Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of endotoxin on lung pericytes in vitro.

Lipopolysaccharide released during bacterial sepsis causes acute lung injury and ARDS. Pulmonary microvascular injury is a feature of ARDS, and vascular remodeling develops, leading to pulmonary hypertension. Pericytes in the lung circulation proliferate and contribute to the remodeling seen in experimental sepsis. It is unknown whether endotoxin can directly stimulate pericyte growth or induce contraction. We show that lipopolysaccharide from Escherichia coli, Pseudomonas aeruginosa, and Klebsiella pneumoniae increases rat lung pericyte proliferation in vitro by up to 72% on day 7 of exposure (P < 0.001), with E. coli being most potent. Lipid A is the active portion of the lipopolysaccharide, with equal activity at one-tenth the dose of lipopolysaccharide. Endotoxin's mitogenic effect requires the presence of serum, consistent with the requirement for a soluble CD14 receptor in the serum. Using FACS analysis, the pericytes lack surface CD14 receptors. Lipopolysaccharide exposure rapidly increases intracellular calcium and induces contraction of pericytes plated onto silicone membranes. Thus, endotoxin is a direct mitogen for lung pericytes in vitro and also induces pericyte contraction. Endotoxin, present in lung tissue early during sepsis, might directly contribute to the vascular remodeling in sepsis-induced lung injury.
Characterization of the StcE Protease Activity of Escherichia coli O157:H7

ABSTRACT The StcE zinc metalloprotease is secreted by enterohemorrhagic Escherichia coli (EHEC) O157:H7 and contributes to intimate adherence of this bacterium to host cells, a process essential for mammalian colonization. StcE has also been shown to localize the inflammatory regulator C1 esterase inhibitor (C1-INH) to cell membranes. We tried to more fully characterize StcE activity to better understand its role in EHEC pathogenesis. StcE was active at pH 6.1 to 9.0, in the presence of NaCl concentrations ranging from 0 to 600 mM, and at 4°C to 55°C. Interestingly, antisera against StcE or C1-INH did not eliminate StcE cleavage of C1-INH. Treatment of StcE with the proteases trypsin, chymotrypsin, human neutrophil elastase, and Pseudomonas aeruginosa elastase did not eliminate StcE activity against C1-INH. After StcE was kept at 23°C for 65 days, it exhibited full proteolytic activity, and it retained 30% of its original activity after incubation for 8 days at 37°C. Together, these results show the StcE protease is a stable enzyme that is probably active in the environment of the colon. Additionally, k cat/K m data showed that StcE proteolytic activity was 2.5-fold more efficient with the secreted mucin MUC7 than with the complement regulator C1-INH. This evidence supports a model which includes two roles for StcE during infection, in which StcE acts first as a mucinase and then as an anti-inflammatory agent by localizing C1-INH to cell membranes.
Diel foraging behavior of gravid leatherback sea turtles in deep waters of the Caribbean Sea

SUMMARY It is generally assumed that leatherback turtles (Dermochelys coriacea), like other species of sea turtle, do not feed while offshore from nesting beaches, and rely instead on fat reserves to fuel reproductive activities. Recent studies, however, provide evidence that leatherbacks may forage during the internesting interval while offshore in the Western Atlantic Ocean and Caribbean Sea. Bio-logging technology was used to investigate the foraging behavior of female leatherback turtles at St Croix, US Virgin Islands. Leatherback gastrointestinal tract temperatures (TGT) were analyzed for sudden fluctuations indicative of ingestions, and laboratory ingestion simulations were used to characterize temperature fluctuations associated with ingestion of prey versus seawater. Dive patterns associated with prey ingestion were characterized and the proportion of prey ingestion during the day (05:00–18:59 h) and night (19:00–04:59 h) were compared. A combined total of 111 prey ingestions for seven leatherback turtles were documented during the internesting interval. The number of prey ingestions ranged from six to 48 for individual turtles, and the majority (87.4%) of these events occurred during the daytime. Prey ingestions were most frequently associated with V-shaped dives, and the mean (±1 s.d.) maximum dive depth with prey ingestion ranged from 154±51 to 232±101 m for individual turtles. Although leatherbacks were found to opportunistically feed during the internesting interval, the low prey ingestion rates indicate that energy reserves acquired prior to the breeding season are critical for successful reproduction by leatherbacks from the St Croix, USVI nesting population.
Are We Systematically Wrong when Estimating Potential Output and the Natural Rate of Interest

In this paper we show that, in the process of estimating the natural rate of interest and the potential level of output, together, the algorithmic techniques alongside the natural and unavoidable expert judgment tend – with a high likelihood – to generate systematic biases of estimates. We formulate the following hypothesis: (i) during downturns, the final values of the natural interest rate and of the potential output level are highly likely to be overestimated by integrating algorithmic extraction and the results yielded by the anchoring heuristic; (ii) during boom periods and especially in times of financial bubbles, the final values are highly likely to be overestimated by integrating algorithmic extractions with the results yielded by employing the representativeness heuristic. Shifting from optimism to pessimism and vice versa plays a key role in the selection of heuristics. The overestimation thus generated can be a serious obstacle to the proper conduct of monetary policy. For Romania, the hypothesis is confirmed. In the period from 2005 to 2010, the potential level of output and the natural rate were systematically overestimated during both the upturn of the business cycle and the recession, as well as during the recovery phase.
Global Optimization of Microwave Filters Based on a Surrogate Model-Assisted Evolutionary Algorithm

Local optimization is a routine approach for full-wave optimization of microwave filters. For filter optimization problems with numerous local optima or where the initial design is not near to the optimal region, the success rate of the routine method may not be high. Traditional global optimization techniques have a high success rate for such problems, but are often prohibitively computationally expensive considering the cost of full-wave electromagnetic simulations. To address the above challenge, a new method, called surrogate model-assisted evolutionary algorithm for filter optimization (SMEAFO), is proposed. In SMEAFO, considering the characteristics of filter design landscapes, Gaussian process surrogate modeling, differential evolution operators, and Gaussian local search are organized in a particular way to balance the exploration ability and the surrogate model quality, so as to obtain high-quality results in an efficient manner. The performance of SMEAFO is demonstrated by two real-world design cases (a waveguide filter and a microstrip filter), which do not appear to be solvable by popular local optimization techniques. Experiments show that SMEAFO obtains high-quality designs comparable with global optimization techniques but within a reasonable amount of time. Moreover, SMEAFO is not restricted by certain types of filters or responses. The SMEAFO-based filter design optimization tool can be downloaded from http://fde.cadescenter. com.
Diabetic Retinopathy

Diabetic retinopathy remains a frightening prospect to patients and frustrates physicians. Destruction of damaged retina by photocoagulation remains the primary treatment nearly 50 years after its introduction. The diabetes pandemic requires new approaches to understand the pathophysiology and improve the detection, prevention, and treatment of retinopathy. This perspective considers how the unique anatomy and physiology of the retina may predispose it to the metabolic stresses of diabetes. The roles of neural retinal alterations and impaired retinal insulin action in the pathogenesis of early retinopathy and the mechanisms of vision loss are emphasized. Potential means to overcome limitations of current animal models and diagnostic testing are also presented with the goal of accelerating therapies to manage retinopathy in the face of ongoing diabetes.
Energy Expenditure and Deposition of Breast-Fed and Formula-Fed Infants during Early Infancy

ABSTRACT: The energy intake, expenditure, and deposition of 40 breast-fed and formula-fed infants were investigated at 1 and 4 mo of age to explore possible differences in energy utilization between feeding groups. Energy intake was calculated from 5-d test-weighing records or pre- and postweighing of formula bottles, in combination with bomb calorimetry of the milks. Total daily energy expenditure (TDEE) was determined by the doubly labeled water method. Sleeping metabolic rate (SMR) and minimal observable energy expenditure were measured by indirect calorimetry. Activity was estimated as the difference between TDEE and SMR. Energy deposition was estimated from dietary intake and TDEE. Energy intakes were significantly higher for the formula-fed than breast-fed infants at 1 mo (118 ± 17 versus 101 ± 16 kcal/kg/d) and 4 mo (87 ± 11 versus 72 ± 9 kcal/kg/d) (p < 0.001). TDEE averaged 67 ± 8 and 64 ± 7 kcal/kg/d at 1 mo and 73 ± 9 and 64 ± 8 kcal/kg/d at 4 mo for the formula-fed and breast-fed infants, respectively, and differed between feeding groups ((p < 0.04). SMR and minimal observable energy expenditure (kcal/min) were higher among the formula- fed infants at 1 and 4 mo (p < 0.005). The energy available for activity and the thermic effect of feeding did not differ between feeding groups. Rates of weight gain (g/d) and energy deposition (kcal/kg/d) tended to be greater among the formula-fed infants at 1 and 4 mo ((p < 0.06). Differences in weight gain, energy deposition, SMR, minimal observable energy expenditure, and TDEE partially accounted for the discrepancy in energy intake observed between breast-fed and formula-fed infants. The response to the varying levels of energy intake in infancy appear to be mediated through growth and basal-energy-requiring processes, but not through physical activity.
Saccharomyces cerevisiae‐ and Candida albicans‐Derived Mannan Induced Production of Tumor Necrosis Factor Alpha by Human Monocytes in a CD14‐ and Toll‐Like Receptor 4‐Dependent Manner

The cytokine‐inducing activities of fungal polysaccharides were examined in human monocytes in culture, with special reference to CD14 and Toll‐like receptors (TLRs). Tumor necrosis factor alpha (TNF‐α) production by monocytes was markedly induced in a dose‐dependent manner upon stimulation with cell walls from Candida albicans and mannan from Saccharomyces cerevisiae and C. albicans, although relatively high concentrations (10 to 100 μg/ml) of stimulants were required for activation as compared with the reference lipopolysaccharide (LPS) (1 to 10 ng/ml). The yeast form C. albicans and its mannan and cell wall fractions exhibited higher TNF‐α production than respective preparations from the hyphal form. Only slight TNF‐α production was induced by the S. cerevisiae glucan. The TNF‐α production triggered by reference LPS and purified fungal mannans required the presence of LPS‐binding protein (LBP), and these responses were inhibited by anti‐CD14 and anti‐TLR4 antibodies, but not by anti‐TLR2 antibody. In contrast to the activity of LPS, the activity of purified S. cerevisiae mannan was not inhibited by polymyxin B. These findings suggested that the mannan‐LBP complex is recognized by CD14 on monocytes and that signaling through TLR4 leads to the production of proinflammatory cytokines in a manner similar to that induced by LPS.
Reconciling simulated melting and ground-state properties of metals with a modified embedded-atom method potential

We propose a modification of the embedded-atom method-type potential aiming at reconciling simulated melting and ground-state properties of metals by means of classical molecular dynamics. Considering titanium, magnesium, gold, and platinum as case studies, we demonstrate that simulations performed with the modified force field yield quantitatively correctly both the melting temperature of the metals and their ground-state properties. It is shown that the accounting for the long-range interatomic interactions noticeably affects the melting point assessment. The introduced modification weakens the interaction at interatomic distances exceeding the equilibrium one by a characteristic vibration amplitude defined by the Lindemann criterion, thus allowing for the correct simulation of melting, while keeping its behavior in the vicinity of the ground state minimum. The modification of the many-body potential has a general nature and can be applicable to metals with different characteristics of the electron structure as well as for many different molecular and solid state systems experiencing phase transitions.
Intercellular MHC transfer between thymic epithelial and dendritic cells

Thymic dendritic cells (DC) and epithelial cells play a major role in central tolerance but their respective roles are still controversial. Epithelial cells have the unique ability to ectopically express peripheral tissue‐restricted antigens conferring self‐tolerance to tissues. Paradoxically, while negative selection seems to occur for some of these antigens, epithelial cells, contrary to DC, are poor negative selectors. Using a thymic epithelial cell line, we show the functional intercellular transfer of membrane material, including MHC molecules, occurring between epithelial cells. Using somatic and bone marrow chimeras, we show that this transfer occurs efficiently in vivo between epithelial cells and, in a polarized fashion, from epithelial to DC. This novel mode of transfer of MHC‐associated, epithelial cell‐derived self‐antigens onto DC might participate to the process of negative selection in the thymic medulla.
A ZCS Current-Fed Full-Bridge PWM Converter With Self-Adaptable Soft-Switching Snubber Energy

A new soft-switched, current-driven full-bridge converter is presented. The structure utilizes a simple snubber formed by two unidirectional switches and a capacitor to realize soft-switching operation over a wide line and load range. All primary-side switches are operated with zero-current switching (ZCS) and the snubber switches are operated with zero-voltage switching. The energy used for soft-switching is self-adaptable. For a given input current, the snubber capacitor is charged to the minimum required energy for ZCS of the switches. Thus, less resonant energy is used and the conduction loss can be kept minimal. The cyclical switching operation and control of the converter will be discussed. By compromising the voltage stress on the switches and loss of duty cycle (i.e., the regulation range), an optimized design procedure of the circuit elements is derived. The input voltage range and load variation that ensure both output voltage regulation and soft switching are determined. By studying the small-signal characteristics of the entire system, a current-controlled feedback control circuit has been implemented with a DSP. The experimental results measured on a 5-kW, 530-V/15-kV prototype confirms the advantages of the proposed converter.
A multi-stage shared control method for an intelligent mobility assistant

This paper presents a multi-stage shared control method (MSSC) which can be used to control the movement of a robotic mobility assistant designed to facilitate safe mobilization for people with unstable gait. The multi-stage control module consists of user intent, obstacle avoidance and fuzzy logic components. The user intent represents the person's commands. The obstacle avoidance component reads data representing any obstacles in the vicinity of the assistant and uses the vector field histogram (VFH) algorithm to select a suitable path to avoid any obstacles in the path of travel. The fuzzy logic component is responsible for merging the user intent and obstacle avoidance information such that the user's request is satisfied to the highest extent possible. When an unsafe situation presents itself the user's request(s) would be partially or wholly overridden so the assistant can return to a safe state. The system has been designed to be dynamically configurable so as to suit different users in terms of gait stability and strength, preferred speed of travel and level of control over the system. It has been tested both in a simulated environment and real-world operating conditions and has been shown to effectively avoid obstacles with minimal disruption to the user and their intent.
Cutaneous manifestations of dabrafenib (GSK2118436): a selective inhibitor of mutant BRAF in patients with metastatic melanoma

Background Inhibitors of mutant BRAF are emerging as standard of care in patients with metastatic melanoma carrying relevant oncogenic mutations. Cutaneous reactions are frequent and significant. We conducted a systematic prospective dermatological review of all patients enrolled at a single institution in the phase I/II clinical trial of the mutant BRAF inhibitor dabrafenib (GSK2118436).
Effects of red orange juice intake on endothelial function and inflammatory markers in adult subjects with increased cardiovascular risk.

BACKGROUND Oxidative and inflammatory stresses are involved in the pathogenesis of atherosclerosis. The consumption of fruit and vegetables is associated with improved health and reduced cardiovascular risk. Red oranges have a high content of antioxidant and antiinflammatory substances, but there is a paucity of data concerning their effects on cardiovascular biomarkers in subjects with increased cardiovascular risk. OBJECTIVE We investigated the effect of red orange juice intake on endothelial function, oxidative stress, and markers of inflammation in subjects with increased cardiovascular risk. DESIGN Nineteen nondiabetic subjects with increased cardiovascular risk (aged 27-56 y) were included in a randomized, placebo-controlled, single-blind crossover study and compared with 12 healthy, nonobese control subjects. In 2 periods of 7 d each with a 3-d interval, each participant alternatively received 500 mL red orange juice/d and 500 mL placebo/d in a random sequence. All measurements were performed in the morning after overnight fasting. RESULTS Endothelial function, which was measured as flow-mediated dilation, significantly improved and was normalized (5.7% compared with 7.9%; P < 0.005) after 1 wk of red orange juice consumption. Similarly, concentrations of high-sensitivity C-reactive protein, IL-6, and TNF-α significantly decreased (P < 0.001). Red orange juice had no significant effect on nitric oxide plasma concentrations. CONCLUSION A 7-d consumption of red orange juice ameliorates endothelial function and reduces inflammation in nondiabetic subjects with increased cardiovascular risk. This trial was registered at biomedcentral.com as ISRCTN39987296.
A prospective observational study on 249 subcutaneous central vein access ports in a Swedish county hospital

Abstract Background. Reliable central vein access is a fundamental issue in modern advanced oncological care. The aim of this study was to determine the incidence of complications and patient perception regarding central vein access ports. Methods. We prospectively studied 249 single lumen access ports implanted between 1 July 2008 and 15 March 2010 in a mixed patient population at a 500-bed secondary level hospital in Sweden. We determined the number of catheter days, infection rate and mechanical complications, as well as patient satisfaction regarding the access port, over a six-month follow-up period. Results. Two hundred and forty-four different patients received 249 ports yielding a total of 37 763 catheter days. Ultrasound and fluoroscopic guidance was used in 98% of procedures. Vein access was obtained percutanously by an anaesthesiologist in all cases. There was no case of pneumo- or haemothorax. The incidence of catheter-related bloodstream infection, was 0.05/1000 catheter days and the incidence of pocket/tunnel infection was 0.39/1000 catheter days. Clinically apparent deep vein thrombosis occurred in four patients (1.6%). Patient satisfaction was overall high. Conclusion. These results confirm that our team-based approach with written easily accessible evidence-based guidelines and a structured education programme leads to a very low complication rate and a high degree of patient satisfaction.
The P2X7 Nucleotide Receptor Mediates Skeletal Mechanotransduction*

The P2X7 nucleotide receptor (P2X7R) is an ATP-gated ion channel expressed in many cell types including osteoblasts and osteocytes. Mice with a null mutation of P2X7R have osteopenia in load bearing bones, suggesting that the P2X7R may be involved in the skeletal response to mechanical loading. We found the skeletal sensitivity to mechanical loading was reduced by up to 73% in P2X7R null (knock-out (KO)) mice. Release of ATP in the primary calvarial osteoblasts occurred within 1 min of onset of fluid shear stress (FSS). After 30 min of FSS, P2X7R-mediated pore formation was observed in wild type (WT) cells but not in KO cells. FSS increased prostaglandin (PG) E2 release in WT cells but did not alter PGE2 release in KO cells. Studies using MC3T3-E1 osteoblasts and MLO-Y4 osteocytes confirmed that PGE2 release was suppressed by P2X7R blockade, whereas the P2X7R agonist BzATP enhanced PGE2 release. We conclude that ATP signaling through P2X7R is necessary for mechanically induced release of prostaglandins by bone cells and subsequent osteogenesis.
A Survey on Computer Vision for Assistive Medical Diagnosis From Faces

Automatic medical diagnosis is an emerging center of interest in computer vision as it provides unobtrusive objective information on a patient's condition. The face, as a mirror of health status, can reveal symptomatic indications of specific diseases. Thus, the detection of facial abnormalities or atypical features is at upmost importance when it comes to medical diagnostics. This survey aims to give an overview of the recent developments in medical diagnostics from facial images based on computer vision methods. Various approaches have been considered to assess facial symptoms and to eventually provide further help to the practitioners. However, the developed tools are still seldom used in clinical practice, since their reliability is still a concern due to the lack of clinical validation of the methodologies and their inadequate applicability. Nonetheless, efforts are being made to provide robust solutions suitable for healthcare environments, by dealing with practical issues such as real-time assessment or patients positioning. This survey provides an updated collection of the most relevant and innovative solutions in facial images analysis. The findings show that with the help of computer vision methods, over 30 medical conditions can be preliminarily diagnosed from the automatic detection of some of their symptoms. Furthermore, future perspectives, such as the need for interdisciplinary collaboration and collecting publicly available databases, are highlighted.