Miracle-dz/UniFAR-FTUs huggingface dataset:
Disorder effect on electronic and optical properties of doped carbon nanotubes

In this work, we investigate the effects of disorder in the doped carbon nanotubes. Based on the extended Su-Schrieffer-Heeger model, it is shown that with the increase of doped impurity atoms, such as nitrogen or boron, the symmetry of the hopping processes among the doped and carbon lattices collapses, and the statistics of the nearest neighbor energy level spacing changes from the Poisson distribution to the Wigner distribution, indicating the occurrence of disorder effect in heavily doped nanotubes. As a result, the nanotube changes from a metal to a semiconductor. We also study the disorder effect on linear optical absorption in doped nanotubes. It is demonstrated that the linear optical absorption can be greatly suppressed due to the collapse of the discrete spatial symmetry in heavily doped nanotubes. Based on the random matrix theory, we carry out a theoretical analysis, which agrees well with our numerical simulations.
Lump Sum Distributions from Pension Plans: Recent Evidence and Issues for Policy and Research

We examine preretirement lump sum distributions (LSDs) from pension plans, which have grown significantly in recent years. Most LSD recipients do not roll over the funds into qualified accounts, but the likelihood of rollover rises for larger distributions. We find evidence suggesting that tax penalties imposed in 1986 on nonrollovers by people younger than 55 raised the likelihood of rollovers among this group, but had much less effect on the likelihood that such households saved the funds, where saving includes investing in taxable assets and paying off debt. We estimate that cashouts reduce annual retirement income by up to $1,000-3,000.
Title : When and for whom should booster hepatitis B vaccination be recommended ?

Author’s reply We would like to thank Prof. Zanetti and his coworkers for their interest in our study. 1 In the letter, Prof. Zanetti summarized the most important findings of our work and pointed out that immunological memory usually persists in subjects who did not have a protective level of anti-HBs titer. However, without protective levels of anti-HBs, memory cells alone are probably unable to protect against acute infection promptly. 2 Furthermore, the duration of humoral immunity to viral and vaccine antigens varies significantly. 3 In the Rosado’s study, the mean number of anti-HBs IgG-secreting cells in children who received HB vaccination 5 years before and had Hepatology
Phytoremediation of Cadmium, Lead and Zinc by Brassica juncea L. Czern and Coss

Objectives: To determine the potential of Brassica juncea to take up heavy metals (Cd, Pb and Zn) from aquatic environment. Methodology and results: The uptake of Cadmium (Cd), Lead (Pb) and Zinc (Zn) was studied at various concentrations, i.e. 0, 5, 10, 20 and 50 μg ml -1 in Steinberg’s solution over a period of 21 days. After 21 days, the plants were harvested, dried and the root and shoot biomass weighed. The uptake of each metal was studied in the root and shoot respectively, to determine the bioaccumulation coefficient of metals in B. juncea. The translocation factor was calculated so as to study the efficiency of the plants to bioaccumulate each metal in roots and shoot. The result showed that the heavy metals accumulated more in roots than in the shoots. When plants were exposed to the higher concentration (50 μg ml -1 ) of Cd or Pb, the metals were present at an average of 18.42 and 12.27 mg g -1 tissue in the root, respectively, and at 3.35 and 2.48 mg g -1 tissue in the shoots, respectively. The average concentration of zinc was 26.52 mg gm -1 and 2.59 mg g -1 in root and shoot respectively, when exposed to 50 μg ml -1 of zinc. Conclusions and application of findings : Brassica juncea has been found to have high potential to remediate Cd, Pb and Zn from aquatic environment with up to a maximum concentration of 50 μg ml -1 . This plant can therefore be grown in aquatic environment that are contaminated with heavy metals, after which the plant biomass can be harvested and burned to ash to recover the metals or to be disposed of appropriately and safely.
Mini review on emerging methods of preparation of liposome and its application as Liposome drug delivery systems

Liposomes, sphere-shaped vesicles consisting of one or more phospholipid bilayers, were fi rst described in the mid-60s. Nowadays, they are a very useful reproduction, reagent, and device in various scientifi c disciplines, including medicine, chemistry, biochemistry, colloid science, biology, physics, biophysics, mathematics and theoretical.
Trilobite alpha diversity and the reorganization of Ordovician benthic marine communities

The Ordovician saw the transformation of marine benthic communities from the trilobite-based Cambrian Fauna to the brachiopod-dominated Paleozoic Fauna. An evaluation of the changing importance of trilobites during the Ordovician can be made from accurate assessments of taxonomic richness in various habitats. Here we present a new compilation of trilobite alpha diversity based on field collections and survey of the literature. The data indicate that trilobite species richness within nearshore, shallow subtidal, carbonate buildup and deep subtidal shelf environments was essentially constant between the Late Cambrian and the Late Ordovician. The alpha diversity patterns do not support the notion that trilobites became displaced from inner shelf environments during the Ordovician. Rather, the data are consistent with a decline in relative importance of the group through dilution as newly radiating invertebrate groups entered Ordovician paleocommunities. They also imply that direct interactions between elements of the Cambrian and Paleozoic faunas were not involved in the Ordovician reorganization of paleocommunities. Like many other major faunal transitions during the Phanerozoic, the Ordovician radiations appear to have been essentially non-competitive in nature.
Arctic shrubification mediates the impacts of warming climate on changes to tundra vegetation

Climate change has been observed to expand distributions of woody plants in many areas of arctic and alpine environments—a phenomenon called shrubification. New spatial arrangements of shrubs cause further changes in vegetation via changing dynamics of biotic interactions. However, the mediating influence of shrubification is rarely acknowledged in predictions of tundra vegetation change. Here, we examine possible warming-induced landscape-level vegetation changes in a high-latitude environment using species distribution modelling (SDM), specifically concentrating on the impacts of shrubification on ambient vegetation. First, we produced estimates of current shrub and tree cover and forecasts of their expansion under climate change scenarios to be incorporated to SDMs of 116 vascular plants. Second, the predictions of vegetation change based on the models including only abiotic predictors and the models including abiotic, shrub and tree predictors were compared in a representative test area. Based on our model predictions, abundance of woody plants will expand, thus decreasing predicted species richness, amplifying species turnover and increasing the local extinction risk for ambient vegetation. However, the spatial variation demonstrated in our predictions highlights that tundra vegetation can be expected to show a wide variety of different responses to the combined effects of warming and shrubification, depending on the original plant species pool and environmental conditions. We conclude that realistic forecasts of the future require acknowledging the role of shrubification in warming-induced tundra vegetation change.
Low Power Semiconductor Devices at 65nm Technology Node

This paper attempts to analyze the performance of 65 nm CMOS device structures for low power applications. It indicates that the historical trend of scaling of MOS devices can be sustained by innovative CMOS Structures such as Ultra- thin body SOI devices and multiple gate MOSFETS (such as FinFETS), that can withstand the adverse effects of Scaling. A particular issue of great concern in logic design is the power dissipation. For high- performance logic with increased leakage currents, chip static power dissipation is expected to become a bottleneck to meet aggressive targets for performance scaling. Innovations in circuit design and architecture for performance management as well as utilization of multiple transistors on chip are required for chip design. Multiple transistors having different threshold voltages (Vt) are used selectively with the low Vt, high leakage devices being used mainly in the critical paths and higher Vt, lower leakage devices being used in the rest of the chip area to control static power dissipation. This paper presents the low static power dissipation CMOS devices at 65 nm technology node and compares the performance of SOI CMOS with the conventional planar Bulk CMOS and establishes that SOI CMOS is better suited for low stand-by power applications. A low leakage current of 0.2 pA/μm for NMOS and 0.1 pA/μm for PMOS was observed for SOI devices at a supply voltage of 1.5V as compared to 10nA/μm for bulk CMOS devices at a supply voltage of 1.2V.
Satellite cell activation and number following acute and chronic exercise: A mini review

Skeletal muscle satellite cells are stem cells that facilitate muscle repair and regeneration following “damage”. Such “damage” occurs following exercise, and leads to activation and proliferation of these cells from their quiescent state therefore increasing cell numbers. In this mini review the likely triggers for satellite cell activation following exercise are discussed, along with the some of the recent data that shows that satellite cell number is increased acutely following exercise and chronically as a result of long term training, in a manner that appears somewhat dependent upon skeletal muscle fibre type and exercise intensity but not overall exercise type. Citation: Martin NRW, Lewis MP. (2012) Satellite cell activation and number following acute and chronic exercise: A mini review. Cellular and Molecular Exercise
Perceived support, affective commitments and subjective career success: a person-centred approach

The aim of the present study is to test a model that combines the source of perceived support, be it organisational or union-based, the profile of affective commitment and the subjective career success of 1100 employees who are also members of a trade union. The results obtained from an iterative classification process identified four distinct profiles: those with very little commitment, those committed to the organisation, those committed to the trade union, and those committed to both. Two key findings emerge from this: firstly, each source of perceived support has a predictive impact on the affiliation to a specific affective commitment profile. Only in cases where individuals are poorly supported by both the organisation and the trade union do we struggle to anticipate the employee’s attitude. Secondly, the commitment profile is related to subjective career success. For instance, a lack of organisational commitment appears to be far more detrimental than a lack of trade union commitment. These findings indicate that the internalisation of organisational norms resulting from the perceived support and revealed by the commitment profile can be added to the list of antecedents of subjective career success.
BioNet Tutorial

The first part of this tutorial exemplifies how an integrated network analysis can be conducted using the BioNet package. Here we will integrate gene expression data from different lymphoma subtypes and clinical survival data with a comprehensive protein-protein interaction (PPI) network based on HPRD. This is shown first in a quick start and later in a more detailed analysis. The second part will focus on the integration of gene expression data from Affymetrix single-channel microarrays with the human PPI network. 1 Quick Start The quick start section gives a short overview of the essential BioNet methods and their application. A detailed analysis of the same data set of diffuse large B-cell lymphomas is presented in section 3 . The major aim of the presented integrated network analysis is to identify modules, which are differentially expressed between two different lymphoma subtypes (ABC and GCB) and simultaneously are risk associated (measured by the survival analysis). First of all, we load the BioNet package and the required data sets, containing a human protein-protein interaction network and p-values derived from differential expression and survival analysis. > library(BioNet) > library(DLBCL) > data(dataLym) > data(interactome) Then we need to aggregate these two p-values into one p-value. > pvals <cbind(t = dataLym$t.pval, s = dataLym$s.pval) > rownames(pvals) <dataLym$label > pval <aggrPvals(pvals, order = 2, plot = FALSE) Next a subnetwork of the complete network is derived, containing all the proteins which are represented by probesets on the microarray. And self-loops are removed. > subnet <subNetwork(dataLym$label, interactome) > subnet <rmSelfLoops(subnet) > subnet
Plasma plaster beginnings of something great Beeks

Disclaimer This document contains a student thesis (bachelor's or master's), as authored by a student at Eindhoven University of Technology. Student theses are made available in the TU/e repository upon obtaining the required degree. The grade received is not published on the document as presented in the repository. The required complexity or quality of research of student theses may vary by program, and the required minimum study period may vary in duration.
Veri cation of the Randomized Consensus Algorithm of Aspnesand Herlihy : a Case Study

The Probabilistic I/O Automaton model of 20] is used as the basis for a formal presentation and proof of the randomized consensus algorithm of Aspnes and Herlihy. The algorithm guarantees termination within expected polynomial time. The Aspnes-Herlihy algorithm is a rather complex algorithm. Processes move through a succession of asynchronous rounds, attempting to agree at each round. At each round, the agreement attempt involves a distributed random walk. The algorithm is hard to analyze because of its use of nontrivial results of probability theory (speciically, random walk theory), because of its complex setting, including asynchrony and both nondeterministic and probabilistic choice, and because of the interplay among several diierent sub-protocols. We formalize the Aspnes-Herlihy algorithm using probabilistic I/O automata. In doing so, we decompose it formally into three subprotocols: one to carry out the agreement attempts, one to conduct the random walks, and one to implement a shared counter needed by the random walks. Properties of all three subprotocols are proved separately, and combined using general results about automaton composition. It turns out that most of the work involves proving non-probabilistic properties (invariants, simulation mappings, non-probabilistic progress properties, etc.). The probabilistic reasoning is isolated to a few small sections of the proof. The task of carrying out this proof has led us to develop several general proof techniques for probabilistic I/O automata. These include ways to combine expectations for diierent complexity measures, to compose expected complexity properties, to convert probabilistic claims to deterministic claims, to use abstraction mappings to prove probabilistic properties , and to apply random walk theory in a distributed computational setting. We apply all of these techniques to analyze the expected complexity of the algorithm. This paper is written in memory of Anna Pogosyants, who died in a car crash in December 1995 while working on this project for her Ph.D. dissertation.
Lactate Are Increased in Plasma and Urine Samples of Type 2 Diabetes as Measured by a Simultaneous Quantification of L(+) and D(−) Lactate by Reversed-Phase Liquid Chromatography Tandem Mass Spectrometry

1 Laboratory for Metabolism and Vascular Medicine, Department of Internal Medicine, Maastricht University, P. Debeyelaan 25, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands 2 Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands 3 Division of Gastroenterology and Hepatology, Department of Internal Medicine, Maastricht University, Maastricht, The Netherlands
Effect of Various Herbal Medicine Extracts on the Physico-chemical Properties of Emulsion-type Pork Sausage

The purpose of this study was to evaluate the functional properties of herbal medicine aqueous extracts as natural preservatives to improve the quality characteristics and oxidative stability of emulsion-type pork sausage. The pH value was significantly higher in sausages of control than in groups containing herbal medicine extracts (p<0.05). The shear force values increased with the addition of herbal medicine extracts (p<0.05). The addition of herbal medicine extracts also reduced the lightness and redness, and increased the yellowness, chroma, and hue observed during storage (p<0.05). In addition, the anti-oxidative activity including 2-thiobarbituric acid reactive substances (TBARS), peroxide value (POV), and 2,2-diphenyl-1-picryhydrazla hydrate (DPPH) was higher in the Akebiaquinata (T3), Lonicera japonica (T4), and Chelidoniummajus (T5) groups than in the other groups (p<0.05). In a sensory evaluation, the Liriopeplatyphylla (T1) and Saposhnikoviaedivaricata (T2) groups scored lower than the control, whereas the T3, T4, and T5 groups showed similar attributes compared with the control. In conclusion, the addition of herbal medicine extracts did not have negative effects on the quality of emulsion-type pork sausage, and they could be used as a natural antioxidant material to prevent lipid oxidation in meat products.
Endocrinology and Differentiation of White Adipose Tissue

In the last two decades there has been a growing interest in the scientific community to study the function of adipose tissue (AT), partly due to concerns about obesity and its metabolic consequences and also for recognition that adipocytes integrate a wide range of homeostatic processes. This paper shows the advances in research on the white adipose tissue physiology, with emphasis on its role on endocrine, metabolic and inflammatory process, as well as the adipogenic process. The knowledge of the molecular events that regulate differentiation of pre-adipocytes and mesenchymal stem cells into adipocytes or adipogenesis is critical for understanding the genesis of obesity. This issue will also be approached on this review. Key-Words: adipogenesis; adipokines; obesity
INNOVATIVE REMOTE SENSING TECHNIQUES TO INCREASE NITROGEN USE EFFICIENCY OF CORN

Nitrogen (N) fertilizer recommendations made without adequate knowledge of the N supply capability of a soil can lead to ineffi-cient use of N. Proper crediting of N from manure and legumes as well as mineralization of N from organic matter is difficult. Remote sensing techniques that use the crop to indicate its N status show considerable promise for improving N management. Objectives of this paper were twofold: 1) to compare the N Reflectance Index (NRI) calculated from ground-based radiometer measurements acquired over irrigated corn (Zea mays L.) at a nadir view (0°) and an oblique view (75°) with measured plant N and 2) to evaluate the NRI obtained from both view angles for correcting in-season N deficiencies in a commercial corn field. The NRI calculated from canopy reflectance was not representative of plant N at the sixth leaf growth stage (V6) for either view angle because of the soil background influence on canopy reflectance. However, the oblique view NRI was a good predictor of plant N at V9 and V12 as was the nadir view NRI at V12. The nadir view NRI was not as sensitive as the oblique view NRI at the V9 growth stage because soil was still visible through the canopy. Consequently, the nadir view NRI provides a conservative estimate of plant N prior to complete canopy cover. Use of the nadir view NRI to detect in-season corn N deficiencies for the 1999 growing season reduced N application during the growing season by 39.2 kg N ha−1without reducing grain yield. If the oblique view NRI would have been used to assess the plant N status, the first fertigation would not have been recommended which would have saved additional N.
Dalitz plot analysis of B-s(0) -> (D)over-bar(0)K(-)pi(+) decays

The resonant substructure of B-s(0) -> (D) over bar K-0(-)pi(+) decays is studied with the Dalitz plot analysis technique. The study is based on a data sample corresponding to an integrated luminosity of 3.0 fb(-1) of pp collision data recorded by LHCb. A structure at m((D) over bar K-0(-)) approximate to 2.86 GeV/c(2) is found to be an admixture of spin-1 and spin-3 resonances. The masses and widths of these states and of the D-s2*(2573)(-) meson are measured, as are the complex amplitudes and fit fractions for all the (D) over bar K-0(-) and K-pi(-) components included in the amplitude model. In addition, the D-s2*(2573)(-) resonance is confirmed to be spin 2.
A physics-based approach to oversample multi-satellite, multispecies observations to a common grid

Abstract. Satellite remote sensing of the Earth's atmospheric composition usually samples irregularly in space and time, and many applications require spatially and temporally averaging the satellite observations (level 2) to a regular grid (level 3). When averaging level 2 data over a long period to a target level 3 grid that is significantly finer than the sizes of level 2 pixels, this process is referred to as “oversampling”. An agile, physics-based oversampling approach is developed to represent each satellite observation as a sensitivity distribution on the ground, instead of a point or a polygon as assumed in previous methods. This sensitivity distribution can be determined by the spatial response function of each satellite sensor. A generalized 2-D super Gaussian function is proposed to characterize the spatial response functions of both imaging grating spectrometers (e.g., OMI, OMPS, and TROPOMI) and scanning Fourier transform spectrometers (e.g., GOSAT, IASI, and CrIS). Synthetic OMI and IASI observations were generated to compare the errors due to simplifying satellite fields of view (FOVs) as polygons (tessellation error) and the errors due to discretizing the smooth spatial response function on a finite grid (discretization error). The balance between these two error sources depends on the target grid size, the ground size of the FOV, and the smoothness of spatial response functions. Explicit consideration of the spatial response function is favorable for fine-grid oversampling and smoother spatial response. For OMI, it is beneficial to oversample using the spatial response functions for grids finer than ∼16 km. The generalized 2-D super Gaussian function also enables smoothing of the level 3 results by decreasing the shape-determining exponents, which is useful for a high noise level or sparse satellite datasets. This physical oversampling approach is especially advantageous during smaller temporal windows and shows substantially improved visualization of trace gas distribution and local gradients when applied to OMI NO2 products and IASI NH3 products. There is no appreciable difference in the computational time when using the physical oversampling versus other oversampling methods.