Miracle-dz/UniFAR-FTUs huggingface dataset:
Robot Dialog Optimization via Modeling of Human Belief Updates

Future autonomous robots deployed in homes and workplaces must be able to competently ask for help when situations arise that fall outside of their knowledge or capabilities. When asking for help, these robots must provide enough information to solve the problem without giving overwhelming amounts of information. We present a novel algorithm that learns to predict how natural language utterances affect a classifier model of human task knowledge. We show how these predictions can be used to generate language that is both minimal and sufficiently communicative.
Prediction of protein translation initiation site from the perspective of imbalanced classes

The correct prediction of protein translation initiation from messenger RNA (mRNA) is an important activity for genomic annotation. This problem is known to be highly imbalanced, since each molecule has a single mRNA translation initiation site and several others which are not initiator AUGs. In this context, the present work has focused on undersampling methods for balancing class distribution proposed to solve such problem. Here, we present the results obtained from the Condensed Nearest Neighbor Rule (CNN), Tomek, and random sampling methods already known in the literature, and introduce a new one for balancing, namely C-Blocks, which is based on clustering. Using the concept of Bagging [1], the results of these classifiers is combined to obtain a final ranking of the sequence.
Selective adhesion of wastewater bacteria to Pleurotus ostreatus mycelium in a trickle-bed bioreactor

The work is focused on spontaneous colonization of fungal mycelium by invading microorganisms in a trickle-bed fungal bioreactor operating under semi-sterile conditions. Pleurotus ostreatus was grown under the flow of synthetic wastewater containing activated sludge bacteria and the microbial consortium developed in the reactor was characterized. Genotype and phenotype profile of the reactor-invading, bacterial consortium was clearly distinctive from that of the original activated sludge. The bacterial consortium from the reactor contained a higher portion of bacteria capable of cellobiose utilization and a small amount of bacteria with the ability to utilize benzoic acids. The invading bacteria had no effect on the dye decolorization performance of the fungal reactor. Five bacterial strains colonizing P. ostreatus reactor cultures were isolated and identified as species of the genera Pseudomonas and Bacillus . Except for Bacillus cereus all strains displayed a potential to inhibit fungal growth on solid media (14 to 51 % inhibition) which was comparable or higher than that of the reference bacterial strains. The pH- and media composition-dependence of the growth inhibition was demonstrated.
Occurrence of Northern Saw-Whet Owls (Aegolius acadicus) in Alabama Determined from Targeted Banding Efforts

Abstract. Enticed by the migratory irruption of 2007, we established three banding stations in northeastern Alabama, USA, to determine the prevalence of Northern Saw-whet Owls (Aegolius acadicus) in the state and subsequently examine the broader extent of migration patterns and demographics at latitudes ≤35°N. We captured 202 Northern Saw-whet Owls between 2007 and 2016, with annual totals ranging from 3 in 2014 to 64 in 2012. The proportion of hatch-year owls captured was 38.1% overall, which was considerably lower than levels reported at more northern stations. Morphometric estimates and a sex-specific discriminant function analysis table indicated 63.9% of all Northern Saw-whet Owls captured were female and 11.9% were males, with the remaining 24.2% of undetermined sex. Peak migration occurred during mid-November. We locally recaptured 44 individuals and determined that recaptures were bimodally distributed, with most owls recaptured 1 wk after initial banding and a second peak 10–13 wk afterward. We estimated 50% of owls emigrated from stations within 3 wk of initial banding. We encountered seven owls initially banded at northern stations; one of these had flown 1518 km from Whitefish Point Bird Observatory, Michigan to Hollins, Alabama. Of these encounters, three were intra-seasonal and represented owls that had migrated at an average rate of 36.2 km/night. Four owls banded in Alabama were encountered during subsequent seasons in the northern United States. Although limited, these data suggest owls follow the Appalachian Mountains and western Great Lakes migration routes into Alabama. Our findings indicate Northern Saw-whet Owls regularly overwinter in northeastern Alabama, although abundances probably vary annually with migration dispersion cycles. We recommend additional Northern Saw-whet Owl banding stations be established across the southeastern United States to further study this secretive species within the southern periphery of its winter range.
A Study on the Relation between Business Process Management Maturity and Innovation Full paper

This paper presents a study of the relationship between business process management maturity and innovation in organizations. Data was collected with a questionnaire that was based on three theoretical models namely a BPM maturity model, and adoption of innovations model and the innovation values chain. Data was collected from several organizations ranging from small to large in several countries in Europe. The findings suggest a moderate and on occasion somewhat stronger relation between the core concepts. These relationship seem to differ when data was analyzed for the separate organizational sizes. The core recommendations are that that organizations need to assess their BPM maturity and 'innovativeness' before concerted efforts are made for improvement, and that an alignment of BPM and innovation may offer positive results in organizational performance.
Genome wide analysis of transcript levels after perturbation of the EGFR pathway in the Drosophila ovary

Defects in the epidermal growth factor receptor (EGFR) pathway can lead to aggressive tumor formation. Activation of this pathway during normal development produces multiple outcomes at the cellular level, leading to cellular differentiation and cell cycle activation. To elucidate the downstream events induced by this pathway, we used genome‐wide cDNA microarray technology to identify potential EGFR targets in Drosophila oogenesis. We focused on genes for which the transcriptional responses due to EGFR pathway activation and inactivation were in opposite directions, as this is expected for genes that are directly regulated by the pathway in this tissue type. We perturbed the EGFR pathway in epithelial follicle cells using seven different genetic backgrounds. To activate the pathway, we overexpressed an activated form of the EGFR (UAS‐caEGFR), and an activated form of the signal transducer Raf (UAS‐caRaf); we also over‐ or ectopically expressed the downstream homeobox transcription factor Mirror (UAS‐mirr) and the ligand‐activating serine protease Rhomboid (UAS‐rho). To reduce pathway activity we used loss‐of‐function mutations in the ligand (gurken) and receptor (torpedo). From microarrays containing 6,255 genes, we found 454 genes that responded in an opposite manner in gain‐of‐function and loss‐of‐function conditions among which are many Wingless signaling pathway components. Further analysis of two such components, sugarless and pangolin, revealed a function for these genes in late follicle cell patterning. Of interest, components of other signaling pathways were also enriched in the EGFR target group, suggesting that one reason for the pleiotropic effects seen with EGFR activity in cancer progression and development may be its ability to regulate many other signaling pathways. Developmental Dynamics 232:709–724, 2005. © 2005 Wiley‐Liss, Inc.
A Review of Metamaterials and its Applications

During the past ten years, a great interest in the research of metamaterials has been observed. Metamaterials are artificially invented materials that show the properties which are not detected in naturally occurring materials. Metamaterials exhibits negative permittivity and/ or negative permeability. This paper presents a review of different types of metamaterials, their own unique properties and advantages. Keywords—Metamaterials(MTM), Double negative metamaterials (DNG), Negative Index Metamaterials (NIMs), Left handed Metamaterials (LHM), Split Ring Resonators
Document image matching using probabilistic graphical models

A document image matching approach making use of probabilistic graphical models is proposed. The document image is first represented by a tree with the nodes in the tree corresponding to the regions in the image and the edges indicating the parent-child relationships between them, transforming the problem to tree matching. A graphical model, i.e. pairwise Markov Random Field is defined on the tree, in which sense the nodes are considered as random variables and the edges encode the relations among these variables in the probability domain. The tree matching problem is then formulated as Maximum a Posterior (MAP) inference over the graphical model and solved by belief propagation. Since the underlying graphical model is tree-structured, the exact inference can be obtained. With properly defined potential functions in the joint probability represented by the graphical model, the disparity in tree representations caused by different image capturing conditions can be tolerated as demonstrated in the encouraging experimental results.
Compressive imaging measurement design from an image patch manifold prior

We look at the design of projective measurements based upon image priors. If one assumes that image patches from natural imagery can be modeled as a low rank manifold, we develop an optimality criterion for a measurement matrix based upon separating the canonical elements of the manifold prior. Any sparse image reconstruction algorithm has improved performance using the developed measurement matrix over using random projections. Some insights into the empirical estimation of the image patch manifold are developed and several results are presented.
A Decision Support System for TV self-promotion Scheduling

This paper describes a Decision Support System (DSS) that aims to plan and maintain the weekly self-promotion space for an over the air TV station. The self-promotion plan requires the assignment of several self-promotion advertisements to a given set of available time slots over a pre-specified planning period. The DSS consists of a data base, a statistic module, an optimization module, and a user interface. The input data is provided by the TV station and by an external audiometry company, which collects daily audience information. The statistical module provides estimates based on the data received from the audiometry company. The optimization module uses a genetic algorithm that can find good solutions quickly. The interface reports the solution and corresponding metrics and can also be used by the decision makers to manually change solutions and input data. Here, we report mainly on the optimization module, which uses a genetic algorithm (GA) to obtain solutions of good quality for realistic sized problem instances in a reasonable amount of time. The GA solution quality is assessed using the optimal solutions obtained by using a branch-and-bound based algorithm to solve instances of small size, for which optimality gaps below 1% are obtained.
Cancer Therapy : Preclinical Vandetanib Restores Head and Neck Squamous Cell Carcinoma Cells ’ Sensitivity to Cisplatin and Radiation In Vivo and In Vitro

Purpose: We investigated whether vandetanib, an inhibitor of the tyrosine kinase activities of vascular endothelial growth factor receptor-2 (VEGFR-2), epidermal growth factor receptor (EGFR), and rearranged during transfection (RET), could augment the antitumor activity of radiation with or without cisplatin in preclinical in vitro and in vivo models of human head and neck squamous cell carcinoma (HNSCC). Experimental Design: OSC-19 and HN5 HNSCC cells that were cisplatin and radioresistant were treated with vandetanib, cisplatin, and radiation alone or in combination in vitro and in vivo using an orthotopic nude mouse model. Treatment effects were assessed using clonogenic survival assay, tumor volume, bioluminescence imaging, tumor growth delay, survival, microvessel density, tumor and endothelial cell apoptosis, and EGFR and Akt phosphorylation data. Results: Vandetanib plus cisplatin radiosensitized HNSCC cells in vitro and in vivo. The combination treatment with vandetanib, cisplatin, and radiation was superior to the rest of treatments (including the double combinations) in antitumoral effects, prolonging survival, decreasing cervical lymph node metastases in vivo. It also increased both tumor and tumor-associated endothelial cell apoptosis and decreasedmicrovessel density in vivo. An analysis of tumor growth delay data revealed that vandetanib plus cisplatin enhanced radioresponse in vivo. All vandetanib-containing treatments inhibited EGFR and Akt phosphorylation in vitro and in vivo. Conclusion: The addition of vandetanib to combination therapy with cisplatin and radiation was able to effectively overcome cisplatin and radioresistance in in vitro and in vivomodels of HNSCC. Further study of this regimen in clinical trials may be warranted. Clin Cancer Res; 17(7); 1815–27. 2011 AACR.
Improved mixed H2/H∞ robust fault-tolerant control against sensor failures

For a class of polytopic uncertain systems, the problem of robust fault-tolerant control against sensor faults is presented. By using of Linear Matrix Inequality (LMI) relaxation technique, a matrix inequality representation is given to guarantee the system stability and mixed H2/H∞ performance. A new sufficient and necessary condition for the existence of mixed H2/H∞ robust fault-tolerant controller is derived based on parameter-department Lyapunov function. The condition eliminates the coupling of Lyapunov variable and system matrices by introducing slack variable to reduce the conservatism of controller design. The nonlinear matrix inequality in the proposed condition is converted into LMI about new variables based on variable substitution method. A numerical example is given to demonstrate the effectiveness of the approach.
Negative affect and self-report of physical symptoms: two longitudinal studies of older adults.

The ability of negative affect (NA) to predict somatic complaints 6 months later was examined. State NA, including anxious affect (AA) and depressive affect (DA), was measured in 2 separate samples of older adults averaging 62 and 73 years of age. In the first study, DA reliably predicted later complaints, and a corresponding trend was noted for NA. The second study showed that state NA and its 2 constituent variables predicted somatic complaints associated with acute illness (e.g., colds) 6 months later. The second study also examined trait measures of the 3 predictor variables and found that NA and AA, but not DA, were associated with subsequent somatic complaints. However, these trait effects were less robust than those attributable to their state counterparts. The authors conclude that negative mood states are the more consistent predictors of later physical symptom reports.
Use of a structural equation model for prediction of pain symptoms in patients with orofacial pain and temporomandibular disorders.

AIMS To develop and test a biopsychosocial model using structural equation modeling for predicting orofacial pain symptoms in a sample of patients with masticatory muscle pain (MMP). METHODS Data were collected from clinic records of 251 adult patients who presented for initial evaluation to the Orofacial Pain Center at the University of Kentucky College of Dentistry and were subsequently diagnosed with MMP. Data were used to fit a model relating stressors, psychological distress, arousal, sleep problems, oral parafunction, and pain symptoms. Items from the Multidimensional Pain Inventory (MPI) and the IMPATH:TMJ, a comprehensive biopsychosocial assessment of patients with temporomandibular disorders (TMD), were used to construct a measurement model of five latent variables. RESULTS Estimation of the model indicated a good fit to the data and significant associations between stressors, psychological distress, arousal, sleep problems, and pain symptoms. Sleep problems partially mediated the relation between arousal and pain symptoms. Contrary to hypotheses, no association occurred between oral parafunction and pain symptoms, possibly indicating that any relationship between oral parafunction and pain symptoms may not exist. CONCLUSION Results from the model tested in the present study are an additional step toward developing a more comprehensive biopsychosocial model explaining the nature and etiology of MMP in orofacial pain and TMD. With additional development and testing, it may also serve as an aid to planning interventions, especially psychosocial interventions targeting stress management, psychophysiological regulation, psychological distress, and sleep problems.
Geometric model for DSPN satellite reception in the dense scatterer mobile environment

A geometric propagation model is developed for simulating the reception of direct sequence pseudonoise (DSPN) satellite signals by a directional or omni directional antenna in the dense scatterer mobile environment. The model is used to predict fading statistics. As expected, the mitigation of fading is closely related to the ratio of DSPN chip duration to delay spread of the scatterer medium for both the omni and directional antennas. The results suggest a general, frequency domain interpretation for the value of DSPN in mitigating multipath fading. >
Atomistic Modeling of Gate-All-Around Si-Nanowire Field-Effect Transistors

We report atomistic simulations of the transport properties of Si-nanowire (SiNW) field-effect transistors. Results have been obtained within a self-consistent approach based on the nonequilibrium Green's function (NEGF) scheme in the density functional theory framework. We analyze in detail the operation of an ultrascaled SiNW channel device and study the characteristics and transfer characteristics behavior of the device while varying several parameters including doping, gate and oxide lengths, and temperature. We focus our attention to the quantum capacitance of the SiNW and show that a well-tempered device design can be accomplished in this regime by choosing suitable doping profiles and gate contact parameters.
The Importance of Role-Based and Collective Authenticity on Well-Being and Withdrawal

Research on the benefits of authenticity tends to focus on expressing one’s authentic individual aspects of self (e.g., personality traits, values, opinions) and less on other identities, such as the roles one inhabits and the collective groups to which one belongs. Across two studies and samples totaling over 4,500 working individuals, we test the relationships between work-related role and collective authenticity and well-being/withdrawal outcomes, as well as their added explanatory value above and beyond the traditional way of conceptualizing authenticity (individual authenticity). In Study 1, we find that both work-related role authenticity and collective authenticity predict well-being above and beyond individual authenticity, whereas only work-related role authenticity adds explanatory value to both withdrawal outcomes. In Study 2, we find a largely similar pattern of results between types of authenticity and well-being/withdrawal outcomes collected approximately 9 months after. Implications are discussed.
Budget Constraints and Profitability: Evidence from a Transition Economy

A heat exchanger, in particular a charge air cooler or an exhaust gas cooler for an internal combustion engine, comprising a plurality of essentially parallel tubes and at least one collector box on the output side, the tubes each emptying into the collector box on the output side, and a gas flow flowing from the tubes into the collector box and from the collector box into an outlet of the collector box, a structure for interacting with the gas flow being provided at least one of the tubes or collector box, a condensation being transported to the outlet with the aid of the structure.
Repetitive-Based Controller for a UPS Inverter to Compensate Unbalance and Harmonic Distortion

This paper discusses a repetitive-based controller for an uninterruptible power supply (UPS) inverter. It is shown that a bank of resonant filters, used as a refinement term for harmonic compensation in earlier works, is equivalent to a repetitive scheme with a particular structure. The latter is implemented using a simple feedback array with a delay line, thus making the implementation relatively easy. More precisely, the repetitive scheme takes a negative feedback structure plus a feedforward path whenever the odd harmonics are considered for compensation only. The repetitive scheme, equivalent to the bank of resonant filters, acts as a refinement term to reject the harmonic distortion caused by the unbalanced and distorted load current, and thus, allowing the UPS inverter to deliver an almost pure sinusoidal balanced voltage. Experimental results in a 1.5 KVA three-phase inverter are included to show the performance of the proposed controller
Mutant PIK 3 CA promotes cell growth and invasion of human cancer cells

PIK3CA is mutated in diverse human cancers, but the functional effects of these mutations have not been defined. To evaluate the consequences of PIK3CA alterations, the two most common mutations were inactivated by gene targeting in colorectal cancer (CRC) cells. Biochemical analyses of these cells showed that mutant PIK3CA selectively regulated the phosphorylation of AKT and the forkhead transcription factors FKHR and FKHRL1. PIK3CA mutations had little effect on growth under standard conditions, but reduced cellular dependence on growth factors. PIK3CA mutations resulted in attenuation of apoptosis and facilitated tumor invasion. Treatment with the PI3K inhibitor LY294002 abrogated PIK3CA signaling and preferentially inhibited growth of PIK3CA mutant cells. These data have important implications for therapy of cancers harboring PIK3CA alterations.
Sequential designs for phase III clinical trials incorporating treatment selection

Most statistical methodology for phase III clinical trials focuses on the comparison of a single experimental treatment with a control. An increasing desire to reduce the time before regulatory approval of a new drug is sought has led to development of two‐stage or sequential designs for trials that combine the definitive analysis associated with phase III with the treatment selection element of a phase II study. In this paper we consider a trial in which the most promising of a number of experimental treatments is selected at the first interim analysis. This considerably reduces the computational load associated with the construction of stopping boundaries compared to the approach proposed by Follman, Proschan and Geller (Biometrics 1994; 50: 325–336). The computational requirement does not exceed that for the sequential comparison of a single experimental treatment with a control. Existing methods are extended in two ways. First, the use of the efficient score as a test statistic makes the analysis of binary, normal or failure‐time data, as well as adjustment for covariates or stratification straightforward. Second, the question of trial power is also considered, enabling the determination of sample size required to give specified power. Copyright © 2003 John Wiley & Sons, Ltd.