Miracle-dz/UniFAR-FTUs huggingface dataset:
Glycosaminoglycans and their proteoglycans: host‐associated molecular patterns for initiation and modulation of inflammation

Glycosaminoglycans, linear carbohydrates such as heparan sulfate and hyaluronan, participate in a variety of biological processes including cell‐matrix interactions and activation of chemokines, enzymes and growth factors. This review will discuss progress in immunology and the science of wound repair that has revealed the importance of glycosaminoglycans, and their proteoglycans, in the inflammatory process. Heparan sulfate enables growth factor function and modifies enzyme/inhibitor functions, such as antithrombin III and heparin cofactor II. Heparan sulfate also interacts with cytokines/chemokines and participates in leukocyte selectin binding to promote the recruitment of leukocytes. Chondroitin sulfate/ dermatan sulfate regulates growth factor activity and is an alternate modulator of heparin cofactor II. In addition, dermatan sulfate induces ICAM‐1 expression on endothelial cells and also recruits leukocytes via selectin interactions. Hyaluronan alternatively participates in leukocyte recruitment via interaction with CD44, while activating various inflammatory cells, such as macrophages, through CD44‐dependent signaling. Hyaluronan also signals through Toll‐like receptor 4 to induce dendritic cell maturation and promote cytokine release by dendritic cells and endothelial cells. Taken together, the field of glycosaminoglycan biology provides new clues and explanations of the process of inflammation and suggests new therapeutic approaches to human disease. —Taylor, K. R. , Gallo, R. L. Glycosaminoglycans and their proteoglycans: host‐associated molecular patterns for initiation and modulation of inflammation. FASEB J. 20, 9–22 (2006)
High-dose antioxidant therapy and steroids might improve the outcome of acute renal failure from intoxication by Cortinarius rubellus: report of two cases

Only a small number of cases with favourable outcome after acute renal failure due to intoxication by Cortinarius sp. have been reported in the literature, and approximately half of the patients develop chronic renal failure and dialysis-dependency. We report the case of a couple with acute renal failure after accidental intake of Cortinarius rubellus and a favourable outcome after treatment with high-dose antioxidant therapy with N-acetylcysteine and steroids. Dialysis was never necessary in both patients and renal function was almost normal at the end of follow-up. Underdiagnosis of this rare cause of acute renal failure is likely due to the fact that affected patients develop symptoms of intoxication after a delay of 2–30 days. In patients with unclear acute renal failure with or without gastrointestinal symptoms, intoxication from Cortinarius sp. should be considered as a differential diagnosis. Early treatment with high-dose antioxidant therapy and steroids might be effective in reducing the risk of chronic renal failure.
Systemic Mesenchymal Stromal Cell Transplantation Prevents Functional Bone Loss in a Mouse Model of Age‐Related Osteoporosis

Age‐related osteoporosis is driven by defects in the tissue‐resident mesenchymal stromal cells (MSCs), a heterogeneous population of musculoskeletal progenitors that includes skeletal stem cells. MSC decline leads to reduced bone formation, causing loss of bone volume and the breakdown of bony microarchitecture crucial to trabecular strength. Furthermore, the low‐turnover state precipitated by MSC loss leads to low‐quality bone that is unable to perform remodeling‐mediated maintenance—replacing old damaged bone with new healthy tissue. Using minimally expanded exogenous MSCs injected systemically into a mouse model of human age‐related osteoporosis, we show long‐term engraftment and markedly increased bone formation. This led to improved bone quality and turnover and, importantly, sustained microarchitectural competence. These data establish proof of concept that MSC transplantation may be used to prevent or treat human age‐related osteoporosis.
The Stress of Caring for Children With Asthma: A Qualitative Study of Primary Caregivers

Background: Asthma is one of the most common chronic diseases in children. The unpredictability, frequency, and health risks associated with acute asthma attacks have a profound impact on the daily lives of affected children and their families. Understanding the experiences of primary caregivers may help nurses provide better care to children with asthma. Purpose: This study explores the experience of primary caregivers in providing care to children with asthma. Methods: The study used exploratory and descriptive research methods and collected data using a qualitative research interview approach. Seventeen primary caregivers of children with asthma who visited the allergy clinics of two medical centers and one regional hospital in northern Taiwan participated in the study. An interview guide with a semistructured questionnaire was used, and verbatim transcripts of the audiotape-recorded interviews were analyzed using content analysis. Results: The findings are described in three themes covering 10 categories. These themes and categories include feelings of uncertainty during illness (disease as perception related, lack of information), feelings of chaos and instability (worry, fear, frustration, helplessness, physical distress), and social tension and family conflict (disorientation of daily activity and burden of care, economic burden, family tensions and disagreements). Conclusions: Negative experiences with asthma care and the unpredictability of the disease outcomes impair the ability of caregivers to adapt successfully to their caregiving role and encourage perceptions that they cannot cope with this illness. Better understanding the caregiver experience may assist healthcare providers to better target support to these caregivers so that they are better able to care for children with asthma.
Community Compensatory Trend Prevails from Tropical to Temperate Forest

Community compensatory trend (CCT) is thought to facilitate persistence of rare species and thus stabilize species composition in tropical forests. However, whether CCT acts over broad geographical ranges is still in question. In this study, we tested for the presence of negative density dependence (NDD) and CCT in three forests along a tropical-temperate gradient. Inventory data were collected from forest communities located in three different latitudinal zones in China. Two widely used methods were used to test for NDD at the community level. The first method considered relationships between the relative abundance ratio and adult abundance. The second method emphasized the effect of adult abundance on abundance of established younger trees. Evidence for NDD acting on different growth forms was tested by using the first method, and the presence of CCT was tested by checking whether adult abundance of rare species affected that of established younger trees less than did abundance of common species. Both analyses indicated that NDD existed in seedling, sapling and pole stages in all three plant communities and that this effect increased with latitude. However, the extent of NDD varied among understory, midstory and canopy trees in the three communities along the gradient. Additionally, despite evidence of NDD for almost all common species, only a portion of rare species showed NDD, supporting the action of CCT in all three communities. So, we conclude that NDD and CCT prevail in the three recruitment stages of the tree communities studied; rare species achieve relative advantage through CCT and thus persist in these communities; CCT clearly facilitates newly established species and maintains tree diversity within communities across our latitudinal gradient.
86 GHz SiO maser survey of late-type stars in the Inner Galaxy

We present an 86 GHz SiO (v = 1, J = 2 → 1) maser search toward late-type stars located within |b|< 0. ​​°5 and 20° < l < 50°. This search is an extension at longer longitudes of a previously published work. We selected 135 stars from the MSX catalog using color and flux criteria and detected 92 (86 new detections). The detection rate is 68%, the same as in our previous study. The last few decades have seen the publication of several catalogs of point sources detected in infrared surveys (MSX, 2MASS, DENIS, ISOGAL, WISE, GLIMPSE, AKARI, and MIPSGAL). We searched each catalog for data on the 444 targets of our earlier survey and for the 135 in the survey reported here. We confirm that, as anticipated, most of our targets have colors typical of oxygen-rich asymptotic giant branch (AGB) stars. Only one target star may have already left the AGB. Ten stars have colors typical of carbon-rich stars, meaning a contamination of our sample with carbon stars ≲1.7%.
Analysis of the Listeria cell wall proteome by two‐dimensional nanoliquid chromatography coupled to mass spectrometry

Genome analyses have revealed that the Gram‐positive bacterial species Listeria monocytogenes and L. innocua contain a large number of genes encoding surface proteins predicted to be covalently bound to the cell wall (41 and 34, respectively). The function of most of these proteins is unknown and they have not even been identified biochemically. Here, we report the first characterization of the Listeria cell wall proteome using a nonelectrophoretic approach. The material analyzed consisted of a peptide mixture obtained from a cell wall extract insoluble in boiling 4% SDS. This extract, containing peptidoglycan (intrinsically resistant to proteases) and strongly associated proteins, was digested with trypsin in a solution with 0.01% SDS, used to favor protein digestion throughout the peptidoglycan. The resulting complex peptide mixture was fractionated and analyzed by two‐dimensional nanoliquid chromatography coupled to ion‐trap mass spectrometry. A total of 30 protein species were unequivocally identified in cell wall extracts of the genome strains L. monocytogenes EGD‐e (19 proteins) and L. innocua CLIP11262 (11 proteins). Among them, 20 proteins bearing an LPXTG motif recognized for covalent anchoring to the peptidoglycan were identified. Other proteins detected included peptidoglycan‐lytic enzymes, a penicillin‐binding protein, and proteins bearing an NXZTN motif recently proposed to direct protein anchoring to the peptidoglycan. The marked sensitivity of the method makes it highly attractive in the post‐genome era for defining the cell wall proteome in any bacterial species. This information will be useful to study novel protein‐peptidoglycan associations and to rapidly identify new targets in the surface of important bacterial pathogens.
Microsampling Lu–Hf geochronology on mm‐sized garnet in eclogites constrains early garnet growth and timing of tectonometamorphism in the North Qilian orogenic belt

This study presents Lu–Hf geochronology of zoned garnet in high‐P eclogites from the North Qilian orogenic belt. Selected samples have ~mm‐sized garnet grains that have been sampled with a micro‐drill and analysed for dating. The Lu–Hf dates of bulk garnet separates, micro‐drilled garnet cores and the remnant, rim‐enriched garnet were determined by two‐point isochrons, with cores being consistently older than the bulk‐ and rim‐enriched garnet. The bulk garnet separates of each sample define identical garnet–whole rock isochron date of c. 457 Ma. Consistent U–Pb zircon dates of 455 ± 8 Ma were obtained from the eclogite. The Lu–Hf dates of the drilled cores and rim‐rich separates suggest a minimum garnet growth interval of 468.9 ± 2.4 and 452.1 ± 1.6 Ma. Major and Lu element profiles in the majority of garnet grains show well‐preserved Rayleigh‐style fractionated bell‐shaped Mn and Lu zoning profiles, and increasing Mg from core to rim. Pseudosection modelling indicates that garnet grew along a P–T path from ~470–525°C and ~2.4–2.6 GPa. The exceptional high‐Mn garnet core in one sample indicates an early growth during epidote–blueschist facies metamorphism at <460°C and <0.8 GPa. Therefore, the Lu–Hf dates of drilled cores record the early prograde garnet growth, whereas the Lu–Hf dates of rim‐rich fractions provide a maximum age for the end of garnet growth. The microsampling approach applied in this study can be broadly used in garnet‐bearing rocks, even those without extremely large garnet crystals, in an attempt to retrieve the early metamorphic timing recorded in older garnet cores. Given a proper selection of the drill bit size and a detailed crystal size distribution analysis, the cores of the mm‐sized garnet in most metamorphic rocks can be dated to yield critical constraints on the early timing of metamorphism. This study provides new crucial constraints on the timing of the initial subduction (before c. 469 Ma) and the ultimate closure (earlier than c. 452 Ma) of the fossil Qilian oceanic basin.
Augmented Reality system based on sketches for geometry education

This paper presents AG3DO (Augmented Geometry 3D Objects) prototype, a tool for generating three-dimensional geometrical objects starting from two-dimensional freehand line drawings. This system is used to assist students in the process of understanding descriptive geometry. By means of Augmented Reality (AR) technology, 3D geometric models reconstructed from sketches (freehand drawings) can be visualized. The input sketches represent two contour projections of the final three-dimensional object. The tests concluded that our prototype improves the spatial ability of the user.
Maintenance therapy of gefitinib for non-small-cell lung cancer after first-line chemotherapy regardless of epidermal growth factor receptor mutation: a review in Chinese patients

Abstract Purpose: Gefitinib is a well known therapy for non-small-cell lung cancer (NSCLC). The purpose of this study was to review clinical reports of gefitinib as maintenance therapy after first-line chemotherapy regardless of epidermal growth factor receptor (EGFR) mutation, and assess its efficacy and safety in Chinese patients. Materials and methods: Systematic computerized searches of the following databases were conducted from the start of each database up to July 2012; these include Medline, EMBASE, CNKI and www.clinicaltrials. gov. Terms searched include ‘non-small-cell lung cancer’, ‘NSCLC’, ‘lung cancer’, ‘lung tumor’, ‘gefitinib’, ‘Iressa’, ‘EGFR’ and ‘epidermal growth factor receptor tyrosine kinase inhibitors’. A total of 22 studies were reviewed. Results: In general, the overall response rate (ORR), disease control rate (DCR) and one year survival (OYS) of gefitinib maintenance therapy were 30.89%, 67.5% and 50.6% respectively, in addition, the median overall survival (OS) and median progression free survival (PFS) were 13.09 and 7.88 months respectively. Moreover, ORR, DCR, median survival time (MST) and PFS of female, nonsmoking, lung adenocarcinoma (LAC) patients and patients with rash had higher performance than male, smoking, non-LAC patients and patients without rash (p < 0.05). The adverse events (AEs) were mainly skin rashes and diarrhea, most of which were grades 1 or 2 and were well tolerated. Conclusion: Gefitinib produced encouraging efficacy, safety and survival when delivered as maintenance therapy for NSCLC in Chinese patients after first-line chemotherapy regardless of EGFR mutation, especially for the patients who were female, non-smokers, LAC and with rash. Key limitations of this review include limited subgroup data, small sample sizes, and the lack of EGFR/KRAS data.
GAODE and HAODE: two proposals based on AODE to deal with continuous variables

AODE (Aggregating One-Dependence Estimators) is considered one of the most interesting representatives of the Bayesian classifiers, taking into account not only the low error rate it provides but also its efficiency. Until now, all the attributes in a dataset have had to be nominal to build an AODE classifier or they have had to be previously discretized. In this paper, we propose two different approaches in order to deal directly with numeric attributes. One of them uses conditional Gaussian networks to model a dataset exclusively with numeric attributes; and the other one keeps the superparent on each model discrete and uses univariate Gaussians to estimate the probabilities for the numeric attributes and multinomial distributions for the categorical ones, it also being able to model hybrid datasets. Both of them obtain competitive results compared to AODE, the latter in particular being a very attractive alternative to AODE in numeric datasets.
Distinguishing Trends and Shifts from Memory in Climate Data

The detection of climate change and its attribution to the corresponding underlying processes is challenging because signals such as trends and shifts are superposed on variability arising from the memory within the climate system. Statistical methods used to characterize change in time series must be flexible enough to distinguish these components. Here we propose an approach tailored to distinguish these different modes of change by fitting a series of models and selecting the most suitable one according to an information criterion. The models involve combinations of a constant mean or a trend superposed to a background of white noise with or without autocorrelation to characterize the memory, and are able to detect multiple changepoints in each model configuration. Through a simulation study on synthetic time series, the approach is shown to be effective in distinguishing abrupt changes from trends and memory by identifying the true number and timing of abrupt changes when they are present. Furthermore, the proposed method is better performing than two commonly used approaches for the detection of abrupt changes in climate time series. Using this approach, the so-called hiatus in recent global mean surface warming fails to be detected as a shift in the rate of temperature rise but is instead consistent with steady increase since the 1960s/1970s. Our method also supports the hypothesis that the Pacific decadal oscillation behaves as a short-memory process rather than forced mean shifts as previously suggested. These examples demonstrate the usefulness of the proposed approach for change detection and for avoiding the most pervasive types of mistake in the detection of climate change.
Locality-Constrained Sparse Auto-Encoder for Image Classification

We propose a locality-constrained sparse auto-encoder (LSAE) for image classification in this letter. Previous work has shown that the locality is more essential than sparsity for classification task. We here introduce the concept of locality into the auto-encoder, which enables the auto-encoder to encode similar inputs using similar features. The proposed LSAE can be trained by the existing backprop algorithm; no complicated optimization is involved. Experiments on the CIFAR-10, STL-10 and Caltech-101 datasets validate the effectiveness of LSAE for classification task.
Synthesis of Ultrahigh Molecular Weight Polymers with Low PDIs by Polymerizations of 1-Decene, 1-Dodecene, and 1-Tetradecene by Cp*TiMe2(O-2,6-iPr2C6H3)–Borate Catalyst

Polymerizations of 1-decene (DC), 1-dodecene (DD), and 1-tetradecene (TD) by Cp*TiMe2(O-2,6-iPr2C6H3) (1)–[Ph3C][B(C6F5)4] (borate) catalyst have been explored in the presence of Al cocatalyst. The polymerizations of DC and DD, in n-hexane containing a mixture of AliBu3 and Al(n-C8H17)3, proceeded with high catalytic activities in a quasi-living manner, affording high molecular weight polymers (activity 4120–5860 kg-poly(DC)/mol-Ti·h, Mn for poly(DC) = 7.04–7.82 × 105, after 20 min at −30 °C). The PDI (Mw/Mn) values in the resultant polymers decreased upon increasing the ratio of Al(n-C8H17)3/AliBu3 with decreasing the activities at −30 °C. The PDI values also became low when these polymerizations were conducted at low temperatures (−40 or −50 °C); high molecular weight poly(DD) with low PDI (Mn = 5.26 × 105, Mw/Mn = 1.16) was obtained at −50 °C. The TD polymerization using 1–borate–AliBu3 catalyst (conducted in n-hexane at −30 °C) afforded ultrahigh molecular weight poly(TD) (Mn = 1.02 × 106, Mw/Mn = 1.38), and the PDI values also decreased with increasing the Al(n-C8H17)3/AliBu3 ratio.
Insects' RNA Profiling Reveals Absence of “Hidden Break” in 28S Ribosomal RNA Molecule of Onion Thrips, Thrips tabaci

With an exception of aphids, insects' 28S rRNA is thought to harbor a “hidden break” which cleaves under denaturing conditions to comigrate with 18S rRNA band to exhibit a degraded appearance on native agarose gels. The degraded appearance confounds determination of RNA integrity in laboratories that rely on gel electrophoresis. To provide guidelines for RNA profiles, RNA from five major insect orders, namely, Diptera, Hemiptera, Thysanoptera, Hymenoptera, and Lepidoptera, was compared under denaturing and nondenaturing conditions. This study confirmed that although present in most of insect's RNA, the “hidden break” is absent in the 28S rRNA of onion thrips, Thrips tabaci. On the other hand, presence of “hidden break” was depicted in whiteflies' 28S rRNA despite their evolutionary grouping under same order with aphids. Divergence of 28S rRNA sequences confirms variation of both size and composition of gap region among insect species. However, phylogeny reconstruction does not support speciation as a possible source of the hidden break in insect's 28S rRNA. In conclusion, we show that RNA from a given insect order does not conform to a particular banding profile and therefore this approach cannot be reliably used to characterize newly discovered species.
Deconvolutional Latent-Variable Model for Text Sequence Matching

A latent-variable model is introduced for text matching, inferring sentence representations by jointly optimizing generative and discriminative objectives. To alleviate typical optimization challenges in latent-variable models for text, we employ deconvolutional networks as the sequence decoder (generator), providing learned latent codes with more semantic information and better generalization. Our model, trained in an unsupervised manner, yields stronger empirical predictive performance than a decoder based on Long Short-Term Memory (LSTM), with less parameters and considerably faster training. Further, we apply it to text sequence-matching problems. The proposed model significantly outperforms several strong sentence-encoding baselines, especially in the semi-supervised setting.
A Lack of Dynamic Triggering of Slow Slip and Tremor Indicates That the Shallow Cascadia Megathrust Offshore Vancouver Island Is Likely Locked

Great subduction zone earthquakes vary considerably in the updip extent of megathrust rupture. It is unclear if this diversity reflects variations in interseismic strain accumulation owing to the limited number of subduction zones with seafloor monitoring. We use a borehole seismic‐geodetic observatory installed at the updip end of the Cascadia fault offshore Vancouver Island to show that the megathrust there does not appear to slip in triggered tremor or slow‐slip events when subjected to moderate dynamic stress transients. Borehole tilt and seismic data from recent teleseismic M7.6–8.1 earthquakes demonstrate a lack of triggered slow slip above the Mw 4.0 level and an absence of triggered tremor despite shear‐stress transients of 1–10 kPa that were sufficient to trigger tremor on the downdip end of the interface. Our observations are most consistent with a model in which the Cascadia fault offshore Vancouver Island is locked all the way to the trench.