Miracle-dz/UniFAR-FTUs huggingface dataset:
Hypercholesterolemia exacerbates transplant arteriosclerosis via increased neointimal smooth muscle cell accumulation: studies in apolipoprotein E knockout mice.

BACKGROUND Hypercholesterolemia is thought to be a significant risk factor for coronary vasculopathy in cardiac transplant recipients. METHODS AND RESULTS We examined the development of arteriosclerosis in mouse carotid artery loops allografted from B.10A(2R) (H-2h2) donors to normocholesterolemic C57BL/6J (H-2h) recipients and hypercholesterolemic C57BL/6J recipients in which the apolipoprotein (apo) E gene had been knocked out. Luminal occlusion and cross-sectional neointimal area were greater in arteries allografted into hypercholesterolemic recipients at 15 and 30 days after transplantation. We also measured cellular and extracellular matrix components of the neointima by computerized planimetry of the fractional areas subtended by smooth muscle cells (anti-alpha-actin stain), collagen (Masson's trichrome), lipid (oil red O), and leukocytes (anti-CD45). The neointimal area stained for smooth muscle cells was significantly greater in hypercholesterolemic recipients than in normocholesterolemic recipients at 15 and 30 days after allografting. Lipid contributed to neointimal area to a lesser degree, and there was no significant increase in the contribution of collagen or leukocytes. CONCLUSIONS Smooth muscle cell accumulation appears to be the principal contributor to the increase in neointimal area observed in arteries allografted into hypercholesterolemic mice.
Hospital-based violence intervention: Risk reduction resources that are essential for success

INTRODUCTION Hospital-based violence intervention programs (VIPs) aim to reduce violent injury and recidivism. The aim of this study was to determine the most significant risk reduction variables associated with success in our VIP. We hypothesized that our recidivism rate declined since VIP’s inception and that we could identify risk reduction variables that were independent determinants of program success. METHODS We analyzed our prospectively collected data for 2005–2011 from our VIP database. Success was defined as more than 50% needs met without recidivism or attrition. Impact and outcome evaluation was performed per a model promoted by the Centers for Disease Control. Rates of risk reduction and injury recidivism were calculated. Case management time spent per client (dose) was defined as low (0–1 hours per week), medium (1–3 hours per week), moderate (3–6 hours per week), and high (>6 hours per week). Correlation coefficients and logistic regression were used to examine associations between variables and success in the VIP. RESULTS Two hundred fifty-four clients received services. Meeting needs in mental health (odds ratio, 5.97; 95% confidence interval, 2.72–13.07) and employment (odds ratio, 4.41:95% confidence interval, 1.56–12.46) proved significantly associated with success (p < 0.005). The 6-year program recidivism rate was 4% versus historical control of 16% (p < 0.05). Moderate and high exposure to intensive case management in the first 3 months was also significantly associated with success (p < 0.05). Success in our VIP was not associated with age, gender, education level, previous incarceration, probation status, or length of time in program. DISCUSSION For 6 years, our recidivism rate has decreased fourfold compared with the rate before VIP inception. For startup and maintenance of a VIP, it is essential to know where to focus collaborative efforts in communities to target the most critical risk reduction resources. This study provides guidance—securing mental health care and employment for our clients appears to be predictive of success. The value of early “high-dose” intensive case management is also essential for reducing recidivism. LEVEL OF EVIDENCE Care management study, level III.
The Epistemic Consumption Object and Postsocial Consumption: Expanding Consumer‐Object Theory in Consumer Research

We introduce the concept of the epistemic consumption object. Such consumption objects are characterized by two interrelated features. First, epistemic consumption objects reveal themselves progressively through interaction, observation, use, examination, and evaluation. Such layered revelation is accompanied by an increasing rather than a decline of the object’s complexity. Second, such objects demonstrate a propensity to change their “face‐in‐action” vis‐à‐vis consumers through the continuous addition or subtraction of properties. The epistemic consumption object is materially elusive and this lack of ontological stability turns the object into a continuous knowledge project for consumers. Via this ongoing cycle of revelation and discovery, consumers become attached to the object in intimate and quasi‐social ways. Therefore, the concept of the epistemic consumption object brings the “object” directly into theorizations of consumer‐object relations, extending current theories of relationship, product involvement, and consumption communities. We draw from research with individual online investors to illustrate the theory of the epistemic consumption object.
The Impact of Specialist Firm Acquisitions on Market Quality

Acquisitions among specialist firms can increase specialist firm size, capitalization, and market concentration, and thus potentially have important effects on market quality. We examine the impact of NYSE specialist firm acquisitions on market quality and find that while stocks traded by both acquiring and target specialist firms show significant improvement in several market quality measures following acquisitions, similar changes are evident in price- and volume-matched control stocks traded by specialist firms not involved in acquisitions. We conclude that specialist firm acquisitions either do not improve market quality, or improve market quality, but competitive and other pressures (resulting partly from the acquisitions themselves) force improvements in market quality for control stocks also. Either interpretation implies that specialist acquisitions have not had deleterious effects on market quality.
Acclimation to Very Low CO2: Contribution of Limiting CO2 Inducible Proteins, LCIB and LCIA, to Inorganic Carbon Uptake in Chlamydomonas reinhardtii1[OPEN]

Two complementary inorganic carbon uptake systems show distinct functions in the CO2-concentrating mechanism and both are essential for limiting CO2 acclimation. The limiting-CO2 inducible CO2-concentrating mechanism (CCM) of microalgae represents an effective strategy to capture CO2 when its availability is limited. At least two limiting-CO2 acclimation states, termed low CO2 and very low CO2, have been demonstrated in the model microalga Chlamydomonas reinhardtii, and many questions still remain unanswered regarding both the regulation of these acclimation states and the molecular mechanism underlying operation of the CCM in these two states. This study examines the role of two proteins, Limiting CO2 Inducible A (LCIA; also named NAR1.2) and LCIB, in the CCM of C. reinhardtii. The identification of an LCIA-LCIB double mutant based on its inability to survive in very low CO2 suggests that both LCIA and LCIB are critical for survival in very low CO2. The contrasting effects of individual mutations in LCIB and LCIA compared with the effects of LCIB-LCIA double mutations on growth and inorganic carbon-dependent photosynthetic O2 evolution reveal distinct roles of LCIA and LCIB in the CCM. Although both LCIA and LCIB are essential for very low CO2 acclimation, LCIB appears to function in a CO2 uptake system, whereas LCIA appears to be associated with a HCO3− transport system. The contrasting and complementary roles of LCIA and LCIB in acclimation to low CO2 and very low CO2 suggest a possible mechanism of differential regulation of the CCM based on the inhibition of HCO3− transporters by moderate to high levels of CO2.
Application of wavelet transform-based discharging/charging voltage signal denoising for advanced data-driven SOC estimator

Unexpected sensing of noisy discharging/charging voltage of a Li-Ion cell may result in erroneous state-of-charge (SOC) estimation and low battery management system (BMS) performance. Therefore, this study gives insight to the design and implementation of the discrete wavelet transform (DWT)- based denoising technique for noise reduction of the DCV. The steps of denoising of noisy DCV for proposed study are follows. Firstly, by using the multi-resolution analysis (MRA), the noise-riding DCV signal is decomposed into different frequency subbands. Specifically, the signal processing considering high frequency component that focuses on short-time interval is absolutely necessary in order to reduce noise of the DCV. Secondly, the hard-thresholding based denoising technique is used to adjust the wavelet coefficients of the DWT for a clear separation between the signal and the noise. Thirdly, the desired de-noised DCV signal is reconstructed by taking the inverse DWT on filtered detailed coefficients. Consequently, this signal is applied to the equivalent circuit model (ECM)-based SOC estimation algorithm using the extended Kalman filter (EKF). Experimental results indicate the robustness of the proposed work.
Spectrum sharing between cellular and mobile ad hoc networks: transmission-capacity trade-off

Spectrum sharing between wireless networks improves the efficiency of spectrum usage, and thereby alleviates spectrum scarcity due to growing demands for wireless broadband access. To improve the usual underutilization of the cellular uplink spectrum, this paper addresses spectrum sharing between a cellular uplink and a mobile ad hoc networks. These networks access either all frequency subchannels or their disjoint subsets, called spectrum underlay and spectrum overlay, respectively. Given these spectrum sharing methods, the capacity trade-off between the coexisting networks is analyzed based on the transmission capacity of a network with Poisson distributed transmitters. This metric is defined as the maximum density of transmitters subject to an outage constraint for a given signal-to-interference ratio (SIR). Using tools from stochastic geometry, the transmission-capacity trade-off between the coexisting networks is analyzed, where both spectrum overlay and underlay as well as successive interference cancellation (SIC) are considered. In particular, for small target outage probability, the transmission capacities of the coexisting networks are proved to satisfy a linear equation, whose coefficients depend on the spectrum sharing method and whether SIC is applied. This linear equation shows that spectrum overlay is more efficient than spectrum underlay. Furthermore, this result also provides insight into the effects of network parameters on transmission capacities, including link diversity gains, transmission distances, and the base station density. In particular, SIC is shown to increase the transmission capacities of both coexisting networks by a linear factor, which depends on the interference-power threshold for qualifying canceled interferers.
Burnout contagion among intensive care nurses.

AIM This paper reports a study investigating whether burnout is contagious. BACKGROUND Burnout has been recognized as a problem in intensive care units for a long time. Previous research has focused primarily on its organizational antecedents, such as excessive workload or high patient care demands, time pressure and intensive use of sophisticated technology. The present study took a totally different perspective by hypothesizing that--in intensive care units--burnout is communicated from one nurse to another. METHODS A questionnaire on work and well-being was completed by 1849 intensive care unit nurses working in one of 80 intensive care units in 12 different European countries in 1994. The results are being reported now because they formed part of a larger study that was only finally analysed recently. The questionnaire was translated from English to the language of each of these countries, and then back-translated to English. Respondents indicated the prevalence of burnout among their colleagues, and completed scales to assess working conditions and job burnout. RESULTS Analysis of variance indicated that the between-unit variance on a measure of perceived burnout complaints among colleagues was statistically significant and substantially larger than the within-unit variance. This implies that there is considerable agreement (consensus) within intensive care units regarding the prevalence of burnout. In addition, the results of multilevel analyses showed that burnout complaints among colleagues in intensive care units made a statistically significant and unique contribution to explaining variance in individual nurses' and whole units' experiences of burnout, i.e. emotional exhaustion, depersonalization and reduced personal accomplishment. Moreover, for both emotional exhaustion and depersonalization, perceived burnout complaints among colleagues was the most important predictor of burnout at the individual and unit levels, even after controlling for the impact of well-known organizational stressors as conceptualized in the demand-control model. CONCLUSION Burnout is contagious: it may cross over from one nurse to another.
Accurate Proteome-wide Label-free Quantification by Delayed Normalization and Maximal Peptide Ratio Extraction, Termed MaxLFQ *

Protein quantification without isotopic labels has been a long-standing interest in the proteomics field. However, accurate and robust proteome-wide quantification with label-free approaches remains a challenge. We developed a new intensity determination and normalization procedure called MaxLFQ that is fully compatible with any peptide or protein separation prior to LC-MS analysis. Protein abundance profiles are assembled using the maximum possible information from MS signals, given that the presence of quantifiable peptides varies from sample to sample. For a benchmark dataset with two proteomes mixed at known ratios, we accurately detected the mixing ratio over the entire protein expression range, with greater precision for abundant proteins. The significance of individual label-free quantifications was obtained via a t test approach. For a second benchmark dataset, we accurately quantify fold changes over several orders of magnitude, a task that is challenging with label-based methods. MaxLFQ is a generic label-free quantification technology that is readily applicable to many biological questions; it is compatible with standard statistical analysis workflows, and it has been validated in many and diverse biological projects. Our algorithms can handle very large experiments of 500+ samples in a manageable computing time. It is implemented in the freely available MaxQuant computational proteomics platform and works completely seamlessly at the click of a button.
Rapid detection of acute kidney injury by plasma cystatin C in the intensive care unit.

BACKGROUND Plasma cystatin C (pCysC) has been proposed as an alternative to plasma creatinine (pCr) as a measure of renal function. We compared the detection of functional change by both biomarkers in critically ill patients. METHODS pCysC and pCr were measured on admission to one of two intensive care units (ICU) and then daily over 7 days. Patients were classified according to the analyte that first increased by either ≥25 or ≥50% above the admission value. The proportion of patients in each class was compared using McNemar's chi-square test. Sustained acute kidney injury (AKI, a ≥50% increase in pCr from baseline for ≥24 h), dialysis and death within 30 days were recorded. The ability of pCysC and pCr on admission to predict sustained AKI, dialysis or death was assessed from the area under the receiver operator characteristic curve (AUC). RESULTS Of 442 patients, 83 had a ≥50% increase in one analyte, 17 in both and 342 in neither. Comparable numbers for a ≥25% increase were 163 in one analyte, 45 in both and 234 in neither. pCysC increased prior to pCr more frequently than vice versa in both the cohort with a ≥50% increase (P < 0.0001) and with a ≥25% increase (P < 0.0001). pCysC predicted sustained AKI with an AUC of 0.80 [95% confidence interval (CI) = 0.71-0.88]. pCysC and pCr were similarly moderately predictive of death or dialysis with AUCs of 0.61 [95% CI = 0.53-0.68] and 0.60 [95% CI = 0.51-0.67], respectively. CONCLUSION pCysC was an effective and earlier surrogate marker of decreased renal function than pCr in a general ICU population.
What is the Best Method for Assessing the Rate of Wound Healing?: A Comparison of 3 Mathematical Formulas

OBJECTIVE: To identify and evaluate current mathematical formulas used to assess the rate of wound healing. DATA SOURCES: MEDLINE, CINAHL, and Cochrane Systematic Review databases, from 1965 to 2004. STUDY SELECTION: Papers selected for the study met the following inclusion criteria: (1) participants had chronic venous, neuropathic, pressure, or ischemic wounds; (2) the wounds were objectively measured; and (3) the investigators described and used an objective measurement of wound healing rate, either as an absolute reduction in area over time, a percentage change, or a linear advancement of wound edge. Papers were excluded if they were (1) not written in English, (2) duplicated from other sources, or (3) unpublished. CONCLUSIONS: In clinical trials, measurement of the rate of wound healing over time by using the equation for the linear advancement of wound margins toward the center of the wound controls for confounding introduced by differing baseline ulcer sizes and shapes. Use of this assessment method after 4 weeks of healing may prove to be of value in predicting time to complete healing. Further research is required to develop standard healing rates for wounds of different etiologies.
Person-based contextual therapy applied to a complex case of schizophrenia.

BACKGROUND Psychological therapies are becoming more and more important in schizophrenia, and not as mere adjuncts to medication. The psychotherapy of schizophrenia is taking on a new lease of life in the wake of person-based phenomenological and psychological developments. METHOD The case in question was a complex one, with variegated symptomatology that had persisted over many years. Approaching the case from the perspective of person-based cognitive therapy allowed us to understand the psychotic symptoms in the biographical context and to apply a therapy focused on the patient's recovery of her sense of self and of life. RESULTS At the end of the therapy and throughout the 12-month follow-up, the psychotic experiences had practically disappeared, or ceased to be disturbing, and the patient had become re-integrated in social life. CONCLUSIONS Psychotic symptoms take on meaning in the biographical context. Adopting this perspective can aid the psychopathological explanation of the disorder and provide significant therapeutic help, more focused on recovery. Psychological therapy has shown itself to be viable in complex cases treated within the public-sector healthcare context.
Estimation of skeletal Age at Death in Adults Using the Acetabulum and the Auricular Surface

Rouge-Maillart et al proposed a technique to determine the age of a subject using the acetabular surface and the auricular surface of the coxal bone. This technique has been described as promising, particularly in subjects under 50 years of age. The initial aim of this study was to test the technique on a new population with two observers, one of whom had no prior experience of the technique. A second aim was to confirm the utility of using the technique on elderly subjects. Material and method: We worked on 210 bones (108 male and 102 female) from the Terry Collection. Two observers studied the bones (one was a beginner, one an advanced user of the technique). Age estimation of the skeletons was based on analysis of the auricular surface and the acetabulum as described in the method by Rouge- Maillart et al. Intra- and inter-observer correlations were performed to monitor the reliability and reproducibility of this technique in the overall population, before moving on to subjects aged over 50. Results: For both observers, the data highlighted a good average correlation between score and real age (overall scores of 0.648 and 0.773) in the overall population. The similarity between the observers’ results increases as total scores are used. However, the inter-observer correlation is lower than for the previous study, as some criteria are more difficult to classify for the novice observer. As regards subjects over 50, the results are less reliable than expected, with a higher inter-observer variation than in the overall population. Conclusion: This study confirms the reproducibility and effectiveness of the method. However, some criteria must be redefined, while others must be weighed. Likewise, a modification to the Bayesian approach with a change to the intervals should be considered.
Wake-Up Channel Selection for On-Demand WiFi Wake-Up Using WLAN Signals

In order to reduce energy wastefully consumed by WiFi device, Radio-On-Demand Networks (ROD) has been proposed, which offers wireless access in an on-demand manner. Each WiFi device in ROD is equipped with a low-power wake-up receiver which is capable of detecting the length of frames observed over WiFi channels through envelope detection and on-off-keying (OOK) processing. Once the wake-up receiver detects the predefined set of length of WiFi frames included in the wake-up signal transmitted by the other WiFi device, it turns its main WiFi module on. The wake-up receiver extracts WiFi signals over all WiFi channels at 2.4 GHz band. On the other hand, a WiFi device, which tries to wake up the other device, selects a wake-up channel, a channel to transmit its wake-up signal. In this case, the receiver observes an envelope which is the combination of the wake-up signal and the interfering signals existing over all WiFi channels. Here, how to select the wake-up channel is a key issue when the degree of interference is different among multiple WiFi channels. In this paper, with different degree of interference in each channel, we evaluate the impact of wake-up channel selection on the wake-up success probability of WiFi device. Besides simulations results, we also present experimental results which are obtained with our developed prototype of wake-up receiver.
Network bipartivity.

Systems with two types of agents with a preference for heterophilous interaction produce networks that are more or less close to bipartite. We propose two measures quantifying the notion of bipartivity. The two measures-one well known and natural, but computationally intractable, and the other computationally less complex, but also less intuitive-are examined on model networks that continuously interpolate between bipartite graphs and graphs with many odd circuits. We find that the bipartivity measures increase as we tune the control parameters of the test networks to intuitively increase the bipartivity, and thus conclude that the measures are quite relevant. We also measure and discuss the values of our bipartivity measures for empirical social networks (constructed from professional collaborations, Internet communities, and field surveys). Here we find, as expected, that networks arising from romantic online interaction have high, and professional collaboration networks have low, bipartivity values. In some other cases, probably due to low average degree of the network, the bipartivity measures cannot distinguish between romantic and friendship oriented interaction.