Miracle-dz/UniFAR-FTUs huggingface dataset:
Matrix Completion with Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference

Inferring air quality from a limited number of observations is an essential task for monitoring and controlling air pollution. Existing inference methods typically use low spatial resolution data collected by fixed monitoring stations and infer the concentration of air pollutants using additional types of data, e.g., meteorological and traffic information. In this work, we focus on street-level air quality inference by utilizing data collected by mobile stations. We formulate air quality inference in this setting as a graph-based matrix completion problem and propose a novel variational model based on graph convolutional autoencoders. Our model captures effectively the spatio-temporal correlation of the measurements and does not depend on the availability of additional information apart from the street-network topology. Experiments on a real air quality dataset, collected with mobile stations, shows that the proposed model outperforms state-of-the-art approaches.
Antagonist of cIAP1/2 and XIAP enhances anti-tumor immunity when combined with radiation and PD-1 blockade in a syngeneic model of head and neck cancer

ABSTRACT Head and neck squamous cell carcinomas (HNSCCs) frequently harbor genomic mutations in cell death pathways. Nearly 30% of HNSCCs overexpress Fas-Associated Death Domain (FADD), with or without BIRC2/3 genes encoding cellular Inhibitor of Apoptosis Proteins 1/2 (cIAP1/2), critical components of the Tumor Necrosis Factor (TNF) Receptor signaling pathways. ASTX660 is a novel non-peptidomimetic antagonist of cIAP1/2 and XIAP under evaluation in a clinical trial for advanced solid tumors and lymphomas. Herein, we show that ASTX660, at nanomolar concentrations, sensitized Murine Oral Cancer (MOC1) cells to TNFα. Using syngeneic mouse models, ASTX660 showed additive anti-tumor activity with radiation therapy (XRT), cisplatin chemotherapy, and PD-1 blockade to significantly delay or eradicate MOC1 tumors. These combinations significantly increased CD8 + T cells and dendritic cells, as well as T cell activity. ASTX660 stimulated cytotoxic T lymphocyte (CTL) killing of MOC1 cells expressing ovalbumin. Early stages of CTL killing were predominantly mediated by perforin/granzyme B, whereas later stages were mediated by death ligands TNFα, TRAIL, and FasL. Correspondingly, depletion of CD8 + T cells and NK cells in vivo revealed both types of immune cells to be important components of the complete anti-tumor response enhanced by ASTX660+XRT. These findings serve to inform future studies of IAP inhibitors and support the potential for future clinical trials investigating ASTX660 with XRT and immunotherapies like PD-1/PD-L1 blockade in HNSCC.
Phosphorus Efficiency Mechanisms of Two Wheat Cultivars as Affected by a Range of Phosphorus Levels in the Field

Phosphorus (P) efficiency includes both P acquisition efficiency (PAE) and internal P utilization efficiency (PUE). Despite substantial research, genotypic variation in PAE and PUE remains incompletely understood in the field. A 2-year field study was conducted to compare PAE and PUE and related morphological, physiological, and molecular root traits of two winter wheat cultivars (Triticum aestivum L. cv. SJZ8 and KN92) in response to six P application rates in a P-deficient calcareous soil. Both cultivars showed similar growth and yield potential at each P supply level, reaching optimal growth at the same P application rate of about 100 kg P ha-1. However, the two cultivars differed in how they achieved yield and P efficiency. As P supply increased for both cultivars, root dry weight (RDW), root length density, and expression of the phosphate transporter gene TaPHT1.2 in roots initially increased and then stabilized, but arbuscular mycorrhizal fungal colonization, rhizosphere acid phosphatase activity, expressions of the P-starvation marker gene TaIPS1.1 and the purple acid phosphatase gene TaPAP16 in roots initially decreased and then stabilized. To enhance P acquisition when the P supply was deficient, KN92 modified the morphology of its roots, while SJZ8 increased the physiological activities in its roots. With an adequate P supply, high expression of TaPHT1.2 in roots might account for efficient P uptake for both cultivars, especially for KN92. Although P uptake per RDW was similar for both cultivars at anthesis, PAE was higher for KN92 than SJZ8 in terms of total P uptake in aboveground parts, whereas shoot and grain PUE were higher in SJZ8 than in KN92, mainly during the reproductive growth stage. These results indicate that P efficiency is under genotypic control at all P supply levels tested in both wheat cultivars, and that the two cultivars depend on different root strategies for P acquisition and utilization in response to changes in the P supply.
Low Anterior Resection Syndrome and Quality of Life After Sphincter-Sparing Rectal Cancer Surgery: A Long-term Longitudinal Follow-up

BACKGROUND: Despite low anterior resection syndrome being a well-known consequence of sphincter-preserving rectal cancer surgery, the long-term effect on bowel function and quality of life is not fully understood. OBJECTIVE: This study aimed to elucidate whether symptoms of low anterior resection syndrome change over time and if the correlation to quality of life is equivalent when measured at 2 time points. DESIGN: This prospective cohort study included measurements at 2 time points (5 years between; range, 7.1–16.1 years from surgery to second follow-up). SETTINGS: This multicenter study included patients from Sweden and Denmark. PATIENTS: Patients were included if they were ≥18 years of age and underwent curative rectal cancer surgery with either total or partial mesorectal excision. MAIN OUTCOME MEASURES: Outcomes were measured with the low anterior resection syndrome questionnaire including a question assessing the impact of bowel function on quality of life and with the validated quality-of-life questionnaire EORTC QLQ-C30. RESULTS: In total, 282 patients were included and there were no statistically significant differences in the distribution among the 3 groups (no, minor, and major low anterior resection syndrome) when comparing time points follow-up 1 with follow-up 2 (p = 0.455). At follow-up 2, 138 patients (49%) still experienced major impairment. No both statistically and clinically significant differences were seen in the mean score of EORTC QLQ-C30 when comparing the same low anterior resection syndrome group at follow-up 1 and follow-up 2, and the impact on quality of life was comparable. Global health status/quality of life was impaired in the major low anterior resection syndrome group at both follow-up 1 (p < 0.001) and follow-up 2 (p < 0.001). LIMITATIONS: The study design prevents an evaluation of causality. CONCLUSIONS: Difficulties with low anterior resection syndrome and the impact on patients’ quality of life persist over time. See Video Abstract at http://links.lww. com/DCR/A762.
Accuracy of EUS and CEH EUS for the diagnosis of pancreatic tumours

Abstract Objectives: The main objective is to compare the accuracy of EUS and CEH EUS for the diagnosis of pancreatic cancer (PC). The secondary objective is to evaluate the accuracy of EUS FNA and to determine to what extent EUS and CEH EUS findings are affected by endosonographer subjectivity. Methods: A prospective single-centre study was conducted in patients with pancreatic lesions detected on CT. The patients were examined by EUS, CEH EUS and EUS FNA. The obtained results were compared with the final diagnosis that was based on cytology and further clinical findings and on histopathological findings from subjects who underwent surgery. A second reading of the EUS and CEH EUS images was performed by the endosonographer, who was blinded to clinical data of patients. Results: We examined 116 patients, 73 had a final diagnosis of PC, 14 had NETs and 20 had other tumours. The sensitivity, specificity, NPV, PPV, and accuracy of EUS for diagnosis of PC were 83.1, 62.5, 83.1, 70.7 and 78.6%, for CEH EUS 94.5, 61.7, 84.1, 84 and 84.1% and for EUS FNA 87.6, 91.2, 95.5, 77.5 and 88.8, respectively. The inter-observer agreement for EUS marker of PC was good (κ = 0.75), and that for CEH EUS was average (κ = 0.59 for arterial phase and κ = 0.68 for washout in venous phase). Conclusion: CEH EUS is a non-invasive method that allows more accurate identification of PC than EUS. The subjectivity of CEH EUS evaluation is worse than that of EUS but acceptable.
Adipose PD-L1 Modulates PD-1/PD-L1 Checkpoint Blockade Immunotherapy Efficacy in Breast Cancer

ABSTRACT Programmed death-ligand 1 (PD-L1) and its receptor programmed cell death protein 1 (PD-1) modulate antitumor immunity and are major targets of checkpoint blockade immunotherapy. However, clinical trials of anti-PD-L1 and anti-PD-1 antibodies in breast cancer demonstrate only modest efficacy. Furthermore, specific PD-L1 contributions in various tissue and cell compartments to antitumor immunity remain incompletely elucidated. Here we show that PD-L1 expression is markedly elevated in mature adipocytes versus preadipocytes. Adipocyte PD-L1 prevents anti-PD-L1 antibody from activating important antitumor functions of CD8+ T cells in vitro. Adipocyte PD-L1 ablation obliterates, whereas forced preadipocyte PD-L1 expression confers, these inhibitory effects. Pharmacologic inhibition of adipogenesis selectively reduces PD-L1 expression in mouse adipose tissue and enhances the antitumor efficacy of anti-PD-L1 or anti-PD-1 antibodies in syngeneic mammary tumor models. Our findings provide a previously unappreciated approach to bolster anticancer immunotherapy efficacy and suggest a mechanism for the role of adipose tissue in breast cancer progression.
Going Grey: Exploring the Potential of Electrophoretic Displays

Electrophoretic devices, also known as Electronic Paper (E-paper), are gaining popularity due to their merits including low-energy consumption, flexible form factors as well as their non-glowing nature. These advantages are making E-paper an interesting alternative to conventional glowing LCD displays, which are generally believed to have negative impact on users' physiological and psychological well-being. Existing research on E-paper devices focuses on evaluating readability, usability and user-acceptance. However, there is little research on applying E-paper devices in scenarios other than reading. In this research, we aim to bridge this gap by investigating the potential of using E-paper devices in input-heavy applications scenarios that are realistic for both office work and school education, in pursuit of high efficiency, better usability and a healthier life style.
Warfarin and the Risk of Death, Stroke, and Major Bleeding in Patients With Atrial Fibrillation Receiving Hemodialysis: A Systematic Review and Meta-Analysis

Background: Up to date, the efficacy and safety of warfarin treatment in atrial fibrillation patients receiving hemodialysis remain controversial. So we performed this meta-analysis to try to offer recommendations regarding warfarin management in this population. Methods: We searched Pubmed, Embase, and Cochrane library and reviewed relevant reference lists from 1980 to March 2018. Studies were included if they described the risks of mortality, stroke, and bleeding events with or without warfarin in atrial fibrillation patients receiving hemodialysis. Results: Overall, the use of warfarin was not associated with mortality (OR = 0.95, 95%CI = 0.89–1.02), stroke (OR = 1.06, 95% CI = 0.87–1.30) and ischemic stroke (OR = 0.85, 95% CI = 0.68–1.05), but its use could increase the risks of hemorrhagic stroke (OR = 1.34, 95% CI = 1.13–1.59) and major bleeding (OR = 1.24, 95% CI = 1.14, 1.35). In subgroup analyses, when analyses were mainly restricted to atrial fibrillation patients who were undergoing hemodialysis and taking other anticoagulation agents, warfarin therapy didn't reduce the risks for mortality (OR = 0.98, 95% CI = 0.68–1.42) and ischemic stroke (OR = 1.03, 95% CI = 0.89–1.19), but significantly increased the risks of stroke (OR:1.14, 95% CI = 1.01–1.29) and bleeding events such as hemorrhagic stroke (OR = 1.42, 95% CI = 1.14–1.77) and major bleeding (OR = 1.24, 95% CI = 1.14–1.35). While in patients who didn't take other anticoagulation agents or aspirin, warfarin use was not associated with all-cause mortality (OR = 0.90, 95% CI = 0.78–1.04), or any stroke (OR = 1.00, 95% CI = 0.71–1.40). Its use was associated with significantly decreased risk of ischemic stroke (OR = 0.71, 95% CI = 0.60–0.85), but not associated with hemorrhagic stroke (OR = 1.45, 95% CI = 0.83–2.55). Besides, another subgroup analysis showed that warfarin therapy didn't exert a protective role in patients with normal serum lipid levels (OR = 1.04, 95% CI = 0.85–1.26), but seemed to decrease the risk of ischemic stroke in patients with hyperlipidemia (OR = 0.38, 95% CI = 0.11–1.29). Conclusion: Our results suggested that it was necessary to prescribe warfarin for the prevention of ischemic events in hemodialysis patients with atrial fibrillation, but if these patients were already prescribed with other anticoagulants for the treatment of other co-existing diseases, then warfarin was not recommended.
Closed-Loop GAN for continual Learning

Sequential learning of tasks using gradient descent leads to an unremitting decline in the accuracy of tasks for which training data is no longer available, termed catastrophic forgetting. Generative models have been explored as a means to approximate the distribution of old tasks and bypass storage of real data. Here we propose a cumulative closed-loop generator and embedded classifier using an AC-GAN architecture provided with external regularization by a small buffer. We evaluate incremental learning using a notoriously hard paradigm, single headed learning, in which each task is a disjoint subset of classes in the overall dataset, and performance is evaluated on all previous classes. First, we show that the variability contained in a small percentage of a dataset (memory buffer) accounts for a significant portion of the reported accuracy, both in multi-task and continual learning settings. Second, we show that using a generator to continuously output new images while training provides an up-sampling of the buffer, which prevents catastrophic forgetting and yields superior performance when compared to a fixed buffer. We achieve an average accuracy for all classes of 92.26% in MNIST and 76.15% in FASHION-MNIST after 5 tasks using GAN sampling with a buffer of only 0.17% of the entire dataset size. We compare to a network with regularization (EWC) which shows a deteriorated average performance of 29.19% (MNIST) and 26.5% (FASHION). The baseline of no regularization (plain gradient descent) performs at 99.84% (MNIST) and 99.79% (FASHION) for the last task, but below 3% for all previous tasks. Our method has very low long-term memory cost, the buffer, as well as negligible intermediate memory storage.
ConvS2S-VC: Fully convolutional sequence-to-sequence voice conversion

This paper proposes a voice conversion method based on fully convolutional sequence-to-sequence (seq2seq) learning. The present method, which we call "ConvS2S-VC", learns the mapping between source and target speech feature sequences using a fully convolutional seq2seq model with an attention mechanism. Owing to the nature of seq2seq learning, our method is particularly noteworthy in that it allows the flexible conversion of not only the voice characteristics but also the pitch contour and duration of the input speech. The current model consists of six networks, namely source and target encoders, a target decoder, source and target reconstructors and a postnet, which are designed using dilated causal convolution networks with gated linear units. Subjective evaluation experiments revealed that the proposed method obtained higher sound quality and speaker similarity than a baseline method.
Augmenting Neural Response Generation with Context-Aware Topical Attention

Sequence-to-Sequence (Seq2Seq) models have witnessed a notable success in generating natural conversational exchanges. Notwithstanding the syntactically well-formed responses generated by these neural network models, they are prone to be acontextual, short and generic. In this work, we introduce a Topical Hierarchical Recurrent Encoder Decoder (THRED), a novel, fully data-driven, multi-turn response generation system intended to produce contextual and topic-aware responses. Our model is built upon the basic Seq2Seq model by augmenting it with a hierarchical joint attention mechanism that incorporates topical concepts and previous interactions into the response generation. To train our model, we provide a clean and high-quality conversational dataset mined from Reddit comments. We evaluate THRED on two novel automated metrics, dubbed Semantic Similarity and Response Echo Index, as well as with human evaluation. Our experiments demonstrate that the proposed model is able to generate more diverse and contextually relevant responses compared to the strong baselines.
SLAMBooster: An Application-aware Controller for Approximation in SLAM

Simultaneous Localization and Mapping (SLAM) is the problem of constructing a map of a mobile agent's environment while localizing the agent within the map. Dense SLAM algorithms perform reconstruction and localization at pixel granularity. These algorithms require a lot of computational power, which has hindered their use on low-power resource-constrained devices. Approximate computing can be used to speed up SLAM implementations as long as the approximations do not prevent the agent from navigating correctly through the environment. Previous studies of approximation in SLAM have assumed that the entire trajectory of the agent is known before the agent starts, and they have focused on offline controllers that set approximation knobs at the start of the trajectory. In practice, the trajectory is not known ahead of time, and allowing knob settings to change dynamically opens up more opportunities for reducing computation time and energy. We describe SLAMBooster, an application-aware, online control system for dense SLAM that adaptively controls approximation knobs during the motion of the agent. SLAMBooster is based on a control technique called proportional-integral-derivative (PID) controller but our experiments showed this application-agnostic controller led to an unacceptable reduction in localization accuracy. To address this problem, SLAMBooster also exploits domain knowledge for controlling approximation by performing smooth surface detection and pose correction. We implemented SLAMBooster in the open-source SLAMBench framework and evaluated it on several trajectories. Our experiments show that on the average, SLAMBooster reduces the computation time by 72% and energy consumption by 35% on an embedded platform, while maintaining the accuracy of localization within reasonable bounds. These improvements make it feasible to deploy SLAM on a wider range of devices.
Human toxoplasmosis: a systematic review for genetic diversity of Toxoplasma gondii in clinical samples

Abstract Toxoplasma gondii (T. gondii) as an obligate intracellular protozoan with a worldwide distribution can infect virtually all warm-blooded animals and humans. This study aims to provide a summary of the available data on genotypes of T. gondii in human. Five databases including MEDLINE in PubMed, Scopus, Science Direct, Web of Science and Google Scholar were searched for the T. gondii genotyping in human during 1995–August 2017. Next, we screened all the articles based on the inclusion and exclusion criteria. Overall, 26 studies were eligible regarding genotyping T. gondii in human samples. In clonal genotyping, 167 out of 286 cases (58%) were infected with type II. Genetic characterisation of T. gondii isolates displayed that type II was the most predominant genotype in human with the prevalence of 64.3%, 62.1% and 41.7% in patients with AIDS, congenital and ocular toxoplasmosis, respectively. In ToxoDB genotyping, most individuals were infected with genotypes #9 and #65 (21.2%). Based on these results, genotype profile of T. gondii isolates is different throughout the world. The strains in Asian and African countries are characterised by low genetic diversity, while in North and South America a wide diversity of this parasite is found. In countries without any data (e.g. Australia, Western and Southern Africa and Western Asia), identification of T. gondii genotypes might discover higher genetic diversity.
Syncope Detection in Toilet Environments Using Wi-Fi Channel State Information

Syncope and strokes in toilets can lead to severe injuries, and even pose life threats to patients. However, owing to privacy concerns, vision-based fall detection cannot be applied in such a scenario. In this poster, we propose ToiFall, a prototype for syncope detection in toilet environments. ToiFall collects Channel State Information (CSI) of commodity Wi-Fi devices. Different human movements form various textures on CSI images, and such textures can be used for feature extraction and classification. Experimental results show an accuracy of over 98% for fall detection with satisfying reliability.
Binding of Pheophorbide-a methyl ester to nucleic acids of different secondary structures: A spectroscopic study

Binding of neutral Pheophorbide-a methyl ester (MePheo-a) to various synthetic polynucleotides, double-stranded poly(A)-poly(U), poly(G)-poly(C) and four-stranded poly(G), as well as to calf thymus DNA, was studied using the methods of absorption and polarized fluorescent spectroscopy. Measurements were performed in aqueous bufferes solutions (pH 6.9) of low ionic strength (2 mM Na+) in a wide range of molar phosphate-to-dye ratios (P/D). Absorption and fluorescence characteristics of complexes formed between the dye and biopolymers were determined. Binding of MePheo-a to four-stranded poly(G) is shown to be accompanied by the most significant spectral transformations: hypochromism of dye absorption,large batochromic shift of Soret absorption band (~26 nm) and fluorescence band (~9 nm) maxima, 48-fold enhancement of the dye emission intensity. In contrast, its binding to the double-stranded polynucleotides and native DNA induces only small shifts of absorption and fluorescence bands, as well as no more than 4-fold rise of fluorescence intensity. Substantial spectral changes and high value of fluorescence polarization degree (0.26) observed upon binding of MePheo-a to quadruplex poly(G) allow us to suggest the intercalation of the dye chromophore between guanine tetrads. At the same time, small spectral changed and insignificant increase of MePheo-a fluorescence polarization degree (0.12) upon binding of the dye to double-stranded biopolymers point to another binding type. Incorporation of MePheo-a to a helix groove is supposed to occur, presumably in the dimeric form. Substantial enhancement of MePheo-a emission upon binding to four-stranded poly(G) allows us to propose this compouns as a new fluorescent probe G-quadruplex structures.