Miracle-dz/UniFAR-FTUs huggingface dataset:
Layer-by-Layer Structured Membranes of Silk Fibroin and Polyethylenimine on Electrospun Silk Fibroin Nanofibers

Self-assembled silk fibroin (SF)-polyethylenimine (PEI) multilayered films were fabricated on ethanol treated electrospun SF nanofibrous substrates via the electrostatic layer-by-layer (LBL) adsorption. The film coated membranes were characterized using scanning electron microscopy (SEM), transmission electron microscope (TEM) and X-ray photoelectron spectrophotometer (XPS). The SEM images showed that the multilayers of SF-PEI were formed on the surface of the ethanol treated SF nanofibres. The characteristics such as the fiber shape and porous structure were well maintained as the number of the coated SF-PEI bilayers was less than five. However, obvious adhesive substances and blocked pores were observed on the surface of the fibers as the number of bilayers of SF-PEI increased to six. Furthermore, the obvious core-shell structures were observed by TEM. The thickness of five SF-PEI bilayers was approximately 80nm. Additionally, the XPS results also revealed that the SF-PEI multilayer composite membranes formed. The adsorption mainly depended on a simple electrostatic interaction between the layers of SF and PEI. These SF-PEI multilayer assembled nanofibrous membranes could be a promising material for use as a sensor, gene delivery agent and scaffolds.
Adding nesting structure to words

We propose the model of nested words for representation of data with both a linear ordering and a hierarchically nested matching of items. Examples of data with such dual linear-hierarchical structure include executions of structured programs, annotated linguistic data, and HTML/XML documents. Nested words generalize both words and ordered trees, and allow both word and tree operations. We define nested word automata—finite-state acceptors for nested words, and show that the resulting class of regular languages of nested words has all the appealing theoretical properties that the classical regular word languages enjoys: deterministic nested word automata are as expressive as their nondeterministic counterparts; the class is closed under union, intersection, complementation, concatenation, Kleene-*, prefixes, and language homomorphisms; membership, emptiness, language inclusion, and language equivalence are all decidable; and definability in monadic second order logic corresponds exactly to finite-state recognizability. We also consider regular languages of infinite nested words and show that the closure properties, MSO-characterization, and decidability of decision problems carry over. The linear encodings of nested words give the class of visibly pushdown languages of words, and this class lies between balanced languages and deterministic context-free languages. We argue that for algorithmic verification of structured programs, instead of viewing the program as a context-free language over words, one should view it as a regular language of nested words (or equivalently, a visibly pushdown language), and this would allow model checking of many properties (such as stack inspection, pre-post conditions) that are not expressible in existing specification logics. We also study the relationship between ordered trees and nested words, and the corresponding automata: while the analysis complexity of nested word automata is the same as that of classical tree automata, they combine both bottom-up and top-down traversals, and enjoy expressiveness and succinctness benefits over tree automata.
Thoracolumbar burst fractures treated with posterior decompression and pedicle screw instrumentation supplemented with balloon-assisted vertebroplasty and calcium phosphate reconstruction. Surgical technique.

BACKGROUND The treatment of unstable thoracolumbar burst fractures with short-segment posterior spinal instrumentation without anterior column reconstruction is associated with a high rate of screw breakage and progressive loss of reduction. The purpose of the present study was to evaluate the functional, neurologic, and radiographic results following transpedicular, balloon-assisted fracture reduction with anterior column reconstruction with use of calcium phosphate bone cement combined with short-segment posterior instrumentation and a laminectomy. METHODS A consecutive series of thirty-eight patients with an unstable thoracolumbar burst fracture with or without neurologic deficit were managed with transpedicular, balloon-assisted fracture reduction, calcium phosphate bone cement reconstruction, and short-segment spinal instrumentation from 2002 to 2005. Twenty-eight of the thirty-eight patients were followed for a minimum of two years. Demographic data, neurologic function, segmental kyphosis, the fracture severity score, canal compromise, the Short Form-36 score, the Oswestry Disability Index score, and treatment-related complications were evaluated prospectively. RESULTS All thirteen patients with incomplete neurologic deficits had improvement by at least one Frankel grade. The mean kyphotic angulation improved from 17 degrees preoperatively to 7 degrees at the time of the latest follow-up, and the loss of vertebral body height improved from a mean of 42% preoperatively to 14% at the time of the latest follow-up. Screw breakage occurred in two patients, and pseudarthrosis occurred in one patient. CONCLUSIONS The present study demonstrates that excellent reduction of unstable thoracolumbar burst fractures with and without associated neurologic deficits can be maintained with use of short-segment instrumentation and a transpedicular balloon-assisted reduction combined with anterior column reconstruction with calcium phosphate bone cement performed through a single posterior incision. The resultant circumferential stabilization combined with a decompressive laminectomy led to maintained or improved neurologic function in all patients with neurologic deficits, with a low rate of instrumentation failure and loss of correction.
Numerical Terradynamic Simulation Group 4-2014 A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO 2 and CH 4 fluxes

The northern terrestrial net ecosystem carbon bal­ ance (NECB) is contingent on inpnts from vegetation gross primary prodnctivity (GPP) to offset the ecosystem respi­ ration (Reco) of carbon dioxide (CO2 ) and methane (CH4 ) emissions, bnt an effective framework to monitor the re­ gional Arctic NECB is lacking. We modified a terrestrial car­ bon llnx (TCF) model developed for satellite remote sens­ ing applications to evalnate wetland CO2 and CH4 llnxes over pan-Arctic eddy covariance (EC) llnx tower sites. The TCF model estimates GPP, CO2 and CH4 emissions nsing in sitn or remote sensing and reanalysis-based climate data as inpnts. The TCF model simnlations nsing in sitn data explained > 7 0 % of the r^ variability in the 8 day cnmnlative EC measmed llnxes. Model simnlations nsing coarser satellite (MODIS) and reanalysis (MERRA) records acconnted for approximately 69 % and 75 % of the respective r^ variability in the tower CO2 and CH4 records, with cor­ responding RMSE nncertainties of < 1 . 3 g C m -2 d i (CO2 ) and 18.2mgCm“ ̂d“ ̂ (CH4 ). Althongh the estimated annnal CH4 emissions were small (< 18gC m “ ^yr“ )̂ relative to Reco (> 180gC m “^yr“ ^), they rednced the across-site NECB by 23 % and contribnted to a global warming potential of approximately 165 ± 128gC02eqm “ ^yr“ ̂when consid­ ered over a 100 year time span. This model evalnation indi­ cates a strong potential for nsing the TCF model approach to docnment landscape-scale variability in CO2 and CH4 llnxes, and to estimate the NECB for northern peatland and tnndra ecosystems.
The Interaction Between Boundary Layer and Convection Schemes in a WRF Simulation of Post Cold Frontal Clouds Over the ARM East North Atlantic Site

The correct representation of low‐level midlatitude clouds found in the wake of cold fronts strongly relies on the representation of planetary boundary layer (PBL) and convection processes, which are typically parameterized separately in numerical models. Using the Weather Research and Forecasting Model (WRF), this study investigates how distinct pairs of PBL and convection parameterization schemes represent cloud fraction in the post cold frontal region. The simulations focus on the region of the Department of Energy Atmospheric Radiation Measurement (ARM) Eastern North Atlantic observation site in the Azores Islands in the wake of a cold front that passed on 25 December 2015. Different PBL and convection schemes are combined to create 12 distinct configurations. The main differences between the selected physical parameterizations are the strength of vertical mixing and the entrainment. The simulations produce a wide range of cloud fractions, where some configurations significantly underestimate while others clearly overestimate satellite and surface‐based estimates of cloud fraction. A skill score is used to quantitatively assess the performance of each configuration with respect to ground‐based radar data. The key processes that are found to significantly impact the cloud fraction distribution are the strength of the PBL decoupling, the vertical wind shear, entrainment and detrainment rates in shallow convection, and the occurrence of drizzle. This indicates that to successfully simulate post cold frontal clouds, modeled physics must balance strong internal vertical mixing and weak exchange with the free troposphere. For this case study, cloud fraction was more sensitive to the choice of convection scheme than PBL scheme.
Distributed platoon assignment and lane selection for traffic flow optimization

This paper presents an approach to lane assignment for highway vehicles that increases traffic throughput while ensuring vehicles can exit successfully at their destinations. To enhance traffic safety and increase lane capacities, vehicles can be organized into platoons with the objective of maximizing the travel distance that platoons stay intact and then apply lane assignment to these platoons. The goal of this research is to form a distributed control strategy to select lanes for platoons using inter-vehicle communication. We evaluate the current platoon lane assignment strategy and compare its improvement over average vehicle travel time with the lane assignment for single vehicles reported in our previous work. Simulation results show that while cooperate control for single vehicle lane assignment does lead to decreased vehicle travel times, the implementation of cooperative lane assignment for platooning vehicles leads to an even greater reduction.
The Clinical Course of Minimal Change Nephrotic Syndrome With Onset in Adulthood or Late Adolescence: A Case Series.

BACKGROUND Few studies have examined the treatment and outcome of adult-onset minimal change nephrotic syndrome (MCNS). We retrospectively studied 125 patients who had MCNS with onset in either adulthood or late adolescence. Presenting characteristics, duration of initial treatment and response to treatment, relapse patterns, complications, and long-term outcome were studied. STUDY DESIGN Case series. SETTING & PARTICIPANTS Patients with new-onset nephrotic syndrome 16 years or older and a histologic diagnosis of MCNS in 1985 to 2011 were identified from pathology records of 10 participating centers. OUTCOMES Partial and complete remission, treatment resistance, relapse, complications, renal survival. RESULTS Corticosteroids were given as initial treatment in 105 (84%) patients. After 16 weeks of corticosteroid treatment, 92 (88%) of these patients had reached remission. Median time to remission was 4 (IQR, 2-7) weeks. 7 (6%) patients initially received cyclophosphamide with or without corticosteroids, and all attained remission after a median of 4 (IQR, 3-11) weeks. 13 (10%) patients reached remission without immunosuppressive treatment. One or more relapses were observed in 57 (54%) patients who received initial corticosteroid treatment. Second-line cyclophosphamide resulted in stable remission in 57% of patients with relapsing MCNS. Acute kidney injury was observed in 50 (40%) patients. Recovery of kidney function occurred almost without exception. Arterial or venous thrombosis occurred in 11 (9%) patients. At the last follow-up, 113 (90%) patients were in remission and had preserved kidney function. 3 patients with steroid-resistant MCNS progressed to end-stage renal disease, which was associated with focal segmental glomerulosclerosis lesions on repeat biopsy. LIMITATIONS Retrospective design, variable treatment protocols. CONCLUSIONS The large majority of patients who had MCNS with onset in adulthood or late adolescence were treated with corticosteroids and reached remission, but many had relapses. Cyclophosphamide resulted in stable remission in many patients with relapses. Significant morbidity was observed due to acute kidney injury and other complications. Progression to end-stage renal disease occurred in a few patients and was explained by focal segmental glomerulosclerosis.
Psychological characteristics of Korean children and adolescents with type 1 diabetes mellitus

Purpose This study investigates the behavioral and emotional characteristics of Korean children and adolescents with type 1 diabetes mellitus (T1DM) as compared to healthy controls, and examines whether their psychological status is associated with glycemic control, insulin regimens, or disease duration. Methods A total of 37 Korean children and adolescents with T1DM, aged 6-17 years, and 38 sex- and age-matched healthy controls were included in this study. Psychological distress was assessed using the Korean child behavior checklist (K-CBCL) and children's depression inventory (CDI) after the subjects and their parents were interviewed. Results The CDI and K-CBCL scores were significantly higher in T1DM subjects compared to normal controls. The T1DM subjects with "poorly controlled" blood glucose (glycosylated hemoglobin ≥8%) and "old patients" (disease duration ≥1 year) had a tendency to show higher CDI and K-CBCL scores. There were no significant differences in CDI and K-CBCL scores between the intensive and conventional insulin therapy groups. Conclusion Children and adolescents with T1DM seem to have inferior psychological adjustment to their normal counterparts, which might be associated with glycemic control and disease duration. Psychological evaluation and intervention should be considered in the management of T1DM in children and adolescents.
Belief Propagation: An Asymptotically Optimal Algorithm for the Random Assignment Problem

The random assignment problem asks for the minimum-cost perfect matching in the complete n × n bipartite graph Knn with i.i. d. edge weights, say uniform on [0, 1]. In a remarkable work by Aldous [Aldous, D. 2001. The ζ(2) limit in the random assignment problem. RSA18 381--418], the optimal cost was shown to converge to ζ(2) as n → ∞, as conjectured by Mezard and Parisi [Mezard, M. , G. Parisi. 1987. On the solution of the random link matching problem. J. Phys.48 1451--1459] through the so-called cavity method. The latter also suggested a nonrigorous decentralized strategy for finding the optimum, which turned out to be an instance of the belief propagation (BP) heuristic discussed by Pearl [Pearl, J. 1988. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann, San Francisco]. In this paper we use the objective method to analyze the performance of BP as the size of the underlying graph becomes large. Specifically, we establish that the dynamic of BP on Knn converges in distribution as n → ∞ to an appropriately defined dynamic on the Poisson weighted infinite tree, and we then prove correlation decay for this limiting dynamic. As a consequence, we obtain that BP finds an asymptotically correct assignment in O(n2) time only. This contrasts with both the worst-case upper bound for convergence of BP derived by Bayati et al. [Bayati, M. , D. Shah, M. Sharma. 2008. Max-product for maximum weight matching: Convergence, correctness, and LP duality. IEEE Trans. Inform. Theory54(3) 1241--1251. ] and the best-known computational cost of Θ(n3) achieved by Edmonds and Karp's algorithm [Edmonds, J., R. Karp. 1972. Theoretical improvements in algorithmic efficiency for network flow problems. J. ACM19 248--264].
Cure of gastric antral vascular ectasia by liver transplantation despite persistent portal hypertension: A clue for pathogenesis

Gastric antral vascular ectasia (GAVE) is a rare cause of chronic bleeding in cirrhotic patients. It has been suggested that these gastric lesions might be related to portal hypertension, hepatic insufficiency, or both parameters. We report two cases of cirrhotic patients in whom GAVE was the source of recurrent bleeding. These patients also had complete portal vein thrombosis. Liver transplantation was performed and an end‐to‐end cavoportal anastomosis was performed, leaving patients with persistent portal hypertension after surgery. We observed complete disappearance of the antral lesions several weeks after transplantation, which shows that the GAVE is not related to portal hypertension but is rather a direct consequence of liver failure. Possible pathophysiologic mechanisms are discussed.
Epsilon grid order: an algorithm for the similarity join on massive high-dimensional data

The similarity join is an important database primitive which has been successfully applied to speed up applications such as similarity search, data analysis and data mining. The similarity join combines two point sets of a multidimensional vector space such that the result contains all point pairs where the distance does not exceed a parameter ε. In this paper, we propose the Epsilon Grid Order, a new algorithm for determining the similarity join of very large data sets. Our solution is based on a particular sort order of the data points, which is obtained by laying an equi-distant grid with cell length ε over the data space and comparing the grid cells lexicographically. A typical problem of grid-based approaches such as MSJ or the ε-kdB-tree is that large portions of the data sets must be held simultaneously in main memory. Therefore, these approaches do not scale to large data sets. Our technique avoids this problem by an external sorting algorithm and a particular scheduling strategy during the join phase. In the experimental evaluation, a substantial improvement over competitive techniques is shown.
"Teachers and Classes" with Neural Networks

A convenient mapping and an efficient algorithm for solving scheduling problems within the neural network paradigm is presented. It is based on a reduced encoding scheme and a mean field annealing prescription which was recently successfully applied to TSP. Most scheduling problems are characterized by a set of hard and soft constraints. The prime target of this work is the hard constraints. In this domain the algorithm persistently finds legal solutions for quite difficult problems. We also make some exploratory investigations by adding soft constraints with very encouraging results. Our numerical studies cover problem sizes up to O(105) degrees of freedom with no parameter tuning. We stress the importance of adding self-coupling terms to the energy functions which are redundant from the encoding point of view but beneficial when it comes to ignoring local minima and to stabilizing the good solutions in the annealing process.
Participation inequality in mobile location games

Free All Monsters! is a novel location based mobile game and associated online web-based portal, which allows participants to create content that populates the game. The concept has recently transitioned from an initial prototype trialled at very specific events to an iPhone application that will allow the game to be played anywhere in the world. In this paper we present the ongoing research that considers how location based games have to be re-designed to accommodate the necessary increase of scale, how emergent behaviour manifests itself within the game and whether the notion of participation inequality is equally evident in such a system. The results show how new game behaviour is emerging from the original prototype and that participation inequality is still evident. From this suggestions are proposed regarding how these effects may be overcome.
Cytokine and Nitric Oxide Levels in Patients with Sepsis – Temporal Evolvement and Relation to Platelet Mitochondrial Respiratory Function

Background The levels of nitric oxide (NO) and various cytokines are known to be increased during sepsis. These signaling molecules could potentially act as regulators and underlie the enhancement of mitochondrial function described in the later phase of sepsis. Therefore, we investigated the correlation between observed changes in platelet mitochondrial respiration and a set of pro- and anti-inflammatory cytokines as well as NO plasma levels in patients with sepsis. Methods and Results Platelet mitochondrial respiration and levels of TNFα, MCP-1 (monocyte chemotactic protein-1), INFγ (interferon-γ), IL-1β, IL-4, IL-5, IL-6, IL-8, IL-10 and IL-17 and NO were analyzed in 38 patients with severe sepsis or septic shock at three time points during one week following admission to the ICU. Citrate synthase, mitochondrial DNA and cytochrome c were measured as markers of cellular mitochondrial content. All mitochondrial respiratory states increased over the week analyzed (p<0.001). IL-8 levels correlated with maximal mitochondrial respiration on day 6–7 (p = 0.02, r2 = 0.22) and was also higher in non-survivors compared to survivors on day 3–4 and day 6–7 (p = 0.03 respectively). Neither NO nor any of the other cytokines measured correlated with respiration or mortality. Cytochrome c levels were decreased at day 1–2 by 24±5% (p = 0.03) and returned towards values of the controls at the last two time points. Citrate synthase activity and mitochondrial DNA levels were similar to controls and remained constant throughout the week. Conclusions Out of ten analyzed cytokines and nitric oxide, IL-8 correlated with the observed increase in mitochondrial respiration. This suggests that cytokines as well as NO do not play a prominent role in the regulation of platelet mitochondrial respiration in sepsis. Further, the respiratory increase was not accompanied by an increase in markers of mitochondrial content, suggesting a possible role for post-translational enhancement of mitochondrial respiration rather than augmented mitochondrial mass.
The tumor promoter arsenite stimulates AP‐1 activity by inhibiting a JNK phosphatase.

Trivalent arsenic (As3+) is highly carcinogenic, but devoid of known mutagenic activity. Therefore, it is likely to act as a tumor promoter. To understand the molecular basis for the tumor‐promoting activity of As3+, we examined its effect on transcription factor AP‐1, whose activity is stimulated by several other tumor promoters. We found that As3+, but not As5+, which is toxic but not carcinogenic, is a potent stimulator of AP‐1 transcriptional activity and an efficient inducer of c‐fos and c‐jun gene expression. Induction of c‐jun and c‐fos transcription by As3+ correlates with activation of Jun kinases (JNKs) and p38/Mpk2, which phosphorylate transcription factors that activate these immediate early genes. No effect on ERK activity was observed. As5+, on the other hand, had a negligible effect on JNK or p38/Mpk2 activity. Biochemical analysis and co‐transfection experiments strongly suggest that the primary mechanism by which As3+ stimulates JNK activity involves the inhibition of a constitutive dual‐specificity JNK phosphatase. This phosphatase activity appears to be responsible for maintaining low basal JNK activity in non‐stimulated cells and its inhibition may lead to tumor promotion through induction of proto‐oncogenes such as c‐jun and c‐fos, and stimulation of AP‐1 activity. The same phosphatase may also regulate p38/Mpk2 activity.