Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of the drain breakdown mechanism in ultra-thin-film SOI MOSFETs

The drain breakdown phenomenon in ultra-thin-film (silicon-on-insulator) SOI MOSFETs has been studied. Two-dimensional simulation revealed that the thinning of the SOI film brings about an increase in the drain electric field due to the two-dimensional effect, causing a significant lowering in the drain breakdown voltage, as has been commonly seen in ultra-thin-film SOI MOSFETs. The simulation also showed that the lowered drain breakdown voltage recovered almost to its original value when the drain SOI thickness was restored, suggesting that the drain structure, rather than the source, plays a major role in determining the drain breakdown voltage. Experiments using an asymmetric device structure supported this hypothesis, showing that the breakdown voltage was mostly dependent on the drain structure, the initial potential barrier height at the source-SOI-body junction being only a minor factor. Transient simulation was also carried out to investigate the detailed breakdown process, showing that holes accumulate near the source-SOI-body junction at a high drain bias, eventually forward-biasing the junction. These results indicate that a careful drain design and/or proper choice of the SOI thickness as well as the supply voltage are quite important for realizing high performance of ultra-thin-film SOI MOSFETs. >
Online Networks and Subjective Well‐Being: The Effect of “Big Five Personality Traits”

This article provides an empirical examination of how online social networks affect subjective well‐being, namely enquiring if networks mediate the effect of personality on subjective well‐being of the individuals who use those networks. We use the theories of complementarity of face‐to‐face and online networks, preferential attachment, and the “Big Five Personality Traits” to test the following hypothesis: Given that online and offline networks complement each other as integrative factors that generate happiness, greater use of online networks would imply greater happiness. We also hypothesize that networks mediate the effect of personality on subjective well‐being. Data was compiled from interviews of 4,922 people aged 18 years and older, carried out by the Centre for Sociological Research of Spain in 2014 and 2016. The results confirm the hypothesis and show how online networks, when controlled for personality traits, have a significant and even greater effect on subjective well‐being than face‐to‐face networks.
Weighted Rank Estimation for Random-Effects Monotonic Index Models With Panel Count Data

Panel count data arise when the study subjects who may experience certain recurrent events are only observed intermittently at discrete examination times. For the situation, in addition to the underlying recurrent event process of interest, there usually exist two other nuisance processes, the observation and follow-up processes, which may be correlated with the recurrent event process of interest. We propose a general class of random-effects monotonic index models for regression analysis of such panel count data. For estimation of regression parameters, a weighted rank (WR) estimation procedure is developed and the consistency and asymptotic normality of the resulting WR estimator are established. A numerical study is conducted and suggests that the proposed methodology works well in practice. An application is also provided.
Fenoldopam Increases Urine Output in Oliguric Critically Ill Surgical Patients

Background Fenoldopam is a short-acting dopamine A1 receptor agonist which mediates vasodilation of the renal arteries, thereby increasing urine output. The objective of this study was to compare the effects of fenoldopam and its synergistic effect on furosemide for improving the urine output in postoperative critically ill patients with acute kidney injury (AKI). Methods This is a retrospective study of postoperative critically ill patients with AKI. Patients who received furosemide (control group) were compared with those who received furosemide plus fenoldopam (treatment group) and evaluated at 12 and 24 hours post-treatment. Patients with oliguria and AKI were included in the study, while patients with chronic kidney disease (CKD) were excluded. Glomerular filtration rate, serum creatinine, blood pressure, calculated fluid accumulation, fluid intake, urine output, and total fluid output were used as variables to assess the medication effect. Results Of the 126 patients who met the inclusion and exclusion criteria, 87 patients received furosemide alone, and 39 patients received furosemide plus fenoldopam during their first 24 hours of admission to the surgical intensive care unit (SICU). Although not statistically significant, the addition of fenoldopam demonstrated an increase in mean urine output of 1525ml (IQR; 1530-2095) in the first 24 hours (P=0.06). There was also noted an increase in the urine output (p= 0.07) and a decrease in the total fluid accumulation when fenoldopam was co-administered with furosemide when compared to the patients who were only treated with furosemide (p=0.06). There was no significant change in creatinine clearance from baseline in either group. Conclusion Fenoldopam may increase urine output in postoperative critically ill patients with acute kidney injury when administered within the first 24 hours of presentation. Based on our results, fenoldopam appears to have a synergistic effect with furosemide in our study population.
Syntax‐based metamorphic relation prediction via the bagging framework

Software testing is an indispensable part of the software engineering industry, which guarantees product reliability and safety. Traditional testing approaches face the testing Oracle problem, they are difficult to construct the expected outputs with the increasing of program complexity. As a result, metamorphic testing, which tests the program by examining the relationship between the execution results, is proposed. However, existing manual metamorphic relation construction requires huge effects of domain experts, and automatic methods are unstable and inefficient due to the insufficient software feature mining. Hence, we proposed a multi‐dimensional program structure‐based metamorphic relation prediction approach, which is composed of feature extraction and prediction model building. In the feature extraction stage, the testing program is converted to multiple intermediate structures (such as control flow graphs and abstract syntax trees) to explore its features. In the prediction model building stage, the extracted feature set is used as the training set, and a novel semi‐supervised support vector machine‐bagging‐K‐nearest neighbors algorithm is designed to train the prediction model. Besides, a two‐phase hybrid granularity search algorithm is proposed to improve the prediction performance by selecting the optimal number of weak classifiers. Compared with existing approaches, our proposed model can improve the accuracy by around 14%.
Tapping Campus Talent for the Collegiate Business Communication Course: A Guide to Guest Speakers

Since "variety is the spice of life,"guest speakers can add an element of enthusiasm and interest in the business communication classroom. Individuals from departments as diverse as home economics, research and development, and academic computing can be approached as potential guest speakers for the undergraduate course. Experts from the campus community can be tapped to lend expertise and insights on many topics usually included in the business communication curriculum.
Rapid magnetic resonance tissue relaxometry in the steady state

Longitudinal (T1) and transverse (T2) relaxation are the most fundamental physical processes governing the signal intensity and the soft tissue contrast in magnetic resonance imaging (MRI). The T1 and T2 relaxation times are characteristic properties of living tissues and they were observed to be altered in the context of several diseases. Commonly, the MR images acquired in the clinical routine for medical assessment provide qualitative rather than quantitative information about the T1 and T2 relaxation times of the tissues of interest. The signal intensity generated by conventional qualitative MR imaging may be predominantly T1- or T2-weighted but is generally dependent on other tissue-specific parameters such as the proton density, the acquisition protocol, and the used MR hardware. It is beneficial to directly measure the T1 and T2 relaxation times by acquiring typically two or more MR images of the same anatomical region but of different contrasts and to represent the results in quantitative maps. While these maps have the same structural appearance as the acquired base images, the individual pixel values have a physical meaning (i.e. the values of T1 and T2 in milliseconds) instead of displaying the signal intensity in arbitrary units. Quantitative maps of tissue-specific MR parameters are superior to conventional MR images since they are ideally independent of the MR protocol and hardware, and thus offer the possibility to directly compare the results from studies across multiple subjects, time-points, and imaging sites. Relaxation time measurements (also referred to as relaxometry) have demonstrated increased specificity and sensitivity to detect pathological tissue changes compared to conventional T1- and T2-weighted MR imaging. In practice, T1 and T2 quantification techniques which are based on the acquisition of purely T1- and T2-weighted images without residual sensitivity on T2 and T1, respectively, require prohibitively long scan times making them not suited for the clinical practice. As a consequence, fast MR imaging using steady-state free precession (SSFP) sequences has come into the research focus of quantitative MRI. The images obtained from SSFP acquisitions show generally a mixed T1 and T2 contrast. Contemporary SSFP-based techniques for relaxation time measurements are impaired by a T2-related bias in the T1 quantification and by a T1-related bias in the T2 quantification. In addition, their speed comes at the expense of increased sensitivity to extrinsic instrumental factors (e.g. static or transmit field inhomogeneities). In this thesis, new robust SSFP-based relaxometry methods are developed which offer clinically acceptable scan times and considerably reduce or even eliminate the T2- and T1-bias in the T1 and T2 calculation, respectively, of targets such as the human brain and the musculoskeletal system.
Theory of miniaturized shorting-post microstrip antennas

An analytical theory for the eigenfrequencies and eigenmodes of shorting-post microstrip antennas (MPA's) is presented. These antennas are seen as promising candidates for miniaturized mobile telecommunication handsets. In particular, it is shown that the zero mode of the unloaded MPA plays a central role for reducing the lowest operation frequency of the loaded MPA. The theory allows a complete calculation of all relevant antenna parameters and can easily be extended to the case of multiple shorting posts. Applications to the examples of rectangular and circular shorting post MPA's are illustrated.
Machine Learning Security

The power of Machine learning to rapidly gain through experience and evolve with changing and complex situations has helped it become an essential tool for the security of computers. However, its this pliancy is also a vulnerability. It makes the machine learning systems susceptible to attacks. The attackers can exploit machine learning systems because of its nature of adaptability. In this paper we try to analyze different attacks against machine learning systems and their solutions. We examine the contemporary work in this field and present a survey of potential attacks against machine learning systems and the defenses against these attacks.
Urogynecology Section of the Polish Society of Gynecologists and Obstetricians guidelines on the management of stress urinary incontinence in women.

OBJECTIVES The aim was to present an interdisciplinary Guideline of the Urogynecology Section of the Polish Society of Gynecologists and Obstetricians (PSGO) for the management of stress urinary incontinence (SUI). MATERIAL AND METHODS A review of the literature, including current international guidelines and earlier recommendations of the PSGO Urogynecology Section, about the treatment of SUI was conducted. RESULTS Management of SUI is presented. Four lines of therapy were identified: line 1 - the so-called 'conservative treatment', which should always be attempted, regardless of SUI symptom severity; line 2 - surgical intervention; lines 3 and 4 - reoperations after unsuccessful surgeries from line 2. The literature reports which provided supporting evidence for this Guideline, including the practical aspects, were discussed. CONCLUSIONS A systematic review of the guidelines and an analysis of SUI management were conducted. The need for an individualized approach was emphasized.
Maximum gain of Yagi--Uda arrays

Numerical optimisation techniques have been used to find the maximum gain of some specific parasitic arrays. The gain of an array of infinitely thin, equispaced dipoles loaded with arbitrary reactances has been optimised. The results show that standard travelling-wave design methods are not optimum. Yagi--Uda arrays with equal and unequal spacing have also been optimised with experimental verification.
SOURCE-GRID COLLABORATED OPTIMAL DISPATCHING APPROACH BASED ON VIRTUAL POWER PLANT

The high proportion of distributed energy connected to the grid brings challenges to the security and economic operation of the grid. Based on the characteristics of the power supply and cost of distributed generator and distributed energy storage system, aggregated evaluation model of the output range and price of virtual power plants are proposed. And the collaborative optimization method of distribution network with virtual power plant is proposed to promote the participation of distributed energy in the voltage regulation auxiliary service of distribution power network. Taking 24h as the scheduling cycle, considering minimum system voltage deviation, minimum network loss and minimum auxiliary service cost paid to the virtual power plant, the optimization is transformed into a single objective optimization by penalty functions. A time decoupling strategy is proposed to deal with the strong time coupling problem, and the source network collaborative optimization considering the charge-discharge balance of the energy storage device and the limited switching times of the distribution network control equipment is realized. Using improved particle swarm algorithm to solve the optimization model and taking a distributed energy highly penetrated area as an example, the effectiveness of the model and algorithm is verified.
Computer as Paintbrush: Technology, Play, and the Creative Society

In recent years, a growing number of educators and psychologists have expressed concern that computers are stifling children’s learning and creativity, engaging children in mindless interaction and passive consumption (Cordes and Miller, 2000; Oppenheimer, 2003). They have a point: today, many computers are used in that way. But that needn’t be the case. This paper presents an alternate vision of how children might use computers, in which children use computers more like paintbrushes and less like televisions, opening new opportunities for children to playfully explore, experiment, design, and invent. My goal in this paper is not to provide conclusive evidence but rather, through illustrative examples, to provoke a rethinking of the roles that computers can play in children’s lives.
EVALUATING MODELING CHOICES IN THE IMPLEMENTATION OF REAL-TIME HYBRID SIMULATION

A promising method for the experimental evaluation of civil engineering structures is found in real time hybrid simulation (RTHS). In this approach numerical and physical substructures (from a single structure) must be integrated with high fidelity at run-time. This approach allows for simulation of highly complicated civil structures by dividing them into numerical and experimental substructures, reducing the costs and time associated with a single test. Recently a tremendous amount of progress has been made to address the many challenges in conducting the physical portion of these simulations, such as hydraulic actuation and control, magneto-rheological (MR) dampers, sensors, making RTHS a reality. However, there are also challenges remaining in RTHS related to the computational components of a RTHS. The question of how to identify the most appropriate size of numerical model is one of the challenges on the computational substructure to achieve the most accurate results. In this study, we conduct a numerical investigation to evaluate this question. A RTHS test of a linear, nine-story building with a viscous damper located at the first floor is simulated using RTHS. Various configurations and modeling options are evaluated to identify the most effective computational model and thus the best modeling choices. The results indicate that the performance of the RTHS is linked to the modeling choices used in the computational component, and guidelines are provided for researchers using this methodology.
A study on the design of transverse flux linear motor with high power density

The two configurations of transverse flux linear motors with rectangular teeth and magnetic shield are introduced. The one-dimensional analysis model of transverse flux linear motors is shown. The thrust force is calculated by magnetic co-energy. The thrust force density (N/m/sup 2/) for the two configurations of transverse flux linear motors is calculated by a 2-dimensional finite element method (FEM). Finally, the authors compared the calculated thrust force of the two configurations of transverse flux linear motors with measured data. The calculated performance of the transverse linear motor with magnetic shield revealed a great potential of system improvements by increasing the thrust force of the motor.
Contribution of BCR-ABL molecular variants and leukemic stem cells in response and resistance to tyrosine kinase inhibitors: a review

Chronic myeloid leukemia (CML) is a myeloproliferative neoplasm generated by reciprocal chromosomal translocation, t (9; 22) (q34; q11) in the transformed hematopoietic stem cell. Tyrosine kinase inhibitors (TKIs) target the mature proliferating BCR-ABL cells, the major CML driver, and increase overall and disease-free survival. However, mutant clones, pre-existing or due to therapy, develop resistance against TKIs. BCR-ABL1 oncoprotein activates various molecular pathways including the RAS/RAF/MEK/ERK pathway, JAK2/STAT pathway, and PI3K/AKT/mTOR pathway. Stimulation of these pathways in TKI resistant CML patients, make them a new target. Moreover, a small proportion of CML cells, leukemic stem cells (LSCs), persist during the TKI therapy and sustain the disease in the patient. Engraftment of LSCs in the bone marrow niche and dysregulation of miRNA participate greatly in the TKI resistance. Current efforts are needed for determining the reason behind TKI resistance, identification, and elimination of CML LSC might be of great need for cancer cure.
The Virtues of Mixing Tandem and Cascade Coupler Connections

The design of wideband coupled transmission line hybrids is complicated by the necessity of having the coupled lines in a close physical proximity to achieve the desired -3.01 dB coupling. The required coupling coefficient is particularly difficult to achieve for coupler designs covering greater than an octave. Several techniques have been used to overcome this limitation. The principal methods are the re-entrant coupler/sup 1/ and the tandem coupler/sup 2/ techniques. The re-entrant coupler employs a modification of the transmission line geometry of a single quarter-wave section to obtain the desired increase in coupling. The technique described in this paper is similar to the tandem coupler technique since a judicious connection of coupled quarter-wave line sections is employed to obtain the desired coupling enhancement rather than a modification of the line cross-section.
Quality of Evidence Supporting the Role of Acupuncture for the Treatment of Irritable Bowel Syndrome

Objectives To systematically collate, appraise, and synthesize the current evidence on acupuncture for irritable bowel syndrome (IBS). Methods Systematic reviews (SRs)/meta-analyses (MAs) of acupuncture for IBS were searched in eight databases. For quality evaluation of the enrolled studies, Assessment of Multiple Systematic Reviews 2 (AMSTAR-2) was used for methodological quality, Preferred Reporting Item for Systematic Reviews and Meta-Analyses (PRISMA) for reporting quality, and Grading of Recommendations Assessment, Development, and Evaluation (GRADE) for evidence quality. Results Ten studies were included in our review. According to AMSTAR-2, only one study met all the criteria and was rated as high methodological quality, and the rest were rated as low or very low methodological quality. According to the PRISMA checklist, most of the items were fully reported, with the exception of Q5 (protocol and registration), Q8 (search), and Q27 (funding). With the GRADE system, no outcome measure was rated as high quality. Conclusions Acupuncture may be a promising therapy for IBS. However, this conclusion must be treated with caution since the quality of SRs/MAs providing evidence is generally low.
Technologies to transform assessment: a study of learning outcomes, assessment and technology use in an Australian university

This paper reports the findings from a survey of unit convenors in an Australian university, which explored how technologies were used to support assessment. The results suggest that while uptake of technologies for assessment may slowly be rising, the uses are frequently limited to assessing students‟ ability to understand or apply concepts or procedures. The potential of technologies to support assessment of the all-important higher order learning outcomes such as evaluation, creation and metacognition is still largely left untapped. For many of the technologies, the results suggest that rather than transformative tools, their uses are predominantly limited to perpetuating traditional practices.
Disturbance observer and feedforward design for a 2-DOF high-speed/high-accuracy robotic system

In this paper, a novel 2-DOF high-speed/high-accuracy robotic system is proposed, which consists of two permanent linear DC servomotors and a planar parallel mechanism. Analysis of robotic dynamical model verifies that load variation is violent. Due to the direct-drive principle of a linear motor, the load disturbance can have a significant effect on position accuracy. For this purpose, a discrete-time disturbance observer, feedback controller and ZPECT feedforward controller is presented. The disturbance observer, which is applied to the plant velocity loop, provides robustness for design of both the feedback controller and the feedforward controller. The feedback controller is intended to make the command following properties fast, and the feedforward term realized as a Zero Phase Error Tracking Controller improves tracking. In the experiment, robotic max acceleration is equal to 20m/s2, max velocity is more than 1 m/s, and resolution is 0.5 μm. While the tracking errors are less than 50 μm, the steady-state errors are less than 1 μm, and steady time is less then 42 ms. Experiment results show that: high-performance motion system can be obtained with this discrete-time controller, even in large load variance motion system.
Assessing measurement uncertainty in quality engineering

The automatic restitution of measurement uncertainty with related current results is required for rationalising the specificity and for improving the effectiveness of industrial instrumentation used for standard quality engineering tasks. The paper introduces a general probabilistic framework, based on the propagation of distribution densities, associated to actual experimental data, so that the inclusion of all pertinent information can be done, while transparently acknowledging the influence factors. The approach is explained with reference to example case situations.