Miracle-dz/UniFAR-FTUs huggingface dataset:
Meclofenoxate in treating urinary incontinence after acute cerebral infarction

AIM: To observe the effect of meclofenoate in treating urinary incontinence after acute cerebral infarction. METHODS: Eighty patients with urinary incontience after acute cerebral infarction were divided into two groups. Besides the therapy with compound salvia miltirrhiza injection, etc in patients of control group, patients of treatment group were given meclofenoxate 0.3 g, po , tid for 1 mo. RESULTS: The symptoms in the patients of treatment group with or without aphasia and cognifunction were improved significantly ( P 0.05, P 0.01, respectively), compared with those in the control group. And the mini mental state examination (MMSE) and activity of daily living (ADL) were improved significantly, too ( P 0.01). CONCLUSIONS: Meclofenoxate may play an important role in the improvement of cognifunction, ADL and MMSE of the patients with acute cerebral infarction. Meclofenoxate is a safe and effective drug in treating urinary incontinence after acute cerebral infarction with less adverse reactions.
Numerical simulation for three-dimensional flow in a vortex tube with different turbulence models

Abstract Three-dimensional flow in a vortex tube with straight nozzle was investigated numerically. Four different turbulence models, Spalart-Allmaras, standard SST and realizable were proposed to replicate the flow in the vortex tube. The simulation results of pressure, temperature and velocity field were compared with the experimental data based on dimensionless analysis. It was found that the sudden gas expansion in the vortex chamber causes a pressure drop. The secondary circulations phenomena were observed and identified. Furthermore, the friction between the gas and wall surface and the energy transfer between different laminar flows are the main factors of energy separation in the vortex tube. The realizable model predicts energy separation better than other models studied in this research.
Low-temperature processed thin films of second-order nonlinear optical materials for silicon nitride photonic integrated circuits

Dankzij de integratie van enorme hoeveelheden elektronische componenten op kleine chips zijn computers, smartphones en digitale huishoudtoestellen een integraal deel van ons leven. Ook voor optische toestellen is deze integratietendens gaande. De voordelen van integratie zijn talrijk: toestellen kunnen kleiner, goedkoper en energie-efficienter gemaakt worden. Geintegreerde optische toestellen vinden hun toepassing in bijvoorbeeld de tele- en datacomindustrie, bio- en gassensoren, beeldschermtechnologie en artificiele intelligentie. Een veelgebruikt materiaal voor het maken van geintegreerde fotonische schakelingen is siliciumnitride. Siliciumnitride is een uitstekend materiaal voor het geleiden van licht en is compatibel met de fabricatieprocessen van de micro-elektronica, maar het is een eerder schamel materiaal wat betreft tweede-orde-niet-lineaire optische effecten. Materialen met een sterke tweede-orde-niet-lineariteit zijn nuttig voor het maken van bijvoorbeeld elektro-optische modulatoren, optische parametrische oscillatoren en kwantumlichtbronnen. Dit doctoraatsonderzoek concentreerde zich op het ontwikkelen en karakteriseren van tweede-orde-niet-lineaire materialen die met siliciumnitride fotonische schakelingen kunnen geintegreerd worden. De materialen werden verwerkt bij lage temperaturen, hetgeen hun integratie bovenop elektronische schakelingen mogelijk maakt zonder deze te beschadigen. De bestudeerde materialen zijn ABC-type nanolaminaten, zinkoxide, zinksulfide en N-benzyl-2-methyl-4-nitroaniline. Hun tweede-orde-niet-lineariteit werd gemeten in frequentieverdubbelingsexperimenten. Ook geintegreerde ringmodulatoren werden gerealiseerd door siliciumnitride golfgeleiders te bedekken met zinkoxide of zinksulfide dunne filmen.
Parametric sensitivity analysis as an essential ingredient of spectroscopic ellipsometry data modeling: An application of the Morris screening method

Parametric sensitivity analysis (SA) is an essential tool in optical data analysis aiming to quantify the relative importance of optical model parameters and identify those with a low influence which should remain fixed during analysis in order to simplify a model. Typically, such sensitivity studies are performed using a local sensitivity analysis, also referred to as “one-at-a-time” analysis, which estimates parameter sensitivity by evaluating the changes in model output while perturbing one parameter at a time and holding all other parameters fixed. All the pitfalls of the local sensitivity approach are quite obvious and well known; however, local SA is still prevailing in the area of data analysis for spectroscopic ellipsometry. In this study, we discuss applications of a global qualitative analysis introduced by Morris in 1991 which determines an overall significance for each model parameter and describes its nonlinear effect on model’s output and/or interactions with other parameters. The Morris method allows effective separation of the model parameters into different groups such as parameters with negligible effects, parameters with large linear effects without interactions, and parameters with large nonlinear and/or interaction effects. Here, we carried out the Morris sensitivity analysis to reveal the model parameter significance ranking in a test case of the B-spline model for titanium nitride (TiN). Such a screening approach can be considered as a practical tool for the initial global SA strategy prior to true “all-at-a-time” global sensitivity analysis.Parametric sensitivity analysis (SA) is an essential tool in optical data analysis aiming to quantify the relative importance of optical model parameters and identify those with a low influence which should remain fixed during analysis in order to simplify a model. Typically, such sensitivity studies are performed using a local sensitivity analysis, also referred to as “one-at-a-time” analysis, which estimates parameter sensitivity by evaluating the changes in model output while perturbing one parameter at a time and holding all other parameters fixed. All the pitfalls of the local sensitivity approach are quite obvious and well known; however, local SA is still prevailing in the area of data analysis for spectroscopic ellipsometry. In this study, we discuss applications of a global qualitative analysis introduced by Morris in 1991 which determines an overall significance for each model parameter and describes its nonlinear effect on model’s output and/or interactions with other parameters. The Morris met.
Frequency-domain full waveform inversion strategy using offset-weighted signals

Full waveform inversion (FWI) is an imaging technique that brings high-resolution seismic images based on the inversion of the complete waveform. We investigate the frequency-domain finite difference FWI scheme of wide-aperture data as a tool to build good velocity models. Mathematically, the FWI is usually formulated as a least-squares optimization problem, i.e., minimize the square of the L2-norm between the modeled data and the recorded data of the seismic survey. The conventional least-square objective function suffers from the cycle-skipping effect that causes the solution to confined in a local minimum. To mitigate the cycle-skipping effect we balance the relative data contribution according to the source-receiver distance in which the weighting operation gives larger weight for the signals recorded in receivers close to the seismic source and lower weight for signals far from the seismic source that contains greater uncertainties in the estimation of traveltimes. Finally, we test the effectiveness of our inversion strategy using the acoustic Marmousi model. The proposed technique shows superior performance when compared to the conventional method.
The effect of westerlies on East African rainfall and the associated role of tropical cyclones and the Madden–Julian Oscillation

Variability of rainfall in East Africa has major impacts on lives and livelihoods. From floods to droughts, this variability is important on short daily time‐scales to longer decadal time‐scales, as is apparent from the devastating effects of droughts in East Africa over recent decades. Past studies have highlighted the Congo airmass in enhancing East African rainfall. Our detailed analysis of the feature shows that days with a westerly moisture flow, bringing the Congo airmass, enhance rainfall by up to 100% above the daily mean, depending on the time of year. Conversely, there is a suppression of rainfall on days with a strong easterly flow. Days with a westerly moisture flux are in a minority in all seasons but we show that long rains with more westerly days are wetter, and that during the most‐recent decade which has had more frequent droughts (associated with the “Eastern African climate paradox”), there has been few days with such westerlies. We also investigate the influence of the Madden–Julian Oscillation (MJO) and tropical cyclones, and their interaction with the westerly flow. We show that days of westerly moisture flux are more likely during phases 3 and 4 of the MJO and when there are one or more tropical cyclones present. In addition, tropical cyclones are more likely to form during these phases of the MJO, and more likely to be coincident with westerlies when forming to the east of Madagascar. Overall, our analysis brings together many different processes that have been discussed in the literature but not yet considered in complete combination. The results demonstrate the importance of the Congo airmass on daily to climate time‐scales, and in doing so offers useful angles of investigation for future studies into prediction of East African rainfall.
DIC‐measurement during tensile testing and its approach for the FEM‐simulation of "Die‐Less‐Hydroforming"

Digital Image Correlation (DIC)‐measurement is an optical measurement method which enables contactless and area‐wide continuous acquisition of 3D‐geometry, deformation and surface strain during experimental investigations. Within Die‐Less‐Hydroforming, an increasing innovative forming technology, see [1] and [2], the DIC‐measurement may be used for two tasks at once: The forming process of Die‐Less‐Hydroforming can be investigated continuously within the scope of the classical application of DIC in terms of geometry and deformation acquisition. However, this paper focuses on the use of DIC during the uniaxial tensile test of sheet metal used for manufacturing the double‐layered Die‐Less‐Hydroforming‐blank. Using DIC during the tensile test facilitates to measure the current cross‐section area continuously which allows the determination of a true stress‐true plastic strain‐curve. This curve is required as input for FEM‐forming‐simulation to achieve significant results. But with conventional testing methods, for the case of flat tensile test specimens, it cannot be determined beyond uniform strain Ag. Therefore, the “true” values beyond Ag are often estimated by mathematical approximations.
Distributed Consensus of Linear Multiagent Systems: Laplacian Spectra-Based Method

The consensusability problems of general linear multiagent systems considering directed topologies are explored from a frequency domain perspective in this paper. By investigating the properties of Laplacian spectra, a consensus criterion is established based on the stability of several complex weighted closed-loop systems. Furthermore, for single-input multiagent systems, frequency domain consensusability criteria are proposed on the basis of the stability margins, which depend on the $ {\mathcal {H}}_{\infty }$ norm of the complementary sensitivity function determined by the agents’ unstable poles. The corresponding design procedure is also developed. A numerical example is also presented to validate the proposed consensusability results.
Multiple droplets formation in ultrathin bridges of rigid rod dispersions

In the present paper, we study the rheology of the dispersion of rigid rods in the course of capillary thinning of a liquid bridge formed during extension of a liquid droplet between two solid surfaces. Emergence of multiple annular microdroplets of solvent on the surface of the bridge is predicted. This process comes into play once the radius of the jet decreases below a critical value smaller than the rod length. Formation of the solvent annuli initially occurs by an activation mechanism, whereby the rods become trapped inside the jet core. The kinetics of the annular droplets growth in the regimes of both high and low activation barriers are considered in detail. Several kinetic regimes are studied, including activation, the linear regime when the annular droplets grow exponentially, and the consecutive nonlinear regime of significant core thinning and slow coalescence and growth of droplets. The phase-separation mechanism proposed here for dispersions of rigid rods in the ultrathin jet regime (when jet thickness a is much smaller than the rod length L) effectively replaces the classical Plateau–Rayleigh pinching; the proposed mechanism can, therefore, prevent the bridge from breaking in this regime, thereby opening up a new route for fiber formation in these systems.In the present paper, we study the rheology of the dispersion of rigid rods in the course of capillary thinning of a liquid bridge formed during extension of a liquid droplet between two solid surfaces. Emergence of multiple annular microdroplets of solvent on the surface of the bridge is predicted. This process comes into play once the radius of the jet decreases below a critical value smaller than the rod length. Formation of the solvent annuli initially occurs by an activation mechanism, whereby the rods become trapped inside the jet core. The kinetics of the annular droplets growth in the regimes of both high and low activation barriers are considered in detail. Several kinetic regimes are studied, including activation, the linear regime when the annular droplets grow exponentially, and the consecutive nonlinear regime of significant core thinning and slow coalescence and growth of droplets. The phase-separation mechanism proposed here for dispersions of rigid rods in the ultrathin jet regime (when je.
Powerful Peers: Resident Advisors' Experience With Restorative Practices In College Residence Hall Settings

This study explores the implementation of Restorative Practices (Costello, Wachtel, & Wachtel, 2009) in a residential life program at a small public university. Narrative inquiry is used to explore the perspectives of eleven resident advisors (RAs) who have been trained in Restorative Practices (RP) and are using them in their residential communities. Participants were interviewed three times over the course of one academic year. The study illuminates the RAs’ perspectives, growth and experiences with RP over that year. The findings demonstrate that RP may not only provide a structure for RAs to succeed within their challenging position, but may also encourage growth in a RAs’ leadership capacity and abilities. This research also addresses how RAs conceptualize their position and role, including how they negotiate their dual, and sometime conflicting, roles of serving simultaneously as an authority figure and peer within the residence hall community, and how RAs benefit from and are challenged by implementing RP in their hall. In addition to examining the RA role specifically, the study also addresses how RP can serve as a theoretical framework for preparing RAs for their work in residence halls and for supporting them throughout the year. Further, the research suggests that RP, as a framework for the RAs’ work in the residence halls, can potentially transform the residential experience for both the residents and the RA. The result may be the creation of the kind of community experience that the research has shown contributes to the retention of students. Finally, this study concludes with identifying some of the issues that are important for Residential Life departments in a process of successfully implementing RP in college residential settings.
High-Scanning-Rate and Wide-Angle Leaky-Wave Antennas Based on Glide-Symmetry Goubau Line

A glide-symmetry Goubau line leaky-wave antenna for achieving both high scanning rate and wide scanning angle range is introduced. The novelty of the design is its combination of glide symmetry and a single-layer Goubau line. This combination leads to performance enhancement in both scanning rate and scanning angle range. Utilizing a corrugated Goubau line in a glide-symmetry fashion closes its stopband at the cutoff frequency while slowing down its group velocity. As the dispersion around the closed stopband is shifted to the fast-wave region by periodic profile modulation, the space harmonics exhibit high-scanning-rate radiation. In conjunction with this, the single-layer nature of the Goubau line allows the beam to scan from nearly endfire to backfire directions, leading to a wide scanning angle range. Numerical examples and experimental validation are provided to validate the proposed design. These show that the proposed antenna exhibits dual-band operation, where one band scans 152° within 2.2 GHz (corresponding to scanning rate of 69°/GHz) with 67% efficiency, while the second band scans 145° within 0.7 GHz (corresponding to scanning rate of 207°/GHz) with 26% efficiency. A tradeoff between scanning rate and efficiency always exists in high-scanning-rate leaky-wave antennas. One is able to freely choose the preferred scanning rate in this single antenna. A comparison with other related works shows that the proposed antenna exhibits the best performance.
Semi-supervised convolutional generative adversarial network for hyperspectral image classification

To solve the problem of insufficient annotated samples in hyperspectral image classification, the semi-supervised convolutional generative adversarial network classification model is proposed in this study. The generative adversarial framework constructs an adversarial game, where the generator captures data distribution and generates fake samples, while the discriminator determines whether the input comes from generated or training data. In the proposed method, a deep three-dimensional (3D) convolutional neural network is used to generate the so-called fake cube samples and another 3D deep residual network is designed to discriminate the inputs. Furthermore, the generated samples, labelled and unlabelled samples are put into the discriminator for joint training, and the trained discriminator can determine the authenticity of the sample and the class label. This semi-supervised generative adversarial training strategy can effectively improve the generalisation capability of the deep residual network where the labelled samples are limited. Three widely used hyperspectral images are utilised to evaluate the classification performance of the proposed method: Indian Pines, Pavia University, and Salinas-A. The classification results reveal that the proposed model can improve the classification performance and achieve competitive results compared with the state-of-art methods, especially when there are few training samples.
Modeling of the conjugation of vortex flows with downstream in ANSYS

Using the new technology of longitudinal circulation currents which allows dissipating the excess kinetic energy, thus preventing riverbed erosion and increasing the reliability and environmental safety of the structure. In modern practice of the design of water discharge structures of high-pressure dams, those special properties of flows are widely used. This allows to solve a number of important engineering problems arising in the practice of operating the structures by using the new innovative approaches to. In the paper, the author offers an interesting solution to the engineering problem – A new mathematical modelling has been created. For this study, the standard software package Fluent in ANSYS R 19.0 is used and the required outcome is compared with experimental results. Consequently, the necessary parameters of the swirling flow which are required when evaluating the conditions for the coupling of the water discharged with the downstream of the dam structure are depend on the attained results.
Accuracy of the language environment analysis (LENA) speech processing system for detecting communicative vocalizations of young children

Automated audio processing systems, such as the Language Environment Analysis (LENA) system, are useful tools for understanding developmental language behaviors for clinical and basic research purposes. However, it is still unclear how accurate they may be in comparison to the traditional gold standard of evaluation by trained human listeners. In our study, human coders identified starts and ends of communicative vocalizations of children and adults from sampled audio in day-long LENA recordings of 23 families with a child with variable hearing status; accuracy of LENA was then determined for each recording by comparing LENA and human-derived labels for 100-ms frames of sampled audio. Preliminary analysis suggests that LENA accurately identified communicative vocalizations of the target child wearing the device as being produced by that target child 65% of the time (35% error); accuracy ranged from 49%—79% across recordings. When any child vocalization was correctly identified, LENA accurately distinguished whether this belonged to the target child or another child 75% of the time (25% error); accuracy, however, ranged from 7%—96%. These accuracy levels suggest caution is needed in applying popular speech processing systems like LENA to clinical and scientific questions in absence of additional validation measures.
Exosomal Survivin-T34A: A Novel, Potential Cancer Therapeutic

s and Poster Presentations Aspe, J.R. , DeShields, S. , and Wall, N.R. (2011). Survivin-T34A Overexpressing Cells Release Exosomes that can Induce Apoptosis and Enhance Gemecitabine-Induced Apoptosis; American Association for Cancer Research Pancreatic Cancer: Pro- gress and Challenges Special Conference, Abstrac (#21). Aspe, J.R. , Galloway, N. , Sellers, C. , and Wall, N.R. (2008). Enhanced Antitumor Ef- fect of Combined Gemcitabine and Proton Radiation in the Treatment of Pancreatic Cancer; Proceedings of the American Association for Cancer Re- search, Abstract (#2666). Aspe, J.R. , Galloway, N. , Sellers, C. , Neidigh, J., and Wall, N.R. (2007). Combination Chemotherapy/Proton Radiation Therapy for Pancreatic Cancer Therapy; LLU Basic Sciences Symposium, Abstract Manuscripts in Preparation Khan S, Asumen MG, Jutzy JMS, Aspe JR, Galloway NR, Neidigh JW, Wall NR. Cellu- lar import of the inhibitor of apoptosis protein survivin. Khan S, Jutzy JMS, Aspe JR, Asumen MG, Wall NR. Tumor-released exosomes and their implications in cancer health disparities. *Authors contributed equally.