Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of Corn Condensed Distillers Solubles in Beef Cattle Diets and Grazing Double-Cropped Forages Following Corn Harvest

Six hundred crossbred steers (initial BW = 435 kg; SD = 41 kg) were used to evaluate the effects of de-oiled corn condensed distillers solubles (CDS) on performance and carcass characteristics of finishing steers. Five treatments with 6 pens per treatment (20 steers / pen, n = 6) were used in a generalized randomized block designed experiment with 3 BW blocks. Treatments consisted of a control diet containing 68% dry-rolled corn, 17% high moisture corn, 10% alfalfa, and 5% supplement. Condensed distillers solubles (5.3% fat) were included at 8, 16, or 20% of diet DM and replaced the corn blend. A fifth treatment included 16% CDS with 20% WDGS to compare common industry inclusions of WDGS with additional CDS to the performance of the 16% CDS inclusion alone. Steers were limit fed for 5 d at the beginning of the trial and weighed on d 0 and 1 to account for gut fill. Steers were harvested at 110 d (heaviest 2 blocks) or 117 d (lightest block) and carcass data were collected. Linear and quadratic effects of increasing inclusions of CDS were evaluated using orthogonal contrasts and a pairwise comparison was used to compare the 16% CDS with 20% WDGS diet to the 16% CDS diet. Final BW, ADG, G:F, fat thickness, and HCW linearly increased (P ≤ 0.05) with increasing inclusions of CDS, while DMI tended to increase quadratically (P = 0.06) with increasing CDS inclusion. When comparing the 16% CDS with 20% WDGS diet to the 16% CDS diet, DMI decreased (P = 0.04) with a tendency for improved G:F (P = 0.08). No differences for carcass characteristics were observed (P ≥ 0.13) when comparing the 16% CDS with 20% WDGS diet to the 16% CDS diet. The feeding value of CDS when compared to the corn blend was calculated at 139, 146, and 147% for the 8, 16, and 20% inclusions of CDS. When 16% CDS was compared to 16% CDS in combination with
Deep Determinantal Point Process for Large-Scale Multi-label Classification

We study large-scale multi-label classification (MLC) on two recently released datasets: Youtube-8M and Open Images that contain millions of data instances and thousands of classes. The unprecedented problem scale poses great challenges for MLC. First, finding out the correct label subset out of exponentially many choices incurs substantial ambiguity and uncertainty. Second, the large data-size and class-size entail considerable computational cost. To address the first challenge, we investigate two strategies: capturing label-correlations from the training data and incorporating label co-occurrence relations obtained from external knowledge, which effectively eliminate semantically inconsistent labels and provide contextual clues to differentiate visually ambiguous labels. Specifically, we propose a Deep Determinantal Point Process (DDPP) model which seamlessly integrates a DPP with deep neural networks (DNNs) and supports end-to-end multi-label learning and deep representation learning. The DPP is able to capture label-correlations of any order with a polynomial computational cost, while the DNNs learn hierarchical features of images/videos and capture the dependency between input data and labels. To incorporate external knowledge about label co-occurrence relations, we impose relational regularization over the kernel matrix in DDPP. To address the second challenge, we study an efficient low-rank kernel learning algorithm based on inducing point methods. Experiments on the two datasets demonstrate the efficacy and efficiency of the proposed methods.
Influence of socioeconomic status vascular diseases in Hong Kong

Study objective-The aim was to explore the relationships between five socio-economic variables and three main cardio-vascular diseases (ischaemic heart disease, hypertensive disease, and cerebrovascular disease) in Hong Kong. Design-This cross sectional study used data from the 1986 by-census and registered death data for 1985 to 1987 in Hong Kong. For each of 24 districts, the correlation coefficients between log standardised mortality ratios for the three cardio-vascular diseases and the percentages of professional and administrative workers, production and agricultural workers, persons aged 15 and over having tertiary education, households with higher income, and people living in private residential blocks were calculated. Besides simple linear regression and correlation, factor analysis was used to produce a new single surrogate measure summarising the five most useful variables in 24 sets of districts.
University of

— Reliable and effective matching of visual descriptors is a key step for many vision applications, e.g. image retrieval. In this paper, we propose to integrate the Hausdorff distance matching together with our pairing algorithm, in order to obtain a robust while computationally efﬁcient process of matching feature descriptors for image-to-image querying in standards datasets. For this purpose, Scale Invariant Feature Transform (SIFT) descriptors have been matched using our presented algorithm, followed by the computation of our related similarity measure. This approach has shown excellent performance in both retrieval accuracy and speed.
Neural origins of the P300.

A review of the literature investigating the neural origins of detection behavior in humans reveals two event-related potential components, P3a and P3b, each with a distinct neural organization and cognitive function.The P3a is involved in automatic novelty detection and characterized by a more anterior cortical distribution, whereas the P3b is concerned with volitional target detection and has a more posterior cortical distribution. Intracranial investigation, studies with patients with focal brain lesions, and functional neuroimaging (fMRI) studies converge with scalp-recorded event-related potential (ERP) data in suggesting that a widespread cortical network gives rise to both automatic and controlled detection behavior. The main regions consistently attributed to generating detection-related brain activation include the temporal-parietal junction, medial temporal complex, and the lateral prefrontal cortex. The extant human and animal literature addressing the neural networks, neuropharmacological underpinnings, and behavioral significance of the P300 potential will be reviewed.
Out-ofthe-Money CEOs : How Do Proxy Contests Affect Insider Option Exercises

When a proxy contest is looming, the rate at which CEOs exercise options in order to sell (hold) the resulting shares slows down by 80% (accelerates by 60%), consistent with their desire to maintain or strengthen voting rights when facing control challenges. Such deviations are closely aligned with features unique to proxy contests, e.g., the record dates and nomination status. Moreover, a contest triples the probability that an insider exercises options out-of-the-money, an irrational strategy under conventional models. The various distortions suggest that incumbents (with private benefits of control) value their stocks 5% – 20% higher than the market price.
Tor-Mediated Induction of Autophagy via an Apg1 Protein Kinase Complex

Autophagy is a membrane trafficking to vacuole/lysosome induced by nutrient starvation. In Saccharomyces cerevisiae, Tor protein, a phosphatidylinositol kinase-related kinase, is involved in the repression of autophagy induction by a largely unknown mechanism. Here, we show that the protein kinase activity of Apg1 is enhanced by starvation or rapamycin treatment. In addition, we have also found that Apg13, which binds to and activates Apg1, is hyperphosphorylated in a Tor-dependent manner, reducing its affinity to Apg1. This Apg1–Apg13 association is required for autophagy, but not for the cytoplasm-to-vacuole targeting (Cvt) pathway, another vesicular transport mechanism in which factors essential for autophagy (Apg proteins) are also employed under vegetative growth conditions. Finally, other Apg1-associating proteins, such as Apg17 and Cvt9, are shown to function specifically in autophagy or the Cvt pathway, respectively, suggesting that the Apg1 complex plays an important role in switching between two distinct vesicular transport systems in a nutrient-dependent manner.
Utilization of Whole Exome Sequencing to Identify Causative Mutations in Familial Congenital Heart Disease

Background—Congenital heart disease (CHD) is the most common type of birth defect with family- and population-based studies supporting a strong genetic cause for CHD. The goal of this study was to determine whether a whole exome sequencing (WES) approach could identify pathogenic-segregating variants in multiplex CHD families. Methods and Results—WES was performed on 9 kindreds with familial CHD, 4 with atrial septal defects, 2 with patent ductus arteriosus, 2 with tetralogy of Fallot, and 1 with pulmonary valve dysplasia. Rare variants (<1% minor allele frequency) that segregated with disease were identified by WES, and variants in 69 CHD candidate genes were further analyzed. These selected variants were subjected to in silico analysis to predict pathogenicity and resulted in the discovery of likely pathogenic mutations in 3 of 9 (33%) families. A GATA4 mutation in the transactivation domain, p.G115W, was identified in familial atrial septal defects and demonstrated decreased transactivation ability in vitro. A p.I263V mutation in TLL1 was identified in an atrial septal defects kindred and is predicted to affect the enzymatic functionality of TLL1. A disease-segregating splice donor site mutation in MYH11 (c.4599+1delG) was identified in familial patent ductus arteriosus and found to disrupt normal splicing of MYH11 mRNA in the affected individual. Conclusions—Our findings demonstrate the clinical utility of WES to identify causative mutations in familial CHD and demonstrate the successful use of a CHD candidate gene list to allow for a more streamlined approach enabling rapid prioritization and identification of likely pathogenic variants from large WES data sets. Clinical Trial Registration—URL: https://clinicaltrials.gov; Unique Identifier: NCT0112048.
Vital sign detection for handheld communication device using antenna mismatching effect

This work presents heartbeat and respiration detection sensor to be applied for mobile communication devices. To estimate the near field effect, simulations are proceed to observe the magnitude variation of antenna reflection coefficient induced by human thorax movement of heart and lung. Experiments are carried out for heartbeat detection using dipole antenna with coupler and a method to improve the sensitivity of the system is proposed. Proposed cardiopulmonary detection system is implemented with off-the-shelf components at 2.4 GHz and excellent performance is obtained.
Analysis Strategies for Software Product Lines: A Classification and Survey

Software-product-line engineering enables the efficient development of similar software products. Instead of developing each product from scratch, products are generated from common artifacts. However, the product generation is a challenge for the analysis of correctness properties. Applying traditional analysis techniques, such as type checking and model checking, to each product involves redundant effort and is often not feasible to the combinatorial explosion of products. Approaches to scale analysis techniques to product lines have been presented in unrelated research areas with a different terminology each. We propose a classification of analysis strategies and classify a corpus of more than 100 approaches. Based on our insights, we develop a research agenda to guide research on product-line analyses. This talk is based on our recent ACM Computing Surveys article [TAK14]. References [TAK14] Thomas Thum, Sven Apel, Christian Kastner, Ina Schaefer, and Gunter Saake. A Classi- fication and Survey of Analysis Strategies for Software Product Lines. ACM Computing Surveys, 47(1):6:1–6:45, June 2014.
A smart way to increase the frequency and degree of protection of piezoelectric ceramic transducers

The fragile nature of piezoelectric ceramic transducers (PCTs) is one of the largest problems in handling and using them. The various uses of PCTs in different applications and being subjected to different pressure loads expose PCTs to the risk of breakages. Additionally, to increase the natural frequency of any PCT, its thickness needs to be decreased. PCT thickness is usually designed to be half of an acoustic wavelength at its resonant frequency. Requirements for such physical changes complicate frequency adjustment of PCTs. To protect PCTs from breakage risks and to increase its frequency without decreasing thickness, this work suggests mounting the PCT on a rubber base. A high frequency SM211 7.2 MHz PCT was used in this experimental study. For comparisons, a PCT with standard bonding was used as reference. A three step procedure was used to prepare the rubber mounted emitter and receiver PCT in a new test setup. A scientific comparison between the standard response and the new setup response was performed, and the effects of various levels of static pressures and on various types of specimens were studied. Results showed that the frequency of the rubber mounted PCT increased from 7.2 MHz to 125 MHz, but the mode shape remained unchanged. The type of metal specimen used had no significant effect, but increasing the applied pressure increased the rms output voltage, with no effect on frequency.
Dual-frequency annular-ring slot antennas fed by CPW feed and microstrip line feed

The dual-frequency properties of a dual annular-ring slot antenna fed by coplanar waveguide (CPW) and microstrip feedline are presented and experimentally studied. The proposed antenna is constructed by dual concentric annular-ring slots fabricated on FR4 substrate with single feed. The proposed slot antennas have good impedance matching for the two operating frequencies with a frequency ratio ranging about 1.34/spl sim/3.11 and 1.4/spl sim/1.74 can be achieved for CPW-fed and microstrip-fed.
TR-CS-02-19 Me-Centric Domain Server : 1 Changing the Way Services See

We present an architectural support for building context-a ware applications. With the increasing acceptance of dynamic mobile and ubiquitous computing environments, app lications are no longer bound to information explicitly provided by users. Instead, these environments invite a new kind of applications that can leverage from implicit information ranging from a simple time-of-a-day informati on to an elaborate description of user’s current activity commonly referred to as the context. Although the contextaware computing paradigm has been introduced over a decade ago, so far there exist only a limited number of conte xt-aware solutions available to everyday users. We believe that this is due to the tight coupling of contextual o perations where each application is required to sense, collect, interpret and apply all information independently fr om others. To overcome this issue we propose a decoupled approach where the information sensing, aggregation, and i nterpretation is provided by external services, and applications are only concerned with applying the contextual inf ormation according to their needs. Moreover, we focus on the design and specification of a generic service capable of b oth aggregating and interpreting contextual information as part of the Me-Centric computing project, and demonstrat e its capability in an office-based scenario.
Models of Monocular and Binocular Visual Perception in Quality Assessment of Stereoscopic Images

Assessing quality of experience (QoE) for three-dimensional (3-D) video is challenging. In this paper, we propose a new full-reference stereoscopic image quality metric, by simulating the behaviors of visual perception with simple and complex receptive field properties and constructing the models of monocular and binocular visual perception. To be more specific, the stereoscopic images are first classified into noncorresponding and corresponding regions. Then, monocular energy responses are generated for the noncorresponding region based on stimuli from different spatial frequencies and orientations, and binocular energy responses are generated for the corresponding region based on stimuli from different spatial frequencies, orientations and disparities, respectively. Finally, gradient similarities between the energy responses of the original and distorted stereoscopic images are measured for noncorresponding and corresponding regions, respectively, and all results are fused to get an overall score. Experiments on three 3-D image quality assessment (IQA) databases demonstrate that in comparison with the most related existing methods, the devised algorithm achieves higher agreement with subjective assessment, making it better suited for the evaluation and optimization of stereoscopic image processing algorithms.
CRF based Approach for Temporal Information Recognition from English Text Documents

Temporal expressions are very important structure in a natural language. In order to use it in information retrieval, it needs to be extracted and normalized into its absolute value. In this paper we have presented a novel approach for temporal information extraction system from English documents. We have used CRF based classifier for extraction of temporal expression. System is evaluated it on Wiki war corpus and manually annotated documents. It achieves Precision of 91.3% , recall of 98.13% on data set 1 and 88.09% and 95.14% on data set 2 for detection of temporal expression.
ROSAT Evidence for Intrinsic Oxygen Absorption in Cooling Flow Galaxies and Groups

The existence of large quantities of gas that have cooled and dropped out of the hot phase in massive elliptical galaxies, groups, and clusters is the key prediction of the inhomogeneous cooling flow scenario. Using spatially resolved, deprojected ROSAT Position Sensitive Proportional Counter (PSPC) spectra of 10 of the brightest cooling flow galaxies and groups with low Galactic column densities, we have detected intrinsic absorption over energies ~0.4-0.8 keV at the 2 σ/3 σ level in half of the sample. Since no intrinsic absorption is indicated for energies below ~0.4 keV, the most reasonable model for the absorber is collisionally ionized gas at temperatures T = 105-6 K with most of the absorption arising from ionized states of oxygen but with a significant contribution from carbon and nitrogen. The soft X-ray emission of this warm gas can also explain the sub-Galactic column densities of cold gas inferred within the central regions of most of the systems. (This could not be explained by an absorber composed only of dust.) Attributing the absorption to ionized gas reconciles the large columns of cold H and He inferred from Einstein and ASCA with the lack of such columns inferred from ROSAT. Within the central ~10-20 kpc, where the constraints are most secure, the mass of the ionized absorber is consistent with most (perhaps all) of the matter deposited by a cooling flow over the lifetime of the flow. Since the warm absorber produces no significant H or He absorption, the large absorber masses are consistent with the negligible atomic and molecular H inferred from H I and CO observations of cooling flows. It is also found that if T ≳ 2 × 105 K, then the optical and far-ultraviolet emission implied by the warm gas does not violate published constraints. An important theoretical challenge is to understand how the warm temperature is maintained and how the gas is supported gravitationally, and we discuss possible solutions to these problems that would require fundamental modification of the standard cooling flow scenario. Finally, we discuss how the prediction of warm ionized gas as the product of mass dropout in these and other cooling flows can be verified with new Chandra and XMM observations.
Universal immunization of infants against Neisseria meningitidis: Addressing the remaining unmet medical need in the prevention of meningitis and septicemia

Effective immunization policies have markedly decreased the incidence of many lethal infectious diseases of childhood, including diphtheria, pertussis, and poliomyelitis, among others. In industrialized countries, relatively recent success in combating meningitis and sepsis has come with the implementation of universal immunization of infants against Haemophilus influenzae type b (Hib) and Streptococcus pneumoniae. These universal immunization programs have reduced disease incidence and related deaths by more than 90%. Thus 2 out of the 3 major bacterial causes of invasive disease in children have now been controlled, leaving Neisseria meningitidis as the obvious next target. Currently, mortality attributable to invasive meningococcal disease remains at a level consistent with that of several other major vaccine-preventable infections prior to the implementation of immunization strategies. Unlike Hib and pneumococcus, US immunization policy against invasive meningococcal disease currently focuses on adolescents, a strategy that has been notably less than successful given that the highest incidence of invasive meningococcal disease occurs early in the first year of life. Development of safe and effective vaccines that broadly protect infants against disease caused by N meningitidis is the next logical step in the effort to prevent bacterial meningitis and sepsis. Their universal use in infancy would follow a well-established and notably successful path.
Neoadjuvant Hormone Therapy and Radical Prostatectomy: The Jury Is Still Out

Radical prostatectomy may lead to cure as long as the cancer is confined to the prostate and all malignant cells are removed. However, clinical staging is inaccurate and a significant proportion of cT1–T2 patients have positive margins which increases the likelihood of disease progression within 5 years of surgery. Neoadjuvant hormone therapy is one option being used to increase the likelihood of prostate cancer cure after radical prostatectomy. Randomized clinical trials using neoadjuvant hormone therapy and radical prostatectomy have been conducted mainly in patients with cT1 and cT2 prostate cancer. A decrease in the number of positive surgical margins was found in cT1 and cT2 prostate cancer patients receiving neoadjuvant hormone therapy, with a further decrease in those receiving treatment over longer periods. In cT3 prostate cancer patients equivocal results have been obtained and further research is needed. None of the studies reported so far were able to define the impact of neoadjuvant treatment on the surgical management of locally advanced prostate cancer. Additional studies are required to determine the optimal type and duration of hormone treatment. Furthermore, long-term follow-up is needed to evaluate whether neoadjuvant therapy will improve overall survival. In the meantime, patients must be informed of the advantages and disadvantages of treatment to allow them to make informed treatment decisions.