Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Signals on the Encapsulation Performance of Parylene Coated Platinum Tracks for Active Medical Implants

Platinum is widely used as the electrode material for implantable devices. Owing to its high biostability and corrosion resistivity, platinum could also be used as the main metallization for tracks in active implants. Towards this goal, in this work we investigate the stability of parylene-coated Pt tracks using passive and active tests. The test samples in this study are Pt-on-SiO2 interdigitated comb structures. During testing all samples were immersed in saline for 150 days; for passive testing, the samples were left unbiased, whilst for active testing, samples were exposed to two different stress signals: a 5 V DC and a 5 Vp 500 pulses per second biphasic signal. All samples were monitored over time using impedance spectroscopy combined with optical inspection. After the first two weeks of immersion, delamination spots were observed on the Pt tracks for both passive and actively tested samples. Despite the delamination spots, the unbiased samples maintained high impedances until the end of the study. For the actively stressed samples, two different failure mechanisms were observed which were signal related. DC stressed samples showed severe parylene cracking mainly due to the electrolysis of the condensed water. Biphasically stressed samples showed gradual Pt dissolution and migration. These results contribute to a better understanding of the failure mechanisms of Pt tracks in active implants and suggest that new testing paradigms may be necessary to fully assess the long-term reliability of these devices.
Molecular cloning and characterization of NAC genes from four foxtail millet genotypes

Transcription factor gene family of NAC (NAM, ATAF, CUC) is tightly involved in plant development and in the response to stresses. In this study, we reported the isolation and the characterization of NAC gene homolog from four foxtail millet genotypes. Band with approximately 1300 bp size was successfully amplified from the genomic DNA of four foxtail millet genotypes (ICERI-4, ICERI-5, ICERI-6 and ICERI-10) using gene specific primer. The fragment was designated as SiNAC065 after showing high similarity with NAC gene homologs in the GenBank. Sequence analysis results showed that the SiNAC065 genes isolated from the four genotypes were 1265 bp in length with one intron and two exons. The two exons encode 325 amino acids with the conserved domain located between amino acid 19-325. The SiNAC065 protein identified in this study have 8 conserved motives in the conserved region which categorized them as SNAC (stress responsive NACs) orthologs that are involved in the abiotic stress responses. Different features of SiNAC065 isolated from the tolerant- and the sensitive-genotypes should provide information of the gene’s role in salinity tolerance mechanism of foxtail millet.
Globally invertible differentiable or holomorphic maps Rendiconti del Seminario Matematico

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Molecular Dynamics Study of Mechanical Properties of Monolayer Graphene Sheet

Graphene is one of the strongest material and exhibits excellent electrical and thermal properties which makes it a good candidate for plasma wall-facing material for fusion reactors. In this study, the effect of temperature, chirality, and strain rate on the mechanical properties of monolayer graphene sheets is investigated using classical molecular dynamics (MD) simulations. In the paper, LAMMPS (Large-scale Atomic/Molecular Massively Parallel Simulator) [1] with the AIREBO (Adaptive Intermolecular Reactive Empirical Bond Order) [2] potential is used for the uniaxial tensile tests on the graphene sheet with dimensions 5nm by 1 nm, which is made up of 252 carbon atoms. The values of Young’s modulus at room temperature obtained are 966.9 GPa and 908.3 GPa for armchair and zigzag graphene sheets, respectively. The simulation results reveal that as the temperature increased from 100 K to 1800 K, the elastic modulus declined from 879.5 GPa to 785.4 GPa for armchair and from 988.0 GPa to 816.9 GPa for zigzag. Also, the fracture stress dropped from 102.6 GPa to 87.7 GPa for armchair and from 91.7 GPa to 89.3 GPa for zigzag. Comparing the two chirality directions, armchair graphene sheet stores higher amount of strain energy compared to zigzag. The failure point of graphene sheets depends on the strain rates applied during the uniaxial tension. Results showed that as the strain rate is increased from 0.5 x 10 s to 5 x 10 s, the Young’s modulus increased by 14.8% in armchair and 12.1% in zigzag graphene sheets.
P 4 – A Scalable Real-time Ping Pong Point Protocolar

The analysis of sporting games is of major interest for many different people; it helps supporting a coach or a referee and supplies supporter with interesting facts about a certain athlete or team. While the manual analysis can be very cumbersome and time-consuming, automatic monitoring opens a new range of applications. In this paper we present a scalable realtime 3D tracking system for ball games. Our system traces the trajectory of the ball by an optical multi-camera tracking procedure. Albeit the tracking algorithm is based on a multicamera architecture it can estimate the 3D position of the ball even if it is seen by only one camera. Combined with a prediction-correction step this makes our ball-tracking procedure very robust and reliable. The determination of the balls 2D position in each video frame is based on fast color segmentation and unionfinding algorithms. The 3D coordinates of the observed ball are calculated by a triangulation process. We demonstrate the capability of our approach by implementing a system for real-time tracking and recording of table tennis games.
THE INFLUENCE OF LAYOUT ON BASIC PARAMETERS OF INTEGRATED PASSIVE DEVICES

This paper intends to point out some differences and consequences of using different layout geometry, shape and form of the passive devices. The research is made from the point of view of the layout influence on the basic parameters of the integrated passive devices. Resistors, inductors, and capacitors with structures created on different physical layers with various layer material properties are also studied, analyzed and presented.
An Evolutionary Algorithm for Homogeneous Grouping to Enhance Web-based Collaborative Learning

Grouping of students is an important educational activity in traditional learning and e-learning environments and lots of research has been done in this area. In this paper the new algorithm is proposed for grouping of students with unlimited features. Our proposed algorithm considers the priority of features as well as their values. Priority of features is involved in the grouping by taking advantage of the Inversion concept. The results indicate that our algorithm is successful in both intra-fitness and inter-fitness grouping criteria. The discrepancy between the members of group that is called intra-group fitness and the similarity between heterogeneous formed groups that is called inter-fitness group.
A Mathematical Analysis Of Mathematical Salaries and More

In this final project of Experimental Mathematics Class (Spring 2019), we use the data of the tenured and tenure-track faculty in the Rutgers math department as a case study to demonstrate the statistical and mathematical relationships among several variables, e.g., the number of publications and citations, the rank of professorship and of course, the salaries. Different statistical tools, including simple and multi-variable regression, logistic regression, lasso and ridge regression, neural network and unsupervised learning, are exploited so that the results obtained from various methods can be easily compared.
Spectral Theory of Schrödinger Operators over Circle Diffeomorphisms

We initiate the study of Schrödinger operators with ergodic potentials defined over circle map dynamics, in particular over circle diffeomorphisms. For analytic circle diffeomorphisms and a set of rotation numbers satisfying Yoccoz’sH arithmetic condition, we discuss an extension of Avila’s global theory. We also prove a sharp Gordon-type theorem which implies that for every C1+BV circle diffeomorphism, with a Liouville rotation number and an invariant measure μ, for μ-almost all x ∈ T1, the corresponding Schrödinger operator has purely continuous spectrum for every Hölder continuous potential V.
Composing a Picture Book by Automatic Story Understanding and Visualization

Pictures can enrich storytelling experiences. We propose a framework that can automatically compose a picture book by understanding story text and visualizing it with painting elements, i.e., characters and backgrounds. For story understanding, we extract key information from a story on both sentence level and paragraph level, including characters, scenes and actions. These concepts are organized and visualized in a way that depicts the development of a story. We collect a set of Chinese stories for children and apply our approach to compose pictures for stories. Extensive experiments are conducted towards story event extraction for visualization to demonstrate the effectiveness of our method.
Vygotsky ’ s Social Constructivists Theory of Learning

Study on “Human Learning” is continuous which keep on developing and expanding. People agree to the fact that learning is important. But the views on the causes, processes, and consequences of learning differs from one another (Schunk, 2012). As researches from different theoretical traditions apply their ideas and hypothesis in basic and applied settings, their research findings give rise to improvements in teaching and learning. But to link these research data it is required to have a theory consisting of scientifically acceptable set of principles offered to explain a phenomenon. These theories provide a framework for interpretation of environmental observations and serve as bridges between research and education (Suppes, 1974, cited by Schunk, 2012). Moreover, research data is viewed as just a disorganised collections of data if it is not based on any theory. Therefore, for the researchers on “Human Learning” to rely on, there are different “Learning theories”.
RISK–RETURN TRADE-OFF IN THE MARKET FOR LINES OF CREDIT

This paper tests the hypothesis of a risk–return trade-off in the market for revolving lines of credit. Specifically, we expect borrower risk and return on these debt instruments to be positively related. Our main findings support this prediction, in contrast to the only previous work that examined this problem two decades ago. Nevertheless, we find evidence of mispricing regarding the undrawn portion of facilities. We also observe that renegotiation modifies the effect of risk on returns. Moreover, insufficient renegotiation can even reverse the risk–return trade-off.
TAGGEDH 1 ARNESSING ELECTROCEUTICALS TO TREAT DISORDERS ARISING FROM TRAUMATIC STRESS : THEORETICAL CONSIDERATIONS USING A PSYCHOSENSORY MODEL TAGGEDEND

Traumatically encoded memories can last a lifetime. These memories, either by purposeful or inadvertent re-activation, cause the release of stress hormones and generate a persistent and inescapable allostatic load on the body, brain and mind. This leads to a maladaptive response, as the ability to return to pre-event homeostasis is no longer possible. The consequence of this response is that it increases risk for further traumatization and other disorders. Remarkably, recent research has shown that these memories become labile and subject to disruption upon recall. In this paper we outline conditions needed for an event to be encoded as a trauma and describe a method that abrogates the release stress hormones when cued by these memories of the event. Critical to this process is the AMPA receptor (so named for its specific agonist, AMPA, a-amino-3-hydroxy-5-methyl-4isoxazolepropionic acid, a compound that acts as glutamate, its natural substrate). It is hypothesized that traumatic encoding requires increasing the number and permanence of AMPA receptors on the lateral nucleus of the amygdala by a process called synaptic potentiation. Depotentiation, that is removal of these
Impact of Foreign Direct Investment on Economic Growth in Morocco

This paper aims at analysing the effects of FDI that mostly originate from the EU country partners, on economic growth in Morocco. Using yearly time series data from 1973 to 2014, the Vector Autoregressive Regression (VAR) modelling has been used to study the different relations that link FDI, GDP and international trade (imports and exports). Furthermore, Granger causality model has also been implemented to capture causality relationships between the macroeconomic variables. Given that agriculture is a key sector within the structure of the Moroccan economy, both models are performed likewise. Results show that there is a unidirectional relationship between FDI and economic growth in Morocco; meaning that GDP causes FDI, while FDI does not cause GDP growth. Similarly, the agricultural GDP seems to be significantly co-integrated only with its own lagged values, stressing that no role of agricultural FDI is econometrically noted. Surely, these results have to be linked to the relative weakness of inflowing FDI during the considered period, as it theoretically would be expected. However, policy makers would have to review the whole policy that aims at encouraging FDI as an economic growth promoter in Morocco, including the diversification of FDI origin.
Evaluation and values of entrepreneurship education in basic education

The evaluation aspect and its values have been missing in the context of entrepreneurship education and few researches exist on this context. In our article we will focus on the development of evaluation in entrepreneurship education in Finnish basic education. The data was collected in November 2009 through a survey questionnaire, which was distributed to a group of teachers and principals (from basic education, high school and basic vocational training), and to entreprepeurs and representatives of organizations (N 49). The questions dealt with the values and basis of evaluation of entrepreneurship education.
Incipient defect identification in rolling bearings using adaptive lifting scheme packet

Non-stationary acceleration waves in the fluid-saturated inhomogeneous elastoviscoplastic porous medium are studied using the mathematical theory of discontinuities. The equations for determining the intensity and the geometry of wave fronts of the fluidsaturated elastoviscoplastic medium were first derived. It is shown that in the medium under consideration there are two types of irrotational waves and one equivoluminal wave, that are equal to the velocities in the homogeneous elastic porous media at every point.
Disentangling the Credit Risk and Liquidity in the Term Structure of Western European Sovereign CDS

This paper studies the determinants of Western European sovereign CDS spread and their explanatory power during pre-CDS small bang, sovereign debt crisis and short-sale ban periods. Both macroeconomic fundamentals and Merton(1974) structural model implied credit controls are important cross-sectional credit determinants of CDS spread levels. We find liquidity plays a role in explaining CDS spread changes. The sensitivity of CDS spread changes to liquidity changes depends on the maturity of the contract and the riskiness of the country. The change of liquidity has a stronger impact on the change of short-term CDS spread for Non-GIIPS countries, while a weaker impact for GIIPS countries. Using Venezuelan sovereign CDS as a robustness check, we confirm that the change of short-term CDS spread is less sensitive to the change of liquidity for distressed economy. The E.U. permanent short-sale ban does reduce the explanatory power of both credit determinants and liquidity proxy. JEL classification: G01, G10, G18. Second Draft. The third draft is coming at the end of November 2017 and will be available at my personal website. ∗YI LI is with the School of Finance, St. Gallen University. I am grateful for valuable comments and suggestions received from Angelo Ranaldo and Paul Söderlind. Special thank to Doug Richardson from the ICI for providing me with the equity flow and bond flow data. All errors are my own responsibility.
ANALYSIS OF DRYING SHRINKAGE’S SURFACE CRACKING IN CONCRETE BY BEAM-PARTICLE APPROACH

In this paper, investigations are focused on the beam-particle model to analyze the impact of drying shrinkage cracking. The cohesion of particles is achieved with an Euler-Bernoulli lattice brittle beams. In case of cracking, cohesion disappears and the contact law with friction is considered between the polygonal particles. In the model, the shrinkage’s strain field is obtained by from classical continuous method resolution. Beam-particle model permits to obtain local cracking patterns from finite element drying strain results. In order to model shrinkage and local crack, hydric and mechanical weak coupling is investigated with discrete approach. It demonstrates that the material’s history influences the structural response. Moreover, shrinkage cracks are visualized on experimental specimens’ surfaces. In order to quantify the size of the crack’s surface an apparent radius is calculated to obtain a statistical repartition. Numerically, surfaces cracking tests were analyzed to model responses with different boundary conditions The data reveals that cracks propagation is deeply correlated with the hydric gradient on the borders of the specimen.
Reinforcement Learning for Autonomous Driving using CAT Vehicle Testbed

We discuss a deep reinforcement learning implementation using the CAT Vehicle Testbed and discuss the merits of simulation-based deep reinforcement learning. After implementing a simple 3 layered neural network which learned using deep Q-learning, we found some challenges associated with ROS and Gazebo. In spite of these challenges, we demonstrate that our reinforcement learning architecture can teach a car to avoid obstacles. With these preliminary results, we discuss what new things we can do and how we can implement more advanced methods.
Multilingual generation of medical information

Multilingual generation systems aim to produce understandable texts in multiple languages from one knowledge representation. We adapted an existing prototype multilingual generator that presents simulated breast cancer Electronic Health Records (EHRs) in English to French and Swedish. The purpose of this work was to test how much effort it would require to modify this limited-domain, template-based English generator to enable it to generate in French and Swedish. We describe the adaptation to both languages, viewing the grammatical aspects involved and explaining the modifications performed. This work illustrates how the same underlying knowledge representation can be used to generate output texts in multiple languages with only minor linguistic modifications.
Cross Language POS taggers for Resource Poor Languages April 22 , 2011 1

POS tagger is one of the basic requirements of any language for the advancement of its linguistic research. There are many languages which do not have POS taggers. Reasons for lacking POS taggers vary. One reason for this is due to the lack of other basic resources like corpora, lexicons or morphological analyzers. With the advent of Web, corpora is no longer a major problem (see (Kilgarriff et al., 2010)). With technical advances in lexicography (Atkins and Rundell, 2008), lexicon building and morphological analyzers has also been addressed to a decent extent where the next stages of research can boot. The other reason for lack of POS taggers is partly due the lack of many or any research groups working on a particular language. So these languages do not have any annotated data to build efficient taggers. But this problem can be addressed if research/resources for a resource-rich language (source language) can be used for a resource-poor language (target language). If these languages are typologically related, efficient taggers can be built. In this work, we aim to build POS taggers for resource-poor languages benefiting from the resources of their typologically-related resource-rich languages.
Electronic accounting system : A tool for checkmating corruption in the Nigerian public sector and a panacea for the nation ’ s poor economic development status

The 2013 world corruption index ranked Nigeria the 144 th corrupt country out of the 177 countries studied. Corruption has been adjudged the core cause of the colossal poverty and poor standard of living of the Nigerian populace. This is fuelled by lack of accountability and transparency in the businesses of the public sector, mostly aided by manual accounting system and mere paper documentation approach in the systems of operation of the sector. This paper focuses on underscoring the significance of electronic accounting information system in the operations of the Nigerian public sector, and highlights the inevitability of eaccounting system in checkmating corruption in the sector. It views e-accounting approach as a catalyst to the nation’s economic development. An empirical survey was conducted on the government ministries. Data collected were analyzed using 5-point Likert Scale tool. Findings show, among other things, that the Nigerian public sector has not clearly operationalized e-accounting system and that it is of necessity that this system be activated in the sector’s operational structures because corruption in the sector has been partly credited to its absence. The paper thus recommends the activation of the ideals of electronic accounting system in the structure of the nation’s public sector.
A New Edge Detection Method for Digital Images based on Interval Arithmetic and Fuzzy Logic

In this paper, we introduce a new method based on model the grayscale values by grayscale intervals, where the actual grayscale values bounded by grayscale intervals. Then we modify the Prewitt method for edge detection to the new situation of the image, this representation leads to the edges in the form of an interval valued fuzzy set. The performance and the applicability of the proposed method are introduced, and compared with classical methods on grayscale images.
Structural health monitoring ( SHM ) for composite structure undergoing tensile and thermal testing

Application of ultrasonic guided waves generated by piezoelectric smart transducers has become one of the widely-used techniques in structural health monitoring. This technique has led to significant improvements and profound effects in the field of aircraft reliability and safety. Lamb wave propagation on composite plate-like structure undergoing mechanical testing is investigated in the paper. Smart PZT actuator/sensor is bonded on the carbon-fiber and glassfiber epoxy composites, which are subjected to tensile and thermal stress tests. The acquired results indicate the changes in scattering waves in composites materials due to the applied thermal and tensile force. Wavelet analysis was incorporated in this research work in order to distinguish different structural status.