Miracle-dz/UniFAR-FTUs huggingface dataset:
Proof Spaces for Unbounded Parallelism

In this paper, we present a new approach to automatically verify multi-threaded programs which are executed by an unbounded number of threads running in parallel. The starting point for our work is the problem of how we can leverage existing automated verification technology for sequential programs (abstract interpretation, Craig interpolation, constraint solving, etc.) for multi-threaded programs. Suppose that we are given a correctness proof for a trace of a program (or for some other program fragment). We observe that the proof can always be decomposed into a finite set of Hoare triples, and we ask what can be proved from the finite set of Hoare triples using only simple combinatorial inference rules (without access to a theorem prover and without the possibility to infer genuinely new Hoare triples)? We introduce a proof system where one proves the correctness of a multi-threaded program by showing that for each trace of the program, there exists a correctness proof in the space of proofs that are derivable from a finite set of axioms using simple combinatorial inference rules. This proof system is complete with respect to the classical proof method of establishing an inductive invariant (which uses thread quantification and control predicates). Moreover, it is possible to algorithmically check whether a given set of axioms is sufficient to prove the correctness of a multi-threaded program, using ideas from well-structured transition systems.
Towards ne-grained adaptivity in web caches

Web cache complexity is growing nearly as fast as the WWW is expanding. As the size increases, the architecture becomes more complex and the number of parameters involved in tuning is growing. Tuning a Web cache involves a great deal of expertise, which is shared by many people around the world. But not every web cache administrator has the necessary knowledge to tune a cache and obtain good performances. Based on this observation, we would like to model and develop a web cache which could tune itself, by taking into account its traffic and other parameters. We present here a model for a framework allowing various strategies to be dynamically changed during the server runtime.
COMBINING CLASSIFIERS IN ROCK IMAGE CLASSIFICATION – SUPERVISED AND UNSUPERVISED APPROACH

Combining classifiers has proved to be an effective solution to several classification problems in pattern recognition. In this paper we use classifier combination methods for the classification of natural images. In the image classification, it is often beneficial to consider each feature type separately, and combine the classification results in the final classifier. We present a classifier combination strategy that is based on classification result vector, CRV. It can be applied both in supervised and unsupervised way to the image classification. Natural images are often non-homogenous, which means that there are clearly visible changes in their visual properties. This makes them difficult to classify. In this paper we apply our classifier combination method to the classification of rock images. These images represent real rock image data that is non-homogenous in terms of its color and texture properties. The classification results are compared to the results of commonly used classifier combination strategies.
Cancer Therapy : Preclinical In Vitro and In Vivo Selective Antitumor Activity of a Novel Orally Bioavailable Proteasome Inhibitor MLN 9708 against Multiple Myeloma Cells

Purpose: The success of bortezomib therapy for treatment of multiple myeloma (MM) led to the development of structurally and pharmacologically distinct novel proteasome inhibitors. In the present study, we evaluated the efficacy of one such novel orally bioactive proteasome inhibitor MLN9708/ MLN2238 in MM using well-established in vitro and in vivo models. Experimental Design:MMcell lines, primary patient cells, and the humanMM xenograft animal model were used to study the antitumor activity of MN2238. Results: Treatment of MM cells withMLN2238 predominantly inhibits chymotrypsin-like activity of the proteasome and induces accumulation of ubiquitinated proteins. MLN2238 inhibits growth and induces apoptosis in MM cells resistant to conventional and bortezomib therapies without affecting the viability of normal cells. In animal tumor model studies, MLN2238 is well tolerated and inhibits tumor growth with significantly reduced tumor recurrence. A head-to-head analysis of MLN2238 versus bortezomib showed a significantly longer survival time inmice treated withMLN2238 thanmice receiving bortezomib. Immununostaining ofMMtumors fromMLN2238-treatedmice showedgrowth inhibition, apoptosis, andadecrease in associated angiogenesis.Mechanistic studies showed thatMLN2238-triggeredapoptosis is associatedwith activation of caspase-3, caspase-8, and caspase-9; increase in p53, p21,NOXA, PUMA, and E2F; induction of endoplasmic reticulum (ER) stress response proteins Bip, phospho-eIF2-a, and CHOP; and inhibition of nuclear factor kappa B. Finally, combining MLN2238 with lenalidomide, histone deacetylase inhibitor suberoylanilide hydroxamic acid, or dexamethasone triggers synergistic anti-MM activity. Conclusion: Our preclinical study supports clinical evaluation of MLN9708, alone or in combination, as a potential MM therapy. Clin Cancer Res; 17(16); 1–11. 2011 AACR.
Fabricating One Cell of Refreshable Braille Display Using New Bistable Electroactive Polymers

Bistable electroactive polymer (BSEP) exhibiting large-strain actuation, shape memory effect, sharp and reversible rigid-to-rubbery transition, and rigid-to-rigid deformation is regarded as a competitive candidate for refreshable Braille display. Two new BSEP materials with a long-chain urethane diacrylate and stearyl acrylate named BS80-1 and BS80-2, respectively, were studied for their mechanical properties and actuation performances. BS80-2, compared with BS80-1, presents a better bonding with electrodes made of carbon nanotubes, a better toughness up to 312% strain, a reinforced tensile strength and a larger elongation at break compared to BS80-1. On the other hand, to better understand the actuation performance of both materials, computer simulation under same experimental conditions using finite element analysis was also conducted. Through combining the experimental and simulated actuation performance, data we obtained could be employed as guidance to fabrication of the Braille cell. Unlike conventional high electric filed induced actuation of BSEP, for our refreshable Braille display, air pressure is utilized to trigger the actuation. In this way, the voltage needed to drive the device could be significantly lower and the safety of device could be improved as well.
HamsaTouch: tactile vision substitution with smartphone and electro-tactile display

This paper documents the development and evaluation of a novel tactile vision substitution system (TVSS) for the people with visual impairments. The system is composed of an electro-tactile display with 512 electrodes, the same number of optical sensors beneath each electrode, and a smartphone with a camera and an LCD. The smartphone acquires the surrounding view, conducts image processing and displays the image on the LCD. The image is captured by the optical sensors and converted to a tactile image by the electro-tactile display. While the concept of the TVSS is classic, combining the commonly available mobile device and electro-tactile display enables a low cost yet powerful and compact system. Furthermore, optical communication architecture enables an open development environment.
Shape forming by thermal expansion mismatch and shape memory locking in polymer/elastomer laminates

This paper studies a novel method to fabricate three-dimensional (3D) structure from 2D thermo-responsive shape memory polymer (SMP)/elastomer bilayer laminate. In this method, the shape change is actuated by the thermal mismatch strain between the SMP and the elastomer layers upon heating. However, the glass transition behavior of the SMP locks the material into a new 3D shape that is stable even upon cooling. Therefore, the second shape becomes a new permanent shape of the laminate. A theoretical model that accounts for the temperature-dependent thermomechanical behavior of the SMP material and thermal mismatch strain between the two layers is developed to better understand the underlying physics. Model predictions and experiments show good agreement and indicate that the theoretical model can well predict the bending behavior of the bilayer laminate. The model is then used in the optimal design of geometrical configuration and material selection. The latter also illustrates the requirement of thermomechanical behaviors of the SMP to lock the shape. Based on the fundamental understandings, several self-folding structures are demonstrated by the bilayer laminate design.
Influence of Dielectric-barrier Discharge (DBD) Cold Plasma on Water Contaminated Bacteria

after Results : It was found that using of different time of DBD plasma against different bacterial species give increase reduction rate until reaching lethal time of each species, this reduction time was species and isolates dependent, that the two L. pneumophila isolates have elimination time between 90 sec and 120 sec, while, S. paucimobilis two isolates need (75 -120) sec for total reduction and E. meningoseptica need only 45 sec for total destruction. The effect of sub-lethal dose of nonthermal DBD plasma on surviving bacterial cell on some virulence factors was studied for one isolate from each of L. pneumophila and S. paucimobilis . Results show that the ability of isolates for biofilm production was strongly reduced by these two isolates and the ability of tested isolates to produced protease, lipase and acid phosphatase enzymes were eliminated after exposed to sublethal dose of DBD plasma. Conclusion: Nonthermal DBD plasma is effective in treatment of tested isolates for relatively short exposure time. These activity is strain depending and survival cell after plasma treatment loss it is ability to exhibit some virulence property. From these investigations, it was proven that the DBD method was an effective and alternative application to conventional disinfectant methods of water treatment.
Reverberant sound field analysis using a microphone array

The use of microphone arrays for sound pickup in reverberant environments has been proposed by many authors. The observation on the M microphones can be decomposed into a spatially coherent and an incoherent part. The first one is due to perfect (plane or spherical) sound waves caused by the direct path and specular reflections, whereas the latter is caused by diffusion, diffraction, non-perfect reflections, electrical and quantization noise. In this paper we firstly present a deflation method to detect and localize spatially coherent waves from the measured impulse responses. In a second step the filters which model the source directivity and the reflecting materials are estimated. The model takes into account nearfield delay, range attenuation, microphone and source directivity as well as non-trivial reflections.
Bilateral macrodystrophia lipomatosa of the upper extremities with syndactyly and multiple lipomas

Abstract Macrodystrophia lipomatosa is a rare disease that causes congenital local gigantism of part of an extremity, which is characterised by an increase in all mesenchymal elements, particularly fibroadipose tissue. This is the first report to our knowledge of a case of histologically confirmed bilateral macrodystrophia lipomatosa of the upper extremities with syndactyly and multiple lipomas.
Altered Neurochemical Ingredient of Hippocampus in Patients with Bipolar Depression

Background. In a number of investigations, hippocampal neurochemicals were evaluated in the patients with bipolar disorder who were on their first episode or euthymic periods. However, we did not meet any investigation in which only patients with bipolar depression were examined. As a consequence, the objective of the present study was to examine both sides of hippocampus of patients with bipolar disorder in depressive episode and healthy controls using 1H-MRS. Methods. Thirteen patients with DSM-IV bipolar I disorder, most recent episode depressed, were recruited from the Department of Psychiatry at Firat University School of Medicine. We also studied 13 healthy comparison subjects who were without any DSM-IV Axis I disorders recruited from the hospital staff. The patients and controls underwent proton magnetic resonance spectroscopy (1H-MRS) of their hippocampus. NAA, CHO, and CRE values were measured. Results. No significant effect of diagnosis was observed for NAA/CRE ratio. For the NAA/CHO ratio, the ANCOVA with age, gender, and whole brain volume as covariates revealed that the patients with bipolar depression had significantly lower ratio compared to healthy control subjects for right and for left side. As for the CHO/CRE ratio, the difference was statistically significant for right side, with an effect diagnosis of F = 4.763, P = 0.038, and was very nearly significant for left side, with an effect diagnosis of F = 3.732, P = 0.064. Conclusions. We found that the patients with bipolar depression had lower NAA/CHO and higher CHO/CRE ratios compared to those of healthy control subjects. The findings of the present study also suggest that there may be a degenerative process concerning the hippocampus morphology in the patients with bipolar depression.
A generalized correlation coefficient: Application to DTI and multi-fiber DTI

Multi-fiber models have been introduced as an efficient and interpretable way of representing the diffusion signal in areas with crossing fibers. However, no metric has been provided to use multi-fiber features in registration. The normalized correlation coefficient is commonly used in registration of scalar images due to its invariance under linear transformations of the intensities. In this paper, we generalize the normalized correlation coefficient for tensor and multi-tensor images. The generalized invariance allows linear transformations of the diffusion eigenvalues in the logarithmic domain. We subsequently use it as a metric for block matching and show that multi-tensor features leverage the accuracy of the matching in areas with crossing fibers.
JAMES: JAva test-bed ManagEment System

Research on wireless sensor networks (WSNs) has recently moved from the design and evaluation of protocol stacks to real-life implementation and test of the proposed solutions. It would be desirable to be able to run the implementation of a given protocol stack (or of multiple stacks) over different real-life test- beds obtaining comparable results. This requires standardized interfaces to remotely access and control a federation of test- beds, tools to gather data on the protocol performance without affecting the network operations, as well as ways to standardize how data needed to compute the metrics of interest are gathered and analyzed. This paper describes the design and use of JAMES, a new Test-bed Management System for WSNs that addresses all these challenges. We also discuss the use of JAMES features to ease the experimental evaluation of protocol stacks we have developed. Our experiments show that only a few tens of lines need to be written to be able to execute tests on a given protocol stack and that JAMES operations are transparent to the stack behavior.
A high content screening microscopy approach to dissect nanoparticle uptake and trafficking in mammalian cells

IV ACKNOWLEDGEMENTS . VI STATEMENT OF ORIGINAL AUTHORSHIP . VIII COLLABORATIONS . IX LIST OF ABBREVIATIONS . X LIST OF FIGURES . XIII LIST OF TABLES . XV CHAPTER
Quad-rotor switching control: An application for the task of path following

The problem of vision-based road following using a quad-rotor is addressed. The objective consists of estimating and tracking a road without a priori knowledge of such path. For this purpose, two operational regions are defined: one for the case when the road is detected, and the other one for when it is not. A switching between imaging and inertial sensors measurements allows estimating the required vehicle's parameters in both regions. Also, for dealing with both aforementioned cases, a switching control strategy which stabilizes the vehicle's lateral position is proposed. The performance of the proposed switching methodologies is tested in real time experiments.
IMPLEMENTATION OF FUZZY-NEURO CONTROLLER FOR DC-DC CONVERTER FED DC SERIES MOTOR USING EMBEDDED MICROCONTROLLER

The speed control of a DC series motor with Hybrid Fuzzy-Neuro Controller (FNC) is presented in this paper. The motor is connected with a DC Chopper. This configuration has been designed with current control and speed control loops. The current controller blocks the PWM signal when the current increases beyond its limit. The speed controller is based on Fuzzy-Neuro type. The performances of FNC are analyzed in respect of load variation and speed variation using MATLAB/Simulink. This system is implemented in NXP 80C51 Microcontroller based Embedded System. From the result of simulation and hardware implementation it is found that the FNC can have better control compared with Fuzzy Logic Controller (FLC).
Optimal SAT-based Planning with Macro-actions and Learned Horizons

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Enhanced chondrogenic differentiation of human bone marrow mesenchymal stem cells on PCL/PLGA electrospun with different alignments and compositions

ABSTRACT The simultaneous effect of electrospun scaffold alignment and polymer composition on chondrogenic differentiation of human bone marrow mesenchymal stem cells (hBMMSC) is investigated. Aligned and randomly oriented polycaprolactone/poly(lactic-co-glycolic acid) (PLGA) hybrid electrospun scaffolds with two different ratios are fabricated by electrospinning. It is found that aligned nanofibrous scaffolds support higher chondrogenic differentiation of hBMMSCs compared to random ones. The aligned scaffolds show a higher expression level of chondrogenic markers such as type II collagen and aggrecan. It is concluded that the aligned nanofibrous scaffold with higher PLGA ratio could significantly enhance hBMMSC proliferation and differentiation to chondrocytes. GRAPHICAL ABSTRACT
Post fire behaviour of innovative shear connection for composite steel-concrete structures

Steel-concrete composite structures are commonly used in buildings and bridges because it takes advantage of tensile strength of steel and compressive strength of concrete. The two components are often secured by shear connectors such as headed studs to prevent slippage and to maintain composite action. In spite of its popularity, very little research was conducted on steel-concrete composites particularly on headed stud shear connectors in regards to its post-fire behaviour. This research investigates the post-fire behaviour of innovative shear connectors for composite steel and concrete. Three type of connectors were investigated. They are conventional headed stud shear connectors, Blind Bolt 1 and Blind Bolt 2 blind bolts. Push-out test experimental studies were conducted to look at the behaviour and failure modes for each connector. Eighteen push tests were conducted according to Eurocode 4. The push test specimens were tested under ambient temperatures and post fire condition of 200 ̊C, 400 ̊C and 600 ̊C. The results in ambient temperature are used to derive the residual strength of shear connectors after exposing to fire. Findings from this research will provide fundamental background in designing steel-concrete composites where there is danger of fire exposure.
Interactive animation of ocean waves

We present an adaptive scheme for the interactive animation and display of ocean waves far from the coast. Relying on a procedural wave model, the method restricts computations to the visible part of the ocean surface, adapts the geometric resolution to the viewing distance and only considers the visible waves wavelengths. This yields real-time performances, even when the camera moves. The method allows the user to interactively fly over an unbounded animated ocean, which was not possible using previous approaches.
Feature Transformation by Function Decomposition

The function decomposition described can identify subsets of existing features and discover nongiven functions that map these subsets to a new feature, also, it can organize the existing and new features into a hierarchy. The authors demonstrate their Hierarchy Induction Tool (HINT) system on a housing loan-allocation application. Methods for switching circuit design often implicitly deal with feature transformation. Such methods construct a circuit to implement a given or partially given tabulated Boolean function. The authors' function-decomposition method can discover and construct a hierarchy of new features that one can add to the original dataset or transform into a hierarchy of less complex datasets. The method allows the decomposition to deal with nominal-feature (that is, not necessarily binary) functions.
Evaluating the performance of business service providers : developing a model from multiple case studies

Services have become an increasingly important part of many organizations' expenditures. At the same time, organizational buyers view the purchase of business services to be highly complex. The specific characteristics of services influence the purchasing process in the sense that certain steps in the purchasing process become more important, more difficult, or just different in comparison with purchasing the process for goods. This paper investigates the phase of ex post evaluation of suppliers of business services. Based on a literature review on supplier evaluation models, we identify three types of quality that are important in evaluating the performance of service suppliers. We then conduct an embedded case study to identify which of these quality types are most important for services for which the buying company pursues are more transactional approach, versus services for which a more relational view is adopted. The results of this embedded case study indicate that functional service quality (i.e. quality of the service process) and relationship quality are less important for services that are bought via a transactionoriented purchasing strategy than for services bought by a relation-oriented purchasing strategy.
Lookahead in Deterministic Left-Corner Parsing

To support incremental interpretation, any model of human sentence processing must not only process the sentence incrementally, it must to some degree restrict the number of analyses which it produces for any sentence prefix. Deterministic parsing takes the extreme position that there can only be one analysis for any sentence prefix. Experiments with an incremental statistical parser show that performance is severely degraded when the search for the most probable parse is pruned to only the most probable analysis after each prefix. One method which has been extensively used to address the difficulty of deterministic parsing is lookahead, where information about a bounded number of subsequent words is used to decide which analyses to pursue. We simulate the effects of lookahead by summing probabilities over possible parses for the lookahead words and using this sum to choose which parse to pursue. We find that a large improvement is achieved with one word lookahead, but that more lookahead results in relatively small additional improvements. This suggests that one word lookahead is sufficient, but that other modifications to our left-corner parsing model could make deterministic parsing more effective.