Miracle-dz/UniFAR-FTUs huggingface dataset:
Numerical Solution to Singular Ordinary Differential Equations of Lane-Emden type by Legendre collocation method

The purpose of this paper is to propose an efficient numerical method for solving singular ordinary differential equations of Lane-Emden type. The singularity at initial point of the problem leads to failure of many methods such as Euler method, Runge-Kutta method, etc. The proposed method is based on shifted Legendre-Gauss-Radau collocation points and the corresponding interpolation. The first step is to convert second-order ordinary differential equation to an equivalent first order ordinary differential system, and the shifted Legendre-Gauss-Radau points are utilized to collocate the first order ordinary differential system except the initial point. Then computation of the nonlinear initial value problem is reduced to a nonlinear algebraic system. Since evaluation includes no singular point, the difficulty of singularity is overcome. Due to the stability of Gauss-type interpolation, the proposed method possesses high accuracy which is observed by several numerical tests. Also, the method can be done by proceeding in time step by step. Illustrative examples have been discussed to demonstrate the validity and applicability of the technique, and the results have been compared with the exact solution. Introduction Recently, the studies of singular initial value problems in ordinary differential equations have attracted the attention of mathematicians and astrophysics. One of the most important equations is the Lane-Emden type equation, which describes the equilibrium density distribution in selfgravitating sphere of polytrophic isothermal gas, and has a singularity at the origin and is of fundamental importance in the field of stellar structure, radiative cooling and modeling of clusters of galaxies [1-3]. The general form of Lane-Emden equations is 0 , 0 ), ( )) ( , ( ) ( ' ) ( ' '       m T t t g t y t f t y t m t y (1) With initial condition . ) 0 ( ' , ) 0 ( b y a y   (2) The solution of the Lane-Emden equations is numerically challenging due to the singularity behavior at the origin and nonlinearities. There are a lot of literatures for approximate solutions to (1-2), which include Adomian decomposition method [4-6], homotopy perturbation method [7-8], variational iteration method [9-10], differential transformation method [11-12], Legendre wavelets method [13-15], Legendre tau method [16], Sinc-collocation method [17], Chebyshev spectral method [18], nonclassical Radau collocation method [19], etc. For solving (1-2) numerically, we first convert the second-order ordinary differential equation to an equivalent first order ordinary differential system. Let . Then from (1-2) we obtain Proceedings of the 3rd International Conference on Material Engineering and Application (ICMEA 2016) Copyright © 2016, the Authors. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). 496 Advances in Engineering Research, volume 103
Di usion coe"cient of a charged porous sphere

The di usion coe"cient of a charged porous sphere is calculated numerically. The analysis is carried out under the Debye–Huckel approximation and the condition of equal ion di usivity, yet can be applied to the case where the 8ow modi9cation by the electrical body force is signi9cant. As expected, the distortion of the charge cloud retards the movement of the particle. Our numerical results agree favorably with those based on a perturbation analysis for the case of very low electrical potential. When the particle charge is high enough, the electrical body force becomes increasingly strong to impede the 8uid 8ow, thereby leading to a smaller resistance force compared to the perturbation result. 2003 Elsevier Ltd. All rights reserved.
A versatile and low-cost 3D acquisition and processing pipeline for collecting mass of archaeological findings on the field

In recent years, advances in the fields of photogrammetry and computer vision have produced several solutions for generating 3D reconstruction starting from simple images. Even if the potentialities of the image-based 3D reconstruction approach are nowadays very well-known in terms of reliability, accuracy and flexibility, there is still a lack of low-cost, open-source and automated solutions for collecting mass of archaeological findings, specially if one consider the real (and non theoretical) contextual aspects of a digitization campaign on the field (number of objects to acquire, available time, lighting conditions, equipment transport, budget, etc.) as well as the accuracy requirements for an in-depth shape analysis and classification purpose. In this paper we present a prototype system (integrating hardware and software) for the 3D acquisition, geometric reconstruction, documentation and archiving of large collections of archaeological findings. All the aspects of our approach are based on high-end image-based modeling techniques and designed basing on an accurate analysis of the typical field conditions of an archaeological campaign, as well as on the specific requirements of archaeological finding documentation and analysis. This paper presents all the aspects integrated into the prototype:-a hardware development of a transportable photobooth for the automated image acquisition consisting of a turntable and three DSLR controlled by a microcontroller ;-an automatic image processing pipeline (based on Apero/Micmac) including mask generation, tie-point extraction, bundle adjustment, multi-view stereo correlation, point cloud generation, surface reconstruction ;-a versatile (off-line/on-line) portable database for associating descriptive attributes (archaeological description) to the 3D digitizations on site ;-a platform for data-gathering, archiving and sharing collections of 3D digitizations on the Web. The presentation and the assessment of this prototype is based on an interdisciplinary experience carried out on the study of the Tholos in Delphi within the framework of the CNRS's Eloquentia project and the EFA's archaeological program.
Technology Management Competencies and Job Satisfaction of Pakistani University Librarians: An Empirical Assessment of Relationship

This research study examined the relationship of TMC with JS of Pakistani university librarians. A randomly selected sample of 225 Pakistani university librarians was used to test the relationship of four dimensions of TMC with general JS. Findings indicated a positive significant relationship of all variables of TMC with JS. Results further showed information assurance and security skills as the strongest predictor of JS while library content management system skills as the weakest contributor of JS. These results are consistent with the previous findings. TMC plays a significant role towards librarians' job performance and may be used to enhance their JS. This research broadens the scope of these two constructs towards librarianship.
The soil hydrogel improved photosynthetic performance of beech seedlings treated under drought

The effect of soil amendment with the STOCKOSORB ®500 MICRO hydrophilic polymer on the photosynthetic traits in beech seedlings (Fagus sylvatica L.) during 50 days of dehydration was investigated. Dehydration was detected through osmotic potential (Ψ s ) in the assimilatory organs of beech seedlings. The addition of Stocko sorb positively affected the CO 2 assimilation rate (A) and instantaneous water use efficiency (A/T), for severely drought-treated seedlings. In comparison with irrigated plants, the values of A of non-irrigated plants with Stockoa sorb substrate decreased by 50%, and in non-irrigated plants with common substrate by 88%. The fast kinetics of chlorophyll a fluorescence indicated chronic photoinhibition under drought treatment without Stockosorb, while no significant changes in maximal quantum efficiency (F v /F m ) were recorded under drought treatment with Stockosorb. The actual quantum efficiency of PSII (Φ PSII ) markedly decreased in both treatments – with and without Stockosorb, though significant differences were found only between control treatments and drought treatment without Stockosorb. Moreover, the thermal energy dissipation (NPQ) was strongly limited under severe drought stress. The capacity to down regulate PSII functionality through non-photochemical quenching was maintained un der drought treatment with Stockosorb. The results indicate that an amendment with soil conditioner significantly improved the photosynthetic performance of drought-stressed beech seedlings.
An Isolated Microlens Observed from K2, Spitzer, and Earth

We present the result of microlensing event MOA-2016-BLG-290, which received observations from the two-wheel Kepler (K2), Spitzer, as well as ground-based observatories. A joint analysis of data from K2 and the ground leads to two degenerate solutions of the lens mass and distance. This degeneracy is effectively broken once the (partial) Spitzer light curve is included. Altogether, the lens is found to be an extremely low-mass star or brown dwarf ( ) located in the Galactic bulge ( kpc). MOA-2016-BLG-290 is the first microlensing event for which we have signals from three well-separated (∼1 au) locations. It demonstrates the power of two-satellite microlensing experiment in reducing the ambiguity of lens properties, as pointed out independently by S. Refsdal and A. Gould several decades ago.
Traces of Ideology in Translating the Qurān into English: A Critical Discourse Analysis of Six Cases across Twenty Versions

This research article aims to explore and critically examine six cases in which traces of ideology are explicitly or implicitly involved in the context of translating the Qurān into English. It attempts to answer questions pertinent to the nature and effect of traces of ideology on translating the Qurān in English and the way they shape the Qurānic message. The article employs a critical qualitative framework that allows for the researcher’s subjective interpretations of relevant texts. Critical Discourse Analysis (CDA) is used for the analysis of data as this approach provides a convenient mode of critical thinking to carry out the present thesis. In this article, six texts across twenty versions of the Qurān in English are investigated in terms of their salient features that reflect peculiar ideological readings. Major findings indicate that complex traces of ideology may contribute to a particular choice in translating the salient features in the texts investigated. The case of Helminski, for instance, shows how cultural and linguistic backgrounds, Sufi doctrines, and feminist agendas all combine to produce a radical reading of the Qurān in English where she consistently refers to Allah (SWT) with the combination he/she . Sufi ideologies are crucial in translating some pronouns with controversial references in some Qurānic verses. As well, gnostic interpretations have their own legacy such as the alteration in Khalifa’s ‘authorized version’. Plus, Neo-Mutazilite and Qurānist traces of ideology significantly contribute to produce alien readings of some Qurānic texts as illustrated in cases (5) and (6) in this research article.
Oil Price Shocks and Japanese Macroeconomic Developments

Using quarterly data for Japan over the period 1976:I–2008:II within a modelling strategy incorporating information about structural breaks in the variables included to represent the macroeconomic transmission channels, this paper shows that oil price shocks led to a fall in industrial production and higher inflation. However, these effects are only evident in the late 1970s and early 1980s. In more recent episodes of sharp oil price increases, inflationary effects are barely visible, and there is very limited evidence of oil‐induced industrial slowdowns.
Risk and Fairness Preferences in Community Supported Agriculture ∗

We aim to elicit consumers’ preferences for attributes of consumer supported agriculture (CSA) contracts and their determinants, especially risk and fairness preferences. We combine two incentivized field experiments with a stated choice survey. Risk preferences are structurally-elicited from several binary lottery choices and fairness preferences from a modified dictator game. We use a stated choice survey to determine consumers’ preferences for three attributes of CSA contracts: duration, loss in basket size due to production risks and price change. We face-to-face interviewed 162 CSA members. In line with fairness theory, we find consumers are averse to advantageous inequality (AI) toward CSA and non CSA farmers and averse to disadvantageous inequality (DI) toward non CSA farmers; but, we also find evidence of DI seeking toward CSA farmers. In the stated choice survey, we find consumers prefer longer contracts and that it is risk-driven rather than fairness-driven. As expected, consumers exhibit a dislike for losses and for share price increases. Wa find a high willingness to pay to avoid losses. High AI averse consumers tend to be less sensitive to losses. High DI seeking consumers tend to be less sensitive to losses and price increase.
A role of phonon-assisted tunnelling in electrical conductivity of carbon nanotube networks

High-eld transport properties of single-wall carbon nanotubes (SWCNT) are analysed on the basis of phonon-assisted tunnelling (PhAT) model. This model enables one to explain not only the temperature-dependent currentnvoltage characteristics of SWCNT, but also the crossover from a semiconducting-like temperature dependence conductivity to a metallic-like one as temperature is increased.
A New Minimax Probabilistic Approach and ItsApplication in Recognition the Purity of Hybrid Seeds

Minimax probability machine (MPM) has been recently proposed and shown its advantage in pattern recognition. In this paper, we present a new minimax probabilistic approach (MPA),which can provide an explicit lower bound on prediction accuracy. Applying the Chebyshev-Cantelli inequality, the MPA is posed as a second order cone program formulation and solved effectively. Following that, this method is exploited directly to recognize the purity of hybrid seeds using near-infrared spectroscopic data. Experimental results in different spectral regions show that the proposed MPA is competitive with the existing minimax probability machine and support vector machine in generalization, while requires less computational time than them. These results illustrate the feasibility and effectiveness of the proposed approach in recognition the purity of hybrid seeds.
Modelling and Prognosis of the Export of the Republic of Serbia by Using Seasonal Holt-Winters and Arima Method

Abstract Low labour costs as one of the key sources of export stimulation, the competitive advantage of domestic agricultural production and bilateral agreements with partner countries - all promote export as a potentially significant factor of encouragement of economic development of the Republic of Serbia.Taking into account this fact, on the one hand, and balance of payments problems that Serbia has been facing over the years, on the other hand, the subject of this paper is an analysis of trends in the Republic of Serbia export and explanation of variations in the export trends during the period from 2004 to 2014. The aim of the paper is to explore export trends forecast from January to December 2015.The analysis uses Holt-Winters and ARIMA methods for analyszing time series.The paper provides insight into the export trend forecasts for the period of 12 months, and thus confirms the possibility of practical usage of the time series analysis methods in forecasting macroeconomic variables such as export. The used methods identify increase of export during the summer and its decrease after October 2015. The paper establishes the existence of a high degree of congruence between forecasts obtained by using two methods, which confirm a high quality of the elaborated methods in the analysis of exports.
Applications of Nanoparticles in Magnetic Resonance Imaging: A Comprehensive Review

Technology advancements in synthesis and modification of nanoscale materials have advanced the development of different medical applications. Nanoparticles (NPs) have demonstrated promising potentials in diagnostic medicine especially for magnetic resonance imaging (MRI). Iron oxide, gold, and gadolinium NPs have been used in preclinical and clinical studies as contrast enhancing agents. Studies are ongoing to find the optimum parameters of these NPs as contrast agents (CAs) of MRI. This study aims to review the recent applications of iron oxide, gold, and gadolinium NPs as contrast enhancing agents in MRI for diagnosis of different disorders. The databases of PubMed (1980-2016), Web of Science (1980-2016), Scopus (1980-2016), and Google Scholar (1980-2016) were explored using the search terms “Nanoparticles,” “Contrast agents,” “Magnetic Resonance Imaging” and “disease. ” The obtained results were screened for the title and abstract and comprehensively reviewed. MRI CAs are divided into T1 and T2 CAs, respectively, used for T1 and T2 weighted protocols in MRI. Iron oxide, gadolinium, and gold NPs are the most common CAs used in MRI. High magnetization values, small size, narrow particle size distribution are the main features of NPs as CAs in MRI. Gadolinium is the most common T1 CAs used in MRI. However, it is associated with toxicity which is a serious concern in patients with renal failure. Iron oxide NPs can be used for these patients. However, the main limitation of iron oxide NPs is limited relaxivity. The relaxivity strongly depends on the size of NP. Paramagnetic NPs serve as T1 CAs and super paramagnetic NPs as T2 CAs. Modulating the size of NPs is the main parameter to adjust different NPs for different MRI protocols. Recent years to overcome the problem of gadolinium and iron oxide NPs, different paramagnetic and super paramagnetic NPs are developed.
Design of low cost and energy efficient sensor networks with ISM band FSK transceiver

Safe wireless link and long battery life are indispensable feature for a portable and outdoor used device with build-in sensors. For this purpose, duty cycling, ultra-low power electronics design, dynamic power management, wireless network architecture and medium access control concepts in the design are explained in detailed. In this work, an ultra-low power wireless sensor network is designed with 4cmx4cm size and light weight nodes sending once every three minutes 115.2 kbps 5 byte package that have up to 131.25 year battery life time in theory with 3V (2x1.5V) 1000mAh battery. 868 and 915 MHz programmable 115.2 kbps ISM band FSK RF transceiver with a low power wakeup scheme is utilized for low cost unlicensed-used wireless sensor networks designed with Back Inverted F Antennas with 100m communication range for outdoor applications and 25m for indoor applications. Sensor node requires 0.5 uA, 2.5 mA, 0.8 uA, 14.6 mA and 25mA during sleep, measurement, sniff, receive and transmit mode respectively @ 868 MHz with 3V battery. The sensors has temperature compensation feature with -40-85 °C working range.
Dual Economy Interlinkage in a Monetary Framework: A Post WTO Perspective

The objective of the paper is to examine macroeconomic developments of labour surplus economy in terms of a dual economy framework. We attempt to build up a two sector, dependent economy model, which is open to trade flows. We focus on specific forms of openness that a labour surplus economy is subject to, particularly in the transition period. The industrial sector is a non-traded sector which uses an imported intermediate input, while the agricultural sector is a traded sector. An important aspect of the paper is the role of the stock of primary commodity as assets in a financial repressed economy and we study effect of forward looking food price expectations. The different comparative static exercises attempted in this paper clearly demonstrate that the results of the conventional closed economy models of a labour surplus economy can be seriously altered in an open economy setting. The model clearly suggests that short run and long run multiplier effects of shocks, either policy induced or otherwise, are significantly different and hence, short run effects cannot be a very reliable guide to the design of macroeconomic policy. The results obtained in this paper can provide important insights into the nature of industry agriculture interlinkage in transitional, emerging market economics, particularly in the post WTO framework.
Prenatal maternal psychic development and fetal behavior: an interacting reality

Psychological development during pregnancy and along transition to parenthood stood under scientific attention during the second half of the twentieth century. Research yielded data suggesting that human adaptation to the reproductive steps of the life cycle is very important in our quest for quality of life. Namely, studies of maternal prenatal emotions revealed the existence of a relationship between, on one side, pregnant women psychological functioning and, on another side, obstetric health, labor and delivery vicissitudes, newborn’s health and behavior, etc. Recently studies about prenatal stress showed how important intrauterine experiences can be for babies’ development. Interventions dedicated to prevent negative consequences induced by maternal stress should be organized as early as possible in human life. In this sense, it is argued that positive aspects reinforcement, both in the mother and in the baby as well as in family functioning, should be seen as the major focus in relational strategies assumed by professionals operating in this field.
The Investment Opportunity Set and Earnings Management: Evidence from the Role of Controlling Shareholders

Manuscript Type: Empirical Research Question/Issue: We examine the incentive and entrenchment effects of controlling shareholders on the association between the investment opportunity set and earnings management in Taiwan. Research Findings/Results: We find that firms with more investment opportunities are more likely to engage in earnings management. We also find incentive effects of controlling shareholders on firm’s financial reporting behavior in that cash flow rights are negatively associated with absolute abnormal accruals under a growth opportunity setting. Our results further indicate that high-growth firms with a high deviation between cash flow rights and control rights are more likely to engage in earnings management. Further analyses indicate that as the controlling shareholders have effective control of a firm, the effect of controlling shareholder deviation between control and cash flow rights on earnings management becomes stronger. Theoretical/Academic Implications: This study extends existing agency and contracting literature on the incentive and entrenchment effects of controlling shareholders in East Asia on firm value to the quality of financial reporting, which has been a consistent concern of regulators, practitioners, and academia. Our findings provide empirical evidence on the impact of controlling shareholders on the quality of financial reporting in a growth opportunity setting. Practitioner/Policy Implications: Our findings suggest that the institutional environment, such as the growth opportunity setting in Taiwan, matters to the firm’s financial reporting behavior in an emerging market, where a corporate governance code has been enacted to protect minority shareholders. This study offers insights to policy makers interested in enhancing the mechanism of corporate governance in emerging markets, which have more potential conflict of interests between controlling shareholders and minority shareholders.