Miracle-dz/UniFAR-FTUs huggingface dataset:
Constructing knowledge-based regional advantage: Implications for regional innovation policy

A focus on constructing regional advantage requires an 'unpacking' of what makes territorial agglomerations important for innovation and competitiveness by disclosing and revealing the contingencies, particularities and specificities of the various contexts and environments where knowledge creation, innovation and entrepreneurship take place. In order to achieve more effective regional innovation policy, this paper presents and discusses three dimensions along which such unpacking can take place. These dimensions refer to (1) specific industrial knowledge bases, (2) globally distributed knowledge networks and (3) different territorial competence bases.
Duality and Symmetry with Time-Changed Lévy Processes

In this paper we review several relationships between prices of put and call options, of both the European and the American type, obtained mainly through Girsanov Theorem, when the asset price is driven by a time-changed Levy process. This relation is called put-call duality, and includes the relation known as put-call symmetry as a particular case. Necessary and suﬃcient conditions for put-call symmetry to hold are shown in terms of the triplet of local characteristic of the time-changed Levy process. This way we extend the results obtained by Fa jardo and Mordecki (2006b).
Printed in Brazil QTL mapping for angular leaf spot in common bean using microsatellite markers

Linkage maps allow us to deepen the understanding of the genome of a species and the identification of genes or genomic regions, denominated QTL, which control traits of economical importance. The phenotypic expression of these genes can have a discrete or continuous distribution; in the latter case the trait is generally controlled by more than one gene. Among the markers applied for mapping those based on DNA polymorphism, especially the SSR (Simple Sequence Repeat) are of particular importance since they
Saturn’s Ionosphere

This chapter summarizes our current understanding of the ionosphere of Saturn. We give an overview of Saturn ionospheric science from the Voyager era to the present, with a focus on the wealth of new data and discoveries enabled by Cassini, including a massive increase in the number of electron density altitude profiles. We discuss recent ground-based detection of the effect of "ring rain" on Saturn's ionosphere, and present possible model interpretations of the observations. Finally, we outline current model-data discrepancies and indicate how future observations can help in advancing our understanding of the various controlling physical and chemical processes.
Performance Improvement and Current Collapse Suppression of Al2O3/AlGaN/GaN HEMTs Achieved by Fluorinated Graphene Passivation

In this letter, fluorinated graphene (FG) is utilized to passivate GaN surface for a metal–insulator–semiconductor high electron mobility transistor (MIS HEMT). The FG-MIS HEMT achieves better DC characteristics than a traditional MIS HEMT, including larger saturation drain current density (34.3%), higher peak trans-conductance (14.4%), lower ON-resistance (21.6%), and lower off-state leakage. Moreover, current collapse measurement reveals that not only can FG suppress the drain saturation current reduction of MIS HEMT from 41.8% to 8.1% at off-state drain bias of 50 V, but also it prevents dynamic ON-resistance increasing with off-state stress. The coverage of FG on GaN surface can prevent GaN being oxidized and N diffusion from GaN during gate dielectric deposition, thus suppressing the formation of Ga-O bonds and Ga dangling bonds, leading to an excellent interface condition for Al2O3/GaN with reduced fixed interface charges. Therefore, significant passivation effect is achieved.
The chemokine receptor 1 gene polymorphism and its association with Somatic Cell Score and milk production traits in dairy cattle

CXC chemokine receptors 1 (CXCR1) play a key role in inflammatory response and eventual activation of the innate immunity. Mastitis is a big problem in dairy industry. In the presented study the bovine CXCR1 gene was considered a candidate gene of anti-mastitis defense in Chinese Holsteins. Polymorphism of bovine CXCR1 was investigated and its associations with Somatic Cell Scores (SCS) and milk production traits (milk yield, milk fat and milk protein content) analysed. Six single nucleotide polymorphisms (SNP) were identified within a 311 bp segment of the bovine CXCR1 locus at positions +570 (G>A), +642 (G>A), +735 (G>C), +816 (C>A), +819 (A>G) and +820 (G>A) relative to the available mRNA sequence, of which CXCR1c. +820 G>A was revealed for the first time. The SNP CXCR1c. +735G>C resulted in the mutation of amino acid, but it showed no significant association with the SCS, milk yield, milk fat and milk protein percentage of Chinese Holsteins (P>0.05). Fifteen haplotypes were reconstructed by the six SNPs in the sample of Chinese Holstein population. The most common haplotype was Haplo1 carrying alleles AAGCAG equal to 0.37, followed by 7 haplotypes (from 2 to 7) with frequencies equal to 0.13, 0.11, 0.08, 0.08, 0.07, 0.07 and 0.06, respectively. Haplotype analysis revealed no significant associations with SCS and other milk production traits.
9 A 20 Gb / s 1 : 4 DEMUX without Inductors in 0 . 13 μ m CMOS

In recent years, high-speed communication systems beyond 10Gb/s have been realized in CMOS technology. A 40Gb/s transmitter including the MUX has been developed in 0. 13μm CMOS [1], and a 40Gb/s MUX/DEMUX in 90nm CMOS has been reported [2]. These circuits extend the bandwidth with inductive peaking for 40Gb/s operation. They use supply voltages that exceed the logic supplies used in these technologies. In this paper, a 20Gb/s 1:4 DEMUX in 0. 13μm CMOS is presented. This design uses no inductive peaking, which reduces area, and a 1.2V logic supply, which reduces power consumption. A coupled-latch and buffer insertion scheme increases the signal bandwidth at the 20Gb/s data rate. A divide-by-2 circuit uses a DLL to align the clock output of the frequency divider with the data center of the 1:2 DEMUX output. This design reduces the power consumption of the power-hungry divider and improves the timing margin.
A versatile signal processor and control system for AESA radar

The paper presents a concept of a versatile signal processor designed for a modern, active electronically scanned array (AESA) radar. The flexibility of the design is high enough to support most advanced modes of operation, including multiple-input multiple-output (MIMO) modes and cognitive radar control, reacting in real time to changing air situations. The required signal processing power calculations are provided together with hardware solutions meeting high computational power and low latency requirements.
articleSex differences in the combined effect of chronic stress with impaired vascular endothelium functioning and the development of early atherosclerosis : The Cardiovascular Risk in Young Finns study

Background: The syndrome of vital exhaustion (VE), characterized by fatigue and irritability, may contribute to an increased risk of atherosclerosis. The aim of the study was to explore sex differences in the interactions of VE with endothelial dysfunction and VE with reduced carotid elasticity, the important contributors to the development of early atherosclerosis, on preclinical atherosclerosis. Methods: The participants were 1002 women and 719 men aged 24-39 examined in the Cardiovascular Risk in Young Finns study. Vital exhaustion was measured using the Maastricht Questionnaire. Preclinical atherosclerosis was assessed by carotid intima-media thickness (IMT), endothelial function was measured by brachial flow-mediated dilatation (FMD), and arterial elasticity by carotid artery compliance (CAC) using ultrasound techniques. Results: We found a significant CAC x VE interaction for IMT only for the men. Our results imply that high VE level significantly related to high IMT levels among the men with low CAC, but not among the women with low CAC or among the women or men with high CAC. No significant FMD x VE interactions for IMT for the women or men were
Adaptive Thresholding Denoising Algorithm Based on Cross-Validation

In this paper, a novel wavelet-based adaptive thresholding de-noising algorithm is proposed. By using a modified twofold cross-validation, a noise-corrupted signal is divided into two parts: one for estimating, the other one acts as a reference signal, and they make it possible to search for the optimal threshold using steepest gradient method. The numerical results indicate that the proposed optimal-threshold-based denoising algorithm outperforms the standard wavelet shrinkage methods, like Donoho's VisuShrink and SureShrink, in MSE sense. The proposed algorithm does not need any a priori information of the noise-distorted signal, and its convergence speed is high. It fits to real-time signal processing
DETECTION AND MITIGATION OF HTTP GET-FLOODING ATTACK

144 Abstract—With significant growth in Internet, many day-to-day life activities such as shopping, bankin g transactions, commerce and Learning, etc. are simpl if ed and made possible with the help of web applications. To protect the user’s confidential information, many security mechanisms are developed using machine learning algorithms. For the past ten years, Application Lay er DDoS attack is found to have greater impact on web appli cations, as it tries to Exhaust the server resource, which lead s to service disruption to the legitimate users. DDoS attack req uests are mimicks the user request of normal Web application. SVM Provides the efficient and accurate result for the det ction and mitigation of Application Layer DDoS Attack .
Adaptive control of piezoelectric walker actuator

This work focuses on the design of adaptive controller for high precision positioning purposes using PiezoLegs actuator. Actuator is driven with the set of periodical sine shaped voltages with known frequency, amplitude and phase shift between the phases. Clear relationships between the amplitude and phase shifts between the phases and actuator step size have been established. Based on these relationships adaptive controller has been designed. Controller is a linear, cascaded type of feedback controller that uses position feedback from an encoder. Based on the information of the absolute error controller performs the adaptive step size modulation by changing amplitude or phase shift of the driving voltages. Proposed algorithm is validated experimentally. Experimental results show satisfactory level performance, controller achieves fast settling time, no overshoot response and high accuracy of positioning with small steady state errors.
Person Tracking in 3 D Using Kalman Filtering in Single and Multiple Camera Environments

We present a multi-camera person tracker solution that makes use of Kalman filtering principles. The tracking system could be used in conjunction with behaviour analysis systems to perform automated monitoring of human activity in a range of different environments. Targets are tracked in a 3-D world-view coordinate system which is common to all cameras monitoring the scene. Targets are modelled as ellipsoids and their colour information is parameterised by RGB-height histograms. Observations used to update the target models are generated by matching the targets in the different views. 3-D tracking requires that cameras are calibrated to the world coordinate system. We investigate some practical methods of obtaining this calibration information without laying out and measuring calibration markers. Both tracking and calibration methods were tested extensively using 6 different single and multiple camera test sequences. The system is able to initiate, maintain and terminate the tracks of several people in cluttered scenes. However, further optimisation of the algorithm is required to achieve tracking in real time.
An improved access control systmem DCAM based on GSI

In the grid environment, making use of resources is more important than sharing them safety. In order to achieve the sharing and management of grid resources, the grid resources providers and visitors need to negotiate resources sharing agreements, and solve the grid resources access control problem. Based on the safety certificate framework, an improved access control system was proposed in this paper, which was the double certificate authentication model (DCAM). The experimental results showed that the improved system strengthened the security of the grid access control, and enhanced the stability and reduce the time delay of the user identity authentication. Compared with the traditional grid access control system, the improved system has relatively obvious improvement in performance, so it has certain practical value in the grid application.
One-Hop DHT Lookup based on Grouped Random Broadcast Messages

Recent research has explored that if network churn is not very high, maintaining global lookup table at every node is reasonable. This paper presents GRBM protocol for maintaining global lookup table. In GRBM, events are merged into notification message in the dispatcher node. Then notification messages are sent to all nodes using a novel event dissemination algorithm. It shows that GRBM is able to maintain global lookup table, while using less bandwidth than other one-hop DHT schemes. GRBM guarantees to minimize lookup failure rate at its first attempt. It is quite suitable for large and dynamic system.
Construction and Characterization of an Isogenicslt-ii Deletion Mutant of EnterohemorrhagicEscherichia coli

ABSTRACT Enterohemorrhagic Escherichia coli (EHEC) produces Shiga-like toxins (SLT), potent protein synthesis inhibitors. To further dissect the role of SLT-II in the course of disease, we have constructed E. coli TUV86-2, an isogenic SLT-II-negative mutant of EHEC strain 86-24. The slt-ii gene was inactivated by suicide vector mutagenesis. We also isolated derivatives of strain 86-24 that were cured of the phage carrying the toxin genes.
High sensitivity noise measurements: Circuits, techniques and applications

Noise measurements on high quality devices can be hampered by the unavoidable noise added by the instrument performing the measurement. The paper will briefly discuss the reduction of the instrumental noise achievable by the cross-correlation technique and by the design of custom CMOS amplifiers. Practical applications in the case of nanofiber organic field-effect-transistors and of cryogenic noise measurements are also commented.
BINAURAL RECORDINGS AND THEIR APPLICATION IN THE SUBJECTIVE ASSESSMENT OF MUSIC ROOMS AND CONCERT HALLS

The application of binaural recordings for the comparisons and assessments of the acoustic qualky of music rooms and concert halls are discussed. Correctly made binaural recordings can provide easy and precise subjective comparisons and ranking of the acoustic qual@ of music rooms and concert halls without enduring the dkadvantages of relying on the subjects’ acoustic memory. A review of the types of dummy heads, microphone locations, the resulting binaural recordings that can achieved and equalkation required are carried out. The various methods of binaural recording reproductio~ using headphones and loudspeakers, for presentation to the listening subjects are discussed and methods of subjective assessments of binaural recordings made in music rooms and concert hall are recommended.
A Comparative Analysis of Association Rule Mining Algorithms in Data Mining: A Study

Data mining is a crucial facet for making association rules among the biggest range of itemsets. Association rule mining [ARM] is one among the techniques in data processing that has 2 sub processes. First, the strategy referred to as finding frequent itemsets and the second method is association rule mining. During this sub method, the principles with the utilization of frequent itemsets are extracted. Researchers developed plenty of algorithms for locating frequent itemsets and association rules. This paper presents the extensive study of various Association Rule mining algorithms and its comparisons. This paper also compared the ARM algorithms based on the merits, demerits, data support and speed.
Nursing students' perceptions of teachers' uncivil behaviors: a qualitative research

One of the main issues in nursing education that teachers and students frequently encounter is uncivil behaviors. This type of behavior is destructive for the teaching and learning environment. As teachers play an important role in nursing students' education and are ultimately their role models, the identification of these behaviors in nursing teachers appears to be essential. This study was conducted to determine nursing students' perceptions of their teachers' uncivil behaviors. The present study was conducted using a qualitative approach and content analysis. A total of 13 nursing students were selected through purposive sampling, and deep and semi-structured interviews were conducted with them. Content analysis was performed using an inductive approach. Three main categories were obtained through data analysis; disruptive behaviors affecting communication climate (subthemes: humiliation, the lack of supportiveness, and distrust), disruptive behaviors affecting ethical climate (subthemes: self-centeredness, coercion and aggression, and harassment), and disruptive behaviors affecting learning climate (subthemes: poor teaching skills, poor time management, and indiscipline). Given that human dignity takes precedence over education, any action causing humiliation and embarrassment can have inverse effects on the students and may harm them. These behaviors taint the educational role. Since students select their teachers as their role models, the impact of teachers' uncivil behaviors on students cannot be neglected. Neglecting these behaviors might lead to their persistence in the clinical setting and irreparable damage to patients, who are the ultimate recipients of care.
Concomitant occurrence of multiple myeloma with diffuse large B-cell lymphoma

Editor, Diffuse large B-cell lymphoma (DLBCL) is the most prevalent subtype of non-Hodgkin lymphoma (NHL), with a diverse pathobiology while multiple myeloma (MM), a neoplastic disease involving the clonal proliferation of terminally differentiated plasma cells, is the second most common hematologic neoplasm. [1] The simultaneous presentation of these neoplasms is exceedingly rare, and we present such a case of synchronous DLBCL and MM in a male patient. [2]
Serum estradiol concentration, estradiol-to-progesterone ratio and sputum IL-5 and IL-8 concentrations are increased in luteal phase of the menstrual cycle in perimenstrual asthma patients.

Summary Background. The results of the research on perimenstrual asthma (PMA) pathophysiology are inconsistent, and the role of sex hormones remains inconclusive. The aim of the study was to evaluate the influence of serum sex steroid (and other) hormones concentrations on lower airway inflammation of PMA patients. Methods. Thirty-three women of childbearing age diagnosed as: PMA (n = 13), non-PMA asthmatics (n = 10), and healthy controls (n = 10) were prospectively followed for 12 weeks over 2 consecutive menstrual cycles. On the 10th and 26th day of each cycle serum 17β-estradiol, progesterone, testosterone, androstendion, dehydroepiandrosteron, cortisol, thyroid-stimulating hormone and prolactin were measured, and sputum was induced. Sputum inflammatory cell count and IL-5, -6, -8, -10 concentrations were determined. Results. When compared to non-PMA asthmatics, the luteal phase of the cycle in PMA subjects was associated with increased serum estradiol concentration, estradiol-to-progesterone ratio (p < 0.001, p = 0.001, respectively) and sputum IL-5 and IL-8 concentrations (p = 0.045, p = 0.039, respectively). Decreased serum testosterone levels (p < 0.05) and a trend to increased serum prolactin levels in both phases of the menstrual cycle in PMA subjects were observed. Sputum analysis in PMA patients revealed increased total inflammatory cell count in both phases of the menstrual cycle (p < 0.05), when compared to non-PMA asthmatics. Conclusions. The luteal phase of the cycle in PMA patients is associated with increased serum estradiol levels with concurrent higher sputum concentration of IL-5 and IL-8. Serum testosterone levels are decreased, and total number of sputum inflammatory cells is increased in PMA patients in both phases of the menstrual cycle.
Racing F-Zero with Imitation Learning Theory and Reinforcement Learning

With this project we use the Retro Learning Environment for the SNES game F-Zero in order to reproduce work in the Imitation Learning space. We were inspired by some of the recent successes in Reinforcement Learning and Imitation Learning, and hoped to achieve a deeper understanding of what kind of impact both model architecture, human, and hand-refined policies could have on the eventual learned policy. By playing the game ourselves, and by using supervised learning with respect to the action choices we made for each state, we developed a model of our behavior for which to set as a baseline for generating new data-sets using the DAgger algorithm Ross et al. [2010]. With our work we created a learning algorithm capable of producing successful policies by generalizing from the expert action choices for the various pixel states of the game.
Optical mixing errors in a fiber-optic coupled heterodyne interferometer

A lightweight and electrically passive interferometer is demanded by a number of applications for precision metrology such as machine tool metrology and on-machine feedback [1]. To satisfy these requirements, a fiber-optic coupled heterodyne displacement measuring Michelson interferometer (FIDMI) shown in Fig.1 has been developed in the Center of Precision Metrology (CPM) at the University of North Carolina at Charlotte (UNCC). In FIDMI shown in Fig.2, the two orthogonal linearly polarized light components with slightly different frequencies are coupled into the interferometer with a polarization-maintaining (PM) fiber [2] to separate the application environment from the laser head. The primary limitation of accuracy encountered with a fiber-coupled heterodyne interferometer is the polarization mixing of the input beam components.
Effect of Growth Rate and Starvation-Survival on the Viability and Stability of a Psychrophilic Marine Bacteriumt

Cell populations of the marine bacterium ANT-300, from either batch or continuous culture with dilution rates ranging from D = 0.015 h-1 to D = 0.200 h-', were monitored for viability, direct counts, and optical density for 98 days under starvation conditions. Three stages of starvation survival were observed for each of the cell populations. Although direct counts remained at 2 x 107 to 3 x 107 cells ml-1 throughout the starvation period, large fluctuations occurred in cell viability during stage 1 (0 to 14 days) of starvation survival. Stage 2 (14 to 70 days) involved an overall decrease in viability for each of the cell populations; the rate of viability loss