Miracle-dz/UniFAR-FTUs huggingface dataset:
Correlations between selected fatness indices and total body fat estimated by means of the impedance method

The aim of the present work was the evaluation of measures of total body fat and distribution of adipose tissue, including the new conicity index, and their correlation with total body fat (in kg and %) estimated by means of the impedance method. Moreover, attention was paid to the bilateral differentiation of fat distribution. The basis for the analyses and comparisons was a group of 186 females of various age. Using cluster analysis and factor analysis for fatness measures, it was shown that the measures under study form two distinctly separate groups referring to different aspects of fatness: total body fat, and adipose tissue distribution.
Parallel Addressing Scheme for Voltage-Programmed Active-Matrix OLED Displays

This paper presents a novel parallel addressing scheme for voltage-programmed active-matrix organic light-emitting diode (OLED) displays which provides high precision recovery of the threshold voltage shift. As a result, the uniformity over the panel is significantly improved. In addition, a new pixel circuit is presented that is capable of providing a predictably higher current as the pixel ages, so as to compensate for the OLED luminance degradation
A real-time LIDAR and vision based pedestrian detection system for unmanned ground vehicles

In this work, we present a real-time pedestrian detection system using LIDAR and Vision in-vehicle. We get regions of interest by clustering lidar point clouds and project them onto the images. After that we use black mask to replace those image areas which has no lidar points projected onto. Then we extract HOG and lidar point clouds features and use those features to detect pedestrians by a linear SVM classifier. The main contributions are that we proposed a method that can select ROIs on image automatically and then enhanced the HOG descriptor with the lidar points' projections. Finally we fuse HOG and lidar based features to train a linear SVM to detect pedestrian. The above method we proposed can satisfy real-time requirement. We apply our pedestrian detection system to our own dataset and KITTI dataset, and show that we outperform the primitive HOG based methods.
Is There an Association Between Clinical Presentation and the Location and Extent of Myocardial Involvement of Cardiac Sarcoidosis as Assessed by 18F- Fluorodoexyglucose Positron Emission Tomography?

Background— Positron emission tomography using 18F-Fluorodeoxyglucose (FDG) is an emerging modality for diagnosis of cardiac sarcoidosis (CS). We compared the location and degree of FDG uptake in CS patients presenting with either advanced atrioventricular block (AVB) or ventricular tachycardia (VT). Methods and Results— We included consecutive patients who presented with either AVB or VT with a diagnosis of CS. A cohort of patients with clinically silent CS was included as controls. FDG activity was quantified as standardized uptake values (SUV) and both the overall mean left ventricular (LV) SUV as well as the Maximum Mean Segmental SUV was recorded for each patient. Receiver operator characteristic (ROC) analysis was performed to identify cutoff SUV values that best identified patients with VT. A total of 27 patients with CS were included (13 females; mean age, 56±8 years; 8 VT, 12 AVB, and 7 controls). Both mean LV SUV and Max SUV in CS patients presenting with VT were significantly higher compared with those with AVB (mean SUV: VT median 5.33, range 4.7–9.35 versus AVB median 2.48, range 0.86–8.59, P=0.016; max SUV: VT median 11.07, range 9.24–14.4 versus AVB median 5.63, range 3.42–15.71, P=0.005) and compared with controls. There was no significant difference in SUV values between AVB patients and controls. ROC analysis for identification of patients with VT showed AUCs of 0.93 and 0.895 for a mean LV SUV of >3.42 and a max SUV >8.56, respectively (P<0.001). Conclusions— CS patients with VT displayed significantly higher FDG uptake when compared with those with AVB and asymptomatic controls. Further prospective studies are required to evaluate this finding.
Index Generation Functions: Minimization Methods

Incompletely specified index generation functions can often be represented with fewer variables than original functions by appropriately assigning values to don't cares. The number of variables can be further reduced by using a linear transformation to the input variables. Minimization of variables under such conditions was considered to be a very hard problem. This paper surveys minimization methods for index generation functions. Major topics include 1) An upper bound on the number of variables to represent index generation functions,2) A heuristic minimization method using an ambiguity measure,3) A heuristic minimization method using remainders of a polynomial on GF(2),4) An exact minimization method using a SAT solver, and 5) Comparison of minimization methods.
Clonal Genotype of Geomyces destructans among Bats with White Nose Syndrome, New York, USA

The dispersal mechanism of Geomyces destructans, which causes geomycosis (white nose syndrome) in hibernating bats, remains unknown. Multiple gene genealogic analyses were conducted on 16 fungal isolates from diverse sites in New York State during 2008–2010. The results are consistent with the clonal dispersal of a single G. destructans genotype.
The Use of a Rapid D-dimer Blood Test in the Diagnostic Workup for Pulmonary Embolism: A Management Study

Summary Background. D-dimer assays have a potential to rule out pulmonary embolism in case of a normal test result. We studied the clinical utility of incorporating the SimpliRED D-dimer test result and clinical probability in the routine diagnostic work-up of patients with suspected acute pulmonary embolism. Methods. In a prospective management study 245 consecutive patients, hospitalised as well as outpatients, were included. A SimpliRED D-dimer test and perfusion/(ventilation) scintigraphy were obtained in all patients, whereas clinical probability was determined in the subgroup of patients with a non-diagnostic scan and normal D-dimer result. A diagnostic algorithm determined the necessity for further testing and decisions about treatment. All patients were followed up for 3 months. Results. In 54 patients (22%) with a normal lung scan and 50 patients (21%) with a high probability lung scan, antithrombotic therapy was withheld or started respectively, irrespective of the D-dimer result. A non-diagnostic lung scan was found in 137 (56%) patients, of whom 70 patients had an abnormal D-dimer test, in whom further testing was ordered. Of the remaining 67 patients with a non-diagnostic lung scan and normal D-dimer test 8 patients had a high clinical probability, and the subsequent ultrasonography and pulmonary angiography yielded pulmonary emboli in 1 patient. In the remaining 66 patients, pulmonary embolism was considered to be absent and antithrombotic treatment was stopped/withheld. During follow-up of these patients only one patient experienced a possible venous thromboembolic event (failure rate 1,5% ; 95% CI 0-8%). The SimpliRED D-dimer was normal in 6 of 61 patients with proven pulmonary embolism (sensitivity 90% ; 95% CI 80-96%). Conclusion. Our findings suggest that it is safe to withhold anticoagulant therapy in those patients with a non-diagnostic lung scan, a normal SimpliRED D-dimer test result, and without a high clinical probability. This results in a substantial decreased need for ultrasonography and pulmonary angiography. The SimpliRED should not be used in isolation to exclude pulmonary embolism.
The influence of teacher emotion on grading practices: a preliminary look at the evaluation of student writing

The evaluation of student work is a central aspect of the teaching profession that can affect students in significant ways. Although teachers use multiple criteria for assessing student work, it is not yet known if emotions are a factor in their grading decisions as has been found in other instances of professional evaluations. Reason to believe that this might be the case not only comes from emotion-congruent judgment research, but also from the emerging field of teacher emotion research which is beginning to reveal that emotion may be an important element in various teacher cognitions and practices. The present study provides initial evidence that emotions may bias the grades teachers assign to their students, such that positive and negative emotions influence grade assignment in emotion-congruent ways. This research offers empirical contributions to research on emotion and cognition as well as on teacher emotion.
Reconstruction of data type in obfuscated binary programs

Recently, research community has advanced in type reconstruction technology for reverse engineering, but emerging with obfuscate technology, data type reconstruction is difficult and obfuscated code is easier to be monitored and analyzed by attacker or hacker. Therefore, we present a novel approach for automatic establish data type inference rules and reconstruct type from obfuscated binary programs using machine learning algorithm.
A Novel Power Supply System Based on a Packet Exchange Network Architecture

In this paper, we have proposed a new type of power supply system that uses a single pair of wires to provide various specifications of electric power. The IEEE 802.3af (a.k.a. Power over Ethernet) [6] is a technology that can transmit electricity over Unshielded Twisted Pair cables, however, this technology provides only 48 V DC and does not provide any networking functions. In contrast, our system abstracts electric power into packets and uses a network protocol to transmit them appropriately. We have designed our system to be flexible and extensible. Our motivation is to build a large- scale power supply network similar to the Internet. Hence, we have developed our MAC layer protocol on the basis of the Ethernet protocol which has strong affinity with Internet Protocol.
Method for evaluating bow tie filter angle-dependent attenuation in CT: theory and simulation results.

PURPOSE Dosimetry in computed tomography (CT) is increasingly based on Monte Carlo studies that define the dose in the patient (in mGy) as a function of air kerma (free in air) at isocenter (mGy). The accuracy of Monte Carlo studies depends in part on the accuracy of the characterization of the bow tie filter for a given CT scanner model. A simple method for characterizing the bow tie filter attenuation profile in CT scanners would therefore be very useful. The theory behind such a method is proposed. METHODS A measurement protocol is discussed mathematically and demonstrated using computer simulation. The proposed method requires the placement of a radiation monitor at the periphery of the CT field, and the time domain signal (kerma rate versus time) is measured with good temporal resolution (-200 Hz or better) and with all other objects (e.g., patient couch) retracted from the field of view. Knowledge of the source to isocenter distance (or alternately, the isocenter to probe distance) is required. The stationary detector records the kerma rate versus time signal as the gantry rotates through several revolutions. From this temporal data, signal processing techniques are used to extract in-phase peaks, as well as out-of-phase kerma rate levels. From these data, the distance from isocenter to the probe can be determined (or, alternatively, the source to isocenter distance), and the angle-dependent bow tie filter attenuation can be computed. By measuring the angle-dependent bow tie filter attenuation at several kVp settings, the bow tie composition versus fan angle can be computed using basis decomposition techniques. RESULTS The simulations illustrated that with 2% added noise in the kerma rate versus time signal, the attenuation properties of a hypothetical two component (aluminum and polymethyl methacrylate) bow tie filter could be determined (r2 > 0.99). Although the computed basis material thicknesses were not exactly equal to the actual thicknesses, their combined attenuation factors matched that of the actual filter across kVp's to within an average of 0.057%. CONCLUSIONS It is concluded that the proposed method may provide a simple noninvasive approach to characterizing the performance of bow tie filters in CT systems; however, experimental validation is necessary.
Behavioral Development of Captive Male Hybrid Cercopithecine Monkeys

In this study, we compare the behavioral development of captive male vervet monkeys (Chlorocebus pygerythrus) and Sykes’ monkeys (Cercopithecus albogularis) to male hybrids of these species. Focal animal sampling sessions were conducted on the study subjects from birth to 90 months of age. Behavioral categories (affiliative, approach, play, sexual, tension, aggressive) were plotted for each species and the hybrids; curves were fitted using polynomial regression and were evaluated with the Wilcoxon signed ranks test. With the exception of play behaviors, the male C. pygerythrus × C. albogularis hybrids modeled the Sykes’ pattern of behavioral development. We suggest that this result reflects a sex-linked paternal effect.
Constrained Submodular Minimization for Missing Labels and Class Imbalance in Multi-label Learning

In multi-label learning, there are two main challenges: missing labels and class imbalance (CIB). The former assumes that only a partial set of labels are provided for each training instance while other labels are missing. CIB is observed from two perspectives: first, the number of negative labels of each instance is much larger than its positive labels; second, the rate of positive instances (i.e. the number of positive instances divided by the total number of instances) of different classes are significantly different. Both missing labels and CIB lead to significant performance degradation. In this work, we propose a new method to handle these two challenges simultaneously. We formulate the problem as a constrained submodular minimization that is composed of a submodular objective function that encourages label consistency and smoothness, as well as, class cardinality bound constraints to handle class imbalance. We further present a convex approximation based on the Lovasz extension of submodular functions, leading to a linear program, which can be efficiently solved by the alternative direction method of multipliers (ADMM). Experimental results on several benchmark datasets demonstrate the improved performance of our method over several state-of-the-art methods.
Mental Health Risk Adjustment with Clinical Categories and Machine Learning

OBJECTIVE To propose nonparametric ensemble machine learning for mental health and substance use disorders (MHSUD) spending risk adjustment formulas, including considering Clinical Classification Software (CCS) categories as diagnostic covariates over the commonly used Hierarchical Condition Category (HCC) system. DATA SOURCES 2012-2013 Truven MarketScan database. STUDY DESIGN We implement 21 algorithms to predict MHSUD spending, as well as a weighted combination of these algorithms called super learning. The algorithm collection included seven unique algorithms that were supplied with three differing sets of MHSUD-related predictors alongside demographic covariates: HCC, CCS, and HCC + CCS diagnostic variables. Performance was evaluated based on cross-validated R2 and predictive ratios. PRINCIPAL FINDINGS Results show that super learning had the best performance based on both metrics. The top single algorithm was random forests, which improved on ordinary least squares regression by 10 percent with respect to relative efficiency. CCS categories-based formulas were generally more predictive of MHSUD spending compared to HCC-based formulas. CONCLUSIONS Literature supports the potential benefit of implementing a separate MHSUD spending risk adjustment formula. Our results suggest there is an incentive to explore machine learning for MHSUD-specific risk adjustment, as well as considering CCS categories over HCCs.
Robust Detection of AO and IM Points in the Seismocardiogram Using CWT

The seismocardiogram (SCG) records the mechanical vibrations resulting from cardiac movements, and it is acquired on the chest. The SCG is a non-invasive and inexpensive technique for monitoring cardiac activity. This paper propose a new method to detect the points associated with the opening of the aortic valve (AO) and isovolumic moment (IM) at the SCG, without using the reference of electrocardiogram (ECG) signal. This method uses continuous wavelet transform (CWT) as a base and a decision rule as a first approximation, followed by a fine position detection points. The performance achieved by the detector is 99% of sensitivity, and error less than 3%. Detector performance was evaluated for several wavelets, and the best results were obtained with the Daubechies wavelet of order 4. Finally, it was evaluated robustness to noise with good results. The simplicity of the proposed method allows a starting point to segment the SCG and reliable use for monitoring elderly people at home.
New approach for nanoindentation using multiprobe AFM system

In nanoindentation, the accuracy of obtained data is highly depended on the limitations of the system that the measurements are performed with. In this paper for the first time in the literature, we present a new nanoindentation approach with a system that eliminates the major problems encountered with standard AFM or nanoindentation systems. We present the superior properties of our system and also discuss the current issues with standard systems. The end goal of this research work is to utilize the new approach for accurate mechanical characterization of soft materials which will be used in biological cell mechanics applications.
Publisher pdf eulerForce: Force-directed layout for Euler diagrams

Euler diagrams use closed curves to represent sets and their relationships. They facilitate set analysis, as humans tend to perceive distinct regions when closed curves are drawn on a plane. However, current automatic methods often produce diagrams with irregular, nonsmooth curves that are not easily distinguishable. Other methods restrict the shape of the curve to for instance a circle, but such methods cannot draw an Euler diagramwith exactly the required curve intersections for any set relations. In this paper, we present eulerForce, as the first method to adopt a force-directed approach to improve the layout and the curves of Euler diagrams generated by current methods. The layouts are improved in quick time. Our evaluation of eulerForce indicates the benefits of a force-directed approach to generate comprehensible Euler diagrams for any set relations in relatively fast time. & 2014 Elsevier Ltd. All rights reserved.
Virally Induced Cellular MicroRNA miR-155 Plays a Key Role in B-Cell Immortalization by Epstein-Barr Virus

ABSTRACT Infection of resting primary human B cells by Epstein-Barr virus (EBV) results in their transformation into indefinitely proliferating lymphoblastoid cell lines (LCLs). LCL formation serves as a model for lymphomagenesis, and LCLs are phenotypically similar to EBV-positive diffuse large B-cell lymphomas (DLBCLs), which represent a common AIDS-associated malignancy. B-cell infection by EBV induces the expression of several cellular microRNAs (miRNAs), most notably miR-155, which is overexpressed in many tumors and can induce B-cell lymphomas when overexpressed in animals. Here, we demonstrate that miR-155 is the most highly expressed miRNA in LCLs and that the selective inhibition of miR-155 function specifically inhibits the growth of both LCLs and the DLBCL cell line IBL-1. Cells lacking miR-155 are inefficient in progressing through S phase and spontaneously undergo apoptosis. In contrast, three other B-cell lymphoma lines, including two EBV-positive Burkitt's lymphoma cell lines, grew normally in the absence of miR-155 function. These data identify the induction of cellular miR-155 expression by EBV as critical for the growth of both laboratory-generated LCLs and naturally occurring DLBCLs and suggest that targeted inhibition of miR-155 function could represent a novel approach to the treatment of DLBCL in vivo.
Numeral Systems of the Awyu Language Family of Irian Jaya

L'etude des systemes numeriques de la famille linguistique awyu d'Irian Jaya en Nouvelle Guinee montre des differences entre les Kombai, les Korowai et les Wambon qui utilisent un systeme entierement fonde sur corps, les Mandobo qui ont un systeme melangeant le systeme binaire et le systeme prenant en compte les membres corporels, et les Aghu, les Sjiagha-Yenimu et les Pisa qui se servent de leurs mains et de leurs pieds pour compter. Les langues awyu different dans l'integration morpho-syntactique des systemes numeriques
The bHLH genes GLABRA3 (GL3) andENHANCER OF GLABRA3 (EGL3) specify epidermal cell fate in the Arabidopsis root

The position-dependent specification of the hair and non-hair cell types in the Arabidopsis root epidermis provides a simple model for the study of cell fate determination in plants. Several putative transcriptional regulators are known to influence this cell fate decision. Indirect evidence from studies with the maize R gene has been used to suggest that a bHLH transcription factor also participates in this process. We show that two Arabidopsis genes encoding bHLH proteins, GLABRA3 (GL3) and ENHANCER OF GLABRA3 (EGL3), act in a partially redundant manner to specify root epidermal cell fates. Plants homozygous for mutations in both genes fail to specify the non-hair cell type, whereas plants overexpressing either gene produce ectopic non-hair cells. We also find that these genes are required for appropriate transcription of the non-hair specification gene GL2 and the hair cell specification gene CPC, showing that GL3 and EGL3 influence both epidermal cell fates. Furthermore, we show that these bHLH proteins require a functional WER MYB protein for their action, and they physically interact with WER and CPC in the yeast two-hybrid assay. These results suggest a model in which GL3 and EGL3 act together with WER in the N cell position to promote the non-hair cell fate, whereas they interact with the incomplete MYB protein CPC in the H position, which blocks the non-hair pathway and leads to the hair cell fate.
Multiple uses for Australian backed artefacts

Abstract Backed artefacts, otherwise microliths or backed bladelets, are key indicators of cultural practice in early Australia – but what were they used for? The authors review a number of favourite ideas – hunting, scarification, wood working – and then apply use-wear analysis and residue studies to three prehistoric assemblages. These showed contact with a wide range of materials: wood, plants, bone, blood, skin and feathers. These results are unequivocal – the backed artefacts were hafted and employed as versatile tools with many functions.
Investigation of Si IGBT operation at 200 °C for traction application

In order to satisfy the high density requirement and harsh thermal conditions in future hybrid vehicles, a systematic study of Si IGBT operating at 200 °C is performed to determine its feasibility, issues and application guideline. First, the device forward conduction characteristics, leakage current, and switching performance at various temperatures are evaluated through both analytical and lab evaluation. Based on the device characterization, the loss and thermal study is then performed, which provides the guideline for packaging and cooling design. Finally, the possible failure mechanisms at high temperatures including latching and short circuit fault have been tested to ensure the safe and reliable operation of Si IGBTs.