Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessing Electronic Capture of Patient Reported Outcomes in Prostate Cancer Populations

Leslie D. McIntosh, PhD, MPH, Anand Mohapatra, MD*, Marshall Strother, MD, Goutham Vemana, MD, Alethea Paradis, MTS, Kerry Madison, BS, Anthony Juehne, BA, Arnold D. Bullock, MD, Gerald L. Andriole, MD Center for Biomedical Informatics, Washington University in St. Louis, School of Medicine, St. Louis, MO 63110; Department of Urology, University of Pittsburgh Medical Center, Pittsburgh, PA 15213; Division of Urology, Perelman School of Medicine, Philadelphia, PA 19104; Urology Associates of Houston, Houston, TX 77089; Division of Urologic Surgery, Washington University in St. Louis, School of Medicine, St. Louis, MO 63110 *Not a receipient of a research scholarship Corresponding Author: andy.mohapatra@gmail.com Note: This research was presented as a poster at the 2013 Annual Meeting of the American Urologic Association under the title ‘‘Assessing the Feasibility of Electronic Data Collection for Men with Prostate Cancer’’.
Determinants of Structural Change in Food Exports from Developing Countries

Over the past three decades, there has been a rapid expansion of processed food exports, replacing traditional agriculture exports such as coffee and tea. However, this development and its policy implications have received little attention in the literature. This paper provides an overview of key characteristics and growth patterns of processed food exports in developing countries. The determinants of structural change towards processed food exports in developing countries are examined using panel data econometric analysis. The results suggest that trade policy openness, large domestic markets, good macroeconomic management-especially in terms of price stability-adequate financial support and infrastructure are the key factors influencing the shift towards processed food exports. Copyright © 2009 The Authors. Journal compilation © 2009 Crawford School of Economics and Government, The Australian National University and Blackwell Publishing Asia Pty Ltd.
Chemistry of oxylipin pathways in marine diatoms

Abstract Oxylipins are important signal transduction molecules widely distributed in animals and plants where they regulate a variety of events associated with physiological and pathological processes. The family embraces several different metabolites that share a common origin from the oxygenase-catalyzed oxidation of polyunsaturated fatty acids. The biological role of these compounds has been especially studied in mammalians and higher plants, although a varied and very high concentration of these products has also been reported from marine macroalgae. This article gives a summary of our results concerning the oxylipin chemistry of marine diatoms, a major class of planktonic microalgae that discourage predation from their natural grazers, zooplanktonic copepods, using chemical warfare. These apparently harmless microscopic cells produce a plethora of oxylipins, including short-chain unsaturated aldehydes, hydroxyl-, keto-, and epoxyhydroxy fatty acid derivatives, that induce reproductive failure in copepods through abortions, congenital malformations, and reduced larval growth. The biochemical process involved in the production of these compounds shows a simple regulation based on decompartmentation and mixing of preexisting enzymes and requires hydrolysis of chloroplast-derived glycolipids to feed the downstream activities of C16 and C20 lipoxygenases.
THE CRYSTAL STRUCTURE OF BASIC CANCRINITE

The crystal structure of basic (hydroxyl) cancrinite, Na6[Al6Si6O2al(OH;r.2.311r6, has been refined to a R value of 0.047 for 870 unique observed reflections in space group P63 using single-crystal X-ray-diffraction data. The Al and Si atoms of the aluminosilicate framework are fully ordered, as in other cancrinite-group minerals. Each cage contains one [Na.H2O]+ cluster. The Na2 sites in the channels are fully occupied by Na atoms. The OH group and remaining H2O also occur in the channels. The fremework atoms, the [Na.H2O]+ clusters, and the Na2 sites do not directly contribute to the superstructure in basic cancrinite. The superstructure arises from long-range order of OHions and H2O molecules and vacancies associated with these in the channels. The ideal formula for basic cancrinite is NaslAl6Si6O2al(OH)r.311r9.
Delay of flowering by high temperature in chrysanthemum: heat-sensitive time-of-day and heat effects on CsFTL3 and CsAFT gene expression

Summary High temperature-induced delay of flowering is a major problem during the production of short-day (SD) plants such as Chrysanthemum.We have investigated the heat-sensitive hours for flowering in C. seticuspe. Heat treatment at 30°C was applied for 16, 8, or 4 h d-1, at different times of the day, under SD conditions (8 h photoperiod from 08.00 - 16.00 h), using 20°C as the optimum temperature. Heating between midnight and dawn (00.00 - 08.00 h) delayed floral initiation for up to 2 d, but delayed flowering for > 25 d, which represented the heat-sensitive hours for capitulum development. Heating during this period suppressed expression of the FLOWERING LOCUS T-like3 (CsFTL3) gene, a promoter of flowering induced in leaves by SDs. However, expression of CsFTL3 was higher compared to non-floralinductive photoperiods with a night-break. The anti-florigenic FT/TFL1 family protein gene (CsAFT) is an inhibitor of flowering induced in leaves by long-days. Expression of CsAFT remained low during heating under SDs, even when the plants flowered late. Our results show that high temperatures had little effect on floral initiation, which required suppression of CsAFT and a slight induction of CsFTL3 gene expression under SDs. In contrast, a high temperature between 00.00 - 08.00 h appeared to delay flowering by decreasing the level of expression of CsFTL3 required for capitulum development.
Wind tunnel tests with combined pitch and free-floating flap control: data-driven iterative feedforward controller tuning

Wind turbine load alleviation has traditionally been addressed in the literature using either full-span pitch control, which has limited bandwidth, or trailing-edge flap control, which typically shows low control authority due to actuation constraints. This paper combines both methods and demonstrates the feasibility and advantages of such a combined control strategy on a scaled prototype in a series of wind tunnel tests. The pitchable blades of the test turbine are instrumented with free-floating flaps close to the tip, designed such that they aerodynamically magnify the low stroke of high-bandwidth actuators. The additional degree of freedom leads to aeroelastic coupling with the blade flexible modes. The inertia of the flaps was tuned such that instability occurs just beyond the operational envelope of the wind turbine; the system can however be stabilised using collocated closed-loop control. A feedforward controller is shown to be capable of significant reduction of the deterministic loads of the turbine. Iterative feedforward tuning, in combination with a stabilising feedback controller, is used to optimise the controller online in an automated manner, to maximise load reduction. Since the system is non-linear, the controller gains vary with wind speed; this paper also shows that iterative feedforward tuning is capable of generating the optimal gain schedule online.
Face Recognition Using Eigenfaces: Effect of the Different SVM Core Functions

This study has been established based on the combination of the Principal Component Analysis, eigenface a nd the support vector machines. Due to the categorization of pictures into two training and test pictures sectionsby using algorithm analysis of Principal Component, the feature extraction is achieved in this study. The extracted training and test pictures feature vectors is entered into the feature vector for categorization. In order to evaluate the test pictures, the ORL database has been applied in this study. The obtained results of these test pictures showed that if we want to consider only the increas e of the system recovery, the MLP core function will be only suitable response in this regard but if the both rate and number parameters are considered, the face recovery system with the radial function will be applied due to its better functions and perfo rmance than other core functions.
Calibration of the P 300 BCI with the Single-Stimulus Protocol

For successful calibration of a P300 based brain-computer interface the user should not attend non-target stimuli. However, non-target stimuli automatically draw user’s attention. To overcome this problem, we propose the use of the single-stimulus paradigm for calibration, at least in fresh users. In this simple paradigm targets are presented in absence of non-targets. In the current study classifiers were trained on recordings made with either the singlestimulus protocol or with the usual P300 BCI protocol in the same participants, and applied online to detect an attended cell in a 3x3 matrix. Similar accuracy was observed for the new and the standard classifiers. This result are promising, as the single-stimulus paradigm should be easily understandable even without any previous BCI experience.
New Sensing System Based on Electromagnetic Waves and Functionalised EM Sensors for Continuous Monitoring of Zn in Freshwater

Toxic metals are a signi cant cause for concern, considering freshwater the major route of their transport even far from point and di use sources. ¬ is paper presents a novel combined method using electrical measurements and microwave spectroscopy based on functionalised electromagnetic (f-EM) sensors. ¬ ick lms based on -Bi2O3 were screen-printed on planar sensors for monitoring continuously Zn concentrations in water. Results demonstrate the capability of this novel sensing system to measure in real-time Zn concentrations, especially in the range 0-1 mg/L and consequently the possibility to detect an unexpected pollution event, which can generate an increase of Zn in water.
Approximate Multimedia Transform for Real Time Applications

This paper aims to develop a highly novel framework to systematically trade-off computational complexity with output distortion, in linear multimedia transforms, in an optimal manner. The problem is important since in practical real-time systems, the computational resources available to the algorithm changes with time. The problem is difficult since the output distortion is signal dependent making dynamic transform adaptation in a systematic manner, hard. We solve the problem by developing an approximate transform framework. There are three key contributions of this paper – (a) a polynomial approximation framework that decouples the system from the particular signal, (b) existence results and estimates for a convex complexity-distortion curve and (c) dynamic adaptation of the algorithm to changes in computational resources. We have applied this approach on the FFT, since it is widely used in multimedia and fundamental to many algorithms. We have obtained a 3~5 times speed-up on the FFT with excellent results.
The establishment of a protein degradability data base for dairy cattle using the nylon bag technique. 1. Protein sources

The protein degradability of various South African ruminant feed protein sources was determined in the rumen of cannulated lactating dairy cattle. The effective protein degradability was calculated at different fractional outflow rates, using the nylon bag technique. The degradability values ranged from 96,2; 91,9 and 88,7% for whole sunflower seeds to 32,2; 25,1 and 23,0% for blood meal at fractional outflow rates of 0,02; 0,05 and 0,08/ h, indicating a large variation in the resistance of protein sources to ruminal breakdown. It is proposed that when protein sources are bought they should be evaluated on their rumen undegradable protein (UDP) content rather than crude protein content, as this would reflect the true nutritional value of a protein source more accurately.
Leveraging Convolutional Pose Machines for Fast and Accurate Head Pose Estimation

We propose a head pose estimation framework that leverages on a recent keypoint detection model. More specifically, we apply the convolutional pose machines (CPMs) to input images, extract different types of facial keypoint features capturing appearance information and keypoint relationships, and train multilayer perceptrons (MLPs) and convolutional neural networks (CNNs) for head pose estimation. The benefit of leveraging on the CPMs (which we apply anyway for other purposes like tracking) is that we can design highly efficient models for practical usage. We evaluate our approach on the Annotated Facial Landmarks in the Wild (AFLW) dataset and achieve competitive results with the state-of-the-art.
First Report of the blaOXA-23 Gene in a Clinical Isolates of Acinetobacter baumannii in Najaf Hospitals-Iraq

Carbapenemase producing Acinetobacter baumannii is frequently associated with nosocomial infections. Increasing resistance to carbapenems, may significantly reduce the choice of effective antibiotics. This study was conducted to determine the occurrence of carbapenemase producing A. baumannii isolates obtained from Najaf hospitals. Isolates were identified according to API 20NE system and more confirmed using 16Sr RNA gene. Carbapenem susceptibility was assayed by microbroth dilution and other antibiotics using disks diffusion test. Phenotypic detection of carbapenemase was performed using the imipenem-EDTA disk and modified Hodg tests. Then isolates were subjected to monoplex PCR targeting blaOXA-23, blaIMP and blaVIM genes. Twelve (1.5.%) A. baumannii isolates were recovered from clinical infections. Five (41.6%) of isolates were found to be imipenem and meropenem resistant (MIC ranged 128-256 μg mLG), of which, 4 (66.6%) gave positive result with the imipenem-EDTA disk and modified Hodg test. PCR experiments showed only two (33.3%) isolates were harbored blaOXA-23 gene. The present findings suggest that emergence of OXA-23 carbapenemase-producing A. baumannii clinical isolates in Najaf hospitals.
Herschel SPIRE and PACS observations of the red supergiant VY CMa: analysis of the molecular line spectra

We present an analysis of the far-infrared and submillimetre molecular emission-line spectrum of the luminous M-supergiant VY CMa, observed with the Spectral and Photometric Imaging Receiver (SPIRE) and Photodetector Array Camera and Spectrometer for Herschel spectrometers aboard the Herschel Space Observatory. Over 260 emission lines were detected in the 190–650 μm SPIRE Fourier Transform Spectrometer spectra, with one-third of the observed lines being attributable to H2O. Other detected species include CO, 13CO, H O, SiO, HCN, SO, SO2, CS, H2S and NH3. Our model fits to the observed 12CO and 13CO line intensities yield a 12C/13C ratio of 5.6 ± 1.8, consistent with measurements of this ratio for other M-supergiants, but significantly lower than previously estimated for VY CMa from observations of lower-J lines. The spectral line energy distribution for 20 SiO rotational lines shows two temperature components: a hot component at ∼1000 K, which we attribute to the stellar atmosphere and inner wind, plus a cooler ∼200 K component, which we attribute to an origin in the outer circumstellar envelope. We fit the line fluxes of 12CO, 13CO, H2O and SiO, using the smmol non-local thermodynamic equilibrium (LTE) line transfer code, with a mass-loss rate of 1.85 × 10−4 M⊙ yr−1 between 9R* and 350R*. We also fit the observed line fluxes of 12CO, 13CO, H2O and SiO with smmol non-LTE line radiative transfer code, along with a mass-loss rate of 1.85 × 10−4 M⊙ yr−1. To fit the high rotational lines of CO and H2O, the model required a rather flat temperature distribution inside the dust condensation radius, attributed to the high H2O opacity. Beyond the dust condensation radius the gas temperature is fitted best by an r−0.5 radial dependence, consistent with the coolant lines becoming optically thin. Our H2O emission-line fits are consistent with an ortho:para ratio of 3 in the outflow.
MORPH-NET: AN UNIVERSAL FUNCTION APPROXI-

Artificial neural networks are built on the basic operation of linear combination and non-linear activation function. Theoretically this structure can approximate any continuous function with three layer architecture. But in practice learning the parameters of such network can be hard. Also the choice of activation function can greatly impact the performance of the network. In this paper we are proposing to replace the basic linear combination operation with non-linear operations that do away with the need of additional non-linear activation function. To this end we are proposing the use of elementary morphological operations (dilation and erosion) as the basic operation in neurons. We show that these networks (Denoted as Morph-Net) with morphological operations can approximate any smooth function requiring less number of parameters than what is necessary for normal neural networks. The results show that our network perform favorably when compared with similar structured network.
Brain Activation and Cognitive Load during EEG Measured Creativity Tasks Accompanied by Relaxation Music

Creativity tasks require specific imagery, memory and semantic processes, as it has been revealed by various neuroscientific studies. There is significant evidence that an increase of spectral power in the EEG alpha band is inter-related with creative ideation as a form of top-down activity. However, any creational task demands a certain level of cognitive load or workload for memory retrieval, mental schemes design, semantic processing, image formation and concept construct. This paper aims to measure cognitive load during a series of divergent thinking creative tasks accompanied by relaxation music, to examine eventrelated brain activation and raw power measures in the baseline relaxation, alternate uses creative and verbalization stages of the proposed experimental procedure, as well as to study task-related synchronization/desynchronization between these phases. Also, its purpose is to verify whether slow relaxing music influences creativity, with effects in the brainwaves amplitude variations, especially in the alpha (8-12 Hz) frequency band. We concluded that relaxing music induces creativity and causes an increase in the alpha brain waves for innovative ideas generation and verbalization with a diminished level
HABITAT LOSS AND POPULATION DECLINE: A META‐ANALYSIS OF THE PATCH SIZE EFFECT

We evaluated the conditions under which patch size effects are important determinants of local population density for animals living in patchy landscapes. This information was used to predict when patch size effects will be expected to occur following habitat loss and fragmentation. Using meta-analysis, we quantitatively reviewed the results of 25 published studies that tested for a relationship between patch size and population density. Patch size effects were strong for edge and interior species (negative and postive patch size effects, respectively), but negligible for generalist species that use both edge and interior habitat. We found significant differences in mean patch size effects between migratory and residential species, between herbivores and carnivores, and among taxonomic groups. We found no evidence that patch size effects were related to landscape character- istics such as the proportion of landscape covered by habitat, median patch size, or the scale at which a study was conducted. However, species in the Western Hemisphere tended to have larger absolute effect sizes, and eastern species tended to be more variable in their response. For landscapes undergoing habitat loss and fragmentation, our results predict the fol- lowing: (1) among generalist species that use both the edge and the interior of a habitat patch, the decline in population size associated with habitat destruction should be accounted for by pure habitat loss alone; (2) for interior species, the decline in population size as- sociated with habitat fragmentation per se will be greater than that predicted from pure habitat loss alone; (3) for edge species, the decline in population size will be less than that predicted by pure habitat loss alone; (4) these relative effects will not be influenced by the extent of habitat loss, but they will be affected by the pattern of habitat when large or small patches are preferentially removed; and (5) as loss and fragmentation increase within a landscape, migratory species will generally suffer less of a decline in population size than resident species.
Remote Sensing-Based Biomass Estimation

Over the past two decades, one of the research topics in which many works have been done is spatial modeling of biomass through synergies between remote sensing, for‐ estry, and ecology. In order to identify satellite-derived indices that have correlation with forest structural parameters that are related with carbon storage inventories and forest monitoring, topics that are useful as environmental tools of public policies to focus areas with high environmental value. In this chapter, we present a review of dif‐ ferent models of spatial distribution of biomass and resources based on remote sens‐ ing that are widely used. We present a case study that explores the capability of canopy fraction cover and digital canopy height model (DCHM) for modeling the spatial distribution of the aboveground biomass of two forests, dominated by Abies Religiosa and Pinus spp. , located in Central Mexico. It also presents a comparison of different spatial models and products, in order to know the methods that achieved the highest accuracy through root-mean-square error. Lastly, this chapter provides con‐ cluding remarks on the case study and its perspectives in remote sensing-based bio‐ mass estimation.
The molecular complex associated with the Galactic H II region Sh2-90: a possible site of triggered star formation

Aims. We investigate the star formation activity in the molecular complex associated with the Galactic H II region Sh2-90. Methods. We obtain the distribution of the ionized and cold neutral gas using radio-continuum and Herschel observations. We use near-infrared and Spitzer data to investigate the stellar content of the complex. We discuss the evolutionary status of embedded massive young stellar objects (MYSOs) using their spectral energy distribution. Results. The Sh2-90 region presents a bubble morphology in the mid-infrared. Radio observations suggest it is an evolved H II region with an electron density similar to 144 cm(-3), emission measure similar to 6.7 x 10(4) cm(-6) pc and an ionized mass similar to 55 M-circle dot. From Herschel and CO (J = 3-2) observations we found that the H II region is part of an elongated extended molecular cloud (H-2 column density \textgreater= 3 x 10(21) cm(-2) and dust temperature 18-27 K) of total mass = 1 x 10(4) M-circle dot. We identify the ionizing cluster of Sh2-90, the main exciting star being an O8-O9 V star. Five cold dust clumps, four mid-IR blobs around B stars, and a compact H II region are found at the edge of the bubble. The velocity information derived from CO data cubes suggest that most of them are associated with the Sh2-90 region. One hundred and twenty-nine low mass (\textless= 3 M-circle dot) YSOs have been identified, and they are found to be distributed mostly in the regions of high column density. Four candidate Class 0/I MYSOs have been found. We suggest that multi-generation star formation is present in the complex. From evidence of interaction, time scales involved, and evolutionary status of stellar/protostellar sources, we argue that the star formation at the edges of Sh2-90 might have been triggered. However, several young sources in this complex are probably formed by some other processes.