bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hydrodeoxygenation of Sorbitol into Bio‐Alkanes and ‐Alcohols Over Phosphated Ruthenium Molybdenum Catalysts
Authors: Weng Yujing , Wang Tiejun , Wang Chenguang , Liu Qiying , Zhang Yulong , Duan Peigao , Wang Longlong , Yin Hongxing , Liu Shijun , Ma Longlong 
Published: September 2018

AbstractBiofuels such as renewable alkanes and higher alcohols have drawn considerable interests for the use in internal combustion engines. Especially, higher alcohols could be used as a blending agent for diesel fuels. Herein, carbon supported phosphated ruthenium‐molybdenum (RuMoP) catalysts were employed in continuous trickle‐bed reactor for converting sorbitol into renewable alkanes and higher alcohols. The results showed that RuMoP on an active carbon (AC) support presented a complete sorbitol conversion and high yields of alkanes and alcohols in gasoline and diesel range. Subsequently, carbon nanotube (CNT) supported RuMoP was prepared and studied in detail for comparison. RuMoP/CNT presented a low C−C bond cracking property in sorbitol conversion and high selectivity of C6 products in gas‐phase (C6 alkane, 74.7 %) and oil‐phase (C6 alkane and alcohols, 87.8 %). Finally, detailed characterizations (N2‐adsorption, XRD, HRTEM, XPS, NH3‐TPD, Py‐IR spectrums, etc.) were performed over relevant catalysts (RuMoP/C and RuMoP/CNT) for correlating their catalytic and physicochemical properties.
Heterostructure CoS/NC@MoS2Hollow Spheres for High‐Performance Hydrogen Evolution Reactions and Lithium‐ION Batteries
Authors: Zhao Yueying , Bi Mengfan , Qian Fangfang , Zeng Peiyuan , Chen Mengna , Wang Ruojie , Liu Yangyang , Ding Yang , Fang Zhen 
Published: September 2018

AbstractUniquely structured CoS/N‐doped carbon@MoS2(denoted as CoS/NC@MoS2) hollow spheres were successfully synthesized by using a well‐designed N‐rich Co‐metal organic framework (ZIF‐67) precursor and template. Owing to the good mechanical stability and conductivity of carbon hollow spheres, N‐doped carbon, and Co−Mo bonds, the as‐prepared CoS/NC@MoS2composites exhibit outstanding electrochemical performance both in electrocatalytic and energy storage applications. An overpotential of 77 mV at 10 mA cm−2, and a Tafel slope of 67 mV dec−1could be obtained in acid environment for the hydrogen evolution reaction. As an anode material for lithium‐ion batteries, the as‐prepared composites exhibit good cycling stability with a high reversible specific capacity of 802.4 mA h g−1at a current density of 1 A g−1after 400 cycles and good rate capability.
Heat Exchanger at ACHEMA 2018
Authors: Reiser Sarah 
Published: September 2018

AbstractWärmeübertragung ist in den Prozessen der chemischen Industrie allgegenwärtig. Dies spiegelte sich auch auf der ACHEMA wider, wo Aussteller zu dieser Thematik nicht nur im Themengebiet Thermischen Verfahren zu finden waren, sondern unter anderem auch im Bereich des Anlagenbaus, der Mess‐, Regel‐ und Prozesstechnik. Es wird ein Einblick in die Stimmung der Aussteller sowie zu aktuellen Trends und Herausforderungen der Branche gegeben. Die Neuerungen in den Bereichen Platten‐ und Rohrbündelwärmetauscher, CFD‐Simulation von Wärmetauschern sowie Optimierung der Energierückgewinnung werden vorgestellt.
Predictors of positive electrophysiological study in patients with syncope and bundle branch block: PR interval and type of conduction disturbance
Authors: Roca‐Luque Ivo , Oristrell Gerard , Francisco‐Pasqual Jaume , Rodríguez‐García Julián , Santos‐Ortega Alba , Martin‐Sanchez Gabriel , Rivas‐Gandara Nuria , Perez‐Rodon Jordi , Ferreira‐Gonzalez Ignacio , García‐Dorado David , Moya‐Mitjans Angel 
Published: September 2018

BackgroundElectrophysiological study (EPS) is indicated in patients with syncope and bundle branch block (BBB). Data about predictors of positive EPS in these patients is scarce.ObjectiveTo assess clinical and electrocardiographic (ECG) predictors of positive EPS in patients with syncope and BBB.MethodsObservational single‐center study that included all consecutive patients with syncope and BBB that underwent EPS from January 2011 to June 2017. Results of EPS were considered positive according to current ESC syncope guidelines.ResultsDuring study period, 271 patients were included (64.9% male, age: 73.9 ± 12.2 years, number of syncopal episodes: 2.4 ± 2.5, LVEF: 56.1 ± 9.9%). Type of BBB: RBBB + LAFB/LPFB in 39.8%, isolated LBBB in 38.7% and isolated RBBB in 18.5% of the patients. Duration of QRS and PR interval were 141.9 ± 16.7 and 182.8 ± 52.2 milliseconds. EPS was positive in 41.7% of the patients. In multivariate analysis, conduction disturbance pattern and long PR interval (OR 8.6; 2.9‐25; P < 0.0001) were predictors of positive EPS. Conduction disturbance patterns related with positive EPS were: BBB different than isolated RBBB (OR 15.2; 2.2‐23.4; P = 0.005), LBBB or RBBB+long PR + left fascicular block (OR 4.5; 1.06‐20.01; P < 0.042), and RBBB+left fascicular block compared with LBBB (OR 4.8; 1.2‐16.7; P = 0.025). Clinical factors and syncope characteristics were not related with EPS result.ConclusionsDiagnostic yield of EPS in patients with syncope and BBB is moderate (41%). Type of conduction disturbance pattern and PR interval are associated with the electrophysiological (EP) test result. Patients with LBBB or bifascicular block have the highest rate of positive EP test. Long PR interval increases the proportion of positive EPS in all conduction disturbance patterns.
Delayed ventricular pacing failure and correlations between pacing thresholds, left ventricular ejection fraction, and QTc values in a male with Takotsubo cardiomyopathy
Authors: Brunetti Natale D. , D'Arienzo Girolamo , Sai Rafel , Pellegrino Pier L. , Ziccardi Luigi , Santoro Francesco , Di Biase Matteo 
Published: September 2018

BackgroundTransient pacing failure caused by transient increased pacing threshold has been reported in patients with transient left ventricular apical dysfunction (Takotsubo cardiomyopathy [TC]). Normal pacing thresholds usually recover after normalization of systolic dysfunction.HypothesisPacing failure correlates with clinics of TC.MethodsWe report the case of a 76‐year‐old man with a dual chamber pacemaker, admitted for acute chest pain and dyspnea and final diagnosis of TC. One month after index admission, the patient came back complaining again of chest pain. Unexpectedly, admission electrocardiogram showed ventricular pacing failure and an increased pacing threshold. In the following weeks, pacing threshold gradually recovered with left ventricular ejection fraction and QTc values.ResultsVentricular pacing threshold correlated directly to QTc values and inversely to left ventricular ejection fraction over time (P < 0.05).ConclusionsThis is one of the first cases of delayed transient ventricular pacing failure in a male patient with transient left ventricular apical ballooning, in the presence of spared right ventricular function. Given the possibility of acute transient anomalies in myocardial impedance and pacing failure even in the subacute phase of TC several weeks after clinical onset of transient systolic dysfunction, pacing threshold should be carefully monitored in subjects with TC, both during the acute phase of the disease and in first months of follow‐up after discharge. Ventricular pacing threshold correlated directly to QTc values and inversely to left ventricular ejection fraction over time.
Auranofin and its Analogues Show Potent Antimicrobial Activity against Multidrug‐Resistant Pathogens: Structure–Activity Relationships
Authors: Marzo Tiziano , Cirri Damiano , Pollini Simona , Prato Marco , Fallani Stefania , Cassetta Maria Iris , Novelli Andrea , Rossolini Gian Maria , Messori Luigi 
Published: September 2018

AbstractDue to the so‐called “antibiotic resistance crisis” new antibacterial agents are urgently sought to treat multidrug‐resistant pathogens. A group of gold‐ or silver‐based complexes, of general formula [M(PEt3)X] (with M=Au or Ag, and X=Cl, Br or I), alongside with three complexes bearing a positive or negative charge—[Au(PEt3)2]Cl, K[Au(CN)2] and [Ag(PEt3)2]NO3—were prepared and comparatively tested with auranofin on a representative panel of pathogens including Gram‐positive, Gram‐negative and Candida strains. Interestingly, all the gold and silver complexes tested were active on Gram‐positive strains, with the gold complexes having greater efficacy. The effects of the gold compounds were potentiated to a larger extent than silver compounds when tested in combination with a permeabilizing agent. A number of relevant structure–activity relationships emerged from the comparative analysis of the observed antibacterial profiles, shedding new light on the underlying molecular mechanisms of the action of these compounds.
Coupled agent‐based and hyperelastic modelling of the left ventricle post‐myocardial infarction
Authors: Zhuan Xin , Luo Xiaoyu , Gao Hao , Ogden Ray W. 
Published: September 2018

AbstractUnderstanding the healing and remodelling processes induced by myocardial infarction (MI) of the heart is important, and the mechanical properties of the myocardium post‐MI can be indicative for effective treatments aimed at avoiding eventual heart failure. MI remodelling is a multiscale feedback process between the mechanical loading and cellular adaptation. In this paper, we use an agent‐based model to describe collagen remodelling by fibroblasts regulated by chemical and mechanical cues after acute MI, and upscale into a finite element 3D left ventricular model. We model the dispersed collagen fibre structure using the angular integration method and have incorporated a collagen fibre tension‐compression switch in the left ventricle (LV) model. This enables us to study the scar healing (collagen deposition, degradation, and reorientation) of a rat heart post‐MI. Our results, in terms of collagen accumulation and alignment, compare well with published experimental data. In addition, we show that different shapes of the MI region can affect the collagen remodelling, and in particular, the mechanical cue plays an important role in the healing process.
Progressive breast fibrosis caused by extreme radiosensitivity: Oncocytogenetic diagnosis and treatment by reconstructive flap surgery
Authors: Mészáros Norbert , Farkas Gyöngyi , Székely Gábor , Kocsis Zsuzsa S. , Kelemen Péter B. , Fodor János , Polgár Csaba , Jurányi Zsolt 
Published: September 2018

AbstractBackgroundFibrosis, a proliferative response of fibrocytes after tissue injury, is a common sequela of external radiotherapy and can vary greatly among patients even in the absence of DNA repair syndromes, due to their different intrinsic radiosensitivity. Fibrosis is also a serious cosmetic problem for patients, and in some cases it can also imply pain.CaseHere, we report a case of a severe fibrosis 2 years after breast conserving surgery and postoperative 3D conformal breast irradiation. Furthermore, our patient had the suspicion of tumour recurrence. Our examinations were aimed at diagnosing recurrence or the lack of recurrence and investigating whether the symptoms occurred due to overdosing or extreme intrinsic radiosensitivity. Therefore, examining the patients' radiosensitivity, a cytogenetic test was performed, which revealed the patient's increased susceptibility to ionizing radiation, and therefore we rejected the prospect of overdosage. As a solution for the fibrosis, mastectomy was effectuated, and a latissimus dorsi musculocutaneous flap was used for reconstruction.ConclusionsWe suggest a multi‐disciplinary approach to manage fibrosis and propose cytogenetic markers to be used as predictors to identify patients who most likely benefit from a certain therapeutic regimen in terms of reduction of therapy‐related side effects.
Research of animals image semantic segmentation based on deep learning
Authors: Liu Shouqiang , Li Miao , Li Min , Xu Qingzhen 
Published: September 2018

SummaryIt is imperative for us to develop the technology of image semantic segmentation with the increasing demand in the image processing. Nowadays, the development of deep learning is of great significance to the improvement of image segmentation. Furthermore, the paper discussed the relationship between image semantic segmentation and animal image research based on the actual situation, and found that animal image processing technology plays a more important role in the field of protecting precious animals. The end‐to‐end network training of this paper is consisted of Fully Convolutional Network (FCN) for the front end and Conditional Random Fields as Recurrent Neural Networks (CRF‐RNN) for the back end via comparing a variety of research methods. The experiments achieved desired outcome for the semantic segmentation of animal images by utilizing Caffe deep learning framework and explained the implementation details from the aspects of training and testing.
Roofline analysis with Cray performance analysis tools (CrayPat) and roofline‐based performance projections for a future architecture
Authors: Kwack JaeHyuk , Arnold Galen , Mendes Celso , Bauer Gregory H. 
Published: September 2018

SummaryThe roofline analysis model is a visually intuitive performance model used to understand hardware performance limitations as well as potential benefits of optimizations for science and engineering applications. Intel Advisor has provided a useful roofline analysis feature since its version 2017 update 2, but it is not widely compatible with other compilers and chip‐architectures. As an alternative, we have employed Cray Performance Analysis Tools (CrayPat) that are more flexible for multiple compilers and architectures. First, we present our procedure for measuring a reliable computational intensity for roofline analysis. We performed several numerical studies for validation via manually derived reference data as well as data from Intel Advisor. Second, we provide roofline analysis results on Blue Waters for several HPC benchmarks and sparse linear algebra libraries. In addition, we present an example of roofline‐based performance projection for a future system.
Eigensolver performance comparison on Cray XC systems
Authors: Cook Brandon , Kurth Thorsten , Deslippe Jack , Carrier Pierre , Hill Nick , Wichmann Nathan 
Published: September 2018

SummaryHermitian (symmetric) eigenvalue solvers are the core constituents of electronic structure, quantum‐chemistry, and other HPC applications such as Quantum ESPRESSO, VASP, CP2K, and NWChem to name a few. Our understanding of the performance of symmetric eigenvalue algorithms on various hardware is clearly important to the quantum chemistry or condensed matter physics community but in fact goes beyond that community. For instance, big data analytics is increasingly utilizing eigenvalues solvers, in the study of randomized singular value decomposition (SVD) or principal component analysis (PCA). Noise, vibration, and harshness (NVH) is another field where fast and efficient eigenvalue solvers are required. Most eigenvalue solver packages feature numerous different parameters which can be tuned for performance, eg, the number of nodes, number of total ranks, the decomposition of the matrix, etc. In this paper, we investigate the performance of different packages as well as the influence of these knobs on the solver performance.
An opportunistic resource management model to overcome resource‐constraint in the Internet of Things
Authors: Safa Nader Sohrabi , Maple Carsten , Haghparast Mahboobeh , Watson Tim , Dianati Mehrdad 
Published: September 2018

SummaryExperts believe that the Internet of Things (IoT) is a new revolution in technology and has brought many advantages for our society. However, there are serious challenges in terms of information security and privacy protection. Smart objects usually do not have malware detection due to resource limitations and their intrusion detection work on a particular network. Low computation power, low bandwidth, low battery, storage, and memory contribute to a resource‐constrained effect on information security and privacy protection in the domain of IoT. The capacity of fog and cloud computing such as efficient computing, data access, network and storage, supporting mobility, location awareness, heterogeneity, scalability, and low latency in secure communication positively influence information security and privacy protection in IoT. This study illustrates the positive effect of fog and cloud computing on the security of IoT systems and presents a decision‐making model based on the object's characteristics such as computational power, storage, memory, energy consumption, bandwidth, packet delivery, hop‐count, etc. This helps an IoT system choose the best nodes for creating the fog that we need in the IoT system. Our experiment shows that the proposed approach has less computational, communicational cost, and more productivity in compare with the situation that we choose the smart objects randomly to create a fog.
Quantification of Muscle Contraction In Vitro and In Vivo Using MUSCLEMOTION Software: From Stem Cell‐Derived Cardiomyocytes to Zebrafish and Human Hearts
Authors: van Meer Berend J. , Sala Luca , Tertoolen Leon G. J. , Smith Godfrey L. , Burton Francis L. , Mummery Christine L. 
Published: September 2018

AbstractQuantification of contraction is essential to the study of cardiac diseases, injury, and responses to drugs. While there are many techniques to assess contractility, most rely on costly, dedicated hardware and advanced informatics, and can only be used in specific experimental models. We have developed an automated open‐source software tool (MUSCLEMOTION) for use with standard imaging equipment, to assess contractility in vitro and in vivo and quantify responses to drugs and diseases. We describe high‐speed and disturbance‐free acquisition of images from either electrically paced or non‐paced human pluripotent stem cell‐derived cardiomyocytes, isolated adult cardiomyocytes, zebrafish hearts, and human echocardiograms. Recordings are then used as input for automated batch analysis by the MUSCLEMOTION software tool configured with specific settings and parameters tailored to the recording technique. Details on accuracy, interpretation, and troubleshooting are discussed. Acquisition duration depends on the experimental setup and aim, but quantification of drug or disease responses in an in vitro muscle model can typically be completed within a few hours. © 2018 by John Wiley & Sons, Inc.
What happens when the therapist leaves? The impact of therapy transfer on the therapeutic alliance and symptoms
Authors: Zimmermann Dirk , Lutz Wolfgang , Reiser Michelle , Boyle Kaitlyn , Schwartz Brian , Schilling Viola N.L.S. , Deisenhofer Anne‐Katharina , Rubel Julian A. 
Published: September 2018

BackgroundThe therapeutic alliance is an important factor in psychotherapy, affecting both therapy processes and outcome. Therapy transfers may impair the quality of the therapeutic alliance and increase symptom severity. The aim of this study is to investigate the impact of patient transfers in cognitive behavioural therapy on alliance and symptoms in the sessions after the transfer.MethodPatient‐ and therapist‐rated therapeutic alliance and patient‐reported symptom severity were measured session‐to‐session. Differences in the levels of alliance and symptom severity before (i.e., with the original therapist) and after (i.e., with the new therapist) the transfer session were analysed. The development of alliance and symptom severity was explored using multilevel growth models.ResultsA significant drop in the alliance was found after the transfer, whereas no differences were found with regard to symptom severity. After an average of 2.93 sessions, the therapeutic alliance as rated by patients reached pretransfer levels, whereas it took an average of 5.05 sessions for therapist‐rated alliance levels to be at a similar level as before the transfer. Inter‐individual differences were found with regard to the development of the therapeutic alliance over time.ConclusionsTherapy transfers have no long lasting negative effects on either symptom impairment or the therapeutic alliance.
Motivating corporate social responsibility practices under customer pressure among small‐ and medium‐sized suppliers in China: The role of dynamic capabilities
Authors: Choi Seok‐Beom , Feng Yunting , Liu Junjun , Zhu Qinghua 
Published: September 2018

AbstractSmall‐ and medium‐sized suppliers (SMSs) have experienced customer pressure to implement corporate social responsibility (CSR) practices. However, capabilities are needed for SMSs to respond to such pressure. To explore how SMSs can be effectively motivated to make CSR efforts under customer pressure, based on the theory of dynamic capabilities (DCs), this paper identifies five factors of DCs—knowledge accessing (DC1), codevelopment (DC2), supply chain partner development (DC3), supply chain rebuilding (DC4), and flexibility (DC5). Moreover, this paper develops a conceptual model assuming that the five DCs moderate the relationship between customer pressure and CSR practices among SMSs. Using questionnaires collected from 333 Chinese SMSs in manufacturing industries, hierarchical statistical results demonstrate the moderating effect for three of four identified CSR practices. An interaction analysis further reveals that a certain level of DCs is necessary. The results provide managerial implications for large customers and SMSs to improve CSR‐related DCs among SMSs.
Firms with benefits: A systematic review of responsible entrepreneurship and corporate social responsibility literature
Authors: Tiba Sarah , van Rijnsoever Frank J. , Hekkert Marko P. 
Published: September 2018

AbstractThe scholarly literature has so far paid limited attention to responsibility by commercial entrepreneurs. This paper compares responsible entrepreneurship (RE) and corporate social responsibility (CSR) scholarship in order to identify future fields of research. For this purpose, we assess the strengths and weaknesses of extant RE scholarship through the lens of CSR. We have reviewed 11,260 papers via latent Dirichlet allocation for our work. We find that existing RE literature places disproportionate emphasis on how firms can benefit society instead of on how contributions to sustainable development can benefit a firm. Furthermore, the RE literature pays limited attention to employee well‐being, customer preference, and civil society as a stakeholder. Also, environmental issues and their balancing with financial and social issues remain relatively under‐researched. Overall, we hope that scholarly works inspired by this study may ultimately help to ensure responsible behaviour of start‐ups.
Do green motives influence green product innovation? The mediating role of green value co‐creation
Authors: Chang Ching‐Hsun 
Published: September 2018

AbstractThis empirical study tests hypotheses using a questionnaire survey to explore the positive effect of green motives on green product innovation performance through the mediator of a novel construct, green value co‐creation, in Taiwanese manufacturing companies. In this study, three green motives are examined: instrumental, relational, and moral motives. Green value co‐creation is divided into two parts: green co‐production and green value‐in‐use. This research reveals that moral motives are a much stronger driver than instrumental and relational motives. This study also determines that instrumental and moral motives have positive effects on green product innovation performance. However, no positive associations are observed among relational motives green co‐production, green value‐in‐use, and green product innovation performance. This study suggests that Taiwanese manufacturing companies should invest more resources to enhance moral motives, because they are positively associated with green value co‐creation and green product innovation performance.