Miracle-dz/UniFAR-FTUs huggingface dataset:
An Effective Content-Based Schema Matching Algorithm

Identifying database corresponding attributes in schema matching plays a key role in data integration in heterogeneous databases. Most of current approaches mainly use schema information of attribute. Little research has attempted to fully explore the use of data content. This paper introduces a novel schema matching algorithm based on data content, which has two-step process. First, through the analysis of the data pattern, we train a set of neural networks which used for calculating candidate matching pairs. Then we apply a rule-based algorithm to filter the candidate pairs and get correct matching result. The experiment result based on real data shows our proposed approach can improve the precision and recall of schema matching obviously. The approach can either be used independently or work together with other schema matching methods.
Efficacy of HA Block Kyphoplasty for Old Osteoporotic Spine Fractures

We have successfully treated osteoporotic spine fractures for about three years, by using transpedicular kyphoplasty with hydroxyapatite blocks (HA Block: PENTAX) (refer with: Fig. 1), The 13 patients, four men and nine women, ranged from 61 to 86 years in age (mean, 73 years). The mean Visual Analogue Scale (VAS) was 8.5 points before operation, improved to 2.7 points on the next day of operation, and improved significantly to 1.8 points at the final evaluation. The mean deformity rate (Anterior height / Posterior height x 100) was 66.3% before operation, but improved to 91.7% immediately after operation. At the time of follow-up, this rate was 78.6%, indicating that the correction loss was 13.1%. This procedure caused none of serious complications such as neurological disorder and pulmonary infarction. Kyphoplasty with HA blocks may be safe and effective in the treatment of chronic vertebral fractures.
Hoodsquare: Modeling and Recommending Neighborhoods in Location-Based Social Networks

Information garnered from activity on location-based social networks can be harnessed to characterize urban spaces and organize them into neighborhoods. We represent geographic points in the city using spatio-temporal information about Foursquare user check-ins and semantic information about places, with the goal of developing features to input into a novel neighborhood detection algorithm. The algorithm first employs a similarity metric that assesses the homogeneity of a geographic area, and then with a simple mechanism of geographic navigation, it detects the boundaries of a city's neighborhoods. The models and algorithms devised are subsequently integrated into a publicly available, map-based tool named Hood square that allows users to explore activities and neighborhoods in cities around the world. Finally, we evaluate Hood square in the context of are commendation application where user profiles are matched to urban neighborhoods. By comparing with a number of baselines, we demonstrate how Hood square can be used to accurately predict the home neighborhood of Twitter users. We also show that we are able to suggest neighborhoods geographically constrained in size, a desirable property in mobile recommendation scenarios for which geographical precision is key.
Dosimetric evaluation of radionuclides for VCAM-1-targeted radionuclide therapy of early brain metastases

Brain metastases develop frequently in patients with breast cancer, and present a pressing therapeutic challenge. Expression of vascular cell adhesion molecule 1 (VCAM-1) is upregulated on brain endothelial cells during the early stages of metastasis and provides a target for the detection and treatment of early brain metastases. The aim of this study was to use a model of early brain metastasis to evaluate the efficacy of α-emitting radionuclides, 149Tb, 211At, 212Pb, 213Bi and 225Ac; β-emitting radionuclides, 90Y, 161Tb and 177Lu; and Auger electron (AE)-emitters 67Ga, 89Zr, 111In and 124I, for targeted radionuclide therapy (TRT). METHODS: Histologic sections and two photon microscopy of mouse brain parenchyma were used to inform a cylindrical vessel geometry using the Geant4 general purpose Monte Carlo (MC) toolkit with the Geant4-DNA low energy physics models. Energy deposition was evaluated as a radial function and the resulting phase spaces were superimposed on a DNA model to estimate double-strand break (DSB) yields for representative β- and α-emitters, 177Lu and 212Pb. Relative biological effectiveness (RBE) values were determined by only evaluating DNA damage due to physical interactions. RESULTS: 177Lu produced 2.69 ± 0.08 DSB per GbpGy, without significant variation from the lumen of the vessel to a radius of 100 µm. The DSB yield of 212Pb included two local maxima produced by the 6.1 MeV and 8.8 MeV α-emissions from decay products, 212Bi and 212Po, with yields of 7.64 ± 0.12 and 9.15 ± 0.24 per GbpGy, respectively. Given its higher DSB yield 212Pb may be more effective for short range targeting of early micrometastatic lesions than 177Lu. CONCLUSION: MC simulation of a model of early brain metastases provides invaluable insight into the potential efficacy of α-, β- and AE-emitting radionuclides for TRT. 212Pb, which has the attributes of a theranostic radionuclide since it can be used for SPECT imaging, showed a favorable dose profile and RBE.
Detection of lesions in retina photographs based on the wavelet transform

In this article, we propose an automatic diabetic retinopathy screening method. In particular, we focus on detecting microaneurysms in retina photographs, as they are the most common and first appearing lesions in the disease development. This is done by matching a lesion template in the wavelet domain, using the sum of the squared errors as a criterion on some decomposition subbands. The method outperforms classification methods in the wavelet domain, which seem unfitted to describe small structures shapes. More, it could be generalized to other small lesions. Results are evaluated on a manually segmented retinal images database for different usual mother wavelets
Detection of magnetic nanomaterials in molecular imaging and diagnosis applications

Abstract Advances in bionanotechnology promise to allow medical diagnosis and therapy through the channel of molecular imaging. Combining biological science and modern detection techniques, molecular imaging has the ability to penetrate biomedical processes at the molecular and cellular level. Magnetic nanoparticles (MNP), broadly defined as particles of tens of nm to approximately 2 μm in diameter in this review, are playing an increasingly important role in molecular imaging. They act as contrast agents to remarkably enhance the signal. The precise determination of the position and quantity of MNP is critical for these applications. This review describes the advances in the development of detection techniques for magnetic particles used in molecular imaging and diagnosis. The techniques are categorized as high magnetic field techniques and low magnetic field techniques. The high-field studies focus on magnetic resonance imaging (MRI). The ultra-low-field (ULF) studies include several of the most recent techniques: giant magnetoresistance sensors, superconducting quantum interference devices, atomic magnetometers, and magnetic particle imaging. The advantages and disadvantages of each method are discussed.
In Vitro Motility Analysis of Smooth Muscle Caldesmon Control of Actin-Tropomyosin Filament Movement (*)

We have used the in vitro motility assay to investigate the effect of caldesmon on the movement of actin-tropomyosin filaments over thiophosphorylated smooth muscle myosin and skeletal muscle heavy meromyosin. Using either motor, incorporation of up to 8 nM caldesmon inhibited filament movement by decreasing the proportion of filaments motile from >85% to <30%. There was a minimal effect on filament attachment and a modest decrease in motile filament velocity in this concentration range. The reduction in the proportion of filaments motile could be completely reversed by incorporation of an excess of calmodulin at pCa 4.5. The expressed C-terminal fragment, 606C, which retains caldesmon's inhibitory capacity but does not bind to myosin, decreased the proportion of filaments motile but had no effect on velocity. We conclude that the velocity reduction by whole caldesmon is due to actin-myosin cross-linking. A significant decrease in filament attachment was observed when caldesmon was added to an excess over actin (>10 nM). In the absence of tropomyosin, addition of an excess of caldesmon caused a similar decrease in the filament density, but there was no effect on the proportion of filaments that were motile. Our results demonstrate that caldesmon can switch actin-tropomyosin from motile to non-motile states without controlling velocity of movement or weak binding affinity and show the inhibitory action of caldesmon in the motility assay to be functionally indistinguishable from that reported for troponin.
Velocity measurement by speckle modulating an Erbium-doped fiber ring laser

In this paper, Speckle modulating an erbium-doped fiber ring (EDFR) laser is used to detect the velocity of dynamic diffused object. All-fiber structure of the speckle measurement system is set up. The autocorrelation function of speckle signal related with the velocity variable of a moving object under test is theoretically derived. By experiments, the speckle signals are acquired by a photodiode, and using the autocorrelation function, we calculated the correlation coefficient of the speckle signals. When the coefficient is equal to 1/e, the velocity of the object is determined. In order to explore the influence that the signal length affects on measurement accuracy, a group of signals with different length of time is applied to calculate the velocity, and the result indicates that when signal length is greater than the correlation length, the measurement error is very small.
Quantitative EEG and Current Source Density Analysis of Combined Antiepileptic Drugs and Dopaminergic Agents in Genetic Epilepsy

Two adolescent females with absence epilepsy were classified, one as attention deficit and the other as bipolar disorder. Physical and cognitive exams identified hypotension, bradycardia, and cognitive dysfunction. Their initial electroencephalograms (EEGs) were considered slightly slow, but within normal limits. Quantitative EEG (QEEG) data included relative theta excess and low alpha mean frequencies. A combined treatment of antiepileptic drugs with a catecholamine agonist/reuptake inhibitor was sequentially used. Both patients’ physical and cognitive functions improved and they have remained seizure free. The clinical outcomes were correlated with statistically significant changes in QEEG measures toward normal Z-scores in both anterior and posterior regions. In addition, low resolution electromagnetic tomography (LORETA) Z-scored source correlation analyses of the initial and treated QEEG data showed normalized patterns, supporting a neuroanatomic resolution. This study presents preliminary evidence for a neurophysiologic approach to patients with absence epilepsy and comorbid disorders and may provide a method for further research.
Isolating side effects in sequential languages

It is well known that adding side effects to functional languages changes the operational equivalences of the language. We develop a new language construct, encap, that forces imperative pieces of code to behave purely functionally, i.e.,without any visible side effects. The coercion operator encap provides a means of extending the simple reasoning principles for equivalences of code in a functional language to a language with side effects. In earlier work, similar coercion operators were developed, but their correctness required the underlying functional language to include parallel operations. The coercion operators developed here are simpler and are proven correct for purely sequential languages. The sequential setting requires the construction of fully abstract models for sequential call-by-value languages and the formulation of a weak form of “monad” suitable for expressing the semantics of call-by-value languages with side effects.
Evaluating the Experience of Use of a Squeezable Interface

The paper presents the user experience evaluation of Squeeze Me, an interactive cover for tablet and smartphone that enables continuous and expressive interaction with electronic devices. The cover is made of a soft rubbery material that embeds pressure sensors and electronics. It can be squeezed with both hands. The intensity of the input is reflected in the output. So far, two applications of Squeeze Me have been implemented: an interface to control the movements of a domestic robot in a smart environment, and a mobile application that makes it possible to zoom in and out while taking a photograph, without removing the hands from the tablet. Both applications have been evaluated with users. This paper focuses on testing the zooming application. The test was conducted involving 67 people. Their experience of use was evaluated using AttrakDiff [1], a questionnaire that measures hedonic stimulation and identity, as well as pragmatic qualities of software products. Users were asked to try out three interaction modalities for comparison: squeeze to zoom, pinch to zoom and slide to zoom. Results reveal that Squeeze to zoom is significantly more appreciated for its hedonic qualities. The paper concludes with a reflection on the potential and possible applications of Squeeze Me technology.
Deployment of mobile routers ensuring coverage and connectivity

Maintaining connectivity among a group of autonomous agents exploring an area is very important, as it promotes cooperation between the agents and also helps message exchanges which are very critical for their mission. Creating an underlying Ad-hoc Mobile Router Network (AMRoNet) using simple robotic routers is an approach that facilitates communication between the agents without restricting their movements. We address the following question in our paper: How to create an AMRoNet with local information and with minimum number of routers? We propose two new localized and distributed algorithms 1) agent-assisted router deployment and 2) a self-spreading for creating AMRoNet. The algorithms use a greedy deployment strategy for deploying routers effectively into the area maximizing coverage and a triangular deployment strategy to connect different connected component of routers from different base stations. Empirical analysis shows that the proposed algorithms are the two best localized approaches to create AMRoNets.
Human CD141+ Dendritic Cell and CD1c+ Dendritic Cell Undergo Concordant Early Genetic Programming after Activation in Humanized Mice In Vivo

Human immune cell subsets develop in immunodeficient mice following reconstitution with human CD34+ hematopoietic stem cells. These “humanized” mice are useful models to study human immunology and human-tropic infections, autoimmunity, and cancer. However, some human immune cell subsets are unable to fully develop or acquire full functional capacity due to a lack of cross-reactivity of many growth factors and cytokines between species. Conventional dendritic cells (cDCs) in mice are categorized into cDC1, which mediate T helper (Th)1 and CD8+ T cell responses, and cDC2, which mediate Th2 and Th17 responses. The likely human equivalents are CD141+ DC and CD1c+ DC subsets for mouse cDC1 and cDC2, respectively, but the extent of any interspecies differences is poorly characterized. Here, we exploit the fact that human CD141+ DC and CD1c+ DC develop in humanized mice, to further explore their equivalency in vivo. Global transcriptome analysis of CD141+ DC and CD1c+ DC isolated from humanized mice demonstrated that they closely resemble those in human blood. Activation of DC subsets in vivo, with the TLR3 ligand poly I:C, and the TLR7/8 ligand R848 revealed that a core panel of genes consistent with DC maturation status were upregulated by both subsets. R848 specifically upregulated genes associated with Th17 responses by CD1c+ DC, while poly I:C upregulated IFN-λ genes specifically by CD141+ DC. MYCL expression, known to be essential for CD8+ T cell priming by mouse DC, was specifically induced in CD141+ DC after activation. Concomitantly, CD141+ DC were superior to CD1c+ DC in their ability to prime naïve antigen-specific CD8+ T cells. Thus, CD141+ DC and CD1c+ DC share a similar activation profiles in vivo but also have induce unique signatures that support specialized roles in CD8+ T cell priming and Th17 responses, respectively. In combination, these data demonstrate that humanized mice provide an attractive and tractable model to study human DC in vitro and in vivo.
Modern Vibrational Spectroscopy and Micro-Spectroscopy: Theory, Instrumentation and Biomedical Applications

Description: Modern Vibrational Spectroscopy and Micro–Spectroscopy: Theory, Instrumentation and Biomedical Applications unites the theory and background of conventional vibrational spectroscopy with the principles of microspectroscopy. It starts with basic theory as it applies to small molecules and then expands it to include the large biomolecules, which are the main topic of the book with an emphasis on practical experiments, results analysis, and medical and diagnostic applications. This book is unique in that it addresses both the parent spectroscopy and the microspectroscopic aspects in one volume.
Growth Conditions of a Thermophilic Geobacillus sp. as an Enhanced Oil Recovery Material

The growth conditions of a Geobacillus sp. were investigated by single-factor experiments. The strain was strictly aerobic bacterium, and could grow on hydrocarbons as the sole carbon source. The optimum carbon and nitrogen sources were 3.0% sucrose and 0.20% KNO3, respectively. The range of temperature, salinity and pH for the bacterial growth was 35-70 °C, 0-10% NaCl and 5.5-9.5, and good growth was obtained at 35-65 °C, 0.5-8% NaCl and 6.0-9.0, respectively. Particularly, the optimum temperature for the bacterial growth was between 50 °C and 60 °C. The strain had wide adaptability to the extreme conditions, and may be potentially applied to microbial enhanced oil recovery and oil-waste bioremediation technology.
Pushouts in software architecture design

A classical approach to program derivation is to progressively extend a simple specification and then incrementally refine it to an implementation. We claim this approach is hard or impractical when reverse engineering legacy software architectures. We present a case study that shows optimizations and pushouts---in addition to refinements and extensions---are essential for practical stepwise development of complex software architectures.
Implementation techniques and an object group service for CORBA-based applications in the field of parallel processing

We examine the suitability of CORBA based solutions for meeting application requirements in the field of distributed parallel programming. We outline concepts defined within CORBA which are helpful for the development of parallel applications, and we describe which programming techniques are at hand for this purpose. Subsequently, we present an object group service which facilitates the development of CORBA based distributed and parallel software applications. Moreover, we introduce some basic ideas of how the Unified Modeling Language (UML) can be used for modeling parallel applications.
Identification of genes periodically expressed in the human cell cycle and their expression in tumors.

The genome-wide program of gene expression during the cell division cycle in a human cancer cell line (HeLa) was characterized using cDNA microarrays. Transcripts of >850 genes showed periodic variation during the cell cycle. Hierarchical clustering of the expression patterns revealed coexpressed groups of previously well-characterized genes involved in essential cell cycle processes such as DNA replication, chromosome segregation, and cell adhesion along with genes of uncharacterized function. Most of the genes whose expression had previously been reported to correlate with the proliferative state of tumors were found herein also to be periodically expressed during the HeLa cell cycle. However, some of the genes periodically expressed in the HeLa cell cycle do not have a consistent correlation with tumor proliferation. Cell cycle-regulated transcripts of genes involved in fundamental processes such as DNA replication and chromosome segregation seem to be more highly expressed in proliferative tumors simply because they contain more cycling cells. The data in this report provide a comprehensive catalog of cell cycle regulated genes that can serve as a starting point for functional discovery. The full dataset is available at http://genome-www.stanford. edu/Human-CellCycle/HeLa/.
Imprecise Answers in Distributed Environments: Estimation of Information Loss for Multi-Ontology Based Query Processing

The World Wide Web is fast becoming a ubiquitous computing environment. Prevalent keyword-based search techniques are scalable, but are incapable of accessing information based on concepts. We investigate the use of concepts from multiple, real-world pre-existing, domain ontologies to describe the underlying data content and support information access at a higher level of abstraction. It is not practical to have a single domain ontology to describe the vast amounts of data on the Web. In fact, we expect multiple ontologies to be used as different world views and present an approach to "browse" ontologies as a paradigm for information access. A critical challenge in this approach is the vocabulary heterogeneity problem. Queries are rewritten using interontology relationships to obtain translations across ontologies. However, some translations may not be semantics preserving, leading to uncertainty or loss in the information retrieved. We present a novel approach for estimating loss of information based on the navigation of ontological terms. We define measures for loss of information based on intensional information as well as on well established metrics like precision and recall based on extensional information. These measures are used to select results having the desired quality of information.
Combinatorial Gene Overexpression and Recessive Mutant Gene Introduction in Sake Yeast

Industrial yeast strains are generally diploid and are often defective in sporulation. Such strains are hence thought to be less tractable for manipulation by genetic engineering. To facilitate more reliable genetic manipulation of the diploid yeast Japanese sake, we constructed variants of this strain that were homozygous for a URA3 deletion, homozygous for either MAT a or MATα, and homozygous for either the his3 or the lys4 mutation. A ura3-null genotype enabled gene targeting to be undertaken more easily. The TDH3 promoter was inserted upstream of six yeast genes that have been implicated in flavor control to drive their constitutive overexpression. The homozygous MAT alleles, combined with the non-complementary auxotrophic mutations in the targeted transformants, allowed for tetraploid selection through mating. This resulted in the combinatorial construction of tetraploid strains that overexpress two different genes simultaneously. In addition, a recessive mutant gene, sah1-1, that is known to overproduce S-adenosylmethionine, was introduced into the diploid sake strain by the replacement of one wild-type allele and subsequent disruption of the other. The resulting sah1-1/sah1Δ::URA3 strain produced higher amounts of S-adenosylmethionine than the wild type. The novel sake yeast diploid strains we generated in this study can thus undergo simple PCR-mediated gene manipulation and mating in a manner analogous to established laboratory strains. Moreover, none of these sake strains had extraneous sequences, and they are thus suitable for use in commercial applications.