nils-herrmann/clean_scirepeval huggingface dataset:
Field dependence of the vortex core size probed by scanning tunneling microscopy

We study the spatial distribution of the density of states (DOS) at zero bias $N(\mathbit{r} in the mixed state of single and multigap superconductors. We provide an analytic expression for $N(\mathbit{r} based on deGennes' relationship between DOS and the order parameter that reproduces well scanning tunneling microscopy (STM) data in several superconducting materials. In the single gap superconductor \ensuremath{\beta}\text{\ensuremath{ \mathrm{Bi}}_{2}\mathrm{Pd} we find that $N(\mathbit{r} is governed by a length scale \ensuremath{\xi}}_{H}\sqrt{\ensuremath{\phi}}_{0}/2\ensuremath{\pi}H} which decreases in rising fields. The vortex core size \mathcal{C} defined via the slope of the order parameter at the vortex center, \mathcal{C}\phantom{\rule{4pt}{0ex}\ensuremath{\propto}(d\mathrm{\ensuremath{\Delta}/dr{}_{r\ensuremath{\rightarrow}0}\ensuremath{ }1} differs from \ensuremath{\xi}}_{H} by a material dependent numerical factor. The new data on the tunneling conductance and vortex lattice of the $2\mathrm{H}\text{\ensuremath{ \mathrm{NbSe}}_{1.8}\mathrm{S}}_{0.2} show the in plane isotropic vortices, suggesting that substitutional scattering removes the in plane anisotropy found in the two gap superconductor $2\mathrm{H}\text{\ensuremath{ \mathrm{NbSe}}_{2} We fit the tunneling conductance of $2\mathrm{H}\text{\ensuremath{ \mathrm{NbSe}}_{1.8}\mathrm{S}}_{0.2} to a two gap model and calculate the vortex core size \mathcal{C} for each band. We find that \mathcal{C} is field independent and has the same value for both bands. We also analyze the two band superconductor $2\mathrm{H}\text{\ensuremath{ \mathrm{NbS}}_{2} and find the same result. We conclude that, independently of the magnetic field induced variation of the order parameter values in both bands, the spatial variation of the order parameter close to the vortex core is the same for all bands.
Genome wide analysis reveals NRP1 as a direct HIF1a E2F7 target in the regulation of motorneuron guidance in vivo
Venue: Nucleic acids research

In this study, we explored the existence of a transcriptional network co regulated by E2F7 and HIF1a, as we show that expression of E2F7, like HIF1a, is induced in hypoxia, and because of the previously reported ability of E2F7 to interact with HIF1a. Our genome wide analysis uncovers a transcriptional network that is directly controlled by HIF1a and E2F7, and demonstrates both stimulatory and repressive functions of the HIF1a E2F7 complex. Among this network we reveal Neuropilin 1 (NRP1) as a HIF1a E2F7 repressed gene. By performing in vitro and in vivo reporter assays we demonstrate that the HIF1a E2F7 mediated NRP1 repression depends on a 41 base pairs 'E2F binding site hub' providing a molecular mechanism for a previously unanticipated role for HIF1a in transcriptional repression. To explore the biological significance of this regulation we performed in situ hybridizations and observed enhanced nrp1a expression in spinal motorneurons (MN) of zebrafish embryos, upon morpholino inhibition of e2f7/8 or hif1a. Consistent with the chemo repellent role of nrp1a, morpholino inhibition of e2f7/8 or hif1a caused MN truncations, which was rescued in TALEN induced nrp1ahu10012 mutants, and phenocopied in e2f7/8 mutant zebrafish. Therefore, we conclude that repression of NRP1 by the HIF1a E2F7 complex regulates MN axon guidance in vivo.
Transformational leadership in nursing: a concept analysis.
Venue: Journal of advanced nursing

To analyse the concept of transformational leadership in the nursing context.  Tasked with improving patient outcomes while decreasing the cost of care provision, nurses need strategies for implementing reform in health care and one promising strategy is transformational leadership. Exploration and greater understanding of transformational leadership and the potential it holds is integral to performance improvement and patient safety.  Concept analysis using Walker and Avant's (2005) concept analysis method.  PubMed, CINAHL and PsychINFO.  This report draws on extant literature on transformational leadership, management, and nursing to effectively analyze the concept of transformational leadership in the nursing context.  This report proposes a new operational definition for transformational leadership and identifies model cases and defining attributes that are specific to the nursing context. The influence of transformational leadership on organizational culture and patient outcomes is evident. Of particular interest is the finding that transformational leadership can be defined as a set of teachable competencies. However, the mechanism by which transformational leadership influences patient outcomes remains unclear.  Transformational leadership in nursing has been associated with high performing teams and improved patient care, but rarely has it been considered as a set of competencies that can be taught. Also, further research is warranted to strengthen empirical referents; this can be done by improving the operational definition, reducing ambiguity in key constructs and exploring the specific mechanisms by which transformational leadership influences healthcare outcomes to validate subscale measures.
Leadership and Teamwork in Trauma and Resuscitation
Venue: The western journal of emergency medicine

Leadership skills are described by the American College of Surgeons' Advanced Trauma Life Support (ATLS) course as necessary to provide care for patients during resuscitations. However, leadership is a complex concept, and the tools used to assess the quality of leadership are poorly described, inadequately validated, and infrequently used. Despite its importance, dedicated leadership education is rarely part of physician training programs. The goals of this investigation were the following: 1. Describe how leadership and leadership style affect patient care; 2. Describe how effective leadership is measured; and 3. Describe how to train future physician leaders.  We searched the PubMed database using the keywords "leadership" and then either "trauma" or "resuscitation" as title search terms, and an expert in emergency medicine and trauma then identified prospective observational and randomized controlled studies measuring leadership and teamwork quality. Study results were categorized as follows: 1) how leadership affects patient care; 2) which tools are available to measure leadership; and 3) methods to train physicians to become better leaders.  We included 16 relevant studies in this review. Overall, these studies showed that strong leadership improves processes of care in trauma resuscitation including speed and completion of the primary and secondary surveys. The optimal style and structure of leadership are influenced by patient characteristics and team composition. Directive leadership is most effective when Injury Severity Score (ISS) is high or teams are inexperienced, while empowering leadership is most effective when ISS is low or teams more experienced. Many scales were employed to measure leadership. The Leader Behavior Description Questionnaire (LBDQ) was the only scale used in more than one study. Seven studies described methods for training leaders. Leadership training programs included didactic teaching followed by simulations. Although programs differed in length, intensity, and training level of participants, all programs demonstrated improved team performance.  Despite the relative paucity of literature on leadership in resuscitations, this review found leadership improves processes of care in trauma and can be enhanced through dedicated training. Future research is needed to validate leadership assessment scales, develop optimal training mechanisms, and demonstrate leadership's effect on patient level outcome.
Assessing Ecotourism Potential of Traditional Wooden Architecture in Rural Areas: The Case of Papart Valley

The aim of this study is to reveal the resource values that the rural areas host, and with a very disciplined approach, to discuss opportunities to benefit from those values in terms of ecotourism practices specific to Papart Valley. As a first step in this study, we took an inventory of natural and cultural assets of Papart Valley in Eastern Black Sea Region, Artvin province. Then, a Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis was conducted with the participation of all stakeholders and the current situation was analyzed in terms of ecotourism practices. In light of SWOT results, along with observed natural resource assets in the region, the traditional wooden houses were seen to have potential in terms of ecotourism and it was detected that there were a large number of wooden homes and home plans suitable for both the settlement of the local people and accommodation of guests. On the other hand, it was determined that there was a lack of information for sufficient protection and care of wooden houses, and despite their potential, there was a lack of regulations and positive attitudes towards accomodation businesses in traditional wooden houses. In order to eliminate these deficiencies, proposals for the protection of traditional building stock were developed, by first determining the causes of material degradation in the wooden houses. Also, to emphasize the worth and importance of these structures, dendrochronology studies were conducted in order to determine the antiquity of the structures and potentially to make them more attractive for eco tourism.
Research on the negotiation decision making model based on concession strategy in the artificial credit market

This paper which introduces the transaction concession strategy expands the artificial credit market model based on agent. First, through the investment and financing decision model, analysis the feasible set of the loan interest rate pricing in credit market. Second, proposed the bargaining decision mechanism of credit market based on concession strategy. Then we carried out simulation experiments on the artificial credit market based on concession strategy. The bilateral financial contract bargaining pricing mechanism under single issue frame in this paper provides fundamental ideas for optimizing the operation mechanism of credit market and improving credit market performance.
Second order plastic hinge analysis of planar steel frames using corotational beam column element

A new beam column element for nonlinear analysis of planar steel frames under static loads is presented in this paper. The second order effect between axial force and bending moment and the additional axial strain due to the element bending are incorporated in the stiffness matrix formulation by using the approximate seventh order polynomial function for the deflection solution of the governing differential equations of a beam column under end axial forces and bending moments in a corotational context. The refined plastic hinge method is used to model the material nonlinearity to avoid the further division of the beam columns in modeling the structure. A Matlab computer program is developed based on the combined arc length and minimum residual displacement methods and its results are proved to be reliable by modeling one or two proposed elements per member in some numerical examples.
Corporate social responsibility or CEO narcissism? CSR motivations and organizational performance

This study builds on insights from both upper echelons and agency perspectives to examine the effects on corporate social responsibility (CSR) practices of CEO's narcissism. Drawing on prior theory about CEO narcissism, we argue that CSR can be a response to leaders' personal needs for attention and image reinforcement and hypothesize that CEO narcissism has positive effects on levels and profile of organizational CSR; additionally, CEO narcissism will reduce the effect of CSR on performance. We find support for our ideas with a sample of Fortune 500 CEOs, operationalizing CEO narcissism with a novel media based measurement technique that uses third party ratings of CEO characteristics with validated psychometric scales.
Business Process Reengineering Breakpoint Strategies For Market Dominance

Thank you for reading business process reengineering breakpoint strategies for market dominance. As you may know, people have search numerous times for their chosen readings like this business process reengineering breakpoint strategies for market dominance, but end up in malicious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they juggled with some harmful bugs inside their laptop.
Factors Affecting the Implementation of Business Process Reengineering: Taking into Account the Moderating Role of Organizational Culture (Case Study: Iran Air)

Business process reengineering (BPR) has been proposed as an effective managerial tool to deal with technological changes as well as the marketing changes in today's competitive markets, which minimizes activities costing across the processes or the entire organization by analyzing and redesigning workflow and processes inside and outside the organization. Unfortunately, the advantages of business process reengineering and how to implement and monitor it have not been known in the Iranian airlines and even taking into account the strategic and important role of this industry in the country's economy, no basic and effective research has been conducted on the use of this process in such companies. The main objective of this study is to investigate the effect of technical factors, human factors as well as the moderating effect of organizational culture on implementing business process reengineering in Iran Air. Research method of this study is applied in terms of its objective and it is descriptive survey in terms of its method. The statistical population of the study included senior managers, middle managers, operational managers and supervisors and their total number was 312. The results of the analysis of statistical data show that human factors and technical factors affect the implementation of business process reengineering in Iran Air. Organizational culture also moderates the effect of human factors on the implementation of business process reengineering in Iran Air.
The Roles of Business Process Modeling and Business Process Reengineering in E Government

This chapter reveals the roles of business process modeling (BPM) and business process reengineering (BPR) in eGovernment, thus describing the concepts of eGovernment and BPM; BPM methodologies; business process modeling notation (BPMN) the importance of BPR in government to citizen (G2C) e commerce; the relationship between BPM and eGovernment based citizen satisfaction; the application of BPR in eGovernment; and the implementation of eGovernment through BPM. eGovernment is a modern trend that is driven by the advances in BPM and BPR as well as the aspirations of citizens who place increasing demands on governments' service. By modeling business processes in eGovernment, public sector organizations can achieve improvements in transparency and reduction in costs and resource requirements, resulting in improved business performance and compliance. The chapter argues that applying BPM and BPR in eGovernment has the potential to enhance public sector performance and achieve organizational goals in public sector organizations.
Fuzzy model on selecting processes in Business Process Reengineering
Venue: Bus. Process. Manag. J.

The purpose of this paper is to present a methodology to assist enterprise decision makers (DMs) to select from a number of processes during Business Process Reengineering (BPR) according to organizational objectives. Indeed, after the identification and classification of process and illustration of the organizational objectives and criteria, the effect of each process on each objective and criterion is calculated to select the most appropriate processes for reengineering purposes.,The proposed methodology uses fuzzy quality function deployment (QFD) technique to convert the qualitative data (DM's opinion) to quantitative ones and then calculates the effects of each process on the organizational objectives and criteria. Then, by using the result of fuzzy QFD, the amount of satisfaction of each process according to each criterion is calculated. By combining this data with other effective variables in BPR projects such as "cost" and "time," a multi objective goal programming (GP) model is formulated and solved to identify the most appropriate business processes.,In fact, a quantitative model is presented in which fuzzy QFD and GP methods are combined to help DMs to adopt an appropriate strategy for implementing BPR projects successfully by selecting proper processes for reengineering purposes. In addition, the presented model uses both qualitative and quantitative data and turns them into quantitative ones. An example is also provided to show how the model works.,Following this investigation, other researchers could able to complete the model with more dynamic and local variables to enhance the accuracy of the model.,The introduced model will support organizations and managers to select appropriate processes for BPR; so in practice, the mentioned projects will be more efficient and successful.,The paper study is essential for organizations, because the presented decision making model is based on fuzzy QFD and GP methods that enable the enterprises to select the business processes during the BPR projects easily. In this paper, a GP model is presented to create a balance between organizational satisfaction level and cost and time of implementing BPR projects considering organizational constraints. The proposed model was applied to a real case and the authors showed that it is an easy to use, valid, and powerful tool for implementing BPR projects.
Customer driven management models for choiceless clientele? Business process reengineering in a California welfare agency

Business process reengineering and lean are increasingly used to restructure public sector work. This article presents a case study of reengineering in a California welfare agency. It finds extensive work intensification and reduced autonomy for the workforce, and deteriorating service for the clientele. Rather than attribute these outcomes as inherent to the business process reengineering model, this article emphasizes how cost cutting and quantitative efficiency were prioritized over worker empowerment and service quality because the organization is a government agency facing severe budgetary pressures under neoliberalism, and the clientele consists of indigent families and individuals who have no choice of an alternative provider.
Spatial and temporal monthly precipitation forecasting using wavelet transform and neural networks, Qara Qum catchment, Iran
Venue: Arabian Journal of Geosciences

This paper aims to provide a spatial and temporal analysis to prediction of monthly precipitation data which are measured at irregularly spaced synoptic stations at discrete time points. In the present study, the rainfall data were used which were observed at four stations over the Qara Qum catchment, located in the northeast of Iran. Several models can be used to spatially and temporally predict the precipitation data. For temporal analysis, the wavelet transform with artificial neural network (WTANN) framework combines with the wavelet transform, and an artificial neural network (ANN) is used to analyze the nonstationary precipitation time series. The time series of dew point, temperature, and wind speed are also considered as ancillary variables in temporal prediction. Furthermore, an artificial neural network model was used for comparing the results of the WTANN model. Therefore, four models were developed, including WTANN and ANN with and without ancillary data. Several statistical methods were used for comparing the results of the temporal analysis. It was evident that at three of the four stations, the WTANN models were more effective than the ANN models, and only at one station, the ANN model with ancillary data had better performance than the WTANN model without ancillary data. The values of correlation coefficient and RMSE for WTANN model with ancillary data for the validation period at Mashhad station which showed the best results were equal to 0.787 and 13.525 mm, respectively. Finally, an artificial neural network model was used as an alternative interpolating technique for spatial analysis.
3D silicon pixel detectors for the High Luminosity LHC

3D silicon pixel detectors have been investigated as radiation hard candidates for the innermost layers of the HL LHC upgrade of the ATLAS pixel detector. 3D detectors are already in use today in the ATLAS IBL and AFP experiments. These are based on 50 x 250 mm2 large pixels connected to the FE I4 readout chip. Detectors of this generation were irradiated to HL LHC fluences and demonstrated excellent radiation hardness with operational voltages as low as 180 V and power dissipation of 12 15 mW/cm2 at a fluence of about 1016 neq/cm2, measured at 25degC. Moreover, to cope with the higher occupancies expected at the HL LHC, a first run of a new generation of 3D detectors designed for the HL LHC was produced at CNM with small pixel sizes of 50 x 50 and 25 x 100 mm2, matched to the FE I4 chip. They demonstrated a good performance in the laboratory and in beam tests with hit efficiencies of about 97% at already 1 2 V before irradiation.
Facile synthesis of 3D silicon/carbon nanotube capsule composites as anodes for high performance lithium ion batteries

Carbon nanotubes have attracted widespread attention as ideal materials for Lithium ion batteries (LIBs) due to their excellent conductivity, mechanical flexibility, chemical stability and extremely large surface area. Here, three dimensional (3D) silicon/carbon nanotube capsule composites (Si/CNCs) are firstly prepared via water in oil (W/O) emulsion technique with more than 75 wt% loading amount of silicon. CNCs with unique hollow sphere structure act as a 3D interconnected conductive network skeleton, and the cross linked carbon nanotubes (CNTs) of CNCs can effectively enhance the strength, flexibility and conductivity of the electrode. This Si/CNCs can not only alleviate the volume expansion, but also effectively improve the electrochemical performance of the LIBs. Such Si/CNCs electrode with the unique structure achieves a high initial discharge specific capacity of 2950 mAh g 1 and retains 1226 mAh g 1 after 100 cycles at 0.5 A g 1 as well as outstanding rate performance of 547 mAh g 1 at 10 A g 1
Organosilicon polymer derived mesoporous 3D silicon carbide, carbonitride and nitride structures as platinum supports for hydrogen generation by hydrolysis of sodium borohydride

Herein, mesoporous 3D silicon carbide (SiC) carbonitride (Si C N) and nitride (Si3N4) structures have been synthesized by nanocasting and pyrolysis using commercial organosilicon polymers as precursors of the different compositions. Detailed characterizations by BET and XRD allowed us to fix the most appropriate parameters to design mesoporous 3D structures with high specific surface areas and high pore volume. Then, the series of 3D structures has been used as supports to grow platinum nanoparticles (Pt NPs) by wet impregnation followed by reduction in hydrogen/argon flow. The Pt supported mesoporous 3D supports kept the mesoporosity of the virgin supports to be used for catalytic hydrolysis of sodium borohydride (NaBH4) A hydrogen generation rate of 24.2 L min 1 gPt 1 is measured for the Pt supported mesoporous 3D Si3N4 structure, which is notably higher than the catalytic hydrolysis using Pt supported mesoporous 3D SiC and Si C N structures. HRTEM investigations demonstrated the homogeneous distribution of Pt NPs over the Si3N4 support.