Miracle-dz/UniFAR-FTUs huggingface dataset:
A SystemVerilog approach in system validation with affine arithmetic

This paper introduces an original approach to system modeling for performance analysis and optimization. The method presented herein theoretical background is the mathematical field of affine arithmetic chosen for its intrinsic data representation optimal to analysis of the mitigation of variations and refinement of deviations and error analysis. The chosen language of SystemVerilog is beneficial for it is allowing the integration of the validation process and of the verification process for the specific class of mixed signal electrical circuits and systems.
The Myers-Briggs Type Indicator (MBTI) and Promotion at Work

Over 6000 adult managers attending an assessment centre completed the MBTI and also specified in detail how long it had been before they were promoted to a managerial role, and also, where appropriate, to a senior managerial role. Correlational analyses showed shorter times to promotion were associated with being Extraverted and a Sensing Type. Regressions showed that Feeling types took longer to be promoted to managerial roles, and that Perceiving types took longer to be promoted to senior positions. Implications for the selection and management of people were considered.
HIVEC: A Hierarchical Approach for Vector Representation Learning of Graphs

This paper presents a new method : HIVEC to learn latent vector representations of graphs in a manner that captures the semantic dependencies of sub-structures. The representations can then be used in machine learning algorithms for tasks such as graph classification, clustering etcetera. The method proposed is unsupervised and uses the information of co-occurrence of substructures. It introduces a notion of hierarchical embeddings that allows us to avoid repetitive learning of sub-structures for every new graph. As an alternative to deep learning methods, the edit distance similarity between sub-structures is also used to learn vector representations. We compare the performance of these methods against previous work. Keywords—Deep learning, graph kernels, unsupervised learning
Oxygen Demands with Hybrid Contact Lenses

Purpose. The purpose of this study was to assess the corneal response, as measured by corneal oxygen uptake, of keratoconic corneas to SoftPerm and SynergEyes hybrid contact lenses at the central cornea, 2.0 and 4.5 mm temporal to the central cornea, and 1 mm temporal to the limbus. Methods. Corneal oxygen uptake rates were measured with a Clark-type polarographic electrode on the right eyes of 14 subjects and the left eye of 1 subject, all with keratoconus. Measurements were made at the central cornea, 2.0 and 4.5 mm temporal to the central cornea, and 1 mm temporal to the limbus. They were made for the open eye condition, as well as following 300 s of SoftPerm and SynergEyes hybrid contact lens wear. A one-way analysis of variance (ANOVA) was used to determine the effect of measurement location on oxygen uptake rates under uncovered eye conditions. To determine the difference among oxygen uptake rates relative to those of the uncovered eye at each measurement location for each hybrid lens, a two-way repeated measures ANOVA was used. Multiple comparisons with Tukey-Kramer adjustment were used post hoc to determine which locations were significantly different. Results. For the uncovered keratoconic cornea, there was no significant difference among the oxygen uptake rates associated with the three corneal locations; however, the oxygen uptake rates measured 1 mm temporal to the limbus were significantly higher than those measured at the three corneal locations. Comparison of oxygen uptake rates measured with the SoftPerm and SynergEyes lenses relative to those of the uncovered eye at each location revealed significantly higher rates at the peripheral cornea than at the central cornea. At all locations, the relative oxygen uptake rates obtained with the SynergEyes lenses were lower than those obtained with the SoftPerm lenses. Conclusions. The SynergEyes lens allows significantly more oxygen to reach the cornea during wear than the SoftPerm lens at the central cornea, as well as 2.0 mm and 4.5 mm temporal to the central cornea.
Hardware-in-the-loop FPGA-based real-time simulation of cascaded H-bridge multilevel inverter for grid interactive photovoltaic power plant

Requirements, for better power control and rapid devices in the field of power converters, have created many topological and control methods for power electronics. Renowned of them are the multilevel inverters topologies, who are broadly utilized as a part of high-power high-voltage applications because of their worthwhile execution contrasted with two-level inverters. The focal purpose of this paper is to evolve a control method for a 3-phase multilevel cascaded H-bridge photovoltaic (PV) inverter connected to the grid utility system with an LCL filter design using Space Vector Modulation (SVPWM) scheme. The control of the system (inverter-LCL filter) grid-connected is studied thru conventional direct-current d-q vector control strategy. Simulation results, in the SimPowerSystem / Matlab environment, demonstrate that the proposed control strategy can extend robust stability for system after changing reference parameters. An FPGA in the loop implementation of the suggested algorithm to create the switching sequences, is introduced for approval this algorithm in real time application.
Data Driven Techniques for Organizing Scientific Articles Relevant to Biomimicry

Life on earth presents elegant solutions to many of the challenges innovators and entrepreneurs across disciplines face every day. To facilitate innovations inspired by nature, there is an emerging need for systems that bring relevant biological information to this application-oriented market. In this paper, we discuss our approach to assembling a system that uses machine learning techniques to assess a scientific article's potential usefulness to innovators, and classifies these articles in a way that helps innovators find information relevant to the challenges they are attempting to solve.
Application of Saber's simulation model IGBT1 in solid-state switch design

The Saber is the most powerful simulator in the power electronics field of the world. This paper introduces the characteristics of the IGBT1 model and choice of the parameters under Saber, and explains the characteristic of the model to a kind of DC solid-state switch. Through calculating and analyzing the theory of IGBT working course, and simulating the IGBT1 model in the stable and transient process, this paper partially verifies the accuracy of IGBT1 model in stable and transient process and offers reliable assurance for the power electronics simulation
Flow cytometry as a tool for the study of phytoplankton

An overview is presented on flow cytometry as a tool for counting, analysis and identification of phytoplankton species and groups. The paper covers basics on the analysis technique and instrumentation such as the measuring principle, the type of instrument, limitations and pitfalls with phytoplankton samples and sample handling and preprocessing. Possibilities of the measured entities are discussed, roughly divided in light scatter and related parameters, the endogenous fluorescence and exogenous fluorescence, followed by a discussion on the actual applications such as phytoplankton abundance analysis, ecology and physiology research and monitoring of particle size and biomass. In addition to a limited literature review, we tried to assess how flow cytometry is used in routine laboratory practice and monitoring operations. Therefore, a questionnaire was sent out via email to 47 scientists at 43 institutes known to us as involved in flow cytometric analysis of phytoplankton. In total, 19 scientists responded. Specific survey results are included in italic print whereas some more general answers were integrated in the overview.
The puzzle-interlayer model: an approach to the analysis of tightly packed arrangements of hard particles

The small-angle scattering (SAS) structure functions are analyzed for an idealized, random two-phase system: a stationary arrangement of hard puzzle particles, separated by a relatively thin interspace, which can be approximated by an interlayer. The detailed shape of the interlayer is defined by the shape of the particles themselves: The starting point for producing these initial particles is a three-dimensional initial puzzle {P_0} in the state of tessellation. Its pieces, homogeneous particles of random shape, fit together filling the space. In a second step, an expanded puzzle {P_{\tau }} is constructed by translating the initial particles by a certain length \tau (relative to one another). The whole tightly packed particle arrangement depends on {P_0}. The interlayer region between the particles is a connected, homogeneous region. The SAS intensity of {P_{\tau }} depends on the parameter \tau and on the typical shape and size of the pieces of {P_0}. Chord length distributions (CLDs) are used in the description. The random shape of the pieces of {P_0} possesses a CLD 1. The CLD 2 of the intermediate spaces is approximated by that of an idealized layer of constant thickness \tau. The scattering of {P_{\tau}} results in terms of the CLDs of both phases. The approach can be applied to many types of {P_0}. Two initial tessellations of {P_0} are studied, a `dead leaves' tessellation produced by spherical primary grains and the Poisson plane mosaic.
Development of a brief mental health impairment scale using a nationally representative sample in the USA

A psychometric analysis was conducted to reduce the number of items needed to assess the disability associated with mental disorders using the World Health Organization Disability Assessment Schedule (WHODAS). The WHODAS was to be used in the Substance Abuse and Mental Health Services Administration National Survey on Drug Use and Health (NSDUH), beginning in 2008, as part of a screening algorithm to produce estimates of the prevalence of serious mental illness (SMI) in the US adult population. The goal of the work presented in this paper was to create a parsimonious screening scale from the full 16‐item WHODAS that was administered to 24 156 respondents (aged 18? ) in the 2002 NSDUH. Exploratory factor analysis showed that WHODAS responses were unidimensional. A two‐parameter polytomous Item Response Theory model showed that all 16 WHODAS items had good item discrimination (slopes greater than 1.0) for each response option. Analysis of item difficulties and differential item function across socio‐demographic categories was then used to select a subset of eight items to create a short version of the WHODAS. The Pearson correlation between scores in the original 16‐item and reduced eight‐item WHODAS scales was 0.97, documenting that the vast majority of variation in total scale scores was retained in the reduced scale. Copyright © 2010 John Wiley & Sons, Ltd.
MR Physics & Techniques for Clinicians : Spin Echo Imaging

Spin echo imaging is often called the workhorse of MRI as it is frequently a large part of many clinical protocols. By definition, the “spin echo” is the occurrence of transverse magnetization that has been re-phased by a refocusing RF pulse. Note that transverse magnetization exists following an excitation RF pulse that tips the magnetization from the equilibrium, longitudinal direction into the transverse plane. The spin echo effect was explained by Erwin Hahn in 1950 [1], and further developed by Carr and Purcell who pointed out the advantages of using a 180° refocusing RF pulse for the second pulse [2]. Another improvement was made by Meiboom and Gill in orientating the axes of the excitation and refocusing RF pulses perpendicular to each other [3]. These two improvements give rise to the term “CPMG condition”. The figure below shows the spin echo pulse sequence, which illustrates a couple of important parameters when describing the pulse sequence: TE: time to echo from the excitation RF pulse TR: repetition time between adjacent excitation RF pulses
Appraisal of lean production's implementation

Integrating the advantage of traditional batch production and piece production, lean production is being widely adopted by enterprises under customer-oriented market environment. This trend requires the appearance of scientific appraisal to lean production implementation, because reasonable appraisal has great significance to smooth application of lean production. On one hand, through scientific appraisal the enterprise that has been applying lean production can recognize its lean degree and identify improvement direction, on the other hand, the enterprises that still hold wait-and-see attitude can know the value of lean production exactly. In this paper, the index system of appraising lean production is set up, including financial indexes and also non-financial indexes. The lean factors are correlated, leading to enterprise's unique competence, so in the process of appraisal we use ANP to fix the weights of indexes. After introducing the unascertained theory, we set up the model to appraise lean production's implementation. At last a case is shown using the model put forward in this paper.
Towards pervasive eye tracking

Abstract The human gaze provides paramount cues for communication and interaction. Following this insight, gaze-based interfaces have been proposed for human-computer interaction (HCI) since the early 90s, with some believing that such interfaces will revolutionize the way we interact with our devices. Since then gaze-based HCI in stationary scenarios (e. g., desktop computing) has been rapidly maturing, and the production costs of mainstream eye trackers have been steadily decreasing. In consequence, a variety of new applications with the ambitious goal to apply eye tracking to dynamic, real-world HCI tasks and scenarios have emerged. This article gives an overview of the research conducted by the Perception Engineering Group at the University of Tübingen.
Adaptive stabilization control for stochastic nonlinear systems with time-varying delay

This paper is concerned with the adaptive stabilization problem of high-order stochastic nonlinear systems with time-varying delay. Indeed, there exist lots of deterministic results for the system without uncertainty and time delay. However, owing to the existence of time varying delay, unknown parameters and the relaxed nonlinear terms, it is not easy to choose an appropriate Lyapunov-Krasoviskii (L-K) functionals for control design. Via the modified method of adding a power integrator, an adaptive stabilization controller is constructed, which guarantees that the closed-loop system is globally asymptotically stable in probability. The effectiveness of the proposed approach is validated by a simulation example.
Linking active margin dynamics to overriding plate deformation: Synthesizing geophysical images with geological data from the Norfolk Basin

The Tonga‐Kermadec subduction system in the southwest Pacific preserves a series of crustal elements and sediments which have recorded subduction initiation, rift, and back‐arc basin formation. The Norfolk Basin is the farthest landward of all back‐arc basins formed in the Tonga‐Kermadec region and may preserve the earliest record of subduction initiation regionally. For the Norfolk Basin, we use a set of multibeam bathymetry, magnetic, and seismic reflection and refraction data to constrain basin structure and the mode and timing of formation. A structural interpretation reveals a two‐stage tectonic evolution: (1) a convergent tectonic regime until 38–34 Ma, alternatively related to island arc collision or subduction initiation, and (2) lithospheric extension after 34 Ma. These observations may help to constrain mechanical models that predict rapid extension following convergence of the overriding plate during subduction initiation or arc reversals.
Off-State Breakdown Characterization in AlGaN/GaN HEMT Using Drain Injection Technique

AlGaN/GaN high-electron mobility transistor's (HEMT's) off-state breakdown is investigated using drain-current injection techniques with different injection current levels. Competitions between the source leakage and gate leakage, pure leakage and impact ionization, and source- and gate-injection-induced impact ionization during the drain-injection measurement are discussed in detail. It was found that the breakdown originates from the source/gate leakage at low drain injection levels but is dominated by source/gate-induced impact ionization process at high drain injection currents. The source-induced impact ionization usually precedes the gate-induced impact ionization in low-gate leakage devices, resulting in a premature three-terminal off-state breakdown. We also found that the gate-bias value affects the breakdown voltage in the conventional three-terminal off-state breakdown I-V measurement and should be carefully considered.
Technological Innovations, Activity Based Costing and Satisfaction

For past two decades, it has been argued that traditional management accounting practices have failed to cope with the requirements of technological changes in manufacturing practices (Askarany, 2005, 2003; Baines & Langfield-Smith, 2003; Beng, Schoch, & Yap, 1994; Bork & Morgan, 1993; Cavalluzzo & Ittner, 2003; Cooper & Kaplan, 1991;Gosselin, 1997; Hartnett & Lowry, 1994; Kaplan, 1984, 1994; Maiga & Jacobs, 2003; Lefebvre & Lefebvre, 1993). In particular, it has been claimed that traditional management accounting techniques are unable to satisfy the users of such techniques in terms of providing them with timely and detailed information. In response to this issue and to overcome the shortcomings of traditional management accounting techniques, activity based-costing (ABC) was introduced in 1980s. However, despite the claimed benefits of ABC, the level of implementation of ABC is still lower than those of traditional management accounting techniques. Shedding light on this debate, current study first examines the level of association between technological changes in manufacturing practices and the level of implementation of ABC to see whether (or not) implementation of technological changes may lead to the implementation of ABC. Then it tests the level of association between the implementation of ABC and the level of satisfaction of ABC's users to see whether (or not) the adopters of ABC are more satisfied than non-adopters. The findings indicate that the diffusion of ABC is associated with the implementation of technological changes in manufacturing practices. However, the results provide no evidence to support that ABC adopters are more satisfied than non-adopters.
Molecular, genetic, and biochemical characterization of the serC gene of Methanosarcina barkeri Fusaro

The Methanosarcina barkeri serC gene, encoding phosphoserine aminotransferase, was cloned by complementation of an Escherichia coli serC mutant, and its nucleotide sequence was determined. The M. barkeri SerC protein shares significant homology with other known SerC proteins. E. coli serC hosts carrying the cloned gene express phosphoserine aminotransferase activity, verifying the function of this gene.
New and Emerging Techniques : PET / MR

Following PET/CT and SPECT/CT, PET/MR hybrid imaging is the most recent addition to the palette of hybrid cardiac imaging modalities. PET/MR synergistically combines the excellent soft tissue contrast and detailed image resolution of MR with metabolic information provided by PET. Integrated PET/MR systems furthermore offer the ability to acquire hybrid imaging data simultaneously (1). Beyond exact co-registration of PET and MR data this can be applied for MR-based motion correction of PET data. These features open up several cardiac applications, e.g. evaluation of cardiac function and viability, diagnosis of cardiac inflammatory diseases and tumorous diseases. To fully assess the diagnostic potential of PET/MR, however, several technical challenges have to be considered: attenuation correction (AC) of the patient tissues in PET/MR has to be based on MR-images and is currently hampered by a limited number of tissue classes and undercorrection of bone tissue. Cardiac radiofrequency (RF) coils and ECG gating equipment are currently not considered in AC. Consequently quantification of PET data therefore might be biased. The clinical workflow is rather complex and needs to be tailored to cardiac examinations. Few research groups currently explore this new hybrid imaging modality in selected cardiac applications.
Depression anxiety and headache.

One hundred and forty four patients with headache as the first presenting symptoms were analysed. Neither the character, site and extension of headache nor the distribution of other somatic symptoms were of any help in the diagnosis. The 'site on top' was more frequent in tension headache/ anxiety and 'giddiness' in depression. The diagnostic breakdown was: Depression 58.33%, tension headache/anxiety 33.3%, schizophrenia 6.3% and obsession 2.1% (JPMA 31:276, 1981).
Distortion Management on SBS Based Slow Light

A different definition on the amplitude and phase of transform function is proposed to maximize slow-light pulse delay to a constraint on the allowable pulse distortion and even provide a more simple method of numerical calculation for kinds of structures. In addition, extremely simple formulas describing multi gain structures generally are deduced on amplitude deviation, phase deviation, and time-delay. Moreover, relations of time-delay on gain ratio, separation of multi gains are figured out under distortion management.
Mark Twain's Cat: Industry Investment Experience, Categorical Thinking and Stock Selection *

This paper studies the impact of prior investment experience in an industry on the subsequent purchase of new stocks in the same industry. Using trading records data for households at a large discount broker from 1991 to 1996, I establish that the experience of positive excess returns in a given industry increases the probability of purchasing similar stocks in that industry relative to other industries. This result is robust to industry momentum, wealth effects, and investor heterogeneity. The effect decays when the experience is further in the past. Furthermore, I find that investor sophistication mitigates this experience effect. These results are consistent with mechanisms where investors put more weight on their own experience than on other available historical information when updating the beliefs about an industrys future return. The results are also consistent with investors learning about their stock-picking ability in an industry from their experienced outcomes.
A holistic and integrated approach to theorizing strategic alliances of small and medium-sized enterprises

– The purpose of this paper is to seek to deliver a new and holistic insight on small- and medium-sized enterprise (SME) strategic alliances in terms of the precursor, motivations, selection, governance structure, outcomes and challenges of strategic alliances of SMEs and the relationships between them. , – To better understand the entire process of SME strategic alliances, the author takes a novel approach which is based on a combined perspective of entrepreneurship and innovation, resource-based theory, and social network theory. , – The author develops a theoretical model which seeks to conceptualize the antecedents, process, and outcomes of strategic alliances of SMEs and the relationships between them. , – The conceptual framework provides the directions for future empirical testing and further theoretical research. , – This study may help managers better understand the importance of an integrated approach to entrepreneurship and innovation, and the process and outcomes of enhancing their entrepreneurship and innovation capacities through strategic alliances. , – To the author's knowledge, this study is the first of its kind that takes a holistic and integrated approach to study SME strategic alliances.