bluuebunny/crossref_metadata_2025_split huggingface dataset:
Final five‐year results of the REMEDEE Registry: Real‐world experience with the dual‐therapy COMBO stent
Authors: Kerkmeijer Laura S.M. , Chandrasekhar Jaya , Kalkman Deborah N. , Woudstra Pier , Menown Ian B.A. , Suryapranata Harry , den Heijer Peter , Iñiguez Andrés , van 't Hof Arnoud W.J. , Erglis Andrejs , Arkenbout Karin E. , Muller Philippe , Koch Karel T. , Tijssen Jan G. , Beijk Marcel A.M. , de Winter Robbert J. 
Published: October 2020

AbstractObjectivesThis final report from the REMEDEE Registry assessed the long‐term safety and efficacy of the dual‐therapy COMBO stent in a large unselected patient population.BackgroundThe bio‐engineered COMBO stent (OrbusNeich Medical BV, The Netherlands) is a dual‐therapy pro‐healing stent. Data of long‐term safety and efficacy of the this stent is lacking.MethodsThe prospective, multicenter, investigator‐initiated REMEDEE Registry evaluated clinical outcomes after COMBO stent implantation in daily clinical practice. One thousand patients were enrolled between June 2013 and March 2014.ResultsFive‐year follow‐up data were obtained in 97.2% of patients. At 5‐years, target lesion failure (TLF) (composite of cardiac death, target‐vessel myocardial infarction, or target lesion revascularization) was present in 145 patients (14.8%). Definite or probable stent thrombosis (ST) occurred in 0.9%, with no additional case beyond 3‐years of follow‐up. In males, 5‐year TLF‐rate was 15.6 versus 12.6% in females (p = .22). Patients without diabetes mellitus (DM) had TLF‐rate of 11.4%, noninsulin‐treated DM 22.7% (p = .001) and insulin‐treated DM 41.2% (p < .001). Patients presenting with non‐ST segment elevation acute coronary syndrome (NSTE‐ACS) had higher incidence of TLF compared to non‐ACS (20.4 vs. 13.3%; p = .008), while incidence with STE‐ACS was comparable to non‐ACS (10.7 vs. 13.3%; p = .43).ConclusionPercutaneous coronary intervention with the dual‐therapy COMBO stent in unselected patient population shows low rates of TLF and ST to 5 years. Remarkably, no case of ST was noted beyond 3 years.
Combined use of intravascular lithotripsy and brachytherapy: A new approach for the treatment of recurrent coronary in‐stent restenosis
Authors: Nikolakopoulos Ilias , Vemmou Evangelia , Xenogiannis Iosif , Brilakis Emmanouil S. 
Published: October 2020

AbstractTreatment of coronary in‐stent restenosis (ISR) is challenging and often requires combination of multiple treatment modalities. Coronary intravascular lithotripsy (IVL) has been successfully used for treating stent under‐expansion, but is not currently commercially available in the United States. We present three recurrent coronary ISR cases in which multiple treatment modalities (high‐pressure balloon inflation, plaque modification balloons, and laser with contrast injection) failed. These patients were treated with a combination of IVL (peripheral IVL catheter used off‐label in the coronary arteries) and brachytherapy. Due to the high IVL balloon profile, delivery via femoral or radial access was challenging, requiring 7–8 French guide catheters. IVL was performed delivering 4–8 treatments of 20 pulses each with a favorable final angiographic and intravascular ultrasound result. All patients were angina free 1 month after the procedure.
Absorption and metabolism of modified mycotoxins of alternariol, alternariol monomethyl ether, and zearalenone in Caco‐2 cells
Authors: Appel (Kohn) Beate Nadine , Gottmann Jörg , Schäfer Judith , Bunzel Mirko 
Published: October 2020

AbstractBackground and objectivesVarious cereals, fruits, and vegetables are commonly contaminated with mycotoxins such as zearalenone (ZEN), alternariol (AOH), and alternariol monomethyl ether (AME). More recently, their glucosidic metabolites formed in the plant have gained increasing attention. Experimental data on the contribution of modified mycotoxins to total toxicity are either controversy or lacking. Thus, the aim of this study was to investigate the absorption and metabolism of ZEN‐, AOH‐, and AME‐glucosides using the Caco‐2 cell system.FindingsNo quantifiable amounts of ZEN‐14‐glucoside, ZEN‐16‐glucoside, free ZEN, and ZEN metabolites were found in Caco‐2 cells and in the basolateral compartment. In contrast, glucosides of AOH and AME were absorbed and released their parental toxins, which were further metabolized to form glucuronides and sulfates to a variable extent. Metabolites were found on the basolateral site, too. There is also evidence that AOH‐9‐diglucoside is hydrolyzed to AOH‐9‐glucoside.ConclusionOur results demonstrate that modified ZEN is less absorbed whereas modified Alternaria toxins are taken up to a higher extent by Caco‐2 cells, followed by deglucosylation, metabolization, and transport to the basolateral site, suggesting a potential contribution to overall toxicity of these modified mycotoxins.Significance and noveltyFor the first time, absorption studies using modified Alternaria toxins in the Caco‐2 cell system were carried out.
A Nanocomposite of Si@C Nanosphere and Hollow Porous Co9S8/C Polyhedron as High‐Performance Anode for Lithium‐Ion Battery
Authors: Yuan Chao , Lu Dujiang , An Yongling , Bian Xiufang 
Published: October 2020

AbstractSilicon (Si) is regarded as one of the most promising anode materials for lithium‐ion batteries (LIBs) due to its high capacity and low working voltage. However, dramatic volume expansion and inferior electrical conductivity greatly impede the commercial use of Si anodes. Herein, we design and synthesize a novel nanocomposite of Si nanosphere coated by carbon (Si@C) and hollow porous Co9S8/C polyhedron (Si@C−Co9S8/C). The hollow porous Co9S8/C derived from Co‐based zeolitic imidazolate framework can serve as a buffering matrix to accommodate the volume expansion of Si, which is beneficial to improve the cycle performance. The vast conductive carbon layer originated from Co9S8/C and Si@C plays a key role in accelerating the electron transfer and lithium ion transport kinetics, which can significantly enhance the rate performance. As a result, the Si@C−Co9S8/C anodes deliver stable cycle performance with a reversible capacity of 1399 mA h g−1 after 200 cycles at 100 mA g−1, improved rate performance and high Coulombic efficiency. This simple route sheds light on designing Si‐based composites for LIBs anodes.
Study of morphological and textural features for classification of oral squamous cell carcinoma by traditional machine learning techniques
Authors: Rahman Tabassum Yesmin , Mahanta Lipi B. , Choudhury Hiten , Das Anup K. , Sarma Jagannath D. 
Published: October 2020

AbstractBackgroundOral squamous cell carcinoma (OSCC) is the most prevalent form of oral cancer. Very few researches have been carried out for the automatic diagnosis of OSCC using artificial intelligence techniques. Though biopsy is the ultimate test for cancer diagnosis, analyzing a biopsy report is a very much challenging task. To develop computer‐assisted software that will diagnose cancerous cells automatically is very important and also a major need of the hour.AimTo identify OSCC based on morphological and textural features of hand‐cropped cell nuclei by traditional machine learning methods.MethodsIn this study, a structure for semi‐automated detection and classification of oral cancer from microscopic biopsy images of OSCC, using clinically significant and biologically interpretable morphological and textural features, are examined and proposed. Forty biopsy slides were used for the study from which a total of 452 hand‐cropped cell nuclei has been considered for morphological and textural feature extraction and further analysis. After making a comparative analysis of commonly used methods in the segmentation technique, a combined technique is proposed. Our proposed methodology achieves the best segmentation of the nuclei. Henceforth the features extracted were fed into five classifiers, support vector machine, logistic regression, linear discriminant, k‐nearest neighbors and decision tree classifier. Classifiers were also analyzed by training time. Another contribution of the study is a large indigenous cell level dataset of OSCC biopsy images.ResultsWe achieved 99.78% accuracy applying decision tree classifier in classifying OSCC using morphological and textural features.ConclusionIt is found that both morphological and textural features play a very important role in OSCC diagnosis. It is hoped that this type of framework will help the clinicians/pathologists in OSCC diagnosis.
Leptomeningeal relapse in primary cutaneous DLBCL: Implications for a prophylactic CNS therapy
Authors: Sundriyal Deepak , Arya Lima , Srivastava Ruchi , Walia Meenu , Sehrawat Amit 
Published: October 2020

AbstractBackgroundIsolated leptomeningeal relapse in a case of cutaneous lymphoma is an uncommon event more so in a case of primary cutaneous diffuse large B‐cell lymphoma (PCDLBCL). This phenomenon is of great significance as the subsequent prognosis becomes poor and the prophylactic central nervous system (CNS) therapy if administered, can reduce the chances of relapse, however, the survival benefit remains uncertain. The role of prophylactic CNS therapy is not well defined in the case of PCDLBCL.CaseWe report a case of PCDLBCL leg type with a low CNS International Prognostic Index (CNS‐IPI) risk, who developed isolated leptomeningeal relapse in the form of bilateral facial nerve palsy. He was managed by 2nd line chemotherapy and CNS directed therapy and achieved complete remission.ConclusionPCDLBCL leg type is an aggressive malignancy. Molecular/genomic mechanism likely responsible for CNS dissemination should be identified by prospective multi‐centric studies that can better define the subsets of patients eligible for prophylactic therapy in the absence of a high CNS‐IPI risk.
Community detection using multitopology and attributes in social networks
Authors: Liu Changzheng , Huang Fengling , Li Ruixuan , Yang Qi , Li Yuhua , Yu Shui 
Published: October 2020

SummaryCommunity detection is a fundamental research problem in social networks. However, most existing research focuses on homogeneous networks while ignoring the multitopology and attributes in social media. In this article, we propose community detection algorithms based on community kernels to detect high‐quality communities in heterogeneous social networks. It is noticed that the social community has multiple topology structures, as nodes or users in social media networks have multiple attributions. For example, users can be friends and coworkers in a research group simultaneously. Hence, we propose a multilayer and attribute combined measure (MACM), a novel measurement based on the multilayer structure and common neighboring attributes, which includes the similarity measure between nodes and the importance measure for individual node in multilayer networks. Two improved community kernel detection algorithms based on MACM are subsequently proposed. They are the MA‐Greedy, which is based on the greedy algorithm, and the MA‐WeBA, which is a weighted balanced algorithm. The multilayer structure and attributes are comprehensively considered when calculating the similarity and importance of nodes in these strategies. Extensive experimental results on two public data sets demonstrate that the multilayer structure and attribute information can be used to enhance the precision of community detection.
Reflections and Actions for Creating an Inclusive Research Environment
Authors: Dewsbury Bryan , Seidel Shannon 
Published: October 2020

AbstractIn order for the scientific enterprise to ensure equitable participation for all identities, the settings of professional research labs must cultivate an environment that is inclusive of all backgrounds. We explore here strategies to consider for research labs interested in cultivating inclusive environments. Investigators enacting inclusive strategies must understand the social context of the lab members and their reasons for engaging in science research. For this to be authentic, principal investigators should spend time exploring their own social positioning as well as the purpose of their professional engagement. We unpack the philosophies behind these constructs and provide specific suggestions to prepare individuals to fully engage in the practice of inclusive mentoring in science research labs. © 2020 Wiley Periodicals LLC.
Subgenome contributions to quantitative genetic variation in bread wheat and durum wheat populations
Authors: Bernardo Rex 
Published: October 2020

AbstractBread wheat (Triticum aestivum L.) has the A, B, and D genomes, whereas durum wheat (Triticum turgidum L. ssp. durum) has the A and B genomes. This study aimed to assess the usefulness of the square of predictive ability for subgenome i [rMP(i)2] for estimating subgenome contributions to trait variation and to determine which subgenomes in bread wheat and durum wheat populations had the largest and smallest contributions for different traits. Phenotypic and marker data were obtained for four populations used in published studies to map quantitative trait loci (QTL). Subgenome rMP(i) was calculated by analyzing only the markers within each subgenome. Clear differences were found in subgenome contributions for several but not all traits in the populations studied. In the Louise × Penawawa bread wheat population, the rMP(i)2 values indicated that the B genome had the largest contribution to variation for milling and baking quality traits, and these results were consistent with prior results showing QTL for such traits on chromosome 3B. For yield, no significant differences in subgenome contributions were found in any of the populations. The D genome, despite its lower polymorphism, had the largest rMP(i)2 for heading date in the ‘Seri’ × ‘Babax’ bread wheat population. In a bread wheat association mapping panel, the rMP(i)2 values were problematic in that their sum exceeded 1.0 and the subgenome rMP(i) values were not significantly different from the whole‐genome rMP. This result was probably caused by linkage disequilibrium between markers found in different subgenomes in the association mapping panel.
Sustainable Carbons and Fuels: Recent Advances of CO2 Conversion in Molten Salts
Authors: Yu Ao , Ma Guoming , Ren Jiawen , Peng Ping , Li Fang‐Fang 
Published: October 2020

AbstractThe massive release of the greenhouse gas CO2 has resulted in numerous environmental issues. In searching for advanced technologies for CO2 capture/conversions, recent advances in electrochemical reduction of CO2 in molten salts shed a light on potential solutions to CO2 mitigation. Electro‐reduction of CO2 in molten salts exhibits features like high selectivity and efficiency towards sustainable carbons and fuels, low toxicity, and possibility to combine with in situ CO2 capture. In this Minireview, we highlight the tuning of the products in this process and mainly discuss two categories of electrolyte, carbonate‐based molten salts (CMS) and those based on halides (HMS). Depending on the synthetic conditions, fuels such as CO or hydrocarbons (in the presence of hydrogen source, i. e., LiOH, NaOH, or KOH in the electrolyte) as well as high‐value nanostructured carbons including carbon nanotubes, carbon nanofibers, carbon nano‐onions, and graphene can be obtained with high efficiency. The synthesis parameters are compared, and the applications of as‐obtained carbons are briefly summarized. Additionally, some perspectives on this technology are also discussed.
Habitat characterization and species distribution model of the only large‐lake population of the endangered Silver Chub (Macrhybopsis storeriana, Kirtland 1844)
Authors: McKenna James E. , Kocovsky Patrick M. 
Published: October 2020

AbstractThe endangered Silver Chub (Macrhybopsis storeriana,Kirtland 1844) is native to North America and primarily riverine, with the only known large‐lake population in Lake Erie. Once a major component of the Lake Erie fish community, it declined and became nearly extirpated in the mid‐1900s. Recent collections in western Lake Erie suggest that Silver Chub may be able to recover, but their habitat and distribution are poorly known. A recent work showed an extensive area of western Lake Erie with the potential to support large numbers of Silver Chub, but was based on a geographically limited dataset. We developed a neural network‐based species distribution model for the Silver Chub in western Lake Erie, improved by new synoptic data and using habitat variables resistant to anthropogenic activities. The Potential model predictions were compared with a model that included anthropogenic‐sensitive variables. The Potential model used 10 habitat variables and performed well, explaining > 99% of data variation and had generally low error rates. Predictions indicated that a large area of the waters approximately 2–9 m deep contained Appropriate habitat and the highest abundances should be supported by habitat in a wide arc through the western end of the basin. The model indicated that Appropriate Silver Chub habitat was associated with relatively deep water, near coastal wetlands, where effective fetch is less than average. Disturbance model predictions were similar, but predicted poorer Silver Chub habitat in more areas than that predicted by the Potential model. Our Potential model reveals Appropriate habitat conditions for Silver Chub and its spatial distribution, indicating that extensive areas of western Lake Erie could support Silver Chub. Comparisons with Disturbance model predictions demonstrate that Potential model predictions may be used in conjunction with analyses of degrading conditions in the system to better conserve and manage for this endangered species.
Hemolymph composition, gene expressions in the gills, and thus the survival of euryhaline crabs are controlled by ambient minor cations according to osmotic condition‐dependent manner
Authors: Yamaguchi Masahiro , Soga Kouichi 
Published: October 2020

AbstractNa+ and Cl− are the most abundant dissolved ions in seawater, constituting ~ 85% of total ions. They significantly affect the osmolality of body fluids of marine invertebrates. Seawater also contains minor ions such as Mg2+, Ca2+, K+, and SO42‐ , but their effects on marine organisms are unclear. This study analyzed the effects of Mg2+, Ca2+, and K+ (ambient minor cations) on survival, hemolymph ionic composition, and gene expression in the gills of three euryhaline crabs: Helice tridens, Macrophthalmus japonicus, and Chiromantes dehaani. Ambient minor cations were required for survival of H. tridens and M. japonicus under isosmotic conditions with seawater. The ambient minor cations also affected the osmolality and ionic composition of hemolymph by regulating expressions of specific genes in the gills required for Na+ uptake, such as Na+/K+ ATPase, cytoplasmic carbonic anhydrase, and Na+/H+ exchanger. Administration of carbonic anhydrase and Na+/H+ exchanger inhibitors increased the survival rate even if ambient minor cations did not exist. In contrast, under hypo‐osmotic conditions, ambient minor cations had different effects on crabs, a lethal effect on M. japonicus, and an increase of the hemolymph K+ concentration in H. tridens and M. japonicus. It is thus concluded that the effects of ambient minor cations are osmolality‐dependent. In contrast, in C. dehaani, the hemolymph ionic composition and survival rate were hardly affected by ambient minor cations, probably reflecting the habitat of this species. These results strongly indicated that C. dehaani is less susceptive to ambient minor cations compared to H. tridens and M. japonicus.
Climate change drives habitat contraction of a nocturnal arboreal marsupial at its physiological limits
Authors: Wagner Benjamin , Baker Patrick J. , Stewart Stephen B. , Lumsden Linda F. , Nelson Jenny L. , Cripps Jemma K. , Durkin Louise K. , Scroggie Michael P. , Nitschke Craig R. 
Published: October 2020

AbstractIncreasing impacts of climatic change and anthropogenic disturbances on natural ecosystems are leading to population declines or extinctions of many species worldwide. In Australia, recent climatic change has caused population declines in some native fauna. The projected increase in mean annual temperature by up to 4°C by the end of the 21st century is expected to exacerbate these trends. The greater glider (Petauroides volans), Australia’s largest gliding marsupial, is widely distributed along the eastern coast, but has recently experienced drastic declines in population numbers. Its association with hollow‐bearing trees, used for nesting, has made it an important species for the conservation of old‐growth forest ecosystems. Fires and timber harvesting have been identified as threats to the species. Greater gliders have disappeared however from areas that have experienced neither raising questions about the role of other factors in their decline. A unique physiology and strictEucalyptusdiet make them vulnerable to high temperatures and low water availability. As such, climatic conditions may drive habitat selection and recent climatic trends may be contributing to observed population declines. Using presence:absence data from across its distribution in Victoria, coupled with high spatial and temporal resolution climatic data and machine‐learning modeling, we tested the influence of climatic, topographic, edaphic, biotic, and disturbance variables on greater glider occupancy and habitat suitability. We found that climatic variables, particularly those related to aridity and extreme weather conditions, such as number of nights warmer than 20°C, were highly significant predictors of greater glider occurrence. Climatic conditions associated with habitat suitability have changed over time, with increasing aridity across much of its southeastern distribution. These changes in climate are closely aligned with observed population declines across this region. At higher elevation, some areas where the greater glider is observed at high densities, conditions have become wetter, which is improving habitat quality. These areas are of growing significance to greater glider conservation as they will become increasingly important as climatic refugia in the coming decades. Protecting these areas of habitat will be critical for facilitating the conservation of greater gliders as the broader landscape becomes less hospitable under future climatic change.