Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamic properties of AFM cantilevers and the calibration of their spring constants

A hybrid method is introduced for the calibration of the spring constants of atomic force microscopy cantilevers. It is based on the minimization of the difference between the modelled and experimentally determined full-field displacement maps of the surface of the cantilever in motion at several resonant frequencies. The dynamic mechanical response of the cantilever to periodic motion is measured in a vacuum by means of a scanning vibrometer. Given the dimensions of the cantilever, the obtained surface displacements together with analytical or numerical models are used to resolve the physical unknowns of the probe. These are the elastic properties of the cantilever, and the residual stress state built up during the deposition of the reflective coating on the backside of the cantilever. The scanning vibrometry experiment allows the precise determination of the first ten resonant frequencies and the modes associated. After optimization of the elastic properties and the surface stress, the relative agreement between all resonant frequencies is better than 1% with the finite element model and 2% with the Timoshenko beam equation. The agreement between surface displacements is also excellent when the damping constant of the system has been determined, except for the first lateral mode, which exhibits strong coupling to a reflection of the first torsional mode. Because all the displacements at resonance are known, it is possible to decouple these modes, and the result is shown to compare well with the model. The cantilever being fully characterized (geometry, materials, residual stress state and boundary conditions), it is straightforward to deduce all its spring constants, in the linear and nonlinear elastic regimes.
Influence of the ethanol added into petrol and diesel fuel

The paper deals with the problem scope of ethanol (as biologically decomposable compound) adding into petrol and diesel fuel on the final lubricity of motor fuels. It analyses the subject of tribology and automobile fuels in connection with modern technologies in construction of automobile engines. The mentioned properties and characteristics were measured by commonly used laboratory method on Plint TE 82 (PLINT & PARTNERS LTD). Measured data show, that diesel fuel with ethanol has better lubricity parameters and lubricity persists longer, than in case of petrol fuel with ethanol. One problem occurred, when diesel fuel was mixed with ethanol, which contained more then 0,5 % of water. This problem was solved by eliminating of the water from ethanol, eventually the suitable solubility additive is recommended.
Estimating emotion regulation capabilities

To improve the performance and wellbeing of humans in complex human-computer interaction settings, ambient (or pervasive) systems need the capability to recognize the emotions of humans, but also the ability to reason about their emotion regulation processes. To this end, this paper introduces a computational model to estimate and reason about emotion regulation. The model has been implemented and tested using the high-level modeling language LEADSTO. A first evaluation indicates that the model is successful in estimating a person's emotion regulation dynamics, and is robust to different parameter settings.
Foreign Demand for Domestic Currency and the Optimal Rate of Inflation

More than half of U.S. currency circulates abroad. As a result, much of the seignorage income of the United States is generated outside of its borders. In this paper we characterize the Ramsey-optimal rate of inflation in an economy with a foreign demand for its currency. In the absence of such demand, the model implies that the Friedman rule--deflation at the real rate of interest--maximizes the utility of the representative domestic consumer. We show analytically that once a foreign demand for domestic currency is taken into account, the Friedman rule ceases to be Ramsey optimal. Calibrated versions of the model that match the range of empirical estimates of the size of foreign demand for U.S. currency deliver Ramsey optimal rates of inflation between 2 and 10 percent per annum. The domestically benevolent government finds it optimal to impose an inflation tax as a way to extract resources from the rest of the world in the form of seignorage revenue.
Corporate Investment Over the Business Cycle

The average capital growth rate across firms declines sharply during a recession, and recovers only slowly. We provide a micro-founded explanation for this and several new stylized facts of investment asymmetry. Our investment model features various degrees of reversibility, cyclical macroeconomic shocks, and uncertainty about the state of the economy. Model simulations replicate strikingly different empirical patterns of capital growth rates at the aggregate and firm levels, featuring no slope asymmetry and a positive level asymmetry at the firm level, negative slope and level asymmetries at the aggregate level, and a positive relation between the industry-level slope asymmetry and asset illiquidity.
Training and Feedback Optimization for Multiuser MIMO Downlink

We consider a MIMO fading broadcast channel where the fading channel coefficients are constant over time-frequency blocks that span a coherent time x a coherence bandwidth. In closed-loop systems, channel state information at transmitter (CSIT) is acquired by the downlink training sent by the base station and an explicit feedback from each user terminal. In open-loop systems, CSIT is obtained by exploiting uplink training and channel reciprocity. We use closed-form lower bounds and tight approximations of the ergodic achievable rate in the presence of CSIT errors in order to optimize the overall system throughput, by taking explicitly into account the overhead due to channel estimation and channel state feedback. Based on three time-frequency block models inspired by actual systems, we provide useful guidelines for the overall system optimization. In particular, digital (quantized) feedback is found to offer a substantial advantage over analog (unquantized) feedback.
A robust linear-parabolic model for lane following

In this paper we address the problem of lane detection and lane tracking. A linear model is used to approximate lane boundaries in the first frame of a video sequence, using a combination of the edge distribution function and the Hough transform. A new linear-parabolic model is used in the subsequent frames: the linear part of the model is used to fit the near vision field, while the parabolic model fits the far field. The proposed technique demands low computational power and memory requirements, and showed to be robust in the presence of noise, shadows, lack of lane painting and change of illumination conditions.
Refinements to Interactive Translation Prediction Based on Search Graphs

We propose a number of refinements to the canonical approach to interactive translation prediction. By more permissive matching criteria, placing emphasis on matching the last word of the user prefix, and dealing with predictions to partially typed words, we observe gains in both word prediction accuracy (+5.4%) and letter prediction accuracy (+9.3%).
Micropatterning of Porous Silicon Films by Direct Laser Writing

In this study, we demonstrate that porous silicon films can be ablated by the pulsed nitrogen laser of a commercial MALDI mass spectrometer. The extent of laser‐induced ablation was found to depend on the doping level and surface chemistry of the porous silicon film. Using direct laser writing with or without a mask, micropatterns were generated on the porous silicon surface. These micropatterns were subsequently used to guide the growth of mammalian cells including neuroblastoma. Excellent selectivity of cell growth toward the laser‐ablated regions was established.
Heuristic Search Planning with BDDs

In this paper we study traditional and enhanced BDD- based exploration procedures capable of handling large planning problems. On the one hand, reachability analysis and model checking have eventually approached AI-Planning. Unfortunately, they typi- cally rely on uninformed blind search. On the other hand, heuris- tic search and especially lower bound techniques have matured in effectively directing the exploration even for large problem spaces. Therefore, with heuristic symbolic search we address the unexplored middle ground between single state and symbolic planning engines to establish algorithms that can gain from both sides. To this end we implement and evaluate heuristics found in state-of-the-art heuristic single-state search planners.
Splenic parenchymal complications in pancreatitis.

CONTEXT The close proximity of splenic hilum to the tail of pancreas makes it vulnerable to complications in both acute and chronic pancreatitis. In this article, we examine the clinical course of these potentially fatal complications. CASE REPORTS Citing three clinical cases, we present the spectrum of splenic complications in pancreatitis and explore the anatomical causal relationships and pathological basis of such complications. A literature review was carried out to inform on the incidence, morbidity and mortality rates, and clinical course especially diagnostic and management options for these patients. The spectrum of splenic complications in pancreatitis is wide ranging from pseudo cysts to haematomas, haemorrhages, infarctions and life threatening splenic rupture. Although a contrast enhanced helical CT scan is the investigation of choice a high index of clinical suspicion is essential in their early identification. Splenic complications in pancreatitis incur a high morbidity (79%) and a significant mortality (8%). CONCLUSIONS Splenic parenchymal complications in pancreatitis are an increasingly recognised entity and should be suspected in patients with inflammation and or necrosis involving the tail of pancreas. Conservative management is feasible with close radiological monitoring for most patients in a tertiary referral centre with appropriate expertise and surgery may be reserved for haemodynamically unstable patients.
DESIGNING FOR INNOVATION - Using Enterprise Ontology Theory to Improve Business-IT Alignment

In today’s economy, innovation plays an increasingly important role in the strategy of organizations. Managers therefore need to understand and be able to manage the innovation process. The recent research efforts in the enterprise architecture domain are very relevant in this regard. Most of these frameworks acknowledge the importance of aligning the information technology (IT) infrastructure with the enterprise architecture. In this paper, we focus on a case of an organization that was able to realize substantial business innovation by aligning its IT architecture to its enterprise architecture. Notwithstanding the successful outcome of this enterprise architecture project, the approach taken by the organization strongly relied on the heuristic knowledge of employees, thereby limiting the repeatability and reproducibility of their approach. In addition, it remains unclear whether the modeling technique that was used will be able to provide the required level of evolvability in the future. It therefore seems useful to apply a systematic method to be able to recreate these results in other organizations. We therefore take a design science approach by repeating the enterprise architecture project using the Enterprise Ontology theory. Our results show that the model created by following the Enterprise Ontology theory was very similar to the model created by the organization, which is a desirable result. The main advantage of Enterprise Ontology is that it provides a more repeatable and reproducible result and that the resulting models are more evolvable.
Growing applications of FDG PET-CT imaging in non-oncologic conditions

Abstract As the number of clinical applications of 2-[fluorine 18]fluoro-2-deoxy-D-glucose (FDG) positron emission tomography/computed tomography (PET-CT) grows, familiarity with the conditions that can be diagnosed by this modality and when relevant pieces of additional information can be obtained becomes increasingly important for both requesting physicians and nuclear medicine physicians or radiologists who interpret the findings. Apart from its heavy use in clinical oncology, FDG PET-CT is widely used in a variety of non-oncologic conditions interconnecting to such disciplines as general internal medicine, infectious diseases, cardiology, neurology, surgery, traumatology, orthopedics, pediatrics, endocrinology, rheumatology, psychiatry, neuropsychology, and cognitive neuroscience. The aim of this review was to summarize the current evidence of FDG PET-CT applications in evaluating non-oncologic pathologies and the relevant information it can add to achieve a final diagnosis.
Abstract—this Paper Presents a 3d Lane Detection Method Based on Stereovision. the Stereovision Algorithm Allows the Elimination of the Common Assumptions: Flat Road, Constant

pitch angle or absence of roll angle. Moreover, the availability of 3D information allows the separation between the road and the obstacle features. The lane is modeled as a 3D surface, defined by the vertical and horizontal clothoid curves, the lane width and the roll angle. The lane detection is integrated into a tracking process. The current lane parameters are predicted using the past parameters and the vehicle dynamics, and this prediction provides search regions for the current detection. The detection starts with estimation of the vertical profile, using the stereo-provided 3D information, and afterwards the horizontal profile is detected using a model-matching technique in the image space, using the knowledge of the already detected vertical profile. The roll angle is detected last, by estimating the difference of the average heights of the left and right lane borders. The detection results are used to update the lane state through Kalman filtering.
Control-as-a-service from the cloud: A case study for using virtualized PLCs

Cloud computing has recently emerged as a new computing paradigm in many application areas comprising office and enterprise systems. It offers various solutions to provide a dynamic and flexible infrastructure to host computing resources and deliver them as a service on-demand. Since industrial automation systems of the future have to be adaptable and agile, cloud computing can be considered as a promising solution for this area. However, the requirements of industrial automation systems differ significantly from the office and enterprise world. In this paper we describe a case study that implements a concept of PLC as a service within a cloud based infrastructure and provides a performance evaluation with respect to legacy PLCs.
Smooth uniform crossover, sub-machine code GP and demes: a recipe for solving high-order Boolean parity problems

We describe a recipe to solve very large parity problems using GP. The recipe includes: smooth uniform crossover (a crossover operator inspired by our theoretical research), sub-machine-code GP (a technique to speed up fitness evaluation in Boolean classification problems), and interacting demes (sub-populations) running on separate workstations. We tested this recipe on parity problems with up to 22 input variables, solving them with a very high success probability.
Pulmonary Hypertension in Dialysis Patients: A Cross-Sectional Italian Study

Introduction. Pulmonary hypertension (PHT) is an independent predictor of mortality. The aim of this study was to relate pulmonary arterial pressure (PAP) to the cardiovascular status of dialysis patients. Methods. 27 peritoneal dialysis (PD) and 29 haemodialysis (HD) patients (60 ± 13 years, 37 males, dialysis vintage was 40 ± 48 months) had PAP measured by echocardiography. Clinical and laboratory data of the patients were recorded. Results. PHT (PAP > 35 mmHg) was detected in 22 patients (39%; PAP 42 ± 6 mmHg) and was diagnosed in 18.5% of PD patients and 58.6% of HD patients (P = .0021). The group of subjects with PH had higher dialysis vintage (63 ± 60 versus 27 ± 32 months, P = .016), interdialytic weight gain (2.1 ± 1 versus 1.3 ± 0.9 Kg, P = .016), lower diastolic blood pressure (73 ± 12 versus 80 ± 8 mmHg, P = .01) and ejection fraction (54 ± 13 versus 60 ± 7%, P = .021) than the patients with normal PAP. PAP was correlated positively with diastolic left ventricular volume (r = 0.32, P = .013) and negatively with ejection fraction (r = −0.54, P < .0001). PHT was independently associated with dialysis vintage (OR 1.022, 95% CI 1.002–1.041, P = .029) and diastolic blood pressure (OR 0.861, 95% CI 0.766–0.967, P = .011). Conclusions. PHT is frequent in dialysis patients, it appears to be a late complication of HD treatment, mainly related to cardiac performance and cardiovascular disease history.
Automatic verb classification using multilingual resources

We propose the use of multilingual corpora in the automatic classification of verbs. We extend the work of (Merlo and Stevenson, 2001), in which statistics over simple syntactic features extracted from textual corpora were used to train an automatic classifier for three lexical semantic classes of English verbs. We hypothesize that some lexical semantic features that are difficult to detect superficially in English may manifest themselves as easily extractable surface syntactic features in another language. Our experimental results combining English and Chinese features show that a small bilingual corpus may provide a useful alternative to using a large monolingual corpus for verb classification.
Modular Representations of Graphs

A graph G has a representation modulo r if there exists an injective map f : V (G) → {0, 1, . , r − 1} such that vertices u and v are adjacent if and only if f(u) − f(v) is relatively prime to r. The representation number of G, rep(G), is the smallest integer such that G has a representation modulo r. In this paper we study the representation numbers of various graphs, such as the complete ternary tree and Harary graphs. We also give a sharp upper bound for the representation number of a connected graph G.
Dielectric characterization of nonlinear optical polymers

Two nonlinear optical polymers, containing the active molecules in the main-chain and in the side-chain, have been characterized by dielectric spectroscopy in the frequency range from 0.05 Hz to 10 kHz. It is shown that dielectric spectroscopy is a powerful technique to monitor the mobility (relaxation) of active molecules. From the results a estimation about the poling temperature and -time can be made. In addition, the influence of absorbed water on the relaxation is established as well as the effect of UV-light exposure on the chromophores.
Decentralized Time-Based Target Searching Algorithm Using Sensor Network Topology Maps

Real-time target search path planning is a ubiquitous problem present in various areas such as search and rescue, military, and security. In this paper, we consider a search for a static target and a moving target in an unknown environment full of obstacles. The knowledge of target location or direction is obtained by time sets recorded by each sensor node to specify the time instances that the target moved in its sensing region. Our objective is to find the shortest feasible path in a decentralized procedure. The search is conducted by a mobile agent that performs all decision-making procedures based on its local neighborhood sensor information, such as location and the time that the target was seen. A proposed topology map algorithm that does not need any special hardware device embedded with the sensors obtains the sensor locations. The result shows that the proposed algorithm has been able to find the moving target that changes its moving pattern during the search. In addition, the mobile agent avoids the obstacles and searches for the target in an effective way.
Why Fodor and Pylyshyn Were Wrong: The Simplest Refutation

This paper offers both a theoretical and an experimental perspective on the relationship between connectionist and Classical (symbol-processing) models. Firstly, a serious flaw in Fodor and Pylyshyn’s argument against connectionism is pointed out: if, in fact, a part of their argument is valid, then it establishes a conclusion quite different from that which they intend, a conclusion which is demonstrably false. The source of this flaw is traced to an underestimation of the differences between localist and distributed representation. It has been claimed that distributed representations cannot support systematic operations, or that if they can, then they will be mere implementations of traditional ideas. This paper presents experimental evidence against this conclusion: distributed representations can be used to support direct structure-sensitive operations, in a manner quite unlike the Classical approach. Finally, it is argued that even if Fodor and Pylyshyn’s argument that connectionist models of compositionality must be mere implementations were correct, then this would still not be a serious argument against connectionism as a theory of mind.
Evidence for a Priori Existence of Attentional Bias Subgroups in Emotional Processing of Aversive Stimuli

Little is known regarding inter-individual differences in attentional biases for pain-related information; more knowledge is crucial, since these biases have been associated with differences in pain processing as well as in predicting the risk of postoperative pain. The present study investigated EEG correlates of attentional bias patterns for pain-related information, with specific focus on avoidance- and vigilance-like behavior. Forty-one participants performed a dot-probe task, where neutral and pain-related words were used to create neutral, congruent, incongruent, and double (two pain-related words) trials. EEG was recorded, which was used to generate ERP's of the word-processing phase and the post-dot phase. Participants were placed in two subgroups based on the direction of their attentional bias (either positive; toward the pain-related words, or negative; away from pain-related words). Using t-profiles, four latency windows were identified on which the two subgroups differed significantly. These latency windows yield areas which correspond with the P1-N1 domain and the P3b for the word-processing phase, while the post-dot phase latency windows cover the areas of the P200 and the P3b. The two subgroups show differences on congruent, incongruent, and the double trials, but interestingly also on the neutral trials. Most notably, the area in the word-phase associated with the P3b is diminished in the subgroup showing a negative bias. The deflections associated with both early and late attentional components, including the P3B, as well as a positive deflection in the timeframe of proposed response evaluation processes differ significantly between subgroups. In this study we demonstrated that different attentional biases exist in the healthy population, by showing differences in ERP's. We also show differences in processing neutral trials, which suggests there are fundamental differences between these groups in processing words in general.
Analysis of Significant Prognostic Factors of Patients with Bladder Cancer Using Self-Organizing Maps

This study presents a new approach to determine significant prognostic factors for patients suffering from the bladder cancer. The analysis of medical data has been performed by the use of the Kohonen self-organizing map (SOM). The SOM allows visualizing and identifying the prognostic factors indicating which of them are significant. A database comprised of ninety patients has been used in this study. Seven predictors were investigated. The cluster analysis indicates that the significant prognostic factors for the bladder cancer are: histological grade (cG) and stage (cT). The obtained results also showed that the sex and the cG variables are highly correlated and that the number of non-classic differentiation (NDNc) features in bladder cancer is somewhat correlated to surgically removed lymphnode number (LN) and metastatic positive lymphnode number (PLN).