Miracle-dz/UniFAR-FTUs huggingface dataset:
a free

In this article, we show that lay people's beliefs about how minds relate to bodies are more complex than past research suggests, and that treating them as a multidimensional construct helps explain inconclusive findings from the literature regarding their relation to beliefs about whether humans possess a free will. In two studies, we found that items previously used to assess a unidimensional belief in how minds relate to bodies indeed capture two distinguishable constructs (belief in substance dualism and reductive physicalism) that differently predict belief in free will and two types of determinism (Studies 1 and 2). Additionally, we found that two fundamental personality traits pertaining to people’s preference for experiential versus rational information processing predict those metaphysical beliefs that were theorized to be based on subjective phenomenological experience and rational deliberation, respectively (Study 2). In sum, beliefs about mind-body relations are a multidimensional construct with unique predictive abilities.
Differentiation Potential of Mesenchymal Stem Cells Derived from Adipose Tissue vs Bone Marrow Toward Annulus Fibrosus Cells In vitro.

BACKGROUND Bone marrow stem cells (BMSCs) and adipose-derived stem cells (ADSCs) are two types of stem cells that commonly used in exogenous tissue engineering as well as endogenous tissue repair, however which type of cell is superior remains unknown. OBJECTIVE This study was conducted to compare differentiation potential of BMSCs and ADSCs from Sprague-Dawley rats towards annulus fibrosus (AF)-like cells. METHOD Stem cells and AF cells were cocultured with direct cell-to-cell contact in coculture plates with 0.4m pore size up till 21 days. AF markers expression at the histological level and molecular level were evaluated by histological analysis and dimethplmethplene blue (DMMB) assay as well as quantitative reverse-transcription polymerase chain reaction (qRT-PCR). RESULTS qRT-PCR) results showed up regulation in AF marker gene expressions of both two MSCs after coculture. BMSCs demonstrated a statistically increased expression of collagen II and aggrecan from 7 days of coculture. However, these gene expressions in ADSCs showed a statistically increase at day 14 and day 21. And there was a statistically increase of Collagen I expression in BMSCs at 14 days and 21 days. But only after 21 days of coculture, ADSCs showed a statistically increase in collagen I expression. Moreover, histological analysis and dimethplmethplene blue (DMMB) assay mirrored the results of qRT-PCR. Morphologically, BMSCs became enlarged and triangular, while ADSCs were enlarged and rounded after coculture. CONCLUSION These findings suggested that BMSCs might be superior as a cell source for annulus fibrosus repair compared to ADSCs.
Knowledge transfer discussions: Paper 1.001 Business context

The role of knowledge, relative to the knowledge transfer process in a business context cannot be conclusively defined from the literature as a singular entity, but the interaction of knowledge and communication is shown to exist in many forms. Informed by a view from Dinur et. al (2009), a broad scope of literature inclusion encompasses the nature of knowledge, knowledge transfer, value of knowledge and the practical association between business success and competitive advantage. In accepting the position this literature direction encompasses epistemologically commonly acceptable realms of knowledge transfer in a business context. Insofar as these will be perceived to support understanding of knowledge transfer practices and processes. This scope allows a literature critique to concentrate on the foundational episteme of rational exogenous and endogenous business theories and models relating to knowledge transfer practices which can be examined thoroughly in relation to practical business context.
Poster: A Data-driven Study on Preferred Situations for Running

Citation for published version (APA): Wang, S. , Timmer, J. A. , Scheider, S. , Sporrel, K. , Akata, Z. , & Kröse, B. (2018). A Data-driven Study on Preferred Situations for Running. In UbiComp/ISWC '18 adjunct: proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and proceedings of the 2018 ACM International Symposium on Wearable Computers : October 8-12, 2018, Singapore, Singapore (pp. 283-286). New York, NY: The Association for Computing Machinery. https://doi.org/10.1145/3267305.3267552
DNS and LES of the Compressible Flow Over a Delta Wing With the Symmetry-Preserving Discretization

A fourth-order accurate symmetry-preserving discretization for compressible flow is used to perform simulations of the turbulent flow over a delta wing. A symmetry-preserving discretization eliminates the non-linear convective instability by preserving conservation of kinetic energy at the discrete level. This enhances the stability of a simulation method, so that little artificial dissipation is needed for numerical stability. It is shown that simulations of the flow over a sharp-edge delta wing at Re = 50,000 with the symmetry-preserving discretization are stable without artificial dissipation in a region of interest around the delta wing. To assess the accuracy of the simulation method, results obtained on a fine computational grid are compared with results obtained on a coarser grid. Also results obtained with large-eddy simulation models and with sixth-order artificial dissipation are presented.Copyright © 2014 by ASME
A framework for implementation of statistical process control

States that, in literature, hardly any practical methods, including both methodological and organizational aspects of implementing statistical process control (SPC), are described. Presents a method including both aspects. The methodological part consists of a ten-step method used by multi-disciplinary teams. The organizational part includes four phases and an organization structure to implement SPC. The method was applied successfully in various organizations. Discusses the experiences and underlying goals of the framework to enhance its applicability in various situations. Finally, attention is given to the use of SPC to set the stage for total quality management.
Harnessing the power of the oh-so-social web

Thanks to a variety of online social applications ? including blogs, social networking sites like MySpace, user-generated content sites like YouTube and countless communities across the Web ? people are increasingly connecting with and drawing power from one other. In fact, customers are now beginning to define their own perspective on companies and brands, a view that? s often at odds with the image a business wants to project. But organizations need not be on the defensive. Indeed, some savvy executives have already been turning this groundswell of customer power to their advantage. To investigate how, the authors interviewed managers and employees at more than 100 companies that were rolling out social applications. From this research, they developed a strategic framework that businesses can use to implement social applications in a number of departments, including research and development, marketing, sales, customer support and operations. The potential benefits are numerous: Social applications can generate research insights, extend the reach of marketing, energize sales efforts, cut support costs and stoke the innovation process. (And for companies that tap into employee groundswells, the result can be increased opportunities for collaboration across departments and geographical locations, as well as greater productivity and decreased inefficiencies.) But the greatest benefit might be cultural, because social applications help weave two-way customer communications into the fabric of an organization. But anything that changes culture tends to face resistance, and this is especially true of social applications, because they require managers to embrace an unknown communications channel, one that responds poorly to attempts to control it. Based on an analysis of companies that succeeded or failed in deploying social applications, the authors have derived a number of key managerial recommendations for any organization attempting to harness the power of the groundswell.
Laser lead extraction in octo‐ and nonagenarians. A subgroup analysis from the GALLERY registry

In an aging population with cardiac implantable electronic devices, an increasing number of octo‐ and even nonagenarians present for lead extraction procedures. Those patients are considered at increased risk for surgical procedures including lead extraction. Here, we investigated safety and efficacy of transvenous lead extraction in a large patient cohort of octo‐ and nonagenarians.
A fusion scheme for joint retrieval of urban height map and classification from high resolution interferometric SAR images Un schéma de fusion pour l'optimisation conjointe de la classe et de la hauteur en interférométrie radar haute résolution

A major issue for remote sensing is the retrieval 3D surface from Earth, which is already available for natural surfaces at medium resolution, thanks to missions such as SRTM or SPOT HRS. A new challenging issue is now the derivation of DSM (Digital Surface Model) over urban areas. Since the recent improvement of radar image resolution, SAR (Synthetic Aperture Radar) interferometry which has proved its efficiency for natural scenes at low resolution may provide an accurate tool for urban 3D monitoring. However, the complexity of urban areas and high resolution SAR images prevents from computing an accurate DSM straightforwardly. In this article, we propose an original high level processing chain to solve this problem and we present some results on real data. The processing chain includes three main steps: information extraction, fusion and correction. Our main contribution addresses the merging step, where we aim at retrieving both a classification and a DSM while imposing less constraints as possible on the building shapes. The joint derivation of height and class enables to introduce more contextual information and rules describing real scenes and, thus, to be more flexible towards scene geometry. First, the initial images (interferogram, amplitude and coherence images) are converted into higher level information mapping with different approaches (filtering, object recognition or global classification) to get a first understanding of the scene. Secondly, these new images are merged into a Markovian framework to retrieve jointly an improved classification and a height map. Thirdly, DSM and classification are improved by computing layovers and shadows from the estimated DSM. Comparison between shadows/layovers and classification allows some corrections. This paper mainly addresses on the second step; the two others are briefly explained and referred to already published articles. The results (obtained on real images) are compared to ground truth and indicate a very good accuracy in spite of limited image resolutions. The major limit of the DSM computation remains the adequacy of the initial spatial and altimetric resolutions.
Plant Analysis as an Aid in Fertilizing Small Grains

Production constraints on producers and public concern over the environmental impact of fertilizer use emphasize the need for efficient fertilization programs. Proper fertilizer application ensures efficient plant use and minimum movement into non-target areas. Time and method of fertilizer application can greatly influence plant utilization and fate of fertilizers in the environment. In current agricultural production systems, we must integrate the public concerns over the environment, as affected by agriculture, and the producer's concern for achieving optimum economic return for his fertilizer investment. Soil testing is one diagnostic tool that has been used successfully for many years to improve fertilizer efficiency and economic return in small grains. More recently, plant analysis has been used as another tool to complement soil testing in developing efficient small-grain fertilization programs. Its use, in conjunction with soil testing, can greatly improve fertilizer efficiency and minimize losses into the environment when tempered with observation and experience. Small-grain production and quality are greatly influenced by fertilization. Proper fertility favors high yields of quality grain. The objective of this chapter is to provide the scientific basis for smallgrain plant analysis and its use to assess the nutrient status and fertilizer requirements of these crops. The small grains discussed are wheat (Triticum aestivum L.), barley (Hordeum vulgare L.), oat (A vena sativa L.), and rice (Oryza sativa L.).
Overlapping Clustering Methods for Networks

Networks allow the representation of interactions between objects. Their structures are often complex to explore and need some algorithmic and statistical tools for summarizing. One possible way to go is to cluster their vertices into groups having similar connectivity patterns. This chapter aims at presenting an overview of clustering methods for network vertices. Common community structure searching algorithms are detailed. The well-known Stochastic Block Model (SBM) is then introduced and its generalization to overlapping mixed membership structure closes the chapter. Examples of application are also presented and the main hypothesis underlying the presented algorithms discussed.
West Nile fever--a reemerging mosquito-borne viral disease in Europe.

: West Nile virus causes sporadic cases and outbreaks of human and equine disease in Europe (western Mediterranean and southern Russia in 1962-64, Belarus and Ukraine in the 1970s and 1980s, Romania in 1996-97, Czechland in 1997, and Italy in 1998). Environmental factors, including human activities, that enhance population densities of vector mosquitoes (heavy rains followed by floods, irrigation, higher than usual temperature, or formation of ecologic niches that enable mass breeding of mosquitoes) could increase the incidence of West Nile fever.
Summarizing Provenance of Aggregate Query Results in Relational Databases

Data provenance is any information about the origin of a piece of data and the process that led to its creation. Most database provenance work has focused on creating models and semantics to query and generate this provenance information. While comprehensive, provenance information remains large and overwhelming, making it hard for data provenance systems to support data exploration. We present a new approach to provenance exploration that builds on data summarization techniques. We contribute novel summarization schemes for the provenance of aggregation queries and techniques for the fast generation of these summarization schemes. We introduce two types of summaries for aggregate queries. Impact summaries take into account the impact of specific groups of tuples in the provenance of the query on an aggregate result, and comparative summaries allow users to compare the provenance of two aggregate results. We also present algorithms for efficient computation of these summaries, implement optimizations using data sampling and feature selection, and conduct experiments and a user survey to show the feasibility and relevance of our approaches.
Metagenomic Analysis of a Continuous-Flow Aerobic Granulation System for Wastewater Treatment

Aerobic granulation is an emerging process in wastewater treatment that has the potential to accelerate sedimentation of the microbial biomass during secondary treatment. Aerobic granulation has been difficult to achieve in the continuous flow reactors (CFRs) used in modern wastewater treatment plants. Recent research has demonstrated that the alternation of nutrient-abundant (feast) and nutrient-limiting (famine) conditions is able to promote aerobic granulation in a CFR. In this study, we conducted a metagenomic analysis with the objective of characterizing the bacterial composition of the granular biomass developed in three simulated plug flow reactors (PFRs) with different feast-to-famine ratios. Phylogenetic analyses revealed a clear distinction between the bacterial composition of aerobic granules in the pilot simulated PFRs as compared with conventional activated sludge. Larger and denser granules, showing improved sedimentation properties, were observed in the PFR with the longest famine time and were characterized by a greater proportion of bacteria producing abundant extracellular polymeric substances (EPS). Functional metagenomic analysis based on KEGG pathways indicated that the large and dense aerobic granules in the PFR with the longest famine time showed increased functionalities related to secretion systems and quorum sensing, which are characteristics of bacteria in biofilms and aerobic granules. This study contributes to a further understanding of the relationship between aerobic granule morphology and the bacterial composition of the granular biomass.
Infecção hospitalar: critérios para instalação e atuação da comissão responsável, medidas profiláticas e emprego da antibioticoterapia*

* Trab. realiz. no Hosp. Universit. Clementino Fraga Filho, da Univ. Fed. do Rio de Janeiro. 1. Prof. Adjunto do Dep. de Ortop. e Traumatol. da Fac. de Med. da UFRJ; Chefe do Serv. de Traumato-Ortop. do HUCFF-UFRJ; Doutor em Medicina UFRJ. 2. Médica do Serv. de Doenças Infecciosas e Parasit. do HUCFF-UFRJ; Coord. da CCIH-HUCFF-UFRJ; Mestre em Medicina UFRJ. 3. Prof. Assist. e Chefe de Clínica do Serv. de Traumato-Ortop. do HUCFFUFRJ; Mestre em Medicina UFRJ. 4. Prof. Assist. e Coord. do Programa de Resid. Médica do Serv. de Traumato-Ortop. do HUCFF-UFRJ; Mestre em Medicina UFRJ. RESUMO
Helping university students to ‘read’ scholarly journal articles: the benefits of a structured and collaborative approach

Fujimoto, Yuka, Hagel, Pauline, Turner, Paul, Kattiyapornpong, Uraiporn and Zutshi, Ambika 2011, Helping university students to 'read' scholarly journal articles : the benefits of a structured and collaborative approach, Journal of university teaching and learning practice, vol. 8, no. 3, pp. 1-14. Available from Deakin Research Online: http://hdl.handle. net/10536/DRO/DU:30041783 Reproduced with the kind permission of the copyright owner.
Structural and torsional properties of the RAD51-dsDNA nucleoprotein filament

Human RAD51 is a key protein in the repair of DNA by homologous recombination. Its assembly onto DNA, which induces changes in DNA structure, results in the formation of a nucleoprotein filament that forms the basis of strand exchange. Here, we determine the structural and mechanical properties of RAD51-dsDNA filaments. Our measurements use two recently developed magnetic tweezers assays, freely orbiting magnetic tweezers and magnetic torque tweezers, designed to measure the twist and torque of individual molecules. By directly monitoring changes in DNA twist on RAD51 binding, we determine the unwinding angle per RAD51 monomer to be 45°, in quantitative agreement with that of its bacterial homolog, RecA. Measurements of the torque that is built up when RAD51-dsDNA filaments are twisted show that under conditions that suppress ATP hydrolysis the torsional persistence length of the RAD51-dsDNA filament exceeds that of its RecA counterpart by a factor of three. Examination of the filament’s torsional stiffness for different combinations of divalent ions and nucleotide cofactors reveals that the Ca2+ ion, apart from suppressing ATPase activity, plays a key role in increasing the torsional stiffness of the filament. These quantitative measurements of RAD51-imposed DNA distortions and accumulated mechanical stress suggest a finely tuned interplay between chemical and mechanical interactions within the RAD51 nucleoprotein filament.
Delft University of Technology Decision Tree Analysis for Estimating the Costs and Benefits of Disclosing Data

The public expects government institutions to open their data to enable society to reap the benefits of these data. However, governments are often reluctant to disclose their data due to possible disadvantages. These disadvantages, at the same time, can be circumstances by processing the data before disclosing. Investments are needed to be able to pre-process a dataset. Hence, a trade-off between the benefits and cost of opening data needs to be made. Decisions to disclose are often made based on binary options like "open" or "closed" the data, whereas also parts of a dataset can be opened or only pre-processed data. The objective of this study is to develop a decision tree analysis in open data (DTOD) to estimate the costs and benefits of disclosing data using a DTA approach. Experts’ judgment is used to quantify the pay-offs of possible consequences of the costs and benefits and to estimate the chance of occurrence. The result shows that for non-trivial decisions the DTOD helps, as it allows the creation of decision structures to show alternatives ways of opening data and the benefits and disadvantages of each alternative.
Remote sensing image registration based on local structural information and global constraint

Abstract. In the process of remote sensing image registration, a robust point-matching algorithm is very important to get better results. However, it may be difficult to find enough correct correspondences when remote sensing images exhibit various noises and local deformations. Although existing methods can remove the outliers, many inliers will be removed at the same time. We propose a point-matching method for remote sensing image registration based on phase congruency normalized cross-correlation and global constraint. First, the classical synthetic aperture radar scale-invariant feature transform algorithm is used to obtain the initial correspondences. Then, the feature distance and phase consistency normalized cross-correlation are combined to remove the outliers in the local neighborhood blocks of the initial correspondences. Finally, the proposed method focuses on increasing the number of inliers and raising the correct ratio by a global constraint. The experimental results compared with several state-of-the-art algorithms show that our method can get more correspondences with higher accuracy.
Frontiers of Biogeography The onset of grasses in the Amazon drainage basin, evidence from the fossil record

Poaceae (the grass family) originated in the Cretaceous, but first dominate the palynological records of the Amazon drainage basin (ADB) in the Neogene (23 to 2.5 million years ago (Ma)). However, the ecological role of grasses in the landscape during this time remains to be resolved. In this paper, we summarise the global significance of grasses and the relevance of the fossil record, and evaluate the history of the grasses in the ADB. We present a 3-stage model of the changing role of grasses, which we based on a revision of Neogene depositional environments, the palynological record, and modern grass distribution in the Neotropics. Our model comprises the following hypotheses: (H1) assumes that from c. 23 to 9 Ma western Amazonia was dominated by a megawetland (the ‘Pebas system’ ) that harboured large amounts of (aquatic? ) grasses. In (H2) we propose that from c. 9 Ma Andean uplift prompted megafans (extremely large alluvial fans) that extended from the Andes into the lowlands. Meanwhile, the ‘Pebas’ megawetland gradually transformed into a fluvial system. In this scenario, grasses would have had a competitive advantage and were able to colonise the newly formed megafan and fluvial landscapes. Finally, in (H3) we suggest that landscape dynamics and climatic change intensified from c. 3.5 Ma, allowing for a renewed expansion of the grasses. In addition, both the fossil and molecular records suggest that from c. 5 Ma grasses were firmly established in the tropical alpine vegetation (páramo), the tropical lowland floodplains (várzeas), and savannas (cerrado). Although further study will have to confirm the precise nature of the ADB grass history, we anticipate that abiotic processes during In the last 5 million years, open surfaces in the high Andes offered comprehensive habitats for grass colonisation.