Miracle-dz/UniFAR-FTUs huggingface dataset:
Submillimeter Array 440 μm/690 GHz Line and Continuum Observations of Orion KL

Submillimeter Array observations of Orion KL at ~1'' resolution in the 440 μm/690 GHz band reveal new insights about the continuum and line emission of the region. The 440 μm continuum flux density measurement from source I allows us to differentiate among the various proposed physical models. Source I can be well modeled by a "normal" protostellar spectral energy distribution (SED) consisting of a proton-electron free-free emission component at low frequencies and a strong dust component in the submillimeter bands. Furthermore, we find that the protostellar object SMA1 is clearly distinct from the hot core. The nondetection of SMA1 at centimeter and infrared wavelengths suggests that it may be one of the youngest sources in the entire Orion KL region. The molecular line maps show emission mainly from source I, SMA1, and the hot core peak position. An analysis of the CH3CN(37K-36K) K-ladder (K = 0, … ,3) indicates a warm gas component of the order of 600 ± 200 K. In addition, we detect a large fraction (~58%) of unidentified lines and discuss the difficulties of line identification at these frequencies.
Retrieving Keyword ’ s to an Image Query using Kernel CCA

In this paper we propose an approach to automatically annota te query images with keywords. We use kernel Canonical Correlation A nalysis to learn a semantic representation between images and their associated documents. The semantic space provides a common representa tion and enables a comparison between the documents and images. This repre entation is then used in the creation of new document, comprise d from the keywords that best fit the image query. We compare our method a gainst a standard cross-representation retrieval technique know n as Generalised Vector Space Model.
The Effects of Staff Empowerment on Supervisory Relations , Burnout and Job Satisfaction : A Comparative Case Study of Two American Prisons

This comparative case study assesses the effects of an empowered staff management model on staff perceptions of the delegation of authority, opportunities to participate in decision making, supervisory relations, supervisory relations, prison management, job satisfaction and burnout. Indices of staff work environment were created by factor analysis of responses of 149 staff to organizational climate surveys. Bivariate analysis showed that the decentralized model provided a significant difference for only two out of six indices. Staff generally reported more positive relations with management under a flatter organizational structure that is part of an empowered staff management model. When two empowered staff sites were compared, it was found that the delegation of authority and relationship with supervision were significant effects of empowerment. The effects on staff burnout and job satisfaction were not significant.
SCWM: An Intelligent Constraint-Enabled Window Manager

Typical window management systems rely on direct manipulation techniques to organize and layout windows. Direct manipulation encourages the user to specify particular locations rather than higher-level intentions and desires regarding window layout. Our Scheme Constraints Window Manager (SCWM) allows users to express their intentions using both direct manipulation and higher-level commands. Because some user desires are for persistent relationships to hold among windows, we embed a constraint solver to maintain user-specified constraint-based relationships. To enable using constraints and expressing other layout intentions, we have explored a number of interaction paradigms, including voice recognition. The result is a window manager with much more intelligent window layout and behaviour.
A ] 2 5 Se p 20 02 Genera of Vertex Operator Algebras and three dimensional Topological Quantum Field Theories

The notion of the genus of a quadratic form is generalized to vertex operator algebras. We define it as the modular braided tensor category associated to a suitable vertex operator algebra together with the central charge. Statements similar as known for quadratic forms are formulated. We further explain how extension problems for vertex operator algebras can be described in terms of the associated modular braided tensor category.
The efficacy of a World-Wide Web mediated formative assessment

Two studies evaluated the effectiveness of a WWW-based formative assessment package used in undergraduate psychology courses. Students taking on-line multiple-choice tests received instant feedback on areas of weakness and how to address them. In Study 1, students used the package as an integral part of their course syllabus. Level of use correlated with performance in the end-of-course summative assessment. In Study 2, the package was used as an ‘optional extra’. Both studies found that students who used the package performed better than those who did not. Such systems may be useful learning tools which students may use to enhance performance.
Speech recognition for machine translation in Quaero

This paper describes the speech-to-text systems used to provide automatic transcriptions used in the Quaero 2010 evaluation of Machine Translation from speech. Quaero (www.quaero.org) is a large research and industrial innovation program focusing on technologies for automatic analysis and classification of multimedia and multilingual documents. The ASR transcript is the result of a Rover combination of systems from three teams ( KIT, RWTH, LIMSI+VR) for the French and German languages. The casesensitive word error rates (WER) of the combined systems were respectively 20.8% and 18.1% on the 2010 evaluation data, relative WER reductions of 14.6% and 17.4% respectively over the best component system.
Diving deeper into mentee networks

Modern computer vision is all about the possession of powerful image representations. Deeper and deeper convolutional neural networks have been built using larger and larger datasets and are made publicly available. A large swath of computer vision scientists use these pre-trained networks with varying degrees of successes in various tasks. Even though there is tremendous success in copying these networks, the representational space is not learnt from the target dataset in a traditional manner. One of the reasons for opting to use a pre-trained network over a network learnt from scratch is that small datasets provide less supervision and require meticulous regularization, smaller and careful tweaking of learning rates to even achieve stable learning without weight explosion. It is often the case that large deep networks are not portable, which necessitates the ability to learn mid-sized networks from scratch. In this article, we dive deeper into training these mid-sized networks on small datasets from scratch by drawing additional supervision from a large pre-trained network. Such learning also provides better generalization accuracies than networks trained with common regularization techniques such as l2, l1 and dropouts. We show that features learnt thus, are more general than those learnt independently. We studied various characteristics of such networks and found some interesting behaviors.
Framework Paper 00-01 a Review of the Models Used to Measure Intellectual Capital Table of Contents

Measuring Knowledge Assets, 00-01, Nick Bontis This paper provides an overview of the literature pertaining to the measurement of knowledge assets, including intellectual capital. Bontis builds a framework to classify research in this area and identifies key challenges and opportunities for future work. This paper reviews the concept of a knowledge-based economy and the role of knowledge and technology in driving productivity and economic growth. Staples and McKeen set out to build a research framework in directing the KBE Centre to understand all of the research areas that collectively inform the management of knowledge-based enterprises. This paper examines approaches used to guide thinking with respect to the role of knowledge management systems. This paper reviews the literature to establish a research framework to guide future investigations into key HR issues surrounding knowledge-based enterprises including motivation and reward. Reid's paper reviews the current status of knowledge exchange between firms and integrates key themes from disciplines such as strategic management, international business and the study of networks. ABSTRACT: This paper reviews the literature pertaining to the measurement of knowledge assets including intellectual capital. Since knowledge assets are at the crux of sustainable competitive advantage, the burgeoning field of intellectual capital is an exciting area for both researchers and practitioners. Unfortunately, the measurement of such intangible assets is difficult. A variety of models have surfaced in an attempt to measure IC and this paper aims to highlight their strengths, weaknesses and operationalizations.
New soft subspace method to gene expression data clustering

Subspace clustering is increasingly recognized as a useful and accurate alternative to conventional techniques. While a large number of hard subspace approaches have been introduced, only a handful of soft counterparts are developed with the common goal of obtaining the optimal cluster-specific dimension weights. These existing methods similarly extend k-means and rely on the iteratively modified cluster centers for the weight determination. As the quality of discovered centers are uncertain, the accuracy of weights may not always be maintained. Intuitively, by reducing such a dependency, the weight modification can be more effective, thus improving the goodness of data clustering. This paper presents a new soft subspace clustering method that implements the above-mentioned idea and demonstrates outstanding performance on real gene expression data, as compared to several existing algorithms found in the literature.
Quantified Epistemic Logics with Flexible Terms

We present a family of quantified epistemic logics for reasoning about knowledge in multi-agent systems. The language enjoys flexible terms with different denotations depending on the epistemic context in which they are interpreted. We present syntax and semantics of the language formally and show completeness of an axiomatisation. We discuss the expressive features of the language by means of an example.
Autographa californica nuclear polyhedrosis virus: subcellular localization and protein trafficking of BV/ODV-E26 to intranuclear membranes and viral envelopes.

The Autographa californica nuclear polyhedrosis virus da26 gene codes for an envelope protein of both budded virus (BV) and occlusion derived virus (ODV). Western blot and temporal analysis of infected cell extracts detected a protein of 26 kDa by 4 h postinfection (p.i.). The amount of protein increased by 16 h p.i. and remained at high levels throughout infection. By 36 h p.i. several additional immunoreactive proteins were detected which migrated at approximately 18 kDa and remained through 96 h p.i. Western blot analysis of purified virus envelope and nucleocapsid preparations revealed that both the 26- and 18-kDa proteins are structural proteins of the envelope of BV and ODV. Immunoelectron microscopy performed at a time when only the 26-kDa species of the protein was present confirmed that the protein located to ODV envelope. The protein was named BV/ODV-E26 to designate incorporation into viral progeny, envelope location, and apparent molecular weight. Studies designed to follow localization of BV/ODV-E26 demonstrated that early in infection, the protein was incorporated into cytoplasmic vesicles and by 16 h p.i. , BV/ODV-E26 was detected in the nucleus associated with virus-induced intranuclear microvesicles and ODV envelope. Coimmunoprecipitation and yeast two-hybrid assays showed that BV/ODV-E26 and FP25K were capable of interacting with each other to form a complex and coimmunoprecipitation assays indicated that cellular actin was a third component of this complex. Together, these data suggest that FP25K and cellular actin may participate in the regulation, or movement through the cell, of baculovirus proteins and/or virus nucleocapsids.
Simultaneous Localization and Map building paradigm based on omnidirectional stereoscopic vision

This paper deals with the localization and map building paradigm in an unknown indoor environment. We propose an exploration method based on the use of the sensorial data provided by an omnidirectional stereoscopic vision system. The first part of our study is linked with the problem of sensorial model construction with two omnidirectional images obtained by a rigid translation along a rail of our SYCLOP sensor. We propose an approach based on the fusion of several criteria which is realized according to Dempster-Shafer rules. The second part is devoted to the matching problem of the stereo sensorial model with an environment map integrating all the previous primitive observations. We propose two matching approaches based on different selection criterion: the Hausdorff distance and the cumulated cartesian distance. The third part presents our incremental map building paradigm based on the hypothesis of a non a priori knowledge. We deal with the problem wish consists in allowing a robot to localize itself and to construct concurrently a representation of its environment. In this part we discuss the problem of interaction between the localization stage and the mapping stage.
Poor Thermal Care Practices among Home Births in Nepal: Further Analysis of Nepal Demographic and Health Survey 2011

Introduction Hypothermia is a major factor associated with neonatal mortality in low and middle income countries. Thermal care protection of newborn through a series of measures taken at birth and during the initial days of life is recommended to reduce the hypothermia and associated neonatal mortality. This study aimed to identify the prevalence of and the factors associated with receiving ‘optimum thermal care’ among home born newborns of Nepal. Methods Data from the Nepal Demographic and Health Surveys (NDHS) 2011 were used for this study. Women who reported a home birth for their most recent childbirth was included in the study. Factors associated with optimum thermal care were examined using Chi-square test followed by logistic regression. Results A total of 2464 newborns were included in the study. A total of 57.6 % were dried before the placenta was delivered; 60.3% were wrapped; 24.5% had not bathing during the first 24 hours, and 63.9% were breastfed within one hour of birth. Overall, only 248 (10.7%; 95% CI (8.8 %, 12.9%)) newborns received optimum thermal care. Newborns whose mothers had achieved higher education (OR 2.810; 95% CI (1.132, 6.976)), attended four or more antenatal care visits (OR 2.563; 95% CI (1.309, 5.017)), and those whose birth were attended by skilled attendants (OR 2.178; 95% CI (1.428, 3.323)) were likely to receive optimum thermal care. Conclusion The current study showed that only one in ten newborns in Nepal received optimum thermal care. Future newborn survival programs should focus on those mothers who are uneducated; who do not attend the recommended four or more attend antenatal care visits; and those who deliver without the assistance of skilled birth attendants to reduce the risk of neonatal hypothermia in Nepal.
ifferential activity of subgenual cingulate and brainstem in panic disorder nd PTSD

Most functional neuroimaging studies of panic disorder (PD) have focused on the resting state, and have explored PD in relation to healthy controls rather than in relation to other anxiety disorders. Here, PD patients, posttraumatic stress disorder (PTSD) patients, and healthy control subjects were studied with functional magnetic resonance imaging utilizing an instructed fear conditioning paradigm incorporating both Threat and Safe conditions. Relative to PTSD and control subjects, PD patients demonstrated significantly less activation to the Threat condition and increased activity to the Safe condition in the nxiety disorders
0 Ju l 2 00 8 UFIFT-HEP-0805 E 8 ( 8 ) in Light Cone Superspace

We derive the non-linear action of E8(8) on the constrained chiral superfield in the light-cone superspace with eight complex Grassmann variables. We construct (to lowest order in the coupling) the sixteen dynamical supersymmetries which generate a Hamiltonian with E8(8) invariance in three space-time dimensions, and show that it has only interactions with even powers of the coupling constant.
Marrow Transplantation Irradiated Mice after Syngeneic Bone and Naive T Cell Generation in Lethally Cytokine Efficiently Restores Thymopoiesis Hybrid b IL-7/Hepatocyte Growth Factor In Vivo Administration of the Recombinant

Bone marrow transplantation (BMT) is often followed by a prolonged period of T cell deﬁciency. Therefore, the enhancement of T cell reconstitution is an important clinical goal. We have identiﬁed a novel hybrid cytokine containing IL-7 and the b -chain of hepatocyte growth factor (HGF) in the supernatant of cultured mouse BM stromal cells. We have cloned and expressed the IL-7/ HGF b gene to produce a single-chain rIL-7/HGF b protein that stimulates the in vitro proliferation of thymocytes, early B-lineage cell, and day 12 spleen CFUs. In this study, we show that, following syngenic BMT, the in vivo administration of rIL-7/HGF b supports the rapid and complete regeneration of the thymus and efﬁciently reconstitutes the pool of naive T cells having a normally diverse TCR repertoire. The rIL-7/HGF b hybrid cytokine was signiﬁcantly more effective quantitatively than was rIL-7 and differed qualitatively in its ability to cross-link c-Met and IL-7R a and to stimulate the expansion of early thymocyte progenitors and thymic epithelial cells. It also supports the maturation and homeostatic expansion of peripheral T cells. Consequently, the in vivo administration of rIL-7/HGF b may offer a new approach to preventing and/or correcting post-BMT T cell immune deﬁciency. The Journal of Immunology , 2011, 186: 1915–1922. ue age-dependent T cell
Drop of coherence of the lower kilo-Hz QPO in neutron stars : is there a link with the innermost stable circular orbit ?

Using all available archival data from the Rossi X-ray Timing Explorer (RXTE), we follow the frequency of the kilo-Hz QPOs in three low luminosity neutron star low mass X-ray binaries; namely 4U 1636-536, 4U 1608-522, and 4U 1735-44. Following earlier work by Barret et al. (2005a,b), we focus our analysis on the lower kilo-Hz QPO, for which we study the dependency of its quality factor (Q=ν/∆ν, where ∆ν is the FWHM) and amplitude as a function of frequency over a range covering from 500 Hz to 1000 Hz. As previously found for 4U 1636-536, we show that the quality factor of the lower kilo-Hz increases with frequency up to a maximum frequency around 800 Hz, beyond which an abrupt drop of its coherence is observed down to a limiting frequency where the QPO disappears completely. Simultaneously the amplitude of the QPOs is almost constant below the peak frequency and starts to decrease smoothly afterwards. A ceiling of the lower QPO frequencies is also seen clearly in a frequency versus count rate diagram for all sources. This behavior is reproducible within an object and between objects. We suggest here that the drop of coherence of the lower QPO may be a geometry-related effect, which could be related to the last stable circular orbit.
A Practical Performance Model for Compute and Memory Bound GPU Kernels

Performance prediction of GPU kernels is generally a tedious procedure with unpredictable results. In this paper, we provide a practical model for estimating performance of CUDA kernels on GPU hardware in an automated manner. First, we propose the quadrant-split model, an alternative of the roofline visual performance model, which provides insight on the performance limiting factors of multiple devices with different compute-memory bandwidth ratios with respect to a particular kernel. We elaborate on the compute-memory bound characteristic of kernels. In addition, a micro-benchmark program was developed exposing the peak compute and memory transfer performance using variable operation intensity. Experimental results of executions on different GPUs are presented. In the proposed performance prediction procedure, a set of kernel features is extracted through an automated profiling execution which records a set of significant kernel metrics. Additionally, a small set of device features for the target GPU is generated using micro-benchmarking and architecture specifications. In conjunction of kernel and device features we determine the performance limiting factor and we generate an estimation of the kernel's execution time. We performed experiments on DAXPY, DGEMM, FFT and stencil computation kernels using 4 GPUs and we showed an absolute error in predictions of 10.1% in the average case and 25.8% in the worst case.
Impacts of fertilizer additions on water quality of a drained pine plantation in North Carolina. A worst case scenario.

Intensive plantation forestry will be increasingly important in the next 50 years to meet the high demand for domestic wood in the US. However, forestry management practices can substantially influence downstream water quality and ecology. In this study, the effect of fertilization on drainage water quality of a coastal pine plantation located in Carteret County, NC was studied. The pine plantation consists of three watersheds, two mature (31-year old) and a young (8-year old) stands (age at treatment). One of the mature stands was commercially thinned in 2002. The un-thinned mature stand was designated as a control and was not fertilized. The two other stands (young and thinned) were fertilized with diammonium phosphate, urea, and boron. Each treatment watershed received a different fertilizer rate. Both the flow rates and nutrient concentrations in water drained from each of the watersheds were measured. Nutrient concentrations and nutrient loadings were analyzed using a paired watershed approach and GLM statistical procedures. Three large storm events occurred soon after fertilization, a 5-year 24 hr, a 1 to 2-year, and a third event (46 mm in 46 hr) occurred six, 29 and 47 days after fertilization respectively. It was determined that peak nutrient concentrations soon after fertilization were much higher than the average concentrations, which were significantly (a = 0.05) higher on both treatment watersheds soon after fertilization than during any other period during the study. The effect of fertilization on both the nutrient concentrations and loading rates was short lived and the levels were back to pre-fertilization levels as soon as three months after fertilization. Also, the average nutrient increase on the thinned stand was higher than on the young stand as a result of a higher fertilizer rate applied on the thinned stand one.
Sparse concept discriminant matrix factorization for image representation

Over the past few decades, matrix factorization has attracted considerable attention for image representation. It is desired for a matrix factorization technique to find the basis that is able to capture highly discriminant information as well as to preserve the intrinsic manifold structure. Besides, the basis has to generate a sparse representation for a given image. In this paper, we propose a matrix factorization method called Sparse concept Discriminant Matrix Factorization (SDMF) by combining a novel fisher-like criterion with the sparse coding. The criterion is discriminant enough across different feature spaces, and meanwhile maintains locally neighboring structures. The proposed method is general for both cases with and without class labels, hence yielding supervised and un-supervised SDMFs. Experimental results show that SDMF provides better representation with higher performance on two tasks (image recognition and clustering) compared with the existing matrix factorization methods.