Miracle-dz/UniFAR-FTUs huggingface dataset:
30.3 Organic-transistor-based 2kV ESD-tolerant flexible wet sensor sheet for biomedical applications with wireless power and data transmission using 13.56MHz magnetic resonance

A wet sensor, which detects the presence or absence of liquid, is an important tool for biomedical, nursing-care, and elderly-care applications such as the detection of blood in bandages, sweat in underwear, and urination in diapers. A wet sensor should be a thin, mechanically flexible, large-area, and low-cost device with wireless power and data transmission, because constant monitoring with a rigid and wired wet sensor placed on human skin is annoying. Moreover, the wet sensor should be disposable from a hygiene perspective. In order to meet these requirements, an organic transistor based flexible wet sensor sheet (FWSS) with wireless power and data transmission using 13.56MHz magnetic resonance is developed to detect urination in diapers.
Modeling deformable objects from a single depth camera

We propose a novel approach to reconstruct complete 3D deformable models over time by a single depth camera, provided that most parts of the models are observed by the camera at least once. The core of this algorithm is based on the assumption that the deformation is continuous and predictable in a short temporal interval. While the camera can only capture part of a whole surface at any time instant, partial surfaces reconstructed from different times are assembled together to form a complete 3D surface for each time instant, even when the shape is under severe deformation. A mesh warping algorithm based on linear mesh deformation is used to align different partial surfaces. A volumetric method is then used to combine partial surfaces, fix missing holes, and smooth alignment errors. Our experiment shows that this approach is able to reconstruct visually plausible 3D surface deformation results with a single camera.
Extended depth-of-field via focus stacking and graph cuts

Optical lenses are only able to focus a single scene plane onto the sensor, leaving the remainder of the scene subject to varying levels of defocus. The apparent depth of field can be extended by capturing a sequence with varying focal planes that is merged by selecting, for each pixel in the target image, the most focused corresponding pixel from the stack. This process is heavily dependent on capturing a stabilised sequence-a requirement that is impractical for hand-held cameras. Here we have developed a novel method that can merge a focus stack captured by a hand-held camera despite changes in shooting position and focus. Our approach is able to register the sequence using affine transformation before fusing the focus stack. We have developed a merging process that is able to identify the focused pixels for each pixel in the stack and therefore select the most appropriate pixels for the synthetically focused image. We have proposed a novel approach for capturing qualified focus stack on mobile phone cameras. Furthermore, we test our approach on a mobile phone platform that can automatically capture a focus stack as easily as a photographer capturing a conventional image.
Application of Athletic Movement Tests that Predict Injury Risk in a Military Population: Development of Normative Data.

Performance on movement tests helps to predict injury risk in a variety of physically active populations. Understanding baseline measures for normal is an important first step. OBJECTIVES Determine differences in physical performance assessments and describe normative values for these tests based on military unit type. METHODS Assessment of power, balance, mobility, motor control, and performance on the Army Physical Fitness Test were assessed in a cohort of 1,466 soldiers. Analysis of variance was performed to compare the results based on military unit type (Rangers, Combat, Combat Service, and Combat Service Support) and analysis of covariance was performed to determine the influence of age and gender. RESULTS Rangers performed the best on all performance and fitness measures (p < 0.05). Combat soldiers performed better than Combat Service and Service Support soldiers on several physical performance tests and the Army Physical Fitness Test (p < 0.05). Performance in Combat Service and Service Support soldiers was equivalent on most measures (p < 0.05). CONCLUSIONS Functional performance and level of fitness varied significantly by military unit type. Understanding these differences will provide a foundation for future injury prediction and prevention strategies.
The Open Body

In this paper we characterize the body as constitutively open. We fi rst consider the notion of bodily openness at the basic level of its organic constitution. This will provide us a framework relevant for the understanding of the body open to its intersubjective world. We argue that the notion of “bodily openness” captures a constitutive dimension of intersubjectivity. Generally speaking, there are two families of theories intending to characterize the constitutive relation between subjectivity and intersubjectivity: either the self is considered as (1) being constituted prior to, and as a condition of, its potential relation to the outside (intersubjective) world, or, contrastively, (2) the self is considered as being constituted as a result of its (intersubjective) relations with the outside world. Here, we pursue a conciliatory path, as we intend to show that these two positions are not necessarily in opposition to each other. But how can selfhood/subjectivity be both and at the same time primary and secondary, relative to otherness/ intersubjectivity? Stated thusly, the question seems to border on incoherence but our intention here is to reconsider it in a framework that allows for the dissolution of this opposition. In particular, we will characterize the relational autonomy of the self: neither fully enclosed “inside” nor fully dissolved in or determined by what’s “outside”, the bodily self is best characterized by its fundamental “openness”, which we will explore in a framework where autonomy and relationality are not contradictory but co-constitutive dimensions. In the fi rst section, we introduce the notions of “relational autonomy” and “openness” at the most basic level, i.e. the organic constitution of the body. We then specify the links we intend to tie between the organic and the intersubjective modes of being of the body. This then allows us to exploit the notions of “relational autonomy” and “openness” to better characterize bodily intersubjectivity. We conclude by considering the implication of our view for the understanding of the constitutive relation between subjectivity and intersubjectivity
High-NaCl Perception in Drosophila melanogaster

Salt is a fundamental nutrient that is required for many physiological processes, including electrolyte homeostasis and neuronal activity. In mammals and Drosophila, the detection of NaCl induces two different behaviors: low-salt concentrations provide an attractive stimulus, whereas high-salt concentrations are avoided. We identified the gene called serrano (sano) as being expressed in the sensory organs of Drosophila larvae. A transgenic reporter line showed that sano was coexpressed with Gr66a in a subset of gustatory neurons in the terminal organ of third-instar larvae. The disruption of sano gene expression in gustatory neurons led to the specific loss of high-salt concentration avoidance in larvae, whereas the detection of other attractive or aversive substances was unaffected. Moreover, using a cellular marker sensitive to calcium levels, Sano function was shown to be required for neuronal activity in response to high-salt concentrations. In these neurons, the loss of the DEG/ENaC channel PPK19 function also eliminated the cellular response to high-salt concentrations. Our study revealed that PPK19 and Sano are required in the neurons of the larval gustatory organs for the detection of high-salt concentrations.
Learning from Before and After Recovery to Detect Latent Misconfiguration

Preventing system failure in cloud has become more important as a result of the prevalence of cloud use for mission-critical applications. One of the major causes of system failure in clouds is misconfiguration, as shown in recent studies. Hence, it is essential first to detect misconfiguration before it causes outage or degradation of service. Although cloud provides us flexible and auto-configurable infrastructure for expeditious implementation of systems, this also provokes frequent changes and complexity of the implementation, and leads to difficulty in verifying its configuration. In this paper, we present a method to detect latent misconfigurations. Our method is designed on the basis of our misconfiguration categorizations which gives us the capability to choose detection tactics by misconfiguration pattern, so the administrator can diagnose with less knowledge of configuration details. By generalized preprocessing of configuration data in which configuration files are input as-is, our method does not limit its target to a specific type of component. This enables us to diagnose system-wide misconfiguration while system configuration is frequently changed. The results of our experiment show that misconfiguration of a single configuration parameter is detected with over 90% F-measure.
Oversampled A/D conversion of non-bandlimited signals with finite rate of innovation

We consider the problem of A/D conversion for non-bandlimited signals that have a finite rate of innovation, in particular, the class of a continuous periodic stream of Diracs, characterized by a set of time positions and weights. Previous research has only considered the sampling of these signals, ignoring quantization which is necessary for any practical application (e.g. UWB, CDMA). In order to achieve accuracy under quantization, we introduce two types of oversampling, namely, oversampling in frequency and oversampling in time. High accuracy is achieved by enforcing the reconstruction to satisfy either three convex sets of constraints related to (1) sampling kernel, (2) quantization and (3) periodic streams of Diracs, which is then said to provide strong consistency, or only the first two, providing weak consistency. We propose three reconstruction algorithms, the first two achieving weak consistency and the third one achieving strong consistency. For these three algorithms, respectively, the experimental MSE performance for time positions decreases as O(1/R/sub t//sup 2/ R/sub f//sup 3/), and O(1/R/sub t//sup 2/ R/sub f//sup 4/), where R/sub t/ and R/sub f/ are the oversampling ratios in time and in frequency, respectively. It is also proved theoretically that our reconstruction algorithms satisfying weak consistency achieve an MSE performance of at least O(1/R/sub t//sup 2/ R/sub f//sup 3/).
Precision measurements of the nucleon strange form factors at Q2 approximately 0.1 GeV2.

We report new measurements of the parity-violating asymmetry A(PV) in elastic scattering of 3 GeV electrons off hydrogen and 4He targets with approximately 6.0 degrees . The 4He result is A(PV)=(+6.40+/-0.23(stat)+/-0.12(syst))x10(-6). The hydrogen result is A(PV)=(-1.58+/-0.12(stat)+/-0.04(syst))x10(-6). These results significantly improve constraints on the electric and magnetic strange form factors G(E)(s) and G(M)(s). We extract G(E)(s)=0.002+/-0.014+/-0.007 at =0.077 GeV2, and G(E)(s)+0.09G(M)(s)=0.007+/-0.011+/-0.006 at =0.109 GeV2, providing new limits on the role of strange quarks in the nucleon charge and magnetization distributions.
Omic Data Modelling for Information Retrieval

This study aims at designing a data model managing the vast majority of omic data types, dedicated to information retrieval on two dimensional levels, single patient and multi-patients. The exploitation of scientic health research data, in the search for new biomedical applications, is a promising challenge. Data integration gen- erated by scientic research, particularly omics, with clinical data stored in the Electronic Health Record (EHR) can lead to signicant progress in the development of new diagnostic tests and therapies as well as improve our understanding of complex genetic diseases and cancers. Currently, a few solutions already exist such as i2b2 or Transmart. How- ever, they do not handle all main omic data types. Moreover, integrating omic analysis results in EHRs is today mandatory to help clinicians in decision making. This study proposes a generic omic data model dedicated to manag- ing main omic data types (expression data, DNA-methylation, variants, etc.), omic data representation, and information retrieval. Integrating omics data within clinical data involves: (i) identify the dif- ferent types of omic data, (ii) select relevant information in the context of integration with clinical data then (iii) design an eective omic data model. Four levels of data have been dened according to their level of interpre- tation. The second level representing interpreted data has been selected to build the data model. Various omic data types have been integrated into a database coupled to clinical data.
Track following control design for ODDs by employing repetitive two-degree-of-freedom control scheme

Radial track following of an optical disk drive (ODD) servomechanism is severely exposed to periodic disturbances induced by eccentric rotation of the disc. Such disturbances cause the tracking errors of a periodic nature and can be effectively rejected by employing a repetitive controller. In this paper, we propose a repetitive 2DOF control scheme for an ODD track-following servo system with uncertain plant parameters. The proposed repetitive controller is designed on the basis of the frequency domain analysis of the linear interval system and installed as a plug-in module in an existing track following servo system whose feedback compensator is designed independently of the repetitive controller. Simulative and experimental results showed that the proposed control scheme enables a significant improvement of the tracking accuracy of the radial servomechanism.
Jointly Identifying Temporal Relations with Markov Logic

Recent work on temporal relation identification has focused on three types of relations between events: temporal relations between an event and a time expression, between a pair of events and between an event and the document creation time. These types of relations have mostly been identified in isolation by event pairwise comparison. However, this approach neglects logical constraints between temporal relations of different types that we believe to be helpful. We therefore propose a Markov Logic model that jointly identifies relations of all three relation types simultaneously. By evaluating our model on the TempEval data we show that this approach leads to about 2% higher accuracy for all three types of relations ---and to the best results for the task when compared to those of other machine learning based systems.
Measurement invariance of the Illness Invalidation Inventory (3*I) across language, rheumatic disease and gender

Objectives The Illness Invalidation Inventory (3*I) assesses patients’ perception of responses of others that are perceived as denying, lecturing, not supporting and not acknowledging the condition of the patient. It includes two factors: ‘discounting’ and ‘lack of understanding’. In order to use the 3*I to compare and pool scores across groups and countries, the questionnaire must have measurement invariance; that is, it should measure identical concepts with the same factor structure across groups. The aim of this study was to examine measurement invariance of the 3*I across rheumatic diseases, gender and languages. Methods Participants with rheumatic disease from various countries completed an online study using the 3*I, which was presented in Dutch, English, French, German, Portuguese and Spanish; 6057 people with rheumatic diseases participated. Single and multiple group confirmatory factor analyses were used to test the factorial structure and measurement invariance of the 3*I with Mplus. Results The model with strong measurement invariance, that is, equal factor loadings and thresholds (distribution cut-points) across gender and rheumatic disease (fibromyalgia vs other rheumatic diseases) had the best fit estimates for the Dutch version, and good fit estimates across the six language versions. Conclusions The 3*I showed measurement invariance across gender, rheumatic disease and language. Therefore, it is appropriate to compare and pool scores of the 3*I across groups. Future research may use the questionnaire to examine antecedents and consequences of invalidation as well as the effect of treatments targeting invalidation.
Anti-tumorigenic and Pro-apoptotic effects of CKBM on gastric cancer growth in nude mice

Natural botanical products can be integrated with western medicine to optimize the treatment outcome, increase immune function and minimize the side effects from western drug treatment. CKBM is a combination of herbs and yeasts formulated based on traditional Chinese medicinal principles. Previous study has demonstrated that CKBM is capable of improving immune responsiveness through the induction of cytokine mediators, such as TNF-α and IL-6. In this study, we aimed to investigate the effect of this immunomodulatory drug on gastric cancer growth using a human xenograft model. Gastric cancer tissues were implanted subcutaneously into athymic nude mice followed by a 14-day or 28-day of CKBM treatment. Results showed that higher doses of CKBM (0.4 or 0.8 ml/mouse/day) produced a dose-dependent inhibitory effect on gastric tumor growth after 28-day drug treatment. This was associated with a decrease of cellular proliferation by 30% with concomitant increase in apoptosis by 97% in gastric tumor cells when compared with the control group. In contrast, CKBM showed no effect on angiogenesis in gastric tumors. This study demonstrates the anti-tumorigenic action of CKBM on gastric cancer probably via inhibition of cell proliferation and induction of apoptosis, and provides future potential targets of this drug candidate on cancer therapy.
Abstract 1515: Epigenetic silencing of retinoblastoma gene regulates pathologic differentiation of myeloid cells in cancer.

Proceedings: AACR 104th Annual Meeting 2013; Apr 6-10, 2013; Washington, DC Myeloid-derived suppressor cells (MDSC) are one of the major factors negatively regulating immune responses in cancer and many other pathologic conditions. These cells consist of two distinct populations: monocytic MDSC (M-MDSC) and polymorphonuclear MDSC (PMN-MDSC). PMN-MDSC is the predominant group of MDSC accumulated in cancer. Under physiologic conditions, the normal counterpart of M-MDSC - Ly6ChiLy6G- inflammatory monocytes (Mon) differentiate in periphery tissues to macrophages (MΦ) and dendritic cells (DCs). In contrast, a large proportion of M-MDSC, in tumor-bearing mice, acquired phenotypic, morphological and functional features of PMN-MDSC. In human, CD14+HLA-DR-/low M-MDSC from patients with multiple myeloma also differentiated into CD66b+ PMN-MDSC. This effect was caused by soluble tumor-derived factors and mediated by transcriptional silencing of the retinoblastoma (Rb) gene. M-MDSC had an amount of Rb1 similar to that in mature myeloid cells (PMN, DCs) while Rb1 was barely detectable in PMN-MDSC. Lack of Rb1 in mice with conditional deletion of the gene promoted an expansion of splenic CD11b+Ly6G+Ly6Clo cells, similar to the phenotype of PMN-MDSC in tumor-bearing mice. Moreover, immunogeneic EG7 tumor grew much faster in Rb1-KO mice than in Rb1-WT littermates. Mon from Rb1-KO mice acquired significantly increased proportion of PMN after in vitro culture compared to Rb1-WT Mon. In contrast, the overexpression of Rb1 substantially reduced the proportion of PMN-MDSC differentiated from M-MDSC. Histone deacetylase 2 (HDAC-2) was directly involved in down-regulation of Rb1 expression. Inhibition of HDAC in MDSC resulted in the increase in their Rb1 expression, abrogated differentiation of M-MDSC to PMN-MDSC, and restored M-MDSC differentiation towards DCs and MΦ. These results suggest that down-regulation of Rb by epigenetic modification plays a major role in accumulation of MDSC in cancer by regulating PMN-MDSC differentiation from M-MDSC. HDAC may be considered as potential targets for therapeutic regulation of MDSC in cancer. Citation Format: Je-In Youn, Vinit Kumar, Michelle Collazo, Dmitry I. Gabrilovich. Epigenetic silencing of retinoblastoma gene regulates pathologic differentiation of myeloid cells in cancer. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 1515. doi:10.1158/1538-7445.AM2013-1515 Note: This abstract was not presented at the AACR Annual Meeting 2013 because the presenter was unable to attend.
Increased resting energy expenditure by fat-free mass in children and teenagers with constitutional leanness.

BACKGROUND/OBJECTIVES To compare the resting energy expenditure (REE) and the REE/Fat-free-mass (FFM) quotient in children with constitutional leanness (CL) and children with normal body weight, and to describe the within-family clustering of CL. SUBJECTS/METHODS We have studied 18 children and teenagers with CL, 10 girls and 8 boys, and 18 gender and age matched normal controls, with the same pubertal stage. All were recruited from the outpatient pediatric clinic nutrition unit. None of the children with CL showed symptoms of chronic illness, they had normal laboratory results, they had a normal caloric food intake, and they did not agree with the DSM-IV-TR criteria for anorexia nervosa. We describe the body mass index (BMI) of children and their parents. The children were classified according to Cole's recently published BMI cut-offs for thinness: under 18.5 points in CL group, stable at least in the last year, and between 18.5 and 25 cutt-offs in the control group. The body composition was calculated by anthropometric methods (skinfold thickness measurements). In addition REE was measured using fasting indirect calorimetry. RESULTS The CL group had a higher mean percentage of FFM, and a mean FM significantly less, relative to controls (p < 0.001). The average absolute REE was significantly lower in the CL group (1,106.55 ± 240.72 kcal) than the control group (1,353.33 ± 270.01 kcal/dia) (p < 0.01). However, the REE adjusted for FFM showed a mean significantly greater in the CL group (41.39 ± 2.26 kcal/kg FFM) (Mean confidence interval (CI) 95 %: 40.33-42.45) than the controls (37.37 ± 3.06 kcal/kg FFM) (Mean CI 95 %: 35.93-38.81) (p < 0.001). Finally, in the family study, the mean BMI of fathers of CL group was significantly lower (p < 0.01), but there were not any differences in the mean BMI of mothers. Among parents with BMI known, 8 of 35 parents of CL group had an BMI lower 18.5, and only 2 of 36 parents in the control group (p < 0.05). CONCLUSIONS This increased energy expenditure-to-FFM ratio differentiates between CL and controls. These metabolic differences are probably genetically determined.