bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of silica morphology on the shear‐thickening behavior of shear thickening fluids and stabbing resistance of fabric composites
Authors: Wei Rubin , Dong Bin , Wang Fenglong , Yang Jingjing , Jiang Yanyan , Zhai Wen , Li Hui 
Published: December 2019

ABSTRACTShear‐thickening fluid (STF) refers to a system where nonaggregating solid particles are suspended in a specific fluid. Due to its unique viscosity variation, STFs have attracted a lot of attention as soft body armor materials for impact protection. In this work, two kinds of STFs were designed using polyethylene glycol (PEG) and spherical or irregularly shaped silica particles. Rheological results showed that shear thickening can even occur at lower shear rates in the irregularly shaped silica‐based STF; however, the thickening range of the spherical silica‐based STF was broader. Meanwhile, the composites prepared with STFs and aramid fabrics exhibited better antistab properties than neat fabrics. Compared to composite prepared with irregularly shaped silica‐based STF, spherical silica‐based STF/aramid composite had better stabbing resistance. In addition to the binding effect of silica particles to the fiber bundle, it was considered that when the fabric composite was subjected to impact, spherical particles were easier to slide so that the STF was more likely to be thickened to achieve a greater viscosity, resulting in the better stabbing resistance performance. Our studies will provide guidance for the design of the high‐performance soft body armor equipment. © 2019 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2020, 137, 48809.
Hydrophobically modified nanocomposite hydrogels with self‐healing ability
Authors: Akca Ozge , Yetiskin Berkant , Okay Oguz 
Published: December 2019

ABSTRACTSeveral strategies have been developed in the past two decades to increase the mechanical performance of the hydrogels, and to generate self‐healing function within the polymer network. Here, we combine two of these strategies to create hydrophobically modified nanocomposite (NC) hydrogels with high mechanical strength and self‐healing efficiency. The hydrogels were prepared by in situ copolymerization of N,N‐dimethylacrylamide and n‐octadecyl acrylate (C18A) in the presence of 2 w/v % Laponite clay nanoparticles in an aqueous solution of worm‐like sodium dodecyl sulfate micelles. Incorporation of hydrophobic C18A segments into the gel network significantly increases both the storage and loss moduli of NC hydrogels indicating increasing elasticity and energy dissipation. An improvement in the mechanical performance and self‐recoverability of NC hydrogels was also observed after hydrophobic modification. The compressive fracture stress and Young's modulus increase with increasing amount of C18A, and they become 9 ± 1 MPa and 30 ± 2 kPa, respectively, at 4 mol % C18A. Incorporation of hydrophobic segments also provides a larger energy dissipation under large strain as compared to the traditional NC hydrogels providing a self‐healing efficiency of 90 ± 10% in mechanically strong NC hydrogels. © 2019 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2020, 137, 48853.
Cardiac and skeletal muscle changes associated with rosuvastatin therapy in dystrophic mdx mice
Authors: Finkler Júlia M.G. , de Carvalho Samara C. , Santo Neto Humberto , Marques Maria J. 
Published: December 2019

AbstractStatins are prescribed to prevent and treat atherosclerotic cardiovascular and metabolic diseases but have controversial effects on skeletal muscles. While statins are a reported cause of myopathy, some studies have suggested that statins could potentially ameliorate dystrophy due to their pleiotropic effects on inflammation, myonecrosis, and autophagy. In the present study, we evaluated the potential benefit of rosuvastatin treatment on heart, limb, and diaphragm muscles in dystrophin‐deficient mdx mice at an early stage (45 days of age) of disease. Mdx mice received rosuvastatin (10 mg/kg) by gavage for 30 days beginning at 15 days of age. Normal C57BL/10 mice received rosuvastatin by the same route over the same interval. In the mdx group, rosuvastatin significantly increased IgG‐positive fibers (myonecrosis) and the inflammatory areas in the biceps brachii and diaphragm muscles and decreased the anterior limb muscle force (grip strength). Molecular markers of inflammation (TNF‐α and NF‐kB) and fibrosis (fibronectin) were not altered by rosuvastatin in mdx mice skeletal and cardiac muscles. In normal mice, rosuvastatin increased CK, TNF‐α (heart), NF‐kB (diaphragm), and fibronectin (heart and diaphragm). Inflammatory areas were seen in all normal muscles of rosuvastatin‐treated mice. Rosuvastatin did not benefit dystrophy in the mdx mice and was associated with inflammation in normal cardiac and skeletal muscles.
Development of long‐persistent photoluminescent epoxy resin immobilized with europium (II)‐doped strontium aluminate
Authors: Khattab Tawfik A. , Abd El‐Aziz Mahmoud , Abdelrahman Meram S. , El‐Zawahry Manal , Kamel Samir 
Published: December 2019

AbstractA facile approach for possible industrial production of long‐persistent phosphorescence, continuing to emitting light for a long time period, smart cobbles were developed toward photoluminescent hard surfaces. The inorganic strontium aluminium oxide pigment doped with rare earth elements was added to a synthetic organic epoxy in the presence of polyamine as a hardener to make a phosphor‐loaded viscous fluid that can then be hardened in a few minutes. The transparency of the solid cobbles can be accomplished easily using homogeneous dispersion of the phosphor in the epoxy resin fluid before the addition of a hardener to avoid pigment aggregation. This pigment–epoxy formula can be easily applied industrially onto flagstones surfaces under ambient conditions. The photoluminescent cobblestones demonstrated an optimum excitation wavelength at 366 nm and an emission band at 521 nm with a long‐persistent phosphorescence cobble surface. The development of a translucent white colour under normal daylight, bright green under ultraviolet (UV) irradiation, bright white colour after 30 sec in the dark, and phosphorescent green colour after 75 min in the dark was indicated using Commission Internationale de l’Eclairage (CIE) Laboratory coloration measurements. The luminescent hard composite cobble exhibited a highly durable and reversible long‐persistent phosphorescence light. Photoluminescence, morphological, and hardness properties as well as the elemental composition of the prepared cobbles were explored.
Identification of a 7‐microRNA signature in plasma as promising biomarker for nasopharyngeal carcinoma detection
Authors: Zhang Huo , Zou Xuan , Wu Lirong , Zhang Shiyu , Wang Tongshan , Liu Ping , Zhu Wei , Zhu Jun 
Published: December 2019

AbstractBackgroundCirculating microRNAs (miRNAs) have become reliable sources of non‐invasive biomarkers for cancer diagnosis. Identification of promising miRNA biomarkers in plasma might benefit a lot to the detection of nasopharyngeal carcinoma (NPC).MethodsThe Exiqon miRNA qPCR panel was used in the screening stage to identify candidate miRNAs, which were further verified by quantitative reverse transcription polymerase chain reaction (qRT‐PCR) in the following three stages among plasma samples from 200 NPC patients and 189 healthy donors (as normal controls [NCs]). The identified miRNAs were further explored in tissue specimens (48 NPC vs 32 NCs) and plasma exosomes (32 NPC vs 32 NCs). Survival analyses were ultimately conducted by Cox regression models and Kaplan‐Meier curves using log‐rank tests.ResultsWe identified a 7‐miRNA signature including let‐7b‐5p, miR‐140‐3p, miR‐144‐3p, miR‐17‐5p, miR‐20a‐5p, miR‐20b‐5p, and miR‐205‐5p in plasma for NPC diagnosis after four‐stage validation. The areas under the receiver operating characteristic curve (AUCs) for the signature were 0.879, 0.884, 0.921, and 0.807 for the training, testing, external validation stage, and the combined three stages, respectively. In NPC tissues, miR‐144‐3p, miR‐17‐5p, miR‐20a‐5p, and miR‐205‐5p were consistently up‐regulated while let‐7b‐5p and miR‐140‐3p were significantly down‐regulated compared to NCs. However, none of the seven identified miRNAs were dysregulated in plasma‐derived exosomes in NPC patients. As to survival analysis, none of the seven miRNAs seemed to be associated with NPC prognosis.ConclusionWe identified a 7‐miRNA signature in plasma as promising non‐invasive biomarkers for NPC detection.
The extent of lymph node yield in central neck dissection can be affected by preoperative and intraoperative assessment and alter the prognosis of papillary thyroid carcinoma
Authors: Hu Jia‐Qian , Wen Duo , Ma Ben , Zhang Ting‐Ting , Liao Tian , Shi Xiao , Wang Yu‐Long , Zhu Yong‐Xue , Wang Yu , Wei Wen‐Jun , Ji Qing‐Hai 
Published: December 2019

AbstractBackgroundLymph node yield (LNY) was implemented in the stratification of papillary thyroid cancer (PTC) patients. The effect of LNY may be related to the extent of surgery. This study aims to identify influencing factors for LNY in central compartment neck dissection (CND).MethodsData of 13 712 consecutive PTC patients were analyzed retrospectively. Risk factors for LNY in CND and distribution characteristics of LNY were evaluated. Its relationship with prognosis was studied in another cohort of 136 cases.ResultsLNY in therapeutic CND was significantly higher than prophylactic CND (Unilateral: 5.55 ± 3.79 vs 3.41 ± 2.77; Bilateral: 8.90 ± 5.10 vs 6.47 ± 4.17, P < .001). Other independent factors included extranodal extension (ETE), tumor size, and concurrent Hashimoto's thyroiditis. The inconsistency distribution of LNY in bilateral CND was associated with preoperative and intraoperative assessment. Patients with significant difference between major and minor LNY suffered from poorer prognosis (10y‐RFS: 58.3% vs 92.0%; HR = 6.719, 95%, P < .0001).ConclusionsCND surgical procedure, ETE, and Hashimoto's thyroiditis were independent factors of LNY. Inconsistent distribution of LNY was associated with prognosis of bilateral PTC patients. The impact of preoperative and intraoperative assessment on the actual extent of CND can be used to explain the relationship between LNY and PTC prognosis.
Coronary vasospasm induced by cisplatin for seminoma
Authors: Sasaki Wataru , Wada Hiroshi , Sakakura Kenichi , Matsuda Jun , Ibe Tatsuro , Hayashi Takekuni , Ueba Hiroto , Momomura Shin‐ichi , Fujita Hideo 
Published: December 2019

AbstractVascular toxicity is one of serious complications following cisplatin‐based chemotherapy. This case suggests that cisplatin has a potential risk of delayed occurrence of vasospastic angina. It is important to perform careful history taking including discontinued drugs for differential diagnosis of chest pain.
NCBI's Conserved Domain Database and Tools for Protein Domain Analysis
Authors: Yang Mingzhang , Derbyshire Myra K. , Yamashita Roxanne A. , Marchler‐Bauer Aron 
Published: December 2019

AbstractThe Conserved Domain Database (CDD) is a freely available resource for the annotation of sequences with the locations of conserved protein domain footprints, as well as functional sites and motifs inferred from these footprints. It includes protein domain and protein family models curated in house by CDD staff, as well as imported from a variety of other sources. The latest CDD release (v3.17, April 2019) contains more than 57,000 domain models, of which almost 15,000 were curated by CDD staff. The CDD curation effort increases coverage and provides finer‐grained classifications of common and widely distributed protein domain families, for which a wealth of functional and structural data have become available. The CDD maintains both live search capabilities and an archive of pre‐computed domain annotations for a selected subset of sequences tracked by the NCBI's Entrez protein database. These can be retrieved or computed for a single sequence using CD‐Search or in bulk using Batch CD‐Search, or computed via standalone RPS‐BLAST plus the rpsbproc software package. The CDD can be accessed via https://www.ncbi.nlm.nih.gov/Structure/cdd/cdd.shtml. The three protocols listed here describe how to perform a CD‐Search (Basic Protocol 1), a Batch CD‐Search (Basic Protocol 2), and a Standalone RPS‐BLAST and rpsbproc (Basic Protocol 3). © 2019 The Authors.Basic Protocol 1: CD‐searchBasic Protocol 2: Batch CD‐searchBasic Protocol 3: Standalone RPS‐BLAST and rpsbproc
The MathIOmica Toolbox: General Analysis Utilities for Dynamic Omics Datasets
Authors: Mias George I. , Zheng Minzhang 
Published: December 2019

AbstractMathIOmica is a package for bioinformatics, written in the Wolfram language, that provides multiple utilities to facilitate the analysis of longitudinal data generated from omics experiments, including transcriptomics, proteomics, and metabolomics data, as well as any generalized time series. MathIOmica uses Mathematica's notebook interface, wherein users can import longitudinal datasets, carry out quality control and normalization, generate time series, and classify temporal trends. MathIOmica provides spectral methods based on periodograms and autocorrelations for automatically detecting classes of temporal behavior and allowing the user to visualize collective temporal behavior, and also assess biological significance through Gene Ontology and pathway enrichment analyses. MathIOmica's time‐series classification methods address common issues including missing data and uneven sampling in measurements. As such, the software is ideally suited for the analysis of experimental data from individualized profiling of subjects, can facilitate analysis of data from the emerging field of individualized health monitoring, and can detect temporal trends that may be associated with adverse health events. In this article, we import a transcriptomics (RNA‐sequencing) dataset collected over multiple timepoints and generate time series for each transcript represented in the data. We classify the time series to identify classes of significant temporal trends (using autocorrelations). We assess statistical significance cutoffs in the classification by generating null distributions using randomly resampled time series. We then visualize the significant trends in heatmaps and assess biological significance using enrichment analyses. Finally, we visualize pathway results for statistically significant pathways of interest. © 2019 by John Wiley & Sons, Inc.Basic Protocol: Time series analysis of transcriptomics expression dataset
Web service recommendation based on time‐aware users clustering and multi‐valued QoS prediction
Authors: Fayala Mayssa , Mezni Haithem 
Published: December 2019

SummaryWith the growing number of functionally similar services over the Internet, recommendation techniques become a natural choice to cope with the challenging task of optimal service selection, and to help consumers satisfy their needs and preferences. However, most existing models on service recommendation are static, while in the real world, the perception and popularity of Web services may continually change. Time is becoming an increasingly important factor in recommender systems since time effects influence users' preferences to a large extent. In order to help users with this problem, we propose a time‐aware Web service recommendation system. First, we use K‐means clustering method in order to exclude the less similar users, which share few common Web services with the active user at different times. Slope One algorithm is also adopted in order to deal with data sparsity problem by predicting the missing ratings over time. Then, a recommendation algorithm is presented in order to recommend the top‐rated Web services. Experiments proved the accuracy of our approach compared to five existing solutions.
Recent Advances in First‐Row Transition Metal Clusters for Photocatalytic Water Splitting
Authors: Chen Rong , Yan Zhi‐Hao , Kong Xiang‐Jian 
Published: December 2019

AbstractWater splitting based on first‐row transition metal (3d) photocatalysts is a cost‐effective technology for the conversion of abundant solar energy into useful energy on a large scale. The catalytic core of photosynthetic enzymes is a cubic CaMn4O5 cluster. Illuminated by natural photosynthesis, artificial solar water splitting photocatalysts composed of metal clusters are now being designed and tested. Ideally, such photocatalysts composed of atomically precise metal clusters with regular crystal structures are promising model catalysts that can be used to study structure–performance relationships. Recent advances based on metal cluster designs have improved our understanding of photoinduced charge separation and catalytic water redox reactions. This Minireview summarizes the recent advances in 3d metal cluster photocatalysts with well‐defined structures for photocatalytic water splitting and focuses on different clusters with tunable structures that are capable of achieving better photocatalytic properties.
Generalized AIC and chi‐squared statistics for path models consistent with directed acyclic graphs
Authors: Shipley Bill , Douma Jacob C. 
Published: December 2019

AbstractWe explain how to obtain a generalized maximum‐likelihood chi‐square statistic,, and a full‐model Akaike Information Criterion (AIC) statistic for piecewise structural equation modeling (SEM); that is, structural equations without latent variables whose causal topology can be represented as a directed acyclic graph (DAG). The full piecewise SEM is decomposed into submodels as a Markov network, each of which can have different distributional assumptions or functional links and that can be modeled by any method that produces maximum‐likelihood parameter estimates. The generalized is a function of the difference in the maximum likelihoods of the model and its saturated equivalent and the full‐model AIC is calculated by summing the AIC statistics of each of the submodels.
Α mass‐reduction design concept for seismic hazard mitigation
Authors: Charalampakis Aristotelis E. , Tsiatas George C. , Tsopelas Panos 
Published: December 2019

SummaryA mass reduction concept for seismic hazard mitigation is investigated herein. The proposed method is implemented through floating slabs, ie, slabs that have been seismically isolated from the skeleton of the structure. The investigation is based on time history analyses of MDOF models under scaled strong‐motion seismic records complying with an EC8 spectrum. The purpose of these slabs is twofold; for selected short isolation periods, they act as a mass‐damping system for the overall response of the structure, employing significantly more mass than traditional TMDs, while for longer isolation periods they provide seismic protection on their contents while effectively reducing the seismic mass of the structure. In the latter case, it is found that the response of the skeleton can be evaluated accurately from a corresponding reduced‐mass model. The proposed design method does not necessarily aim at replacing existing seismic design approaches; it rather provides design versatility in the hands of the practicing engineers.
Empowering Better End‐of‐Life Dementia Care (EMBED‐Care): A mixed methods protocol to achieve integrated person‐centred care across settings
Authors: Sampson Elizabeth L. , Anderson Janet E. , Candy Bridget , Davies Nathan , Ellis‐Smith Clare , Gola Anna , Harding Richard , Kenten Charlotte , Kupeli Nuriye , Mead Simon , Moore Kirsten J. , Omar Rumana Z. , Sleeman Katherine E. , Stewart Robert , Ward Jane , Warren Jason D. , Evans Catherine J. 
Published: December 2019

ObjectivesGlobally, the number of people with dementia who have palliative care needs will increase fourfold over the next 40 years. The Empowering Better End‐of‐Life Dementia Care (EMBED‐Care) Programme aims to deliver a step change in care through a large sequential study, spanning multiple work streams.MethodsWe will use mixed methods across settings where people with dementia live and die: their own homes, care homes, and hospitals. Beginning with policy syntheses and reviews of interventions, we will develop a conceptual framework and underpinning theory of change. We will use linked data sets to explore current service use, care transitions, and inequalities and predict future need for end‐of‐life dementia care. Longitudinal cohort studies of people with dementia (including young onset and prion dementias) and their carers will describe care transitions, quality of life, symptoms, formal and informal care provision, and costs. Data will be synthesised, underpinned by the Knowledge‐to‐Action Implementation Framework, to design a novel complex intervention to support assessment, decision making, and communication between patients, carers, and inter‐professional teams. This will be feasibility and pilot tested in UK settings. Patient and public involvement and engagement, innovative work with artists, policymakers, and third sector organisations are embedded to drive impact. We will build research capacity and develop an international network for excellence in dementia palliative care.ConclusionsEMBED‐Care will help us understand current and future need, develop novel cost‐effective care innovations, build research capacity, and promote international collaborations in research and practice to ensure people live and die well with dementia.
Macroeconomic news, public communications, and foreign exchange jumps around U.S. and European financial crises
Authors: Ayadi Mohamed A. , Ben Omrane Walid , Wang Jiahui , Welch Robert 
Published: December 2019

AbstractJumps in the Euro, Pound, and Yen, based on 5‐minute returns for the period 2004–2015, are shown to be state dependent between recessions and expansions in their response to macroeconomic news announcements and speeches by treasury and central bank senior officials. We find evidence of large jumps and cojumps response to the Federal Open Market Committee rate decision consistently over economic states. U.S. news is more important than EU news and jump magnitude and probability exhibit positive responses. Federal Reserve senior officials' speeches generate more jumps during the U.S. mortgage crisis and the EU sovereign debt recession. Although public communications of some European Central Bank and Bank of England senior officials cause fewer jumps, they produce significant cojumps of the three major currency markets.
ESTIMATION OF GROUNDWATER RECHARGE ORIGINATING FROM AGRICULTURAL IRRIGATION AND RAINFALL IN SHYRAMYN PLAIN, IRAN
Authors: Pahlevani Majdabady Marjan , Rasoulzadeh Ali , Kanooni Amin , Ahmadzadeh Gholamreza 
Published: December 2019

AbstractGroundwater recharge from rainfall and return flow of irrigation are essential for sustainable water resources management. There are many ways to estimate groundwater recharge. Most of them require a lot of field data, which limits their application in practice. To overcome this limitation, the rainfall infiltration breakthrough (RIB) model has been applied, which has the potential for estimating recharge using only rainfall, pumping rate, specific yield and groundwater level data in a semi‐arid region, the Shyramyn area, Iran. The groundwater recharge from rainfall (r) and the return flow of irrigation (λ) were estimated using the RIB model. Results of this effort indicated that the value of r varied around a ratio of 24.6% across the site, with a minimum and maximum of 1.1 and 27.0%, respectively, while λ varied with a minimum and maximum value of 0.0 and 33.0%, respectively.For the estimation of groundwater recharge most emphasis was usually put on recharge from rainfall. However, the findings of this study indicate that recharge from the return flow of irrigation played a major role in groundwater recharge and was 66.3% more than the recharge from rainfall. We hypothesize that this is a common process in similar areas where surface irrigation is applied. © 2019 John Wiley & Sons, Ltd.