Miracle-dz/UniFAR-FTUs huggingface dataset:
Software Adaptation

Reuse and integration of heterogeneous software parts are promises of ComponentBased Software Development. However, current industrial approaches suffer from a limited support for anything else than component signatures. Software Adaptation promotes the use of adaptors —specific computational entities guaranteeing that software components will interact in the right way not only at the signature level, but also at the behavioural, semantic and service levels. This paper presents in details the field of adaptation and serves as an introduction to the four papers which have been selected after the WCAT workshop at ECOOP’2004. RÉSUMÉ. La réutilisation et l’intégration d’éléments logiciels hétérogènes est une promesse du développement logiciel à base de composants. Cependant, les approches industrielles actuelles souffrent d’un support limité pour autre chose que les signatures de composants. L’adaptation logicielle promeut l’utilisation d’adaptateurs —des entités de calcul qui garantissent que les composants logiciels interagiront correctement, non seulement au niveau de leurs signatures, mais aussi au niveau comportemental, sémantique et service. Ce papier présente en détail l’adaptation et sert d’introduction aux quatre papiers qui ont été sélectionnés suite à l’atelier WCAT à ECOOP’2004.
A Topic-based Document Retrieval Framework

A Topic-based Document Retrieval Framework (TDRF) is proposed in this paper to resolve the topic-based document retrieval. The TDRF includes nine parts, of which Corpus Topic Learning, Query Topic Learning and Relationship Sorting are the core. Experiments on similar document retrieval showed that TDRF's instance outperforms the Vector Space Model (VSM) in average precision, recall and f-measure. The value of TDRF may lie in that it provides a simple, universal and novel methodology for document retrieval.
COMPARATIVE ANALYSIS OF LINK STATE AND DISTANCE VECTOR ROUTING PROTOCOLS FOR MOBILE ADHOC NETWORKS

Mobile Adhoc networks are primarily classified for their dynamic topology and lack of infrastructure. The key role of Adhoc network routing protocols is to establish routes efficiently and accurately among nodes and ensure the packet delivery in time. In this work the technique has selected two proactive, tables driven routing protocols from Distance Vector Routing (DVR) and Link State Routing(LSR) and evaluated their performance on the basis of specified network parameters. The results of a detailed simulation for mobile Adhoc networks, comparing two proactive, table driven routing protocols: OLSR as a candidate from LSR and DSDV as a representative from DVR in various scenarios of mobility, scalability and traffic load. Finally the paper discussed the functionality and behavior of both the protocols and their comparison based on simulation results.
A scalable location management scheme in mobile ad-hoc networks

In ad-hoc networks, geographical routing protocols take advantage of location information so that stateless and efficient routing is feasible. However such routing protocols are heavily dependent on the existence of scalable location management services. We present a novel scheme to perform scalable location management. With any location management schemes, a specific node, A, in the network trusts a small subset of nodes, namely its location servers, and periodically updates them with its location. Our approach adopts a similar strategy, but a different and original approach to select such location servers. First, we present a selection algorithm used to designate location servers of a node by its identifier. Second, we propose a hierarchical addressing model for mobile ad-hoc networks, where node locations could be represented at different accuracy levels. With this approach, different location servers may carry location information of different levels of accuracy and only a small set of location servers needs to be updated when the node moves. Through rigorous theoretical analysis, we are able to show that the control message overhead is bounded under our scheme. Finally, simulation results are presented to demonstrate the performance of our location management scheme.
The effects of interaction frequency on the productivity and satisfaction of automated problem-solving groups

A laboratory experiment was used to evaluate the effects of interaction frequency on computer-mediated groups using a group support system to perform an idea-generation task. Group interaction is defined as the length of time group members are allowed to form and input their contributions and the related rate at which group members exchange their contributions. It was found that frequently interacting groups and nominal groups outperformed infrequently interacting groups and individuals, but that frequently interacting groups felt more interrupted, less able to concentrate, and more hurried. <<ETX>>
Dietary Inulin Fibers Prevent Proton-Pump Inhibitor (PPI)-Induced Hypocalcemia in Mice

Background Proton-pump inhibitor-induced hypomagnesemia (PPIH) is the most recognized side effect of proton-pump inhibitors (PPIs). Additionally, PPIH is associated with hypocalcemia and hypokalemia. It is hypothesized that PPIs reduce epithelial proton secretion and thereby increase the pH in the colon, which may explain the reduced absorption of and Mg2+ and Ca2+. Fermentation of dietary oligofructose-enriched inulin fibers by the microflora leads to acidification of the intestinal lumen and by this enhances mineral uptake. This study aimed, therefore, to improve mineral absorption by application of dietary inulin to counteract PPIH. Methods Here, C57BL/J6 mice were supplemented with omeprazole and/or inulin. Subsequently, Mg2+ and Ca2+ homeostasis was assessed by means of serum, urine and fecal electrolyte measurements. Moreover, the mRNA levels of magnesiotropic and calciotropic genes were examined in the large intestine and kidney by real-time PCR. Results Treatment with omeprazole significantly reduced serum Mg2+ and Ca2+ levels. However, concomitant addition of dietary inulin fibers normalized serum Ca2+ but not serum Mg2+ concentrations. Inulin abolished enhanced expression of Trpv6 and S100g in the colon by omeprazole. Additionally, intestinal and renal mRNA levels of the Trpm6 gene were reduced after inulin intake. Conclusions This study suggests that dietary inulin counteracts reduced intestinal Ca2+ absorption upon PPI treatment. In contrast, inulin did not increase intestinal absorption of Mg2+ sufficiently to recover serum Mg2+. The clinical potential of dietary inulin treatment should be the subject of future studies.
Tunable Terahertz Metamaterials

: The adoption of metamaterials in the development of key terahertz (THz) components has led to tremendous theoretical and technological progress in the THz field. This Review discusses the methods and current progresses in tunable THz metamaterials, offering a glimpse of the future applications of these novel devices.
Syntactic Contributions in the Entailment Task: an implementation

The data set made available by the PASCAL Rec-ognizing Textual Entailment Challenge provides a great opportunity to focus on the very difficult task of determining whether one sentence (the hypothe-sis, H) is entailed by another (the text, T). In RTE-1 (2005), we submitted an analysis of the test data with the purpose of isolating the set of T-H pairs whose categorization could be accu-rately predicted based solely on syntactic cues (Vanderwende and Dolan, 2005). Furthermore, the intent of our analysis was to isolate the impact of syntactic analysis in the limit, and not of any given parser. We therefore relied on human annotators to decide whether syntactic information from an idealized parser would be sufficient to make a judgment. We found that 34% of the test items could be handled by syntax, including basic alter-nations. We found that 48% of the test items could be handled by syntax plus a general purpose the-saurus. Given that the test data is split evenly be-tween entailments that are True and False, an accuracy of 74% is in principle achievable for a system with access to a general purpose thesaurus, if the system guesses randomly on what it cannot determine using syntax. With these numbers as our goal, we have developed MENT (
Construction and test of low cost X-ray tomography scanner for physical-chemical analysis and nondestructive inspections

X‐ray computed tomography (CT) refers to the cross‐sectional imaging of an object measuring the transmitted radiation at different directions. In this work, we describe the development of a low cost micro‐CT X‐ray scanner that is being developed for nondestructive testing. This tomograph operates using a microfocus X‐ray source and contains a silicon photodiode as detectors. The performance of the system, by its spatial resolution, has been estimated through its Modulation Transfer Function—MTF and the obtained value at 10% of MTF is 661 μm. It was built as a general purpose nondestructive testing device.
Electromagneto squeezing rotational flow of Carbon (C)-Water (H2O) kerosene oil nanofluid past a Riga plate: A numerical study

This article predicts the electromagneto squeezing rotational flow of carbon-water nanofluid between two stretchable Riga plates. Riga plate is known as electromagnetic actuator which is the combination of permanent magnets and a span wise aligned array of alternating electrodes mounted on a plane surface. Mathematical model is developed for the flow problem with the phenomena of melting heat transfer, viscous dissipation and heat generation/absorption. Water and kerosene oil are utilized as the base fluids whereas single and multi-wall carbon nanotubes as the nanomaterials. Numerical solutions of the dimensionless problems are constructed by using built in shooting method. The correlation expressions for Nusselt number and skin friction coefficient are developed and examined through numerical data. Characteristics of numerous relevant parameters on the dimensionless temperature and velocity are sketched and discussed. Horizontal velocity is found to enhance for higher modified Hartman number.
Dynamic methods for fragment assembly in large scale genome sequencing projects

A package for handling fragment assembly problems that arise in large scale sequencing projects that employ random strategies is described. The authors have developed a package of dynamic data structures and algorithms for assembling and maintaining fragments. The package is geared to large projects where data are produced, assembled, and analyzed as an ongoing process. The system is unique in that it maintains the layout information for the fragment assembly in a set of dynamic data structures that permit new data to be very quickly added and analysis to be carried out at any point in the assembly process. <<ETX>>
Can E-Learning Be Made Real-Time?

It has been widely argued across e-learning research literature that the most innovative approaches to e-learning are those which allow learners to receive customized training material according to their needs and their own time and place. In this paper we propose an integrated approach which combines these constraints in generating a time-adjusted knowledge volume on-the-fly. Recent progress in semantic Web could facilitate a real-time approach to learning whereby contextual instruction is delivered at a time where the learner is ready to receive it and within a preset duration which satisfies the learner's schedule. To achieve these objectives, we propose a rule-based representation to model a domain context. The related domain knowledge is encapsulated within standard learning objects. A progressive inference engine maps selected ontological entities into timed learning objects which temporal attributes are deemed feasible with respect to the learner's schedule
Experimental investigation of adaptive beam with embedded devices

In this paper we are presenting the experimental dynamic response of an adaptive beam containing embedded mini-devices (sensors and actuators). The specimen used is a cantilever beam made of ALPLEX plastic as host material and PZT-5H as active devices for sensing and actuation. The experimental setup, and experimental results are presented and discussed. The capability of mini-actuators to change the dynamical behavior of the adaptive beam is demonstrated through adaptive stiffening and adaptive damping examples.
Selective Attention Modulates Neural Substrates of Repetition Priming and Implicit Visual Memory: Suppressions and Enhancements Revealed by fMRI

Attention can enhance processing for relevant information and suppress this for ignored stimuli. However, some residual processing may still arise without attention. Here we presented overlapping outline objects at study, with subjects attending to those in one color but not the other. Attended objects were subsequently recognized on a surprise memory test, whereas there was complete amnesia for ignored items on such direct explicit testing; yet reliable behavioral priming effects were found on indirect testing. Event-related fMRI examined neural responses to previously attended or ignored objects, now shown alone in the same or mirror-reversed orientation as before, intermixed with new items. Repetition-related decreases in fMRI responses for objects previously attended and repeated in the same orientation were found in the right posterior fusiform, lateral occipital, and left inferior frontal cortex. More anterior fusiform regions also showed some repetition decreases for ignored objects, irrespective of orientation. View-specific repetition decreases were found in the striate cortex, particularly for previously attended items. In addition, previously ignored objects produced some fMRI response increases in the bilateral lingual gyri, relative to new objects. Selective attention at exposure can thus produce several distinct long-term effects on processing of stimuli repeated later, with neural response suppression stronger for previously attended objects, and some response enhancement for previously ignored objects, with these effects arising in different brain areas. Although repetition decreases may relate to positive priming phenomena, the repetition increases for ignored objects shown here for the first time might relate to processes that can produce negative priming in some behavioral studies. These results reveal quantitative and qualitative differences between neural substrates of long-term repetition effects for attended versus unattended objects.
Detonation nanodiamond: Perspective and Applications

‘Detonation nanodiamond’ has elicited considerable academic and industrial interest in recent years. This form of nanodiamond is synthesized by detonating an explosive carbon source in an atmosphere of negative oxygen balance within an enclosed explosion chamber. Such detonation generates free carbon species due to incomplete combustion, and the high pressure and temperature of the chamber are conducive to the condensation of the free carbon into the diamond allotrope. The as-synthesized detonation nanodiamond, the detonation soot, consists of singlecrystalline diamond nanoparticles covered with graphitic carbon shells. These form aggregates of more than a few micrometers size when dry, although the primary particle averages 6 nm in size. The diamond yield is approximately 8%–12% of the charge mass, so that the detonation soot must be substantially purified to remove the graphitic carbon shells and to obtain the pure diamond phase. Hot-acid treatment, air oxidation, ozone exposure, or their combinations are usual ways to purify the detonation soot, and the hot-acid treatment with concentrated nitric acid is the most industrially suitable method. Purified detonation nanodiamonds are single-crystalline diamond nanoparticles (4 nm on average), and these primary nanoparticles aggregate strongly.
New Coordinated Control Design for Thermal-Power-Generation Units

A nonlinear model combining boiler-turbine-generator dynamic characteristics for a thermal-power-generation unit is first introduced. Based on the nonlinear model, a new coordinated control design is proposed using the backstepping method incorporating the coordinated passivation approach that considers the entire boiler-turbine-generator system as a whole. The control design consists of three subcontrollers, namely, a main steam valve controller, an excitation controller, and a fuel flow controller. It is shown that the proposed coordinated control design can ensure asymptotical stability of the closed-loop system and improve the electric power regulation performance. Simulation results based on a practical thermal-power-plant model are presented to show the effectiveness of the proposed control design.
Strongly-Typed Recurrent Neural Networks

Recurrent neural networks are increasing popular models for sequential learning. Unfortunately, although the most effective RNN architectures are perhaps excessively complicated, extensive searches have not found simpler alternatives. This paper imports ideas from physics and functional programming into RNN design to provide guiding principles. From physics, we introduce type constraints, analogous to the constraints that forbids adding meters to seconds. From functional programming, we require that strongly-typed architectures factorize into stateless learnware and state-dependent firmware, reducing the impact of side-effects. The features learned by strongly-typed nets have a simple semantic interpretation via dynamic average-pooling on one-dimensional convolutions. We also show that strongly-typed gradients are better behaved than in classical architectures, and characterize the representational power of strongly-typed nets. Finally, experiments show that, despite being more constrained, strongly-typed architectures achieve lower training and comparable generalization error to classical architectures.
Development and validation of a chemotherapy-induced taste alteration scale.

PURPOSE/OBJECTIVES To develop an instrument to assess the specific symptoms of chemotherapy-induced taste alterations. DESIGN Cross-sectional study. SETTING Two outpatient chemotherapy centers in Kanto, Japan. SAMPLE Convenience sample of 214 adult patients with chemotherapy-induced taste alterations. METHODS Items on the chemotherapy-induced taste alteration scale (CiTAS) were developed by a qualitative study of patients with taste alterations, and the content validity of each item was assessed by a panel of specialized oncology nurses. Data were analyzed for item consistency using Cronbach alpha and construct validity using factor analysis. MAIN RESEARCH VARIABLES Taste alterations, symptoms of discomfort, and impact of taste alterations on daily life. FINDINGS An 18-item scale was developed with four dimensions identified through factor analysis: decline in basic taste, discomfort, phantogeusia and parageusia, and general taste alterations. The scale demonstrated excellent reliability (Cronbach alpha = 0.9) and test-retest reliability (r = 0.94, p < 0.001, n = 28), as well as good validity, which was indicated by its strong correlation with a visual analog scale of the impact of taste alterations on daily life (r = 0.62, p < 0.001) and by negative correlations with Short Form-8 quality-of-life measures (physical component summary, r = -0.33; mental component summary, r = -0.47). CONCLUSIONS The CiTAS enabled valid, reliable measurement of specific symptoms of chemotherapy-induced taste alterations. The CiTAS has potential as a clinical tool and also could be used as a measure of chemotherapy-induced taste alterations in future studies. KNOWLEDGE TRANSLATION The CiTAS may help evaluate the effectiveness of interventions to reduce the symptoms of taste alterations, such as administering zinc and self-care strategies.
Null Results in Brief Common Genetic Variation at BARD 1 Is Not Associated with Breast Cancer Risk in BRCA 1 or BRCA 2 Mutation Carriers

Background: Inherited BRCA1 and BRCA2 (BRCA1/2) mutations confer elevated breast cancer risk. Knowledge of factors that can improve breast cancer risk assessment in BRCA1/2 mutation carriers may improve personalized cancer prevention strategies. Methods: A cohort of 5,546 BRCA1 and 2,865 BRCA2 mutation carriers was used to evaluate risk of breast cancer associated with BARD1 Cys557Ser. In a second nonindependent cohort of 1,537 of BRCA1 and 839 BRCA2 mutation carriers, BARD1 haplotypes were also evaluated. Results: The BARD1 Cys557Ser variant was not significantly associated with risk of breast cancer from single SNP analysis, with a pooled effect estimate of 0.90 (95% CI: 0.71–1.15) in BRCA1 carriers and 0.87 (95% CI: 0.59–1.29) in BRCA2 carriers. Further analysis of haplotypes at BARD1 also revealed no evidence that additional common genetic variation not captured by Cys557Ser was associated with breast cancer risk. Conclusion: Evidence to date does not support a role for BARD1 variation, including the Cy557Ser variant, as a modifier of risk in BRCA1/2 mutation carriers. Impact: Interactors of BRCA1/2 have been implicated as modifiers of BRCA1/2-associated cancer risk. Our finding that BARD1 does not contribute to this risk modification may focus research on other genes that do modify BRCA1/2-associated cancer risk. Cancer Epidemiol Biomarkers Prev; 20(5);
Convolutional Sparse Coding for High Dynamic Range Imaging

Current HDR acquisition techniques are based on either (i) fusing multibracketed, low dynamic range (LDR) images, (ii) modifying existing hardware and capturing different exposures simultaneously with multiple sensors, or (iii) reconstructing a single image with spatially‐varying pixel exposures. In this paper, we propose a novel algorithm to recover high‐quality HDRI images from a single, coded exposure. The proposed reconstruction method builds on recently‐introduced ideas of convolutional sparse coding (CSC); this paper demonstrates how to make CSC practical for HDR imaging. We demonstrate that the proposed algorithm achieves higher‐quality reconstructions than alternative methods, we evaluate optical coding schemes, analyze algorithmic parameters, and build a prototype coded HDR camera that demonstrates the utility of convolutional sparse HDRI coding with a custom hardware platform.
Novel forsterite scaffolds for bone tissue engineering: selective laser sintering fabrication and characterisation

Abstract The interconnected porous forsterite scaffolds were prepared by selective laser sintering at laser power from 4 to 10 W. The microstructure and composition of the scaffolds were analysed by scanning electron microscopy and X-ray diffraction. The mechanical properties were investigated with a universal testing system and a Vickers microindenter. The results showed that the sintering degree increased with increasing the laser power until a critical laser power had been reached (8 W). With the further increase of laser power, a few irregular cracks and voids occurred. It was attributed to the rapid outward expansion of the gas inside the powder layer, which was caused by the acute rising of temperature resulting from high laser power. The optimum compressive strength, elastic moduli and fracture toughness were 28·70±1·24 MPa, 154·72±6·95 MPa and 1·93±0·24 MPa m1/2 respectively. It was shown that MG-63 cells adhered, spread and grew well on the forsterite scaffolds, suggesting that the forsterite scaffolds might be appropriate for bone tissue engineering applications.