Miracle-dz/UniFAR-FTUs huggingface dataset:
A general model for the identification of specific PAHs in the far-IR

Context. In the framework of the interstellar PAH hypothesis, far-IR skeletal bands are expected to be a fingerprint of single species in this class. Aims. A detailed model of the photo-physics of interstellar PAHs is required for such single-molecule identification of their far-IR features in the presently available Infrared Space Observatory data and in those of the forthcoming Herschel Space Observatory mission. Methods. We modelled the detailed photophysics of a vast sample of species in different radiation fields, using a compendium of Monte-Carlo techniques and quantum-chemical calculations. This enabled us to validate the use of purely theoretical data and assess the expected accuracy and reliability of the resulting synthetic far-IR emission spectra. Results. We produce positions and intensities of the expected far-IR features that ought to be emitted by each species in the sample in the considered radiation fields. A composite emission spectrum for our sample is computed for one of the most favourable sources for detection, namely the Red Rectangle nebula. The resulting spectrum is compared with the estimated dust emission in the same source to assess the dependence of detectability on key molecular parameters. Conclusions. Identifying specific PAHs from their far-IR features is going to be a difficult feat in general: still, it may well be possible under favourable conditions.
STRATEGIC PLANNING – BLIND FOLLOWERS VS. CRITICALTHINKING

The discoveries in cognitive psychology raise a number of issues with respect to strategic planning and management concepts that should be recognised and studied. The goal of the paper is to initiate a discussion about appearance of cognitive biases in strategic planning and organisational management. Affects like conformism, group pressure and obedience to authority are considered in the context of organisational plans and targets. The main thesis is to prove that these affects could lead to blind following of ideas, reduced individualism and loss of innovative potential.
Exploring the liminality: properties of haloes and subhaloes in borderline $f(R)$ gravity

We investigate the properties of dark matter haloes and subhaloes in an f(R) gravity model with |fR0| = 10 −6 , using a very high-resolution N-body simulation. The model is a border- line between being cosmologically interesting and yet still consistent with current data. We find that the halo mass function in this model has a maximum 20% enhancement compared with theCDM predictions betweenz = 1 and z = 0. Because of the chameleon mechanism which screens the deviation from standard gravity in dense environments, haloes more mas- sive than 10 13 h −1 M⊙ in this f(R) model have very similar properties to haloes of similar mass inCDM, while less massive haloes, such as that of the Milky Way, can have steeper inner density profiles and higher velocity dispersions due t o their weaker screening. The halo concentration is remarkably enhanced for low-mass haloes in this model due to a deepening of the total gravitational potential. Contrary to the naive expectation, the halo formation time zf is later for low-mass haloes in this model, a consequence of these haloes growing faster than their counterparts inCDM at late times and the definition of zf . Subhaloes, especially those less massive than 10 11 h −1 M⊙, are substantially more abundant in this f(R) model for host haloes less massive than 10 13 h −1 M⊙. We discuss the implications of these results for the Milky Way satellite abundance problem. Although the overall halo and subhalo properties in this borderline f(R) model are close to theirCDM predictions, our results suggest that studies of the Local Group and astrophysical systems, aided by high-resolution simulations, can be valuable for further tests of it.
College Students’ Personal Financial Literacy: Economic Impact and Public Policy Implications

This study analyzes the level of financial literacy among college students in Lynchburg VA area as well as the factors that impact the students’ competency in the field. Furthermore, it examines how the level of financial knowledge influences students’ opinions and decisions on personal finance matters. Past research indicates that non-business majors, women, students under age 30, with lower class ranks, and with little work experience have lower levels of financial knowledge. A major focus of this study is to test these hypotheses by administering a survey to college students in Lynchburg VA area and make inferences based on the collected data about the economic implications of the students’ financial literacy levels on the local and neighboring regions’ economies. This article is available in Undergraduate Economic Review: http://digitalcommons.iwu. edu/uer/vol4/iss1/1 Undergraduate Economic Review A publication of Illinois Wesleyan University Vol. IV – 2007 2008 Title “College Students’ Personal Financial Literacy: Economic Impact and Public Policy Implications” Author Florentina Furtuna Affiliation Randolph-Macon Woman’s College Abstract This study analyzes the level of financial literacy among college students in Lynchburg VA area as well as the factors that impact the students’ competency in the field. Furthermore, it examines how the level of financial knowledge influences students’ opinions and decisions on personal finance matters. Past research indicates that non-business majors, women, students under age 30, with lower class ranks, and with little work experience have lower levels of financial knowledge. A major focus of this study is to test these hypotheses by administering a survey to college students in Lynchburg VA area and make inferences based on the collected data about the economic implications of the students’ financial literacy levels on the local and neighboring regions’ economies. 1 Furtuna: College Students’ Personal Financial Literacy: Economic Impact an Published by Digital Commons @ IWU, 2008
TGF-β: Its role in the differentiation and function of T regulatory and effector cells

The cytokine transforming growth factor-β (TGF-β) plays an important role in the maintenance of T cell homeostasis, immune tolerance to self-antigens, and T cell differentiation during immune responses. TGF-β has pleiotropic effects on adaptive immune responses, especially on the differentiation of T helper and T regulatory cell populations, which depends on the T cell differentiation status and the stimulation conditions. This review provides an update about the roles of TGF-β in T cell responses, especially in the regulation of Treg development and biological features under steady state and inflammation. We also discuss the additional roles that TGF-β plays in the development and function of other T helper cells, such as Th1, Th2, Th9, Th17, and Th22 cells during inflammation.
Consistent approaches to van der Waals radii for the metallic elements

Abstract Due to the paucity of data on non-bonding interactions for metal atoms, no complete tabulation is available for crystallographic van der Waals radii for metallic elements. In this work several sets of van der Waals radii for metal atoms are derived indirectly. Unique data resources used for the derivation are (i) average volumes of elements in crystals, (ii) single covalent radii, (iii) Allinger´s van der Waals radii, as well as (iv) bond valence parameters for metal-oxygen bonds. The van der Waals radii for metal atoms deduced from these various approaches are basically comparable with each other, but are strikingly different from those from Bondi’s system of van der Waals radii. A complete set of new values for metallic elements up to Am, derived from bond valence parameters, are recommended.
The determinants of growth performance of small services enterprises in Yemen

This study investigated the determinants of growth performance of the small service enterprises (SSEs) in Yemen. It examined how the management capabilities’ determinants (financial operations, firm marketing and firm management), business environment determinants (macroeconomic determinants and lack of capital) and firm resources (ease of doing business, personal traits and owner characteristics) influence the performance growth of small service enterprises. The data was collected through a survey administered to 170 samples in two cites: Sana’a and Taiz in Yemen. In using the method of the structural equation modelling (SEM) based on SPSS and AMOS programs, the results found that management capabilities determinants and business environment determinants affected the growth performance of small service enterprises in the country, but the firm resources determinants did not show statically significant impacts on these enterprises in Yemen.
Liposomal Drug Delivery Systems Have Opened a New Window in Pharmaceutical Sciences: A Literature-based Review

Widespread applications of liposome make it most interested carrier system of research and development than other available carrier systems. The lipids nanomedicine system was the first to make the concept of nanomedicine delivery into clinical approach that made them an established drug delivery system in present time for enormous success. In its application, liposome drug delivery usually targets directly to the tissue, which may contain target recognition molecules or not. This article is intended to give a brief overview of liposomal drug delivery system, its worldwide applications, and future perspective. Literature search results revealed applications of the liposome are in the immunology, vaccine and antigen, target delivery, delivery of insoluble or poorly drugs, delivery of nucleic acids, tumor therapy, and in combination therapy. At present, liposomal delivery is very popular in developed country, but we hope that, in future, the liposomal drug delivery system will revolutionize in all parts of the world to make the drug delivery system as perfect and effective as possible.
Theories and empirical approaches towards political economy of trade policy

It is usually preached by economists that trade should be free, but in reality, it is almost always chained. The reason for this discrepancy lies in the fact that trade policies are set in political contexts in which policy makers have different objective function than maximizing economic efficiency. So, endogenous protection literature evolved around the ideas and reasons to explain trade policy as determined under specific political contexts. The early empirical work until late 1980s examined the correlation between different political factors and trade policies. These works were helpful in identifying relative importance of political economy variables, but were criticized to have specifications which were loosely linked with the theories behind them. In recent years with development of theoretical platforms, study of political economy of trade policy has moved to a more structured direction and empirical investigations have been done to link real world data with the model predictions. In this regard, Median Voter model and Grossman-Helpman (GH) model are the main branches of literature. Median Voter model predicts positive tariffs in capital-abundant countries and negative tariffs in labor-abundant ones, but in real world, negative tariffs are rare. Empirical investigation of this model tries to reconcile observed trade policies with median voter model and two of these studies are included in this report. Interest group model is the framework of Grossman-Helpman model in which the effect of organized lobbies in trade policy determination is taken into account. Two empirical studies of this model showed that real world data support this model. By employing modifications in GH model, researchers try to account for factors like lobbying competition and foreign lobbying in explaining data. These results show that foreign lobbying is not necessarily against trade and ignoring lobbying competition may lead to wrong conclusions about welfare mindedness of government. iv Table of contents List of Tables . v Acknowledgements . vi Chapter 1Introduction . 1 Chapter 2First generation of empirical investigation of trade policy . 2 2-1-First generation of theoretical models for trade policy . 2 2-2First Generation of empirical evidence . 3 2-2-1Canada’s tariff structure, a model for political choice . 3 2-2-2Trade liberalization; U.S. import policy . 6 2-3 Conclusion . 10 Chapter 3Median Voter model for trade policy . 11 3-1-Median Voter Model . 11 3-2Empirical Evidence of median voter model . 12 3-2-1-: Endogenous trade policy, median voter approach . 12 3-2-2Observed Tariffs and Median Voter Model . 17 3-3Conclusion . 22 Chapter 4Interest group model for trade policy. 23 4-1Grossman-Helpman model . 23 4-2Empirical investigation of GH model;U.S. nontariff bariers . 26 4-3Empirical investigation of an extension of GH model; U.S. nontariff bariers . 30 4-4extension of GH model . 37 4-4-1Effect of foreign lobbies on U.S. trade policy . 37 4-4-2Effect of lobbying competition in trade policy . 42 4-5Conclusion . 47 Chapter 5-Conclusion . 49 Bibliography: . 50
PII: S0550-3213(00)00237-6

We study conformal field theory correlation functions relevant for string diagrams with open strings that stretch between several parallel branes of different dimensions. In the framework of conformal field theory, they involve boundary condition changing twist fields which intertwine between Neumann and Dirichlet conditions. A Knizhnik–Zamolodchikov-like differential equation for correlators of such boundary twist fields and ordinary string vertex operators is derived, and explicit integral formulas for its solutions are provided.  2000 Elsevier Science B.V. All rights reserved. PACS:11.25. -w; 11.25. Hf; 02.60. Lj; 11.10. Kk
A review of the hybodont sharks from the Mesozoic of Thailand

We propose here a quick review of the hybodont assemblages from the Mesozoic of Thailand, both from the Indochina and Sibumasu (Shan-Thai) terranes. The faunas from the Triassic and the Jurassic are still imperfectly known. The faunas from the Cretaceous, found so far only in the Indochina terrane, represent an assemblage endemic to Asia and well adapted to life in freshwater. Current data suggest that they originated from a European stock sometimes during the Jurassic. These Thai assemblages seem also to suggest that the marine ptychodontids emerged from a freshwater lonchiidid lineage at the beginning of the Cretaceous.
The Market for Used Cars:

The lemons model assumes that owners of used cars have an information advantage over potential buyers with respect to the quality of their vehicles. Owners of bad cars try to sell them to ill-informed buyers while owners of good cars hold on to theirs. Consequently, the quality of traded automobiles tends to be sub-average. In contrast to previous empirical work, the following paper investigates both the behavior of buyers and sellers, testing for adverse selection by sellers and for quality uncertainty among buyers with a sample consisting of all 1985 cars registered in the Swiss canton of Basle-City over the period 1985-1991. Our data support both adverse selection and buyer uncertainty suggesting that a lemons problem exists. Journal of Economic Literature Classification Numbers: C41, D82, L15, L62.
An Overview of Hadoop Scheduler Algorithms

Hadoop is a cloud computing open source system, used in large-scale data processing. It became the basic computing platforms for many internet companies. With Hadoop platform users can develop the cloud computing application and then submit the task to the platform. Hadoop has a strong fault tolerance, and can easily increase the number of cluster nodes, using linear expansion of the cluster size, so that clusters can process larger datasets. However Hadoop has some shortcomings, especially in the actual use of the process of exposure to the MapReduce scheduler, which calls for more researches on Hadoop scheduling algorithms.This survey provides an overview of the default Hadoop scheduler algorithms and the problem they have. It also compare between five Hadoop framework scheduling algorithms in term of the default scheduler algorithm to be enhanced, the proposed scheduler algorithm, type of cluster applied either heterogeneous or homogeneous, methodology, and clusters classification based on performance evaluation. Finally, a new algorithm based on capacity scheduling and use of perspective resource utilization to enhance Hadoop scheduling is proposed.
An adaptive spacetime discontinuous Galerkin method for cohesive models of elastodynamic fracture

This paper describes an adaptive numerical framework for cohesive fracture models based on a spacetime discontinuous Galerkin (SDG) method for elastodynamics with elementwise momentum balance. Discontinuous basis functions and jump conditions written with respect to target traction values simplify the implementation of cohesive traction–separation laws in the SDG framework; no special cohesive elements or other algorithmic devices are required. We use unstructured spacetime grids in a h‐adaptive implementation to adjust simultaneously the spatial and temporal resolutions. Two independent error indicators drive the adaptive refinement. One is a dissipation‐based indicator that controls the accuracy of the solution in the bulk material; the second ensures the accuracy of the discrete rendering of the cohesive law. Applications of the SDG cohesive model to elastodynamic fracture demonstrate the effectiveness of the proposed method and reveal a new solution feature: an unexpected quasi‐singular structure in the velocity response. Numerical examples demonstrate the use of adaptive analysis methods in resolving this structure, as well as its importance in reliable predictions of fracture kinetics. Copyright © 2009 John Wiley & Sons, Ltd.
Determination of anionic surfactants in real samples using a low-cost and high sensitive solid contact surfactant sensor with MWCNTs as the ion-to-electron transducer

Multi-walled carbon nanotubes (MWCNTs) were used as a conducting substrate for construction of an all solid contact anionic surfactant sensor, which used the 1,3-didecyl-2-methylimidazolium–tetraphenylborate (DMI–TPB) ion pair as the sensing element implemented in PVC membranes. Scanning electron microscopy (SEM) and electrochemical impedance spectroscopy (EIS) were used for morphological and electrochemical characterisation of the sensor. The investigated sensor showed a Nernstian response for lauryl sulfate (LS), 57.1 mV per decade of activity between 2.0 × 10−7 and 1.1 × 10−3 M; and a sub-Nernstian response for dodecylbenzenesulfonate (DBS), 51.1 mV per decade of activity between 3.6 × 10−7 and 6.6 × 10−4 M. For each ten-fold concentration change, the response time was 7 s (in the range from 1 × 10−6 M to 5 × 10−4 M). The detection limits for LS and DBS in water were 1.2 × 10−7 and 2.6 × 10−7 M, respectively. The sensor revealed a stable potentiometric response at pH 3–13 with a signal drift of 1.9 mV h−1 and exhibited outstanding selectivity performances for LS toward the majority of organic and inorganic anions that are most frequently employed in commercial formulations based on surfactants. The new sensor was applied for end-point location at potentiometric anionic surfactant titrations. Cetyltrimethylammonium bromide (CTAB) was used as a standard cationic titrant in all titrations. Ethoxylated non-ionic surfactants (EONSs) with a higher content of ethoxylated groups in the molecule and higher concentrations of EONSs reduce the magnitude of inflexion of titration curves and may cause a remarkable distortion during anionic surfactant (AS) determination. The sensor was tested by determination of ASs in commercial detergent products. The standard two-phase titration method and a conventional PVC liquid membrane surfactant sensor (PVCSS) showed satisfactory mutual agreement. The low-cost surfactant sensor developed had an operational lifetime of ca. six months.
Safety climate as a driver of change of positive safety culture in a Malaysian manufacturing plant

Background: It has been widely agreed that the positive changes in safety climate score over a period of time would further improve the underlying elements of organisational safety culture. Objective: Therefore, this study attempts to examine changes on employee perception on safety climate over a period of time. Design: A quantitative approach, using a longitudinal panel design was employed. This research design is appropriate when research questions and hypotheses are effected by how things vary over time. Method: Participants recruited for this study were production workers in one of A Malaysian electric and electronic manufacturing plant. Approval has been granted by the senior management that survey could be conducted among their production workers in two departments at two times period (Time 1 and Time 2). A safety climate survey that has been developed by Cheyne, A. , Cox,S. , Oliver, A. , Tomas, J.M. , (1998) was used as the instrument of this study. The response rate was 83% (N=330) in Time 1 and 98% (N=402) in Time 2. Data has been analyzed using a one-way between-groups multivariate analysis of variance (MANOVA). Results: There was a statistically significant difference in safety climate dimensions when the data from Time 1 were compared to the data in Time 2, with an overall Pillai‟s trace of . 602 (df = 696); partial eta squared = 0.602. The mean scores indicated that Time 2 reported slightly higher levels on all Safety Climate dimensions; i.e., Management Action (M= 33.40, SD = 2.65), Management Attitude (M= 25.31, SD = 2.32) and Safety Versus Production (M= 16.32, SD = 2.60) compared to Time 1. Conclusion: The significant changes on all safety climate dimensions in Time 2 suggest that there were changes in the underlying safety culture in this plant. An implication of this finding is the possibility that the changes in the safety climate suggest that employees viewed or perceived safety climate as important for them to better understand safety in the workplace. They believe that their workplace provides such a supportive safe working environment. This finding will be contributes to the Malaysian national agenda in moving towards a preventative culture by the year 2016. However, this study is limited to one single plant/industrial sector. Therefore, more research on safety climate and safety culture should be conducted in all industrial settings in Malaysia.
Radiopaque Material for 3D Printing Scaffolds

Authors are thankful for funds of Basque Government (GV/EJ) Department of Education (IT-927-16) and from MINECO (MAT 2016-78527-P). N. Sadaba is thankful for the predoctoral fellowship to POLYMAT Fundazioa- Basque Center for Macromolecular Design and Engineering.
Recent advances in plant derived vaccine antigens against human infectious diseases

The use of plants for the production of vaccine is one of the important applications in the modern medicine. There are many advantages of using plants as the production system compared to traditional mammalian system. Many plant species have been exploited to accumulate vaccine antigens for human infectious diseases, and vaccine candidates are approaching the market. The transgenic plants are considered as cheap source and found alternative approach to fermentation for large-scale production of vaccine antigens. The autotrophic growth of plants requires only soil minerals, water, nitrogen, sunlight energy for the synthesis of vaccine antigens. Therefore, vaccine production by using plants is one of the cheap and efficient technologies. This review covers the recent advances of plant derived vaccine antigens for the prevention of human infectious diseases and focuses on the current methods.