Miracle-dz/UniFAR-FTUs huggingface dataset:
Video Script Identification Based on Text Lines

In this paper, we present a new method for video script identification which is essential before choosing an appropriate OCR engine for identifying text lines when a video frame contains more than one language. The input for script identification is the text lines obtained by our text detection method. We extract upper and lower extreme points for each connected component of Canny edges of text lines. The extracted points are connected to study the behavior of upper and lower lines. The direction of each 10-pixel segment of the lines is determined using PCA. The average angle of the segments of the upper and lower lines is computed to study the smoothness and cursiveness of the lines. In addition, to discriminate the scripts accurately, the method divides a text line into five equal zones horizontally to study the smoothness and cursiveness of the upper and lower lines of each zone. We evaluate the method by conducting experiments on different combinations of languages such as English and Chinese, English and Tamil, Chinese and Tamil, and English, Chinese and Tamil.
What Parents Want: School Preferences and School Choice

Parental demand for academic performance is a key element in the view that strengthening school choice will drive up school performance. In this paper we analyse what parents look for in choosing schools. We assemble a unique dataset combining survey information on parents’ choices plus a rich set of socio-economic characteristics; administrative data on school characteristics, admissions criteria and allocation rules; and spatial data attached to a pupil census to define the de facto set of schools available to each family in the survey. To achieve identification, we focus on cities where the school place allocation system is truth-revealing (“equal preferences”). We take great care in trying to capture the set of schools that each family could realistically choose from. We also look at a large subset of parents who continued living in the same house as before the child was born, to avoid endogenous house/school moves. We then model the choices made in terms of the characteristics of schools and families and the distances involved. School characteristics include measures of academic performance, school socio-economic and ethnic composition, and its faith school status. Initial results showed strong differences in the set of choices available to parents in different socio-economic positions. Our central analysis uses multinomial logistic regression to show that families do indeed value academic performance in schools. They also value school composition – preferring schools with low fractions of children from poor families. We compute trade-offs between these characteristics as well as between these and distance travelled. We are able to compare these trade-offs for different families. Our results suggest that preferences do not vary greatly between different socio-economic groups once constraints are fully accounted for.
Lipidomic Assessment of Plasma and Placenta of Women with Early-Onset Preeclampsia

Introduction Adipose tissue is responsible for triggering chronic systemic inflammatory response and these changes may be involved in the pathophysiology of preeclampsia. Objective To characterize the lipid profile in the placenta and plasma of patients with preeclampsia. Methodology Samples were collected from placenta and plasma of 10 pregnant women with preeclampsia and 10 controls. Lipids were extracted using the Bligh–Dyer protocol and were analysed by MALDI TOF-TOF mass spectrometry. Results Approximately 200 lipid signals were quantified. The most prevalent lipid present in plasma of patients with preeclampsia was the main class Glycerophosphoserines-GP03 (PS) representing 52.30% of the total lipid composition, followed by the main classes Glycerophosphoethanolamines-GP02 (PEt), Glycerophosphocholines-GP01 (PC) and Flavanoids-PK12 (FLV), with 24.03%, 9.47% and 8.39% respectively. When compared to the control group, plasma samples of patients with preeclampsia showed an increase of PS (p<0.0001), PC (p<0.0001) and FLV (p<0.0001). Placental analysis of patients with preeclampsia, revealed the PS as the most prevalent lipid representing 56.28%, followed by the main class Macrolides/polyketides-PK04 with 32.77%, both with increased levels when compared with patients control group, PS (p<0.0001) and PK04 (p<0.0001). Conclusion Lipids found in placenta and plasma from patients with preeclampsia differ from those of pregnant women in the control group. Further studies are needed to clarify if these changes are specific and a cause or consequence of preeclampsia.
Nonlinear Dynamics of Paced Cardiac Cells

Abstract: When a cardiac cell is rapidly paced it can exhibit a beat‐to‐beat alternation in the action potential duration (APD) and the intracellular calcium transient. This dynamical instability at the cellular level has been shown to correlate with the genesis of cardiac arrhythmias and has motivated the application of nonlinear dynamics in cardiology. In this article, we review mathematical approaches to describe the underlying mechanisms for alternans using beat‐to‐beat iterated maps. We explain the development and properties of these maps, and show that they provide a fruitful framework to understand dynamical instabilities of voltage and calcium in paced cardiac cells.
Identification of authentic estrogen receptor in cultured endothelial cells. A potential mechanism for steroid hormone regulation of endothelial function.

BACKGROUND Estrogen plays a major role in the delayed expression of coronary heart disease (CHD) in women, and recent data indicate that postmenopausal estrogen therapy reduces the incidence of CHD by > 40%. The mechanism or mechanisms through which estrogen exerts this benefit are unknown, although effects on blood pressure, carbohydrate and lipid metabolism, and coagulation have been suggested. We hypothesized that at least part of the effect of estrogen in reducing the incidence of CHD is due to an effect on endothelial cell function. METHODS AND RESULTS In the present study, we examined human aortic and umbilical vein endothelial cells and bovine aortic endothelial cells for the presence of estrogen receptors (ERs) through immunoblot and mRNA analyses. Electrophoretic mobility shift assays were also performed to determine the DNA-binding properties of the putative ERs. Nuclear extracts from all three endothelial cell types were found to contain a 67-kD protein that reacted with anti-ER monoclonal antibodies specific to different domains of the ERs. Each of these types of cells expresses proteins that bind specifically to consensus estrogen-responsive elements. Finally, Northern blots verified that endothelial cells express abundant amount of mRNA for the ER. CONCLUSIONS These data indicate that endothelial cells constitutively possess the potential for transcriptional regulation of target genes by estrogen. The evolutionary conservation of this receptor in bovine and human endothelial cells suggests a common mechanism for estrogen regulation of endothelial function.
Bandpass Empirical Mode Decomposition Using a Rolling Ball Algorithm

We propose using a rolling ball algorithm, which moves a ball along a time series signal, to sort the local extrema within a signal according to a geometric tangibility criterion. Letting the ball always roll above or below the signal, we are able to classify the signal’s extrema according to their tangibility: touched or not touched by the ball. Applying this ball-tangibility information to select an extremum in the empirical mode decomposition (EMD) algorithm, we are able to prevent the mode mixing problem in analyzing intermittent signals and decompose mode functions satisfying bandpass filtering properties.
Genetics of the Hippocampal Transcriptome in Mouse: A Systematic Survey and Online Neurogenomics Resource

Differences in gene expression in the CNS influence behavior and disease susceptibility. To systematically explore the role of normal variation in expression on hippocampal structure and function, we generated an online microarray database for a diverse panel of strains of mice, including most common inbred strains and numerous recombinant inbred lines (www.genenetwork.org). Using this resource, coexpression networks for families of genes can be generated rapidly to test causal models related to function. The data set is optimized for quantitative trait locus (QTL) mapping and was used to identify over 5500 QTLs that modulate mRNA levels. We describe a wide variety of analyses and novel synthetic approaches that take advantage of this resource, and demonstrate how both the data and associated tools can be applied to the study of gene regulation in the hippocampus and relations to structure and function.
Use of administrative data or clinical databases as predictors of risk of death in hospital: comparison of models

Objective To compare risk prediction models for death in hospital based on an administrative database with published results based on data derived from three national clinical databases: the national cardiac surgical database, the national vascular database and the colorectal cancer study. Design Analysis of inpatient hospital episode statistics. Predictive model developed using multiple logistic regression. Setting NHS hospital trusts in England. Patients All patients admitted to an NHS hospital within England for isolated coronary artery bypass graft (CABG), repair of abdominal aortic aneurysm, and colorectal excision for cancer from 1996-7 to 2003-4. Main outcome measures Deaths in hospital. Performance of models assessed with receiver operating characteristic (ROC) curve scores measuring discrimination (<0.7=poor, 0.7-0.8=reasonable, >0.8=good) and both Hosmer-Lemeshow statistics and standardised residuals measuring goodness of fit. Results During the study period 152 523 cases of isolated CABG with 3247 deaths in hospital (2.1%), 12 781 repairs of ruptured abdominal aortic aneurysm (5987 deaths, 46.8%), 31 705 repairs of unruptured abdominal aortic aneurysm (3246 deaths, 10.2%), and 144 370 colorectal resections for cancer (10 424 deaths, 7.2%) were recorded. The power of the complex predictive model was comparable with that of models based on clinical datasets with ROC curve scores of 0.77 (v 0.78 from clinical database) for isolated CABG, 0.66 (v 0.65) and 0.74 (v 0.70) for repairs of ruptured and unruptured abdominal aortic aneurysm, respectively, and 0.80 (v 0.78) for colorectal excision for cancer. Calibration plots generally showed good agreement between observed and predicted mortality. Conclusions Routinely collected administrative data can be used to predict risk with similar discrimination to clinical databases. The creative use of such data to adjust for case mix would be useful for monitoring healthcare performance and could usefully complement clinical databases. Further work on other procedures and diagnoses could result in a suite of models for performance adjusted for case mix for a range of specialties and procedures.
Shank mutant mice as an animal model of autism

In this review, we focus on the role of the Shank family of proteins in autism. In recent years, autism research has been flourishing. With genetic, molecular, imaging and electrophysiological studies being supported by behavioural studies using animal models, there is real hope that we may soon understand the fundamental pathology of autism. There is also genuine potential to develop a molecular-level pharmacological treatment that may be able to deal with the most severe symptoms of autism, and clinical trials are already underway. The Shank family of proteins has been strongly implicated as a contributing factor in autism in certain individuals and sits at the core of the alleged autistic pathway. Here, we analyse studies that relate Shank to autism and discuss what light this sheds on the possible causes of autism.
Application of Structured Light System Technique for Authentication of Wooden Panel Paintings

This paper presents a new application of photogrammetric techniques for protecting cultural heritage. The accuracy of the method and the fact that it can be used to carry out different tests without contact between the sample and the instruments can make this technique very useful for authenticating and cataloging artworks. The application focuses on the field of pictorial artworks, and wooden panel paintings in particular. In these works, the orography formed by the brushstrokes can be easily digitalized using a photogrammetric technique, called Structured Light System, with submillimeter accuracy. Thus, some of the physical characteristics of the brushstrokes, like minimum and maximum heights or slopes become a fingerprint of the painting. We explain in detail the general principles of the Structured Light System Technique and the specific characteristics of the commercial set-up used in this work. Some experiments are carried out on a sample painted by us to check the accuracy limits of the technique and to propose some tests that can help to stablish a methodology for authentication purposes. Finally, some preliminary results obtained on a real pictorial artwork are presented, providing geometrical information of its metric features as an example of the possibilities of this application.
Study on the Functions of UV Curable Reactive Mesogen in LCD Fabricated by Coating Method

Slit coater method as a fabrication process for flexible type liquid crystal display (LCD) is one of a suitable technique because of its unnecessity of thermal and vacuum process. In our previous study, planar and/or vertical alignment properties for liquid crystal (LC) by means of the slit coater method, where the doped reactive mesogens was UV-polymerized and played a role of LC alignment film, were demonstrated. In this paper, a dependence of pretilt angle on the UV irradiation condition such as the irradiation energy and wavelength was investigated. Keyword: flexible display, printable electronics, reactive mesogen, nematic liquid crystal, shear flow
Probabilistic Neural Network Approaches for Autonomous Identification of Structural Dynamics

This paper presents an application of Probabilistic Neural Networks (PNN) to identify dynamic responses of structures. The PNN architecture is described and its operation relative to other neural network types is discussed. The instant learning prop erty of the PNN is shown to be a critical advantage for applications where both adaptivity and autonomous operation are required. An example, PNN-based identification of struc tural responses from structural-member strain measurements is presented to illustrate op eration of the network. The network is shown to be capable of classifying dynamics in a spatial-frequency domain very quickly using a small number of active elements.
Effects of a computerized system to support shared decision making in symptom management of cancer patients: preliminary results.

OBJECTIVE (1) To evaluate preliminary effects of a computerized support system on congruence between patients' reported symptoms and preferences and those addressed in the patient consultation and (2) to investigate the system's ease of use, time requirements, and patient satisfaction. DESIGN Fifty-two patients were randomly assigned to intervention or control conditions. MEASUREMENTS Cancer patients scheduled for an outpatient visit used the system on a tablet computer to report their symptoms and preferences prior to their consultation. This information was processed, printed, and provided to the patient and clinician in the subsequent consultation in the experimental group but not in the control group. RESULTS While patients in both groups were equivalent at baseline in symptom characteristics, there was significantly greater congruence between patients' reported symptoms and those addressed by their clinicians in the experimental group. The system scored high on ease of use. There were no significant group differences in patient satisfaction. CONCLUSION This study provided beginning evidence that eliciting patients' symptoms and preferences and providing clinicians with this information prior to consultation can be an effective and feasible strategy to improve patient-centered care.
DNA adduct formation by the anticancer drug ellipticine in rats determined by 32P postlabeling

Ellipticine is a potent antineoplastic agent whose mode of action is considered to be based mainly on DNA intercalation and/or inhibition of topoisomerase II. Recently, we found that ellipticine also forms covalent DNA adducts in vitro and that the formation of the major adduct is dependent on the activation of ellipticine by cytochrome P450 (CYP). Here, we investigated the capacity of ellipticine to form DNA adducts in vivo. Male Wistar rats were treated with ellipticine, and DNA from various organs was analyzed by 32P postlabeling. Ellipticine‐specific DNA adduct patterns, similar to those found in vitro, were detected in most test organs. Only DNA of testes was free of the ellipticine‐DNA adducts. The highest level of DNA adducts was found in liver (19.7 adducts per 107 nucleotides), followed by spleen, lung, kidney, heart and brain. One major and one minor ellipticine‐DNA adducts were found in DNA of all these organs of rats exposed to ellipticine. Besides these, 2 or 3 additional adducts were detected in DNA of liver, kidney, lung and heart. The predominant adduct formed in rat tissues in vivo was identical to the deoxyguanosine adduct generated in DNA by ellipticine in vitro as shown by cochromatography in 2 independent systems. Correlation studies showed that the formation of this major DNA adduct in vivo is mediated by CYP3A1‐ and CYP1A‐dependent reactions. The results presented here are the first report showing the formation of CYP‐mediated covalent DNA adducts by ellipticine in vivo and confirm the formation of covalent DNA adducts as a new mode of ellipticine action. © 2003 Wiley‐Liss, Inc.
Control strategy for systems with input-induced nonlinearities: A printing system case study

The paper discusses economic performance design under nonlinear dynamic behavior and changing operating conditions. Two methods to control plants with input-induced nonlinearities in the presence of hard constraints are presented. A nonlinear predictive controller is designed based on a nonlinear dynamic parameter-dependent model of the system for tracking control. Next a decomposition of the model of the plant is made which allows nonlinear optimal static feedforward and linear dynamic feedback. Model predictive control (MPC) was selected to control the transients while satisfying all constraints without loss of performance. The control scheme has been applied on an industrial printing system. Simulation examples show the effectiveness of the proposed approaches in the presence of variation in the input print queue and constraints.
Healthy older observers cannot use biological-motion point-light information efficiently within 4 m of themselves

Healthy aging is associated with a number of perceptual changes, but measures of biological-motion perception have yielded conflicting results. Biological motion provides information about a walker, from gender and identity to speed, direction, and distance. In our natural environment, as someone approaches us (closer distances), the walker spans larger areas of our field of view, the extent of which can be underutilized with age. Yet, the effect of age on biological-motion perception in such real-world scenarios remains unknown. We assessed the effect of age on discriminating walking direction in upright and inverted biological-motion patterns, positioned at various distances in virtual space. Findings indicate that discrimination is worse at closer distances, an effect exacerbated by age. Older adults' performance decreases at distances as far away as 4 m, whereas younger adults maintain their performance as close as 1 m (worse at 0.5 m). This suggests that older observers are limited in their capacity to integrate information over larger areas of the visual field and supports the notion that age-related effects are more apparent when larger neural networks are required to process simultaneous information. This has further implications for social contexts where information from biological motion is critical.
Ferula asafoetida: Traditional uses and pharmacological activity

Ferula asafoetida is herbaceous plant of the umbelliferae family. It is oleo gum resin obtained from the rhizome and root of plant. This spice is used as a digestive aid, in food as a condiment and in pickles. It is used in modern herbalism in the treatment of hysteria, some nervous conditions, bronchitis, asthma and whooping cough. It was at one time employed in the treatment of infantile pneumonia and flatulent colic. The gum resin is antispasmodic, carminative, expectorant, laxative, and sedative. The volatile oil in the gum is eliminated through the lungs, making this an excellent treatment for asthma. The odor of asafoetida is imparted to the breath, secretions, flatus, and gastric eructations. Its properties are antispasmodic, expectorant, stimulant, emmenagogue and vermifuge. Asafoetida has also been used as a sedative. It also thins the blood and lowers blood pressure. It is widely used in India in food and as a medicine in Indian systems of medicine like ayurveda. Asafoetida has been held in great esteem among indigenous medicines, particularly in Unani system from the earliest times.
Aspects of Radar Polarimetry

This contribution is a tutorial introduction to the phenomenological theory of radar polarimetry for the coherent scatter case emphasizing monostatic backscattering and forward scattering (transmission). Characteristic similarities and differences between radar polarimetry and optical polarimetry and the role of linear and antilinear operators (time-reversal) are pointed out and typical polarimetric invariants are identified.
Switching activity generation with automated BIST synthesis forperformance testing of interconnects

A novel scheme of synthesizing nonlinear feedback shift register structures that can be superimposed on the boundary of the component of a system under test to generate interconnect switching activities that resemble real life interconnect switching profiles is proposed. The goal is to perform at-speed interconnect test while simultaneously capturing the dynamic switching effects such as crosstalk and ground bounce, as accurately as possible during interconnect built-in self-test. A library of nonlinear feedback shift register structures called precharacterized test pattern generators (P-TPGs) is constructed. Components of P-TPGs can be modeled using Markov chain and can be interconnected together in specific ways to recreate the switching activity profile of the interconnections being tested. The unique advantage of this scheme is that there is no simulation overhead since P-TPG components are precharacterized by solving Markov equations analytically. An integrated genetic algorithm-based search and optimization technique for finding the best P-TPG component among various possible implementations and matching its activity profiles with those of the interconnections under test has been designed and implemented synthesis for testability allows generation of the worst case interconnect switching activities. Experimental results confirm the validity of our approach.