bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effectiveness of Skeletal Reconstruction in Severe Post-Rhinoplasty Nasal Deformity
Authors: Sazgar Amir A , Hajialipour Shabnam , Razfar Ali , Rahavi-Ezabadi Sara 
Published: December 2020

AbstractBackgroundRevision rhinoplasty in patients with multiple prior surgeries is among the most challenging procedures in facial plastic surgery. Evaluating patient satisfaction in this unique patient population is important in determining which technique is effective.ObjectivesThe aim of this study was to determine the outcomes of total nasal skeletal reconstruction in patients with severe post-rhinoplasty deformity due to multiple previous revision surgeries.MethodsA retrospective medical record analysis of ambulatory surgery and hospital databases was performed relating to rhinoplasty patients between April 2014 and December 2018. Patient demographics, surgical technique, and functional and aesthetic outcome assessment data were retrieved. Patients’ functional satisfaction was measured with the Nasal Obstruction Symptom Evaluation (NOSE) instrument, and the Rhinoplasty Outcome Evaluation (ROE) instrument was used to evaluate cosmetic results.ResultsA total of 253 revision rhinoplasties were extracted. Of these, 25 patients were revision cases with total skeletal reconstruction. The patients had undergone a mean of 3.2 previous rhinoplasties. Mean [standard deviation] preoperative ROE and NOSE scores were 6.36 [3.69] and 80.33 [12.02], respectively. Septum, tip, dorsum, and side walls were reconstructed in all cases. The mean postoperative ROE and NOSE scores after 1 year were 17.27 [4.67] and 53.33 [19.80], respectively, which represented a statistically significant improvement (P &lt; 0.001).ConclusionsHaving the knowledge and experience to perform total nasal skeletal reconstruction by rebuilding an unsalvageable nose leads to long-standing satisfactory functional and aesthetic results.Level of Evidence: 4
Deep forest ensemble learning for classification of alignments of non-coding RNA sequences based on multi-view structure representations
Authors: Li Ying , Zhang Qi , Liu Zhaoqian , Wang Cankun , Han Siyu , Ma Qin , Du Wei 
Published: December 2020

Abstract
Non-coding RNAs (ncRNAs) play crucial roles in multiple biological processes. However, only a few ncRNAs’ functions have been well studied. Given the significance of ncRNAs classification for understanding ncRNAs’ functions, more and more computational methods have been introduced to improve the classification automatically and accurately. In this paper, based on a convolutional neural network and a deep forest algorithm, multi-grained cascade forest (GcForest), we propose a novel deep fusion learning framework, GcForest fusion method (GCFM), to classify alignments of ncRNA sequences for accurate clustering of ncRNAs. GCFM integrates a multi-view structure feature representation including sequence-structure alignment encoding, structure image representation and shape alignment encoding of structural subunits, enabling us to capture the potential specificity between ncRNAs. For the classification of pairwise alignment of two ncRNA sequences, the F-value of GCFM improves 6% than an existing alignment-based method. Furthermore, the clustering of ncRNA families is carried out based on the classification matrix generated from GCFM. Results suggest better performance (with 20% accuracy improved) than existing ncRNA clustering methods (RNAclust, Ensembleclust and CNNclust). Additionally, we apply GCFM to construct a phylogenetic tree of ncRNA and predict the probability of interactions between RNAs. Most ncRNAs are located correctly in the phylogenetic tree, and the prediction accuracy of RNA interaction is 90.63%. A web server (http://bmbl.sdstate.edu/gcfm/) is developed to maximize its availability, and the source code and related data are available at the same URL.
NCBRPred: predicting nucleic acid binding residues in proteins based on multilabel learning
Authors: Zhang Jun , Chen Qingcai , Liu Bin 
Published: December 2020

AbstractThe interactions between proteins and nucleic acid sequences play many important roles in gene expression and some cellular activities. Accurate prediction of the nucleic acid binding residues in proteins will facilitate the research of the protein functions, gene expression, drug design, etc. In this regard, several computational methods have been proposed to predict the nucleic acid binding residues in proteins. However, these methods cannot satisfactorily measure the global interactions among the residues along protein. Furthermore, these methods are suffering cross-prediction problem, new strategies should be explored to solve this problem. In this study, a new computational method called NCBRPred was proposed to predict the nucleic acid binding residues based on the multilabel sequence labeling model. NCBRPred used the bidirectional Gated Recurrent Units (BiGRUs) to capture the global interactions among the residues, and treats this task as a multilabel learning task. Experimental results on three widely used benchmark datasets and an independent dataset showed that NCBRPred achieved higher predictive results with lower cross-prediction, outperforming 10 existing state-of-the-art predictors. The web-server and a stand-alone package of NCBRPred are freely available at http://bliulab.net/NCBRPred. It is anticipated that NCBRPred will become a very useful tool for identifying nucleic acid binding residues.
Detecting the number of clusters in a network
Authors: Budel Gabriel , Van Mieghem Piet 
Published: December 2020

Abstract
Many clustering algorithms for complex networks depend on the choice for the number of clusters and it is often unclear how to make this choice. The number of eigenvalues located outside a circle in the spectrum of the non-backtracking matrix was conjectured to be an estimator of the number of clusters in a graph. We compare the estimate of the number of clusters obtained from the spectrum of the non-backtracking matrix with three estimators based on the concept of modularity and evaluate the methods on several benchmark graphs. We find that the non-backtracking method detects the number of clusters better than the modularity-based methods for the graphs in our simulation study, especially when the clusters have slightly different sizes. The estimates of the non-backtracking method are narrowly distributed around the true number of clusters for all benchmark graphs considered. Additionally, for graphs without a clustering structure, the non-backtracking method detects exactly one cluster, which is a convenient property of an estimator of the number of clusters. However, the lack of a well-defined concept of a cluster prevents sharp conclusions.
Seasonal changes and the unexpected impact of environmental disturbance on skin bacteria of individual amphibians in a natural habitat
Authors: Walke Jenifer B , Becker Matthew H , Krinos Arianna , Chang Elizabeth A B , Santiago Celina , Umile Thomas P , Minbiole Kevin P C , Belden Lisa K 
Published: December 2020

ABSTRACT
Amphibians host diverse skin bacteria that have a role in pathogen defense, but these skin communities could change over time and impact this function. Here, we monitored individual Eastern red-spotted newts (Notophthalmus viridescens; N = 17) for 2 years in a field pond enclosure and assessed the effects of season and disturbance on skin bacterial community dynamics. We created disturbances by adding additional pond substrate to the enclosure at two timepoints. We planned to sample the skin bacterial community and metabolite profiles of each newt every 6 weeks; we ultimately sampled eight individuals at least six times. We used 16S rRNA gene amplicon sequencing to characterize the bacterial communities and HPLC-MS for metabolite profiling. We found that disturbance had a dramatic effect on skin bacterial communities and metabolite profiles, while season had an effect only using select metrics. There were seven core bacterial taxa (97% OTUs) that were found on all newts in all seasons, pre- and post-disturbance. Lastly, there was a correlation between bacterial and metabolite profiles post-disturbance, which was not observed pre-disturbance. This longitudinal study suggests that environmental disturbances can have lasting effects on skin bacterial communities that overwhelm seasonal changes, although the core bacteria remain relatively consistent over time.
The Spectre of Abnormality: Deaf Education and the Poetics of Contestation at the Turn of the Twentieth Century
Authors: Arnaud Sabine 
Published: December 2020

Abstract
When, during the Revolution, the French government committed to supporting the education of Deaf people, they left it to teachers to determine the methods and contents of this education. Less than a century later, the Ministry of the Interior of the third Republic reformed the teaching in use in most institutions in the direction of methods of pure speech. This moment coincided with the development of new categories to classify children in relation to the educational project, especially ‘backward’ and ‘abnormal’ at the turn of the twentieth-century. While Deaf writers did not oppose the teaching of speech, they soon questioned the legitimacy of this reform, and exposed the threats it posed for the development of Deaf pupils. In addition to examining the stakes and the impacts of the political decision, this paper will analyze the development of a poetics of contestation throughout Deaf writing, as manifested in the adoption of a variety of rhetorical strategies, ranging from irony to critical analysis, in the rewriting of the category of abnormality. This article will show how these years of struggle were also years of emancipation, insofar as the acquisition of language became a poetical and political act.
An update on cefepime and its future role in combination with novel β-lactamase inhibitors for MDR Enterobacterales and Pseudomonas aeruginosa
Authors: Isler Burcu , Harris Patrick , Stewart Adam G , Paterson David L 
Published: December 2020

Abstract
Cefepime, a wide-spectrum β-lactam antibiotic, has been in use for the treatment of serious bacterial infections for almost 25 years. Since its clinical development, there has been a dramatic shift in its dosing, with 2 g every 8 hours being preferred for serious infections to optimize pharmacokinetic/pharmacodynamic considerations. The advent of ESBLs has become a threat to its ongoing use, although future coadministration with β-lactamase inhibitors (BLIs) under development is an area of intense study. There are currently four new cefepime/BLI combinations in clinical development. Cefepime/zidebactam is generally active against MBL-producing Enterobacterales and Pseudomonas aeruginosa, in vitro and in animal studies, and cefepime/taniborbactam has activity against KPC and OXA-48 producers. Cefepime/enmetazobactam and cefepime/tazobactam are potential carbapenem-sparing agents with activity against ESBLs. Cefepime/enmetazobactam has completed Phase III and cefepime/taniborbactam is in Phase III clinical studies, where they are being tested against carbapenems or piperacillin/tazobactam for the treatment of complicated urinary tract infections. While these combinations are promising, their role in the treatment of MDR Gram-negative infections can only be determined with further clinical studies.
Role of small leucine zipper protein in hepatic gluconeogenesis and metabolic disorder
Authors: Kang Minsoo , Han Sun Kyoung , Kim Suhyun , Park Sungyeon , Jo Yerin , Kang Hyeryung , Ko Jesang 
Published: December 2020

AbstractHepatic gluconeogenesis is the central pathway for glucose generation in the body. The imbalance between glucose synthesis and uptake leads to metabolic diseases such as obesity, diabetes, and cardiovascular diseases. Small leucine zipper protein (sLZIP) is an isoform of LZIP and it mainly functions as a transcription factor. Although sLZIP is known to regulate the transcription of genes involved in various cellular processes, the role of sLZIP in hepatic glucose metabolism is not known. In this study, we investigated the regulatory role of sLZIP in hepatic gluconeogenesis and its involvement in metabolic disorder. We found that sLZIP expression was elevated during glucose starvation, leading to the promotion of phosphoenolpyruvate carboxylase and glucose-6-phosphatase expression in hepatocytes. However, sLZIP knockdown suppressed the expression of the gluconeogenic enzymes under low glucose conditions. sLZIP also enhanced glucose production in the human liver cells and mouse primary hepatic cells. Fasting-induced cyclic adenosine monophosphate impeded sLZIP degradation. Results of glucose and pyruvate tolerance tests showed that sLZIP transgenic mice exhibited abnormal blood glucose metabolism. These findings suggest that sLZIP is a novel regulator of gluconeogenic enzyme expression and plays a role in blood glucose homeostasis during starvation.
Chronic Treatment With Hydrogen Sulfide Donor GYY4137 Mitigates Microglial and Astrocyte Activation in the Spinal Cord of Streptozotocin-Induced Diabetic Rats
Authors: Shayea Abdulaziz M F , Mousa Alyaa M A , Renno Waleed M , Nadar Mohammed Shaban , Qabazard Bedoor , Yousif Mariam H M 
Published: December 2020

Abstract
Long-term diabetic patients suffer immensely from diabetic neuropathy. This study was designed to investigate the effects of hydrogen sulfide (H2S) on peripheral neuropathy, activation of microglia, astrocytes, and the cascade secretion of proinflammatory cytokines in the streptozotocin (STZ)-induced peripheral diabetic neuropathy rat model. STZ-induced diabetic rats were treated with the water-soluble, slow-releasing H2S donor GYY4137 (50 mg/kg; i.p.) daily for 4 weeks. Antiallodynic/antihyperalgesic activities were evaluated using different tests and histopathological changes and the expression of proinflammatory cytokines in the spinal cord were examined. GYY4137 treatment produced neuroprotective effects in the spinal cord of diabetic animals and modulated their sensory deficits. The treatment decreased allodynia (p &lt; 0.05) and mechanical hyperalgesia (p &lt; 0.01) and restored thermal hyperalgesia (p &lt; 0.001) compared with diabetic rats. The treatment decreased the microglial response and increased astrocyte counts in spinal cord gray and white matter compared with untreated diabetic rats. Proinflammatory cytokines were reduced in the treated group compared with diabetic rats. These results suggest that H2S has a potentially ameliorative effect on the neuropathic pain through the control of astrocyte activation and microglia-mediated inflammation, which may be considered as a possible treatment of peripheral nerve hypersensitivity in diabetic patients.
Detailed Clinical and Histopathological Description of 8 Cases of Molecularly Defined CNS Neuroblastomas
Authors: Holsten Till , Lubieniecki Fabiana , Spohn Michael , Mynarek Martin , Bison Brigitte , Löbel Ulrike , Rutkowski Stefan , Schüller Ulrich 
Published: December 2020

Abstract
Central nervous system neuroblastoma with FOXR2 activation (CNS NB FOXR2) has recently been described as a class of brain tumors sharing common genetic events and a highly similar DNA methylation profile. Most of these tumors have previously been diagnosed as primitive neuroectodermal tumor (PNET). Whereas the entity of PNET has been removed from the WHO classification of brain tumors in its current edition, CNS neuroblastoma was kept as an entity, but still lacks any molecular detail. Here, we describe 8 cases of CNS NB FOXR2 focusing on histomorphological and immunohistochemical features and include magnetic resonance imaging (MRI) for 2 of these cases. MRI revealed large supratentorial masses in superficial location with prominent cysts and necrosis, but little edema. Diffusion and enhancement characteristics were variable. Histological analyses showed that most of the cases displayed neuronal differentiation with necrosis, endothelial proliferation, and high vascularity. Immunohistochemistry revealed strong expression of synaptophysin, MAP2, and OLIG2 as well as moderate proliferation. These findings suggest that tumors with the molecular diagnosis of CNS NB FOXR2 may fit well into the WHO entity of CNS neuroblastoma. Our findings may be helpful when establishing an integrated diagnosis and may be indispensable if molecular data are unavailable.
Clinicopathological Staging of Dynamics of Neurodegeneration and Neuronal Loss in Alzheimer Disease
Authors: Wegiel Jerzy , Flory Michael , Kuchna Izabela , Nowicki Krzysztof , Ma Shuang Yong , Wegiel Jarek , Badmaev Eulalia , Leon Mony de , Wisniewski Thomas , Reisberg Barry 
Published: December 2020

Abstract
Clinical and neuropathological staging of Alzheimer disease (AD) neurodegeneration and neuronal loss dynamics is the baseline for identification of treatment targets and timing. The aim of this study of 14 brain regions in 25 subjects diagnosed with AD and 13 age-matched control subjects was to establish the pattern of neurodegeneration, and the severity and rate of neuronal loss in mild cognitive impairment/mild AD (Functional Assessment Staging [FAST] test 3–4), moderate to moderately severe AD (FAST 5–6), and severe AD (FAST 7). The study revealed (1) the most severe neuronal loss in FAST 3–4; (2) the highest rate of neuronal loss in FAST 5–6, to the “critical” point limiting further increase in neuronal loss; (3) progression of neurofibrillary degeneration, but decline of neuronal loss to a floor level in FAST 7; and (4) structure-specific rate of neuronal loss caused by neurofibrillary degeneration and a large pool of neuronal loss caused by other mechanisms. This study defines a range and speed of progression of AD pathology and functional decline that might potentially be prevented by the arrest of neuronal loss, both related and unrelated to neurofibrillary degeneration, during the 9-year duration of mild cognitive impairment/mild AD.
Study of UV-bright stellar populations in the globular cluster NGC 1261 using Astrosat
Authors: Rani Sharmila , Pandey Gajendra , Subramaniam Annapurni , Sahu Snehalata , Rao N Kameswara 
Published: December 2020

ABSTRACT
We present UV photometry of the globular cluster NGC 1261 using images acquired with the Ultraviolet Imaging Telescope (UVIT) on board Astrosat. We performed point-spread function (PSF) photometry on four near-UV (NUV) and two far-UV (FUV) images and constructed UV colour–magnitude diagrams (CMDs), in combination with the Hubble Space Telescope (HST), Gaia, and ground-based optical photometry for member stars. We detected the full horizontal branch (HB) in the NUV and blue HB in the FUV and identified two extreme HB (EHB) stars. HB stars have a tight sequence in UV–optical CMDs, well fitted with isochrones generated (age 12.6 Gyr, [Fe/H] = −1.27 metallicity) using updated BaSTI-IAC models. Effective temperatures (Teff), luminosities, and radii of bright HB stars were estimated using the spectral energy distribution. As we detect the complete sample of UV-bright HB stars, the hot end of the HB distribution is found to terminate at the G-jump ($T_{\rm eff}\, \sim$ 11500 K). The two EHB stars, fitted well with single spectra, have Teff = 31000 K and a mass = 0.495 M⊙, and follow the same Teff–radius relation as the blue HB stars. We constrain the formation pathways of these EHB stars to extreme mass loss in the RGB phase (due either to rotation or enhanced helium) or a early hot-flash scenario.
The clustering of DESI-like luminous red galaxies using photometric redshifts
Authors: Zhou Rongpu , Newman Jeffrey A , Mao Yao-Yuan , Meisner Aaron , Moustakas John , Myers Adam D , Prakash Abhishek , Zentner Andrew R , Brooks David , Duan Yutong , Landriau Martin , Levi Michael E , Prada Francisco , Tarle Gregory 
Published: December 2020

ABSTRACT
We present measurements of the redshift-dependent clustering of a DESI-like luminous red galaxy (LRG) sample selected from the Legacy Survey imaging data set, and use the halo occupation distribution (HOD) framework to fit the clustering signal. The photometric LRG sample in this study contains 2.7 million objects over the redshift range of 0.4 &lt; z &lt; 0.9 over 5655 deg2. We have developed new photometric redshift (photo-z) estimates using the Legacy Survey DECam and WISE photometry, with σNMAD = 0.02 precision for LRGs. We compute the projected correlation function using new methods that maximize signal-to-noise ratio while incorporating redshift uncertainties. We present a novel algorithm for dividing irregular survey geometries into equal-area patches for jackknife resampling. For a five-parameter HOD model fit using the MultiDark halo catalogue, we find that there is little evolution in HOD parameters except at the highest redshifts. The inferred large-scale structure bias is largely consistent with constant clustering amplitude over time. In an appendix, we explore limitations of Markov chain Monte Carlo fitting using stochastic likelihood estimates resulting from applying HOD methods to N-body catalogues, and present a new technique for finding best-fitting parameters in this situation. Accompanying this paper, we have released the Photometric Redshifts for the Legacy Surveys catalogue of photo-z’s obtained by applying the methods used in this work to the full Legacy Survey Data Release 8 data set. This catalogue provides accurate photometric redshifts for objects with z &lt; 21 over more than 16 000 deg2 of sky.
A brain-penetrant microtubule-targeting agent that disrupts hallmarks of glioma tumorigenesis
Authors: Horne Eric A , Diaz Philippe , Cimino Patrick J , Jung Erik , Xu Cong , Hamel Ernest , Wagenbach Michael , Kumasaka Debra , Wageling Nicholas B , Azorín Daniel D , Winkler Frank , Wordeman Linda G , Holland Eric C , Stella Nephi 
Published: December 2020

AbstractBackgroundGlioma is sensitive to microtubule-targeting agents (MTAs), but most MTAs do not cross the blood brain barrier (BBB). To address this limitation, we developed the new chemical entity, ST-401, a brain-penetrant MTA.MethodsSynthesis of ST-401. Measures of MT assembly and dynamics. Cell proliferation and viability of patient-derived (PD) glioma in culture. Measure of tumor microtube (TM) parameters using immunofluorescence analysis and machine learning-based workflow. Pharmacokinetics (PK) and experimental toxicity in mice. In vivo antitumor activity in the RCAS/tv-a PDGFB-driven glioma (PDGFB-glioma) mouse model.ResultsWe discovered that ST-401 disrupts microtubule (MT) function through gentle and reverisible reduction in MT assembly that triggers mitotic delay and cell death in interphase. ST-401 inhibits the formation of TMs, MT-rich structures that connect glioma to a network that promotes resistance to DNA damage. PK analysis of ST-401 in mice shows brain penetration reaching antitumor concentrations, and in vivo testing of ST-401 in a xenograft flank tumor mouse model demonstrates significant antitumor activity and no over toxicity in mice. In the PDGFB-glioma mouse model, ST-401 enhances the therapeutic efficacies of temozolomide (TMZ) and radiation therapy (RT).ConclusionOur study identifies hallmarks of glioma tumorigenesis that are sensitive to MTAs and reports ST-401 as a promising chemical scaffold to develop brain-penetrant MTAs.