nils-herrmann/clean_scirepeval huggingface dataset:
Profiling Scholars of Creativity: Practicing the Process with Dr. Michele Root Bernstein

There's a problem with the term creativity. it's got all these preconceived notions, and prejudices and wishful thinking attached to it. we're trying to understand this huge ball of stuff Michele Root Bernstein (personal communication) Playing with distinctions, boundaries, unassailable truths, and the limits of utility is, in fact, what many of the most innovative people in all disciplines do Robert and Michele Root Bernstein in Sparks of Genius (1999, p. 255) Over the past few years, we (the Deep Play Research Group) have been writing an ongoing series under the broad rubric of BRethinking Technology and Creativity in the 21st Century.^We have covered a lot of ground in these articles, around issues related to defining and measuring creativity, teaching creatively with technology and transdisciplinary thinking. We begin a new phase for with this article. Each article for the foreseeable future will focus on interviews with renowned scholars of creativity. Our goal is to make the work of these scholars more accessible and to connect their work to the themes that underlie this series. We begin these conversations with independent scholar and writer Dr. Michele RootBernstein.
[2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure]
Venue: Kardiologia polska

Authors/Task Force Members: Piotr Ponikowski* (Chairperson) (Poland) Adriaan A. Voors* (Co Chairperson) (The Netherlands) Stefan D. Anker (Germany) Hector Bueno (Spain) John G. F. Cleland (UK) Andrew J. S. Coats (UK) Volkmar Falk (Germany) Jose Ramon Gonzalez Juanatey (Spain) Veli Pekka Harjola (Finland) Ewa A. Jankowska (Poland) Mariell Jessup (USA) Cecilia Linde (Sweden) Petros Nihoyannopoulos (UK) John T. Parissis (Greece) Burkert Pieske (Germany) Jillian P. Riley (UK) Giuseppe M. C. Rosano (UK/Italy) Luis M. Ruilope (Spain) Frank Ruschitzka (Switzerland) Frans H. Rutten (The Netherlands) Peter van der Meer (The Netherlands)
2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure
Venue: European journal of heart failure

Authors/Task Force Members: Piotr Ponikowski* (Chairperson) (Poland) Adriaan A. Voors* (Co Chairperson) (The Netherlands) Stefan D. Anker (Germany) Hector Bueno (Spain) John G. F. Cleland (UK) Andrew J. S. Coats (UK) Volkmar Falk (Germany) Jose Ramon Gonzalez Juanatey (Spain) Veli Pekka Harjola (Finland) Ewa A. Jankowska (Poland) Mariell Jessup (USA) Cecilia Linde (Sweden) Petros Nihoyannopoulos (UK) John T. Parissis (Greece) Burkert Pieske (Germany) Jillian P. Riley (UK) Giuseppe M. C. Rosano (UK/Italy) Luis M. Ruilope (Spain) Frank Ruschitzka (Switzerland) Frans H. Rutten (The Netherlands) Peter van der Meer (The Netherlands)
2016 ESC Guidelines for the Diagnosis and Treatment of Acute and Chronic Heart Failure.
Venue: Revista espanola de cardiologia

Authors/Task Force Members: Piotr Ponikowski* (Chairperson) (Poland) Adriaan A. Voors* (Co Chairperson) (The Netherlands) Stefan D. Anker (Germany) Hector Bueno (Spain) John G. F. Cleland (UK) Andrew J. S. Coats (UK) Volkmar Falk (Germany) Jose Ramon Gonzalez Juanatey (Spain) Veli Pekka Harjola (Finland) Ewa A. Jankowska (Poland) Mariell Jessup (USA) Cecilia Linde (Sweden) Petros Nihoyannopoulos (UK) John T. Parissis (Greece) Burkert Pieske (Germany) Jillian P. Riley (UK) Giuseppe M. C. Rosano (UK/Italy) Luis M. Ruilope (Spain) Frank Ruschitzka (Switzerland) Frans H. Rutten (The Netherlands) Peter van der Meer (The Netherlands)
A real time GPU based coupled fluid structure simulation with haptic interaction
Venue: 2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS)

Time series scientific simulation on supercomputers generates huge amounts of data at each time step. In the big data era, these data become impossible to be stored anymore, so simultaneous analysis of these data is strongly demanded. In order to realize such an on the fly intuitive analysis of simulation, this paper showcases a multimodal visualization and steering system with visual and haptic interfaces for a real time GPU based coupled fluid structure simulation. Since the nature of touching sense of human beings requires extremely fast and continuous refreshing to form authentic feeling, parallel techniques were utilized to speed up haptic updating to around one millisecond. A middle layer interface for a haptic device was developed to realize the ease of use of this device. Furthermore, a model of palpation was proposed to allow users to touch, push and sense the dynamic fluid motion inside a deformable tube.
Static Aeroelastic Analysis of an Aircraft Wind Tunnel Model by Means of Modal RBF Mesh Updating

AbstractA numerical static aeroelastic analysis procedure, applying a modal approach in coupling the fluid dynamic and structural solutions, is presented. The method is based on a preliminary structural modal analysis from which a number of natural modes is selected to be used in the creation of a fluid dynamic domain morphing criterion. The mesh is made parametric on modal coordinates and updated using a mesh morphing tool based on radial basis functions (RBF) within the progress of the fluid dynamic computation. An intrinsically elastic numerical model is then created, and no further iteration with the structural solver is required. The modal forces are extracted by integrating the pressure on the wall boundaries and used to define the weights of the morphing action of each modal shape. This is a simplifying alternative to the traditional fluid dynamic structural analysis coupling approach that makes it possible to bypass several complexities related to the implementation of 2 way fluid structure intera.
Exploring Language Support for Immutability
Venue: 2016 IEEE/ACM 38th International Conference on Software Engineering (ICSE)

Programming languages can restrict state change by preventing it entirely (immutability) or by restricting which clients may modify state (read only restrictions) The benefits of immutability and read only restrictions in software structures have been long argued by practicing software engineers, researchers, and programming language designers. However, there are many proposals for language mechanisms for restricting state change, with a remarkable diversity of techniques and goals, and there is little empirical data regarding what practicing software engineers want in their tools and what would benefit them. We systematized the large collection of techniques used by programming languages to help programmers prevent undesired changes in state. We interviewed expert software engineers to discover their expectations and requirements, and found that important requirements, such as expressing immutability constraints, were not reflected in features available in the languages participants used. The interview results informed our design of a new language extension for specifying immutability in Java. Through an iterative, participatory design process, we created a tool that reflects requirements from both our interviews and the research literature.
The Snowflake Elastic Data Warehouse
Venue: SIGMOD Conference

We live in the golden age of distributed computing. Public cloud platforms now offer virtually unlimited compute and storage resources on demand. At the same time, the Software as a Service (SaaS) model brings enterprise class systems to users who previously could not afford such systems due to their cost and complexity. Alas, traditional data warehousing systems are struggling to fit into this new environment. For one thing, they have been designed for fixed resources and are thus unable to leverage the cloud's elasticity. For another thing, their dependence on complex ETL pipelines and physical tuning is at odds with the flexibility and freshness requirements of the cloud's new types of semi structured data and rapidly evolving workloads. We decided a fundamental redesign was in order. Our mission was to build an enterprise ready data warehousing solution for the cloud. The result is the Snowflake Elastic Data Warehouse, or "Snowflake" for short. Snowflake is a multi tenant, transactional, secure, highly scalable and elastic system with full SQL support and built in extensions for semi structured and schema less data. The system is offered as a pay as you go service in the Amazon cloud. Users upload their data to the cloud and can immediately manage and query it using familiar tools and interfaces. Implementation began in late 2012 and Snowflake has been generally available since June 2015. Today, Snowflake is used in production by a growing number of small and large organizations alike. The system runs several million queries per day over multiple petabytes of data. In this paper, we describe the design of Snowflake and its novel multi cluster, shared data architecture. The paper highlights some of the key features of Snowflake: extreme elasticity and availability, semi structured and schema less data, time travel, and end to end security. It concludes with lessons learned and an outlook on ongoing work.
Automatic Transformation of Data Warehouse Schema to NoSQL Data Base: Comparative Study
Venue: KES

Driven by the ever growing of data from social network (SN) data warehouse (DW) approaches must be adapted. Generally the star, snowflake or constellation models are used as logical ones. All these models are inadequate when dealing with social data which need scalable and flexible systems. As an alternative, NoSQL systems begin to grow.In the absence of a clear approach which allows the implementation of data warehouse under NoSQL model, we propose in this paper, new rules for transforming a multidimensional conceptual model into two NoSQL ones: column oriented and documentoriented models. For each model, we distinguish two types of transformation: simple and hierarchical. To validate our transformation rules, we implemented four data warehouses using Cassandra as a column oriented NoSQL system and MongoDB as document oriented NoSQL system. These systems were implemented using java routines in Talend Data Integration tool and evaluated in terms of "Write Request Latency" and "Read request Latency" using TPC DS benchmark.
Datawarehouser: A data warehouse artist who have ability to understand data warehouse schema pictures
Venue: 2016 IEEE Region 10 Conference (TENCON)

This paper lists basic knowledge requirement to become a data warehouse artist which should have basic data warehouse knowledge in order to understand a data warehouse schema picture as a similarity when a picture or painting artist see an artwork. This paper does not discuss about data warehouse personal such as data warehouse development advisor, data warehouse consultant, data warehouse architect, data warehouse developer or any other jobs related to data warehouse. This paper only discuss how a people can be a data warehouse artist which can enjoy to see many database model design pictures, particularly for data warehouse schema pictures and enjoy to spend much time in front of those pictures. Moreover, A good datawarehouser or data warehouse artist should be able to represent their data warehouse pictures not only in usual and bored pictures but treat their data warehouse pictures as an artwork in order to increase audience's engagement. Furthermore, having knowledge and ability to build and develop data warehouse is value added for data warehouse artist. Thus, a data warehouse artist can recognize and differ each of database model picture as a database design model or data warehouse model and see them as science art.
A NOTE ON NOMINAL GDP TARGETING AND THE ZERO LOWER BOUND
Venue: Macroeconomic Dynamics

I compare nominal gross domestic product (GDP) level targeting with strict price level targeting in a small New Keynesian model, with the central bank operating under optimal discretion and facing a zero lower bound on nominal interest rates. I show that, if the economy is only buffeted by purely temporary shocks to inflation, nominal GDP level targeting may be preferable because it requires the burden of the shocks to be shared by prices and output. However, in the presence of persistent supply and demand shocks, strict price level targeting may be superior because it induces greater policy inertia and improves the tradeoffs faced by the central bank. During lower bound episodes, somewhat paradoxically, nominal GDP level targeting leads to larger falls in nominal GDP.
BIDADARI DALAM KONSTRUKSI TAFSIR AL QUR'AN ANALISIS GENDER ATAS PEMIKIRAN AMINA WADUD MUHSIN DALAM PENAFSIRAN AL QUR'AN

Penafsiran visi penting al Qur'an tentang temanpendamping dalam surga telah mengalami biaspatriarkhi. Amina Wadud mencoba membaca ulang ayatayatini dengan pendekatan hermeneutik berkeadilangender. Menggunakan metode deskriptif, artikel inimeyimpulkan Amina membedakan dua kata yang sering disalahpahami dan dianggap identik yaitu kata hur ddan azwaj. Gambaran mengenai teman di surga bagi kaumberiman dimunculkan dalam tiga tingkatan. Pertama sebutan hu r al 'ayu n yang berarti pasangan untuk lakilakiberiman (bidadari) Kata ini mencerminkan tingkatberpikir Makkah Jahiliyyah. Kedua istilah zawj yangmenggambarkan periode Madinah yang bermaknapasangan yang diidamkan baik untuk laki laki maupunperempuan. Dan ketiga al Qur'an menyebutkan sesuatuyang melebihi kedua peringkat sebelumnya yaitu kedekatan di sisi Allah swt swt. Kata kunci Amina Wadud, Bidadari, Tafsir Feminis.
Manager emotional intelligence and project success: The mediating role of job satisfaction and trust

The number of complex projects is increasing across many sectors and the associated challenges are substantial. Using a field study we aim to understand how project managers' emotional intelligence (EI) contributes to project success. We propose and test a model linking EI to project success and examine the mediating effects of project managers' job satisfaction and trust on this relationship. Based on data collected from 373 project managers in the Australian defence industry, our results indicate that EI has a positive impact on project success, job satisfaction, and trust. Moreover, we found evidence that job satisfaction and trust mediate the relationship between EI and project success. Our findings suggest that top management should be aware of the importance of project managers' job satisfaction and trust, which can both serve to boost project success in complex project situations.
Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records
Venue: Scientific reports

Secondary use of electronic health records (EHRs) promises to advance clinical research and better inform clinical decision making. Challenges in summarizing and representing patient data prevent widespread practice of predictive modeling using EHRs. Here we present a novel unsupervised deep feature learning method to derive a general purpose patient representation from EHR data that facilitates clinical predictive modeling. In particular, a three layer stack of denoising autoencoders was used to capture hierarchical regularities and dependencies in the aggregated EHRs of about 700,000 patients from the Mount Sinai data warehouse. The result is a representation we name "deep patient" We evaluated this representation as broadly predictive of health states by assessing the probability of patients to develop various diseases. We performed evaluation using 76,214 test patients comprising 78 diseases from diverse clinical domains and temporal windows. Our results significantly outperformed those achieved using representations based on raw EHR data and alternative feature learning strategies. Prediction performance for severe diabetes, schizophrenia, and various cancers were among the top performing. These findings indicate that deep learning applied to EHRs can derive patient representations that offer improved clinical predictions, and could provide a machine learning framework for augmenting clinical decision systems.
Planning in Turbulent Times: Exploring Planners' Agency in Jerusalem

This article explores the role of planning in the deeply divided and politically polarized context of Jerusalem. The overall argument developed throughout the article is that the relation between planning and politics is a non hierarchical set of interactions, negotiated within specific historical, geographical, legal and cultural contexts in other words, orders don't come down from the politicians to be slavishly followed by planners. In this respect our findings, based on in depth interviews with Israeli planners, suggest that the case of Jerusalem represents a particularly dramatic illustration of the fact that the function of planning expertise can only be understood in relation to the surrounding socio political environment. Furthermore, contrary to conventional wisdom, planners in Jerusalem are not destined to either complicity or irrelevance in the face of political imperatives; planners' agency, however, does not simply reflect their mastery of specific professional knowledge and tools, but also their ability to act strategically in relation to the context in which they operate.
A modified method for risk evaluation in failure modes and effects analysis of aircraft turbine rotor blades

Failure mode and effects analysis is an important methodology, which has been extensively used to evaluate the potential failures, errors, or risks in a system, design, or process. The traditional method utilizes the risk priority number ranking system. This method determines the risk priority number by multiplying failure factor values.  Shafer evidence theory has been combined with failure mode and effects analysis due to its effectiveness in dealing with uncertain and subjective information. However, since the risk evaluation of different experts may be different and some even conflict with each other, Dempster's combination rule may become invalid. In this article, for better performance of application of evidence theory in failure mode and effects analysis, a modified method is proposed to reassign the basic believe assignment taking into consideration a reliability coefficient based on evidence distance. We illustrate several numerical examples and use the modified method to obtain the risk priority numbers for risk evaluation in failure modes of aircraft engine rotor blades. The results show that the proposed method is more reasonable and effective for real applications.
Photocatalytic degradation of the antibiotic chloramphenicol and effluent toxicity effects.
Venue: Ecotoxicology and environmental safety

Chloramphenicol sodium succinate (CAP, C15H15Cl2N2 Na2O8) is a broad spectrum antibiotic exhibiting activity against both Gram positive and Gram negative bacteria as well as other groups of microorganisms only partially removed by conventional activated sludge wastewater treatment plants. Thus, CAP and its metabolites can be found in effluents. The present work deals with the photocatalytic degradation of CAP using TiO2 as photocatalyst. We investigated the optimization of reaction contact time and concentration of TiO2 considering CAP and its by products removal as well as effluent ecotoxicity elimination. Considering a CAP real concentration of 25mgL( 1) kinetic degradation curves were determined at 0.1, 0.2, 0.4, 0.8, 1.6 and 3.2gL( 1) TiO2 after 5, 10, 30, 60 and 120min reaction time. Treated samples were checked for the presence of by products and residual toxicity (V. fischeri, P. subcapitata, L. sativum and D. magna) Results evidenced that the best combination for CAP and its by products removal could be set at 1.6gL( 1) of TiO2 for 120min with an average residual toxicity of approximately 10% that is the threshold set for negative controls in most toxicity tests for blank and general toxicity test acceptability.
A novel colorimetric sandwich aptasensor based on an indirect competitive enzyme free method for ultrasensitive detection of chloramphenicol.
Venue: Biosensors bioelectronics

Analytical methods for detection and quantitation of chloramphenicol in blood serum and foodstuffs arse highly in demand. In this study, a colorimetric sandwich aptamer based sensor (aptasensor) was fabricated for sensitive and selective detection of chloramphenicol, based on an indirect competitive enzyme free assay using gold nanoparticles (AuNPs) biotin and streptavidin. The designed aptasensor acquires characteristics of AuNPs, including large surface area and unique optical properties, and strong interaction of biotin with streptavidin. In the absence of chloramphenicol, the sandwich structure of aptasensor forms, leading to the observation of sharp red color. In the presence of target, functionalized AuNPs could not bind to 96 well plates, resulting in a faint red color. The fabricated colorimetric aptasensor exhibited high selectivity toward chloramphenicol with a limit of detection as low as 451 pM. Moreover, the developed colorimetric aptasensor was successfully used to detect chloramphenicol in milk and serum with LODs of 697 and 601 pM, respectively.
Three questions on China's "Belt and Road Initiative"

Three broad questions about China's "Belt and Road Initiative" are raised. First, what are likely to be the real objectives behind the Initiative? Second, are investment and trade, considered the "major task" of the Initiative by China, to be driven by market based transactions, or will they be a form of foreign aid that is not based on economic calculation of gains and losses? Third, which of the 60 or so countries in Asia, Europe and Africa along the Belt and Road will likely be the Initiative's priority targets of economic cooperation?
Understanding China's Belt Road Initiative: Motivation, framework and assessment

The Belt Road Initiative is China's greatest international economic ambition, aiming at stimulating economic development in a vast region covering sub regions in Asia, Europe and Africa, which accounts for 64% of world population and 30% of world GDP. The Initiative is devised to reconfigure China's external sector in order to continue its strong growth. While infrastructure development plays a central role, the Belt Road Initiative is a comprehensive one, including also policy dialogue, unimpeded trade, financial support and people to people exchange. It is too early to assess the impact of this ambitious Initiative. It certainly has the potential of turning the underdeveloped "Belt Road" region into a new vibrant economic pillar and contributing to economic policy thinking by incorporating successful experiences of emerging market economies. However, the Initiative also faces very high barriers, including lack of central coordination mechanism, potential clash of different political regimes and beliefs and financial viability of cross border projects.
Offensive for defensive: the belt and road initiative and China's new grand strategy

's Belt and Road initiative came from the combined pressure of slowing down of Chinese economy, US pivot to Asia and deterioration of the relations with neighboring countries after weathering the storm of the Global Financial Crisis of 2008. It also symbolizes a more proactive approach of Chinese new leader Xi Jinping in meeting the expectation on China's international obligation and leadership. Aimed to link Asia, Europe, Africa and Oceania, the initiative provides tremendous opportunities of international economic cooperation. The paper argues that as China's contribution to international public goods, it is in the line of economic liberalism; as China's grand strategy, it is more of defensive than offensive by nature. Despite risks and uncertainties exist, the enforcement will boost China's influence and position in regional and international institutions. US should consider making more strategic space to the rising China, and a better coordinated China US relations will make Asia Pacific a safer and more promising region.