bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spitz nevus with unusual dermoscopic figures in an adult female
Authors: Kawana Hironori , Fujita Hideki , Fujisawa Daisuke , Ishii Madoka , Murata Miwa , Kurumatani Ayano , Hayama Koremasa , Tanaka Masaru , Terui Tadashi 
Published: March 2020

AbstractSpitz nevus is an important differential diagnosis of malignant melanoma, especially in young adults. This case provides a significant information about unusual dermoscopic features of adult Spitz nevus, which may reflect changes over the years.
Hydroboration of Alkenes Catalysed by a Nickel N‐Heterocyclic Carbene Complex: Reaction and Mechanistic Aspects
Authors: Ulm Franck , Cornaton Yann , Djukic Jean‐Pierre , Chetcuti Michael J. , Ritleng Vincent 
Published: March 2020

AbstractThe pentamethylcyclopentadienyl N‐heterocyclic carbene nickel complex [Ni(η5‐C5Me5)Cl(IMes)] (IMes=1,3‐dimesitylimidazol‐2‐ylidene) efficiently catalyses the anti‐Markovnikov hydroboration of alkenes with catecholborane in the presence of a catalytic amount of potassium tert‐butoxide, and joins the very exclusive club of nickel catalysts for this important transformation. Interestingly, the regioselectivity can be reversed in some cases by using pinacolborane instead of catecholborane. Mechanistic investigations involving control experiments, 1H and 11B NMR spectroscopy, cyclic voltammetry, piezometric measurements and DFT calculations suggest an initial reduction of the NiII precursor to a NiI active species with the concomitant release of H2. The crucial role of the alkoxo‐catecholato‐borohydride species resulting from the reaction of potassium tert‐butoxide with catecholborane in the formation of an intermediate nickel‐hydride species that would then be reduced to the NiI active species, is highlighted.
Efficient Fused‐Ring Extension of A–D–A‐Type Non‐Fullerene Acceptors by a Symmetric Replicating Core Unit Strategy
Authors: Xia Tian , Li Chao , Ryu Hwa Sook , Guo Jing , Min Jie , Woo Han Young , Sun Yanming 
Published: March 2020

AbstractThe extension of fused aromatic ring core structures is beneficial for enhancing intramolecular charge transfer and effective π conjugation in A–D–A‐type (A=acceptor; D=donor) non‐fullerene acceptors (NFAs). In this work, a novel strategy involving the extension of a fused‐ring core by symmetrically replicating the core unit has been developed, and a novel symmetric fused‐12‐ring NFA, LC81, has been synthesized. When paired with the wide‐bandgap polymer donor PBT1‐C, the corresponding organic solar cells (OSCs) showed a high power conversion efficiency of 12.71 %, much higher than that of the device based on the reference NFA, TPTT‐4F. Moreover, the LC81‐based OSC displayed a lower energy loss and a better ambient stability than the TPTT‐4F‐based device. Our results indicate that the extension of the fused‐ring core by the symmetric replicating core unit strategy is an effective approach to promoting the photovoltaic characteristics of A–D–A‐type NFAs.
Twist/untwist parameters are promising evaluators of myocardial mechanic changes in heart failure patients with preserved ejection fraction
Authors: Zhang Yi , Li Shen‐Yi , Xie Juan‐Juan , Wu Yuan 
Published: March 2020

AbstractBackgroundThis study aimed to evaluate the twist/untwist parameters of the left ventricle (LV) in patients with heart failure with preserved ejection fraction (HFpEF) measured by ultrasonic two‐dimensional speckle tracking echocardiography (STE) and to examine the correlations between twist parameters and serum N‐terminal pro b‐type natriuretic peptide (NT‐proBNP) as well as conventional two‐dimensional echocardiography (2DE) indexes.HypothesisChanges in twist/untwist parameters can be used to evaluate LV function in HFpEF patients.MethodsIn 63 HFpEF patients and 40 healthy controls, we analyzed LV twist/untwist parameters by STE, cardiac function by 2DE, and serum NT‐proBNP by enzyme‐linked immunosorbent assay (ELISA). The correlations between twist/untwist parameters and 2DE parameters and serum NT‐proBNP were examined by Pearson correlation analysis.ResultsLeft ventricular end diastolic inner diameter and ejection fraction in HFpEF patients were within the normal range, whereas other 2DE parameters including left ventricular posterior wall end diastolic thickness, interventricular septal thickness, left atrial volume index, E, E/A, and E/e' differed significantly between HFpEF patients and control subjects. The twist/untwist parameters such as peak apical rotation (Par), peak untwisting velocity (PUWV), and isovolumic diastole untwisting percentage (Iutw%) were significantly decreased in HFpEF patients compared with control participants. Positive correlations between PUWV/Iutw% and E/A/E/e' and a significant negative correlation between PUWV/Iutw% and left atrial volume index (LAVI) were observed. The plasma NT‐proBNP concentration was positively correlated with LAVI, but negatively correlated with PUWV and Iutw%.ConclusionsChanges in twist/untwist parameters correlate well with conventional 2DE parameters and plasma levels of NT‐proBNP, and can be used to evaluate LV function in HFpEF patients. Par is sensitive to the LV myocardial function damage.
A Facile Approach to Carbon Dots‐Mesoporous Silica Nanohybrids and Their Applications for Multicolor and Two‐Photon Imaging Guided Chemo‐/Photothermal Synergistic Oncotherapy
Authors: Sun Shan , Zhao Shuai , Jiang Kai , Wang Yuhui , Shu Qinghai , Jin Shaohua , Li Zhongjun , Lin Hengwei 
Published: March 2020

AbstractMultifunctional nanocarrier‐based theranostics have been proposed to overcome some key problems in cancer treatments. In this contribution, a facile approach is reported to synthesize carbon dots‐mesoporous silica nanohybrids (named MSNs‐CDs) via a one‐pot microwave heating reaction of amino‐functionalized mesoporous silica nanoparticles (MSNs‐NH2) and citric acid in formamide. The MSNs‐CDs nanohybrids exhibit capabilities of multicolor/two‐photon imaging, high photothermal conversion under NIR laser irradiation (671 nm), and anti‐cancer drug delivery, and thus could potentially be applied as a multifunctional nanocarrier‐based theranostic agent for cancer. Further studies revealed that CDs were in situ formed on the surface of MSNs during the reaction, which is amenable for the observed multicolor/two‐photon imaging and photothermal properties. Besides, the well‐preserved MSNs characters of MSNs‐CDs nanohybrids (e. g., mesoporous structure, large surface area and pore volume) enable them to be an ideal nanocarrier for delivering anti‐cancer drugs, such as doxorubicin (DOX). Importantly, the MSNs‐CDs@DOX exhibited pH‐ (lower pH being preferred) and thermo‐responsive DOX release behaviors, which would effectively decrease side effects and meanwhile enhance the efficacy of chemotherapy due to the weak acidic microenvironment of tumor and photothermal effect of the CDs. Finally, in vitro experiments exhibited that the highest therapeutic efficacy was obtained by MSNs‐CDs@DOX with NIR irradiation, attributing to the synergistic effect of chemotherapy and PTT. This study not only provides a facile method to prepare CDs and MSNs nanohybrids, but also demonstrates that both of the superior features and functions of CDs and MSNs could be preserved and combined, which are deemed to be beneficial for the development of multifunctional theranostic nanoplatform for cancers.
Thorough QTc Study of a Single Supratherapeutic Dose of Relebactam in Healthy Participants
Authors: Boundy Keith , Liu Yang , Bhagunde Pratik , O'Reilly Terry E. , Colon‐Gonzalez Francheska , Friedman Evan J. , Lala Mallika , Rhee Elizabeth G. , Rizk Matthew L. 
Published: March 2020

AbstractThe effects of supratherapeutic doses of intravenous (IV) relebactam on duration of ventricular depolarization and subsequent repolarization were assessed in a thorough QT/corrected QT study. This was a single‐dose, double‐blind (relebactam only), randomized, placebo‐ and positive‐controlled, 3‐period, balanced crossover study in healthy participants. Participants received in randomized order, and separated by a washout (≥4 days), a single dose of IV relebactam 1150 mg, oral moxifloxacin 400 mg (open‐label positive control), and IV placebo. Least squares mean and 2‐sided 90% confidence interval for change from baseline in population‐derived corrected QT intervals for relebactam, moxifloxacin, and placebo were estimated for 24 hours. The upper limit of the 90% confidence interval of all least squares mean population‐derived corrected QT treatment differences from placebo was not >10 milliseconds at any time point for 24 hours. Corrected QT assay sensitivity was confirmed with moxifloxacin treatment. Analysis of electrocardiogram parameters resulted in no additional cardiac safety concerns. Overall, a supratherapeutic dose of relebactam yielded no cardiac safety events; the 1150‐mg supratherapeutic dose (4.6‐fold above the 250‐mg therapeutic dose) was not associated with QT prolongation or other abnormal cardiodynamic parameters. This study lends additional support to relebactam's use as a β‐lactamase inhibitor in antimicrobial therapy.
CPU usage prediction for cloud resource provisioning based on deep belief network and particle swarm optimization
Authors: Wen Yiping , Wang Yuan , Liu Jianxun , Cao Buqing , Fu Qi 
Published: March 2020

SummaryResource usage prediction is increasingly important in cloud computing environments, and CPU usage prediction is especially helpful for improving the efficiency of resource provisioning and reducing energy consumption of cloud datacenters. However, accurate CPU usage prediction remains a challenge and few works have been done on predicting CPU usage of physical machines in cloud datacenters. In this article, we present a deep belief network (DBN) and particle swarm optimization (PSO) based CPU usage prediction algorithm, which is named DP‐CUPA and aimed to provide more accurate prediction results. The DP‐CUPA consists of three main steps. First, the historic data on CPU usage are preprocessed and normalized. Then, the autoregressive model and grey model are adopted as base prediction models and trained to provide extra input information for training DBN. Finally, the PSO is used to estimate DBN parameters and the DBN neural network is trained to predict CPU usage. The effectiveness of the DP‐CUPA is evaluated by extensive experiments with a real‐world dataset of Google cluster usage trace.
A classification method based on encoder‐decoder structure with paper content
Authors: Yin Yi , Ouyang Lin , Wu Zhixiang , Yin Shuifang 
Published: March 2020

AbstractThe paper classification method aims to correctly divide the paper data according to the similarity of its content. However, how to accurately classify according to the content expressed in the paper has always been a problem that various classification algorithms need to face. At present, there is a kind of paper classification method based on deep learning and implemented by the encoder‐decoder structure. This method inputs the words from a large number of papers into encoder, after calculating by NN (neural network) algorithm, the similarity degree of different papers is compared to achieve the purpose of classification. However, this type of method only considers the similarity between words, a NN algorithm can only calculate a large number of word information once, and it cannot find the regularity of classification through word information. But it has a difference with the similarity of the content. This paper starts from the perspective of considering the content, its label information is extracted, and the input vector of encoder‐decoder structure is formed with labels and words. This improves the original paper classification method based on encoder‐decoder structure. Firstly, the label information is based on the content, which can reflect the content of the paper. Secondly, the classification method which combines label information and word information can reflect the content of the paper comprehensively. Thirdly, the label information is independent of word information and NN algorithm is used separately to make this part of the content more consistent in the encoder‐decoder structure. Finally, the label information and the word information are combined, respectively, with the output values obtained by different NN algorithms to realize the classification of the content. This paper proves the effectiveness of the proposed method by evaluating the paper data in web of science and obtaining relevant experimental results.
A survey on evaluating and optimizing performance of Intel Xeon Phi
Authors: Mittal Sparsh 
Published: March 2020

SummaryIntel's Xeon Phi combines the parallel processing power of a many‐core accelerator with the programming ease of CPUs. In this paper, we present a survey of works that study the architecture of Phi and use it as an accelerator for a broad range of applications. We review performance optimization strategies as well as the factors that bottleneck the performance of Phi. We also review works that perform comparison or collaborative execution of Phi with CPUs and GPUs. This paper will be useful for researchers and developers in the area of computer‐architecture and high‐performance computing.
Photoluminescent and Photoresponsive Iptycene‐Incorporated π‐Conjugated Systems: Fundamentals and Applications
Authors: Chiu Chun‐Wei , Yang Jye‐Shane 
Published: March 2020

AbstractIptycene is a class of 3D, rigid, and arene‐rich frameworks and has been incorporated into photoactive π‐systems for a variety of purposes, including tuning interchromophore interactions and thus the luminescence properties, creating active sites for excited‐state host–guest interactions, controlling the planarity of the π‐backbone for exciton delocalization activity, serving as a template for gating the charge/electron/energy‐transfer or intersystem crossing efficiency, generating structural chirality for chiroptical properties, and acting as a multiblade rotator in photoresponsive molecular devices. This Review outlines these concepts with examples reported over the past two decades.
Analytical Measurements to Elucidate Structural Behavior of 2,5‐Dimethoxy‐1,4‐benzoquinone During Charge and Discharge
Authors: Sano Hikaru , Takeichi Nobuhiko , Kato Minami , Shikano Masahiro , Kiyobayashi Tetsu , Matsumoto Hajime , Kuwabata Susumu , Yao Masaru 
Published: March 2020

AbstractOrganic compounds as electrode materials can contribute to sustainability because they are nontoxic and environmentally abundant. The working mechanism during charge–discharge for reported organic compounds as electrode materials is yet to be completely understood. In this study, the structural behavior of 2,5‐dimethoxy‐1,4‐benzoquinone (DMBQ) during charge—discharge is investigated by using NMR spectroscopy, energy‐dispersive X‐ray spectroscopy, magnetic measurements, operando Raman spectroscopy, and operando X‐ray diffraction. For both lithium and sodium systems, DMBQ works as a cathode accompanied with the insertion and deinsertion of Li and Na ions during charge—discharge processes. The DMBQ sample is found to be in two‐phase coexistence state at the higher voltage plateau, and the radical monoanion and dianion phases have no long‐distance ordering. These structures reversibly change into the original neutral phase with long‐distance ordering. These techniques can show the charge–discharge mechanism and the factors that determine the deterioration of organic batteries, thus guiding the design of future high‐performance organic batteries.
A Glimpse into Green Chemistry Practices in the Pharmaceutical Industry
Authors: Sharma Sudripet , Das Jagattaran , Braje Wilfried M. , Dash Ashutosh K. , Handa Sachin 
Published: March 2020

AbstractIn this Minireview, the importance and implementation of green chemistry practices in the pharmaceutical industry are illustrated. With notable examples, some of the most important industrial organic transformations are discussed along with their applications in the synthesis of drug molecules. A brief comparison between traditional unsustainable methods and modern green methods is made to shed light on the economic and environmental benefits of greener methods. Finally, green chemistry practices in the pharmaceutical industries of India and China are also discussed.
Spatial and temporal variability in ringed seal (Pusa hispida) stable isotopes in the Beaufort Sea
Authors: Boucher Nicole P. , Derocher Andrew E. , Richardson Evan S. 
Published: March 2020

AbstractArctic ecosystem dynamics are shifting in response to warming temperatures and sea ice loss. Such ecosystems may be monitored by examining the diet of upper trophic level species, which varies with prey availability. To assess interannual variation in the Beaufort Sea ecosystem, we examined spatial and temporal trends in ringed seal (Pusa hispida) δ13C and δ15N in claw growth layers grown from 1964 to 2011. Stable isotopes were correlated with climate indices, environmental conditions, seal population productivity, and geographic location. Sex and age did not influence stable isotopes. Enriched13C was linked to cyclonic circulation regimes, seal productivity, and westward sampling locations. Higher δ15N was linked to lower sea surface temperatures, a higher percentage of pups in the subsistence harvest, and sample locations that were eastward and further from shore. From the 1960s to 2000s, ringed seal niche width expanded, suggesting a diversification of diet due to expansion of prey and/or seal space use. Overall, trends in ringed seal stable isotopes indicate changes within the Beaufort Sea ecosystem affected by water temperatures and circulation regimes. We suggest that continued monitoring of upper trophic level species will yield insights into changing ecosystem structure with climate change.
Hyperglycaemia, ejection fraction and the risk of heart failure or cardiovascular death in patients with type 2 diabetes and a recent acute coronary syndrome
Authors: Shin Sung‐Hee , Claggett Brian , Pfeffer Marc A. , Skali Hicham , Liu Jiankang , Aguilar David , Diaz Rafael , Dickstein Kenneth , Gerstein Hertzel C. , Køber Lars V. , Lawson Francesca C. , Lewis Eldrin F. , Maggioni Aldo P. , McMurray John J.V. , Probstfield Jeffrey L. , Riddle Matthew C. , Tardif Jean‐Claude , Solomon Scott D. ,   for the ELIXA Investigators
Published: March 2020

AbstractAimsChronic hyperglycaemia, assessed by elevated glycated haemoglobin (A1C), is a known risk factor for heart failure (HF) and cardiovascular (CV) death among subjects with diabetes. Whether this risk varies with left ventricular ejection fraction (LVEF) is unknown. This study evaluated whether A1C influences a composite outcome of either HF hospitalization or CV death differently along the spectrum of
LVEF.Methods and resultsWe assessed the relationships of baseline A1C and LVEF with a composite outcome of either CV death or HF hospitalization in the 4091 patients with type 2 diabetes and a recent acute coronary syndrome enrolled in the ELIXA trial who had available LVEF. We assessed for interaction between A1C and LVEF as continuous variables with respect to this outcome. During a median follow‐up of 25.7 months, 343 patients (8.4%) had HF hospitalization or died of CV causes. In a multivariable model, A1C and LVEF were each associated with an increased risk of HF hospitalization or CV death [adjusted hazard ratio (HR) 1.11, 95% confidence interval (CI) 1.01–1.21 per 1% higher A1C, and adjusted HR 1.39, 95% CI 1.27–1.51 per 10% lower in LVEF]. Both A1C and LVEF were independently and incrementally associated with risk without evidence of interaction (P for interaction = 0.31). Patients with A1C ≥ 8% and LVEF <40% were at threefold higher risk than those with A1C < 7% and LVEF ≥50% (adjusted HR 3.18, 95% CI 2.03–4.98, P < 0.001).ConclusionIn a contemporary cohort of patients with type 2 diabetes and acute coronary syndrome, baseline chronic hyperglycaemia was associated with an increased risk of HF hospitalization or CV death independently of
LVEF.
Dynamically functioning and highly stretchable epidermal supercapacitor based on vertically aligned gold nanowire skins
Authors: An Tiance , Gong Shu , Ling Yunzhi , Dong Dashen , Zhao Yunmeng , Cheng Wenlong 
Published: March 2020

AbstractAn ideal epidermal supercapacitor should be ultrathin, highly stretchable, and skin‐attachable yet able to function under dynamic deformation states. Past several years have witnessed encouraging progress in stretchable supercapacitors but it remains challenging to achieve an epidermal supercapacitor that can meet all the aforementioned criteria. Here, we report an entire solution‐based strategy to fabricate such kind of epidermal supercapacitor based on enokitake‐like vertically aligned gold nanowires (v‐AuNWs) in conjunction with pseudocapacitive polyaniline and pre‐strain technology. Despite of ultrathin thickness of only around 50 μm, our epidermal supercapacitor exhibited an areal capacitance of 2.3 mF/cm2 with negligible performance deterioration under both static and dynamic stretching of 100% strain. Such performance could also be well‐maintained for the on‐skin applications where wrist being constantly under various motions. Our finding indicates the potential application of the solution‐grown v‐AuNWs in future wearable electronics.image
Squeezing failure behavior of roof‐coal masses in a gob‐side entry driven under unstable overlying strata
Authors: Zhang Guangchao , Chen Lianjun , Wen Zhijie , Chen Miao , Tao Guangzhe , Li You , Zuo Hao 
Published: March 2020

AbstractThis paper endeavors to reveal the squeezing failure mechanism of roof‐coal masses and its correlation with the movement of the roof strata. An integrated method incorporating field instruments and numerical modeling was conducted. The borehole camera detection revealed that the development degree and scope of cracks in the roof strata on the coal pillar side are significantly larger than that on the panel rib side, and the fracture line of the main roof occurred above the coal pillar. A rigorous modeling procedure verified the borehole camera detection results and also found that the vertical and horizontal displacement of the roof‐coal mass exhibited asynchronous development characteristics at various heights. Subsequently, a comprehensive control strategy was proposed to prevent the squeezing failure behavior of roof‐coal masses in DUOS gob‐side entry. This study provides a basis for understanding the squeezing failure behavior of roof‐coal masses, and the proposed control strategy can potentially be applied in other similar mining projects.
The industrial asymmetry of the stock price prediction with investor sentiment: Based on the comparison of predictive effects with SVR
Authors: Jin Zhenni , Guo Kun , Sun Yi , Lai Lin , Liao Zhewen 
Published: March 2020

AbstractAs a representative emerging financial market, the Chinese stock market is more prone to volatility because of investor sentiment. It is reasonable to use efficient predictive methods to analyze the influence of investor sentiment on stock price forecasting. This paper conducts a comparative study about the predictive performance of artificial neural network, support vector regression (SVR) and autoregressive integrated moving average and selects SVR to study the asymmetry effect of investor sentiment on different industry index predictions. After studying the relevant financial indicators, the results divide the Shenwan first‐class industries into two types and show that the industries affected by investor sentiment are composed of young companies with high growth and high operative pressure and there are a great number of investment bubbles in those companies.