Miracle-dz/UniFAR-FTUs huggingface dataset:
High WSD Accuracy Using Naive Bayesian Classifier with Rich Features

Word Sense Disambiguation (WSD) is the task of choosing the right sense of an ambiguous word given a context. Using Naive Bayesian (NB) classifiers is known as one of the best methods for supervised approaches for WSD (Mooney, 1996; Pedersen, 2000), and this model usually uses only a topic context represented by unordered words in a large context. In this paper, we show that by adding more rich knowledge, represented by ordered words in a local context and collocations, the NB classifier can achieve higher accuracy in comparison with the best previously published results. The features were chosen using a forward sequential selection algorithm. Our experiments obtained 92.3% accuracy for four common test words (interest, line, hard, serve). We also tested on a large dataset, the DSO corpus, and obtained accuracies of 66.4% for verbs and 72.7% for nouns.
Behavioral/systems/cognitive Functional–anatomic Correlates of Sustained and Transient Processing Components Engaged during Controlled Retrieval

Controlled processing is central to episodic memory retrieval. In the present study, neural correlates of sustained, as well as transient, processing components were explored during controlled retrieval using a mixed blocked event-related functional magnetic resonance imaging paradigm. Results from 29 participants suggest that certain regions in prefrontal cortex, including anterior left inferior prefron-tal cortex near Brodmann's Area (BA) 45/47 and more posterior and dorsal left prefrontal cortex near BA 44, increase activity on a trial-by-trial basis when high levels of control are required during retrieval. Providing direct evidence for control processes that participate on an ongoing basis, right frontal-polar cortex was strongly associated with a sustained temporal profile during high control retrieval conditions, as were several additional posterior regions, including those within left parietal cortex. These results provide evidence for functional dissociation within prefrontal cortex. Frontal-polar regions near BA 10 associate with temporally extended control processes that may underlie an attentional set, or retrieval mode, during controlled retrieval, whereas more posterior prefrontal regions associate with individual retrieval attempts. In particular, right frontal-polar cortex involvement in sustained processes reconciles a number of disparate findings that have arisen when contrasting blocked-trial paradigms with event-related paradigms.
Disulfide Linkage and Structure of Highly Stable Yeast-derived Virus-like Particles of Murine Polyomavirus*

Background: Polyoma virus-like particles produced in vivo (yVLPs) are more stable than those assembled in vitro. Results: yVLPs exhibit higher disulfide connectivity and additional N-terminal structural features in VP1. Conclusion: An ordered network of cystine-bridged VP1 N-terminal peptides contributes to polyoma virus capsid stability. Significance: These results suggest a role for intracellular components in optimizing capsid assembly. VP1 is the major coat protein of murine polyomavirus and forms virus-like particles (VLPs) in vitro. VLPs consist of 72 pentameric VP1 subunits held together by a terminal clamp structure that is further stabilized by disulfide bonds and chelation of calcium ions. Yeast-derived VLPs (yVLPs) assemble intracellularly in vivo during recombinant protein production. These in vivo assembled yVLPs differ in several properties from VLPs assembled in vitro from bacterially produced pentamers. We found several intermolecular disulfide linkages in yVLPs involving 5 of the 6 cysteines of VP1 (Cys115–Cys20, Cys12–Cys20, Cys16–Cys16, Cys12/ Cys16–Cys115, and Cys274–Cys274), indicating a highly coordinated disulfide network within the in vivo assembled particles involving the N-terminal region of VP1. Cryoelectron microscopy revealed structured termini not resolved in the published crystal structure of the bacterially expressed VLP that appear to clamp the pentameric subunits together. These structural features are probably the reason for the observed higher stability of in vivo assembled yVLPs compared with in vitro assembled bacterially expressed VLPs as monitored by increased thermal stability, higher resistance to trypsin cleavage, and a higher activation enthalpy of the disassembly reaction. This high stability is decreased following disassembly of yVLPs and subsequent in vitro reassembly, suggesting a role for cellular components in optimal assembly.
WC-Co substrate preparation and deposition conditions for high adhesion of CVD diamond coating

Different substrate surface pretreatments have been used to improve the adhesion of CVD diamond coatings on WC-Co substrates. In this paper, we report the results of our experiments using a pretreatment method based on two-step chemical etching: one in Murakami solution and another in aqua regia. A systematic study was performed to evaluate the influence of the pretreatment on the composition and morphology of the WC-Co substrate. Furthermore, the effect of diamond nanoparticle seeding on the morphology and roughness of the substrate was also analyzed. After these studies, diamond coating was deposited on seeded WC-Co substrate by hot-filament CVD. The characterization of the CVD diamond coating was performed by Raman spectroscopy, FEG-SEM and AFM. Rockwell C indentation test was used to evaluate the adhesion between the CVD diamond coating and the WC-Co substrate.
Semantic Resource Discovery Semantic Resource Discovery Semantic Resource Discovery Semantic Resource Discovery with Resource Usage Policies with Resource Usage Policies with Resource Usage Policies with Resource Usage Policies in in in in Grid Environment Grid Environment Grid Environment Grid Envi

Grid Schedulers aggregate the Grid resource that belongs to multiple administrative domains in a transparent manner. The Grid resource providers have their own local resources policies for the resources that reflects the restrictions on the resource what they are providing to the users. However, the Grid users are submitting the user application along with their desired requirements for the job execution. Currently, most of the existing Grid Schedulers discover the suitable Grid resources to execute the application based on the capability of the Grid resources using the keyword based matchmaking that leads to failure of finding out the potential resources. In this paper,I have proposed the semantic based resource discovery mechanism that considers both the resource information and local resource policy information. The proposed work is integrated with the existing scheduler of Community Scheduling Framework (CSF) and tested for the various test cases in the real-time experimental setup. The various performance metrics such as hit/miss ratio, matchmaking time has been measured and analyzed. The results infer that the proposed work enhances the various performance measures compared to the conventional scheduler.
Off-Shore Robotics : Robust and Optimal Solutions for Autonomous Operation

In this paper we derive the singularity-free dynamic equations of vehicle-manipulator systems using a minimal representation. These systems are normally modeled using Euler angles, which leads to singularities, or Euler parameters, which is not a minimal representation and thus not suited for Lagrange's equations. We circumvent these issues by introducing quasi-coordinates which allows us to derive the dynamics using minimal and globally valid non-Euclidean configuration coordinates. This is a great advantage as the configuration space of the vehicle in general is non-Euclidean. We thus obtain a computationally efficient and singularity-free formulation of the dynamic equations with the same complexity as the conventional Lagrangian approach. The closed form formulation makes the proposed approach well suited for system analysis and model-based control. This paper focuses on the dynamic properties of vehicle-manipulator systems and we present the explicit matrices needed for implementation together with several mathematical relations that can be used to speed up the algorithms. We also show how to calculate the inertia and Coriolis matrices and present these for several different vehicle-manipulator systems in such a way that this can be implemented for simulation and control purposes without extensive knowledge of the mathematical background. By presenting the explicit equations needed for implementation, the approach presented becomes more accessible and should reach a wider audience, including engineers and programmers. (C) 2010 Elsevier B.V. All rights reserved.
Tropospheric response to stratospheric perturbations in a relatively simple general circulation model

The sensitivity of the tropospheric extratropical circulation to thermal perturbations of the polar stratosphere is examined in a dry primitive equation general circulation model with zonally symmetric forcing and boundary conditions. For sufficiently strong cooling of the polar winter stratosphere, the winter‐hemisphere tropospheric jet shifts polewards and strengthens markedly at the surface; this is accompanied by a drop in surface pressure at high latitudes in the same hemisphere. In addition, this extratropical tropospheric response is found to be very similar to the model's leading pattern of internal variability. These results are tested for robustness at several horizontal and vertical resolutions, and the same tropospheric response is observed at all but the lowest resolution tested. The behavior of this relatively simple model is broadly consistent with recent observational and modeling studies of trends in extratropical atmospheric variability.
Adaptive Computing on the Grid Using AppLeS

Ensembles of distributed, heterogeneous resources, also known as computational grids, have emerged as critical platforms for high-performance and resource-intensive applications. Such platforms provide the potential for applications to aggregate enormous bandwidth, computational power, memory, secondary storage, and other resources during a single execution. However, achieving this performance potential in dynamic, heterogeneous environments is challenging. Recent experience with distributed applications indicates that adaptivity is fundamental to achieving application performance in dynamic grid environments. The AppLeS (Application Level Scheduling) project provides a methodology, application software, and software environments for adaptively scheduling and deploying applications in heterogeneous, multiuser grid environments. We discuss the AppLeS project and outline our findings.
A Review of Dissimilar Welding Techniques for Magnesium Alloys to Aluminum Alloys

Welding of dissimilar magnesium alloys and aluminum alloys is an important issue because of their increasing applications in industries. In this document, the research and progress of a variety of welding techniques for joining dissimilar Mg alloys and Al alloys are reviewed from different perspectives. Welding of dissimilar Mg and Al is challenging due to the formation of brittle intermetallic compound (IMC) such as Mg17Al12 and Mg2Al3. In order to increase the joint strength, three main research approaches were used to eliminate or reduce the Mg-Al intermetallic reaction layer. First, solid state welding techniques which have a low welding temperature were used to reduce the IMCs. Second, IMC variety and distribution were controlled to avoid the degradation of the joining strength in fusion welding. Third, techniques which have relatively controllable reaction time and energy were used to eliminate the IMCs. Some important processing parameters and their effects on weld quality are discussed, and the microstructure and metallurgical reaction are described. Mechanical properties of welds such as hardness, tensile, shear and fatigue strength are discussed. The aim of the report is to review the recent progress in the welding of dissimilar Mg and Al to provide a basis for follow-up research.
A tour of TeamRooms

TeamRooms is a groupware environment based on the metaphor of shared virtual rooms. The system contains user-defined rooms, each with a shared whiteboard, chat tool and customizable groupware applets. The system also supports a number of features to help maintain awareness, as well as a rich persistence mechanism that can act as a group memory.
Learning the Preferences of Ignorant, Inconsistent Agents

An important use of machine learning is to learn what people value. What posts or photos should a user be shown? Which jobs or activities would a person find rewarding? In each case, observations of people's past choices can inform our inferences about their likes and preferences. If we assume that choices are approximately optimal according to some utility function, we can treat preference inference as Bayesian inverse planning. That is, given a prior on utility functions and some observed choices, we invert an optimal decision-making process to infer a posterior distribution on utility functions. However, people often deviate from approximate optimality. They have false beliefs, their planning is sub-optimal, and their choices may be temporally inconsistent due to hyperbolic discounting and other biases. We demonstrate how to incorporate these deviations into algorithms for preference inference by constructing generative models of planning for agents who are subject to false beliefs and time inconsistency. We explore the inferences these models make about preferences, beliefs, and biases. We present a behavioral experiment in which human subjects perform preference inference given the same observations of choices as our model. Results show that human subjects (like our model) explain choices in terms of systematic deviations from optimal behavior and suggest that they take such deviations into account when inferring preferences.
Two aerosolized nitric oxide adducts as selective pulmonary vasodilators for acute pulmonary hypertension.

STUDY OBJECTIVES To determine the selective vasodilatory effects of two inhaled "NONOate" aerosols in a closed chest pig model of acute pulmonary hypertension (APH). METHODS APH was induced by IV infusion of the prostaglandin H(2)/thromboxane A(2) receptor agonist (U46619). Aerosolized diethylenetriamine nitric oxide (NO) adduct (DETA/NO, n = 4), dipropylenetriamine NO adduct (DPTA/NO, n = 4) [60 micro mol each], or placebo (n = 4) was delivered via the trachea. Hemodynamic parameters and blood samples were measured before and after inhalation therapy. RESULTS Compared to control animals, pulmonary vascular resistance and pulmonary arterial pressure were significantly reduced from 10 to 105 min after DETA/NO administration and from 10 to 45 min after DPTA/NO aerosol administration (p < 0.05). Both aerosols had no significant effect on systemic vascular resistance or systemic BP. Serum nitrite significantly increased after the inhalation of both NONOates (p < 0.01). There was a tendency for reduced intrapulmonary shunting, particularly after treatment with DETA/NO. CONCLUSION Both DETA/NO and DPTA/NO administered as aerosols selectively reduced pulmonary hypertension induced by U46619.
CLEAN-ECC: High reliability ECC for adaptive granularity memory system

Adaptive-granularity memory architectures have been considered mainly because of main memory bottleneck and power efficiency. Meanwhile, highly reliable protection schemes are getting popular especially in large computing systems. Unfortunately, conventional ECC mechanisms including Chipkill require a large number of symbols to guarantee strong protection with acceptable overhead. We propose a novel memory protection scheme called CLEAN (Chipkill-LEvel reliable and Access granularity Negotiable), which enables us to balance the contradicting demands of fine-grained (FG) access and strong & efficient ECC. To close a potentially significant detection coverage gap due to CLEAN's detection mechanism coupled with permanent faults, we design a simple mechanism access granularity enforcement. By enforcing coarse-grained (CG) access, we can get only the advantage of higher protection comparable to Chipkill instead of achieving the adaptive access granularity together. CLEAN showed Chipkill level reliability as well as improvement in performance, system and memory power efficiency by up to 11.8%, 10.8% and 64.9% with mixes of SPEC2006 benchmarks.
Preventing Dangerous Nonsense: Selection for Robustness to Transcriptional Error in Human Genes

Nonsense Mediated Decay (NMD) degrades transcripts that contain a premature STOP codon resulting from mistranscription or missplicing. However NMD's surveillance of gene expression varies in efficiency both among and within human genes. Previous work has shown that the intron content of human genes is influenced by missplicing events invisible to NMD. Given the high rate of transcriptional errors in eukaryotes, we hypothesized that natural selection has promoted a dual strategy of “prevention and cure” to alleviate the problem of nonsense transcriptional errors. A prediction of this hypothesis is that NMD's inefficiency should leave a signature of “transcriptional robustness” in human gene sequences that reduces the frequency of nonsense transcriptional errors. For human genes we determined the usage of “fragile” codons, prone to mistranscription into STOP codons, relative to the usage of “robust” codons that do not generate nonsense errors. We observe that single-exon genes have evolved to become robust to mistranscription, because they show a significant tendency to avoid fragile codons relative to robust codons when compared to multi-exon genes. A similar depletion is evident in last exons of multi-exon genes. Histone genes are particularly depleted of fragile codons and thus highly robust to transcriptional errors. Finally, the protein products of single-exon genes show a strong tendency to avoid those amino acids that can only be encoded using fragile codons. Each of these observations can be attributed to NMD deficiency. Thus, in the human genome, wherever the “cure” for nonsense (i.e. NMD) is inefficient, there is increased reliance on the strategy of nonsense “prevention” (i.e. transcriptional robustness). This study shows that human genes are exposed to the deleterious influence of transcriptional errors. Moreover, it suggests that gene expression errors are an underestimated phenomenon, in molecular evolution in general and in selection for genomic robustness in particular.
Last-level cache deduplication

Caches are essential to the performance of modern micro- processors. Much recent work on last-level caches has focused on exploiting reference locality to improve efficiency. However, value redundancy is another source of potential improvement. We find that many blocks in the working set of typical benchmark programs have the same values. We propose cache deduplication that effectively increases last- level cache capacity. Rather than exploit specific value redundancy with compression, as in previous work, our scheme detects duplicate data blocks and stores only one copy of the data in a way that can be accessed through multiple physical addresses. We find that typical benchmarks exhibit significant value redundancy, far beyond the zero-content blocks one would expect in any program. Our deduplicated cache effectively increases capacity by an average of 112% com- pared to an 8MB last-level cache while reducing the physical area by 12.2%, yielding an average performance improvement of 15.2%.
LOCKSMITH: context-sensitive correlation analysis for race detection

One common technique for preventing data races in multi-threaded programs is to ensure that all accesses to shared locations are consistently protected by a lock. We present a tool called LOCKSMITH for detecting data races in C programs by looking for violations of this pattern. We call the relationship between locks and the locations they protect consistent correlation, and the core of our technique is a novel constraint-based analysis that infers consistent correlation context-sensitively, using the results to check that locations are properly guarded by locks. We present the core of our algorithm for a simple formal language λ> which we have proven sound, and discuss how we scale it up to an algorithm that aims to be sound for all of C. We develop several techniques to improve the precision and performance of the analysis, including a sharing analysis for inferring thread locality; existential quantification for modeling locks in data structures; and heuristics for modeling unsafe features of C such as type casts. When applied to several benchmarks, including multi-threaded servers and Linux device drivers, LOCKSMITH found several races while producing a modest number of false alarm.
Transparent Conductive Multilayer Films On Flexible Substrate For Electric Field Shielding Application

Several thin transparent and conductive films composed of conductive oxides (ITO) and metallic ultrathin layers (Ag, Au, Ti) have been deposited on flexible polycarbonate substrate and characterized in terms of optical transmittance, electrical conductivity and electric field screening efficiency. Thin films properties were evaluated with respect to the requirement concerning conductive garments described in Standard IEC 60895 “Live working -Conductive clothing” for workers operating on High Voltage or Ultra High Voltage live lines. Results show that the investigated multilayers could be adopted as facial masks for protection of workers from drift currents and electric field exposure, offering better alternative in electric performances and wearing comfort than previously tested metallic nets.
Femtosecond Laser Disruption of Filamentous Cyanobacteria Unveils Dissimilar Cellular Stability Between Heterocysts and Vegetative Cells

Filamentous cyanobacteria develop heterocysts in response to deprivation for combined nitrogen under aerobic conditions. The most prominent structural change in heterocysts is the biosynthesis of an envelope that restricts gas permeability, providing an appropriate micro‐oxic environment for N2 fixation inside. The additional thickness of the differentiated cells, when compared to vegetative cells, makes filamentous cyanobacteria an attractive biological system to investigate cellular response against femtosecond laser processing. By irradiating the cyanobacterial filaments with 120 fs, 795 nm, 1 kHz pulses focused through a 100× microscope objective with a numerical aperture of 0.85, we have determined that the pulse energy threshold for an apparent disruption of the cell wall of vegetative cells is 13 ± 4 nJ per pulse. A further increase in the pulse energy to 43 ± 13 nJ causes the complete removal of vegetative cells. In contrast, the pulse energy threshold has to be augmented about three‐fold for heterocyst envelope disruption or two‐fold for complete removal of heterocysts. We propose that the singular cross‐linked structure of the glycolipid multilayer of the envelope, required to restrict gas permeability, accounts for the remarked difference in the ablation energy threshold between vegetative cells and heterocysts.