Miracle-dz/UniFAR-FTUs huggingface dataset:
Frontal plane pelvis and hip kinematics of transfemoral amputee gait. Effect of a prosthetic foot with active ankle dorsiflexion and individualized training – a case study

Abstract Following a transfemoral amputation (TFA), numerous changes in movement patterns during gait can occur. Frontal plane hip and pelvis compensatory strategies are recognized among individuals with a TFA, some thought to aid in safe foot clearance during the swing phase of gait. The aim of this case study was to evaluate the effect of an active ankle dorsiflexion provided by a microprocessor-controlled prosthetic foot, as well as the effect of individualized training on these parameters. In this case study, a 42-year-old male underwent 3 D gait analysis. Data were captured for two conditions; with a microprocessor-controlled prosthetic foot with active/inactive ankle dorsiflexion, during two sessions; before and after 6 weeks of individualized training. The main outcomes analyzed were frontal plane pelvis and hip kinematics. Prior to training, pelvic lift decreased slightly, coupled with an increase in hip abduction, during gait with the active ankle dorsiflexion of a prosthetic foot, compared to inactive dorsiflexion. After the training period, the pelvic lift was further decreased and an increase in hip adduction was concurrently seen. The results of this case study indicate a positive effect of the active dorsiflexion of the prosthetic foot but highlight the need for specific training after prescription of a microprocessor prosthetic foot. Implications for rehabilitation Decreased compensatory changes seen in this case study indicate a positive effect of the active dorsiflexion of the prosthetic foot, especially after a 6-week training period. Individualized training should be aimed at helping the user utilizing the benefits of the active dorsiflexion of the microprocessor prosthetic foot, implementing exercises that improve gait quality, technical training for this specific foot, strength training and balance exercises.
Cost-effectiveness of biological treatment sequences for fistulising Crohn’s disease across Europe

Background In clinical practice, treatment sequences of biologicals are applied for active fistulising Crohn’s disease, however underlying health economic analyses are lacking. Objective The purpose of this study was to analyse the cost-effectiveness of different biological sequences including infliximab, biosimilar-infliximab, adalimumab and vedolizumab in nine European countries. Methods A Markov model was developed to compare treatment sequences of one, two and three biologicals from the payer’s perspective on a five-year time horizon. Data on effectiveness and health state utilities were obtained from the literature. Country-specific costs were considered. Calculations were performed with both official list prices and estimated real prices of biologicals. Results Biosimilar-infliximab is the most cost-effective treatment against standard care across the countries (with list prices: €34684–€72551/quality adjusted life year; with estimated real prices: €24364–€56086/quality adjusted life year). The most cost-effective two-agent sequence, except for Germany, is the biosimilar-infliximab–adalimumab therapy compared with single biosimilar-infliximab (with list prices: €58533–€133831/quality adjusted life year; with estimated prices: €45513–€105875/quality adjusted life year). The cost-effectiveness of the biosimilar-infliximab–adalimumab–vedolizumab three-agent sequence compared wit biosimilar-infliximab –adalimumab is €87214–€152901/quality adjusted life year. Conclusions The suggested first-choice biological treatment is biosimilar-infliximab. In case of treatment failure, switching to adalimumab then to vedolizumab provides meaningful additional health gains but at increased costs. Inter-country differences in cost-effectiveness are remarkable due to significant differences in costs.
Hospital and clinical care costs associated with atrial fibrillation for Medicare beneficiaries in the Cardiovascular Health Study and the Framingham Heart Study

Background: Atrial fibrillation is increasingly prevalent as the US population ages and is associated with significant morbidity and mortality. Care for patients with atrial fibrillation can be costly, US health care costs are comparatively high, and there are few cost estimates available that incorporate detailed measurement of comorbidities and their effects on costs. Methods and Results: In the Cardiovascular Health Study and the Framingham Heart Study, participants aged 65 years or older with newly diagnosed atrial fibrillation were matched on age and follow-up time to referents free of atrial fibrillation. The total clinical and hospital medical costs paid by Medicare Parts A and B (drug costs from Medicare Part D costs were not included) in the year prior to diagnosis (or matching) were compared with costs in the following year. Estimates were adjusted for other medical conditions and adjusted to 2009 dollars. In the Cardiovascular Health Study, 513 participants were diagnosed with new-onset atrial fibrillation and survived 30 days post-atrial fibrillation diagnosis, and 513 referents (as a control cohort) were identified, with a mean age of 77 years. In the Framingham Heart Study, we identified 336 participants diagnosed with atrial fibrillation, who survived 30 days post-atrial fibrillation diagnosis and matched these participants to 336 referents. We compared these new-onset atrial fibrillation participants with referents, using a difference in difference design to account for both time trends and differences between the two groups. The adjusted incremental cost for participants with atrial fibrillation, compared with referents, was US$18,060 (95% confidence interval: US$14,965–US$21,155) in the Cardiovascular Health Study and US$20,012 (95% confidence interval: US$15,057–US$24,966) in the Framingham Heart Study. The pooled estimate was US$18,601 (95% confidence interval: US$15,981–US$21,234). Conclusion: Atrial fibrillation was associated with increased costs in the year after diagnosis in two community-based cohorts, even after careful accounting for age, time period, and systematically measured comorbidities.
An analysis of the optimum interactive mode of control message for ad hoc mobile networks

The wireless ad-hoc network is self-organizing. rapidly deployable and without fixed infrastructure. The hosts in ad-hoc networks communicate with each other over a wireless channel without any centralized control. The basic problem is to obtain a distributed routing scheme so that any mobile host can transmit/receive data from any other host in the network. As we know, in terms of the way in which nodes obtain information, routing protocols for ad-hoc networks have been classified as table-driven and on-demand. In table-driven routing protocols, the interactive mode of the control message has a great effect on network performance. In this paper, a novel concept of "different interactive mode for different scale of network" is presented. The network performance is optimized by using appropriate periodical or nonperiodical interactive mode based on the scale of the network. A different interactive mode is given for different scales of the network by theoretical analysis and algorithm simulation. The simulation result is of great practicability.
Tree Structured Dirichlet Processes for Hierarchical Morphological Segmentation

This article presents a probabilistic hierarchical clustering model for morphological segmentation. In contrast to existing approaches to morphology learning, our method allows learning hierarchical organization of word morphology as a collection of tree structured paradigms. The model is fully unsupervised and based on the hierarchical Dirichlet process. Tree hierarchies are learned along with the corresponding morphological paradigms simultaneously. Our model is evaluated on Morpho Challenge and shows competitive performance when compared to state-of-the-art unsupervised morphological segmentation systems. Although we apply this model for morphological segmentation, the model itself can also be used for hierarchical clustering of other types of data.
Stochastic Successive Convex Optimization for Two-Timescale Hybrid Precoding in Massive MIMO

Hybrid precoding, which consists of an RF precoder and a baseband precoder, is a popular precoding architecture for massive multiple-input multiple-output (MIMO) due to its low hardware cost and power consumption. In conventional hybrid precoding, both RF and baseband precoders are adaptive to the real-time channel state information. As a result, an individual RF precoder is required for each subcarrier in wideband systems, leading to high implementation cost. To overcome this issue, two-timescale hybrid precoding (THP), which adapts the RF precoder to the channel statistics, has been proposed. Since the channel statistics are approximately the same over different subcarriers, only a single RF precoder is required in THP. Despite the advantages of THP, there lacks a unified and efficient algorithm for its optimization due to the nonconvex and stochastic nature of the problem. Based on stochastic successive convex approximation (SSCA), we propose an online algorithmic framework called SSCA-THP for general THP optimization problems, in which the hybrid precoder is updated by solving a quadratic surrogate optimization problem whenever a new channel sample is obtained. Then, we prove the convergence of SSCA-THP to stationary points. Finally, we apply SSCA-THP to solve three important THP optimization problems and verify its advantages over existing solutions.
Emotional and Psychosocial Factors Associated With Drunkenness and the Use of Tobacco and Cannabis in Adolescence: Independent or Interactive Effects?

ABSTRACT Background: Although previous research has examined emotional and psychosocial factors associated with substance use, there is a paucity of studies examining both at the same time, and insufficient attention has been paid to how these factors may interact. Objectives: The aim of this study was to simultaneously examine the contributions from emotional (emotional control and depression) and psychosocial (peers' conventional behavior, peers' substance use and parent–child relationships) factors to drunkenness and the use of tobacco and cannabis in adolescence. Methods: Sample consisted of 1,752 adolescents aged 15 to 16 years who had participated in the 2014 edition of the WHO Health Behaviour in School-aged Children survey in Spain. Data were collected by means of anonymous online questionnaires, and hierarchical multiple regression models (with sex and age as controls and including interactions among the examined predictors) were used for statistical analysis. Results: Emotional and psychosocial factors showed significant interactive effects on substance use. Emotional control, which tended to buffer the effects of potential risk factors, and peers' substance use were consistent predictors of substance use. In contrast, the role of other factors depended on the substance under study, with depression and peers' conventional behavior being part of interactive terms for tobacco use and cannabis use only, and the quality of parent–child relationships being absent from the final model on cannabis use. Conclusions/Importance: Exploring interactions and potential substance-specific effects is fundamental to reach a better understanding of how emotional and psychosocial factors work in concert relative to substance use in adolescence.
Design and optimization of a 3‐coil resonance‐based wireless power transfer system for biomedical implants

This paper presents a resonance‐based wireless power transfer system using a single layer of inductor coil windings, in a pancake configuration, in order to obtain a compact system for implantable electronic applications. We theoretically analyzed the system and characterized it by measuring its inductance, self‐resonant frequency, and quality factor Q. In our resonance‐based wireless power transfer prototype, we proposed a 3‐coil system, using two 15‐mm radius implantable coils, with a resonance frequency of 6.76 MHz. This system can effectively transfer power for a distance of up to 50 mm. Moreover, our proposed 3‐coil system can achieve a high Q‐factor and has a comparable power transfer efficiency (PTE) to previously reported works about 3‐coil and 4‐coil systems. The experimental PTE can achieve 82.4% at a separation distance of 20 mm and more than 10% PTE at a distance of 40 mm. Copyright © 2014 John Wiley & Sons, Ltd.
Extracellular Vesicles from Hypoxic Adipocytes and Obese Subjects Reduce Insulin‐Stimulated Glucose Uptake

Scope We investigate the effects of extracellular vesicles (EVs) obtained from in vitro adipocyte cell models and from obese subjects on glucose transport and insulin responsiveness. Methods and results EVs are isolated from the culture supernatant of adipocytes cultured under normoxia, hypoxia (1% oxygen), or exposed to macrophage conditioned media (15% v/v). EVs are isolated from the plasma of lean individuals and subjects with obesity. Cultured adipocytes are incubated with EVs and activation of insulin signalling cascades and insulin‐stimulated glucose transport are measured. EVs released from hypoxic adipocytes impair insulin‐stimulated 2‐deoxyglucose uptake and reduce insulin mediated phosphorylation of AKT. Insulin‐mediated phosphorylation of extracellular regulated kinases (ERK1/2) is not affected. EVs from individuals with obesity decrease insulin stimulated 2‐deoxyglucose uptake in adipocytes (p = 0.0159). Conclusion EVs released by stressed adipocytes impair insulin action in neighboring adipocytes.
Poliovirus Replicon RNA Generation, Transfection, Packaging, and Quantitation of Replication

Poliovirus is a prototype member of the Enterovirus genus of the Picornaviridae family of small positive strand RNA viruses, which include important human and animal pathogens. Quantitative assessment of viral replication is very important for investigation of the virus biology and the development of anti‐viral strategies. The poliovirus genome structure allows replacement of structural genes with a reporter protein, such as a luciferase or a fluorescent protein, whose signals can be detected and quantified in vivo, thus permitting observation of replication kinetics in live cells. This paper presents protocols for poliovirus replicon RNA production, purification, packaging and transfection, as well as techniques for monitoring Renilla luciferase replication signal in living cells. © 2018 by John Wiley & Sons, Inc.
A Three-Step Resolution-Reconfigurable Hazardous Multi-Gas Sensor Interface for Wireless Air-Quality Monitoring Applications

This paper presents a resolution-reconfigurable wide-range resistive sensor readout interface for wireless multi-gas monitoring applications that displays results on a smartphone. Three types of sensing resolutions were selected to minimize processing power consumption, and a dual-mode front-end structure was proposed to support the detection of a variety of hazardous gases with wide range of characteristic resistance. The readout integrated circuit (ROIC) was fabricated in a 0.18 μm CMOS process to provide three reconfigurable data conversions that correspond to a low-power resistance-to-digital converter (RDC), a 12-bit successive approximation register (SAR) analog-to-digital converter (ADC), and a 16-bit delta-sigma modulator. For functional feasibility, a wireless sensor system prototype that included in-house microelectromechanical (MEMS) sensing devices and commercial device products was manufactured and experimentally verified to detect a variety of hazardous gases.
Wireless Controlled Local Heating and Mixing Multiple Droplets Using Micro-Fabricated Resonator Array for Micro-Reactor Applications

This paper reported a wireless controlled micro-actuator system for rapid heating and mixing of multiple droplets using integrated arrays of micro-fabricated 2.5 GHz solid-mounted thin-film piezoelectric resonators (SMRs) and a millimeter-scale omnidirectional antenna. An equivalent circuit is proposed to analyze the mechanism of the heating, mixing of the SMR, and the wireless communication system. The heating and mixing rate can be tuned by adjusting the input power as well as the transmission distance between the transmitting antenna and the receiving antennas. A heating rate up to 3.7 °C per second and ultra-fast mixing of the droplet was demonstrated with the wireless microsystem. In addition, two types of circuits, H-shaped and rake-shaped, were designed and fabricated for parallel operating actuator array and controlling the power distribution with the array. Both uniform and gradient heating of the multiple droplets are achieved, which can be potentially applied for developing high-throughput wireless micro-reactor system.
Mesoscale organization of domains in the plasma membrane – beyond the lipid raft

Abstract The plasma membrane is compartmentalized into several distinct regions or domains, which show a broad diversity in both size and lifetime. The segregation of lipids and membrane proteins is thought to be driven by the lipid composition itself, lipid–protein interactions and diffusional barriers. With regards to the lipid composition, the immiscibility of certain classes of lipids underlies the “lipid raft” concept of plasmalemmal compartmentalization. Historically, lipid rafts have been described as cholesterol and (glyco)sphingolipid-rich regions of the plasma membrane that exist as a liquid-ordered phase that are resistant to extraction with non-ionic detergents. Over the years the interest in lipid rafts grew as did the challenges with studying these nanodomains. The term lipid raft has fallen out of favor with many scientists and instead the terms “membrane raft” or “membrane nanodomain” are preferred as they connote the heterogeneity and dynamic nature of the lipid-protein assemblies. In this article, we will discuss the classical lipid raft hypothesis and its limitations. This review will also discuss alternative models of lipid-protein interactions, annular lipid shells, and larger membrane clusters. We will also discuss the mesoscale organization of plasmalemmal domains including visible structures such as clathrin-coated pits and caveolae.
Differential Risk of Increasing Psychotropic Polypharmacy Use in Children Diagnosed With ADHD as Preschoolers.

OBJECTIVE To characterize treatment trajectories in children newly diagnosed with attention-deficit/hyperactivity disorder (ADHD). METHODS We utilized billing records of children aged 3 to 18 years in 28 US states' Medicaid programs between 1999 and 2006. Children entered the cohort at the first ADHD diagnosis (ICD-9-CM: 314.00) preceded by ≥ 6 months with no psychotropic medication use and no psychiatric diagnoses. We followed children for 5 years to assess use of (1) psychotropic polypharmacy (the use of ≥ 3 psychotropic medication classes), (2) antipsychotics, and (3) anticonvulsants. We used mixed-effects logistic regression to model the probability of each utilization outcome as a function of age at ADHD diagnosis and follow-up year, adjusted for sociodemographic factors. RESULTS Our cohort included 16,626 children of whom 79.2% received stimulants, 33.2% antidepressants, and 23.1% α-agonists, and 25.3% received psychotropic polypharmacy treatment at least once in a subsequent year. Antipsychotics (7.1%-14.7%), anticonvulsants (4.0%-7.9%), and psychotropic polypharmacy (8.5%-13.4%) use increased from year 1 to 5, but this increase was confined to children between ages 3 and 9 at ADHD diagnosis. Children diagnosed at age 3 had the most substantial increase in each outcome (OR = 1.80 [95% CI, 1.36-2.38]; 1.85 [1.38-2.47]; 2.14 [1.45-3.16]), respectively. Also, 39.1% of 9,680 children-years with psychotropic polypharmacy therapy had no psychiatric diagnoses other than ADHD. CONCLUSIONS Psychotropic polypharmacy, antipsychotic, and anticonvulsant use increased with each year of follow-up. This effect was strongly mediated by the age of ADHD diagnosis with substantial increases in preschoolers but no corresponding effect in older children. It was only partially explained by physician diagnoses of concomitant mental disorders.
Nanotechnologies in tissue engineering

Abstract As an interdisciplinary field, tissue engineering (TE) aims to regenerate tissues by combining the principles of cell biology, material science, and biomedical engineering. Nanotechnology creates new materials that might enable further tissue-engineering applications. In this context, the introduction of nanotechnology and nanomaterials promises a biomimetic approach by mimicking nature. This review summarizes the current scope of nanotechnology implementation possibilities in the field of tissue engineering of bone, muscle, and vascular grafts with forms on nanofibrous structures.
Distributed Voltage Control with Electric Springs: Comparison with STATCOM

The concept of electric spring (ES) has been proposed recently as an effective means of distributed voltage control. The idea is to regulate the voltage across the critical (C) loads while allowing the noncritical (NC) impedance-type loads (e.g., water heaters) to vary their power consumption and thus contribute to demand-side response. In this paper, a comparison is made between distributed voltage control using ES against the traditional single point control with STATic COMpensator (STATCOM). For a given range of supply voltage variation, the total reactive capacity required for each option to produce the desired voltage regulation at the point of connection is compared. A simple case study with a single ES and STATCOM is presented first to show that the ES and STATCOM require comparable reactive power to achieve similar voltage regulation. Comparison between a STATCOM and ES is further substantiated through similar case studies on the IEEE 13-bus test feeder system and also on a part of the distribution network in Sha Lo Wan Bay, Hong Kong. In both cases, it turns out that a group of ESs achieves better total voltage regulation than STATCOM with less overall reactive power capacity. Dependence of the ES capability on proportion of critical and NC load is also shown.
Sketching for Principal Component Regression

Principal component regression (PCR) is a useful method for regularizing linear regression. Although conceptually simple, straightforward implementations of PCR have high computational costs and so are inappropriate when learning with large scale data. In this paper, we propose efficient algorithms for computing approximate PCR solutions that are, on one hand, high quality approximations to the true PCR solutions (when viewed as minimizer of a constrained optimization problem), and on the other hand entertain rigorous risk bounds (when viewed as statistical estimators). In particular, we propose an input sparsity time algorithms for approximate PCR. We also consider computing an approximate PCR in the streaming model, and kernel PCR. Empirical results demonstrate the excellent performance of our proposed methods.