Miracle-dz/UniFAR-FTUs huggingface dataset:
Hybrid partial order reduction with under-approximate dynamic points-to and determinacy information

Verification techniques for concurrent systems are often based on systematic state space traversal. An important piece of such techniques is partial order reduction (POR). Many algorithms of POR have been already developed, each having specific advantages and drawbacks. For example, fully dynamic POR is very precise but it has to check every pair of visible actions to detect all interferences. Approaches involving static analysis can exploit knowledge about future behavior of program threads, but they have limited precision. We present a new hybrid POR algorithm that builds upon (i) dynamic POR and (ii) hybrid field access analysis that combines static analysis with data taken on-the-fly from dynamic program states. The key feature of our algorithm is usage of under-approximate dynamic points-to and determinacy information, which is gradually refined during a run of the state space traversal procedure. Knowledge of dynamic points-to sets for local variables improves precision of the field access analysis. Our experimental results show that the proposed hybrid POR achieves better performance than existing techniques on selected benchmarks, and it enables fast detection of concurrency errors.
School Collective Efficacy and Bullying Behaviour: A Multilevel Study

As with other forms of violent behaviour, bullying is the result of multiple influences acting on different societal levels. Yet the majority of studies on bullying focus primarily on the characteristics of individual bullies and bullied. Fewer studies have explored how the characteristics of central contexts in young people’s lives are related to bullying behaviour over and above the influence of individual-level characteristics. This study explores how teacher-rated school collective efficacy is related to student-reported bullying behaviour (traditional and cyberbullying victimization and perpetration). A central focus is to explore if school collective efficacy is related similarly to both traditional bullying and cyberbullying. Analyses are based on combined information from two independent data collections conducted in 2016 among 11th grade students (n = 6067) and teachers (n = 1251) in 58 upper secondary schools in Stockholm. The statistical method used is multilevel modelling, estimating two-level binary logistic regression models. The results demonstrate statistically significant between-school differences in all outcomes, except traditional bullying perpetration. Strong school collective efficacy is related to less traditional bullying perpetration and less cyberbullying victimization and perpetration, indicating that collective norm regulation and school social cohesion may contribute to reducing the occurrence of bullying.
Tree automata techniques and applications

CONTENTS 7 Acknowledgments Many people gave substantial suggestions to improve the contents of this book. These are, in alphabetic order, Introduction During the past few years, several of us have been asked many times about references on finite tree automata. On one hand, this is the witness of the liveness of this field. On the other hand, it was difficult to answer. Besides several excellent survey chapters on more specific topics, there is only one monograph devoted to tree automata by Gécseg and Steinby. Unfortunately, it is now impossible to find a copy of it and a lot of work has been done on tree automata since the publication of this book. Actually using tree automata has proved to be a powerful approach to simplify and extend previously known results, and also to find new results. For instance recent works use tree automata for application in abstract interpretation using set constraints, rewriting, automated theorem proving and program verification, databases and XML schema languages. Tree automata have been designed a long time ago in the context of circuit verification. Many famous researchers contributed to this school which was headed by A. Church in the late 50's and the early 60's: B. Trakhtenbrot, Many new ideas came out of this program. For instance the connections between automata and logic. Tree automata also appeared first in this framework, following the work of Doner, Thatcher and Wright. In the 70's many new results were established concerning tree automata, which lose a bit their connections with the applications and were studied for their own. In particular, a problem was the very high complexity of decision procedures for the monadic second order logic. Applications of tree automata to program verification revived in the 80's, after the relative failure of automated deduction in this field. It is possible to verify temporal logic formulas (which are particular Monadic Second Order Formulas) on simpler (small) programs. Automata, and in particular tree automata, also appeared as an approximation of programs on which fully automated tools can be used. New results were obtained connecting properties of programs or type systems or rewrite systems with automata. Our goal is to fill in the existing gap and to provide a textbook which presents the basics of tree automata and several variants of tree automata which have been devised for applications in the aforementioned domains. We shall discuss only finite tree automata, and the …
KLD-Sampling: Adaptive Particle Filters and Mobile Robot Localization

We present a statistical approach to adapting the sample set size of particle filters on-thefly. The key idea of the KLD-sampling method is to bound the err or introduced by the samplebased representation of the particle filter. Thereby, our ap p oach chooses a small number of samples if the density is focused on a small subspace of the st ate space, and it chooses a large number of samples if the state uncertainty is high. Both the i mplementation and computation overhead of this approach are small. Extensive experiments using mobile robot localization as a test application show that our approach yields drastic imp rovements over particle filters with fixed sample set sizes and over a previously introduced adapt tion technique.
Electrophysiological evidence of alterations to the nucleus accumbens and dorsolateral striatum during chronic cocaine self‐administration

As drug use becomes chronic, aberrant striatal processing contributes to the development of perseverative drug‐taking behaviors. Two particular portions of the striatum, the nucleus accumbens (NAc) and the dorsolateral striatum (DLS), are known to undergo neurobiological changes from acute to chronic drug use. However, little is known about the exact progression of changes in functional striatal processing as drug intake persists. We sampled single‐unit activity in the NAc and DLS throughout 24 daily sessions of chronic long‐access cocaine self‐administration, and longitudinally tracked firing rates (FR) specifically during the operant response, an upward vertical head movement. A total of 103 neurons were held longitudinally and immunohistochemically localised to either NAc Medial Shell (n = 29), NAc Core (n = 30), or DLS (n = 54). We modeled changes representative of each category as a whole. Results demonstrated that FRs of DLS Head Movement neurons were significantly increased relative to baseline during all sessions, while FRs of DLS Uncategorised neurons were significantly reduced relative to baseline during all sessions. NAc Shell neurons' FRs were also significantly decreased relative to baseline during all sessions while FRs of NAc Core neurons were reduced relative to baseline only during training days 1–18 but were not significantly reduced on the remaining sessions (19–24). The data suggest that all striatal subregions show changes in FR during the operant response relative to baseline, but longitudinal changes in response firing patterns were observed only in the NAc Core, suggesting that this region is particularly susceptible to plastic changes induced by abused drugs.
Francisella tularensis Replicates within Alveolar Type II Epithelial Cells In Vitro and In Vivo following Inhalation

ABSTRACT Francisella tularensis replicates in macrophages and dendritic cells, but interactions with other cell types have not been well described. F. tularensis LVS invaded and replicated within alveolar epithelial cell lines. Following intranasal inoculation of C57BL/6 mice, Francisella localized to the alveolus and replicated within alveolar type II epithelial cells.
Continuous glucose monitoring by means of the microdialysis technique: underlying fundamental aspects.

The microdialysis technique allows extraction of substances (e.g., glucose) from fluids in the human body for quantitative measurements ex vivo. The microdialysis catheter can be inserted in many different tissues; for continuous glucose monitoring it is most often implanted in the subcutaneous fat tissue in the abdominal region. Perfusion of the thin catheter with an isotonic solution without glucose leads to a diffusion of glucose available in the interstitial fluid along the concentration gradient across the semipermeable membrane into the catheter. The glucose levels in the dialysate are measured quantitatively outside the body by means of specific sensors. A number of factors have a profound impact on the amount of glucose extracted (i.e., the glucose levels in the dialysate can be considerably lower than that in the interstitial fluid). However, as long as this proportion remains constant (independent of the prevailing glucose level), the sensor signal, which is related to the glucose level in the interstitial fluid, can be calibrated to the blood glucose level by means of a conventional blood glucose measurement. The microdialysis systems that are commercially available or in clinical development allow (after a run-in phase of some hours) continuous glucose monitoring with a good reliability over several days. Insertion of the microdialysis catheters cannot be performed by the patients themselves but requires professional help. From a technological point of view the microdialysis technique is demanding; consequently the costs of continuous glucose monitoring using this approach are considerable. However, further developments probably will allow development of cheaper patient self-care systems that can be used for longer periods of time.
Which Parameters Control the Leg Movement of a Walking Insect?: I. Velocity Control during the Stance Phase

SUMMARY In treadwheel walking, the front and middle legs of the stick insect {Carausius morosus) propel the wheel, while the hind legs exert very little force and can even decelerate the wheel. This result is compared with observations on the function of the legs in different walking situations. Several hypotheses assuming different types of position servo-mechanisms have been proposed in the literature on the control of leg movement during walking in insects. The experimental results support none of these hypotheses. Instead, they indicate that velocity rather than position is the variable controlled during the stance phase.
Domestic ventilation rates, indoor humidity and dust mite allergens: are our homes causing the asthma pandemic?

This paper is concerned with historical changes in domestic ventilation rates, relative humidity and the associated risk of house dust mite colonization. A controlled trial evaluated allergen and water vapour control measures on the level of house dust mite (HDM) Der p1 allergen and indoor humidity, concurrently with changes in lung function in 54 subjects who completed the protocol. Mechanical heat recovery ventilation units significantly reduced moisture content in the active group, while HDM allergen reservoirs in carpets and beds were reduced by circa 96%. Self reported health status confirmed a significant clinical improvement in the active group. The study can form the basis for assessing minimum winter ventilation rates that can suppress RH below the critical ambient equilibrium humidity of 60% and thus inhibit dust mite colonization and activity in temperate and maritime in‘ uenced climatic regions.
A novel variable stiffness mechanism for dielectric elastomer actuators

In this paper, a novel variable stiffness mechanism is proposed for the design of a variable stiffness dielectric elastomer actuator (VSDEA) which combines a flexible strip with a DEA in a dielectric elastomer minimum energy structure. The DEA induces an analog tuning of the transverse curvature of the strip, thus conveniently providing a voltage-controllable flexural rigidity. The VSDEA tends to be a fully flexible and compact structure with the advantages of simplicity and fast response. Both experimental and theoretical investigations are carried out to reveal the variable stiffness performances of the VSDEA. The effect of the clamped location on the bending stiffness of the VSDEA is analyzed, and then effects of the lengths, the loading points and the applied voltages on the bending stiffness are experimentally investigated. An analytical model is developed to verify the availability of this variable stiffness mechanism, and the theoretical results demonstrate that the bending stiffness of the VSDEA decreases as the applied voltage increases, which agree well with the experimental data. Moreover, the experimental results show that the maximum change of the relative stiffness can reach about 88.80%. It can be useful for the design and optimization of active variable stiffness structures and DEAs for soft robots, vibration control, and morphing applications.
Tiling of the body wall by multidendritic sensory neurons in Manduca sexta

A plexus of multidendritic sensory neurons, the dendritic arborization (da) neurons, innervates the epidermis of soft‐bodied insects. Previous studies have indicated that the plexus may comprise distinct subtypes of da neurons, which utilize diverse cyclic 3′,5′‐guanosine monophosphate signaling pathways and could serve several functions. Here, we identify three distinct classes of da neurons in Manduca, which we term the alpha, beta, and gamma classes. These three classes differ in their sensory responses, branch complexity, peripheral dendritic fields, and axonal projections. The two identified alpha neurons branch over defined regions of the body wall, which in some cases correspond to specific natural folds of the cuticle. These cells project to an intermediate region of the neuropil and appear to function as proprioceptors. Three beta neurons are characterized by long, sinuous dendritic branches and axons that terminate in the ventral neuropil. The function of this group of neurons is unknown. Four neurons belonging to the gamma class have the most complex peripheral dendrites. A representative gamma neuron responds to forceful touch of the cuticle. Although the dendrites of da neurons of different classes may overlap extensively, cells belonging to the same class show minimal dendritic overlap. As a result, the body wall is independently tiled by the beta and gamma da neurons and partially innervated by the alpha neurons. These properties of the da system likely allow insects to discriminate the quality and location of several types of stimuli acting on the cuticle. J. Comp. Neurol. 440:271–283, 2001. © 2001 Wiley‐Liss, Inc.
Adapting the PULS event extraction framework to analyze Russian text

This paper describes a plug-in component to extend the PULS information extraction framework to analyze Russian-language text. PULS is a comprehensive framework for information extraction (IE) that is used for analysis of news in several scenarios from English-language text and is primarily monolingual. Although monolinguality is recognized as a serious limitation, building an IE system for a new language from the bottom up is very labor-intensive. Thus, the objective of the present work is to explore whether the base framework can be extended to cover additional languages with limited effort, and to leverage the preexisting PULS modules as far as possible, in order to accelerate the development process. The component for Russian analysis is described and its performance is evaluated on two news-analysis scenarios: epidemic surveillance and cross-border security. The approach described in the paper can be generalized to a range of heavilyinflected languages.
Zinc Transporter 8 Autoantibodies and Their Association With SLC30A8 and HLA-DQ Genes Differ Between Immigrant and Swedish Patients With Newly Diagnosed Type 1 Diabetes in the Better Diabetes Diagnosis Study

We examined whether zinc transporter 8 autoantibodies (ZnT8A; arginine ZnT8-RA, tryptophan ZnT8-WA, and glutamine ZnT8-QA variants) differed between immigrant and Swedish patients due to different polymorphisms of SLC30A8, HLA-DQ, or both. Newly diagnosed autoimmune (≥1 islet autoantibody) type 1 diabetic patients (n = 2,964, <18 years, 55% male) were ascertained in the Better Diabetes Diagnosis study. Two subgroups were identified: Swedes (n = 2,160, 73%) and immigrants (non-Swedes; n = 212, 7%). Non-Swedes had less frequent ZnT8-WA (38%) than Swedes (50%), consistent with a lower frequency in the non-Swedes (37%) of SLC30A8 CT+TT (RW+WW) genotypes than in the Swedes (54%). ZnT8-RA (57 and 58%, respectively) did not differ despite a higher frequency of CC (RR) genotypes in non-Swedes (63%) than Swedes (46%). We tested whether this inconsistency was due to HLA-DQ as 2/X (2/2; 2/y; y is anything but 2 or 8), which was a major genotype in non-Swedes (40%) compared with Swedes (14%). In the non-Swedes only, 2/X (2/2; 2/y) was negatively associated with ZnT8-WA and ZnT8-QA but not ZnT8-RA. Molecular simulation showed nonbinding of the relevant ZnT8-R peptide to DQ2, explaining in part a possible lack of tolerance to ZnT8-R. At diagnosis in non-Swedes, the presence of ZnT8-RA rather than ZnT8-WA was likely due to effects of HLA-DQ2 and the SLC30A8 CC (RR) genotypes.
Participation, Feedback & Incentives in a Competitive Forecasting Community

Macroeconomic forecasts are used extensively in industry and government despite the lack of accuracy and reliability. Prediction markets as a community forecasting method have begun to gain interest in academia industry alike. An open question is how to design incentive schemes and feedback mechanisms to motivate online communities to contribute and thereby increase the predictive power of the market. We design a prediction market for macroeconomic variables that aggregates information from a cross-section of participants. We analyze participation and feedback in this online community. We show that a weekly newsletter that acts as a reminder drives participation. In public goods projects participation feedback has been found to increase participants' contributions. We find that the competition inherent in markets appears to dominate classical feedback mechanisms. We show that forecast errors fall over the prediction horizon. The market-generated forecasts compare well with the Bloomberg- survey forecasts, the industry standard. Additionally we can predict community forecast error using an implicit market measure.
Endothelial Cells' Activation and Apoptosis Induced by a Subset of Antibodies against Human Cytomegalovirus: Relevance to the Pathogenesis of Atherosclerosis

Background Human cytomegalovirus (hCMV) is involved in the pathogenesis of atherosclerosis. We have previously shown in patients with atherosclerosis that antibodies directed against the hCMV-derived proteins US28 and UL122 are able to induce endothelial cell damage and apoptosis of non-stressed endothelial cells through cross-rection with normally expressed surface molecules. Our aim was to dissect the molecular basis of such interaction and to investigate mechanisms linking innate immunity to atherosclerosis. Methodology/Principal Findings We analysed the gene expression profiles in endothelial cells stimulated with antibodies affinity-purified against either the UL122 or the US28 peptides using the microarray technology. Microarray results were validated by quantitative PCR and by detection of proteins in the medium. Supernatant of endothelial cells incubated with antibodies was analysed also for the presence of Heat Shock Protein (HSP)60 and was used to assess stimulation of Toll-Like Receptor-4 (TLR4). Antibodies against UL122 and US28 induced the expression of genes encoding for adhesion molecules, chemokines, growth factors and molecules involved in the apoptotis process together with other genes known to be involved in the initiation and progression of the atherosclerotic process. HSP60 was released in the medium of cells incubated with anti-US28 antibodies and was able to engage TLR4. Conclusions/Significance Antibodies directed against hCMV modulate the expression of genes coding for molecules involved in activation and apoptosis of endothelial cells, processes known to play a pivotal role in the pathogenesis of atherosclerosis. Moreover, endothelial cells exposed to such antibodies express HSP60 on the cell surface and release HSP60 in the medium able to activate TLR4. These data confirm that antibodies directed against hCMV-derived proteins US28 and UL122 purified from patients with coronary artery disease induce endothelial cell damage and support the hypothesis that hCMV infection may play a crucial role in mediating the atherosclerotic process.
Using Wavelets for Compression and Multiresolution Search with Active Appearance Models

Active Appearance Models (AAMs) provide a method of modelling the appearance of objects in images and locating them automatically. Although the AAM approach is computationally eAEcient, the models used to search unseen images for the structures of interest are large typically the size of 100 images. This is perfectly practical for most 2-D images, but is currently impractical for 3-D images. We present a method for compressing the model information using a wavelet transform. The transform is applied to a set of training images in a shapenormalised frame, and coeAEcients of low variance across the training set are removed to reduce the information stored. An AAM is built from the training set using the wavelet coeAEcients rather than the raw intensities. We show that reliable image interpretation results can be obtained at a compression ratio of 20:1, which is suAEcient to make 3-D AAMs a practical proposition.
Metadata characteristics as predictors for editor selectivity in a current awareness service

RePEc is a large digital library for the economics community. “NEP: New Economics Papers” is a current awareness service for recent additions to RePEc. The service is run by volunteer editors. They filter new additions to RePEc into subject-specific reports. The intended purpose of this current awareness service is to filter papers by subject matter without any judgment of their academic quality. We use binary logistic regression analysis to estimate the probability of a paper being included in any of the subject reports as a function of a range of observable variables. Our analysis suggests that, contrary to their own claims, editors use quality criteria. These include the reputation of the series as well as the reputation of the authors. Our findings suggest that a current awareness service can be used as a first step of a peer-review process.
Hole-Filling Algorithm with Spatio-Temporal Background Information for View Synthesis

This paper presents a new hole-filling method that uses extrapolated spatio-temporal background information to obtain a synthesized free-view. A new background codebook for extracting reliable temporal background information is introduced. In addition, the paper addresses estimating spatial local background to distinguish background and foreground regions so that spatial background information can be extrapolated. Background holes are filled by combining spatial and temporal background information. Finally, exemplar-based inpainting is applied to fill in the remaining holes using a new priority function. The experimental results demonstrated that satisfactory synthesized views can be obtained using the proposed algorithm. key words: hole-filling, spatio-temporal background information, background codebook, spatial local background estimation, priority function