentiation. TRIOBP-1 has been implicated in schizophrenia through the formation of protein aggregates in the brain. In contrast, TRIOBP-4 is an entirely disordered protein with a highly specialized expression pattern. It is known to be crucial for the bundling of actin in the stereocilia of the inner ear, with mutations in it causing severe or profound hearing loss. Both of these isoforms are implicated in cancer. Additional longer isoforms of TRIOBP exist, which overlap with both TRIOBP-1 and 4. These appear to participate in the functions of both shorter isoforms, while also possessing unique functions in the inner ear. In this review, the structures and functions of all of these isoforms are discussed, with a view to understanding how they operate, both alone and in combination, to modulate actin and their consequences for human illness.
Separation of Permethylated O-Glycans, Free Oligosaccharides, and Glycosphingolipid-Glycans Using Porous Graphitized Carbon (PGC) Column

Glycosylation is one of the most common and complex post-translational modifications of proteins. However, there are other carbohydrates such as free oligosaccharides and glycosphingolipids-glycans that are associated with important biological and clinical roles. To analyze these molecules using liquid chromatography coupled with mass spectrometry (LC-MS), the permethylation approach was utilized. Although permethylation is a commonly utilized glycan derivatization technique, separation of permethylated glycans released from glycosphingolipid (GSL) by LC-MS has never been previously demonstrated. Here, a nanoflow porous graphitized carbon (PGC) column coupled with a high-resolution mass spectrometer was used to achieve isomeric separation of these permethylated glycans. We demonstrate the separation of free reducing end and reduced end O-glycans, free oligosaccharides derived from human milk, and GSL glycans derived from the MDA-MB-231BR cancer cell line using PGC-LC-MS.
Poly(N,N′-Diethylacrylamide)-Based Thermoresponsive Hydrogels with Double Network Structure

Temperature response of double network (DN) hydrogels composed of thermoresponsive poly(N,N′-diethylacrylamide) (PDEAAm) and hydrophilic polyacrylamide (PAAm) or poly(N,N′-dimethylacrylamide) (PDMAAm) was studied by a combination of swelling measurements, differential scanning calorimetry (DSC) and 1H NMR and UV-Vis spectroscopies. Presence of the second hydrophilic network in DN hydrogels influenced their thermal sensitivity significantly. DN hydrogels show less intensive changes in deswelling, smaller enthalpy, and entropy changes connected with phase transition and broader temperature interval of the transition than the single network (SN) hydrogels. Above the transition, the DN hydrogels contain significantly more permanently bound water in comparison with SN hydrogels due to interaction of water with the hydrophilic component. Unlike swelling and DSC experiments, a rather abrupt transition was revealed from temperature-dependent NMR spectra. Release study showed that model methylene blue molecules are released from SN and DN hydrogels within different time scale. New thermodynamical model of deswelling behaviour based on the approach of the van’t Hoff analysis was developed. The model allows to determine thermodynamic parameters connected with temperature-induced volume transition, such as the standard change of enthalpy and entropy and critical temperatures and characterize the structurally different states of water.
The effects of inulin as a prebiotic supplement and the synbiotic interactions of probiotics to improve oxalate degrading activity

This paper examines the impact of inulin, Lactobacillus spp. (candidate probiotics), and synbiotic (inulin + Lactobacillus spp.) preparation on oxalate degrading activity and viability of Escherichia coli. In this study, the lowest viability of E. coli was recorded for the synbiotic treatments of Lactobacillus fermentum BP5 (59%) and IP5 (60%). The oxalate degrading activity of L. fermentum IP5 was 38.18 and 29.60% higher than the other strains after growth in 10 mM and 20 mM MRS-ox plus 5% inulin media, respectively. The mixture of three strains demonstrated higher oxalate degrading capacity than the individual strains and showed the same good growth rates (9.43 CFU mL ) as individuals. The study concludes that the addition of prebiotics has a significant effect on probiotics; therefore, a combination of L. fermentum IP5 with inulin could be a viable probiotic-based functional food approach in administering oxalate metabolism and also treatment of E. coli-related infections.
A Novel Role for the Hippocampus in Category Learning

The hippocampus has long been thought to play an important role in remembering details of specific experiences. Only recently has it been implicated in integrating information across events to generalize knowledge ([Preston et al., 2004][1]; [Zeithamova et al., 2012][2]; [Pajkert et al., 2017][3]).
Early vascular modifications after endoscopic endonasal pituitary surgery: The role of OCT-angiography

Purpose The aim of the present study is to analyze the changes in retinal vessel density (VD), using Optical Coherence Tomography Angiography (OCT-A), in patients that received endoscopic endonasal approach for the removal of an intra-suprasellar pituitary adenoma compressing optic chiasm. Methods We evaluated the VD in Superficial Capillary Plexus (SCP), Deep Capillary Plexus (DCP), Radial Peripapillary Capillary (RPC) and the Foveal Avascular Zone (FAZ) area in a series of fourteen patients (7 males, 7 females, mean age 56 ± 13 years), as compared to healthy controls. We also detected the structural Spectral Domain (SD)-OCT parameters: Ganglion Cell Complex (GCC), Retinal Nerve Fiber Layer (RNFL), visual field parameters (Mean Deviation, Pattern Standard Deviation) and Best Corrected Visual Acuity (BCVA). These measurements were performed prior than surgery and 48 hours after. Results The patients showed a significant decrease in VD of the macular and papillary regions, a significant increase in FAZ area, a significant impairment in SD-OCT, VF parameters and BCVA respect to 14 eyes of 14 healthy controls (p<0.05), at pre-op evaluation. In patients group the VD in SCP, DCP and RPC increased after surgery respect to baseline but the difference turned to be out statistically significant only in RPC (p = 0.003). Also the BCVA (p = 0.040) and the Mean Deviation at visual field (p = 0.015) significantly improved after surgery. While there was a reduction in structural OCT parameters but it was statistically significant only in GCC (p = 0.039). A positive correlation was found between the preoperative VD of the RPC, Mean Deviation, BCVA and the postoperative Mean Deviation (r = 0.426 p = 0.027; r = 0.624 p = 0.001; r = 0.515 p = 0.006). Conclusion OCT-A allows to detect the early changes occurring within 48 hours after surgery showing that the improvement in retinal vessel density could occur before the recovery of the structural OCT parameters and can be a positive predictive factor for the functional recovery.
Dystroglycan stabilization of basement membranes regulates development of the visual system

95 Introduction 95 Materials and Methods 97 Results and Discussion 101 Summary and Conclusions 113 Acknowledgements 114 Figures 115 Conclusions and Future Directions 138 Cellular growth and maturation dynamics in the retina 140 The impact of axonal missorting on visual processing 142 Summary: Dystroglycan in the developing visual system 147 References 149
Exploring Listeners' Speech Rate Preferences

Fast speech may reduce intelligibility, but there is little agreement as to whether listeners benefit from slower speech in noisy conditions. The current study explored the relationship between speech rate and masker properties using a listening preference technique in which participants were able to control speech rate in real time. Spanish listeners adjusted speech rate while listening to word sequences in quiet, in stationary noise at signalto-noise ratios of 0, +6 and +12 dB, and in modulated noise for 5 envelope modulation rates. Following selection of a preferred rate, participants went on to identify words presented at that rate. Listeners favoured faster speech in quiet, chose increasingly slower rates in increasing levels of stationary noise, and showed a preference for speech rates that led to a contrast with masker envelope modulation rates. Participants showed distinct preferences even when intelligibility was near ceiling levels. These outcomes suggest that individuals attempt to compensate for the decrement in cognitive resources availability in more adverse conditions by reducing speech rate and are able to exploit differences in modulation properties of the target speech and masker. The listening preference approach provides insights into factors such as listening effort that are not measured in intelligibility-based metrics.
Raw Sign and Magnitude Spectra for Multi-Head Acoustic Modelling

In this paper we investigate the usefulness of the sign spectrum and its combination with the raw magnitude spectrum in acoustic modelling for automatic speech recognition (ASR). The sign spectrum is a sequence of ± 1 s, capturing one bit of the phase spectrum. It encodes information overlooked by the magnitude spectrum enabling unique signal characterisation and reconstruction. In particular, we demonstrate it carries information related to the temporal structure of the signal as well as the speech’s source component. Furthermore, we investigate the usefulness of combining it with the raw magnitude spectrum via multi-head CNNs at different fusion levels for ASR. While information-wise these two streams of information are together equivalent to the raw waveform signal the overall performance is noticeably higher than raw waveform and classic features such as MFCC and ﬁlterbank. This has been observed and veriﬁed in TIMIT, NTIMT, Aurora-4 and WSJ tasks and up to 14.5% relative WER reduction has been achieved.