Miracle-dz/UniFAR-FTUs huggingface dataset:
Surface fluid registration and multivariate tensor-based morphometry in newborns - the effects of prematurity on the putamen

Many disorders that affect the brain can cause shape changes in subcortical structures, and these may provide biomarkers for disease detection and progression. Automatic tools are needed to accurately identify and characterize these alterations. In recent work, we developed a surface multivariate tensor-based morphometry analysis (mTBM) to detect morphological group differences in subcortical structures, and we applied this method to study HIV/AIDS, William's syndrome, Alzheimer's disease and prematurity. Here we will focus more specifically on mTBM in neonates, which, in its current form, starts with manually segmented subcortical structures from MRI images of a two subject groups, places a conformal grid on each of their surfaces, registers them to a template through a constrained harmonic map and provides statistical comparisons between the two groups, at each vertex of the template grid. We improve this pipeline in two ways: first by replacing the constrained harmonic map with a new fluid registration algorithm that we recently developed. Secondly, by optimizing the pipeline to study the putamen in newborns. Our analysis is applied to the comparison of the putamen in premature and term born neonates. Recent whole-brain volumetric studies have detected differences in this structure in babies born preterm. Here we add to the literature on this topic by zooming in on this structure, and by generating the first surface-based maps of these changes. To do so, we use a dataset of manually segmented putamens from T1-weighted brain MR images from 17 preterm and 18 term-born neonates. Statistical comparisons between the two groups are performed via four methods: univariate and multivariate tensor-based morphometry, the commonly used medial axis distance, and a combination of the last two statistics. We detect widespread statistically significant differences in morphology between the two groups that are consistent across statistics, but more extensive for multivariate measures.
Mixed polyols synthesis of high aspect ratio silver nanowires for transparent conductive films

Silver nanowires (AgNWs) with high aspect ratio were rapidly synthesized by a mixed polyols process by adding diethylene glycol, triethylene glycol and glycerol into the ethylene glycol to construct the mixed polyols respectively, and the effects of type and volume fraction of mixed polyols on the morphology and aspect ratio of AgNWs were investigated in detail, and the optoelectrical properties of the corresponding transparent conductive electrodes were briefly introduced. The presence of mixed polyols can increase the viscosity of the solution, reduce the migration rate of Ag+ and nuclear in the solution, decrease the diameter of silver nanowires and heighten the length and aspect ratio. Appropriate mixed polyols (triethylene glycol) with the volume fraction of 30% allows the rapid synthesis of AgNWs with the diameter of about 64.2 nm, the length of 66.0 μm and the aspect ratio as high as 1029. The as-prepared AgNWs films possess a transmittance of 89.8% and a sheet resistance of 4.56 Ω/sq. The resultant AgNWs with high aspect ratio can be applied to prepare transparent conductive films.
LDOA results for OAEI 2011

This paper presents and discusses the results produced by the Ldoa system for the 2011 Ontology Alignment Evaluation Initiative (OAEI). This method is based on the exploitation of an external resource through Linked Data. These data represent a wealth at the level of the Web. Indeed, it brings more semantics through relations that they maintain. The proposed alignment method Ldoa exploits terminological measures for concepts matching, topological measure for the exploration of structures as well as a semantic approach based on Linked Data.
Charged Aerosol Generation via Spark Discharge and Its Applications

Nanoparticles have been widely studied in nanotechnology due to their unique characteristics. Establishment of reliable and robust nanoparticle patterning methodology is a prerequisite for practical use of the nanoparticles, which could be a promising alternative to conventional photolithography. High resolution and parallel patterning of charged aerosols via Ion-Assisted Aerosol Lithography (IAAL) was previously reported and has been utilized for unique three-dimensional patterning of nanoparticles as well as conventional two-dimensional patterning on conducting substrates. Stable preparation of charged aerosols and their patterning regardless of the kind of substrates could expand the application of the IAAL in nanotechnology. This study is aimed to develop an unconventional type spark discharge generator as a facile charged aerosol provider for the IAAL and extend the limitation of the IAAL for charged particle patterning even on a non-conducting substrate. The new type spark discharge generator was applied to fabricate nanoparticle
RealText-lex: A Lexicalization Framework for RDF Triples

Abstract The online era has made available almost cosmic amounts of information in the public and semi-restricted domains, prompting development of corresponding host of technologies to organize and navigate this information. One of these developing technologies deals with encoding information from free form natural language into a structured form as RDF triples. This representation enables machine processing of the data, however the processed information can not be directly converted back to human language. This has created a need to be able to lexicalize machine processed data existing as triples into a natural language, so that there is seamless transition between machine representation of information and information meant for human consumption. This paper presents a framework to lexicalize RDF triples extracted from DBpedia, a central interlinking hub for the emerging Web of Data. The framework comprises of four pattern mining modules which generate lexicalization patterns to transform triples to natural language sentences. Among these modules, three are based on lexicons and the other works on extracting relations by exploiting unstructured text to generate lexicalization patterns. A linguistic accuracy evaluation and a human evaluation on a sub-sample showed that the framework can produce patterns which are accurate and emanate human generated qualities.
Right or Seemly ? l

This paper suggests that rights are best seen as being part of the description of a social state rather than as constituents of the mechanism by means of which society selects a social state. A theory of this kind is outlined in which a social state is modeled as an equilibrium in the game of life played by the citizens of a society.
Project Management Simulation-Based Learning For Systems Engineering Students

Traditional training based on static models and case studies is the backbone of most teaching and training programs in the area of systems engineering. However, in order to teach and learn project management for systems engineering students, a new methodology based on dynamic models and real-time simulation is introduced. A project management course for students in systems engineering included learning how to use the Project Management Trainer (PMT) that simulates a dynamic, stochastic project management environment. The students used the simulator both in single-user mode (simple project management) and in multi-user multi-project mode. A class of 66 students performed repetitive simulation-runs (in single-user mode) with a break period of several weeks between the runs and repetitive simulation-runs in multi-user mode. The students used different history recording mechanisms. For the single-user mode, manual or automatic history recording mechanisms were used by the experimental group, while the control group did not use any history recording mechanism. The findings indicate that for the initial learning phase, the manual mechanism is better than the automatic mechanism. However, for the relearning phase, the break period length influenced the performance after the break. A comparison between the experimental group and the control group for both single-user mode and multi-user mode revealed that using any history recording mechanism reduced forgetting. Based on the findings, some practical implications of using simulators to improve the learning-forgetting process are discussed.
Vector plots for irregular grids

A standard method for visualizing vector fields consists of drawing many small "glyphs" to represent the field. This paper extends the technique from regular to curvilinear and unstructured grids. In order to achieve a uniform density of vector glyphs on nonuniformly spaced grids, the paper describes two approaches to resampling the grid data. One of the methods, an element-based resampling, can be used to visualize vector fields at arbitrary surfaces within three-dimensional grids.
3D Road Scene Monitoring Based on Real-Time Panorama

Road monitoring helps to control the regional traffic situation so as to adjust the traffic flow. Real-time panorama is conducive to timely treat traffic accidents and to greatly improve traffic capacity. This paper designs a 3D road scene monitoring framework based on real-time panorama. The system is the combination of large scale panorama, satellite map textures, and 3D scene model, in which users can ramble freely. This paper has the following contributions. Firstly, land-points were extracted followed by motion detection, then comotion algorithm was applied to land-points from adjacent cameras, and homography matrix was constructed. Secondly, reference camera was chosen and transformed to overhead viewpoint; subsequently multiviews were morphed to the same viewpoint and stitched to panorama. Finally, the registration based on high-precision GPS information between 2D road panorama and 3D scene model was also proposed. The proposed framework has been successfully applied to a large road intersection monitoring. Experimental results are furnished at the end of the paper.
Orbital Floor Reconstruction with Free Flaps after Maxillectomy

Background The purpose of this study is to evaluate the outcome of orbital floor reconstruction with free flaps after maxillectomy. Methods This was a retrospective analysis of 34 consecutive patients who underwent maxillectomy with orbital floor removal for malignancies, reconstructed with free flaps. A cross-sectional survey to assess the functional and esthetic outcome was done in 28 patients who were alive and disease-free, with a minimum of 6 months of follow-up. Results Twenty-six patients had bony reconstruction, and eight had soft tissue reconstruction. Free fibula flap was the commonest flap used (n = 14). Visual acuity was normal in 86%. Eye movements were normal in 92%. Abnormal globe position resulted in nine patients. Esthetic satisfaction was good in 19 patients (68%). Though there was no statistically significant difference in outcome of visual acuity, eye movement, and patient esthetic satisfaction between patients with bony and soft tissue reconstruction, more patients without bony reconstruction had abnormal globe position (p = 0.040). Conclusion Free tissue transfer has improved the results of orbital floor reconstruction after total maxillectomy, preserving the eye. Good functional and esthetic outcome was achieved. Though our study favors a bony orbital reconstruction, a larger study with adequate power and equal distribution of patients among the groups would be needed to determine this. Free fibula flap remains the commonest choice when a bony reconstruction is contemplated.
Enhanced Cost231 W.I. Propagation Model in Wireless Network

Implementations of wireless network wave propagation models are necessary to determine propagation characteristic through a medium. Propagation study provides an estimation of signal characteristics. This paper evaluates about propagation models, their path loss behavior, propagation mechanisms, and propagation prediction techniques. A propagation model is a set of mathematical expressions, diagrams, and algorithms used to represent the radio characteristics of a given environment. The accuracy of any particular propagation model in any given condition will depend on the suitability among the constraints required by the model and depend on terrain. This paper proposes new semi deterministic model derived by walficsh and Ikagami, this model simulation results represents the accuracy in terms of through put, end to end delay, average jitter and total packet received with respect to cost 231 Hata model and cost 231 (W.I) models and also shows some limitations, proposed model is unable to calculate multiple reflection loss caused by multi screen.
Early T‐cell activation biophysics

The T‐cell is one of the main players in the mammalian immune response. It ensures antigen recognition at the surface of antigen‐presenting cells in a complex and highly sensitive and specific process, in which the encounter of the T‐cell receptor with the agonist peptide associated with the major histocompatibility complex triggers T‐cell activation. While signaling pathways have been elucidated in increasing detail, the mechanism of TCR triggering remains highly controversial despite active research published in the past 10 years. In this paper, we present a short overview of pending questions on critical initial events associated with T‐cell triggering. In particular, we examine biophysical approaches already in use, as well as future directions. We suggest that the most recent advances in fluorescence super‐resolution imaging, coupled with the new classes of genetic fluorescent probes, will play an important role in elucidation of the T‐cell triggering mechanism. Beyond this aspect, we predict that exploration of mechanical cues in the triggering process will provide new clues leading to clarification of the entire mechanism.
An Automated System for Conversion of Clinical Notes into SNOMED Clinical Terminology

The automatic conversion of free text into a medical ontology can allow computational access to important information currently locked within clinical notes and patient reports. This system introduces a new method for automatically identifying medical concepts from the SNOMED Clinical Terminology in free text in near real time. The system presented consists of 3 modules; an Augmented Lexicon, term compositor and negation detector. The Augmented Lexicon indexes the SNOMED-CT terms, the term compositor finds qualification relationships between concepts and the negation detector identifies negative concepts. The system delivers the services through a variety of interfaces including direct programming access and web-based access. It is currently in use in a hospital environment to capture patient data response with SNOMED-CT codes in real time at the point of care. No strict evaluation has been done on the system to date, however preliminary results indicate performance within acceptable time and accuracy limits.
Microstructure control in functionally graded Al-Si castings

ABSTRACT Al-Si functionally graded castings (FGCs) were prepared under centrifugal force. Three compositions were selected; 356, 413 and 390 representing hypoeutectic, eutectic and hypereutectic alloys, respectively. The microstructure and the mechanical properties of the FGCs at different positions were dependent on the centrifugal force. This was more pronounced in 390 FGCs, where the hardness and wear resistance increased towards the inner surface containing the highest volume fraction of primary Si. Grain refining of α-Al was observed in the inner section of 356-FGCs. In 413FGCs, Fe-intermetallics were refined gradually towards the outer surface. Heat treatment spherodized the eutectic Si in case of 356FGCs and increased the hardness from ~60 to 83 (HV). In 390FGCs, precipitation hardening raised the hardness by 20 % while no improvement was observed in 413FGCs. These results emphasize the role of centrifugal force and heat treatment in controlling the microstructure and the mechanical properties of Al-Si FGCs.
Perspectives in Multiphasic Osteochondral Tissue Engineering

Critical‐sized osteochondral defects are clinically challenging, with limited treatment options available. By engineering osteochondral grafts using a patient's own cells and osteochondral scaffolds designed to facilitate cartilage and bone regeneration, osteochondral defects may be treated with less complications and better long‐term clinical outcomes. Scaffolds can influence the development and structure of the engineered tissue, and there is an increased awareness that osteochondral tissue engineering concepts need to take the in vivo complexities into account in order to increase the likelihood of successful osteochondral tissue repair. The developing trend in osteochondral tissue engineering is the utilization of multiphasic scaffolds to recapitulate the multiphasic nature of the native tissue. Cartilage and bone have different structural, mechanical, and biochemical microenvironments. By designing osteochondral scaffolds with tissue‐specific architecture, it may be possible to enhance osteochondral repair within shorter timeframe. While there are promising in vivo outcomes using multiphasic approaches, functional regeneration of osteochondral constructs still remains a challenge. In this review, we provide an overview of in vivo osteochondral repair studies that have taken place in the past three years, and define areas which needs improvement in future studies. Anat Rec, 297:26–35, 2014. © 2013 Wiley Periodicals, Inc.
Two Dimensional Computer Simulation of Plasma Immersion Ion Implantation

Department of Physics and Chemistry, Engineering Faculty of Guaratinguet´a FEG, UNESPAv. Ariberto Perreira da Cunha 333, Guaratinguet´a, SP, BrasilReceived on 30 January, 2004; revised version received on 6 May, 2004The biggest advantage of plasma immersion ion implantation (PIII) is the capability of treating objects withirregular geometry without complex manipulation of the target holder. The effectiveness of this approach relieson the uniformity of the incident ion dose. Unfortunately, perfect dose uniformity is usually difﬁcult to achievewhen treating samples of complex shape. The problems arise from the non-uniform plasma density and ex-pansion of plasma sheath. A particle-in-cell computer simulation is used to study the time-dependent evolutionof the plasma sheath surrounding two-dimensional objects during process of plasma immersion ion implanta-tion. Before starting the implantation phase, steady-state nitrogen plasma is established inside the simulationvolume by using ionization of gas precursor with primary electrons. The plasma self-consistently evolves toa non-uniform density distribution, which is used as initial density distribution for the implantation phase. Asa result, we can obtain a more realistic description of the plasma sheath expansion and dynamics. Ion currentdensity on the target, average impact energy, and trajectories of the implanted ions were calculated for threegeometrical shapes. Large deviations from the uniform dose distribution have been observed for targets withirregular shapes. In addition, effect of secondary electron emission has been included in our simulation and noqualitative modiﬁcations to the sheath dynamics have been noticed. However, the energetic secondary electronschange drastically the plasma net balance and also pose signiﬁcant X-ray hazard. Finally, an axial magneticﬁeld has been added to the calculations and the possibility for magnetic insulation of secondary electrons hasbeen proven.
Mesh partitioning for parallel computational fluid dynamics applications on a grid

ABSTRACT. The problem of partitioning unstructured meshes on a homogeneous architecture is largely studied. However, existing partitioning schemes fail when the target architecture introduces heterogeneity in resource characteristics. With the advent of heterogeneous architecture as the Grid, it becomes imperative to study the partitioning problem taking into account the heterogeneous platforms. In this work, we present a new mesh partitioning scheme, that takes into account the heterogeneity of CPU and networks. Our load balancing mesh partition strategy improves the performance of parallel applications running in a heterogeneous environment. The use of these techniques are applied to some model problems in CFD. Experimental results confirm that these techniques can improve the performance of applications on a computational Grid.
Genome‐Wide Investigation of Regional Blood‐Based DNA Methylation Adjusted for Complete Blood Counts Implicates BNC2 in Ovarian Cancer

Due to its potential as a biomarker for early cancer detection, blood‐based DNA methylation (DNAm) is of interest in cancer research. Specifically, highly predictive mechanisms for early detection of epithelial ovarian cancer (EOC) are desired, so previous studies have compared DNAm between EOC cases and controls. However, case‐control studies are confounded by the distribution of white blood cell types through an immune response induced by the cancer. Rather than determining the distribution of the cell types manually or investigating isolated cell types, an alternative approach involves the use of complete blood count (CBC), which is routinely collected. In the analysis of an EOC case‐control study of DNAm, we incorporate CBC measures to adjust for this confounding and compare DNAm between 242 EOC cases and 181 age‐matched controls (assayed on the Illumina Infinium HumanMethylation27 or HumanMethylation450 Beadchips), at both the individual CpG and CpG island levels. We found that adjustment for leukocyte distribution using CBC measurements dramatically reduced confounding, with 62 single CpG sites found to be associated with EOC status after adjustment (P < 5E‐8). Additionally, regional DNAm was assessed by applying principal components analysis to CpG islands. The top associated CpG island (P = 7E‐6) was located in the promoter/transcription start site of the human basonuclin 2 gene (BNC2), a known susceptibility gene for EOC risk identified through GWAS. Follow‐up studies are necessary to establish the role of BNC2 in blood‐based DNA and EOC, including prospective studies to validate this region as a potential biomarker and predictor of EOC susceptibility.
Insulin-like growth factor binding protein 2 expression and prognosis of glioma patients : a systematic review and meta-analysis

Many studies have focused on the prognosis role of insulin-like growth factor binding protein 2 (IGFBP2) in glioma patients, but the results remain inconsistent. Thus, a meta-analysis was carried out to explore the relationship between IGFBP2 and glioma prognosis. Relevant publications were searched in several widely used databases and six articles (seven studies, 766 patients in all) were included in the meta-analysis. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated to evaluate the strength of the association between IGFBP2 and glioma prognosis. Significant relationship between IGFBP2 expression and glioma prognosis was not observed in overall meta-analysis for overall survival (HR = 1.044, 95% CI = 0.998-1.093). However, increased IGFBP2 expression is significantly associated with poor overall survival in the multivariate analysis subgroup (HR = 1.036, 95% CI = 1.024-1.047) and glioblastoma multiform subgroup (HR = 1.028, 95% CI = 1.003-1.054). According to the results of our meta-analysis, higher IGFBP2 expression in glioma patients is associated with unfavorable prognosis and has predictive effect on overall survival for glioma patients, especially glioblastoma multiform patients.