Miracle-dz/UniFAR-FTUs huggingface dataset:
A New Similarity Measure for Instance Data Matching

Instance based ontology matching is a new approach which uses the extensions of concepts to solve matching problems. Instance matching is the task of recognizing similarity between instances with different ontology descriptions for the same real world objects. It is crucial in this ontology matching area like other data integration issues, and the quality of its algorithm can extremely affect the performance of this way of matching because it can change the overlap of extensional information; that is, common instances of concepts among different ontologies. In this paper, we propose a distributional instance similarity measure and study how the choice of this measure improves the quality of instance mapping in ontology matching scenario.
A MODEL FOR STRAIN-TEMPERATURE LOOPS IN SHAPE MEMORY ALLOY ACTUATORS

In this paper, a hysteresis model, originally developed for magnetic hysteresis and adapted to thermal hysteresis in vanadium dioxide (VO2) thin films, is proposed to describe the hysteresis in the ε-T characteristics of a SMA actuator. In order to determine the strain (ε) Temperature (T) behavior of a Ti-Ni SMA wire actuator (78mm in length and 150μm in diameter) an experimental set-up was implemented. The SMA wire is loaded with a weight providing a constant uniaxial tensile stress and is heated electrically. In the absence of an accurated and reliable technique for measurement of the SMA wire temperature, such temperature is estimated from the electrical current using the static thermal equilibrium equation for the steady-state. External room temperature disturbances are greatly reduced by embedding the wire in a heat-insulating medium. The control of the heating electrical current through the wire and measurement of the steady-state wire deformation with an LVDT displacement sensor having a resolution of 5μm, was done using GPIB compatible instruments. The results of these measurements, for ε-T major loops and first order descending curves, are presented together with the data calculated with the proposed model. Model simulations have shown good agreement with the experimental data.
Focused Ultrasound Effects on Osteosarcoma Cell Lines

MRI guided Focused Ultrasound (MRgFUS) has shown to be effective therapeutic modality for non-invasive clinical interventions in ablating of uterine fibroids, in bone metastasis palliative treatments, and in breast, liver, and prostate cancer ablation. MRgFUS combines high intensity focused ultrasound (HIFU) with MRI images for treatment planning and real time thermometry monitoring, thus enabling non-invasive ablation of tumor tissue. Although in the literature there are several studies on the Ultrasound (US) effects on cell in culture, there is no systematic evidence of the biological effect of Magnetic Resonance guided Focused Ultrasound Surgery (MRgFUS) treatment on osteosarcoma cells, especially in lower dose regions, where tissues receive sub-lethal acoustic power. The effect of MRgFUS treatment at different levels of acoustic intensity (15.5-49 W/cm2) was investigated on Mg-63 and Saos-2 cell lines to evaluate the impact of the dissipation of acoustic energy delivered outside the focal area, in terms of cell viability and osteogenic differentiation at 24 h, 7 days, and 14 days after treatment. Results suggested that the attenuation of FUS acoustic intensities from the focal area (higher intensities) to the “far field” (lower intensities) zones might determine different osteosarcoma cell responses, which range from decrease of cell proliferation rates (from 49 W/cm2 to 38.9 W/cm2) to the selection of a subpopulation of heterogeneous and immature living cells (from 31.1 W/cm2 to 15.5 W/cm2), which can clearly preserve bone tumor cells.
Using "Learning Video Portfolio" to Enhance Students' Metacognition in Authentic Learning

This study used learning video portfolio to improve student's metacognition through actual learning. LVP lets students have the opportunity to review and self-assess: learning through imitation, self-monitoring, teacher assessment, expert reference system, and the whole concept allowing students to upgrade and enhance metacognition. We held an experiment to verify the effectiveness of this system and the results show that LVP can effectively enhance the Comprehension monitor and Evaluation.
DEVELOPMENT OF REFLECTOMETRIC INTERFERENCE SPECTROSCOPY BASED SENSOR FOR PARAOKSON DETERMINATION ABSTRACT

In this study, reflectometric interference spectroscopy (RIfS) based sensor systems, which have particular recognition site toward to paraoxon molecule was developed. For this purpose, first, the activation of the Carboxymethyldextran (CMD) chip, which compatible with the RIfS, has been completed. 3-Dimethylaminopropyl-N'-ethylcarbodiimide (EDC) and Nhydroxysuccinimide (NHS) solutions were used in the activation process. After activating the biochip surface, the Acetylcholinesterase (AChE) enzyme was transferred to the immobilization step. Afterward, the AChE enzyme immobilization was accomplished on the biochip surface, and analysis of paraoxon solutions in different concentrations was performed. According to the obtained results, the working range of the paraoxon molecule based on RIfS spectroscopy had been calculated as 1.97×10 to 5.4×10 M, the LOD value as 9.9×10 M and the LOQ as 1.97×10 M.
Gauss Modes in Cylindrical Cavities

Gauss Modes are of particularly high interest as field solutions in cylindrical cavities, when engineering resonators, suitable for laser applications. Therefore, an analytical study and comprehensive numerical calculations are provided to obtain accurate field solutions. Numeric calculations, using the FiniteIntegration-Technique, give solutions for eigenmodes and transient fields. Formulas to calculate field solutions analytically and numerically are provided in this paper. Furthermore, different numeric implementations are compared and evaluated.
USING HIGH RESOLUTION SATELLITE IMAGERY TO DETECT DAMAGE FROM THE 2003 NORTHERN ALGERIA EARTHQUAKE

The Northern Algeria (Mw = 6.8) earthquake occurred on 21 May 2003 and affected a large coastal region in Algeria. This event is one of the first large earthquakes to be imaged immediately thereafter by a highresolution commercial satellite, and therefore, represents a unique opportunity to evaluate whether detailed earthquake damage can be accurately identified from high-resolution satellite images. Highresolution (0.6 m), preand post-earthquake images of the severely damaged Algerian city of Boumerdes were acquired by the Quickbird satellite and used for this study. Semi-automated, thematic classification algorithms were investigated as methods to identify specific collapsed and pancaked buildings using only a post-earthquake, pan-sharpened image. Classifications were performed first using only spectral (color) information, but were then extended to include both spectral and textural information. Supervised classification using spectral and textural signatures provided the most accurate identification of heavily damaged areas in the image. Additionally, change detection algorithms, which compare preand postearthquake images, were investigated. Change detection allowed for a more complete documentation of damage across parts of the city, but also suffered from limitations related to image changes that were not related to the earthquake. A damage map of Boumerdes developed from the satellite images revealed that the heaviest damage was concentrated in the southwestern part of the city. The results of this study indicate that high-resolution satellite images analyzed using semi-automated classification algorithms, or simple visual classification, are potentially useful for identifying areas exhibiting severe earthquake damage.
Effects of Intracoronary Bay k 8644, a Calcium Channel Agonist, in Anesthetized Dogs

Bay k 8644, a new dihydropyridine calcium channel activator has been shown to have positive inotropic and vasoconstrictor properties following intravenous (i.v.) administration. In the present study, intracoronary administration of Bay k 8644 was used to isolate drug effects on regional myocardial blood flow and contractility independent of systemic hemodynamic actions in β-adrenoceptor-blocked anesthetized dogs. Intracoronary infusion of Bay k 8644 (1.5, 3.7, 7.4, 14.8 μ/min) produced significant increases in contractility (percentage of segment shortening) in the drug-perfused region. Peak positive dP/dt, an index of global contractility, was increased in parallel with increases of regional contractility. No other changes in systemic hemodynamics occurred. Transmural tissue blood flow distribution as measured by radioactive microspheres was also unchanged by Bay k 8644. Intracoronary infusion of KB-944, a nondihydropyridine calcium channel blocking agent, increased coronary blood flow and decreased regional segment shortening and peak positive dP/dt. KB-944 inhibited increases in contractility produced by Bay k 8644. Thus, Bay k 8644 was shown to have a direct positive inotropic effect in vivo which was inhibited by calcium channel blockade.
Discontinuous Galerkin Time-Domain Methods for Multiscale Electromagnetic Simulations: A Review

Efficient multiscale electromagnetic simulations require several major challenges that need to be addressed, such as flexible and robust geometric modeling schemes, efficient and stable time-stepping methods, etc. Due to the versatile choices of spatial discretization and temporal integration, discontinuous Galerkin time-domain (DGTD) methods can be very promising in simulating transient multiscale problems. This paper provides a comprehensive review of different DGTD schemes, highlighting the fundamental issues arising in each step of constructing a DGTD system. The issues discussed include the selection of governing equations for transient electromagnetic analysis, different basis functions for spatial discretization, as well as the implementation of different time-stepping schemes. Numerical examples demonstrate the advantages of DGTD for multiscale electromagnetic simulations.
Aberrant overexpression of CD 14 on granulocytes sensitizes the innate immune response in mDia 1 heterozygous del ( 5 q ) MDS

Department of Pathology, Feinberg School of Medicine, Northwestern University, Chicago, IL; Department of Hematopathology and Laboratory Medicine and Department of Malignant Hematology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL; Boston Children’s Hospital and Dana-Farber Cancer Institute, Harvard Medical School, Harvard Stem Cell Institute, Boston, MA; Center for Genetic Medicine, Northwestern University, Chicago, IL; Department of Developmental and Molecular Biology, Albert Einstein College of Medicine, Bronx, NY; and Nuffield Division of Clinical Laboratory Sciences, John Radcliffe Hospital, Oxford, United Kingdom
Role of feedback and local coupling in CNNs for locomotion control of a quadruped robot

This paper focuses on the role of sensory feedback in a network of neural oscillators used as CNN cells for locomotion control of a simulated quadruped robot. The oscillators are locally connected only through load feedback: each cell receives inputs from the neighbouring legs load signal allowing a phase synchronization that is at the basis of the emergence locomotion gait. Gait transition is then controlled by the oscillation frequency and the connectivity scheme among load signals and CNN neurons, resulting in a load dependent multi template controller.
SOUND FREQUENCIES INDUCE DROUGHT TOLERANCE IN RICE PLANT

To test the sound’s effect on plant and its contribution in drought tolerance, plants were subjected to various sound frequencies for an hour. After 24 h sound treatment, plants were exposed to drought for next five days. During the experiment it was observed that sound initiated physiological changes showing tolerance in plant. Sound frequency with ≥ 0.8 kHz enhanced relative water content, stomatal conductance and quantum yield of PSII (Fv/Fm ratio) in drought stress environment. Hydrogen peroxide (H2O2) production in sound treated plant was declined compared to control. ThermaCAM (Infra-red camera) a software which was used to analyze the plant images temperature showed that sound treated plant and leaf had less temperature (heat) compared to control. The physiological mechanism of sound frequencies induce tolerance in rice plants are discussed.
Postmenopausal screening for osteopenia.

Dual energy X-ray absorptiometry (DXA) measurements of bone mineral density (BMD) in the lumbar spine and femoral neck have been performed in 1000 consecutive women aged between 40 and 60 years referred for screening for osteopenia. A detailed history was taken from each woman that included relevant lifestyle parameters and known risk factors for osteoporosis. After exclusions, e.g. because of fractures, corticosteroid or prolonged HRT use, 627 women (mean age 53 years) were considered suitable for further analysis. The mean BMD in the lumbar spine (L1-L4) was 0.946 g/cm2 and in the femoral neck was 0.767 g/cm2. Significant correlations were found between BMD and years after the menopause and weight (range r = 0.20-0.24). However, these parameters are not reliable enough predictors of BMD to be of value in clinical practice. If osteopenia is to be the basis for initiating prophylactic measures against bone loss, then a threshold BMD must be chosen below which treatment will be advised. Since the correlation coefficient between spinal and femoral neck BMD measurements was only 0.64, assessment of any individual requires consideration of both sites. There is as yet no consensus as to the number of women who may require to be treated and we have provided BMD values that identify a range of population sizes (the lowest 20, 30, 40 and 50 percentiles). It should be noted that there was a 16% loss of BMD in the spine and 14% in the femoral neck during the first 5 years after the menopause. (ABSTRACT TRUNCATED AT 250 WORDS)
The Effect of Hypertension and Diabetes Mellitus on White Matter Changes in MRI Brain: A Comparative Study between Patients with Alzheimer's Disease and an Age-matched Control Group.

Background White matter hyperintensities (WMH) on MRI brain in the periventricular and deep white matter regions are commonly seen in older persons with normal cognition and in patients with AD. Aims To compare presence and severity of WMHs in patients with AD with that in a cognitively normal control group, and to evaluate effect of presence of Hypertension and Diabetes on WMHs in both groups. Material and Methods Thirty four patients with AD were serially recruited from Neurology and Psychiatry OPDs. An age and gender matched cohort of 24 persons with MMSE over 27/30 from the community acted as controls. Vascular risk factors, MMSE and MRI brain were assessed in all. Fezeka's and Pasquier grading of WMH and atrophy were done. Periventricular WMHs (PVWMH) and Deep WMH (DWMH) were assessed separately. Results and Conclusions Overall, Periventricular WMHs of grade 2 and over were seen in 19/34 patients, and in 7/24 controls (P value 0.044). Significantly higher grades of PVWMHs were seen in hypertensives as compared to nonhypertensives in the case group, and in women compared to men. In the control group, hypertension had no effect on severity of PVWMHs. Among both Diabetics and non-diabetics, no difference in PVWMHs was found between the case and control groups. DWMHs were, conversely, seen only in the control group. Overall, over a quarter of cognitively normal older persons had WM hyperintensities of grade 2 and over on MRI brain; 55% of AD patients had PVWMH of Gd 2 or over, and no DWMHs.
Epitaxial Growth of Germanium and Silicon Nanowires by Chemical Vapor Deposition

Germanium (Ge) and silicon (Si) nanowires promise to become useful in the further miniaturization of integrated circuits because they allow for precise structuring at scales of 20-50 nm [1]. In order to accurately characterize the electrical properties of nanowires, a necessary ingredient to any semiconductor device integration route, a reproducible process to fabricate them must be established. Chemical vapor deposition (CVD) presents itself as a useful technique in the fabrication of nanowires by utilizing the vapor-liquid-solid (VLS) mechanism, which also allows for the heterogeneous integration of semiconductor nanowires. Using 2% diluted SiH4 and GeH4 in He as precursor gases in controlled pressure and temperature conditions, and with gold (Au) nanoparticles as catalysts for VLS wire growth, epitaxial growth of Ge and Si nanowires on silicon <111> wafers is demonstrated.
Mise au point Insuffisance rénale aiguë chez le malade d ’ oncohématologie Acute renal failure in patients with oncohematological malignancies

Acute renal failure (ARF) is a serious complication of oncohematological malignancies and constitutes a major source of morbidity and mortality. The pathways leading to ARF in cancer patients are common to the development of ARF in other conditions. However, ARF may also develop due to etiologies arising from cancer treatment such as nephrotoxic chemotherapy agents or the disease itself, including postrenal obstruction, compression or infiltration, and metabolic or immunological mechanism. In the setting of bone marrow transplantation, specific disease may lead to acute renal failure. This article reviews specific renal disease in cancer patients, providing a comprehensive overview of the causes of ARF in this setting such as treatment toxicity, acute renal failure in the setting of myeloma or bone marrow transplantation. © 2005 Société de réanimation de langue française. Publié par Elsevier SAS. Tous droits réservés. Mots clés : Cancer ; Myélome ; Leucémie ; Soins intensifs ; Greffe de moelle ; Insuffisance rénale aiguë
Quantifying Remoteness for Construction Projects Using Nighttime Satellite Imagery and Machine Learning

– Remoteness, although a subjective concept, has indispensable consequences. It can support decision-makers in quantifying risks and feasibilities of developing newly discovered mineral deposits, resilience planning and evaluation of accessibility challenges of remote communities, or support agency budget allocations for much-needed services. Developing a remoteness index typically involves merging spatial and temporal data from a variety of incompatible sources such as topographical, census, and travel cost and duration. This paper presents a novel method for generating a measure of remoteness for any geographical location based on the nighttime satellite imagery. This continuous measure, herein referred to as Nighttime Remoteness Index (NIRI), is generated using machine learning-based models that link the intensity and statistical features of nighttime lights to remoteness; the predictive model is trained and validated using the nighttime satellite imagery and the Accessibility Remoteness Index for Australia (ARIA). This method does not require local data; hence, it is not limited by political jurisdictions or geographic boundaries. The NIRI is developed by using multivariate adaptive regression splines, and support vector machines regressions, after examining several other machine learning techniques. The NIRI maps of Australia and North America are developed based on the validated models.
Asymmetric multi-fractality and market efficiency in stock indices of G-2 countries

The aim of this paper is to detect the asymmetric multi-fractality in stock ind ices of G-2 countries based on the asymmetric multi-fractal detrended fluctuation analysis (A-MFDFA). A-MFDFA is proposed to measure the scaling behavior of time series ; it defines the state of monoand mult i-fractality which indicate the efficient and inefficient market, respectively. In addition to the conventional return-based criteria for market trend, we introduce the index-based model so that the stylized facts of asymmetric multi-fractality can be revealed. Based on two models, we provide the evidences of asymmetric multi-fractality and time-varying efficiency of each stock market with respect to different time window.
The tumor marker tumor M2-PK: an application in the diagnosis of gastrointestinal cancer.

The present study is designed to evaluate the use of the tumor marker Tumor M2-PK in the discrimination between gastrointestinal (Gl) cancer patients and patients with non malignant gastrointestinal diseases. The concentration of Tumor M2-PK was analyzed in EDTA-plasma of 413 Gl cancer-patients and 141 patients with non-malignant diseases. The test resulted in a highly significant discrimination (p < 0.001) of tumor patients and controls. The diagnostic specificity was 89%. A diagnostic sensitivity between 48% and 73%, depending on the different tumor entities (colorectal cancer, gastric cancer, oesophageal cancer and pancreatic cancer), was observed. These sensitivities were generally higher when compared with those of the established tumor markers CEA, CA 19-9 and CA 72-4, with the exception of CA 19-9 in pancreatic cancer. A combination of Tumor M2-PK with the appropriate first choice-marker (e.g. CEA + Tumor M2-PK for colorectal cancer) resulted in a remarkable increase in the sensitivities.
Estimating logit models with small samples

Abstract In small samples, maximum likelihood (ML) estimates of logit model coefficients have substantial bias away from zero. As a solution, we remind political scientists of Firth's (1993, Biometrika, 80, 27–38) penalized maximum likelihood (PML) estimator. Prior research has described and used PML, especially in the context of separation, but its small sample properties remain under-appreciated. The PML estimator eliminates most of the bias and, perhaps more importantly, greatly reduces the variance of the usual ML estimator. Thus, researchers do not face a bias-variance tradeoff when choosing between the ML and PML estimators—the PML estimator has a smaller bias and a smaller variance. We use Monte Carlo simulations and a re-analysis of George and Epstein (1992, American Political Science Review, 86, 323–337) to show that the PML estimator offers a substantial improvement in small samples (e.g., 50 observations) and noticeable improvement even in larger samples (e.g., 1000 observations).
OXER 1 , a G protein-coupled oxoeicosatetraenoid receptor , mediates the survival-promoting effects of arachidonate 5-lipoxygenase in prostate cancer cells

Inhibition of 5-Lox induces apoptosis in prostate cancer cells by inactivating PKCε which is prevented by 5-oxoETE, and activators of PKCε prevent 5-Lox inhibition-induced apoptosis, suggesting that 5-Lox metabolites exert survival signaling via PKCε. However, mechanisms by which 5-Lox metabolites activate PKCε are not understood yet. We found that prostate cancer cells express high levels of OXER1, a G protein-coupled 5-oxoETE receptor, which delivers signal by generating diacyl-glycerol through phospholipase C-beta. Interestingly, we found that U73122, an inhibitor of PLC-beta, interrupts the apoptosis-preventing effect of 5-oxoETE, and exogenous diacyl-glycerol effectively prevents 5-Lox inhibition-induced apoptosis, suggesting that 5-oxoETE signals via OXER1 to promote prostate cancer cell survival.