Miracle-dz/UniFAR-FTUs huggingface dataset:
Advances in blind source separation (BSS) and independent component analysis (ICA) for nonlinear mixtures

In this paper, we review recent advances in blind source separation (BSS) and independent component analysis (ICA) for nonlinear mixing models. After a general introduction to BSS and ICA, we discuss in more detail uniqueness and separability issues, presenting some new results. A fundamental difficulty in the nonlinear BSS problem and even more so in the nonlinear ICA problem is that they provide non-unique solutions without extra constraints, which are often implemented by using a suitable regularization. In this paper, we explore two possible approaches. The first one is based on structural constraints. Especially, post-nonlinear mixtures are an important special case, where a nonlinearity is applied to linear mixtures. For such mixtures, the ambiguities are essentially the same as for the linear ICA or BSS problems. The second approach uses Bayesian inference methods for estimating the best statistical parameters, under almost unconstrained models in which priors can be easily added. In the later part of this paper, various separation techniques proposed for post-nonlinear mixtures and general nonlinear mixtures are reviewed.
Identification and quantification of the Ames mutagenic compound 3-chloro-4-(dichloromethyl)-5-hydroxy-2(5H)-furanone and of its geometric isomer (E)-2-chloro-3-(dichloromethyl)-4-oxobutenoic acid in chlorine-treated humic water and drinking water extracts.

Mutagenic compounds in XAD extracts of chlorinated humic water were separated in two stages of fractionation by reversed-phase high-performance liquid chromatography. Analyses of mutagenic fractions by gas chromatography/mass spectroscopy resulted in the identification of the strong Ames mutagen 3-chloro-4-(dichloromethyl)-5-hydroxy-2(5H)-furanone (MX) and its geometric isomer (E)-2-chloro-3-(dichloromethyl)-4-oxobutenoic acid (E-MX). Both compounds were also detected in extracts of chlorinated drinking waters. MX accounted for 50-100% of the activity of extracts of chlorinated humic water and for 20-50% of the activity of extracts of drinking water. E-MX exhibited at most one-tenth of the MX mutagenicity and accounted for 2% or less of the activity of the extracts of drinking water. However, because of the poor reproducibility of E-MX mutagenicity tests and the ability of the compound to isomerize the MX, there is uncertainty about the significance of E-MX in chlorinated waters.
Effects of hydrolysed Saccharomyces cerevisiae yeast and yeast cell wall components on live performance, intestinal histo-morphology and humoral immune response of broilers

1. The effects of enzymatically hydrolysed whole Saccharomyces cerevisiae yeast (HY) and the pellets of yeast cell wall (YCW) on production traits, the microbiology and histo-morphology of the small intestine, and humoral immune responses against Newcastle disease virus (NDV), of Ross 308 broilers were investigated. 2. The control group received a maize-soyabean meal based basal diet for 42 days. In the treated groups the basal diet was supplemented with 1 g/kg of HY and YCW. There were 8 replicate pens per group (n = 12 birds/pen). 3. HY and YCW supplementation improved live weight (P = 0·006) and FCR (P = 0·003) at 42-d as compared with the control group. 4. In the small intestine, Salmonella spp and Escherichia coli numbers were higher (P = 0·01) in the mucosa and lower (P = 0·01) in the digesta of the HY and the YCW fed groups at 25 d of age. Lactobacillus in the duodenal and jejunal digesta was higher (P < 0·05) in the HY and the YCW fed groups as compared with the control. 5. Following oral challenge with Salmonella pullorum, Escherichia coli and Lactobacillus increased (P < 0·05) in the mucosa and decreased in the digesta (P < 0·05) of the HY and YCW supplemented groups, relative to the control. 6. Supplementation of HY and YCW increased villus height in the jejunum (P = 0·02), width of villus in the ileum (P = 0·034) and number of goblet cells in villi of the jejunum (P = 0·006) and ileum (P = 0·01). 7. YCW increased antibody level against NDV at 21 and 42 d of age compared with the control and the HY supplemented diets (P < 0·05). 8. It was concluded that HY and YCW improved growth and feed efficiency in broilers, and considering the improvements in production traits and humoral immune responses, yeast cell wall may be a better dietary tool than the hydrolysed whole yeast cell as a performance enhancer for broilers.
Combining long memory and level shifts in modelling and forecasting the volatility of asset returns

Abstract We propose a parametric state space model of asset return volatility with an accompanying estimation and forecasting framework that allows for ARFIMA dynamics, random level shifts and measurement errors. The Kalman filter is used to construct the state-augmented likelihood function and subsequently to generate forecasts, which are mean and path-corrected. We apply our model to eight daily volatility series constructed from both high-frequency and daily returns. Full sample parameter estimates reveal that random level shifts are present in all series. Genuine long memory is present in most high-frequency measures of volatility, whereas there is little remaining dynamics in the volatility measures constructed using daily returns. From extensive forecast evaluations, we find that our ARFIMA model with random level shifts consistently belongs to the 10% Model Confidence Set across a variety of forecast horizons, asset classes and volatility measures. The gains in forecast accuracy can be very pronounced, especially at longer horizons.
Thyroid dysfunction and pregnancy outcomes

Background: Pregnancy has a huge impact on the thyroid function in both healthy women and those that have thyroid dysfunction. The prevalence of thyroid dysfunction in pregnant women is relatively high. Objective: The objective of this review was to increase awareness and to provide a review on adverse effect of thyroid dysfunction including hyperthyroidism, hypothyroidism and thyroid autoimmune positivity on pregnancy outcomes. Materials and Methods: In this review, Medline, Embase and the Cochrane Library were searched with appropriate keywords for relevant English manuscript. We used a variety of studies, including randomized clinical trials, cohort (prospective and retrospective), case-control and case reports. Those studies on thyroid disorders among non-pregnant women and articles without adequate quality were excluded. Results: Overt hyperthyroidism and hypothyroidism has several adverse effects on pregnancy outcomes. Overt hyperthyroidism was associated with miscarriage, stillbirth, preterm delivery, intrauterine growth retardation, low birth weight, preeclampsia and fetal thyroid dysfunction. Overt hypothyroidism was associated with abortion, anemia, pregnancy-induced hypertension, preeclampsia, placental abruption, postpartum hemorrhage, premature birth, low birth weight, intrauterine fetal death, increased neonatal respiratory distress and infant neuro developmental dysfunction. However the adverse effect of subclinical hypothyroidism, and thyroid antibody positivity on pregnancy outcomes was not clear. While some studies demonstrated higher chance of placental abruption, preterm birth, miscarriage, gestational hypertension, fetal distress, severe preeclampsia and neonatal distress and diabetes in pregnant women with subclinical hypothyroidism or thyroid autoimmunity; the other ones have not reported these adverse effects. Conclusion: While the impacts of overt thyroid dysfunction on feto-maternal morbidities have been clearly identified and its long term impact on childhood development is well known, data on the early and late complications of subclinical thyroid dysfunction during pregnancy or thyroid autoimmunity are controversial. Further studies on maternal and neonatal outcomes of subclinical thyroid dysfunction maternal are needed.
Towards Smart Homes Using Low Level Sensory Data

Ubiquitous Life Care (u-Life care) is receiving attention because it provides high quality and low cost care services. To provide spontaneous and robust healthcare services, knowledge of a patient’s real-time daily life activities is required. Context information with real-time daily life activities can help to provide better services and to improve healthcare delivery. The performance and accuracy of existing life care systems is not reliable, even with a limited number of services. This paper presents a Human Activity Recognition Engine (HARE) that monitors human health as well as activities using heterogeneous sensor technology and processes these activities intelligently on a Cloud platform for providing improved care at low cost. We focus on activity recognition using video-based, wearable sensor-based, and location-based activity recognition engines and then use intelligent processing to analyze the context of the activities performed. The experimental results of all the components showed good accuracy against existing techniques. The system is deployed on Cloud for Alzheimer’s disease patients (as a case study) with four activity recognition engines to identify low level activity from the raw data captured by sensors. These are then manipulated using ontology to infer higher level activities and make decisions about a patient’s activity using patient profile information and customized rules.
Mesenteric caseous lymphadenitis in a cow calf caused by Corynebacterium pseudotuberculosis: a case report

Caseous lymphadenitis caused by Corynebacterium pseudotuberculosis is mainly a disease of sheep and goats and is of zoonotic importance. The disease has rarely been recorded in cattle and mostly in its superfi- cial form. The present communication deals with an extremely rare case of corynebacterium-induced mesenteric pseudotuberculosis in a cow calf. The gross, cytologic, histopathologic and microbial isolation as well as cultural characteristics of the organisms have been described, as well as the mode of spread of the disease to the mesenteric lymph nodes. To the authors' knowledge, this is the first report of mesenteric caseous lymphadenitis in a cow calf.
Heat treatment of egg white controls allergic symptoms and induces oral tolerance to ovalbumin in a murine model of food allergy.

SCOPE Heated foods often present low allergenicity, and have recently been used in specific oral immunotherapy for food allergies. However, the influence of heating on tolerogenicity of food allergens is not well elucidated. Here, we investigated biochemical, allergenic, and tolerogenic properties of heated egg white (EW) using a murine model of food allergy. METHODS AND RESULTS Raw EWs were treated at 80°C for 15 min (80EW, mild heating condition), 100°C for 5 min (100EW, cooking condition), or 121°C for 40 min (121EW, retort pouch condition), and freeze-dried. A transgenic OVA23-3 mice model expressing T-cell receptor specific for ovalbumin (OVA, a major EW allergen) induced Th2 cells and IgE production, and presented intestinal inflammation when fed untreated EW diet. 80EW-fed mice presented only moderate inflammation but high Th2 responses. 100EW-fed mice did not present inflammation but induced tolerance as seen in reduced T-cell responses and IgE levels. 100EW demonstrated higher digestive stability and slower absorption in intestine, compared with untreated EW and 80EW. 121EW was strongly aggregated, was not absorbed well, and developed Th1 responses without tolerance induction. CONCLUSION OVA in EW treated only under a particular heat condition (e.g. 100°C for 5 min) lost allergenicity, but possessed tolerogenicity.
Iterative learning control for constrained linear systems

This article considers iterative learning control (ILC) for linear systems with convex control input constraints. First, the constrained ILC problem is formulated in a novel successive projection framework. Then, based on this projection method, two algorithms are proposed to solve this constrained ILC problem. The results show that, when perfect tracking is possible, both algorithms can achieve perfect tracking. The two algorithms differ, however, in that one algorithm needs much less computation than the other. When perfect tracking is not possible, both algorithms can exhibit a form of practical convergence to a ‘best approximation’. The effect of weighting matrices on the performance of the algorithms is also discussed and finally, numerical simulations are given to demonstrate the effectiveness of the proposed methods.
Aromatase inhibitor-associated musculoskeletal symptoms: incidence and associated factors

Purpose Arthralgia is the most common side effect in breast cancer patients receiving aromatase inhibitor (AI) therapy. Few studies have evaluated the risk factors, onset, and incidence of musculoskeletal pain in these patients. This study identifies the risk factors of AI-related severe arthralgia and their prevalence. Methods All the clinical and pathological records of postmenopausal patients diagnosed with invasive breast cancer using AI at Samsung Medical Center from January 2005 to November 2007 were reviewed. Multivariate logistic regression analyses were performed to evaluate the risk factors of AI-associated musculoskeletal symptoms (AIMSS) and factors associated with AI discontinuance. Results Among 299 patients, 69 patients (23%) experienced musculoskeletal symptoms attributed to AI use. In multivariate logistic regression analysis, no statistically significant outcome was found to confirm the risk factors for the development of AIMSS. Among the 69 patients who experienced AI-associated musculoskeletal symptoms, 29 (39.7%) discontinued AI use. Multivariate logistic regression analyses revealed an association of prior tamoxifen use with discontinuance of AI (P < 0.01; odds ratio, 4.27; 95% confidence interval, 1.74 to 10.50). Conclusion Prior use of tamoxifen is related to discontinuation of AI due to AI-associated severe arthralgia. Special monitoring and proper pain control for these patients should be considered during the treatment period.
Skeletonization of ribbon-like shapes based on regularity and singularity analyses

A major problem with traditional skeletonization algorithms is that their results do not always conform to human perceptions since they often contain unwanted artifacts. This paper presents an indirect skeletonization method to reduce these artifacts. The method is based on analyzing regularities and singularities of shapes. A shape is first partitioned into a set of triangles using the constrained Delaunay triangulation technique. Then, regular and singular regions of the shape are identified from the partitioning. Finally, singular regions are stabilized to produce a better result. Experiments show that skeletons obtained from the proposed method closely resemble human perceptions of the underlying shapes.
Frequency and cause of disagreements in diagnoses for fetuses referred for ventriculomegaly.

PURPOSE To prospectively assess the frequency and cause of disagreements in diagnoses at ultrasonography (US) and magnetic resonance (MR) imaging for fetuses referred for ventriculomegaly (VM). MATERIALS AND METHODS One hundred ninety-five women, aged 18-44 years, with 200 fetal referrals for VM, were recruited in a prospective IRB-approved, HIPAA-compliant study. Written informed consent was obtained. US scans were prospectively interpreted by three obstetric radiologists and MR examinations were read by one obstetric radiologist and three pediatric neuroradiologists. Final diagnosis was reached by consensus (198 US, 198 MR, and 196 US-MR comparisons). Gestational age, ventricular size, types of disagreements, and reasons for disagreements were recorded. Interreader agreement was assessed with kappa statistics. Ventricular diameter, gestational age, and confidence scores were analyzed by using mixed-model analysis of variance, accounting for correlation within reader and fetus. RESULTS There was prospective agreement on 118 (60%) of 198 US and 104 (53%) of 198 MR readings. Consensus was more likely when the final diagnosis was isolated VM (83 of 104, 80% at US; 82 of 109, 75% at MR) than when the final diagnosis included other anomalies as well (14 of 63, 22% at US; seven of 68, 10% at MR; P < .001). There was disagreement on 19 (10%) of 196 and 31 (16%) of 196 fetuses about the presence of VM at US and MR, respectively, and on 29 (15%) of 198 and 39 (20%) of 198 fetuses regarding the presence of major findings at US and MR, respectively. Reasons for discrepancies in reporting major findings included errors of observation, lack of real-time US scanning, lack of neuroradiology experience, as well as modality differences in helping depict abnormalities. CONCLUSION Of radiologists who read high-risk obstetric US and fetal MR images for VM, there is considerable variability in central nervous system diagnosis.
Phages in the Human Body

Bacteriophages, viruses that infect bacteria, have re-emerged as powerful regulators of bacterial populations in natural ecosystems. Phages invade the human body, just as they do other natural environments, to such an extent that they are the most numerous group in the human virome. This was only revealed in recent metagenomic studies, despite the fact that the presence of phages in the human body was reported decades ago. The influence of the presence of phages in humans has yet to be evaluated; but as in marine environments, a clear role in the regulation of bacterial populations could be envisaged, that might have an impact on human health. Moreover, phages are excellent vehicles of genetic transfer, and they contribute to the evolution of bacterial cells in the human body by spreading and acquiring DNA horizontally. The abundance of phages in the human body does not pass unnoticed and the immune system reacts to them, although it is not clear to what extent. Finally, the presence of phages in human samples, which most of the time is not considered, can influence and bias microbiological and molecular results; and, in view of the evidences, some studies suggest that more attention needs to be paid to their interference.
Multiscale composites based on a nanoclay-enhanced matrix and E-glass chopped strand mat

The present work aimed at studying the effect of amino-silanized Na+-montmorillonite nanoclay in various matrix weight ratios (1–7 wt% at a step of 2 wt%) on the mechanical and dry sliding wear behaviors of E-glass chopped strand mat/epoxy composites. The successful grafting of organosilane compound onto the Mt surface was confirmed using Fourier-transform infrared spectroscopy, simultaneous thermal analysis, and X-ray diffraction. Out of the fabricated multiscale composites, the best mechanical strengths were obtained in the specimen with 5 wt% amino-silanized Na+-montmorillonite loading, which demonstrated 18%, 38%, and 53% improvement in the tensile, flexural, and compressive strengths, respectively, compared to the neat chopped strand mat/epoxy composite. The results of pin-on-disk wear test exhibited approximately 81% and 58% decrease in the wear rate and coefficient of friction due to the incorporation of 5 wt% amino-silanized Na+-montmorillonite into the chopped strand mat/epoxy composite. Enhanced mechanical properties and wear behavior of multiscale composite filled with the amino-silanized Na+-montmorillonite nanoparticles were observed compared with those of the unmodified montmorillonite/chopped strand mat/epoxy composite. Based on the microscopic examination of fractured and worn surfaces, the possible mechanisms were identified and evaluated.
Construct validity of the Trail Making Test: Role of task-switching, working memory, inhibition/interference control, and visuomotor abilities

Abstract The aim of this study was to clarify which cognitive mechanisms underlie Trail Making Test (TMT) direct and derived scores. A comprehensive review of the literature on the topic was carried out to clarify which cognitive factors had been related to TMT performance. Following the review, we explored the relative contribution from working memory, inhibition/interference control, task-switching ability, and visuomotor speed to TMT performance. Forty-one healthy old subjects participated in the study and performed a battery of neuropsychological tests including the TMT, the Digit Symbol subtest [Wechsler Adult Intelligence Scale (Third Version) (WAIS-III)], a Finger Tapping Test, the Digits Forward and Backward subtests (WAIS-III), Stroop Test, and a task-switching paradigm inspired in the Wisconsin Card Sorting Test. Correlation and regression analyses were used in order to clarify the joint and unique contributions from different cognitive factors to the prediction of TMT scores. The results suggest that TMT-A requires mainly visuoperceptual abilities, TMT-B reflects primarily working memory and secondarily task-switching ability, while B-A minimizes visuoperceptual and working memory demands, providing a relatively pure indicator of executive control abilities. (JINS, 2009, 15, 438–450.)
Military Participants at U.S. Atmospheric Nuclear Weapons Testing—Methodology for Estimating Dose and Uncertainty

Methods were developed to calculate individual estimates of exposure and dose with associated uncertainties for a sub-cohort (1,857) of 115,329 military veterans who participated in at least one of seven series of atmospheric nuclear weapons tests or the TRINITY shot carried out by the United States. The tests were conducted at the Pacific Proving Grounds and the Nevada Test Site. Dose estimates to specific organs will be used in an epidemiological study to investigate leukemia and male breast cancer. Previous doses had been estimated for the purpose of compensation and were generally high-sided to favor the veteran's claim for compensation in accordance with public law. Recent efforts by the U.S. Department of Defense (DOD) to digitize the historical records supporting the veterans' compensation assessments make it possible to calculate doses and associated uncertainties. Our approach builds upon available film badge dosimetry and other measurement data recorded at the time of the tests and incorporates detailed scenarios of exposure for each veteran based on personal, unit, and other available historical records. Film badge results were available for approximately 25% of the individuals, and these results assisted greatly in reconstructing doses to unbadged persons and in developing distributions of dose among military units. This article presents the methodology developed to estimate doses for selected cancer cases and a 1% random sample of the total cohort of veterans under study.