Miracle-dz/UniFAR-FTUs huggingface dataset:
Gene Silencing in Arabidopsis Spreads from the Root to the Shoot, through a Gating Barrier, by Template-Dependent, Nonvascular, Cell-to-Cell Movement1[W][OA]

Upward long-distance mobile silencing has been shown to be phloem mediated in several different solanaceous species. We show that the Arabidopsis (Arabidopsis thaliana) seedling grafting system and a counterpart inducible system generate upwardly spreading long-distance silencing that travels not in the phloem but by template-dependent reiterated short-distance cell-to-cell spread through the cells of the central stele. Examining the movement of the silencing front revealed a largely unrecognized zone of tissue, below the apical meristem, that is resistant to the silencing signal and that may provide a gating or protective barrier against small RNA signals. Using a range of auxin and actin transport inhibitors revealed that, in this zone, alteration of vesicular transport together with cytoskeleton dynamics prevented or retarded the spread of the silencing signal. This suggests that small RNAs are transported from cell to cell via plasmodesmata rather than diffusing from their source in the phloem.
Super-Thresholding: Supervised Thresholding of Protein Crystal Images

In general, a single thresholding technique is developed or enhanced to separate foreground objects from background for a domain of images. This idea may not generate satisfactory results for all images in a dataset, since different images may require different types of thresholding methods for proper binarization or segmentation. To overcome this limitation, in this study, we propose a novel approach called “super-thresholding” that utilizes a supervised classifier to decide an appropriate thresholding method for a specific image. This method provides a generic framework that allows selection of the best thresholding method among different thresholding techniques that are beneficial for the problem domain. A classifier model is built using features extracted priori from the original image only or posteriori by analyzing the outputs of thresholding methods and the original image. This model is applied to identify the thresholding method for new images of the domain. We performed our method on protein crystallization images, and then we compared our results with six thresholding techniques. Numerical results are provided using four different correctness measurements. Super-thresholding outperforms the best single thresholding method around 10 percent, and it gives the best performance for protein crystallization dataset in our experiments.
Analysis and modeling of upstream throughput in multihop packet CDMA cellular networks

We consider the problem of throughput modeling of wireless multihop packet CDMA networks with cellular overlay using simple forwarding strategies in the upstream. Considering the effect of shadowing and distance-dependent path loss, we approximate the probability density of interference at each base station (BS) and compare numerical and simulation results for different path-loss parameters. We derive the probability density of the received power at each BS due to transmission of one packet from a random node, as well as the probability distribution of the number of packets received at each node per time slot. Subsequently, we use the above results to approximate the probability density of the total received power at each BS based on calculations of moments. We observe that the probability density of intercell interference due to transmissions from terminals and routers may be approximated by normal and log-normal densities, respectively. We quantify the network performance based on throughput, total consumed power, and outage probability for different system parameters. For homogeneous link efficiencies, introducing routers into the network while reducing the transmission power increases the mean and variance of interference to the desired signal, hence higher outage probability. However, there are ample opportunities inherent to multihop structure, applicable to any of the physical, data link, and network layers, which help increase the overall achievable network throughput.
Influenza hemagglutination-inhibition antibody titer as a correlate of vaccine-induced protection.

BACKGROUND Antibody to influenza virus hemagglutinin has been traditionally associated with protection. Questions have been raised about its use as a surrogate for vaccine efficacy, particularly with regard to an absolute titer indicating seroprotection. METHODS We examined hemagglutination-inhibition (HAI) antibody titers in subjects from a placebo-controlled trial of inactivated and live attenuated vaccines and compared titers in subjects with symptomatic influenza (cases) to those without influenza infection (noncases). RESULTS Prevaccination and postvaccination geometric mean titers were both significantly lower for cases compared with noncases in all intervention groups. Frequency of postvaccination seroconversion did not significantly differ for cases and noncases in either vaccine group. Among live attenuated vaccine and placebo recipients, cases were less likely than noncases to have postvaccination HAI titers ≥32 or 64. Nearly all recipients of inactivated vaccine had postvaccination titers of at least 64, and the small number of vaccine failures were scattered across titers ranging from 64 to 2048. CONCLUSIONS While HAI antibody is the major correlate of protection, postvaccination titers alone should not be used as a surrogate for vaccine efficacy. Vaccine failures from clinical trials need to be examined to determine why seemingly protective HAI titers may not protect. Clinical Trials Registration. NCT00538512.
Influence at Scale: Distributed Computation of Complex Contagion in Networks

We consider the task of evaluating the spread of influence in large networks in the well-studied independent cascade model. We describe a novel sampling approach that can be used to design scalable algorithms with provable performance guarantees. These algorithms can be implemented in distributed computation frameworks such as MapReduce. We complement these results with a lower bound on the query complexity of influence estimation in this model. We validate the performance of these algorithms through experiments that demonstrate the efficacy of our methods and related heuristics.
Predictive Factors of Restenosis After Coronary Implantation of Sirolimus- or Paclitaxel-Eluting Stents

Background— The efficacy of drug-eluting stents in reducing restenosis risk has not been uniform across patient subsets. Identifying predictive factors of restenosis may help improve outcomes after percutaneous coronary interventions. Methods and Results— All patients who underwent successful implantation of sirolimus- or paclitaxel-eluting stents in native vessels for de novo lesions between August 2002 and December 2004 were eligible for this study. All data were prospectively collected. Angiographic restenosis was defined as diameter stenosis ≥50% at follow-up in the in-segment area. Target lesion revascularization was defined as any revascularization procedure involving the target lesion. Included in this study were 1845 patients with 2093 target lesions. Multivariable analysis showed that vessel size, final diameter stenosis, and drug-eluting stent type were the strongest predictors of restenosis. A 0.5-mm decrease in vessel size was associated with adjusted odds ratios (ORs) of 1.74 (95% CI, 1.31 to 2.32) for angiographic restenosis and 1.65 (95% CI, 1.22 to 2.23) for target lesion revascularization. A 5% increase in final diameter stenosis was associated with adjusted ORs of 1.30 (95% CI, 1.15 to 1.47) for angiographic restenosis and 1.18 (95% CI, 1.03 to 1.35) for target lesion revascularization. Compared with paclitaxel-eluting stent, sirolimus-eluting stent was associated with adjusted ORs of 0.60 (95% CI, 0.44 to 0.81) for angiographic restenosis and 0.67 (95% CI, 0.49 to 0.91) for target lesion revascularization. Conclusions— Vessel size and drug-eluting stent type are the most important predictors of angiographic and clinical restenosis, with drug-eluting stent type having a particular impact on restenosis of small coronary vessels.
Environmental stability and the evolution of cooperative breeding in hornbills

Reproductive cooperation in social animals has been the focus of intensive research, yet the role of environmental factors in promoting such cooperation remains uncertain. A recent global analysis suggested that cooperative breeding in birds is a ‘bet-hedging’ strategy associated with climatic uncertainty, but it is unclear whether this mechanism applies generally or is restricted to the insectivorous passerines that predominate as cooperative breeders at the global scale. Here, we use a phylogenetic framework to assess the effect of climate on the evolution of cooperation in hornbills (Bucerotidae), an avian family characterized by frugivory and carnivory. We show that, in contrast to the global pattern, cooperative reproduction is positively associated with both inter- and intra-annual climatic stability. This reversed relationship implies that hornbills are relatively insensitive to climatic fluctuations, perhaps because of their dietary niche or increased body mass, both of which may remove the need for bet-hedging. We conclude that the relationship between climatic variability and cooperative breeding is inconsistent across taxa, and potentially mediated by life-history variation. These findings help to explain the mixed results of previous studies and highlight the likely shortcomings of global datasets inherently biased towards particular categories.
Reactive control processes contributing to residual switch cost and mixing cost across the adult lifespan

In task-switching paradigms, performance is better when repeating the same task than when alternating between tasks (switch cost) and when repeating a task alone rather than intermixed with another task (mixing cost). These costs remain even after extensive practice and when task cues enable advanced preparation (residual costs). Moreover, residual reaction time mixing cost has been consistently shown to increase with age. Residual switch and mixing costs modulate the amplitude of the stimulus-locked P3b. This mixing effect is disproportionately larger in older adults who also prepare more for and respond more cautiously on these “mixed” repeat trials (Karayanidis et al., 2011). In this paper, we analyze stimulus-locked and response-locked P3 and lateralized readiness potentials to identify whether residual switch and mixing cost arise from the need to control interference at the level of stimulus processing or response processing. Residual mixing cost was associated with control of stimulus-level interference, whereas residual switch cost was also associated with a delay in response selection. In older adults, the disproportionate increase in mixing cost was associated with greater interference at the level of decision-response mapping and response programming for repeat trials in mixed-task blocks. These findings suggest that older adults strategically recruit greater proactive and reactive control to overcome increased susceptibility to post-stimulus interference. This interpretation is consistent with recruitment of compensatory strategies to compensate for reduced repetition benefit rather than an overall decline on cognitive flexibility.
Deep Learning with Domain Adaptation for Accelerated Projection Reconstruction MR

Purpose: The radial k-space trajectory is a well-established sampling trajectory used in conjunction with magnetic resonance imaging. However, the radial k-space trajectory requires a large number of radial lines for high-resolution reconstruction. Increasing the number of radial lines causes longer acquisition time, making it more difficult for routine clinical use. On the other hand, if we reduce the number of radial lines, streaking artifact patterns are unavoidable. To solve this problem, we propose a novel deep learning approach with domain adaptation to restore high-resolution MR images from under-sampled k-space data. Methods: The proposed deep network removes the streaking artifacts from the artifact corrupted images. To address the situation given the limited available data, we propose a domain adaptation scheme that employs a pre-trained network using a large number of x-ray computed tomography (CT) or synthesized radial MR datasets, which is then fine-tuned with only a few radial MR datasets. Results: The proposed method outperforms existing compressed sensing algorithms, such as the total variation and PR-FOCUSS methods. In addition, the calculation time is several orders of magnitude faster than the total variation and PR-FOCUSS methods.Moreover, we found that pre-training using CT or MR data from similar organ data is more important than pre-training using data from the same modality for different organ. Conclusion: We demonstrate the possibility of a domain-adaptation when only a limited amount of MR data is available. The proposed method surpasses the existing compressed sensing algorithms in terms of the image quality and computation time.
Hard X-Rays and Fluorescent Iron Emission from the Embedded Infrared Cluster in NGC 2071

We present first results of XMM-Newton X-ray observations of the infrared cluster lying near the NGC 2071 reflection nebula in the Orion B region. This cluster is of interest because it is one of the closest regions known to harbor embedded high-mass stars. We report the discovery of hard X-ray emission from the dense central NGC 2071-IR subgroup, which contains at least three high-mass young stellar objects (NGC 2071 IRS 1, IRS 2, and IRS 3). A prominent X-ray source is detected within 1'' of the infrared source IRS 1, which is thought to drive a powerful bipolar molecular outflow. The X-ray spectrum of this source is quite unusual compared to the optically thin plasma spectra normally observed in young stellar objects (YSOs). The spectrum is characterized by a hard broadband continuum plus an exceptionally broad emission line at ≈6.4 keV from neutral or near-neutral iron. The fluorescent Fe line likely originates in cold material near the embedded star (i.e., a disk or envelope) that is irradiated by the hard, heavily absorbed X-ray source.
Zoledronic acid prevents bone loss in premenopausal women undergoing adjuvant chemotherapy for early-stage breast cancer.

PURPOSE Adjuvant chemotherapy for breast cancer (BC) may be associated with increased rates of bone loss and decreased bone mineral density (BMD) and may lead to premature osteoporosis and increased fracture risk. We examined whether zoledronic acid (ZA) prevents bone loss in premenopausal women receiving chemotherapy for early-stage BC. PATIENTS AND METHODS This study is a randomized, double-blind, multicenter, phase III trial comparing ZA (4 mg intravenously every 3 months) versus placebo for 1 year. Premenopausal women underwent serial BMD measurements before initiating chemotherapy and at 6 and 12 months. The primary outcome was percent change in lumbar spine (LS) BMD at 6 months. Secondary outcomes were percent change at any BMD site and markers of bone turnover at 12 months. Linear mixed model analysis for repeated measures was performed. RESULTS Of 101 women who were randomly assigned and completed baseline evaluation, 96 completed the 6-month evaluation, and 85 completed the 12-month evaluation. Baseline characteristics were comparable between the groups. Mean age was 42 years. Placebo was associated with significant decline in LS BMD at both 6 (2.4%) and 12 (4.1%) months. Similarly, total hip BMD declined by 0.8% at 6 months and 2.6% at 12 months. In contrast, BMD remained stable in ZA patients (P < .0001 compared with placebo). CONCLUSION Premenopausal women receiving chemotherapy for BC sustained significant bone loss at the LS and hip, whereas BMD remained stable in women who received ZA. Administration of ZA during the first year of chemotherapy is an effective and well-tolerated strategy for preventing bone loss.
Emergent Response ( ER ) : An Efficient and Scalable Real-time Broadcast Authentication Scheme for Command and Control Messages

Broadcast (multicast) authentication is crucial for large and distributed systems such as cyber-physical infrastructures (e.g., power-grid/smart-grid) and wireless networks (e.g., inter-vehicle networks, military ad-hoc networks). These timecritical systems require real-time authentication of command and control messages in a highly efficient, secure and scalable manner. However, existing solutions are either computationally costly (e.g., asymmetric cryptography) or unscalable/impractical (e.g., symmetric cryptography, one-time signatures, delayed key disclosure methods). In this paper, we develop a new broadcast authentication scheme that we call Emergent Response (ER), which is suitable for time-critical authentication of command and control messages in large and distributed systems. We exploit the semi-structured nature of command and control messages to construct special digital signatures, which are computationally efficient both at the signer and verifier sides. We show that ER achieves several desirable properties that are not available in the existing alternatives simultaneously: (i) Fast signature generation and verification; (ii) immediate verification; (iii) constant size public key; (iv) compact authenticating tag; (v) packet loss tolerance; (vi) being free from time synchronization requirement; (vii) provable security.
Fitting a Sum of Exponentials to Numerical Data

A finite sum of exponential functions may be expressed by a linear combination of powers of the independent variable and by successive integrals of the sum. This is proved for the general case and the connection between the parameters in the sum and the coefficients in the linear combination is highlighted. The fitting of exponential functions to a given data- set is therefore reduced to a multilinear approximation procedure. The results of this approximation do not only provide the necessary information to compute the factors in the exponents and the weights of the exponential terms but also they are used to estimate the errors in the factors.
Intracranial Hypertension

Intracranial hypertension implies profoundly disturbed intracranial physiology. Although a shared manifestation of myriad neurological disorders of patients admitted in the intensive care unit (ICU), the pathways leading to intracranial hypertension vary by etiology. Acute elevation of the intracranial pressure is an emergency and may rapidly lead to brain death or a devastating neurological outcome if left untreated. Fortunately, with a firm grasp of the underlying pathophysiology and available treatments, one can optimize ICU-based management. Several integrated management paradigms have been used to treat intracranial hypertension. Regrettably, there is a dearth of randomized clinical trials to confirm the efficacy of even our most routine therapeutic strategies.
Task Attention Facilitates Learning of Task-Irrelevant Stimuli

Attention plays a fundamental role in visual learning and memory. One highly established principle of visual attention is that the harder a central task is, the more attentional resources are used to perform the task and the smaller amount of attention is allocated to peripheral processing because of limited attention capacity. Here we show that this principle holds true in a dual-task setting but not in a paradigm of task-irrelevant perceptual learning. In Experiment 1, eight participants were asked to identify either bright or dim number targets at the screen center and to remember concurrently presented scene backgrounds. Their recognition performances for scenes paired with dim/hard targets were worse than those for scenes paired with bright/easy targets. In Experiment 2, eight participants were asked to identify either bright or dim letter targets at the screen center while a task-irrelevant coherent motion was concurrently presented in the background. After five days of training on letter identification, participants improved their motion sensitivity to the direction paired with hard/dim targets improved but not to the direction paired with easy/bright targets. Taken together, these results suggest that task-irrelevant stimuli are not subject to the attentional control mechanisms that task-relevant stimuli abide.
Steady State Condition in the Measurement of VO2and VCO2by Indirect Calorimetry

Resting metabolic rate (RMR) is computed using VO2 and VCO2 short time 15-minute window measurement with indirect calorimetry (IC) instruments designed with mixing chamber. Steady state condition using a 10% variation coefficient criteria is the main objective to achieve metabolic long time prediction reliability. This study address how susceptible is the steady state VO2, VCO 2 measurement condition to the clino-orthostatic physiological maneuver. 30 young healthy subjects were analyzed. Only 18 passed the 10% variation coefficient inclusive criteria. They were exposed to 10 minutes clino-stage and 10 minutes orthostage. The hypothesis tests show not statistical significance (ples0.1) in the average and variance analysis. It is concluded that the steady state is not influenced by the patient position IC test, probably because IC mixing chamber instruments are insensitive to detect a mayor physiological dynamics changes that can modify the steady state definition
Randomised trial of intrapleural urokinase in the treatment of childhood empyema.

BACKGROUND The role of intrapleural fibrinolytic agents in the treatment of childhood empyema has not been established. A randomised double blind placebo controlled trial of intrapleural urokinase was performed in children with parapneumonic empyema. METHODS Sixty children (median age 3.3 years) were recruited from 10 centres and randomised to receive either intrapleural urokinase 40 000 units in 40 ml or saline 12 hourly for 3 days. The primary outcome measure was length of hospital stay after entry to the trial. RESULTS Treatment with urokinase resulted in a significantly shorter hospital stay (7.4 v 9.5 days; ratio of geometric means 1.28, CI 1.16 to 1.41 p=0.027). A post hoc analysis showed that the use of small percutaneous drains was also associated with shorter hospital stay. Children treated with a combination of urokinase and a small drain had the shortest stay (6.0 days, CI 4.6 to 7.8). CONCLUSION Intrapleural urokinase is effective in treating empyema in children and significantly shortens hospital stay.
Iranian university students' readiness for using podcasting: A comparison between English and non-English majors

The purpose of this study was to assess Iranian students' readiness to use podcasting in higher education considering their major of study. One hundred and twenty university students (60 English students and 60 non-English majors) completed the podcasting readiness questionnaire that measured their readiness through three sub-scales: access, familiarity, and experience. The results revealed that both groups had satisfactory access to podcasting technology in terms of ownership and function/capabilities of their portable devices. The degree of familiarity of both groups was high and almost at the same level. When both groups were compared with regard to their habits of using podcasts for academic and non-academic purposes, no difference was found between them; however, when they were compared with regard to habits of using podcasts just for academic purposes a significant difference was observed in favor of English majors. With regard to experience, it was found that English majors had more experience with podcasting and they were more eager to use podcasts for their education.