Miracle-dz/UniFAR-FTUs huggingface dataset:
Internal Migration and Firm Growth: Evidence from China.∗

This paper estimates the causal impact of rural migrant inflows on the urban economy in China. We identify exogenous shocks to migrant outflows caused by variation in international agricultural prices, which we combine with a gravity model to predict migrant inflows to urban centers. We combine a nationally representative household survey and a census of large firms to show that migration decreases labor costs, displaces urban workers, and increases total employment. Employment growth is concentrated in private, exporting and capital-intensive firms. We find that migration alleviates labor market distortions but widens total factor productivity gaps between firms. JEL codes: D24; J23; J61; O15.
Nativist Accounts of Verb Argument Acquisition Reevaluated

Various proposals have been made to account for the acquisition of Verb Argument Structure (VAS). These include Input-based accounts of various orientations like Bowerman (1973, 1982), Braine & Brooks (1995), Clark (1993), Ingram & Thompson (1996), Schlesinger (1988), and Tomasello (1992), on the one hand, and Nativist accounts like Grimshaw (1981, 1990) and Gleitman (1990), on the other hand. One of the most elaborate Nativist accounts is Pinker’s (1984, 1989) semantic bootstrapping account. According to Pinker, early acquisition of verbargument structure is regulated by a “canonical mapping” scheme; that is, a default mapping between thematic roles and syntactic functions such that most AGENT roles are initially assigned to the Subject, most THEME/PATIENT roles to the Direct Object, and most LOCATION/GOAL/SOURCE roles to the Oblique Object, as shown in Figure 1 below.
Public perceptions of CO 2 transportation in pipelines

This paper explores the response by members of the lay public to the prospect of an onshore CO2 pipeline through their locality as part of a proposed CCS development and presents results from deliberative Focus Groups held along a proposed pipeline route. Although there is a reasonable level of general knowledge about CO2 across the lay public, understanding of its specific properties is more limited. The main concerns expressed around pipelines focused on five areas: (i) safe operation of the pipeline; (ii) the risks to people, livestock and vegetation arising from the leakage of CO2 from the pipeline; (iii) the innovative and ‘first of its kind' nature of the pipeline and the consequent lack of operational CO2 pipelines in the UK to demonstrate the technology; (iv) impacts on coastal erosion at the landfall site; and (v) the potential disruption to local communities during pipeline construction. Participants expressed scepticism over the motivations of CO2 pipeline developers. Trust that the developer will minimise risk during the route selection and subsequent construction, operation and maintenance of the pipeline is key; building trust within the local community requires early engagement processes, tailored to deliver a variety of engagement and information approaches. & 2014 Published by Elsevier Ltd.
Characterization and Water Content Estimation Method of Living Plant Leaves Using Terahertz Waves

An increasing global aridification due to climate change has made the health monitoring of vegetation indispensable to maintaining the food supply chain. Cost-effective and smart irrigation systems are required not only to ensure the efficient distribution of water, but also to track the moisture of plant leaves, which is an important marker of the overall health of the plant. This paper presents a novel electromagnetic method to monitor the water content (WC) and characterisation in plant leaves using the absorption spectra of water molecules in the terahertz (THz) frequency for four consecutive days. We extracted the material properties of leaves of eight types of pot herbs from the scattering parameters, measured using a material characterisation kit in the frequency range of 0.75 to 1.1 THz. From the computed permittivity, it is deduced that the leaf specimens increasingly become transparent to the THz waves as they dry out with the passage of days. Moreover, the loss in weight and thickness of leaves were observed due to the natural evaporation of leaf moisture cells and change occurred in the morphology of fresh and water-stressed leaves. It is also illustrated that loss observed in WC on day 1 was in the range of 5% to 22%, and increased from 83.12% to 99.33% on day 4. Furthermore, we observed an exponential decaying trend in the peaks of the real part of the permittivity from day 1 to 4, which was reminiscent of the trend observed in the weight of all leaves. Thus, results in paper demonstrated that timely detection of water stress in leaves can help to take proactive action in relation to plants health monitoring, and for precision agriculture applications, which is of high importance to improve the overall productivity.
Titanium dioxide nanoparticles exhibit genotoxicity and impair DNA repair activity in A 549 cells

Titanium dioxide nanoparticles (TiO2-NPs) are produced in large quantities, raising concerns about their impact for human health. The aim of this study was to deeply characterize TiO2-NPs genotoxic potential to lung cells, and to link genotoxicity to physicochemical characteristics, e.g., size, specific surface area, crystalline phase. A549 cells were exposed to a panel of TiO2-NPs with diameters ranging from 12 to 140 nm, either anatase or rutile. A set of complementary techniques (comet and micronucleus assays, gamma-H2AX immunostaining, 8-oxoGuanine analysis, H2-DCFDA, glutathione content, antioxidant enzymes activities) allowed us to demonstrate that small and spherical TiO2-NPs, both anatase and rutile, induce single-strand breaks and oxidative lesions to DNA, together with a general oxidative stress. Additionally we show that these NPs impair cell ability to repair DNA, by inactivation of both NER and BER pathways. This study thus confirms the genotoxic potential of TiO2-NPs, which may preclude their mutagenicity and carcinogenicity.
A Method for Measuring OSS Projects ' Activity based on Cluster Analysis of Email Threads

In open-source software (OSS) development, activity is one of important factors which affect quality of software products. Various development tools’ logs have been used to analyze certain OSS projects because of the lack of development documents in OSS projects. However, it is difficult to analyze OSS projects in common since tools used in software development vary from project to project. In this paper, we focus on mailing lists (MLs) that are used in most OSS projects, and propose a method for activity prediction based on in co-occurrence of developers in MLs. From the result of our experiment, we confirmed that the co-occurrence of developers affected the activity in OSS projects.
patients Effects of preoperative education on spinal surgery

Background: Preoperative patient education (PE) has been used by many institutions to deal with patient anxiety, pain control, and overall satisfaction. Although the literature suggests PE’s effectiveness in joint reconstruction, data are missing in spinal surgery. Methods: We retrospectively analyzed patients having elective spinal surgery who underwent PE (spine pre-care class) from October 2009 to March 2010. Of the 155 patients surveyed, 77 (49.7%) attended the class whereas 78 (50.3%) did not. Results: Of the participants in the pre-care class, 96% were satisfied with their pain management versus 83% in the control group (P .02). There was also a trend for better overall satisfaction in the pre-care class group (91% vs 85%; P .05, multiple regression analysis). Elderly women tend to be less satisfied with pain management and overall treatment. Conclusions: Implementation of PE has had a positive impact on patient satisfaction, especially in terms of pain management. © 2011 SAS The International Society for the Advancement of Spine Surgery. Published by Elsevier Inc. All rights reserved.
Chapter 8 Regional Modeling of Aerosol Chemical Composition at the Puy de D ô me ( France )

Organic aerosols (OA) represent a large fraction (from 20 to 90 %) of the submicron particulate mass and it is mainly composed of secondary organic aerosols (SOA). Despite the ubiquity of OA in the atmosphere, there are still large uncertainties in understanding the formation pathways of SOA. Consequently, OA sources and physico-chemical transformations during their transport are poorly represented in chemistry-transport models and large gaps still remain between simulated and measured OA concentrations. The ability of the WRF-CHEM model to reproduce the organic aerosol mass concentration originated from anthropogenic or/and biogenic emissions is evaluated. From this perspective, simulations for two contrasted air masses are performed with WFR-Chem using the Volatility Basis Set (VBS) approach dedicated to the formation of SOA. Simulations results are compared to aerosol measurements performed at the puy de Dôme station with a compact Time-of-Flight Aerosol Mass Spectrometer for two episodes in autumn 2008 and in summer 2010. Moreover, measurements of both anthropogenic and biogenic VOCs are used to access the capacity of the WRF-Chem model to correctly simulate the concentrations levels of the gas precursors of the SOA. C. Barbet L. Deguillaume N. Chaumerliac (&) E. Freney A. Colomb K. Sellegri Laboratoire de Météorologie Physique (LaMP), CNRS, Université Clermont Auvergne, Université Blaise Pascal, 4 av. Blaise Pascal TSA, 60026 CS 60026 63178 Aubière Cedex, France e-mail: n.chaumerliac@opgc.univ-bpclermont.fr M. Leriche A. Berger Laboratoire d’Aérologie (LA), CNRS, Université de Toulouse, Université Paul Sabatier, 4 av. Edouard Belin, 31400 Toulouse, France L. Patryl P. Armand CEA, DAM, DIF, F-91297 Arpajon, France © Springer International Publishing Switzerland 2016 D.G. Steyn and N. Chaumerliac (eds.), Air Pollution Modeling and its Application XXIV, Springer Proceedings in Complexity, DOI 10.1007/978-3-319-24478-5_8 49
The Impact of Insider Ownership on Success Performance of University Spin-Offs . The Pivotal Role of Managerial Ownership

The paper aims to explore the effect of insider ownership’ dynamics in University Spin-Offs (USOs), in order to compute the impact generated by such corporate governance mechanism to the success performance of the firm. In detail, it was hypothesized that managerial ownership influences, both in negative and positive, the firm performance, measured in term of profitably by the ROS index. Based on a panel sample of 692 Italian USOs, the results suggest that USOs with a large presence of shareholder managers can achieve better performance, highlighting the pivotal effect of insiders due to the better control and involvement in the entrepreneurial process. The paper offers some contributions to the corporate governance and university entrepreneurship literature, highlighting the pivotal effects of control by the managerial class on the performance degree of the USOs.
The Preferences of CoCo Bond Buyers and Sellers : A Logistic Regression Analysis March 2019

This paper estimates the preference scores of CoCo bond buyers and sellers by running logistic regressions taking into account both bond and issuing bank’s characteristics, and also considers the role of country−specific CoCo bond market competitiveness. Buyers are found to be characterised by stronger preference responses to CoCo bond coupons and credit ratings, while sellers are more sensitive to CoCo bond issue size and financial characteristics including return on common equity, price−to−book ratio and total regulatory capital to risk−weighted asset ratio. Further, sizeable responses to CoCo bond and issuing bank’s characteristics are found in most European countries, Brazil, Mexico and China, the strongest responses being estimated in the case of the UK and China. JEL Classification: C25, C39, F39, G11, G21, G24, G28
MUSIC/SPEECH CLASSIFICATION AND DETECTION MIREX SUBMISSION

This submission to the MIREX 2015 Music/Speech Classification and Detection task employs two artificial neural networks to independently detect the presence of music and the presence of speech in a recorded audio signal. They resulted from a 2012 DAFx paper [3], using what were state-of-the-art learning methods at that time. The networks were trained on 15 hours of Swiss radio broadcasts, and achieved accuracies of about 98% on radio recordings. Given their specific focus, they will not work well with signals that are widely different from broadcast radio, but can serve as a baseline to compare against.
Noncontact video-based eye-gaze detection method allowing large head displacements

The noncontact video-based eye-gaze detection method which allows large head displacements was developed. The eye was tracked by a two-dimensional camera rotation system. The distance between the camera rotation center and the eye was measured by an ultrasonic distance meter. A theory using trigonometry was proposed to determine the pupil center position in three-dimensional space. At this time, the displacements of the pupil from the camera frame center were considered to precisely determine the coordinates of the eye-gaze point on a computer display. The angle of eye's line of sight against the camera axis was determined from the relative positions of the centers of the feature points in the eye image, i.e., the glint (corneal reflection) and the pupil. The eye-gaze points while a subject fixated visual targets presented on the display were measured at video rate using custom-made image processors. Under the small head-movement condition and under the large head-displacements condition, the results showed almost no distortion between the target and eye-gaze positions. This indicated that the theory is adequate and the system worked well. The average error was approximately 0.7 deg in visual angle.
INTENSITY OF TOURISM IN THE MUNICIPALITIES OF TATRY TOURISM REGION AS A BASIC FACTOR FOR RECREATIONAL URBANISATION

The aim of the paper is to identify particular regions in relation to the intensity of tourism as well as to point out the regions with potential for further development of recreational urbanisation in the Tatry tourism region. Just the mentioned region is the exceptional one, especially due to its natural features, which consequently indirectly affect not only the development of towns, but municipalities in their hinterland, too. This constantly increasing level of recreational urbanization of these municipalities is the impulse for further development or rural area. Taking into account that the impacts of recreational suburbanization start to show in the mentioned rural regions; that are directly linked to relatively developed tourism destinations; it is appropriate to localize and analyze them. We realized a survey using the method of spatial autocorrelation that defines the dependence of incidence of selected phenomenon in the area on its incidence in the hinterland. This spatial autocorrelation was quantified using the Moran’s index, while the LISA method was applied for the purposes of data evaluation. Within the catchment area were identified various clusters of positive and negative autocorrelation.
Technical Report : Feedback-Based Generation of Hardware Characteristics

In large complex server-like computer systems it is difficult to characterise hardware usage in early stages of system development. Many times the applications running on the platform are not ready at the time of platform deployment leading to postponed metrics measurement. In our study we seek answers to the questions: (1) Can we use a feedbackbased control system to create a characteristics model of a real production system? (2) Can such a model be sufficiently accurate to detect characteristics changes instead of executing the production application? The model we have created runs a signalling application, similar to the production application, together with a PIDregulator generating L1 and L2 cache misses to the same extent as the production system. Our measurements indicate that we have managed to mimic a similar environment regarding cache characteristics. Additionally we have applied the model on a software update for a production system and detected characteristics changes using the model. This has later been verified on the complete production system, which in this study is a large scale telecommunication system with a substantial market share.
Research on Neural Network Based Prediction Algorithm of Time Delay

Stability is hard to ensure due to time delay in network-based control systems. Generally the accurate value of time delay is needed. The change is regular or not according to the type of network. Aiming at different situations of the change, linear neural network and RBF (Radial Basis Function) neural network are introduced to make time delay prediction. The terms of time delay prediction are obtained by comparing the results of the simulation.
Biodiesel Synthesis from Modern Energy Fuel Crop Green Algae Chlorococcum humicola and Its Chemical Parameters

The present paper study is on fresh water microalgae from region of Ahmednagar district in Maharashtra. Fresh water microalgae are modern biomass for the production of biodiesel fuel due its faster growth, highest biomass productivity and high lipid content with various conversion methods into biofuel. The biodiesel has very mimic property like petroleum diesel. The study emphasis on fresh water algae strain in the class of Chlorophyceae and Chlorococcum humicola species isolated and convert it into biodiesel by base catalysed transesterification method. The chemical properties of product analyze by standard method Infrared spectroscopy and Gas Chromatography Mass Spectroscopy.
Entrepreneurial Intentions: a Cross-Cultural Study of University Students in Three Countries

The objective of this empirical study was to compare the entrepreneurial intentions, interests and prevalence of students coming from three different countries. We likewise attempted to see how the students’ values, attitudes and behaviour, that is their entrepreneurial potential, could predispose them to founding an enterprise, creating their own job or having the intention to do so, either during their studies or afterward. The study is based on a model that sees entrepreneurship as resulting from an entrepreneur's decision and the various influences bearing on this decision as stemming from a few crucial aspects, namely: desirability, feasibility and creation. A questionnaire was designed to collect both data for the measurement of these major variables and other information about entrepreneurial education in three universities. The data were collected during the Winter semester of 2006 from students in business administration and engineering in each university. A total of more than 600 students responded to the questionnaire. Although all the analyses and interpretations are not yet finished, it would seem that several cultural and socio-economic factors influence the differences in the entrepreneurial intentions of the students from the different countries, universities and fields of study. Based on the conclusions of this study as well as other similar and complementary studies, several recommendations and research initiatives are suggested.
Generalization of the Concept of the Topological Derivative for a Kinking Crack Argatov

Arising in fracture mechanics and engineering, a model scal ar-v ued problem of kinking of a crack is investigated within the topological context. The objective function r epresenting the potential energy is expanded with respect to the infinitesimal hole (micro-crack) at t he tip of the macro-crack. Based on the refined method of matched asymptotic expansions, the asym ptotic odels are derived in the terms of stress intensity factors. In particular, this g ives the so-called topological derivatives of the first-order, which were out of the case of the smooth conception of topological d eriv tives.
Effect of substitutional As impurity on electrical and optical properties of bSi 3 N 4 structure

b-Si3N4 is used as the gate dielectric for surface passivation in GaN-based, high-electron mobility transistors(HEMTs). In this study, the electrical and optical characteristics of the hexagonal b-Si3N4 crystal structure were calculated using density functional theory (DFT) and local-density approximation (LDA). Calculations of the electronic band structure and the density of states (DOS) were made for the pure b-Si3N4 crystal structure and the b-Si3N4 crystal doped with an arsenic (As) impurity atom. In addition, the optical properties such as the static dielectric constant, refractive index, extinction coefficient, absorption coefficient and reflection coefficient were examined depending on the photon energy. As a result of these calculations, it was observed that the As impurity atom drastically changed the electrical and optical properties of the pure b-Si3N4 crystalline structure, and improvements are suggested for potential further studies. ã 2016 Elsevier Ltd. All rights reserved.
Off-policy experience retention for deep actor-critic learning

When a limited number of experiences is kept in memory to train a reinforcement learning agent, the criterion that determines which experiences are retained can have a strong impact on the learning performance. In this paper, we argue that for actor critic learning in domains with significant momentum, it is important to retain experiences with off-policy actions when the amount of exploration is reduced over time. This claim is supported by simulation experiments with a pendulum swing-up problem and a magnetic manipulation task. Additionally, we compare our strategy to database overwriting policies based on obtaining experiences spread out over the state-action space, and also to using the temporal difference error as a proxy for the value of experiences.
An Intelligent Scheduling Optimization of Job-shop with Flexible P rocess Routines

Based on genetic algorithms, intelligent scheduli ng optimization of job-shop with flexible process routines was studied. A new s cheduling algorithm was proposed, which combines the genetic algorithms with dis patching rules. Because of the simultaneous considerations of process planning a nd production scheduling, the disadvantages of the separation from each other we re avoided. Finally, an example is presented to illustrate the feasibility of th e algorithm and the results are very good.
The Effect of Motivational and Cognitive Imagery on Flow and Shooting performance

The aim of this study was to compare the effects of motivational and cognitive imagery on Flow and 10m Air rifle shooting performance.15semi-professional men shooters were classified on a voluntary basis and divided into three groups of five people: 1) physical exercise, 2) physical exercise with cognitive imagery, 3) physical exercise with motivational imagery. Each group participated in 18 exercise sessions. Before and after intervention, participants did the shooting test and then completed the Flow state scale-2. Data analysis was done by one-way ANOVA. The results showed that the flow and performance of physical exercise group had significantly higher improvements with motivational imagery in comparison to the other groups. Based on the results, it seems thatthe use of motivational imagery by coaches and sport psychologists in comparison with cognitive imagery will be leads to more effective increase in the Flow rate and performance of 10m Air rifle shooting.