Miracle-dz/UniFAR-FTUs huggingface dataset:
On a pair of interacting bubbles in planar Stokes flow

This paper presents a combined numerical and analytical investigation into various problems involving two symmetric interacting constant-pressure bubbles evolving in two-dimensional Stokes flow. The bubbles have constant surface tension on their boundaries and are taken to be in an ambient straining flow. First, a novel numerical method based on conformal mappings is presented to compute the free-surface evolution. Then, a special class of time-evolving exact solutions to the problem is derived and used to check the numerical code. These solutions reveal that, for bubbles with shrinking area, a competition between the imposed strain and surface tension can lead to either a slit or a point as the limiting shape. Numerical solutions of fixed-area bubbles are then computed and reveal that when they are forced together by a straining flow, a thin lubrication layer forms. In the absence of surface tension, large-curvature regions develop at the bubble edges and these are smoothed out by capillary effects. Further, motivated by the viscous sintering application, a study of interaction effects on the pure surface-tension-driven shrinkage of circular bubbles is investigated and compared, in an appropriate limit, to a recently derived ‘elliptical-pore model’.
Iterative learning control with multiple pass points: Algorithms and applications

In this thesis, we present new iterative learning control (ILC) frameworks for multiple points tracking problems. Conventionally, one demand prior to designing ILC systems for such problems is to plan a reference trajectory that passes through all given points at given times. After that, an ILC controller is generated to follow this trajectory in the iteration domain. These works do not follow that direction. First, we present an algorithm in which not only control signal but also reference trajectory is updated at each trial. The scheme investigates the relationship between reference trajectory and ILC tracking control for improving system performance, particularly rate of convergence. Moreover, we show that it is possible to make benefits from cooperating between trajectory planning and tracking control stages. Second, a new ILC scheme is proposed to produce output curves that pass close to the desired points without considering the reference trajectory. Here, the control signals are generated by solving an optimal ILC problem with respect to the points. As such, the whole process becomes simpler; key advantages include significantly decreasing the computational cost and improving performance. Other contributions include multiple points ILC with input constraints and disturbances, uncertainties in data points which happen both repetitively and non-repetitively. Our works are then examined in numerical examples and applications. c ©2012 Tong Duy Son ALL RIGHTS RESERVED
Nonlinear Modeling of the Typical Section Immersed in Subsonic Flow

A methodology to construct discrete-time spacestate models has been developed for a class of nonlinear dynamic systems having single-input/singleoutput channels. This methodology uses a set of designed simulations that are made on the differential (or difference) equations. The simulation results generate an input/output map characterizing the system. A realization algorithm based on the use of extended Hankel matrices is then applied to the input/output map to generate the dynamic matrices. If certain rank conditions are satisfied, the nonlinear state-space model describes completely the nonlinear system and has minimal order; otherwise, the state-space model is an approximation of the dynamic system and its usefulness has to be confirmed by further simulations. Such methodology is then applied to the nonlinear state-space modeling of a 3-DOF typical section immersed in a subsonic flowfield, where nonlinear phenomena appear due to the transonic Mach number considered.
Life course effects of genetic susceptibility to higher body size on body fat and lean mass: prospective cohort study

Abstract Background/objectives Different genetic variants are associated with larger body size in childhood vs adulthood. Whether and when these variants predominantly influence adiposity are unknown. We examined how genetic variants influence total body fat and total lean mass trajectories. Methods Data were from the Avon Longitudinal Study of Parents and Children birth cohort (N = 6926). Sex-specific genetic risk scores (GRS) for childhood and adulthood body size were generated, and dual-energy X-ray absorptiometry scans measured body fat and lean mass six times between the ages of 9 and 25 years. Multilevel linear spline models examined associations of GRS with fat and lean mass trajectories. Results In males, the sex-specific childhood and adulthood GRS were associated with similar differences in fat mass from 9 to 18 years; 8.3% [95% confidence interval (CI) 5.1, 11.6] and 7.5% (95% CI 4.3, 10.8) higher fat mass at 18 years per standard deviation (SD) higher childhood and adulthood GRS, respectively. In males, the sex-combined childhood GRS had stronger effects at ages 9 to 15 than the sex-combined adulthood GRS. In females, associations for the sex-specific childhood GRS were almost 2-fold stronger than the adulthood GRS from 9 to 18 years: 10.5% (95% CI 8.5, 12.4) higher fat mass at 9 years per SD higher childhood GRS compared with 5.1% (95% CI 3.2, 6.9) per-SD higher adulthood GRS. In females, the sex-combined GRS had similar effects, with slightly larger effect estimates. Lean mass effect sizes were much smaller. Conclusions Genetic variants for body size are more strongly associated with adiposity than with lean mass. Sex-combined childhood variants are more strongly associated with increased adiposity until early adulthood. This may inform future studies that use genetics to investigate the causes and impact of adiposity at different life stages.
Utilizing Latent Class Analysis to Assess the Association of Intersectional Stigma on Mental Health Outcomes Among Young Adult Black, Indigenous, and Sexual Minority Women of Color

Purpose: Discrimination has detrimental effects on mental health, particularly among Black, Indigenous, and people of color who are also sexual minority women (BIPOC SMW); however, measurement of multiple intersecting forms of discrimination (e.g., race, gender, and sexual identity discrimination among BIPOC SMW) poses methodological challenges. This analysis uses latent class analysis (LCA) to examine the influences of discrimination on mental health in a convenience sample of BIPOC SMW. Methods: Online survey data from BIPOC SMW aged 18–29 years (n = 324) were used to estimate latent classes for discrimination type (race, gender, and sexual identity). Data for this study were collected from July to October 2018. Adjusted linear regressions examined the influences of discrimination profiles on perceived stress and depressive symptoms. Results: Utilizing LCA, the following four classes emerged: (1) low discrimination; (2) mid-level discrimination; (3) high racial, medium gender, and low sexual identity discrimination; (4) high discrimination. Classes 3 and 4 were positively associated with perceived stress and depressive symptoms relative to Class 1 in adjusted models. Conclusion: This analysis highlights the importance of intersectionality and the adverse impact of multiple forms of discrimination on mental health outcomes for BIPOC SMW. Respondents reporting higher levels of racial or multiple forms of discrimination had poorer mental health outcomes. LCA is a promising analytical tool for investigating intersectional stigma and discrimination. There is an urgent need to develop tailored, culturally appropriate intersectional mental health interventions to address the multiple identities and oppressions faced by BIPOC SMW.
Analysis of vortex induced vibration frequency of super tall building based on wind tunnel tests of MDOF aero-elastic model

To study the vibration frequency of super high-rise buildings in the process of vortex induced vibration (VIV), wind tunnel tests of multi-degree-of-freedom (MDOF) aero-elastic models were carried out to measure the vibration frequency of the system directly. The effects of structural damping, wind field category, mass density, reduced wind velocity (), as well as VIV displacement on the VIV frequency were investigated systematically. It was found that the frequency drift phenomenon cannot be ignored when the building is very high and flexible. When is less than 8, the drift magnitude of the frequency is typically positive. When is close to the critical wind velocity of resonance, the frequency drift magnitude becomes negative and reaches a minimum at the critical wind velocity. When is larger than12, the frequency drift magnitude almost maintains a stable value that is slightly smaller than the fundamental frequency of the aero-elastic model. Furthermore, the vibration frequency does not lock in the vortex shedding frequency completely, and it can even be significantly modified by the vortex shedding frequency when the reduced wind velocity is close to 10.5.
Dynamic turning and running of a hexapod robot using a separated and laterally arranged two-leg model

We report on the development of separated and laterally arranged two-leg (SLTL) models with/without differentiated leg properties and their use as the dynamic running and turning templates for a hexapod robot. The laterally arranged two-leg morphology enables differential driving for turning. The differentiable leg settings, such as stiffness, enables the model to adopt unbalanced leg arrangements of empirical legged gaits, such as a tripod gait, into consideration. The fixed-point motion of the model was utilized as the main methodology to plan dynamic running and turning, in which the plot of one-step distance versus period was constructed for the legs’ operation point selection and matching. The proposed methodology was experimentally validated using four indices: turning curvature, flight phase, motion stability, and energy efficiency. The experimental results show that the running robot using the SLTL model with differentiated leg stiffness has better energy efficiency than one without by 4%, while the latter model has identical performance to the original spring-loaded inverted pendulum model with rolling contact. As for turning, the robot using the SLTL models with/without differentiated leg stiffness can preserve dynamic turning in all experiments with turning curvatures up to 0.28m−1 and 0.30m−1 , respectively, 33% and 43% more than the robot using the original model-less phase-shift turning strategy ( 0.21 m−1 ). Using the proposed model-based strategy, the flight phase of the robot turning in all curvatures (including straight running) maintains around 20%, the root-mean-squared (RMS) values of pitch and roll remains less than 3 deg , and the specific resistance ( SR ) is bounded between 0.64 and 0.73 . By contrast, the robot using the phase-shifting turning strategy can maintain dynamic motion up to a turning curvature of 0.21 m−1 . A further increase in phase shifting not only does not increase the turning curvature but also changes the robot motion from running to walking. In this case, no flight phase exists, the SR jumps up significantly, and RMS values of pitch and roll also increase dramatically. In short, the experimental validation confirms the effectiveness of the proposed methodology for initiating the dynamic running and turning of the robot.
Hirsutine ameliorates myocardial ischemia-reperfusion injury through improving mitochondrial function via CaMKII pathway

ABSTRACT Acute myocardial infarction (AMI) is the leading cause of death worldwide. Ischemia-reperfusion (I/R) injury is considered the most common contributor to AMI. Hirsutine has been shown to protect cardiomyocytes against hypoxic injury. The present study investigated whether hirsutine improved AMI induced by I/R injury and the underlying mechanisms. In our study, we used a rat model of myocardial I/R injury. The rats were given hirsutine daily (5, 10, 20 mg/kg) by gavage for 15 days before the myocardial I/R injury. Detectable changes were observed in myocardial infarct size, mitochondrial function, histological damage, and cardiac cell apoptosis. According to our findings, hirsutine pre-treatment reduced the myocardial infarct size, enhanced cardiac function, inhibited cell apoptosis, reduced the tissue lactate dehydrogenase (LDH) and reactive oxygen species (ROS) content, as well as enhanced myocardial ATP content and mitochondrial complex activity. In addition, hirsutine balanced mitochondrial dynamics by increasing Mitofusin2 (Mfn2) expression while decreasing dynamin-related protein 1 phosphorylation (p-Drp1), which was partially regulated by ROS and calmodulin-dependent protein kinase II phosphorylation (p-CaMKII). Mechanistically, hirsutine inhibited mitochondrial-mediated apoptosis during I/R injury by blocking the AKT/ASK-1/p38 MAPK pathway. This present study provides a promising therapeutic intervention for myocardial I/R injury.
RNF150 suppresses papillary thyroid carcinoma with ASK1 ubiquitination presenting a direct target via inactivating p38 signaling axis

Papillary thyroid carcinoma (PTC) is the most prevalent cancer in endocrine system. However, the pathogenic mechanism underlying tumor recurrence remains unclear. RING finger protein (RNF) family plays a crucial role in cancers whereas the role of RNF150 in PTC requires investigation. Our study aimed to explore the function and molecular mechanism of RNF150 in PTC. Here, we extracted data from The Cancer Genome Atlas‐THCA (TCGA‐THCA) data set to investigate the expression and prognostic value of RNF150 in THCA. We found that RNF150 was lowly expressed in THCA and its high expression indicated favorable prognosis in THCA patients. RNF150 could inhibit the proliferation of PTC cells and suppress p38 phosphorylation both in vitro and in vivo. Meanwhile, the knockdown of RNF150 significantly promoted the proliferation of PTC cells and the phosphorylation of p38, which could be reversed by p38 inhibitor. Besides, RNF150 could interact with ASK1 and promoted its ubiquitination. The overexpression of ASK1 exerted opposite effects against RNF150 in PTC cells. In PTC specimens, RNF150 and ASK1 shared reversed expression pattern. In conclusion, our study revealed that RNF150 could suppress the proliferation of PTC by inactivating p38 pathway and promoting ASK1 ubiquitination, which provided novel targets for PTC treatment.
'Different things at different times': Wellbeing strategies and processes identified by parents of children who have an intellectual disability or who are autistic, or both.

BACKGROUND Most parents of children with an intellectual disability or who are autistic identify positives in their family life and their own wellbeing, in addition to reported mental health challenges. Several models and interventions have been developed in relation to parent carer wellbeing. Few studies have asked parent carers how they support their own wellbeing. METHOD Adopting an interpretive phenomenological approach this study utilised semi-structured interviews. Seventeen parent carers were asked what supported their emotional wellbeing. Template Analysis was applied to develop themes. RESULTS All participants identified factors that supported their wellbeing. Themes included strategies that countered stress (time for themselves, relaxation, 'parking' difficulties) and broader wellbeing strategies (finding meaning life direction, greater understanding of child). An ongoing process of supporting wellbeing by 'Reorienting and Finding Balance' appeared central. CONCLUSIONS Self-identified, multi-dimensional strategies benefit parents' emotional wellbeing and should be considered in the context of support provided to families.
Electrical conductance sensitivity functions for square and circular cloverleaf van der Pauw geometries

We have undertaken the first systematic computational and experimental study of the sensitivity of charge transport measurement to local physical defects for van der Pauw circular and square cloverleafs with rounded internal corners and unclovered geometries, using copper-foil specimens. Cloverleafs with rounded internal corners are in common use and reduce sampling of the material near their boundaries, an advantage over sharp corners. We have defined two parameters for these cloverleafs, one of which, the ‘admittance’, is the best predictor of the sensitivity at the center of these specimens, with this sensitivity depending only weakly on the central ‘core’ size when its diameter is less than about 60% of the specimen’s lateral size. Resistive measurement errors in all four geometries are linear in areas for errors up to about 50% in sheet resistance, and superlinear above. An ASTM-based ‘standard’ cloverleaf geometry, in which the central core diameter of the specimen is 1/5 the overall length and the slit widths are 1/10 the overall length, narrows the effective area sampled by the resistive measurement by a factor of about 16 × in the small-hole limit and over 40 × for larger holes, relative to unclovered goemetries, whether square or circular, with a smooth transition in these numbers for geometries intermediate between the standard cloverleaf and unclovered specimens. We believe that this work will allow materials scientists to better estimate the impact of factors such as the uniformity of film thickness and of material purity on their measurements, and allow sensor designers to better choose an optimal specimen geometry.
Development and evaluation of cardiac implantable electronic devices knowledge scale

Patients with cardiac implantable electronic devices (CIEDs) need specific education to successfully adapt to life with new devices in their bodies. This requires specifically‐tailored training processes. To determine the educational requirements, robust measurement tools are essential; however, a literature review revealed that no reliable and valid knowledge scale currently exists for patients with CIEDs.
Epigenetic aging and PTSD outcomes in the immediate aftermath of trauma

Abstract Background Psychological trauma exposure and posttraumatic stress disorder (PTSD) have been associated with advanced epigenetic age. However, whether epigenetic aging measured at the time of trauma predicts the subsequent development of PTSD outcomes is unknown. Moreover, the neural substrates underlying posttraumatic outcomes associated with epigenetic aging are unclear. Methods We examined a multi-ancestry cohort of women and men (n = 289) who presented to the emergency department (ED) after trauma. Blood DNA was collected at ED presentation, and EPIC DNA methylation arrays were used to assess four widely used metrics of epigenetic aging (HorvathAge, HannumAge, PhenoAge, and GrimAge). PTSD symptoms were evaluated longitudinally at the time of ED presentation and over the ensuing 6 months. Structural and functional neuroimaging was performed 2 weeks after trauma. Results After covariate adjustment and correction for multiple comparisons, advanced ED GrimAge predicted increased risk for 6-month probable PTSD diagnosis. Secondary analyses suggested that the prediction of PTSD by GrimAge was driven by worse trajectories for intrusive memories and nightmares. Advanced ED GrimAge was also associated with reduced volume of the whole amygdala and specific amygdala subregions, including the cortico-amygdaloid transition and the cortical and accessory basal nuclei. Conclusions Our findings shed new light on the relation between biological aging and trauma-related phenotypes, suggesting that GrimAge measured at the time of trauma predicts PTSD trajectories and is associated with relevant brain alterations. Furthering these findings has the potential to enhance early prevention and treatment of posttraumatic psychiatric sequelae.
Development of a new low-cost computer vision system for human gait analysis: A case study

Today, human gait analysis is commonly used for clinical diagnosis, rehabilitation and performance improvement in sports. However, although previous research works in the literature address the use of motion capture systems by means of optoelectronic sensors, Inertial Measurement Units (IMUs) and depth cameras, few of them discuss their conception, guidelines and algorithms for measuring and calculating gait metrics. Moreover, commercially available motion capture systems, although efficient, are cost restrictive for most of the low-income institutions. In this research work, a new computer vision-based system (CVS) for gait analysis is developed and proposed. The aim is to close the gap found in the literature about the design and development of such systems by providing the requirements, considerations, algorithms and methodologies used to develop a gait analysis system with acceptable precision and accuracy, and at low cost. For this purpose, a linear computer vision method based on the non-homogeneous solution of the calibration matrix was used. The spatio-temporal and angular gait parameters were implemented in the proposed system, and compared with those reported in the literature. The denoising of the spatial gait trajectories and the strategies to detect gait events, are also presented and discussed. The results have shown that the proposed system is satisfactory for human gait analysis in terms of precision, computational performance and low cost.
SiGe BiCMOS balanced transmission line based on coplanar waveguide and split ring resonator

In this work, the design of a right‐/left‐handed composite transmission line implementation with passband characteristics is demonstrated on 0.13 µm silicon‐germanium bipolar CMOS (SiGe BiCMOS) technology. The proposed structure is formed by a shorted coplanar waveguide transmission line loaded with split ring resonators (SRRs). As it will be shown, by controlling the geometry of the SRRs as well as their electric coupling with the host line, it is possible to achieve a balanced passband response with widespread bandwidth at millimeter wave frequencies. Besides, this paper introduces a configuration that allows to significantly lower the resonant frequency of the SRRs by loading the rings with Metal‐Insulator‐Metal capacitors. It will be illustrated how this approach allows to reduce the center band frequency of about 40% preserving the balanced behavior and without increasing the resonator size. Finally, the proposed design was experimentally validated with a prototype exhibiting an extended passband with a fractional bandwidth of 19.3% and −3.2 dB of insertion loss around the central frequency of 60 GHz. The use of these transmission lines can be foreseeing in high‐capacity millimeter wave communication systems which require compact passband blocks integrated on chip.
Animal Models for the Study of Food Allergies

In the last decades there has been a parallel increase in the incidence of food allergies and the development of experimental mouse models. These models have improved our understanding of the disease but do have limitations. For instance, they do not entirely reproduce human pathophysiology; moreover, validated and predictive models are absent. Nevertheless, the models provide opportunities to further understand fundamental disease mechanisms. The selection of any of the many experimental models depends on the research aims. This overview focuses on IgE‐mediated food allergy in wild‐type, genetically modified, and humanized mouse models and presents a comprehensive overview of the currently used protocols, challenges, and limitations, as well as provides guidelines for model selection based on the three critical areas of research: 1) safety assessment, 2) evaluating treatment, and 3) elucidating pathophysiology. © 2023 The Authors. Current Protocols published by Wiley Periodicals LLC.