Miracle-dz/UniFAR-FTUs huggingface dataset:
Outcome and Complications following Vertical Rectus Abdominis Myocutaneous Flap Surgery to Reconstruct Sacrectomy Defects

Background: The vertical rectus abdominis myocutaneous flap has been used to reliably reconstruct posterior soft-tissue defects following resection of high sacral tumors, providing skin and soft-tissue bulk. Current literature examining the use of these flaps for high sacral reconstruction is limited. The purpose of this study was to report the authors’ institution's outcome on the use of the vertical rectus abdominis myocutaneous flap to reconstruct a high sacral defect following an oncologic resection. Methods: Eighty-seven patients (29 female and 58 male) underwent vertical rectus abdominis myocutaneous flap surgery to reconstruct a posterior wound following high sacral tumor resection from 1994 to 2016. The mean age and body mass index were 52 years and 27.8 kg/m2, respectively. The mean follow-up was 6 years. Results: Sixty-eight patients (79 percent) sustained a complication, most commonly a wound complication [n = 41 (47 percent)]. Twenty patients (23 percent) sustained a donor-site wound complication, most commonly a wound dehiscence (n = 10). Complications resulted in a reoperation in 44 patients (51 percent), with total flap failure occurring in one (1 percent). Preoperative radiotherapy and obesity were found to increase the risk of wound complications (p = 0.004 and p = 0.02, respectively) and deep infection (p = 0.03 and p = 0.02, respectively). Conclusions: Complications were common following vertical rectus abdominis myocutaneous flap surgery; however, total flap loss was not. Patients with obesity and preoperative radiotherapy should be cautioned on their increased risk of complications. Currently, the vertical rectus abdominis myocutaneous flap is the authors’ preferred means of soft-tissue reconstruction following high sacral tumor resection. CLINICAL QUESTION/LEVEL OF EVIDENCE: Therapeutic, IV.
Generating Reasonable and Diversified Story Ending Using Sequence to Sequence Model with Adversarial Training

Story generation is a challenging problem in artificial intelligence (AI) and has received a lot of interests in the natural language processing (NLP) community. Most previous work tried to solve this problem using Sequence to Sequence (Seq2Seq) model trained with Maximum Likelihood Estimation (MLE). However, the pure MLE training objective much limits the power of Seq2Seq model in generating high-quality storys. In this paper, we propose using adversarial training augmented Seq2Seq model to generate reasonable and diversified story endings given a story context. Our model includes a generator that defines the policy of generating a story ending, and a discriminator that labels story endings as human-generated or machine-generated. Carefully designed human and automatic evaluation metrics demonstrate that our adversarial training augmented Seq2Seq model can generate more reasonable and diversified story endings compared to purely MLE-trained Seq2Seq model. Moreover, our model achieves better performance on the task of Story Cloze Test with an accuracy of 62.6% compared with state-of-the-art baseline methods.
Enteroviruses and Adenoviruses in stool specimens of paralytic children- can they be the cause of paralysis?

Background and Objectives: Acute flaccid paralysis (AFP) is a complicated clinical syndrome with a wide range of potential etiologies. Several infectious agents including different virus families have been isolated from AFP cases. In most surveys, Non-polio Enteroviruses (NPEVs) have been detected as main infectious agents in AFP cases; however, there are also some reports about Adenovirus isolation in these patients. In this study, NPEVs and Adenoviruses in stool specimens of AFP cases with or without Residual Paralysis (RP) with negative results for poliovirus are investigated. Materials and Methods: Nucleic acid extractions from 55 AFP cases were examined by nested PCR or semi-nested PCR with specific primers to identify NPEVs or Adenoviruses, respectively. VP1 (for Enteroviruses) and hexon (for Adenoviruses) gene amplification products were sequenced and compared with available sequences in the GenBank. Results: From 55 fecal (37 RP+ and 18 RP−) specimens, 7 NPEVs (12.7%) (2 cases in RP+) and 7 Adenoviruses (12.7%) (4 cases in RP+) were identified. Echovirus types 3, 17 and 30, Coxsackie virus A8, and Enterovirus 80 were among NPEVs and Adenoviruses type 2 and 41 were also identified. Conclusion: Our finding shows that NPEVs and Adenoviruses may be isolated from the acute flaccid paralyses but there is no association between the residual paralyses and virus detection.
Highly Sensitive and Selective Colorimetric Detection of Methylmercury Based on DNA Functionalized Gold Nanoparticles

A new colorimetric detection of methylmercury (CH3Hg+) was developed, which was based on the surface deposition of Hg enhancing the catalytic activity of gold nanoparticles (AuNPs). The AuNPs were functionalized with a specific DNA strand (HT7) recognizing CH3Hg+, which was used to capture and separate CH3Hg+ by centrifugation. It was found that the CH3Hg+ reduction resulted in the deposition of Hg onto the surface of AuNPs. As a result, the catalytic activity of the AuNPs toward the chromogenic reaction of 3,3,5,5-tetramethylbenzidine (TMB)-H2O2 was remarkably enhanced. Under optimal conditions, a limit of detection of 5.0 nM was obtained for CH3Hg+ with a linear range of 10–200 nM. We demonstrated that the colorimetric method was fairly simple with a low cost and can be conveniently applied to CH3Hg+ detection in environmental samples.
New Ansamycins from the Deep-Sea-Derived Bacterium Ochrobactrum sp. OUCMDZ-2164

Two new ansamycins, trienomycins H (1) and I (2), together with the known trienomycinol (3), were isolated from the fermentation broth of the deep-sea-derived bacterium Ochrobactrum sp. OUCMDZ-2164. Their structures, including their absolute configurations, were elucidated based on spectroscopic analyses, ECD spectra, and Marfey’s method. Compound 1 exhibited cytotoxic effects on A549 and K562 cell lines with IC50 values of 15 and 23 μM, respectively.
High Diagnostic Uncertainty and Inaccuracy in Adult Emergency Department Patients With Dyspnea: A National Database Analysis.

Dyspnea is the second leading cause for visit among the twenty million annual US emergency department (ED) visits in patients aged ≥65 years old and is most commonly caused by pneumonia, acute exacerbations of chronic obstructive pulmonary disease (COPD), and heart failure in older adults.1,2 Despite its frequency and substantial associated morbidity and mortality,3 diagnosing the cause of dyspnea in an older adult poses substantial challenges to the emergency physician. This article is protected by copyright. All rights reserved.
An Analysis of Annotated Corpora for Emotion Classification in Text

Several datasets have been annotated and published for classification of emotions. They differ in several ways: (1) the use of different annotation schemata (e. g., discrete label sets, including joy, anger, fear, or sadness or continuous values including valence, or arousal), (2) the domain, and, (3) the file formats. This leads to several research gaps: supervised models often only use a limited set of available resources. Additionally, no previous work has compared emotion corpora in a systematic manner. We aim at contributing to this situation with a survey of the datasets, and aggregate them in a common file format with a common annotation schema. Based on this aggregation, we perform the first cross-corpus classification experiments in the spirit of future research enabled by this paper, in order to gain insight and a better understanding of differences of models inferred from the data. This work also simplifies the choice of the most appropriate resources for developing a model for a novel domain. One result from our analysis is that a subset of corpora is better classified with models trained on a different corpus. For none of the corpora, training on all data altogether is better than using a subselection of the resources. Our unified corpus is available at http://www.ims. uni-stuttgart.de/data/unifyemotion.
Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization

In this paper, we investigate the sentence summarization task that produces a summary from a source sentence. Neural sequence-to-sequence models have gained considerable success for this task, while most existing approaches only focus on improving the informativeness of the summary, which ignore the correctness, i.e., the summary should not contain unrelated information with respect to the source sentence. We argue that correctness is an essential requirement for summarization systems. Considering a correct summary is semantically entailed by the source sentence, we incorporate entailment knowledge into abstractive summarization models. We propose an entailment-aware encoder under multi-task framework (i.e., summarization generation and entailment recognition) and an entailment-aware decoder by entailment Reward Augmented Maximum Likelihood (RAML) training. Experiment results demonstrate that our models significantly outperform baselines from the aspects of informativeness and correctness.
Visual Question Answering Dataset for Bilingual Image Understanding: A Study of Cross-Lingual Transfer Using Attention Maps

Visual question answering (VQA) is a challenging task that requires a computer system to understand both a question and an image. While there is much research on VQA in English, there is a lack of datasets for other languages, and English annotation is not directly applicable in those languages. To deal with this, we have created a Japanese VQA dataset by using crowdsourced annotation with images from the Visual Genome dataset. This is the first such dataset in Japanese. As another contribution, we propose a cross-lingual method for making use of English annotation to improve a Japanese VQA system. The proposed method is based on a popular VQA method that uses an attention mechanism. We use attention maps generated from English questions to help improve the Japanese VQA task. The proposed method experimentally performed better than simply using a monolingual corpus, which demonstrates the effectiveness of using attention maps to transfer cross-lingual information.
Non-Black-Box Worst-Case to Average-Case Reductions within NP

There are significant obstacles to establishing an equivalence between the worst-case and average-case hardness of NP: Several results suggest that black-box worst-case to average-case reductions are not likely to be used for reducing any worst-case problem outside coNP to a distributional NP problem. This paper overcomes the barrier. We present the first non-black-box worst-case to average-case reduction from a problem outside coNP (unless Random 3SAT is easy for coNP algorithms) to a distributional NP problem. Specifically, we consider the minimum time-bounded Kolmogorov complexity problem (MINKT), and prove that there exists a zero-error randomized polynomial-time algorithm approximating the minimum time-bounded Kolmogorov complexity k within an additive error roughly √k if its average-case version admits an errorless heuristic polynomial-time algorithm. (The converse direction also holds under a plausible derandomization assumption.) We also show that, given a truth table of size 2^n, approximating the minimum circuit size within a factor of 2^(1-e) n is in BPP for some constant e > 0 if and only if its average-case version is easy. Based on our results, we propose a research program for excluding Heuristica, i.e., establishing an equivalence between the worst-case and average-case hardness of NP through the lens of MINKT or the Minimum Circuit Size Problem (MCSP).
LCQMC:A Large-scale Chinese Question Matching Corpus

The lack of large-scale question matching corpora greatly limits the development of matching methods in question answering (QA) system, especially for non-English languages. To ameliorate this situation, in this paper, we introduce a large-scale Chinese question matching corpus (named LCQMC), which is released to the public1. LCQMC is more general than paraphrase corpus as it focuses on intent matching rather than paraphrase. How to collect a large number of question pairs in variant linguistic forms, which may present the same intent, is the key point for such corpus construction. In this paper, we first use a search engine to collect large-scale question pairs related to high-frequency words from various domains, then filter irrelevant pairs by the Wasserstein distance, and finally recruit three annotators to manually check the left pairs. After this process, a question matching corpus that contains 260,068 question pairs is constructed. In order to verify the LCQMC corpus, we split it into three parts, i.e., a training set containing 238,766 question pairs, a development set with 8,802 question pairs, and a test set with 12,500 question pairs, and test several well-known sentence matching methods on it. The experimental results not only demonstrate the good quality of LCQMC but also provide solid baseline performance for further researches on this corpus.
Neural Activation Semantic Models: Computational lexical semantic models of localized neural activations

Neural activation models have been proposed in the literature that use a set of example words for which fMRI measurements are available in order to find a mapping between word semantics and localized neural activations. Successful mappings let us expand to the full lexicon of concrete nouns using the assumption that similarity of meaning implies similar neural activation patterns. In this paper, we propose a computational model that estimates semantic similarity in the neural activation space and investigates the relative performance of this model for various natural language processing tasks. Despite the simplicity of the proposed model and the very small number of example words used to bootstrap it, the neural activation semantic model performs surprisingly well compared to state-of-the-art word embeddings. Specifically, the neural activation semantic model performs better than the state-of-the-art for the task of semantic similarity estimation between very similar or very dissimilar words, while performing well on other tasks such as entailment and word categorization. These are strong indications that neural activation semantic models can not only shed some light into human cognition but also contribute to computation models for certain tasks.
The value of 3-dimensional color Doppler in predicting intraoperative hemorrhage for cesarean scar pregnancy

Abstract The aim of this study is to evaluate the efficacy of 3-dimensional (3D) ultrasonography and 3D color power Doppler ultrasound in the management of cesarean scar pregnancy (CSP). A case–control study enrolled 190 CSP patients who underwent uterine artery embolization (UAE) in combination with dilatation and curettage (D&C). The maximum diameter of gestational sac or CSP mass, uterine scar thickness, and resistance index (RI) were measured by 2D ultrasound. The lesion volume, vascular index (VI), flow index (FI), blood vessels, and blood flow index (VFI) were assessed by 3D ultrasound. The changes of these parameters before and after UAE were analyzed. Then, the patients were divided into bleeding group and control group according to the intraoperative hemorrhage during D&C to access and compare the significance of 2D and 3D parameters in intraoperative hemorrhage. The mean VI and the mean VFI were significantly reduced after embolization (P < .01). In the bleeding group, the lesion volume and diameter of gestational sac or CSP mass were significantly larger, VI and VFI were significantly higher, the uterine scar thickness was thinner, and RI was lower (P < .05). The best indicator for prediction of massive intraoperative bleeding was the VI with an area under the curve of 0.870, the best cut-off value of VI was 7.500, and the sensitivity and specificity were 88.2% and 82.4%, respectively. In comparing the receiver operating characteristic curves among 2D and 3D ultrasound parameters, the diagnostic efficacy of lesion volume was significantly higher than maximum diameter (P < .001). The diagnostic efficacy of VI was significantly higher than maximum diameter (P = .020) and RI (P = .011). UAE reduces the number of vessels and the blood flow perfusion obviously; however, it does not reduce lesion size or increases myometrial thickness. Three-dimensional ultrasonography and power Doppler, especially VI, lesion volume may be helpful in predicting excessive bleeding during D&C after UAE.
Young Black Men’s Information Seeking following Celebrity Depression Disclosure: Implications for Mental Health Communication

Celebrity health disclosures motivate people to seek information about various health topics. However, limited systematic evaluations exist on effects of celebrity disclosures of mental illness, despite observations that this is a growing phenomenon and have important implications for public health education. Further, research has rarely examined the impact of such disclosures on minority populations. This study sought to understand factors associated with young Black men’s information seeking following exposure to a depression disclosure by Scott Mescudi. Mescudi is a well-known Black male hip-hop artist who shared his depression diagnosis and subsequent treatment plans with his fans in October 2016. For this study, I surveyed 182 Black males aged 18–34, 1 month after the disclosure. Fifty percent sought general information about depression, and 16% sought information to ascertain whether they themselves were at risk for depression. Feeling emotional distress following the disclosure and having current depression symptoms were significantly associated with information seeking behaviors. Identification was indirectly related to information seeking through emotional distress. Thus, emotional distress appears to play an important role in information seeking behaviors following celebrity health disclosures. The findings suggest celebrity health disclosures are associated with proactive health behaviors among this sample. Implications of the results for theorization of celebrity health effects and research on mental health communication with young Black men are discussed.
Functional connectivity changes in the entorhinal cortex of taxi drivers

As a major interface between the hippocampus and the neocortex, the entorhinal cortex (EC) is widely known to play a pivotal role in spatial memory and navigation. Previous studies have suggested that the EC can be divided into the anterior‐lateral (alEC) and the posterior‐medial subregions (pmEC), with the former receiving object‐related information from the perirhinal cortex and the latter receiving scene‐related information from the parahippocampal cortex. However, the functional connectivity maps of the EC subregions in the context of extensive navigation experience remain elusive. In this study, we analyzed the functional connectivity of the EC in subjects with long‐term navigation experience and aimed to find the navigation‐related change in the functional properties of the human EC.
Lack of short-chain fatty acids and overgrowth of opportunistic pathogens define dysbiosis of neuromyelitis optica spectrum disorders: A Chinese pilot study

Background: Intestinal microbiota is an important environmental factor in the initiation and progression of autoimmune diseases. However, investigations on the gut microbiome in neuromyelitis optica spectrum disorders (NMOSD) are relatively insufficient, especially for that of the Asia population. Objectives: To evaluate whether or not the intestinal microbiota of NMOSD patients had specific microbial signatures. Methods: Next-generation sequencing and gas chromatography were employed to compare the fecal microbial composition and short-chain fatty acids (SCFAs) spectrum between patients with NMOSD (n = 84) and healthy controls (n = 54). Results: The gut microbial composition of NMOSD distinguished from healthy individuals. Streptococcus, significantly increased in NMOSD, is positively correlated with disease severities (p < 0.05). The use of immunosuppressants results in a decrease of Streptococcus, suggesting that Streptococcus might play a significant role in the pathogenesis of NMOSD. A striking depletion of fecal SCFAs was observed in NMOSD patients (p < 0.0001), with acetate and butyrate showing significantly negative correlation with disease severities (p < 0.05). Conclusion: The fecal organismal structures and SCFAs level of patients with NMOSD were distinctive from healthy individuals. These findings not only could be critical events driving the aberrant immune response responsible for the pathogenesis of these disorders but could also provide suggestions for disease therapy.
Partitions and Coverings of Trees by Bounded-Degree Subtrees

This paper addresses the following questions for a given tree $T$ and integer $d\geq2$: (1) What is the minimum number of degree-$d$ subtrees that partition $E(T)$? (2) What is the minimum number of degree-$d$ subtrees that cover $E(T)$? We answer the first question by providing an explicit formula for the minimum number of subtrees, and we describe a linear time algorithm that finds the corresponding partition. For the second question, we present a polynomial time algorithm that computes a minimum covering. We then establish a tight bound on the number of subtrees in coverings of trees with given maximum degree and pathwidth. Our results show that pathwidth is the right parameter to consider when studying coverings of trees by degree-3 subtrees. We briefly consider coverings of general graphs by connected subgraphs of bounded degree.
Safety and Efficacy of Diode Laser Transscleral Cyclophotocoagulation in Eyes With Good Visual Acuity

Background/Aims: The main aim of this study was to evaluate the safety and efficacy of diode laser transscleral cyclophotocoagulation (TSCPC) in eyes with good visual acuity. Patients and Methods: A retrospective chart review identified patients who underwent TSCPC for uncontrolled intraocular pressure (IOP) from 2014 to 2016. Enrollment criteria included pretreatment best-corrected visual acuity (BCVA) of 20 of 40 or better, and a minimum of 6 months of postoperative follow-up. Results: Thirty-three eyes of 33 patients(mean age, 72.1±16.0 y) were enrolled (mean follow-up 12.6±6.1 mo). The mean (SD) IOP was reduced 48.3% from 27.1 mm Hg (7.8) at baseline to 13.1 mm Hg (4.2) at last follow-up. Reduction of ≥1 glaucoma medications was achieved in 17 eyes (51.5%) at last follow-up. The cumulative probability of complete success (BCVA loss <2 Snelling lines, 20% reduction IOP, no reoperation for glaucoma, no IOP<5 mm Hg) was 78.8% and 50% at months 6 and 12, respectively. The cumulative probability of qualified success (BCVA≥2 lines with ≥20% reduction IOP, no reoperation for glaucoma, no IOP<5 mm Hg) was 90.1% and 81.3% at month 6 and 1 year, respectively. Significant vision loss, defined as BCVA≥2 lines, occurred in 33% of patients. The most common complications were postoperative iritic (56.3%) and cystoid macular edema (12.5%). Conclusions: TSCPC demonstrates a strong reduction in IOP and glaucoma medication use. However, with significant vision loss in 33% of patients, future prospective studies with a comparison group receiving traditional glaucoma surgery are needed to determine comparative safety and efficacy.