Miracle-dz/UniFAR-FTUs huggingface dataset:
The many disguises of the signalling endosome

Neurons are highly complex and polarised cells that must overcome a series of logistic challenges to maintain homeostasis across their morphological domains. A very clear example is the propagation of neurotrophic signalling from distal axons, where target‐released neurotrophins bind to their receptors and initiate signalling, towards the cell body, where nuclear and cytosolic responses are integrated. The mechanisms of propagation of neurotrophic signalling have been extensively studied and, eventually, the model of a ‘signalling endosome’, transporting activated receptors and associated complexes, has emerged. Nevertheless, the exact nature of this organelle remains elusive. In this Review, we examine the evidence for the retrograde transport of neurotrophins and their receptors in endosomes, outline some of their diverse physiological and pathological roles, and discuss the main interactors, morphological features and trafficking destinations of a highly flexible endosomal signalling organelle with multiple molecular signatures.
Reproductive health, social life and plans for the future of adolescents growing-up with HIV: a case-control study in Thailand

ABSTRACT Most perinatally HIV-infected children receiving antiretroviral treatment now survive into adolescence. This is a period when young people experience puberty, shape their sexual identity and initiate their own social life. The aim of our analysis was to compare aspects of the sexual and reproductive health, social life and plans for the future of perinatally HIV-infected adolescents (PHIVAs) with a control group from the general population. We used data from the Teens Living with Antiretrovirals (TEEWA) survey carried out from 2010 to 2012 in Thailand among PHIVAs aged 12–19 years. Adolescents completed a self-administered questionnaire focusing on their daily life. Each PHIVA (case) was matched on sex, age and place of residence with a randomly selected adolescent from the general population (control). Analysis was stratified by gender and age; McNemar’s test was used to compare cases and controls. A total of 1142 adolescents (571 cases and 571 controls) were included in the analysis, 42% boys and 58% girls. Cases experienced puberty delay compared to controls (p < 0.01). Cases and controls did not differ in terms of sex education, sexual initiation, romantic relationships or friendships, and risky behaviours. However, PHIVAs were less likely to attend the education system (p < 0.01), to plan for marriage (p < 0.01) or parenthood (p < 0.01). PHIVAs do not differ substantially from controls in terms of sexual and social life. Yet, affirmative action policies could help counterbalance their educational handicap. Provision of psychosocial support could enhance their ability to make informed decisions with regards to family formation.
Malignant peripheral nerve sheath tumor originating from the adrenal gland in a dog

A large abdominal mass was found in a dog. Histopathologically, the surface of the mass was covered with compressed adrenal gland tissue. The neoplastic cells showed typical features of malignant peripheral nerve sheath tumor (MPNST), including Antoni type A and type B pattern, and nuclear palisading. Immunohistochemically, these cells were positive for S100 protein, nerve growth factor receptor, nestin and claudin-1. The dog was euthanized because of the developing multiple metastatic lesions. The metastatic cells showed quite similar histopathological and immunohistochemical features as those in the original tumor. Although MPNST can develop at many body sites, this is the first report of MPNST originating from the adrenal gland in a dog.
AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale

AISHELL-1 is by far the largest open-source speech corpus available for Mandarin speech recognition research. It was released with a baseline system containing solid training and testing pipelines for Mandarin ASR. In AISHELL-2, 1000 hours of clean read-speech data from iOS is published, which is free for academic usage. On top of AISHELL-2 corpus, an improved recipe is developed and released, containing key components for industrial applications, such as Chinese word segmentation, flexible vocabulary expension and phone set transformation etc. Pipelines support various state-of-the-art techniques, such as time-delayed neural networks and Lattic-Free MMI objective funciton. In addition, we also release dev and test data from other channels(Android and Mic). For research community, we hope that AISHELL-2 corpus can be a solid resource for topics like transfer learning and robust ASR. For industry, we hope AISHELL-2 recipe can be a helpful reference for building meaningful industrial systems and products.
Designing safer analgesics: a focus on μ-opioid receptor pathways

ABSTRACT Introduction: The recent dramatic increase in intentional and unintentional deaths attributed to opioids has refocused attention on the therapeutic ratio (risk–benefit ratio) of opioid analgesics. Almost all traditional opioid analgesics produce their effects (therapeutic and adverse) via the activation of μ-opioid receptor (MOR) pathways. It is therefore important to examine the question of whether this natural endogenous pathway can still be activated, but with greater safety. Areas covered: Other comprehensive reviews have focused on pharmacokinetic (e.g. peripheral restriction) and pharmacodynamic (e.g. functional selectivity, biased ligand) approaches. Herein, the authors focus on a different approach, specifically, multi-mechanistic ‘atypical opioids’ that synergistically combines MOR activation plus one or more non-opioid mechanism of analgesic action. Expert opinion: Four ‘atypical opioid’ analgesics on the market act as μ-opioid receptor pathway agonists but have a non-opioid mechanism of action that significantly contributes to the analgesic effect. The multi-mechanistic action of these products confers particular clinical utility in that they provide effective analgesia with relatively lower opioid load, and they are generally associated with fewer or less severe opioid-related adverse effects and less abuse compared to traditional opioid analgesics.
Reorientation dynamics and structural interdependencies of actin, microtubules and intermediate filaments upon cyclic stretch application

Any cell within a tissue is constantly confronted with a variety of mechanical stimuli. Sensing of these diverse stimuli plays an important role in cellular regulation. Besides shear stress, cells of the vascular endothelium are particularly exposed to a permanent cyclic straining originating from the interplay of outwards pushing blood pressure and inwards acting contraction by smooth musculature. Perpendicular alignment of cells as structural adaptation to this condition is a basic prerequisite in order to withstand deformation forces.
Stochastic noise model for intra-body terahertz nanoscale communication

The development of miniature plasmonic signal sources, antennas and detectors are paving the way towards advanced healthcare networks, namely, in-vivo Wireless Nanosensor Networks (iWNSNs). These networks are expected to enable a plethora of applications ranging from intra-body health-monitoring to drug-delivery systems. The state of the art of nanoelectronics, nanopho-tonics, and nanoplasmonics points to the Terahertz (THz) band (0.1-10 THz) as the frequency range for communication among nano-biosensors. Several propagation models have been recently developed to study and assess the feasibility of intra-body electromagnetic (EM) nanoscale communication. These works have been mainly focused on understanding the propagation of EM signals through biological media, but do not present extensive formulation which quantify the noise contributions in the intra-body channel. In this paper, a stochastic noise model for iWNSNs is presented upon analyzing the individual noise constituents that affect intra-body systems operating in the THz frequency band. The identified noise sources include Johnson-Nyquist noise, Black-body noise as well as Doppler-shift-induced noise. The probability distribution of each noise component is derived and a comprehensive noise framework is established which allows the total noise power-spectral density of the iWNSN in the THz frequency band to be computed. The proposed analytical model is fundamental as noise is an important metric which affects both the intra-body channel capacity and data rate in the THz band.
Mycorrhizae and Rhizobacteria on Precambrian Rocky Gold Mine Tailings: I. Mine-Adapted Symbionts Promote White Spruce Health and Growth

White spruce [Picea glauca (Moench) Voss] is a commercially valuable boreal tree that has been known for its ability to colonize deglaciated rock tailings. Over the last decade, there has been an increasing interest in using this species for the revegetation and successful restoration of abandoned mine spoils. Herein, we conducted a glasshouse experiment to screen mycorrhizal fungi and rhizobacteria capable of improving the health and growth of white spruce seedlings growing directly on waste rocks (WRs) or fine tailings (FTs) from the Sigma-Lamaque gold mine located in the Canadian Abitibi region. After 32 weeks, measurements of health, growth, and mycorrhizal colonization variables of seedlings were performed. Overall, symbionts isolated from roots of healthy white spruce seedlings growing on the mining site, especially Cadophora finlandia Cad. fin. MBN0213 GenBank No. KC840625 and Pseudomonas putida MBN0213 GenBank No. AY391278, were more efficient in enhancing seedling health and growth than allochthonous species and constitute promising microbial symbionts. In general, mycorrhizae promoted plant health and belowground development, while rhizobacteria enhanced aboveground plant biomass. The observed beneficial effects were substrate-, strain-, and/or strains combination-specific. Therefore, preliminary experiments in control conditions such as the one described here can be part of an efficient and integrated strategy to select ecologically well-adapted symbiotic microorganisms, critical for the success of a long-term revegetation program.
Noninfectious Inflammatory Response following Intravitreal Bevacizumab Injections: Description of a Cluster of Cases in Two Centers and a Review of the Literature

Purpose: To report a cluster of high incidence of noninfectious inflammatory reaction shortly after bevacizumab injection. Methods: Data were collected from medical records of consecutive patients who underwent bevacizumab injections and presented with acute uveitis within 1–4 days. Results: All 7 patients were injected intravitreally with bevacizumab from different batches and presented with visual deterioration. One patient with anterior uveitis complained of pain. None had hypopyon. Three patients with vitritis underwent a vitreous tap with an intravitreal injection of vancomycin and ceftazidime for possible infectious endophthalmitis. All patients received intensive topical antibiotic drops and steroids, and the intraocular inflammation resolved completely within 1 month. Five patients continued to receive bevacizumab injections without recurrent episodes. Conclusions: Our series demonstrates an incidence of noninfectious inflammatory reaction shortly after bevacizumab injection that is higher than that reported in the literature. The cause is more likely the preparation process in the same compounding pharmacy.
Effects of dietary coated-oleum cinnamomi supplementation on the immunity and intestinal integrity of broiler chickens.

Oleum cinnamomi (OCM) is increasingly used as a feed additive in animal diets. The aim of this study was to investigate the effects of dietary supplementation with coated-OCM (cOCM) on the immunity and intestinal integrity of broiler chickens. A total of 396 one-day-old chicks were randomly assigned into six groups. The basal diets were supplemented with 50 mg/kg of flavomycin (positive control) as well as 0 (control), 50, 100, 200, and 300 mg/kg of cOCM. Compared with the control, both positive control and cOCM treatments did not improve the growth performance. Serum immunoglobulin (Ig) Y levels were decreased by flavomycin and 50 mg/kg of cOCM treatments (p < 0.05). Dietary cOCM decreased ileal secretory IgA contents at d 21 and commonly down-regulated duodenal and ileal mRNA expression of interleukin (IL)-1β and IL-8 at d 42 (p < 0.05). The 300 mg/kg of cOCM increased jejunal ratio of villus height to crypt depth and upregulated intestinal claudin-1 expression (p < 0.05). Jejunal (at d 21) and duodenal (at d 42) mucin-2 expression was up and downregulated by both 50 and 300 mg/kg of cOCM, respectively (p < 0.05). In conclusion, dietary cOCM addition helped to maintain noninflammatory states of humoral and mucosal immunity, and improved the intestinal integrity of broiler chickens.
Mature teratoma of the pineal region in the paediatric age group: A case report and review of the literature.

INTRODUCTION Intracranial teratomas account for 0.5% of all intracranial tumours and 2-4% of intracranial tumours in children. However, in terms of tumours of the pineal area, the exact incidence is not ascertained. Although, it is noted that 50-60% of central nervous system (CNS) germ cell tumours are found in the pineal gland. The degree of difficulty in the sampling of lesions in the pineal gland during biopsy emphasizes the importance of correlating the imaging studies, histopathologic findings, and serum and cerebrospinal fluid (CSF) tumour markers. CASE REPORT This case report is that of a 9-year-old male who presented with frontal headache of eight days, with associated photophobia, nausea and vomiting, and diplopia. Biopsy with intraoperative navigation was done and the specimen was referred for histopathologic evaluation. The biopsy showed findings consistent with a mature teratoma with no histologic findings of an immature component or secondary somatic malignancy. Comparison of the pre-operative and post-operative multiaxial cranial CT scan showed findings that was consistent with a residual lesion. This was correlated with the pre-operative serum tumour markers which showed alpha-fetoprotein of 22.5 ng/mL and beta-HCG of 1.0 mIU/mL(IU/L), and the post-operative tumour markers of the cerebrospinal fluid that showed alpha-fetoprotein of 3.28 ng/mL and beta-HCG of 18.9 mIU/mL (IU/L). CONCLUSION A review of the literature and comparison with current case in relation to the histopathologic, serum and CSF findings, and imaging studies was done to better understand the mechanism of this lesion.
How agents see things: On visual representations in an emergent language game

There is growing interest in the language developed by agents interacting in emergent-communication settings. Earlier studies have focused on the agents’ symbol usage, rather than on their representation of visual input. In this paper, we consider the referential games of Lazaridou et al. (2017), and investigate the representations the agents develop during their evolving interaction. We find that the agents establish successful communication by inducing visual representations that almost perfectly align with each other, but, surprisingly, do not capture the conceptual properties of the objects depicted in the input images. We conclude that, if we care about developing language-like communication systems, we must pay more attention to the visual semantics agents associate to the symbols they use.
A Multi-Layer Gaussian Process for Motor Symptom Estimation in People With Parkinson's Disease

The assessment of Parkinson's disease (PD) poses a significant challenge, as it is influenced by various factors that lead to a complex and fluctuating symptom manifestation. Thus, a frequent and objective PD assessment is highly valuable for effective health management of people with Parkinson's disease (PwP). Here, we propose a method for monitoring PwP by stochastically modeling the relationships between wrist movements during unscripted daily activities and corresponding annotations about clinical displays of movement abnormalities. We approach the estimation of PD motor signs by independently modeling and hierarchically stacking Gaussian process models for three classes of commonly observed movement abnormalities in PwP including tremor, (non-tremulous) bradykinesia, and (non-tremulous) dyskinesia. We use clinically adopted severity measures as annotations for training the models, thus allowing our multi-layer Gaussian process prediction models to estimate not only their presence but also their severities. The experimental validation of our approach demonstrates strong agreement of the model predictions with these PD annotations. Our results show that the proposed method produces promising results in objective monitoring of movement abnormalities of PD in the presence of arbitrary and unknown voluntary motions, and makes an important step toward continuous monitoring of PD in the home environment.
Improving Impact-Based Seasonal Outlooks for South-Central Texas

“Is this an above normal year? ” Forecasters and broadcast meteorologists get questions like this on a regular basis. Although for different reasons, the answer to that question may be useful to both meteorologists and members of the public, but how does one truly answer it? Currently, the meaning of “above normal” generally lies in terms of subjective perceptions based on experiences as opposed to objective measures (temperature and precipitation being two notable exceptions). As impact-based decision support services (IDSS) for weather and climate continue to expand in the National Weather Service (NWS), one question arises immediately: “Can we accurately quantify impacts at seasonal and sub-seasonal timescales, especially for extreme weather? ”
Interpersonal Synchronization, Motor Coordination, and Control Are Impaired During a Dynamic Imitation Task in Children With Autism Spectrum Disorder

Background: Impairments in imitation abilities have been commonly described in children with autism spectrum disorder (ASD). How motricity in interpersonal coordination impacts imitation, during long lasting semi-ecological conditions, has not been carefully investigated. Methods: Eighty-five children and adolescents (39 controls with typical development, TD; 29 patients with ASD; 17 patients with developmental coordination disorder, DCD), aged 6 to 20 years, participated to a behavioral paradigm in which participants, standing and moving, interacted with a virtual tightrope walker standing and moving as well. During the protocol, we measured automatically and continuously bodily postures and movements from RGB sensor recording to assess participants' behavioral imitation. Results: We show that (1) interpersonal synchronization (as evidenced by the synchrony between the participant's and the tightrope walker's bars) and (2) motor coordination (as evidenced by the synchrony between the participant's bar and its own head axis) increased with age and were more impaired in patients with ASD. Also, motor control as evidenced by the movement angle standard deviations of participants' bar and head were significantly impaired in ASD compared to TD or DCD. Conclusion: Interpersonal synchronization and motor coordination during ecological interaction show both subtle impairment in children with ASD as compared to children with TD or DCD. These results questioned how motricity mature in terms of motor control and proprioception in children with ASD.
Total Recall: Understanding Traffic Signs using Deep Hierarchical Convolutional Neural Networks

Recognizing Traffic Signs using intelligent systems can drastically reduce the number of accidents happening world-wide. With the arrival of Self-driving cars it has become a staple challenge to solve the automatic recognition of Traffic and Hand-held signs in the major streets. Various machine learning techniques like Random Forest, SVM as well as deep learning models has been proposed for classifying traffic signs. Though they reach state-of-the-art performance on a particular data-set, but fall short of tackling multiple Traffic Sign Recognition benchmarks. In this paper, we propose a novel and one-for-all architecture that aces multiple benchmarks with better overall score than the state-of-the-art architectures. Our model is made of residual convolutional blocks with hierarchical dilated skip connections joined in steps. With this we score 99.33% Accuracy in German sign recognition benchmark and 99.17% Accuracy in Belgian traffic sign classification benchmark. Moreover, we propose a newly devised dilated residual learning representation technique which is very low in both memory and computational complexity.
Leptospirosis in pregnancy: A lesson in subtlety.

INTRODUCTION Leptospirosis is a zoonotic disease caused by spirochaete of the genus Leptospira. Human infection occurs after exposure to water or soil contaminated by urine from an infected animal. Most patients manifest as self-limited systemic illness. However 10% of patients manifest as severe disease associated with high fatality. The disease affects mostly men, cases involving pregnant women are uncommon. We presented a case of leptospirosis in a pregnant woman leading to mortality of both mother and foetus. CASE REPORT A 28-year-old woman at 18 weeks of gestation, had shortness of breath and collapsed. She was brought unconscious to the emergency department and died shortly after arrival. A week prior to this, she had presented to the same hospital with pain on both thighs. Examination of the patient and ultrasound of the foetus revealed normal findings. Post mortem examination revealed hepatosplenomegaly and congested lungs; no jaundice, meningeal inflammation or cardiac abnormalities was evident. Histopathology examination of the lungs revealed pulmonary haemorrhages and oedema. Multiple infarcts were seen in the spleen and the kidneys showed foci of acute tubular necrosis. Laboratory investigations revealed Leptospira IgM antibody and PCR for leptospira were positive. This case illustrates the subtleness of clinical presentation of leptospirosis. The diagnosis was obscure even at post-mortem and was only suspected following histopathological examination, leading to further investigations. CONCLUSION Leptospirosis may have a subtle presentation and a high index of suspicion for this infection is required for early identification of the disease.
Tidal-diel patterns in feeding and abundance of armed snook Centropomus armatus from macrotidal mangrove creeks of the tropical eastern Pacific Ocean.

We investigated the influence of temporal and spatial factors on the feeding habits of the armed snook Centropomus armatus (Centropomidae), the most abundant snook species in eastern Pacific mangrove ecosystems. The influence of the combination of semi-diurnal tides and diel cycles and salinity on the intertidal abundance, stomach fullness, diet composition and daily consumption of this species was investigated over 1 year in the macrotidal Colombian Pacific coast (Bahía Málaga). The abundance of juvenile C. armatus (5.6-23.6 cm total length) in the intertidal creeks was highest during neap tide-night conditions and lowest during spring-tide day conditions. Centropomus armatus fed predominantly on crustaceans (Alpheidae and Palaemonidae) and fishes. Stomach fullness index (ISF ), a proxy of feeding activity, was not influenced by salinity, but by tidal-diel conditions. Stomach fullness index was highest during neap tide nocturnal inundations, but lowest during diurnal neap tides. Nevertheless, the total daily consumption was higher at spring tide than at neap tides. Higher water temperatures in creeks during neap tides at night could explain not only high C. armatus abundance, but also greater accessibility to active prey. Comparison with the feeding patterns of fishes from other macrotidal mangrove ecosystems suggest that the habitat use and feeding patterns of intertidal fishes in mangroves are strongly influenced by the combination of spring-neap tide and diel cycles. However, the interaction between mangrove geomorphology and flooding regime of the specific mangrove forest might also play a role and deserves further investigation.