nils-herrmann/clean_scirepeval huggingface dataset:
Balancing performance measures for information security management: A balanced scorecard framework

To provide useful references for manufacturing industry which guide the linkage of business strategies and performance indicators for information security projects.  This study uses balanced scorecard (BSC) framework to set up performance index for information security management in organizations. Moreover, BSC used is to strengthen the linkage between foundational performance indicators and progressive business strategy theme.  The general model of information security management builds the strategy map with 12 strategy themes and 35 key performance indicators are established. The development of strategy map also express how to link strategy themes to key performance indicators.  The investigation of listed manufacturing companies in Taiwan may limit the application elsewhere.  Traditional performance measurement system like return on investment, sales growth is not enough to describe and manage intangible assets. This study based on BSC to measure information security management performance can provide the increasing value from improving measures and management insight in modern business.  This study combines the information security researches and organizational performance studies. The result helps organizations to assess values of information security projects and consider how to link projects performance to business strategies.
Connecting ROS to a real-time control framework for embedded computing

Modern robotic systems tend to get more complex sensors at their disposal, resulting in complex algorithms to process their data. For example, camera images are being used map their environment and plan their route. On the other hand, the robotic systems are becoming mobile more often and need to be as energy-efficient as possible; quadcopters are an example of this. These two trends interfere with each other: Data-intensive, complex algorithms require a lot of processing power, which is in general not energy-friendly nor mobile-friendly. In this paper, we describe how to move the complex algorithms to a computing platform that is not part of the mobile part of the setup, i.e. to offload the processing part to a base station. We use the ROS framework for this, as ROS provides a lot of existing computation solutions. On the mobile part of the system, our hard real-time execution framework, called LUNA, is used, to make it possible to run the loop controllers on it. The design of a `bridge node' is explained, which is used to connect the LUNA framework to ROS. The main issue to tackle is to subscribe to an arbitrary ROS topic at run-time, instead of defining the ROS topics at compile-time. Furthermore, it is shown that this principle is working and the requirements of network bandwidth are discussed.
Towards a Data Quality Framework for Heterogeneous Data

Every industry has significant data output as a product of their working process, and with the recent advent of big data mining and integrated data warehousing it is the case for a robust methodology for assessing the quality for sustainable and consistent processing. In this paper a review is conducted on Data Quality (DQ) in multiple domains in order to propose connections between their methodologies. This critical review suggests that within the process of DQ assessment of heterogeneous data sets, not often are they treated as separate types of data in need of an alternate data quality assessment framework. We discuss the need for such a directed DQ framework and the opportunities that are foreseen in this research area and propose to address it through degrees of heterogeneity.
Exposing forgeries in soccer images using geometric clues

In this study, new algorithms are proposed for exposing forgeries in soccer images. We propose a new and automatic algorithm to extract the soccer field, field side and the lines of field in order to generate an image of real lines for forensic analysis. By comparing the image of real lines and the lines in the input image, the forensic analyzer can easily detect line displacements of the soccer field. To expose forgery in the location of a player, we measure the height of the player using the geometric information in the soccer image and use the inconsistency of the measured height with the true height of the player as a clue for detecting the displacement of the player. In this study, two novel approaches are proposed to measure the height of a player. In the first approach, the intersections of white lines in the soccer field are employed for automatic calibration of the camera. We derive a closed-form solution to calculate different camera parameters. Then the calculated parameters of the camera are used to measure the height of a player using an interactive approach. In the second approach, the geometry of vanishing lines and the dimensions of soccer gate are used to measure a player height. Various experiments using real and synthetic soccer images show the efficiency of the proposed algorithms.
Attenuation Correction for Brain PET imaging using Deep Neural Network based on Dixon and ZTE MR images

Positron emission tomography (PET) is a functional imaging modality widely used in neuroscience studies. To obtain meaningful quantitative results from PET images, attenuation correction is necessary during image reconstruction. For PET/MR hybrid systems, PET attenuation is challenging as magnetic resonance (MR) images do not reflect attenuation coefficients directly. To address this issue, we present deep neural network methods to derive the continuous attenuation coefficients for brain PET imaging from MR images. With only Dixon MR images as the network input, the existing U-net structure was adopted and analysis using forty patient data sets shows it is superior to other Dixon-based methods. When both Dixon and zero echo time (ZTE) images are available, we have proposed a modified U-net structure, named GroupU-net, to efficiently make use of both Dixon and ZTE information through group convolution modules when the network goes deeper. Quantitative analysis based on fourteen real patient data sets demonstrates that both network approaches can perform better than the standard methods, and the proposed network structure can further reduce the PET quantification error compared to the U-net structure.
The impact of parenting stress: a meta-analysis of studies comparing the experience of parenting stress in parents of children with and without autism spectrum disorder.

Researchers commonly report that families of children with autism spectrum disorder (ASD) experience more parenting stress than families of typically developing (TD) children or those diagnosed with other disabilities [e.g., Down syndrome (DS), cerebral palsy, intellectual disability]. The authors reexamined the research using comparison groups to investigate parenting stress and conducted a meta-analysis to pool results across studies. The experience of stress in families of children with ASD versus families of TD children resulted in a large effect size. Comparisons between families of children of ASD and families with other disabilities also generated a large effect size however, this result should be interpreted with caution as it may be associated with the specific experience of parenting a child with DS.
Implementation of computer vision algorithms for position correction of chip-mounter machine

Chip mounter is a machine in SMT Line that has the task of picking and placing SMD components onto a PCB that has been coated with solder paste. To be able to place SMD components accurately and rapidly onto PCB, it is necessary to have a desciption on the location the chip to be placed on the PCB, the current position of the chip, and the current position of the chip footprint on the board. This paper describes the steps that have been designed and implemented to meet the 3 requirements mentioned by using a digital microscope camera as a downward vision and the use of image processing algorithms as the computer vision feature of the chip-mounter. In the image processing algorithms used here, color thresholding in HSV color model for object selection is incorporated. In order to sharpen the result of object selection, morphological opening and closing are invoked. Canny operator is used to get the edge of the object. Upon contouring the object, the centroid location of the selected object can subsequently be calculated. As shown during the test, the computer vision method implemented in this work is capable of producing data required by the chip-mounter to do position correction if there is non-uniformity errors of the pattern on the PCB panel.
Expression transfer: A system to build 3D blend shapes for facial animation

Blending face geometry in different expressions is a popular approach for facial animation in films and games. The quality of the animation relies on the set of blend shape expressions, and creating sufficient blend shapes takes a large amount of time and effort. This paper presents a complete pipeline to create a set of blend shapes in different expressions for a face mesh having only a neutral expression. A template blend shapes model having sufficient expressions is provided and the neutral expression of the template mesh model is registered into the target face mesh using a non-rigid ICP (iterative closest point) algorithm. Deformation gradients between the template and target neutral mesh are then transferred to each expression to form a new set of blend shapes for the target face. We solve optimization problem to consistently map the deformation of the source blend shapes to the target face model. The result is a new set of blend shapes for a target mesh having triangle-wise correspondences between the source face and target faces. After creating blend shapes, the blend shape animation of the source face is retargeted to the target mesh automatically.
The WiLI benchmark dataset for written language identification

This paper describes the WiLI-2018 benchmark dataset for monolingual written natural language identification. WiLI-2018 is a publicly available,1 free of charge dataset of short text extracts from Wikipedia. It contains 1000 paragraphs of 235 languages, totaling in 235 000 paragraphs. WiLI is a classification dataset: Given an unknown paragraph written in one dominant language, it has to be decided which language it is.
Economic , social , and environmental sustainability in development theory and urban planning practice

In ten years, more than half the world’s population will be living in cities. The United Ž . Nations UN has stated that this will threaten cities with social conflict, environmental degradation and the collapse of basic services. The economic, social, and environmental planning practices of societies embodying ‘urban sustainability’ have been proposed as antidotes to these negative urban trends. ‘Urban sustainability’ is a doctrine with diverse origins. The author believes that the alternative models of cultural development in Curitiba, Brazil, Kerala, India, and Nayarit, Mexico embody the integration and interlinkage of economic, social, and environmental sustainability. Curitiba has become a more livable city by building an efficient intra-urban bus system, expanding urban green space, and meeting the basic needs of the urban poor. Kerala has attained social harmony by emphasizing equitable resource distribution rather than consumption, by restraining reproduction, and by attacking divisions of race, caste, religion, and gender. Nayarit has sought to balance development with the environment by framing a nature-friendly development plan that protects natural systems from urban development and that involves the public in the development process. A detailed examination of these alternative cultural development models reveals a myriad of possible means by which economic, social, and environmental sustainability might be advanced in practice. The author concludes that while these examples from the developing world cannot be directly translated to cities in the developed world, they do indicate in a general sense the imaginative policies that any society must foster if it is to achieve ‘urban sustainability’.
An efficient data replication and load balancing technique for fog computing environment

The technological environment is a competitive ground used by IT industries for provisioning Cloud services. It is essential for the organizations to facilitate higher availability of quality services, computing resources and faster delivery. Fog computing can work with much the same Cloud computing in promoting faster IT services. The incorporation looks after affording, maintaining and provisioning of resources like storage space, hardware virtualization, high-capacity networks, service-oriented architectures, autonomic and utility computing etc, proximal to the access point. The maximal uniform distribution of the load across closer and more number of simpler nodes can help managing and providing the big data and large workloads more easily. The paper proposes an efficient load balancing algorithm for a Fog-Cloud based architecture. The algorithm uses data replication technique for maintaining data in Fog networks which reduces overall dependency on big data centers. A comparison of present load balancing techniques in `Cloud-based' infrastructure to the presented `Cloud-Fog' duo is also shown. The ultimate goal is to balance load through Fog networks and make internet less Cloud dependent by having data available closer to the user end.
Brown's original fictitious play

What modern game theorists describe as “fictitious play” is not the learning process George W. Brown defined in his 1951 paper. Brown’s original version differs in a subtle detail, namely the order of belief updating. In this note we revive Brown’s original fictitious play process and demonstrate that this seemingly innocent detail allows for an extremely simple and intuitive proof of convergence in an interesting and large class of games: nondegenerate ordinal potential games.
An attachment-based model of complicated grief including the role of avoidance

Complicated grief is a prolonged grief disorder with elements of a stress response syndrome. We have previously proposed a biobehavioral model showing the pathway to complicated grief. Avoidance is a component that can be difficult to assess and pivotal to treatment. Therefore we developed an avoidance questionnaire to characterize avoidance among patients with CG. We further explain our complicated grief model and provide results of a study of 128 participants in a treatment study of CG who completed a 15-item Grief-related Avoidance Questionnaire (GRAQ). Mean (SD) GRAQ score was 25. 0 ± 12.5 with a range of 0–60. Cronbach’s alpha was 0.87 and test re-test correlation was 0.88. Correlation analyses showed good convergent and discriminant validity. Avoidance of reminders of the loss contributed to functional impairment after controlling for other symptoms of complicated grief. In this paper we extend our previously described attachment-based biobehavioral model of CG. We envision CG as a stress response syndrome that results from failure to integrate information about death of an attachment figure into an effectively functioning secure base schema and/or to effectively re-engage the exploratory system in a world without the deceased. Avoidance is a key element of the model.
3D hollow nanostructures as building blocks for multifunctional plasmonics.

We present an advanced and robust technology to realize 3D hollow plasmonic nanostructures which are tunable in size, shape, and layout. The presented architectures offer new and unconventional properties such as the realization of 3D plasmonic hollow nanocavities with high electric field confinement and enhancement, finely structured extinction profiles, and broad band optical absorption. The 3D nature of the devices can overcome intrinsic difficulties related to conventional architectures in a wide range of multidisciplinary applications.
Correction of a pathogenic gene mutation in human embryos

Genome editing has potential for the targeted correction of germline mutations. Here we describe the correction of the heterozygous MYBPC3 mutation in human preimplantation embryos with precise CRISPR–Cas9-based targeting accuracy and high homology-directed repair efficiency by activating an endogenous, germline-specific DNA repair response. Induced double-strand breaks (DSBs) at the mutant paternal allele were predominantly repaired using the homologous wild-type maternal gene instead of a synthetic DNA template. By modulating the cell cycle stage at which the DSB was induced, we were able to avoid mosaicism in cleaving embryos and achieve a high yield of homozygous embryos carrying the wild-type MYBPC3 gene without evidence of off-target mutations. The efficiency, accuracy and safety of the approach presented suggest that it has potential to be used for the correction of heritable mutations in human embryos by complementing preimplantation genetic diagnosis. However, much remains to be considered before clinical applications, including the reproducibility of the technique with other heterozygous mutations.
Heart disease and stroke statistics--2013 update: a report from the American Heart Association.

on behalf of the American Heart Association Statistics Committee and Stroke Statistics Virani, Nathan D. Wong, Daniel Woo and Melanie B. Turner Nina P. Paynter, Pamela J. Schreiner, Paul D. Sorlie, Joel Stein, Tanya N. Turan, Salim S. Darren K. McGuire, Emile R. Mohler, Claudia S. Moy, Michael E. Mussolino, Graham Nichol, Lynda D. Lisabeth, David Magid, Gregory M. Marcus, Ariane Marelli, David B. Matchar, Mark D. Huffman, Brett M. Kissela, Steven J. Kittner, Daniel T. Lackland, Judith H. Lichtman,  Fullerton, Cathleen Gillespie, Susan M. Hailpern, John A. Heit, Virginia J. Howard, Franco, William B. Borden, Dawn M. Bravata,  J. Benjamin, Jarett D. Berry, Association 2013 Update : A Report From the American Heart −− Heart Disease and Stroke Statistics
High-Temperature Winkler Gasification of Municipal Solid Waste

The High-Temperature Winkler (HTW) process developed by Rheinbraun is a fluidised-bed gasification process particularly suitable for various types of lignite, other reactive and ballast-rich coal types, biomass and different types of pre-treated residual waste. Depending on the application, the HTW process can be used for efficient conversion of these feedstocks to produce fuel gas, reduction gas or synthesis gas. The co-gasification of pre-treated municipal solid waste (of differing origins) and lignite was demonstrated in a commercial scale during normal production in the HTW demonstration plant at Berrenrath, Germany. Approx. 1,000 metric tons of pre-treated municipal solid waste was gasified without any problems together with dried lignite in the three test campaigns. The gasifier operated to the full satisfaction of all partners throughout the test campaigns. The demonstration project yielded useful operating experience and process engineering data (e.g. energy and mass balances, gas composition, emission estimates) and provided engineering reliability for the design of future plants and an important reference for further applications, most recently for MSW gasification in Japan. The Krupp Uhde PreCon process applies the High-Temperature-Winkler (HTW) gasification as a core technology for processing solid wastes, e.g. municipal solid waste, sewage sludge, auto shredder residue or residues from plastic recycling processes. The modules used are based on those used in mechanical pre-treatment and coal gasification being tested successfully in commercial plants for several years.
Elimination of transformer magnetizing current offset for digitally controlled phase-shift full-bridge converter

A transformer magnetizing current offset for a phase-shift full-bridge (PSFB) converter is dealt in this paper. A model of this current offset is derived and it is presented as a first order system having a pole at a low frequency when the effects from the parasitic components and the switching transition are considered. A digital offset compensator eliminating this current offset is proposed and designed considering the interference in an output voltage regulation. The performances of the proposed compensator are verified by experiments with a 1.2kW PSFB converter. The saturation of the transformer is prevented by this compensator.
An investigation of the structural, connectional, and functional subspecialization in the human amygdala.

Although the amygdala complex is a brain area critical for human behavior, knowledge of its subspecialization is primarily derived from experiments in animals. We here employed methods for large-scale data mining to perform a connectivity-derived parcellation of the human amygdala based on whole-brain coactivation patterns computed for each seed voxel. Voxels within the histologically defined human amygdala were clustered into distinct groups based on their brain-wide coactivation maps. Using this approach, connectivity-based parcellation divided the amygdala into three distinct clusters that are highly consistent with earlier microstructural distinctions. Meta-analytic connectivity modelling then revealed the derived clusters' brain-wide connectivity patterns, while meta-data profiling allowed their functional characterization. These analyses revealed that the amygdala's laterobasal nuclei group was associated with coordinating high-level sensory input, whereas its centromedial nuclei group was linked to mediating attentional, vegetative, and motor responses. The often-neglected superficial nuclei group emerged as particularly sensitive to olfactory and probably social information processing. The results of this model-free approach support the concordance of structural, connectional, and functional organization in the human amygdala and point to the importance of acknowledging the heterogeneity of this region in neuroimaging research.
Methodology for the development of normative data for Spanish-speaking pediatric populations.

To describe the methodology utilized to calculate reliability and the generation of norms for 10 neuropsychological tests for children in Spanish-speaking countries.



The study sample consisted of over 4,373 healthy children from nine countries in Latin America (Chile, Cuba, Ecuador, Guatemala, Honduras, Mexico, Paraguay, Peru, and Puerto Rico) and Spain. Inclusion criteria for all countries were to have between 6 to 17 years of age, an Intelligence Quotient of≥80 on the Test of Non-Verbal Intelligence (TONI-2), and score of <19 on the Children's Depression Inventory. Participants completed 10 neuropsychological tests. Reliability and norms were calculated for all tests.



Test-retest analysis showed excellent or good- reliability on all tests (r's>0.55; p's<0.001) except M-WCST perseverative errors whose coefficient magnitude was fair. All scores were normed using multiple linear regressions and standard deviations of residual values. Age, age2, sex, and mean level of parental education (MLPE) were included as predictors in the models by country. The non-significant variables (p > 0.05) were removed and the analysis were run again.



This is the largest Spanish-speaking children and adolescents normative study in the world. For the generation of normative data, the method based on linear regression models and the standard deviation of residual values was used. This method allows determination of the specific variables that predict test scores, helps identify and control for collinearity of predictive variables, and generates continuous and more reliable norms than those of traditional methods.