Miracle-dz/UniFAR-FTUs huggingface dataset:
Ultraviolet laser photoemission spectroscopy of FeSi: Observation of a gap opening in density of states

K. Ishizaka,1 T. Kiss,2 T. Shimojima,1 T. Yokoya,3 T. Togashi,4 S. Watanabe,1 C. Q. Zhang,5 C. T. Chen,5 Y. Onose,6 Y. Tokura,6,7,8 and S. Shin1,4 1Institute for Solid State Physics, University of Tokyo, Kashiwa, Chiba 277-8581, Japan 2The Institute of Physical and Chemical Research (RIKEN), Wako, Saitama 351-0198, Japan 3The Graduate School of Natural Science and Technology, Okayama University, Okayama 700-8530, Japan 4The Institute of Physical and Chemical Research (RIKEN), Sayo-gun, Hyogo 679-5143, Japan 5Beijing Center for Crystal R&D, Chinese Academy of Science, Zhongguancun, Beijing 100080, China 6Spin Superstructure Project, ERATO, Japan Science and Technology Agency (JST), Tsukuba 305-8562, Japan 7Department of Applied Physics, University of Tokyo, Tokyo 113-8656, Japan 8Correlated Electron Research Center (CERC), National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba 305-8562, Japan Received 6 October 2005; published 16 December 2005
EFFECT OF PLATICIZERS ON IN VITRO RELEASE AND EX VIVO PERMEATION OF CHLORPHENIRAMINE MALEATE FROM ETHYL CELLULOSE POLYVINYL PYRROLIDONE BASED MATRIX PATCHES

The present release and permeation studies were carried out for developing transdermal therapeutic systems with chlorpheniramine maleate (CPM). The matrix patches were prepared from ethyl cellulose (EC) with polyvinyl pyrrolidone (PVP) as the copolymer and plasticizers like dibutyl phthalate (DBP), dibutyl sebacate (DBS), triethyl citrate (TEC), acetyl triethyl citrate (ATEC), tributyl citrate (TBC) and acetyl tributyl citrate (ATBC) in different percentages. Thickness, tensile strength, elasticity, drug content, moisture content and water absorption studies of the matrix patches were measured. In vitro release/permeation of CPM was studied in a modified Keshary - Chien diffusion cell. Experimental release/permeation data (percent release and flux, µgm/cm 2 .hr) of different formulations of the matrix systems are reported. Also the drug-polymer interaction was investigated by ATR-FTIR studies. This study reports the effect of CPM in EC patch and suitable amount of plasticizer for better controlled release/permeation of CPM; hence this drug could be a potential candidate for transdermal antihistamine applications in film device industry. Rezumat Studiile de eliberare si de permeabilitate prezentate in articol au fost efectuate pentru dezvoltarea de sisteme terapeutice transdermice cu maleat de clorfeniramină (CPM). Matricele sistemelor terapeutice au fost pregătite din etil celuloză (CE) cu polivinil pirolidonă (PVP), ca copolimer si diferiţi agenţi plastifianţi, cum ar fi dibutilftalat (DBP), dibutil sebacat (DBS), citrat de trietil (TCE), acetil citrat de trietil (ATEC), citrat de tributil (TBC) si acetil citrat de tributil (ATBC), in procente diferite. Au fost măsurate: grosimea, rezistenţa, conţinutul de substanta activa, umiditatea, elasticitatea, studii de absorbţie a apei. In vitro, eliberarea si penetrarea CPM-ului au fost studiate in celule de difuzie Keshary Chien modificate. Sunt prezentate in articol datele experimentale privind eliberarea si permeabilitatea diferitelor formule ale sistemelor de matrice. De asemenea, interacţiunea medicament-polimer a fost investigată prin studii ATR-FTIR. Acest studiu prezintă efectul
A new collocation method based on Euler polynomials for solution of generalized pantograph equations

Abstract: In this paper, a new collocation method based on Euler polyno mials is improved for the numerical solution of generalized pantograph equations. This method transforms the generali z d pantograph equations into the matrix equation with the h elp of Euler polynomials and collocation points. This matrix equation c rresponds to a system of linear algebraic equations with th e unknown Euler coefficients. By solving this system, the unknown Euler coef fici nts of the solution are found. Some numerical examples a r given and comparisons with other methods are made in order to demonstr ate the applicability and validity of the proposed method.
Regeneration and Colonization of an Invasive Macrophyte Grass in Response to Desiccation

The emergent macrophyte Urochloa subquadripara, an exotic and invasive species, causes extensive damage to aquatic plant assemblages. Regeneration and colonization by fragments of U. subquadripara may be affected by desiccation and may differ according to the fragment portion (apical, intermediate or basal). We tested the hypotheses that the ability of U. subquadripara fragments to regenerate and colonize declines with increasing time of exposure to desiccation, and that apical portions regenerate and colonize more quickly than intermediate and basal ones. Apical, intermediate and basal portions were exposed to different desiccation periods and left to grow in a greenhouse. Sprout and root growth were negatively and significantly affected by the desiccation period; fragments exposed to intermediate levels of desiccation regenerated and colonized the sediment at rates similar to those of the control. In addition, apical fragments showed greater development and sediment colonization than intermediate and basal fragments. Thus, the data supported our two hypotheses. Our results show that U. subquadripara has a high regeneration potential, indicating that the use of water drawdown to control its spread may be ineffective, and new strategies are required.
Analyzing observed composite differences across groups: Is partial measurement invariance enough?

Although the use of structural equation modeling has increased during the last decades, the typical procedure to investigate mean differences across groups is still to create an observed composite score from several indicators and to compare the composite’s mean across the groups. Whereas the structural equation modeling literature has emphasized that a comparison of latent means presupposes equal factor loadings and indicator intercepts for most of the indicators (i.e., partial invariance), it is still unknown if partial invariance is sufficient when relying on observed composites. This Monte-Carlo study investigated whether one or two unequal factor loadings and indicator intercepts in a composite can lead to wrong conclusions regarding latent mean differences. Results show that unequal indicator intercepts substantially affect the composite mean difference and the probability of a significant composite difference. In contrast, unequal factor loadings demonstrate only small effects. It is concluded that.
Simple Branching Models for Macroevolution

The theoretical tools of Statistical Physics offer powerful techniques to analyse problems in which chance and probabilities play a role. One of such subjects is the understanding of the rules of macroevolution, i.e., evolutionary development and diversification of species, which remains a not well developed part of evolutionary biology. Phylogenetic trees, describing the estimated evolutionary relationships between biological species, are obtained directly from molecular data and are an important indirect evidence for diversification patterns in macroevolution. Therefore, analysing the structures of such estimated trees and comparing to those obtained from branching models is an interesting approach to capture the rules of macroevolution. In this thesis, we analyze the phylogenetic trees in the TREEBASE and PANDIT databases and characterize their topology (in particular their balance degree) via the mean depth, i.e. the average number of ancestor nodes from the tips to the root. A non-logarithmic scaling with tree size is found, which is not easy to get with branching models existing in the literature. With this motivation, we analyze analytically and numerically three simple branching models, two of which are proposed by us, and try to find their biological meaning if possible. The first is Ford’s alpha model; although a power law scaling of the mean depth with tree size was established analytically, our numerical results illustrate that the asymptotic regime is approached only at very large tree sizes. For the second model, named as activity model, we show analytically and numerically that it also displays a power law scaling of the mean depth with tree size at a critical parameter. Finally, we propose the so called age model in which the probability of branching depends on the age of the tips with a power parameter. The results of this model at a critical parameter value, which we are capable to express analytically, display a scaling behavior similar to the one obtained from databases analysed. In addition it is potentially open to biological interpretation.
Entrepreneurial Intentions of Tourism Students: An Integrated Structural Model Approach

Tourism and entrepreneurship have mutually established a fertile ground for developing destinations economy notably creating job opportunities and innovation in tourism and hospitality industry. The present investigation aims to examine constructs ability of Krueger’s (2009) model, an empirically untested integrated model of entrepreneurial intention, in explaining tourism students’ intention of starting up a business. The statistical population consisted of undergraduate and graduate Iranian tourism management students as potential group of entrepreneurs. Using the SEM-PLS method, the current study’s findings contribute to the improvement of entrepreneurial intentions models literature by examining an untested integrated and structural model in the field. The study findings reveal that there is a statistically significant relationship between entrepreneurial intention and the antecedents except the perceived social norms. Also, the findings provide policymakers, academics and tourism practitioners insights into how to cultivate tourism students’ entrepreneurial thinking.
Monolithic master oscillator power amplifier at 1.58 μm for lidar measurements

Nowadays the interest in high power semiconductor devices is growing for applications such as telemetry, lidar system or free space communications. Indeed semiconductor devices can be an alternative to solid state lasers because they are more compact and less power consuming. These characteristics are very important for constrained and/or low power supply environment such as airplanes or satellites. Lots of work has been done in the 800-1200 nm range for integrated and free space Master Oscillator Power Amplifier (MOPA) [1]-[3]. At 1.5 μm, the only commercially available MOPA is from QPC [4]: the fibred output power is about 700 mW and the optical linewidth is 500 kHz. In this paper, we first report on the simulations we have done to determine the appropriate vertical structure and architecture for a good MOPA at 1.58 μm (section II). Then we describe the fabrication of the devices (section III). Finally we report on the optical and electrical measurements we have done for various devices (section IV).
Development of a portable system for detection of leaf area in plants

Recently, the determination of leaf area and growth rates in plants through portable devices has become popular due to the advantages offered by artificial vision systems to identify and classify objects using images. The purpose of the research was to develop a portable system for measuring leaf area through image recognition. The methodology includes 3D designs, acrylic device building, determining the area in pixels by the technique of radial basis neural networks (RBFN) directly in the RGB color space and pixel conversion to cm 2 . The results obtained by analysis of variance for each species showed that the p-value was greater than 0.86 for each class of plants. Moreover, the system obtained coefficients of determination higher to 0.90 for Orange leaves, coefficients of determination higher to 0.95 for Patevaca leaves and coefficients of determination higher to 0.99 for Chirimoya leaves from a set of 30 leaves belonging to 3 species of plants with different sizes and areas compared to manual analysis. This system is a useful tool for the objective determination of leaf area in plants and becomes a nationwide alternative compared to existing expensive systems. Furthermore, the system is reprogrammable, flexible, not destructive and low cost.
Is the anxiolytic-like effect of acute 8-0H-DPAT mediated by 5-HT 1A receptors?

In the study of the role of 5-HT 1A receptors in anxiety, dose-effect curve for the full 5-HT 1A receptor agonist 8-OH-DPAT was determined in rats exploring the elevated plus-maze. Dose of 0.5mg/kg, IP, of 8-OH-DPAT significantly increased the percentage of open arm entries and of time spent on the open arms, displaying an anxiolytic effect. Total number of entries into the enclosed arms, an index of locomotion, was also significantly increased. A lower (0.25mg/kg) and a higher dose (1.0mg/kg) of 8-OH-DPAT were ineffective. Contrastly, 2.0mg/kg, IP, of diazepam had a similar anxiolytic effect, but did not affect locomotion. The pretreatment with 1.0mg/kg of WAY 100135 did not antagonize the effects of 0.5mg/kg of 8-OH-DPAT on the indexes of anxiety and locomotion. These results show that 8-OH-DPAT has anxiolytic-like and locomotor stimulant effects in the elevated plus-maze. However, these effects do not seem to be mediated by 5HT 1A receptors.
Evaluation of medication errors via a computerized physician order entry system in an inpatient renal transplant unit

correspondence: Kwaku Marfo Montefiore-Einstein Center for Transplantation, Department of Pharmacy, Montefiore Medical Center, The University hospital for Albert einstein college of Medicine, 111 east 210th street, Bronx, nY 10467, UsA Tel +1 718 920 3752 Fax +1 718 798 0722 email kmarfo@montefiore.org Background: Medication errors are a prime concern for all in healthcare. As such the use of information technologies in drug prescribing and administration has received considerable attention in recent years, with the hope of improving patient safety. Because of the complexity of drug regimens in renal transplant patients, occurrence of medication errors is inevitable even with a well adopted computerized physician order entering (CPOE) system. Our objective was to quantify medication error type and frequency in an inpatient renal transplant unit. Methods: Systemic evaluation of all medication errors during an initial 10-day audit and a 28-day follow-up audit in an inpatient renal transplant unit. Each error was concurrently evaluated for potential to result in adverse patient consequences (category), error type and associated medication class. Results: A total of 103 clinically significant medication errors were detected during the 10-day (43 errors) and 28-day audit (60 errors) time periods. The most common errors were wrong medication dose ordered and wrong time of drug administration. Thirty-six out of 66 prescribing/ ordering errors reached the patient. Conclusions: Even with utilization of computerized physician order entry system in an inpatient renal transplant unit, post-kidney transplant patients are at risk for adverse outcomes due to medication errors. The risk factors may be multifactorial and will require both organizational and technical approaches to resolve.
Inflation and Stock Market Returns Volatility: Evidence from the Nigerian Stock Exchange 1995Q1-2016Q4: An E-Garch Approach

The paper investigated the effect of inflation on stock market returns on the Nigerian stock exchange market, employing a volatility modeling approach. Using monthly data on stock market returns and consumer price index inflation rate, the paper employed GARCH and E-GARCH volatility modeling techniques for analysis. The study found that CPI inflation is not an important variable in explaining stock market return volatility in Nigeria. The E-GARCH model did not find existence of asymmetry in the stock return series; that is good news and bad news have identical impact on stock returns in Nigeria. The GARCH model show high persistence in the stock returns series, though a shock to stock returns has only a temporary impact.
Soil aggregate size distribution and stability following Conventional-till, Minimum-till and No-till systems

The present study was carried out to clarify the effects of some soil physical and chemical specifications on soil aggregates size distribution and stability under different tillage methods. Conventional tillage cause to break soil aggregates especially in loamy soils consequently increase soil sensitivity to water and winderosion. On the other hand, soil aggregate size distribution and aggregate stability are the two important physical properties of the soil with profound effects on soil health. Thus, soil sensitivity to destruction might be a criterion for evaluating soil agronomic capacity that may be defined by its stability i.e. physical structure. In an experiment carried out in 2011-12 crop season at agricultural education and research farm of Tehran University, Karaj. Iran (35048'N, 510'E, and 1321m above sea level) using randomized complete block design in split-plot arrangement with three replications physical soil parameters of aggregates size distribution and stability were studied. Three tillage methods (No-till, Min-till and Conventional-till) and three bread wheat cultivars (Pishtaz, Pishgam and Bahar) were allocated to the main and sub-plots, respectively. Results showed that No-till was significantly different comparing to the other two methods in aggregates particles size distribution along with increasing aggregate stability index such as mean weight diameter, geometrical mean of particle diameter, water stable aggregate index and total soil nitrogen. However, Minimum-till was significantly different with Conventional-till in above mentioned properties (p<0.05) .
Correlation clustering on networks

Random networks with co-existing positive and negative links are studied from the viewpoint of the NP hard correlation clustering problem. The task is to produce a clustering of the vertices which maximizes the number of positive edges within clusters and the number of negative edges between clusters. Simulated annealing, Monte Carlo renormalization and molecular dynamics optimization are used to find the optimal cluster structure. Recently, this problem was studied for globally coupled systems and an interesting phase-transition-like phenomenon was predicted: in the thermodynamic limit the relative size of the largest cluster, r, exhibits a step-like behavior as a function of the density of positive links q (r = 0 if q < 1/2 and r = 1 if q > 1/2). Here we prove that when considering random networks with a constant bond density, the same phase transition is expected. A totally different result emerges however, when networks with a fixed average number of connections per node are considered. In such cases a nontrivial spin-glass-type behavior is found, where the location of the critical point shifts toward q > 1/2 values. The results also suggest that instead of the simple step-like behavior, the r(q) curve has a more complex shape, which depends on the specific topology of the considered network.
Effect of elevated CO2 on tropical soda apple and its biological control agent Gratiana boliviana (Coleoptera: Chrysomelidae)

Rising atmospheric CO2 levels could have drastic effects on the performance of invasive weeds and their insect herbivores. Despite the importance of biological control as an effective management tool for environmental weeds, there have been few studies on the potential impact of climate change on the future efficacy of biological control. The objective of the present study was to evaluate the effect of elevated CO2 on the performance of tropical soda apple Solanum viarum (Solanaceae) and its biological control agent Gratiana boliviana (Coleoptera: Chrysomelidae). We established three levels of CO2 in environmental growth chambers: ambient (400 ppm), medium (580 ppm) and high (780 ppm). Plants growing at the high level had greater biomass compared to those growing at the ambient and medium levels of CO2. Leaf water content and the amount of leaf nitrogen were reduced at high compared to ambient or medium CO2 levels. G. boliviana immature survival and developmental time were negatively affected at high CO2 but not at medium or ambient levels. Adults were lighter and smaller when reared at the high CO2 level compared to ambient and medium treatments, while adult fecundity was higher at the medium CO2 level. Leaf area consumed by fifth instars was lower when feeding on plants grown at the high CO2 level either inside a Petri dish or on potted plants. These results suggest that beetle performance may be diminished under future climate. However, further studies should incorporate other factors such as temperature and precipitation as well as the evolutionary potential of herbivores and plants to adapt to a changing climate.
Value and small firm premiums in the South African market

Numerous studies have identified both value and size effects existing in international markets. Fewer studies have been conducted that document the same effects in the South African market. In this study, portfolios were constructed based on four valuation multiples, as well as market capitalisation from 1999 2012. In this 14-year period it was found that value stocks predominantly outperformed growth stocks when defined by P/E or P/CF. Growth stocks outperformed value stocks when the portfolios were based on P/B and DY. Also, significant evidence of a small firm premium was identified on the JSE, regardless of the valuation multiple. Furthermore, small-cap value stocks generated the highest mean returns over the period. The study identifies the prevalence of these premiums on the JSE, but the comprehensive explanations for these anomalies remain inconclusive.
IDENTIFICATION OF ODOR COMPONENTS OF AGARWOOD

This article presents the use of Z-score in assessing the significant chemical compounds extracted by head space solid phase microextraction (HS-SPME) and gas chromatography – mass spectrometry (GC-MS) analysis of an agarwood oil obtained from Melaka, Malaysia. Two types of SPME fiber; polydimethylsiloxane (PDMS) and divinylbenzene-carboxen-polydimethylsiloxane (DVB-CAR-PDMS) were used. During the extraction analysis, the results showed that at least 27 and 29 compounds were identified using PDMS and DVB-CAR-PDMS fiber, respectively. DVB-CAR-PDMS fiber was found to be more efficient in terms of selectivity of compounds extraction. The application of Z-score showed that eight and eleven marker compounds were determined in PDMS and DVB-CAR-PDMS fibers, respectively. 4-Phenyl-2-butanone, a-guaiene, β-agarofuran, a-bulnesene, a-agarofuran and 10-epi-g-eudesmol were some of the compounds selected and were often reported significantly in agarwood oils as key odor compounds. The information gathered will be used for compound selection towards grading of agarwood oils by sensor technology.
A fractional Hamilton Jacobi Bellman equation for scaled limits of controlled Continuous Time Random Walks

In the article we study a controlled Continuous Time Random Walk and their position-dependent extensions. We heuristically derive the optimal payoff function equa- tions for their scaling limits. The general equation for the corresponding optimal payoff of the limiting process may be called a fractional Hamilton Jacobi Bellman equation. This paper is an improved version of the preprint: M. Veretennikova and V. Kolokoltsov. Controlled continuous time ran- dom walks and fractional Hamilton Jacobi Bellman equations. Arxiv, http://arxiv.org/abs/1203.6333, 2012.