bluuebunny/crossref_metadata_2025_split huggingface dataset:
Incidence, predictors and impact of stroke on mortality among patients with acute coronary syndromes following percutaneous coronary intervention—Results from the PROMETHEUS registry
Authors: Chandiramani Rishi , Chen Huazhen , Aoi Shunsuke , Giustino Gennaro , Claessen Bimmer , Sartori Samantha , Aquino Melissa , Sorrentino Sabato , Cao Davide , Goel Ridhima , Kini Annapoorna , Rao Sunil , Weintraub William , Henry Timothy D. , Kapadia Samir , DeFranco Anthony , Muhlestein Joseph B. , Toma Catalin , Effron Mark B. , Keller Stuart , Baker Brian A. , Pocock Stuart , Baber Usman , Mehran Roxana 
Published: June 2019

AbstractBackgroundStroke represents a potentially calamitous complication among patients with acute coronary syndrome (ACS) undergoing percutaneous intervention (PCI). Data on the distribution of stroke occurrence post‐PCI and its impact on mortality are scarce.ObjectivesWe sought to determine the incidence, predictors and impact of stroke on mortality in ACS patients undergoing PCI.MethodsA total of 19,914 ACS patients underwent PCI in the PROMETHEUS multicenter observational study. We calculated the cumulative stroke incidence at 30 days and 1 year using the Kaplan Meier method. We also compared the distribution of stroke, myocardial infarction (MI), and bleeding across time and evaluated their overlap. Predictors of stroke were identified through multivariable Cox‐regression. Stroke, MI, and bleeding were assessed as time‐updated covariates to estimate how each impacts subsequent mortality.ResultsWe found that 244 patients had a stroke within 1 year, a cumulative incidence of 1.5%. Previous cerebrovascular disease was the strongest predictor for post‐PCI stroke, followed by ST‐elevation MI presentation, hypertension, non‐ST‐elevation MI presentation, smoking, female sex, and age. Mortality risk was significantly higher among those who had a stroke versus those who did not (adjusted HR 4.84, p < .0001). However, the association attenuated over time with a much larger effect in the first 30 days of its occurrence (adjusted HR 17.7; 95% CI: 12.3–25.4, p < .0001) versus beyond 30 days (adjusted HR 1.22; 95% CI: 0.6–2.46, p = .58).ConclusionsStroke occurrence within 1 year was not uncommon for ACS patients undergoing PCI. When compared with MI and bleeding, stroke had a substantial impact on mortality that attenuated rapidly over time.
Acne keloidalis in an Asian female patient
Authors: Togo Sayaka , Sugawara Koji , Tsuruta Daisuke 
Published: June 2019

AbstractAlthough AK is uncommon in Asians, this diagnosis must be suspected if specific clinical picture is seen. Early treatment is advised to avoid scarring alopecia but to avoid firmness of these plaques. Although we need to further investigate, IL‐6 could be a new target for the development of novel treatments.
Nucleophilic Isomerization of Epoxides by Pincer‐Rhodium Catalysts: Activity Increase and Mechanistic Insights
Authors: Tian Yingying , Jürgens Eva , Mill Katharina , Jordan Ronja , Maulbetsch Theo , Kunz Doris 
Published: June 2019

AbstractHerein, we present the efficient isomerization of epoxides into methyl ketones with a novel pincer‐rhodium complex under very mild conditions. The catalyst system has an excellent functional group tolerance and a wide array of epoxides was tested. The corresponding methyl ketones were obtained in very high yields with excellent chemo‐ and regioselectivity. In addition, we investigated mechanistic details like the isomerization of the catalyst, and we obtained evidence that the catalytic cycle follows a β‐hydride elimination‐reductive elimination pathway after the nucleophilic ring opening of the epoxide.
Effective Hydrogenolysis of Glycerol to 1,3‐Propanediol over Metal‐Acid Concerted Pt/WOx/Al2O3 Catalysts
Authors: Lei Nian , Zhao Xiaochen , Hou Baolin , Yang Man , Zhou Maoxiang , Liu Fei , Wang Aiqin , Zhang Tao 
Published: June 2019

AbstractSelective cleavage of secondary C−O bond is an important yet challenging strategy in glycerol valorization, and the product 1,3‐propanediol (1,3‐PDO) is of great value in polyester industry. Herein, we report a series of Pt/WOx/Al2O3 catalysts for selective hydrogenolysis of glycerol in a fixed‐bed reactor and obtain the highest space‐time yield of 1,3‐PDO (191.7*10−3 g1,3‐PDO h−1 g−1cat.) to date. Both Pt and W have substantial effects on the 1,3‐PDO yield with the optimum Pt/W atomic ratio of 1/2∼1/4. Spectroscopy characterizations as well as chemisorption experiments reveal that at the medium domain size of WOx, hydrogen spillover can take place to the greatest extent due to the improved dispersion of Pt and the suitable reducibility of WOx. Dehydration/dehydrogenation tests of 2‐butanol suggest that strong Brønsted acid sites are created via hydrogen dissociation at the Pt−WOx interface and spillover to the neighboring oxygen atom. Such in situ formed protons are critical to the selective cleavage of secondary C−O bonds of polyols.
Facile Carbon Fluoride/Sulfur Hybrid Cathode for High‐Rate Lithium Batteries
Authors: Peng Sikan , Wang Chen , Yan Shaojiu , Wang Nan , Wang Jixian , Dai Shenglong 
Published: June 2019

AbstractA win‐win design and application of carbon fluoride/sulfur (CFx/S) hybrid cathode is demonstrated successfully for both high‐rate primary lithium/carbon fluoride battery and secondary lithium sulfur (Li−S) battery for the first time. Ex situ X‐ray diffraction and Raman analyses are involved to shed light on the discharge mechanism of the CFx/S cathode. The maximum power density breaks through 32023 W kg−1 within the primary discharge by the low fluorine content CFx/S cathode. The high‐fluorine content one can retain an appreciable reversible capacity after 200 cycles at ultra‐fast rate of over 10 C. To the best of our knowledge, it is the first time investigating the effect of CFx as a sulfur carrier in Li−S batteries. This facile and effective strategy of CFx/S hybrid cathode opens a new avenue for high performance lithium batteries.
Enabling chiral separations in discovery chemistry with open‐access chiral supercritical fluid chromatography
Authors: Michaels Philip , Neef James , Galyan Keith , Ginsburg‐Moraff Carol , Zhou Xilin , Dunstan David , Poirier Jennifer , Reilly John 
Published: June 2019

AbstractWork from this paper details a novel walk‐up open‐access (OA) approach to enable chiral analytical method development and preparative separation of enantiomers in early discovery chemistry using supercritical fluid chromatography (SFC). We have demonstrated the success of this OA approach using immobilized chiral stationary phases (CSPs). After screening a diverse set of racemic drug candidates, we have concluded that a simplified OA chiral SFC platform can successfully purify approximately 60% of the analysed racemates. This streamlined OA workflow enables medicinal chemists with limited expertise in chiral method development to successfully and rapidly purify enantiomers for their projects using Waters UPC2 and Prep100‐SFC instrumentation.
Entity emotion mining in social media environment
Authors: Fu Xuefeng , Luo Xiangfeng , Guo Yike 
Published: June 2019

SummaryWith the thriving of the social media (eg, Sina Microblog and Twitter), the public is keen on expressing their opinions or views on entities as celebrities and products. Emotion mining on social media can be applied in diverse areas, such as helping government or organizations understand people's attitudes so as to make right decisions for business services or political campaigns. One kind of the mainstream approaches for emotion mining are based on topic models, while most of these existing approaches aim at analyzing entire sentiments for the whole Microblog, rather than explicitly assigning the relevant sentiments to the specific entities. In addition, topic model is mainly based on the bag‐of‐words model but ignores the semantic relations of entity‐word in the modeling process, which brings low accuracy and poor interpretability to the sentiment analysis. To overcome the aforementioned difficulties, an Entity Sentiment Topic Model (ESTM) is proposed, which carries out entity‐dependent sentiment analysis. To improve the accuracy of sentiment analysis and enhance the interpretability of the results, ESTM is integrated with relations of entity‐word and a six‐dimensional emotion lexicon as weakly supervised information. Experiments have shown promising results on sentiment classification accuracy, interpretability, and quality of coherent topics for entities.
A dynamic wrapper‐based feature selection for improved precision in content‐based image retrieval
Authors: Sankar K. , Uma Maheswari P. 
Published: June 2019

SummaryThe content‐based image retrieval (CBIR) has been applied in the image processing as well as pattern recognition. A challenging task in the CBIR research has been through the feature extraction for decreasing any semantic gap that is an active research topic. Here, in this work, there is a texture feature that is extracted from an image, making use of a technique of curvelet transform. This curvelet is selected for a sparse representation that is quite critical for the estimation of images, which have been de‐noised with some inversed problems. The wrapping‐based curvelet transform will be even more robust as well as faster in the time of computation than the Ridge Transform. A technique of feature selection will be brought for selecting the optimal features. The correlation‐based feature selection (CFS) method has been adapted for improving the accuracy of the CBIR systems. The non‐deterministic polynomial (NP)–hard problems may be solved using the chemical reaction optimization (CRO) that has been motivated using the technique of chemical reaction. The benefits of proposed method is a necessity for marginal human intrusion for the purpose of retrieving the images needed from its database. The proposed mechanism has been again assessed depending on the Coral Database, and a performance study is ended using precision, f measure, and recall.
Image enhancement in embedded devices for internet of things
Authors: Jeon Gwanggil , Pasupa Kitsuchart , Anisetti Marco , Ahmad Awais 
Published: June 2019

SummaryThis paper proposes a new color interpolation method which can be used in embedded devices for IoT system. In this work, we use regression approach for generating and designing filters to restore color image. The filters are designed with four sizes, 5x5 training filter, 7x7 training filter, 9x9 training filter, and 11x11 training filter. The obtained filters are tested in 25 LC dataset to assess the performance. Experimental results inform that the proposed filters provide outstanding performance when they are compared with conventional methods. As compared with the other methods, the proposed filters produce the best average interpolation performance both objectively and visually.
Innovation strategies of energy firms
Authors: Costa‐Campi María Teresa , Duch‐Brown Néstor , García‐Quevedo José 
Published: June 2019

AbstractInvestment by energy firms in innovation can have substantial economic and environmental impacts and benefits. Firms engage in innovation for different reasons. The main objective of this paper is to analyse the role that the different innovation objectives have on firms' decisions to invest in each of three types of innovation activity: namely, internal R&D, external R&D, and the acquisition of advanced machinery, equipment, or software. We consider four objectives: process innovation, product innovation, reducing environmental impact, and meeting regulatory requirements. With this approach, we examine how energy firms innovate to reduce their environmental impact in comparison with other innovation objectives. In carrying out the empirical analysis, we draw on data for private energy firms included in the Spanish Technological Innovation Panel for the period 2004–2016. In the empirical analysis, we take the potential persistence of innovation activities into account and we use multivariate probit models to control for possible complementarities between the different R&D and innovation investments. Our results show that internal and external R&D are undertaken to address environmental objectives and to meet regulatory requirements whereas the acquisition of advanced machinery has the purpose of developing process innovations.
Utility of endoscopic ultrasound‐guided fine‐needle aspiration cytology in rapid on‐site evaluation for the diagnosis of gastric submucosal tumors: Retrospective analysis of a single‐center experience
Authors: Sandoh Kaori , Ishida Mitsuaki , Okano Kimiaki , Miyasaka Chika , Mori Shigeo , Tokuhara Mitsuo , Suzuki Ryou , Okazaki Takashi , Nakamura Naohiro , Tsuta Koji 
Published: June 2019

AbstractBackgroundRecently, there have been reports of endoscopic ultrasound‐guided fine‐needle aspiration (EUS‐FNA) cytology being used for the diagnosis of various kinds of tumors. This method has also been adopted in the diagnosis of gastric submucosal tumors (SMTs). The aim of this study was to analyze the utility of EUS‐FNA cytological examination in rapid on‐site evaluation (ROSE) for gastric SMTs.MethodsRetrospective analyses of the cytological specimens of EUS‐FNA in ROSE for gastric SMTs and determination of the diagnostic accuracy of EUS‐FNA combined with immunohistochemical analysis of cell blocks and surgically resected specimens were performed.ResultsA total of 110 patients were enrolled in this study. The most common cytodiagnosis was spindle cell tumor (62 patients, 55.5%), followed by negative for tumor (34 patients), and malignant lymphoma and adenocarcinoma (five patients each). Cell blocks were prepared for 60 of the patients (96.8%), cytologically diagnosed with spindle cell tumor. Immunohistochemical analyses using cell block revealed gastrointestinal stromal tumor (GIST, c‐kit+/desmin−, 49 patients) and leiomyoma (desmin+/c‐kit−, five patients). Thus, using EUS‐FNA specimens, 83.1% of GIST patients were pre‐operatively diagnosed.ConclusionsEUS‐FNA cytological examination in ROSE for gastric SMTs aided in the collection of sufficient amounts of tumor tissues for preparing cell blocks. This method led to a high rate of accurate pre‐operative diagnosis in patients with gastric SMTs.
Phylogeography and paleodistribution models of a widespread birch (Betula platyphylla Suk.) across East Asia: Multiple refugia, multidirectional expansion, and heterogeneous genetic pattern
Authors: Chen Tian‐Yi , Lou An‐Ru 
Published: June 2019

AbstractWidespread tree species cover large geographical areas and play important roles in various vegetation types. Understanding how these species responded to historical climatic changes is important for understanding community assembly mechanisms with evolutionary and conservation implications. However, the location of refugial areas and postglacial history of widespread trees in East Asia remain poorly known. We combined microsatellite data (63 populations, 1756 individuals) and ecological niche modeling to examine the range‐wide population diversity, genetic structure, and historical demography of a pioneer tree species, Asian white birch (Betula platyphylla Suk.) across East Asia. We found a north‐to‐south trend of declining genetic diversity and five clusters, corresponding to geographical regions. Different clusters were inferred to have diverged through Pleistocene climatic oscillations and have different expansion routes, leading to genetic admixture in some populations. Ecological niche models indicated that the distribution of B. platyphylla during the last glacial maximum still had a large latitude span with slight shifts toward southeast, and northern populations had more variable distribution ranges than those in the south during later climatic oscillations. Our results reflect the relatively stable distribution through the last glacial–interglacial cycles and recent multidirectional expansion of B. platyphylla, providing new hypotheses for the response pattern of widespread tree species to climate change. The gradual genetic pattern from northeast to southwest and alternative distribution dynamics possibly resulted from environmental differences caused by latitude and topographic heterogeneity.
Origin and evolution of the major histocompatibility complex class I region in eutherian mammals
Authors: Abduriyim Shamshidin , Zou Da‐Hu , Zhao Huabin 
Published: June 2019

AbstractMajor histocompatibility complex (MHC) genes in vertebrates are vital in defending against pathogenic infections. To gain new insights into the evolution of MHC Class I (MHCI) genes and test competing hypotheses on the origin of the MHCI region in eutherian mammals, we studied available genome assemblies of nine species in Afrotheria, Xenarthra, and Laurasiatheria, and successfully characterized the MHCI region in six species. The following numbers of putatively functional genes were detected: in the elephant, four, one, and eight in the extended class I region, and κ and β duplication blocks, respectively; in the tenrec, one in the κ duplication block; and in the four bat species, one or two in the β duplication block. Our results indicate that MHCI genes in the κ and β duplication blocks may have originated in the common ancestor of eutherian mammals. In the elephant, tenrec, and all four bats, some MHCI genes occurred outside the MHCI region, suggesting that eutherians may have a more complex MHCI genomic organization than previously thought. Bat‐specific three‐ or five‐amino‐acid insertions were detected in the MHCI α1 domain in all four bats studied, suggesting that pathogen defense in bats relies on MHCIs having a wider peptide‐binding groove, as previously assayed by a bat MHCI gene with a three‐amino‐acid insertion showing a larger peptide repertoire than in other mammals. Our study adds to knowledge on the diversity of eutherian MHCI genes, which may have been shaped in a taxon‐specific manner.
Spatiotemporal traffic matrix prediction: A deep learning approach with wavelet multiscale analysis
Authors: Zhao Jianlong , Qu Hua , Zhao Jihong , Jiang Dingchao 
Published: June 2019

AbstractNetwork traffic analysis has always been a key technique for operating and managing a network. However, due to some (non) technical issues, it is not trivial to directly obtain network‐wide traffic data. Although a large number of traffic matrix (TM) prediction methods have been used to obtain future network‐wide traffic, they achieve somewhat limited accuracy due to neglecting spatiotemporal evolution features of TM series at different time scales. In order to improve the performance of TM prediction, we propose a novel end‐to‐end deep neural network based on wavelet multiscale analysis, called WSTNet. In this network, the original TM series is first decomposed into multilevel time‐frequency TM subseries at different time scales by using discrete wavelet decomposition, and then the convolutional neural network without pooling is used to extract the spatial patterns among traffic flows, and finally, the long short‐term memory neural network with a self‐attention mechanism by relating different positions of input sequences across entire time steps is employed to explore the temporal evolution features within TM series. To investigate the performance of our proposed model, extensive experiments are conducted on two real network traffic data sets from the Abilene and GÉANT backbone networks. The results show that WSTNet is significantly better than the other four state‐of‐the‐art deep learning methods.
Trusting forecasts
Authors: Önkal Dilek , Gönül M. Sinan , De Baets Shari 
Published: June 2019

AbstractAccurate forecasting is necessary to remain competitive in today's business environment. Forecast support systems are designed to aid forecasters in achieving high accuracy. However, studies have shown that people are distrustful of automated forecasters. This has recently been dubbed “algorithm aversion.” In this study, we explore the relationship between trust and forecasts, and if trust can be boosted in order to achieve a higher acceptance rate of system forecasts and lessen the occurrence of damaging adjustments. In a survey with 134 executives, we ask them to rate the determinants of trust in forecasts, what trust in forecasting means to them, and how trust in forecasts can be increased. The findings point to four main factors that play a role in trusting forecasts: (a) the forecast bundle, (b) forecaster competence, (c) combination of forecasts, and (d) knowledge. Implications of these factors for designing effective forecast support and future‐focused management processes are discussed.
Modified Energy Efficiencies of Proton‐conducting SOFCs with Partial Conductions of Oxide‐ions and Holes
Authors: Matsuzaki Y. , Tachikawa Y. , Iinuma H. , Sato K. , Baba Y. , Otomo J. , Matsumoto H. , Taniguchi S. , Sasaki K. 
Published: June 2019

AbstractAn analytical method to determine the electrochemical energy efficiencies of electrolytes with partial electronic conduction has been developed previously and reported in the literature. However, this analytical method does not address the effects of differing ionic species in electrolytes, i.e., the oxide‐ions or protons. Therefore, we aimed to modify this analytical method to account for the effects of differing ionic species, and applied it to compare the energy efficiencies of oxide‐ion conducting solid electrolytes such as yttria‐stabilized zirconia (YSZ) and gadolinia‐doped ceria (GDC) to proton‐conducting solid electrolytes, such as yttria‐doped barium zirconate (BZY). With the modification, difference in the influence of the fuel consumption between the oxide‐ion conducting electrolyte and the proton‐conducting electrolyte has been successfully taken into account. The energy efficiency of the BZY electrolyte relatively increased against those of YSZ or GDC electrolytes by the modification. Additionally, partial oxide‐ion conduction in the proton‐conducting electrolyte was successfully estimated using the modified analytical method.
Robot‐assisted radical cystectomy in a patient with muscle‐invasive bladder cancer following radiotherapy for prostate cancer
Authors: Kubota Yuka , Hatakeyama Shingo , Hashimoto Takuya , Fujita Naoki , Okamoto Teppei , Suzuki Yuichiro , Yamamoto Hayato , Imai Atsushi , Yoneyama Takahiro , Hashimoto Yasuhiro , Koie Takuya , Ohyama Chikara 
Published: June 2019

IntroductionMuscle‐invasive bladder cancer following radiotherapy for prostate cancer is rare. We reported a case of muscle‐invasive bladder cancer who underwent robot‐assisted radical cystectomy following radiotherapy for prostate cancer.Case presentationA 72‐year‐old man was referred to our division with a muscle‐invasive bladder cancer. He had a history of intensity‐modulated radiation therapy for localized prostate cancer. After three courses of platinum‐based neoadjuvant chemotherapy, he obtained a radiologic complete response. He elected for robot‐assisted radical cystectomy, standard lymph node dissection, and intracorporeal ileal conduit urinary diversion. Pathological findings revealed no residual tumor within the bladder and residual tumor in the prostate. He had discharged without any complications; and quality of life had improved.ConclusionA robot‐assisted approach might be a potential option for well‐selected patients with muscle‐invasive bladder cancer who have previously received radiotherapy for localized prostate cancer.