Miracle-dz/UniFAR-FTUs huggingface dataset:
The effect of tubing dwell time on insulin adsorption during intravenous insulin infusions.

BACKGROUND Insulin adsorbs to plastic tubing, which decreases the concentration of an insulin solution delivered from an intravenous infusion set. Dwelling insulin within tubing before starting the infusion decreases adsorption but delays treatment initiation and wastes time in infusion preparation. The lack of data on dwell time effects results in wide variability in practice. We aim to determine the effect of dwell time on insulin concentration from intravenous infusion tubing. MATERIALS AND METHODS In this in vitro study, we used insulin solutions with concentrations of 0.1 unit/mL, 1 unit/mL, and 10 units/mL. Each solution dwelled in intravenous infusion sets for 0, 15, 30, or 60 min. After the dwell, we measured insulin concentrations from the solution bags and tubing. We repeated each insulin concentration-dwell time combination five times. Comparisons were performed using analyses of variance. RESULTS For each of the three insulin concentrations, the mean insulin concentrations from the tubing were not significantly different between dwell times. Duration of dwell time did not affect insulin adsorption in polypropylene intravenous infusion sets. CONCLUSIONS We recommend that following a 20-mL flush, insulin infusions can be started without any dwell time. Removal of dwell times may improve clinical practice by minimizing preparation time and will allow faster initiation of insulin infusion therapy.
Fast speech keyword recognition based on improved filler model

Most traditional template matching based keyword recognition methods don't need training data, just rely on frame matching. However, the recognition speed is relatively slow and it can't be used in practice. The LVCSR-based method needs to convert the speech signal into text signal before recognition, which has an important impact on the final recognition performance. In this paper, we propose a method based on the filler model framework, which selects the syllable instead of using words as the modelling unit. The search space of our method is composed of all the syllables rather than words. By fixing a part of the Hidden Markov Model (HMM) state probability matrix parameters, our method can obtain important model parameters for a more sufficient training. Meanwhile, a two-stage model training strategy is proposed to reduce the artificial markings of training speech and Linear Discriminant Analysis (LDA) is introduced to improve the efficiency of system identification. Experimental results show that our method can effectively improve the detection rate of keywords and achieve similar detection time under the same conditions.
Design and implementation of microwave dual‐band bandpass filters using microstrip composite resonators

In this article, a novel type of dual‐band bandpass filter (DBBPF) is proposed by using microstrip composite resonators, and its design method is developed based on the lumped‐element equivalent circuit of the filter. Both the midband frequencies and the passband widths of the dual bands of the filter can be controlled separately. Four DBBPFs with different specifications are designed, fabricated, and tested, and the measured frequency responses agree favorably with theoretical predictions, validating sufficiently the proposed design theory and filter structures. © 2008 Wiley Periodicals, Inc. Microwave Opt Technol Lett 50: 1628–1632, 2008; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.23451
Investigations Of The G Factors Of Fe+ In Mgo And Cao

The g factors of Fe+ in MgO and CaO are theoretically investigated by the perturbation formula of the g factor of a 3d7 ion in cubic octahedral symmetry based on the cluster approach. By considering the partial quenching of the spin-orbit coupling interaction and the effective Land´e factor due to the dynamic Jahn-Teller effect (DJTE), the experimental g factors of the studied systems are reasonably interpreted. It can be suggested that the small g factors of the Fe+ centers in MgO and CaO can be likely attributed to the DJTE, rather than the covalency effect within the scheme of the static crystalfield model.
Comparison of turbulent premixed flames at different turbulence levels

In the flamelet regime, turbulent combustion is characterized by a reaction-zone thickness much smaller than the Kolmogorov length scale (Peters 2000). Thus the internal flame structure remains unaffected by turbulence, and can be approximated by a thin interface separating burnt from unburnt gases. An equation describing the dynamics of such a surface has been presented in Williams (1985) and is now known as the G-equation. It is based on the flamelet assumption and uses the general level-set methodology described in detail in Sethian (1996) and Osher & Fedkiw (2002). Variants of this model have been used in conjunction with Reynoldsaveraged Navier-Stokes models (RANS) (Peters 2000; Herrmann 2000) or large-eddy simulation models (LES) (Smith & Menon 1997; Kim & Menon 2000; Chakravarthy & Menon 2000; Sankaran & Menon 2000; Duchamp de Lageneste & Pitsch 2001). Pitsch & Duchamp de Lageneste (2002) have formulated a level-set method based on the G-equation for LES of premixed turbulent combustion in which a specific filtering procedure respecting the particular symmetries of the G-equation (Oberlack et al. 2001) has been used. As a validation of the model and to demonstrate the benefits of LES in turbulent combustion modeling, we report in the present paper on the LES of two Bunsen flames, the F3-flame and the F2-flame from the series of experiments by Chen et al. (1996). These flames are nominally in the regime of thin reaction zones (Peters 2000) but F2, which has a higher turbulence level and hence a higher Karlovitz number, is closer to the regime of distributed reaction zones than F3. After briefly recalling the main equations used in the level-set modeling of premixed turbulent combustion, we will compare results from the simulations to the experimental data of Chen et al. (1996). As a first step, results from the cold-flow simulations will be presented to ensure that adequate boundary conditions are used in the LES. This cold flow will also be used as a validation of the flow solver as well as a reference computation, to be used later to assess the ability of the LES to capture flow changes due to combustion. We will then present and discuss results concerning the reacting cases, where timeaveraged quantities such as axial velocity, turbulent kinetic energy and temperature will be compared to the data of Chen et al. (1996).
Therapeutic Targeting of Syk in Autoimmune Diabetes

In APCs, the protein tyrosine kinase Syk is required for signaling of several immunoreceptors, including the BCR and FcR. We show that conditional ablation of the syk gene in dendritic cells (DCs) abrogates FcγR-mediated cross priming of diabetogenic T cells in RIP-mOVA mice, a situation phenocopied in wild-type RIP-mOVA mice treated with the selective Syk inhibitor R788. In addition to blocking FcγR-mediated events, R788 also blocked BCR-mediated Ag presentation, thus broadly interrupting the humoral contributions to T cell-driven autoimmunity. Indeed, oral administration of R788 significantly delayed spontaneous diabetes onset in NOD mice and successfully delayed progression of early-established diabetes even when treatment was initiated after the development of glucose intolerance. At the DC level, R788 treatment was associated with reduced insulin-specific CD8 priming and decreased DC numbers. At the B cell level, R788 reduced total B cell numbers and total Ig concentrations. Interestingly, R788 increased the number of IL-10–producing B cells, thus inducing a tolerogenic B cell population with immunomodulatory activity. Taken together, we show by genetic and pharmacologic approaches that Syk in APCs is an attractive target in T cell-mediated autoimmune diseases such as type 1 diabetes.
Arteriolar length-diameter (L:D) ratio: a geometric parameter of the retinal vasculature diagnostic of hypertension.

Assessment of the microvasculaturH in humans in vivo is difficult. The retinal microcirculation is attractive in that it is similar lo the cerebral circulation, it approximates to being two-dimensional, and it cnn be viewed directly with ease in vivo. Quantitative assessments of retinal microvessels may be confounded by varying refractive indices and magnification by the optic media, but this may be avoided by expressing measures as ratios or percentages. 1 Nowadays most hypertensive patients present with subtle retinal vessel changes dramatic manifestations of hypertensive retinopathy such as haemorrhages or exudates are but rarely seen. Under such circumstances qualitative grading has been shown to be inaccurate. 2.3 We and other researchers have previously shown changes in microvessel calibre and numbers in hypertensive subjects by comparison to normotensive subjects. • More recently we have shown that aging and hypertension are associated with abnormal vascular branching geometry subjects with hypertension, or of advanced age, had narrower bifurcation angles than did normotensive young controls . Narrowed bifurcation angles may he related to reduced microvascular density. ' An obvious additional influence on vascular spacing and density is the distance between bifurcations or microvessel segment length. In this ·study we compared retinal arteriolar segment lengths (expressed as length-diameter (L:D) ratios) in normotensive and hypertensive subjects.
Managing for Stakeholders: The Role of Stakeholder-Based Management in Project Success

Today, project management practices play a key role in different industries and sectors. Project management is promoted as an organizational strategic component that leads innovation, creates value and turns vision into reality. Despite the importance of projects and project management their high rate of failures and challenges is a major concern of both industry and academia. Among the reasons that affect project outcomes, stakeholder influential attributes and more importantly, their understanding and effective utilization and management are identified as the key to project success. This study utilizes the body of knowledge developed in the field of project management and uses stakeholder theory combined with a number of complementary theories to achieve its goals and objectives. The study moves beyond the traditional power-based frameworks employing six key influential attributes to examine their direct and mediating effects on project success. The quantitative survey data are analyzed using SEM statistical techniques and procedures to produce research results. The research results have led to the development of a new typology of stakeholder influential attributes (TSIA) and a stakeholder-based project management model (SBPMM) that aid managing for stakeholders’ strategy and principle.
QUASAR SELECTION BASED ON PHOTOMETRIC VARIABILITY

We develop a method for separating quasars from other variable point sources using Sloan Digital Sky Survey (SDSS) Stripe 82 light-curve data for ∼ 10,000 variable objects. To statistically describe quasar variability, we use a damped random walk model parametrized by a damping timescale, τ, and an asymptotic amplitude (structure function), SF∞. With the aid of an SDSS spectroscopically confirmed quasar sample, we demonstrate that variability selection in typical extragalactic fields with low stellar density can deliver complete samples with reasonable purity (or efficiency, E). Compared to a selection method based solely on the slope of the structure function, the inclusion of the τ information boosts E from 60% to 75% while maintaining a highly complete sample (98%) even in the absence of color information. For a completeness of C = 90%, E is boosted from 80% to 85%. Conversely, C improves from 90% to 97% while maintaining E = 80% when imposing a lower limit on τ. With the aid of color selection, the purity can be further boosted to 96%, with C = 93%. Hence, selection methods based on variability will play an important role in the selection of quasars with data provided by upcoming large sky surveys, such as Pan-STARRS and the Large Synoptic Survey Telescope (LSST). For a typical (simulated) LSST cadence over 10 years and a photometric accuracy of 0.03 mag (achieved at i ≈ 22), C is expected to be 88% for a simple sample selection criterion of τ>100 days. In summary, given an adequate survey cadence, photometric variability provides an even better method than color selection for separating quasars from stars.
RANDOMIZED TRIAL OF D‐CYCLOSERINE ENHANCEMENT OF COGNITIVE‐BEHAVIORAL THERAPY FOR PANIC DISORDER

Initial studies have provided a mixed perspective of the efficacy of d‐cycloserine (DCS) for augmenting the efficacy of exposure‐based cognitive behavioral therapy (CBT) for panic disorder. In this multicenter trial, we examine the magnitude of DCS augmentation effects for an ultra‐brief program of CBT.
Optimization of home automation systems based on human motion and behaviour

Given the reduction in cost and power supply of wireless systems along with the increasing demand for conserving energy when controlling consumer electronics and home appliances, smart home automation systems are more popular than ever before. A home automation system designed for reducing electricity consumption typically uses different sensors located in different areas of the house that communicate with a process unit to control the lights, HVAC system, consumer electronics, etc., so that the process unit turns these systems on only when needed. Additionally, other automated tasks may include setting the HVAC to an energy saving setting while the house is unoccupied, and restoring the normal setting when an occupant is about to return. To optimize current home automation systems, it is proposed that by considering the behavior of the residents inside a house, the power consumed on a daily basis will be significantly reduced. Such a power reduction could be achieved by both the sensors that monitor the motions of the residents inside a house and the adaptive control system that promptly adjusts itself to the most efficient level to further reduce electricity consumption based on different actions, habits and lifestyle of the residents.
IoT Service Store: A Web-based System for Privacy-aware IoT Service Discovery and Interaction

Internet of Things (IoT) services collect and analyze sensor data to provide users with intelligent functionality tailored to their needs. However, users are often unaware of privacy risks relating to sensor data collection and the inferences possible from this data. Even if aware of the data collection and possible inferences, users lack ways to manage the collection, processing, and transmission of the data. To address this problem, we designed and implemented a novel web-based system called IoT Service Store (ISS) that allows users to easily browse nearby IoT services, understand the privacy implications of these IoT services, and control the collection and usage of sensor data. To better inform users about the potential privacy risks in using IoT services, ISS displays detailed information on what personal information might be inferred from the sensor data being collected. ISS also allows each user to give a rating or to view other users’ ratings regarding the perceived utility-privacy tradeoff for each IoT service. ISS is designed to communicate with IoT services to modify those services’ data collection and usage practices, according to a user’s privacy preferences. Using the preferred privacy settings in the proposed system, users will be more confident in their decisions of whether to subscribe to IoT services and less concerned with privacy risks in using the services. Keywords—privacy awareness system, collaborative privacy management, personal information inference, Internet of Things
Dual band filter with quad-mode stripline resonator

This paper presents a quad-mode resonator with a square patch and via holes, which connects to the upper and lower ground planes through the via holes. This resonator has four fundamental modes, incorporating three transmission resonance modes and one quasi-lumped component resonance mode. The resonant frequencies of these modes can be shown to be easily handled by an increase and decrease in the number of via holes connected to the square patch and the ground. Furthermore, the dual band filter in the size of 5.0 mm × 5.0 mm × 1.5 mm is designed by a single resonator and demonstrated.
In vitro Skin Permeation and Penetration of Nonivamide from Novel Film-Forming Emulsions

The purpose of this study was to develop film-forming emulsions (FFE) facilitating long-term treatment of chronic pruritus with capsaicinoids. To this end, oil-in-water emulsions, which comprise dispersions of sustained-release polymers, were examined. Such emulsions form a film when applied to the skin and encapsulate the oily drug solution in a dry polymeric matrix. Permeation of the antipruritic drug nonivamide (NVA) is controlled by the matrix. Permeation rates of NVA from FFE and its concentration in the skin are equivalent to those achieved with a conventional semisolid formulation, but can be maintained for a longer period of time. FFE may therefore improve the treatment of chronic pruritus with capsaicinoids by enhancing patient compliance by means of a sustained-release regimen.
Contribution of Rectus Femoris and Vasti to Knee Extension An Electromyographic Study

Electromyographic (EMG) activity was recorded from the five components of the quadriceps during maximum knee extension with the limb in six combinations of hip and knee flexion: the hip at 0°, 40°, and 80° with the knee at 15° and 60°. None of the six positions could isolate the vasti from the rectus femoris. The highest EMG activity of all five muscles was recorded with the limb in 40° hip flexion and 15° knee flexion. The lowest EMG activity was recorded with the hip at 0° and the knee at 60° flexion. Overall, the knee extension torques were 40% higher with the knee at 60° flexion than at 15° flexion. The lowest torques were generated with the limb positioned at 80° hip flexion and 15° knee flexion. During maximum knee extension, the vasti muscles do not work in isolation of the rectus femoris, regardless of the amount of hip flexion. All portions of the quadriceps worked in all positions, which suggests these muscles may be strengthened effectively in many different positions to accommodate the patient's comfort and interest.
LOW LOSS RF MEMS PHASE SHIFTERS FOR SATELLITE COMMUNICATION SYSTEMS

RF MEMS represents an attractive enabling technology for future satellite communications systems. In particular, MEMS RF switch devices are characterized by low insertion loss, low power consumption, and minimal weight and volume, offering significant systemlevel benefits to space-based applications. The mechanical operation of the MEMS devices is expected to result in improved stability in radiation environments relative to semiconductor devices. A number of circuit applications of the MEMS technology have been explored, such as MEMS-based phase shifter circuits for electronically scanned antennas. These phase shifter concepts have been demonstrated and shown to provide unique capabilities with respect to loss, bandwidth, size and weight relative to competing technologies. A novel low-loss phase shifter, based on RF MEMS series switches and a single-pole four-throw (SP4T) switch design, is presented. The phase shifter is fabricated on a 200 μm-thick GaAs substrate, and occupies less than 12 mm 2 of space. The measured average insertion loss is ‐0.55 dB, with a reflection loss of less than ‐17 dB over the 8-12 GHz frequency range. The 2-bit phase shifter performs well up to 18 GHz with an average loss of only ‐0.85 dB and a near-perfect linear phase shift from DC-18 GHz. This is the lowest loss MMIC-type phase shifter to-date at 8-18 GHz.
Estrogen and follicle stimulation hormone interactions on follicle growth in rats.

The effects of an estrogen (Diethylstilbestrol, DES) and its interaction with follicle stimulating hormone on the ovary were studied in hypophysectomized female rats. DES stimulated increased incorporation of tritiated thymidine into granulosa cell DNA, followed by an increase in the number of granulosa cells. In addition, DES increased ovarian incorporation of tritiated FSH, an effect which was shown to be time and dose related, inhibited by unlabeled FSH, and not seen with tritiated HCG. FSH was less effective than estrogen in stimulating granulosa proliferation but appeared to stimulate antrum formation after appropriate estrogen induced maturation. When the two hormones were given sequentially, there was a marked enhancement in the number of follicles containing antra and a marked increase in ovarian weight. The possible physiologic significance of these observations is discussed. (Endocrinology 90: 1492, 1972)
Obtaining accurate hemodynamics from echocardiography: achieving independence from right heart catheterization

Purpose of review Accurate noninvasive evaluation of right heart hemodynamics is an essential component of the comprehensive cardiac examination. We aim to highlight recent advances in echocardiography allowing integration of measurements to obtain diagnostic accuracy. Recent findings Reports have advocated different imaging methods to describe right ventricular function and pulmonary artery pressure. Recent review articles provide comprehensive resources for the physician or technologist, and other articles compare echocardiography techniques, including strain imaging and three-dimensional echocardiography. We discuss the descriptions of the accuracy of Doppler echocardiography in comparison with cardiac catheterization. Summary Several measurements should be taken together for an accurate interpretation of right heart hemodynamics. We advocate the measurement of the tricuspid regurgitation gradient, pulmonary regurgitation gradient, pulmonary artery stroke distance (velocity time integral; VTI), evaluation of right ventricular function, and right atrial pressure.
Mapping Physician Twitter Networks: Describing How They Work as a First Step in Understanding Connectivity, Information Flow, and Message Diffusion

Background Twitter is becoming an important tool in medicine, but there is little information on Twitter metrics. In order to recommend best practices for information dissemination and diffusion, it is important to first study and analyze the networks. Objective This study describes the characteristics of four medical networks, analyzes their theoretical dissemination potential, their actual dissemination, and the propagation and distribution of tweets. Methods Open Twitter data was used to characterize four networks: the American Medical Association (AMA), the American Academy of Family Physicians (AAFP), the American Academy of Pediatrics (AAP), and the American College of Physicians (ACP). Data were collected between July 2012 and September 2012. Visualization was used to understand the follower overlap between the groups. Actual flow of the tweets for each group was assessed. Tweets were examined using Topsy, a Twitter data aggregator. Results The theoretical information dissemination potential for the groups is large. A collective community is emerging, where large percentages of individuals are following more than one of the groups. The overlap across groups is small, indicating a limited amount of community cohesion and cross-fertilization. The AMA followers’ network is not as active as the other networks. The AMA posted the largest number of tweets while the AAP posted the fewest. The number of retweets for each organization was low indicating dissemination that is far below its potential. Conclusions To increase the dissemination potential, medical groups should develop a more cohesive community of shared followers. Tweet content must be engaging to provide a hook for retweeting and reaching potential audience. Next steps call for content analysis, assessment of the behavior and actions of the messengers and the recipients, and a larger-scale study that considers other medical groups using Twitter.