nils-herrmann/clean_scirepeval huggingface dataset:
Towards effective science diplomacy practice: POLICY BRIEF #2, JANUARY 2020
Year: 2020

Grand societal challenges require collective action within and across national borders. Effective action is expected from Europe and it requires targeted inter governmental and diplomatic efforts and the mobilisation of appropriate scientific knowledge. Science Diplomacy is a promising mechanism to address these grand societal challenges. We understand science diplomacy generally as collaborations between stakeholders from science, policy and diplomacy, which involve various governmental or diplomatic organisations as well as non governmental scientific organisations. The complexity arising from the existing variety of mechanisms and stakeholders precludes a clear cut definition of who should 'do' science diplomacy in what way. And many stakeholders that could be labelled 'science diplomacy organisation' would not do so themselves. This presents challenges for organising the governance of science diplomacy. We suggest here that governing mechanisms for science diplomacy in Europe must observe four premises to be effective. These premises include (a) grand societal challenges require both diplomatic efforts and science based knowledge, (b) sciencebased knowledge production is diverse and evolving, (c) diplomacy means reconciling a variety of interests, and (d) Science Diplomacy requires combined science and diplomacy literacy. These premises set the stage for the development of governance mechanisms for science diplomacy. Taken seriously, they lead to governance practices that do not pre define what science diplomacy is, but give interested stakeholders the guidance they need to develop effective science diplomacy mechanisms themselves. This will be presented in a later policy recommendation brief.
Artificial experiments in economics, with agent based models
Year: 2007

We introduce here a small set of artificial experiments in social science and a simplified tool useful to develop them in the perspective of the analysis of complex systems, with different degrees of cognitive definition of agents' behavior. The straightforward way to build this kind of structures requires the use of agent based simulation techniques, i.e. models in which small software routines behave representing artificial agents within artificial environments, and ecosystems are built that allow the emergence of institutions such as market, organizations, hierarchal structures. jESOF (java Enterprise Simulation Open Foundations, web.econ.unito.it/terna/jes) is a tool created with the aim of simplifying for social scientists the access to agent based simulation, that does not require to be high level specialized computer scientists. This kind of research is in a middle point amid an applied work and a theoretical speculation because we can use this line of analysis both to model actual situations, analyzing also the effects of changes, and to build abstract structures of interacting units, firms or districts, to simulate emerging behavior. The application to the actual world is also useful to collect facts and situations to be used as stylized template into the theoretical framework. The two examples presented in this analysis show that it is relatively easy to develop models with jESOF and that we are virtually unconstrained in the definition of the related contents. The first model is a test implementation of the well known Preys Predators Model (PPM) with the capability of introducing non only two, but three or more interacting levels (hyperpredators etc. The second model is based upon two coevolving population: Workers, with their Skills, and Firms (WSF) the two populations have quasi independent behaviors, based on a closely bounded rationality paradigm. In perspective, the goal is that of discovering what happens if we introduce a more consistent behavior in a cognitive perspective, also evolving agents' rules with soft computing techniques such as classifier systems or neural networks, using in this case the Cross Targets technique. General Hypothesis (GH) for agent based models To develop cognitive agent based experiments, we introduce the following general hypothesis (GH) an agent, acting in an economic environment, must develop and adapt her capability of evaluating, in a coherent way, (1) what she has to do in order to obtain a specific result and (2) how to foresee the consequences of her actions. The same is true if the agent is interacting with other agents. Beyond this kind of internal consistency (IC) agents can develop other characteristics, for example the capability of adopting actions (following external proposals,
Deconstructing The Polyclonal Antibody Response To Dengue Virus
Year: 2015

Title of Document: DECONSTRUCTING THE POLYCLONAL ANTIBODY RESPONSE TO DENGUE VIRUS Laura Anne VanBlargan, Doctor of Philosophy, 2015 Directed By: Dr. Theodore Pierson, Adjunct Professor, and Dr. Anne Simon, Department of Cell Biology and Molecular Genetics Dengue viruses are mosquito borne flaviviruses that circulate in nature as four related serotypes (DENV1 4) These emerging pathogens are responsible for an estimated 390 million human infections each year. The outcome of human DENV infection ranges from clinically inapparent disease ~75% of infections) to a self limiting febrile illness, to severe disease characterized by hemorrhage and shock. Severe clinical manifestations of disease are predominantly associated with secondary infections by a heterotypic DENV serotype. The increased risk of severe disease in DENV sensitized populations significantly complicates vaccine development, as a vaccine should confer protection against all four DENV serotypes. As the development of a neutralizing antibody response is a correlate of protection for successful vaccines for several other flaviviruses, eliciting a protective tetravalent neutralizing antibody response is a major goal of ongoing DENV vaccine development efforts. Understanding the neutralizing antibody response to infection and vaccination is an important step toward the development and evaluation of safe DENV vaccines. While considerable insights have been gained from studies of monoclonal antibodies, the individual contributions and dynamics of the repertoire of circulating antibody specificities elicited by infection and vaccination are poorly understood on a functional and molecular level. We studied human polyclonal antibody responses elicited by monovalent DENV1 vaccination and sought to identify epitopes recognized by serotype specific neutralizing antibodies. DENV1 structural gene variants were produced and screened for reduced sensitivity to neutralization by DENV1 sera but unaltered sensitivity to control antibodies. We identified amino acid residues that contribute significantly to type specific recognition by polyclonal DENV1 immune sera. These findings provide an important step towards deconvoluting the functional complexity of DENV serology following vaccination. DECONSTRUCTING THE POLYCLONAL ANTIBODY RESPONSE TO DENGUE VIRUS
Adulterant identification in mutton by electronic nose and gas chromatography mass spectrometer
Venue: Food Control
Year: 2019

Battling meat adulteration is essential in preserving both public health and a fair market. This study depicts a method of reducing adulteration in meats, in which Electronic nose (E nose) and gas chromatography mass spectrometer (GC MS) were applied to identify adulterants in mutton. Duck meat was selected as a model adulterant due to its lower cost and similarity in flavor to mutton, as well as being frequently adulterated in China. Qualitative and quantitative analysis were conducted using linear regression, fisher linear discriminant analysis (FLDA) and multilayer perceptron neural networks analysis (MLPN) on E nose signals. Several fingerprint volatile organic chemicals (VOC) were identified by GC MS to validate the E nose results. Multivariate partial least square regression (PLS) was carried out to study the relationships between GC MS and E nose. The results of GC MS confirmed that E nose can be used to identify duck adulteration in mutton, with a minimum detection ratio of 10% This method proved that rapid detection of mutton adulterated duck meat using E nose has a high accuracy, which has reduced detecting time and improved detection efficiency.
Chordal Graphs and Semidefinite Optimization
Venue: Found. Trends Optim.
Year: 2015

Chordal graphs play a central role in techniques for exploiting sparsityin large semidefinite optimization problems and in related convexoptimization problems involving sparse positive semidefinite matrices.Chordal graph properties are also fundamental to several classicalresults in combinatorial optimization, linear algebra, statistics,signal processing, machine learning, and nonlinear optimization. Thissurvey covers the theory and applications of chordal graphs, with anemphasis on algorithms developed in the literature on sparse Choleskyfactorization. These algorithms are formulated as recursions on eliminationtrees, supernodal elimination trees, or clique trees associatedwith the graph. The best known example is the multifrontal Choleskyfactorization algorithm, but similar algorithms can be formulated fora variety of related problems, including the computation of the partialinverse of a sparse positive definite matrix, positive semidefinite andEuclidean distance matrix completion problems, and the evaluation ofgradients and Hessians of logarithmic barriers for cones of sparse positivesemidefinite matrices and their dual cones. The purpose of thesurvey is to show how these techniques can be applied in algorithmsfor sparse semidefinite optimization, and to point out the connectionswith related topics outside semidefinite optimization, such as probabilisticnetworks, matrix completion problems, and partial separabilityin nonlinear optimization.
BCG vaccination induced suppurative lymphadenitis: four signs to pay attention to
Venue: International wound journal
Year: 2017

Suppurative lymphadenitis is one of the severe complication after BCG vaccination, but its diagnostic criteria and treatment guidelines have not yet been established. In this article, we describe a case of suppurative lymphadenitis caused by BCG vaccination and propose diagnostic criteria and treatment guidelines of the disease. The lymphadenitis was presented as skin involving mass and was completely extirpated. Pathological evaluation revealed a necrotising lymphadenitis, consistent with the diagnosis of BCG lymphadenitis. The patient was administered adjuvant medical treatment with anti TB medications (Isoniazid and Rifampicin) for 3 months. At 6 months follow up, the disease was in complete remission without complications. We recommend focus on the following four signs when diagnosing BCG lymphadenitis: (i) previous history of vaccination on the ipsilateral side of the lesion, (ii) absence of any other infection signs, (iii) absence of fever and (iv) isolated axillary or supraclavicular/cervical lymph node enlargement proven by ultrasonography or computed tomography scan. BCG vaccination induced suppurative lymphadenitis can easily be overlooked, but prompt, accurate diagnosis followed by appropriate surgical resection should result in complete healing as in this case.
Analysis of the Energy Based Swing up Control for a Double Pendulum on a Cart
Year: 2008

Designing and analyzing controllers for underactuated systems with underactuation degree greater than one is still an open and challenging problem. In this paper, we study an unsolved problem of analyzing energy based swing up control for a double pendulum on a cart, which has three degrees of freedom and only one control input. We present an original analysis of the convergence of the energy of the cart double pendulum system. We show that for all initial states of the cart double pendulum system, if the convergent value of the energy is not equal to the energy at the upright (up up) equilibrium point, then the cart double pendulum remains at its up down, down up, and down down equilibrium points. Moreover, we show that these three equilibrium points are unstable. This shows that for almost all initial states of the cart double pendulum system, as time approaches infinity, the energy of the cart double pendulum system can be controlled to its energy at the upright equilibrium point. This paper provides insight into the energy based control approach to underactuated systems with underactuation degree greater than one.
Milbeaut ISP for Digital Cameras
Year: 2013

The Milbeaut image signal processor (ISP) enables a digital camera system to be implemented on a chip. It can process signals from a variety of image sensors, perform enhanced quality image processing, and store 20 megapixel plus still images and full high definition (Full HD) video. This paper introduces the MB91696AM ISP, the sixth generation of the Milbeaut series. It features high speed continuous shooting and Full HD video capture thanks to a newly developed high speed signal processing platform. It provides enhanced noise reduction performance and optical correction functions that have been improved with every Milbeaut generation and incorporates general purpose image processing macros to satisfy market demands. As a processor that provides high performance and high quality processing of still images to Full HD video as desired by today's camera users, the MB91696AM has come to be used in many digital cameras that require a high pixel count, high speed processing, and multi functionality.
Vibration parameters optimum of 316L steel laser welding under high frequency micro vibration condition
Year: 2019

High frequency micro vibration combined with laser was applied in the test. Effect of vibration parameters on the mechanical and micro structure of High Frequency Micro vibration laser welded 316L steel were investigated. The best laser welding process parameters were chosen by comparison of weld geometry. In detail, laser power (P) is 2.5 kW, welding speed (V) is 1.2 m min 1, defocusing amount (DA) is 5 mm. Three parameters including frequency (F) vibration acceleration (A) and angle (th) were changed according to the orthogonal test scheme. The microstructure and the tensile properties of the welded joint were compared and analyzed. The morphology of weld tail was analyzed to describe hole stability. It was found that micro structure and mechanical of joint was significantly influenced by A and F. In the case of vibration resonance, the higher the F, the better the ultimate tensile strength (UTS) and the higher the hardness. When F was 1360 Hz, UTS was 602 MPa. When A was increased from 10 to 60 m s 2, the UTS was improved by 10 MPa. HW and HL were even disappeared in a higher resonance state. Response surface analysis results showed that factors of F and A have significant effects on the width of weld. Width was increased by 3 mm. The effect of th on width was little. It was obtained that optimum process parameters were F 1360 Hz, A 60 m s 2 and th 90deg. UTS was 602 MPa, hardness was 214.5 Hv, and elongation was 40% This is mainly due to the grain refinement strengthening.
The simultaneous low state spectral energy distribution of 1ES 2344+514 from radio to very high energies
Year: 2013

BL Lacertae objects are variable at all energy bands on time scales down to minutes. To construct and interpret their spectral energy distribution (SED) simultaneous broad band observations are mandatory. Up to now, the number of objects studied during such campaigns is very limited and biased towards high flux states.  We present the results of a dedicated multi wavelength study of the high frequency peaked BL Lacertae (HBL) object and known TeV emitter 1ES 2344+514 by means of a pre organised campaign.  The observations were conducted during simultaneous visibility windows of MAGIC and AGILE in late 2008. The measurements were complemented by Mets hovi, RATAN 600, KVA+Tuorla, Swift and VLBA pointings. Additional coverage was provided by the ongoing long term F GAMMA and MOJAVE programs, the OVRO 40 m and CrAO telescopes as well as the Fermi satellite. The obtained SEDs are modelled using a one zone as well as a self consistent two zone synchrotron self Compton model.  1ES 2344+514 was found at very low flux states in both X rays and very high energy gamma rays. Variability was detected in the low frequency radio and X ray bands only, where for the latter a small flare was observed. The X ray flare was possibly caused by shock acceleration characterised by similar cooling and acceleration time scales. MOJAVE VLBA monitoring reveals a static jet whose components are stable over time scales of eleven years, contrary to previous findings. There appears to be no significant correlation between the 15 GHz and R band monitoring light curves. The observations presented here constitute the first multi wavelength campaign on 1ES 2344+514 from radio to VHE energies and one of the few simultaneous SEDs during low activity states. The quasi simultaneous Fermi LAT data poses some challenges for SED modelling, but in general the SEDs are described well by both applied models. The resulting parameters are typical for TeV emitting HBLs. Consequently it remains unclear whether a so called quiescent state was found in this campaign.
Towards a European health research and innovation cloud (HRIC)
Venue: Genome Medicine
Year: 2020

The European Union (EU) initiative on the Digital Transformation of Health and Care (Digicare) aims to provide the conditions necessary for building a secure, flexible, and decentralized digital health infrastructure. Creating a European Health Research and Innovation Cloud (HRIC) within this environment should enable data sharing and analysis for health research across the EU, in compliance with data protection legislation while preserving the full trust of the participants. Such a HRIC should learn from and build on existing data infrastructures, integrate best practices, and focus on the concrete needs of the community in terms of technologies, governance, management, regulation, and ethics requirements. Here, we describe the vision and expected benefits of digital data sharing in health research activities and present a roadmap that fosters the opportunities while answering the challenges of implementing a HRIC. For this, we put forward five specific recommendations and action points to ensure that a European HRIC: i) is built on established standards and guidelines, providing cloud technologies through an open and decentralized infrastructure; ii) is developed and certified to the highest standards of interoperability and data security that can be trusted by all stakeholders; iii) is supported by a robust ethical and legal framework that is compliant with the EU General Data Protection Regulation (GDPR) iv) establishes a proper environment for the training of new generations of data and medical scientists; and v) stimulates research and innovation in transnational collaborations through public and private initiatives and partnerships funded by the EU through Horizon 2020 and Horizon Europe.
Video Interpolation via Generalized Deformable Convolution
Venue: ArXiv
Year: 2020

Video interpolation aims at increasing the frame rate of a given video by synthesizing intermediate frames. The existing video interpolation methods can be roughly divided into two categories: flow based methods and kernel based methods. The performance of flow based methods is often jeopardized by the inaccuracy of flow map estimation due to oversimplified motion models while that of kernel based methods tends to be constrained by the rigidity of kernel shape. To address these performance limiting issues, a novel mechanism named generalized deformable convolution is proposed, which can effectively learn motion information in a data driven manner and freely select sampling points in space time. We further develop a new video interpolation method based on this mechanism. Our extensive experiments demonstrate that the new method performs favorably against the state of the art, especially when dealing with complex motions.
IMPLEMENTASI PERATURAN MENTERI PENDAYAGUNAAN APARATUR NEGARA DAN REFORMASI BIROKRASI REPUBLIK INDONESIA NOMOR 83 TAHUN 2012 TENTANG PEDOMAN PEMANFAATAN MEDIA SOSIAL INSTANSI PEMERINTAH OLEH PEGAWAI DI DINAS KOMUNIKASI DAN INFORMATIKA KABUPATEN CIAMIS
Year: 2019

ABSTRAK Peraturan Menteri Pendayagunaan Aparatur Negara Dan Reformasi Birokrasi Republik Indonesia Nomor 83 Tahun 2012 Tentang Pedoman Pemanfaatan Media Sosial Instansi Pemerintah merupakan salah satu acuan bagi instansi pemerintah di Indonesia dalam memanfaatkan media sosial sebagai sarana komunikasi dan penyampaian informasi kepada publik. Penelitian ini bertujuan untuk mengetahui pelaksanaan, hambatan hambatan serta upaya upaya yang terjadi dalam mengimplementasikan Peraturan Menteri Pendayagunaan Aparatur Negara Dan Reformasi Birokrasi Republik Indonesia Nomor 83 Tahun 2012 Tentang Pedoman Pemanfaatan Media Sosial Instansi Pemerintah oleh pegawai di Dinas Komunikasi Dan Informatika Kabupaten Ciamis. Metode yang digunakan dalam penelitian ini adalah deskriptif kualitatif melaui studi kepustakaan dan studi lapangan. Sebagai salah satu instansi pemerintah yang mengimplementasikan kebijakan tersebut, dalam pelaksanaannya, masih terdapat kendala kendala yang dihadapi sehingga implementasi Peraturan Menteri Pendayagunaan Aparatur Negara Dan Reformasi Birokrasi Republik Indonesia Nomor 83 Tahun 2012 Tentang Pedoman Pemanfaatan Media Sosial Instansi Pemerintah oleh pegawai di Dinas Komunikasi Dan Informatika Kabupaten Ciamis belum optimal.  Implementasi Kebijakan
Detecting the overlapping and hierarchical community structure in complex networks
Year: 2009

Many networks in nature, society and technology are characterized by a mesoscopic level of organization, with groups of nodes forming tightly connected units, called communities or modules, that are only weakly linked to each other. Uncovering this community structure is one of the most important problems in the field of complex networks. Networks often show a hierarchical organization, with communities embedded within other communities; moreover, nodes can be shared between different communities. Here, we present the first algorithm that finds both overlapping communities and the hierarchical structure. The method is based on the local optimization of a fitness function. Community structure is revealed by peaks in the fitness histogram. The resolution can be tuned by a parameter enabling different hierarchical levels of organization to be investigated. Tests on real and artificial networks give excellent results.
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real Time Object Detection for Autonomous Driving
Venue: 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2017

Object detection is a crucial task for autonomous driving. In addition to requiring high accuracy to ensure safety, object detection for autonomous driving also requires realtime inference speed to guarantee prompt vehicle control, as well as small model size and energy efficiency to enable embedded system deployment. In this work, we propose SqueezeDet, a fully convolutional neural network for object detection that aims to simultaneously satisfy all of the above constraints. In our network we use convolutional layers not only to extract feature maps, but also as the output layer to compute bounding boxes and class probabilities. The detection pipeline of our model only contains a single forward pass of a neural network, thus it is extremely fast. Our model is fullyconvolutional, which leads to small model size and better energy efficiency. Finally, our experiments show that our model is very accurate, achieving state of the art accuracy on the KITTI [10] benchmark. The source code of SqueezeDet is open source released.