Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of the bandwidth on the accuracy of AOA estimation algorithms in a multipath environment

This paper investigates the effect of channel bandwidth on the accuracy of AOA estimation algorithms based on the detection of the direct path. The accurate detection of the Line of Sight (LOS) signal in a multipath environment is crucial for reliable direction finding. In this work, the estimation algorithms are applied to the LOS component in the time domain channel impulse response which is acquired by applying the inverse Fourier transform to the simulated channel transfer function in the desired bandwidth. Different channel bandwidths as well as two AOA estimation methods have been considered in the modelling to investigate the performance of the standard deviation of angle estimation error. It has been shown that increasing the bandwidth in all simulated channel scenarios improves the estimation accuracy.
Browsing Large Concept Lattices through Tree Extraction and Reduction Methods

Browsing concept lattices from Formal Concept Analysis FCA becomes a problem as the number of concepts can grow significantly with the number of objects and attributes. Interpreting the lattice through direct graph-based visualisation of the Hasse diagram rapidly becomes difficult and more synthetic representations are needed. In this work the authors propose an approach to simplify concept lattices by extracting and visualising trees derived from them. The authors further simplify the browse-able trees with two reduction methods: fault-tolerance and concept clustering.
Estimation embarquée des efforts verticaux et latéraux d'un véhicule pour le diagnostic du comportement sur route

Vehicle dynamics and stability have been of considerable interest to automotive engineers, automobile manufacturers, government, public safety groups, and general public for a number of years. The obvious dilemma is that people naturally desire to drive faster and faster on the roads and highways, yet they expect their vehicles to be ”infinitely” stable and safe during all normal and emergency maneuvers. For the most part, people pay little attention to the limited handling potential of their vehicles until some unusual behavior is observed that often results in fatality. Preventing these accidents requires to know what determines vehicle dynamics during motion. Over the past few decades, vehicle control systems have been developed to enhance vehicle handling and passengers safety. These systems seek to prevent unintended vehicle behavior through active vehicle control, assisting drivers in maintaining control of their vehicles. Unfortunately, these systems are limited by the lack of knowledge of the vehicle’s state and operating conditions. While some vehicle’s states such as yaw rate, wheel speeds, longitudinal and lateral accelerations are currently available from existing ESP system, other fundamental parameters are unmeasurable for both technical and economical reasons. For example, although the vehicle is governed by the forces generated between the tires and the road, knowledge of individual tire/road forces is largely unavailable for current safety systems. Besides, the vehicle’s sideslip angle, which relates its lateral velocity to its longitudinal velocity, is an important stability factor that is also missed for vehicle control systems. If onboard systems had accurate knowledge of body sideslip angle and individual tire forces in each direction (vertical, lateral and longitudinal), control systems could offer stability with the most information maximizing the vehicle’s handling capability in a given maneuver. In this thesis, the reconstruction of indivual tire forces in the vertical and lateral directions, and the evaluation of the vehicle body sideslip angle are covered. This dissertation presents several model-based estimation methods which involve information from currently potential-integrable sensors. First, the lateral load transfer is estimated using a roll model, then vertical forces on each tire are evaluated. Additionally, lateral forces in individual tire and vehicle body sideslip angle are estimated, taking into account the effects of load transfer on the lateral dynamics of the vehicle. The overall approach and the theoretical results are confirmed by implementation on an experimental vehicle while driven on real conditions.
An Affair not to Remember? It Might Help to Change Your Name

While a growing body of research has examined how organizations respond to institutional change, less examined is how institutional change can create opportunities for organizations to manage their public image. We propose that institutional change allows firms to leverage the ambiguity around the motive for image management and thus minimize audience’s unfavorable attribution of the motive. Specifically, we focus on an organization’s name change as a means of image management. From the audience’s standpoint, an organization could change its name as a result of having responded to institutional change, or to convey new strategic directions, or to manipulate the public perception. Institutional change allows a window of opportunity when audiences are confronted with the ambiguity over the motive for name change. Based on this framework, we predict that firms with poor image are more likely to engage in name change during institutional change, and that they are more likely to engage in the type of name change that indicates new strategic direction to further benefit from the ambiguity. Similarly, we also predict that name changes engaged this way are likely to generate more favorable market reactions. We test our framework in the context of the name change by publicly listed Chinese firms during the government-mandated corporate governance reform.
Increased C reactive protein and cardiac enzyme levels after coronary stent implantation. Is there protection by remote ischaemic preconditioning?

Aim: To investigate whether remote ischaemic preconditioning (RIPC) can attenuate the inflammatory response and enzyme leakage that can occur after uncomplicated routine percutaneous coronary intervention (PCI). Methods: 41 consecutive normotensive patients with stable angina and single-vessel disease were assigned to be exposed to RIPC (n = 20) or not (control group; n = 21) before elective PCI with stent implantation. RIPC was induced by three cycles of 5-min ischaemia–reperfusion of both upper limbs (inflation/deflation of blood pressure cuff). C reactive protein (CRP), creatine phosphokinase (CK), CK cardiac isoenzyme (CK-MB) and troponin I (TNI) were serially measured for 48 h. Results: No difference in baseline values was observed between the groups. The CRP rose significantly (p<0.001) and at 48 h was similarly increased (>fourfold) in both groups (15.7 (2.6) v 14.0 (3.3) mg/l, RIPC v control; p = NS). However, sub-group analysis on the basis of statin use showed that the highest rise was in the group of patients with RIPC not taking statins and was significantly greater than in patients with RIPC taking statins (23.8 (3.71) v 11.4 (3.0) mg/l, respectively, p<0.01). Both CK-MB and TNI leakage were raised (slightly but significantly) after PCI in controls at 24 h compared with baseline values. However, this small rise was significantly worse after RIPC (CK-MB, 1.33 (0.27) v 3.57 (0.97) ng/ml, p<0.01; TNI, 0.255 (0.059) v 0.804 (0.232) ng/ml, p<0.05, respectively at 24 h). The increase was more marked in the RIPC subgroup not taking statins. Conclusions: RIPC does not reduce, but exacerbates, the enzyme and TNI release from the heart after single-vessel angioplasty with stent. Furthermore, the increased circulating CRP remains raised. It seems that there is an enhanced inflammatory response after RIPC in the absence of statin treatment.
A motion control of two-wheels driven mobile manipulator for human-robot cooperative transportation

This paper proposes a control method for humanrobot cooperative transportation using two-wheels driven mobile manipulator. In the past, most of the robots which aim at cooperation with human had three or more wheels, and there is a possibility that their mobility is insufficient for human environment. Two-wheels driven mobile manipulator has excellent mobility and can realize rapid and smooth motion such as turning instantly. It has different motion characteristics depending on the configuration, because of the nonholonomic constraint of the mobile platform. And, there is a trade-off between the robot's mobility and the robot's stability. In this paper, to the above mentioned problem, we propose a method of configuration control of the mobile platform by setting the manipulability measure as a performance index. In the proposed method, by maximizing or minimizing the performance index depending on the situation, mobility and stability of the mobile platform in the cooperative transportation is controlled.
Modeling and state-space feedback control of a DC-DC converter for photovoltaic systems

In this work is proposed a model of a photovoltaic (PV) system comprised by PV-arrays connected to a dc-dc converter. Toward this purpose, the PV panels, dc-dc converter and the controller are modeled as a set of state-space equations suitable for adjusting the transient and steady-state performances of the system. The photovoltaic system is evaluated with the average state variable method and the controllers are designed by means of concepts of the characteristic polynomial and the system controllability. These concepts in state-space formulation allow the controllers can be determined by the ackermann's method. The modeling and proposed control are tested by simulations and experimental procedures. The results corroborate the performance of the method.
Intraarterial administration of Abciximab for thromboembolic events occurring during aneurysm coil placement.

BACKGROUND AND PURPOSE Platelet-derived thrombi may occur during intracranial aneurysm coiling. We report a series of 13 patients treated with intraarterial Abciximab for thrombus formation complicating aneurysm coiling. METHODS Four patients were treated for acutely ruptured aneurysms. Three procedures consisted of the retreatment of previously coiled aneurysms. Six patients had asymptomatic untreated aneurysms. Abciximab was administered intraarterially through a microcatheter as a bolus of 4-10 mg over a period of 10-20 minutes. All patients underwent postthrombolysis control angiography. They also underwent immediate pre- and postoperative cranial CT. RESULTS In 10/13 cases, the thrombi developed without coil protrusion into the parent artery. In one case, the thrombus was generated from the guiding catheter and embolized remote from the aneurysm site. In one case, the thrombus developed before any coil placement. In another patient, a coil loop protruded into the parent artery favoring a heightened thrombotic state. Arterial thrombi were totally occlusive in two patients, whereas in the remaining 11 cases, the thrombi were not totally obstructive. Complete recanalization was achieved in 92% (12/13) of cases within 20-30 minutes. Incomplete arterial reopening was noted in one case, in which a thrombus fragment embolized distally, causing cerebral infarction. There were no Abciximab-related intracranial hemorrhages. CONCLUSION Intraarterial Abciximab was effective in this series for the treatment of thrombotic complications occurring during aneurysm coiling.
1 Vasopressin regulates extracellular vesicle uptake by kidney collecting duct cells

Citation for published version: Oosthuyzen, W, Scullion, KM, Ivy, J, Morrison, E, Hunter, R, Starkey Lewis, PJ, O'Duibhir, E, Street, JM, Caporali, A, Gregory, C, Forbes, S, Webb, D, Bailey, M & Dear, J 2016, 'Vasopressin regulates extracellular vesicle uptake by kidney collecting duct cells' Journal of the American Society of Nephrology, vol. 27, no. 11, pp. 3345-3355. DOI: 10.1681/ASN.2015050568
Draft Genome Sequence of Gerbil-Adapted Carcinogenic Helicobacter pylori Strain 7.13

ABSTRACT We report here the draft genome sequence of Helicobacter pylori strain 7.13, a gerbil-adapted strain that causes gastric cancer in gerbils. Strain 7.13 is derived from clinical strain B128, isolated from a patient with a duodenal ulcer. This study reveals genes associated with the virulence of the strain.
FEEDBACK CONTROL FOR OPTIMAL PROCESS OPERATION

Abstract Starting from the statement that the purpose of process control is to achieve optimal process operations and that optimal tracking of setpoints is in most cases only a means to this end, different approaches how to realize optimal process operation by feedback control are reviewed. The emphasis is on direct optimizing control by optimizing an economic cost criterion online on a finite horizon where the usual control specifications in terms of e.g. product purities enter as constraints and not as setpoints. The potential of this approach is demonstrated by its application to a complex process which combines reaction with chromatographic separation. Issues for further research are outlined in the final section.
Synaptic vesicles control the time course of neurotransmitter secretion via a Ca2+/H+ antiport

A low‐affinity Ca2+/H+ antiport has been described in the membrane of synaptic vesicles isolated from mammalian brain cortex. We show here evidence that the role of the vesicular Ca2+/H+ antiport is to shorten the time course of transmitter release during individual nerve impulses. The process seems of great importance since it can enable rapid synapses to transmit briefer signals, and so work at high frequencies.
A proposal of Modular Multilevel Converter applying three winding transformer

This paper proposes a new type of Modular Multilevel Converter (MMC) applying a three winding transformer. In general, MMC requires a buffer reactor in each arm, which increases number of components and converter footprint. The proposed MMC with three winding transformer does not require the buffer reactors. We describe mathematical properties of the proposed MMC. We also confirmed it operated as same as typical MMC (with reactor topology) by experimentation using a prototype 10kVA converters.
Applied Data Mining: Statistical Methods for Business and Industry

Preface.1. Introduction.PART I: METHODOLOGY.2. Organisation of the data.3. Exploratory data analysis.4. Computational data mining.5. Statistical data mining.6. Evaluation of data mining methods.PART II: BUSINESS CASES.7. Market basket analysis.8. Web clickstream analysis.9. Profiling website visitors.10. Customer relationship management.11. Credit scoring.12. Forecasting television audience.Bibliography. Index.
Sequential Optimization Method for the Design of Electromagnetic Device

Three sequential optimization methods, sequential least square method, sequential Kriging method, and sequential linear Bayesian method, are presented for the optimization design of electromagnetic device. Sequential optimization method (SOM) is composed of coarse optimization process and fine optimization process. The main purpose of the former is to reduce the design space; while the target of the latter is to update the optimal design parameters. To illustrate the performance of the proposed methods, an analytic test function and the TEAM Workshop Problem 22 are investigated. Experimental results of test function demonstrate that SOM can obtain satisfactory solutions; and practical application illustrates that the number of finite element sample points is less than 1/10 compared with that by direct optimization method, while the optimal results are even better than that by direct optimization method.
Shotgun lipidomics of phosphoethanolamine-containing lipids in biological samples after one-step in situ derivatization Published, JLR Papers in Press, April 16, 2005. DOI 10.1194/jlr.D500007-JLR200

This article presents a novel methodology for the analysis of ethanolamine glycerophospholipid (PE) and lysoPE molecular species directly from lipid extracts of biological samples. Through brief treatment of lipid extracts with fluorenylmethoxylcarbonyl (Fmoc) chloride, PE and lysoPE species were selectively derivatized to their corresponding carbamates. The reaction solution was infused directly into the ion source of an electrospray ionization mass spectrometer after appropriate dilution. The facile loss of the Fmoc moiety dramatically enhanced the analytic sensitivity and allowed the identification and quantitation of low-abundance molecular species. A detection limitation of attomoles (amoles) per microliter for PE and lysoPE analysis was readily achieved using this technique (at least a 100-fold improvement from our previous method) with a >15,000-fold dynamic range. Through intrasource separation and multidimensional mass spectrometry array analysis of derivatized species, marked improvements in signal-to-noise ratio, molecular species identification, and quantitation can be realized. The procedure is both simple and effective and can be extended to analyze many other lipid classes or other cellular metabolites by adjustments in specific derivatization conditions. Thus, through judicious derivatization, a new dimension exploiting specific functional reactivities in each lipid class can be used in conjunction with shotgun lipidomics to penetrate farther into the low-abundance regime of cellular lipidomes.
Automatic Room Segmentation of 3D Laser Data Using Morphological Processing

In this paper, we introduce an automatic room segmentation approach based on morphological processing. The inputs are registered point-clouds obtained from either a static laser scanner or a mobile scanning system, without any required prior information or initial labeling satisfying specific conditions. The proposed segmentation method’s main concept, based on the assumption that each room is bound by vertical walls, is to project the 3D point cloud onto a 2D binary map and to close all openings (e.g., doorways) to other rooms. This is achieved by creating an initial segment map, skeletonizing the surrounding walls of each segment, and iteratively connecting the closest pixels between the skeletonized walls. By iterating this procedure for all initial segments, the algorithm produces a “watertight” floor map, on which each room can be segmented by a labeling process. Finally, the original 3D points are segmented according to their 2D locations as projected on the segment map. The novel features of our approach are: (1) its robustness against occlusions and clutter in point-cloud input; (2) high segmentation performance regardless of the number of rooms or architectural complexity; and (3) straight segmentation boundary generation, all of which were proved in experiments with various sets of real-world, synthetic, and publicly available data. Additionally, comparisons with the five popular existing methods through both qualitative and quantitative evaluations demonstrated the feasibility of the proposed approach.
Drive mode control for MEMS gyroscopes with electrostatically tunable structure

Variable-area capacitor with tuning capability is used to control the drive mode of MEMS gyroscopes for constant-frequency oscillation. The proposed control approach tunes the drive axis natural frequency to a preselected frequency and regulates the amplitude of the drive axis vibration. The algorithm mainly implemented using a field-programmable-gate-array (FPGA) is tested on a MEMS gyroscope operating at atmospheric pressure which is of our own manufacture. First measurement results of the novel digital prototype show the amplitude variance of the detected signal of drive axis is 26ppm in an hour while the phase variance is 45ppm.
Off-Line Handwritten Signature Recognition by Wavelet Entropy and Neural Network

Handwritten signatures are widely utilized as a form of personal recognition. However, they have the unfortunate shortcoming of being easily abused by those who would fake the identification or intent of an individual which might be very harmful. Therefore, the need for an automatic signature recognition system is crucial. In this paper, a signature recognition approach based on a probabilistic neural network (PNN) and wavelet transform average framing entropy (AFE) is proposed. The system was tested with a wavelet packet (WP) entropy denoted as a WP entropy neural network system (WPENN) and with a discrete wavelet transform (DWT) entropy denoted as a DWT entropy neural network system (DWENN). Our investigation was conducted over several wavelet families and different entropy types. Identification tasks, as well as verification tasks, were investigated for a comprehensive signature system study. Several other methods used in the literature were considered for comparison. Two databases were used for algorithm testing. The best recognition rate result was achieved by WPENN whereby the threshold entropy reached 92%.
An Acoustic Analysis of Child-Child and Child-Robot Interactions for Understanding Engagement during Speech-Controlled Computer Games

Engagement is an essential factor towards successful game design and effective human-computer interaction. We analyze the prosodic patterns of child-child and child-robot pairs playing a language-based computer game. Acoustic features include speech loudness and fundamental frequency. We use a linear mixed-effects model to capture the coordination of acoustic patterns between interactors as well as its relation to annotated engagement levels. Our results indicate that the considered acoustic features are related to engagement levels for both the childchild and child-robot interaction. They further suggest significant association of the prosodic patterns during the child-child scenario, which is moderated by the co-occurring engagement. This acoustic coordination is not present in the child-robot interaction, since the robot’s behavior was not automatically adjusted to the child. These findings are discussed in relation to automatic robot adaptation and provide a foundation for promoting engagement and enhancing rapport during the considered game-based interactions.
Facilitating Operational Control of Business Services: A Method for Analysing and Structuring Customer Integration

The efficient delivery of services is a major task for service companies to survive in competition. But, services are characterised by the integration of customers in the process of service delivery. In this context, operational control of business services is an important issue as business service performance often suffers from operational problems caused by customers involved. In order to react, a service company has to identify the possible options for operational control clearly. This is not easy as the impact of customer integration is ambiguous. To facilitate this, a method for analysing and structuring customer integration in business services is proposed. The aim is to cluster, quantify and qualify customer integration in business services from a production point of view. Applying this method (as demonstrated using a real business service) operational control will be facilitated due to a better transparency of customer integration.
Simple macromodels for the power stages of power conditioning units

The paper proposes some simple macromodels for the power stages of a PCU. These models allow easy analysis of the DC behaviour of the power system on the DC frame, by referring the AC-side net to the DC side of the inverter. Moreover, using this approach, also the transient analysis of the circuit DC part becomes easy and fast, as the AC current is already assumed to be in phase (or in a particular phase relation) with the grid voltage without simulating the circuit AC part along with the current loop (or the PLL circuit).