Miracle-dz/UniFAR-FTUs huggingface dataset:
Disentangling the Puzzle of FDI Horizontal Spillover Effects : Theory and Evidence

It has been observed by numerous empirical studies that for most of the cases horizontal spillover effects are either negative or insignificant, whereas positive productivity spillovers from FDI are more likely to take place through vertical linkages. This paper is an attempt to present one reasonable explanation for these two opposite impacts from a new point of view – the existence of learning costs. Besides this, we take one step further getting to the bottom of the true effects of horizontal linkages on productivity development of local firms by distinguishing between the level and rate effects generated by horizontal spillovers. Starting from a theoretical framework, we find that horizontal spillovers may use learning investment as a vehicle to exert negative effect, meanwhile vertical spillovers generate positive impact on domestic firms’ productivity. What’s more, except for the detrimental productivity level effect, a hidden positive productivity growth rate effect is also discovered through horizontal linkages, implying that the negative horizontal spillover effect is only a temporary phenomenon. To further prove the plausibility of our analysis, an empirical estimation with China’s industry-level penal data over a period 2003-2012 is included in this paper. Estimation results give suggestive evidence for the vital insights obtained in theoretical study. Keyword horizontal FDI、vertical FDI、learning cost、productivity growth
Performance Analysis of Controlling Switch Implemented using Thermal Actuation

Mechanical movement of the device can be achieved by using thermal expansion of material. The electrical signal can be used to perform this mechanical displacement. The mechanical movement in the device is used as a switch for controlling the device mechanism. The Thermal actuators can be incorporated to achieve this displacement by the application of electrical voltage signal to the material. The Si material is selected for the beam structure formation due its very high thermal conductivity and high elastic property. Thermal actuators are having vast applications in designing various MEMS devices. Thermal actuators are used in micro legs, micro grippers, micro positioning and switching activities etc. This MEMS thermo-actuator can also be used in various applications such as data storage, electro-optical communication, measurements of various properties of materials and micro-tools. In the present approach 3D design of thermal actuator with cascaded beams structure has been carried out using Solid Works tool and its comprehensive performance analysis is done using COMSOL4.3. The thermo-electromechanical analysis of the device is performed with the application of electrical voltage signal. The analysis in terms of displacement, temperature variation, stress and current density has been done. It has been found that the present device can be used in the applications requiring large displacement forces. Keywordsthermal actuators, micro-tools, COMSOL4.3, thermoelectromechanical.
Mixed Audio Signal Separation Using Independent Component Analysis

Blind Source Separation (BSS) is a statistical approach to separating individual signals from an observed mixture of a group of signals, which relies on little assumptions of the signals and the mixing processes or media. This paper covers the general overview of Independent Component Analysis (ICA), an algorithm for achieving BSS techniques with application to real life activities. The ICA algorithm developed using MATLAB 2012, was used to separate mixture of audio signals recorded and it proved effective.
Big Data Privacy by Design Computation Platform Extended Abstract

We live in the age of Big Data. Personal user data, in particular, are necessary for the operation and improvement of everyday Internet services like Google, Facebook,WhatsApp, Spotify, etc. Many times, the capture and use of personal data are not made explicit to the users, but they are central to the business model of the companies. However, the right to privacy of each individual has to be respected. How can these two conflicting needs be reconciled, i.e. how can we build useful Big Data systems that are respectful regarding user privacy? The goal of this work is to design and implement a “proof-of-concept” of a platform for performing privacypreserving computations, providing an easy-to-use method to implement privacy-preserving techniques. This system could be used to encapsulate algorithms that can, for example, monitor the vital signs of patients (without exposing the data to other people), produce real-time recommendations based on location (without disclosing the location to others), etc. This proof-of-concept implemented privacy-preserving versions ofMachine Learning algorithms and compared them against a baseline reference, allowing a better understanding of the trade-offs of using privacy-preserving technology.
Projectable multivariate refinable functions and biorthogonal wavelets ✩

A biorthogonal wavelet is derived from a pair of biorthogonal refinable functions using the standard technique in multiresolution analysis. In this paper, we introduce the concept of projectable refinable functions and demonstrate that many multivariate refinable functions are projectable; that is, they essentially carry the tensor product (separable) structure though themselves may be nontensor product (nonseparable) refinable functions. For any pair of biorthogonal refinable functions(φ,φd) in L2(R s ), when the refinable functionφ is projectable, we prove that without loss of several desirable properties such as spatial localization, smoothness and approximation order, from the pair of biorthogonal refinable functions (φ,φd), we can easily obtain another pair of biorthogonal refinable functions in L2(R s ) which are tensor product separable refinable functions. As an application, we show that there is no dual refinable function φd to the refinable basis function in the Loop scheme such that φd can be supported on [−4,4]2.  2002 Elsevier Science (USA). All rights reserved.
An investigation on the humping ferro-damp induced under non-uniform magnetic field density

Under non-uniform magnetic field distribution, the humping ferro-damp used to reduce the oscillation of ferro-wave is investigated. Through experimental observation and analytic analysis, the dynamical stability at the so called “humping pool”, enclosed by both centers of permanent magnetisms, is found to be closely dependent on the oscillating frequency, field intensity & the separated distance of magnetisms. Though nodal shift of pool 0.07~0.11 cm, recorded from video-camera suited on self-designed oscillating system, begins to occur as in the deployment of higher ferro-level or lower field strength 0~ 30 mT, however such the stable response of humping pool, without remarkable change of vibrating amplitude 0.03 ~0.06 cm, might be under control while oscillating frequency of 0.5~2 Hz is subjected. That could be attributed to the concentrated ferro-viscosity as well as the strongest ferro-magnetization, induced at the humps, initiates a recovering constrain for oscillating pool. Unlike above humping damp accessed, an irregular and random ferro-profile will be generated outside pool region. Such humping deployment, as a manner of shockproof, might be utilized to reduce the seismic damage and that makes damping analysis of seismic study become more practical and approach to the intended demand.
An Efficient Deep Learning Model for Olive Diseases Detection

Worldwide, plant diseases adversely influence both the quality and quantity of crop production. Thus, the early detection of such diseases proves efficient in enhancing the crop quality and reducing the production loss. However, the detection of plant diseases either via the farmers' naked eyes or their traditional tools or even within laboratories is still an error prone and time consuming process. The current paper presents a Deep Learning (DL) model with a view to developing an efficient detector of olive diseases. The proposed model is distinguishable from others in a number of novelties. It utilizes an efficient parameterized transfer learning model, a smart data augmentation with balanced number of images in every category, and it functions in more complex environments with enlarged and enhanced dataset. In contrast to the lately developed state-of-art methods, the results show that our proposed method achieves higher measurements in terms of accuracy, precision, recall, and F1-Measure.
Chapter 3 Soft Decision and Quantised Soft Decision Decoding 3 . 1

The use of hard decision decoding results in a decoding loss compared to soft decision decoding. There are several references that have quantified the losswhich is a function of the operating Eb N0 ratio, the error-correcting code and the quantisation of the soft decisions. Wozencraft and Jacobs [6] give a detailed analysis of the effects of soft decision quantisation on the probability of decoding error,Pec, for the ensemble of all binary codes of length n without restriction of the choice of code. Their analysis follows from theCoding Theorem, presented byGallager for the ensemble of random binary codes [3].
Formula Student Racing Championship: Design and implementation of an automatic localization and trajectory tracking system

The aim of the IST Formula Student Project consists in designing and implementing a low budget car with limited resources, to compete with similar cars from other universities. The objective of the presented project is to design and implement an automatic location and trajectory tracking system to equip the car and understand the relation between the position of the car and the values acquired from the other sensors. The position obtained by the Global Positioning System (GPS) will be adjusted to the track and it will be represented in the pit-stop screen. The aim of the system is divided in two main targets: georeferencing the car’s data that is: collected by several sensors, and tracking the car and represent its position in the circuit drawn in the pit-stop screen. Besides these two objectives, the system can be divided in two parts: one that consists in a GPS module connected to the communication system located at the car; and another one in the base station (at the pit-stops) where the data will be processed, analyzed and represented.
ON TALKING HEADS, SOCIAL ROBOTS AND WHAT THEY CAN TEACH US

This paper discusses how animated talking heads and physical social robots can beneﬁt investigations into human spoken communication. It gives an overview of a series of experiments carried out in our group in recent years that highlight how these types of technologies can serve as a tools for controlled experiments in phonetics sciences in order to investigate aspects in visual speech perception and face-to-face interaction. It also discusses the role of agent embodiment, both in terms of how physical situatedness inﬂuences perception and interaction, and how different robot/avatar embodiments (e.g. head-only vs full-body humanoid) inﬂuence the expressivity and suggests how such effects may be studied and compensated for using stylized or exaggerated motions.
harvested food customs and their influences on valuable functioning of alaska native elders

Valuable functioning, an empowered quality of life evident in Alaska Native communities, is influenced at least in part by a lifestyle dependent on fish, game, and plants harvested by the consumer. Elders play important roles in the transmission of knowledge and skills necessary for continuation of food harvesting customs, and through this process, elders feel valued and obtain quality of life. This paper examines how elders view their roles. Communities based on harvested foods have similar food cultural experiences even though land, location, language and tribal entities are different. The proposed model of food culture illustrates eight key constructs. Traditional Native foods are central and appear to be predicated on continued use, access, and participation in the procurement. The communities’ continued inclusion of older adults is viewed as an indication of respect for elders and links villages to experiences of the past and provides a vehicle for the elders’ achievement of valuable functioning, a component of quality of life. keywords: Alaska Native older adults, elders, health, diet, subsistence, food customs
Medical Laboratory Manual for Tropical Countries. Vol. II.

medical laboratory manual for tropical countries volume. Book lovers, when you need a new book to read, find the book here. Never worry not to find what you need. Is the medical laboratory manual for tropical countries volume your needed book now? That's true; you are really a good reader. This is a perfect book that comes from great author to share with you. The book offers the best experience and lesson to take, not only take, but also learn.
A Low-Cost Integrated System for Indoor and Outdoor Navigation of Miniature UAVs

This paper presents an hardware device and associated algor ithms for the navigation of miniature rotorcraft-based Unmanned Aerial Vehicles (UAVs). Unlike many studies that focus on navigation solutions adapted to o ne single type of mission and environment, the proposed approach aims at simulta neously dealing with indoor and outdoor missions, as well as being robust to senso rs’ loss and/or faulty measurements. An hardware device with low-cost sensors is p esented as well as algorithms that are used to estimate online the vehicle’s stat e composed of its position, attitude and velocities. This estimation architecture, ba sed on complementary and Kalman filters, enables measurement selection and fusion fr om different sensors, depending on the current environment (indoor or outdoor). Alg orithms are described and simulation results are provided to illustrate and compa re the performance of the proposed approach.
Mathematical Model of a Synchronous Machine under Complicated Fault Conditions

This paper presents a mathematical model of a synchronous machine when a complicated fault occurs in the external network. The equations of stator and rotor circuits are written in space vector using Clarke’s transformation. The equations are subjected to mathematical manipulations based on phasor concepts, and series expansion of algebraic and differential equations, neglecting high order harmonics, in order to obtain a final model of the machine. This model of the machine is an appropriate one to obtain the negative sequence impedance of the synchronous machine.
Optimization of Herbicide Use: Study on Spreading and Evaporation Characteristics of Glyphosate-Organic Silicone Mixture Droplets on Weed Leaves

Herbicide deposition rate can be affected by the leaf surface features of weeds and have a significant impact on the overall efficacy. In this paper, an orthogonal experiment was conducted to investigate the differences of droplet evaporation and spreading characteristics corresponding to weed leaf surface with hairy, waxy and rough (ridged) structures. Three weed species—Descurainia sophia, Lepidium lotifolium, and Lolium temulentum—were included in the study, representing these three leaf structures respectively. Glyphosate sprays with organic silicone surfactant in different concentrations were composed for the test. Single droplets with two diameters of 0.05 μL and 0.1 μL were deposited on the leaves to evaluate the evaporation and spreading characteristics. A digital camera was used and the evaporation duration and the maximum droplet coverage images could be captured and extracted from the recorded videos. The Image Processing Toolbox in Matlab was applied to segment the images for droplet and leaf background and the binary images’ pixel numbers were counted for coverage area calculation. The results revealed that the evaporation duration was reduced with the increase of the organic silicone concentration, while the spread area was expanded. The droplet spread more widely and evaporated faster on D. sophia leaves than on the leaves with L. lotifolium and L. temulentum surfaces. The spreading area and evaporation duration varied much faster on L. lotifolium leaves than on the leaves of other weed species. The droplet sizes affected spreading more significantly on L. temulentum leaf surface, as the spreading procedure of small size droplets was restrained by the groove structure. The results of this study would benefit the consideration of the farmers when selecting the proper nozzle code and the determining of the surfactant mixture in order to optimize the use of herbicides like glyphosate.
Trilactic Glyceride Benefits Intestinal Function of Weaned Piglets

Both lactic acid and short chain fatty acid (SCFA) play important roles in maintenance of intestinal epithelial structure and function. Trilactic glyceride (TLG) obtains both excellences of lactic acid and SCFA. This study was to investigate the effects of trilactic glyceride on growth performance, blood parameters, liver function, intestinal morphology and intestine function of piglets. Twelve weaned piglets (21±2 d) were randomly allocated to two treatment groups: 1) control group, piglets fed the basal diet; 2) TLG group, piglets fed the basal diet supplemented with 0.5 % TLG. On day 21 of the trial, D-xylose (0.1 g/kg·BW) was orally administrated to all piglets and blood samples were collected 1 h thereafter. Then, all the piglets were sacrificed to examine intestinal mucosal morphology and collect fatty tissue, liver and intestinal mucosa for further analysis. The results showed that: compared with the control group, TLG group decreased blood ALB and GGT on day 10 and 20, TLG group decreased blood TP and increased blood TG on day 20 of the trail (p < 0.05); TLG group decreased blood D-xylose and LDL, increased blood HDL (p < 0.05). These data suggested that supplementing trilactic glyceride had beneficial impacts on promoting nutrients’ metabolism, maintaining intestinal integrity, and alleviating oxidative stress and diarrhoea. Further research of molecular mechanisms showed changing expression levels of related proteins and genes, suggesting that these could be involved in the regulation of the impact. The community composition of the gut microbiota was also found to be altered in several operational taxonomic units within the genus, Prevotella (order Bacteroidales), and the order, Clostridiales.
Changing Professionalism Tutor With TPACK Model Based On Interactive Learning Simulation (ILS) Of Greenhouse Concept

Experiment research aimed to find out how changing professionalism tutor with TPACK (Technological, Pedagogical, Content Knowledge) model based on Interactive Learning Simulation (ILS) of concept Greenhouse of the 21st century is the research subject tutor activity of the Teaching and Learning Centre (CLC), tutors were selected randomly as much as 7 out of every CLC. The Tutor after the implementation of this model shows that the model TPACK has a positive impact on the quality of the learning process. In detail the impact of the implementation of the model TPACK it is (1) increased knowledge of the subject matter better; (2) Tutor-Tutor is able to plan the learning process to encourage participants to be more active Tutor; (3) Tutor skill in conducting the learning process CLC changed for the better; (4) Tutor efficacy in performing the learning process increases CLC better.
A TIME-TO-EVENT ANALYSIS OF AUDITORY LEXICAL DECISION LATENCIES

We report the results of an analysis of the auditory lexical decision latencies in the Massive Au-ditory Lexical Decision database ( MALD ) [9] us-ing a statistical technique for time-to-event analysis: the piece-wise exponential additive mixed models ( PAMM ) [2, 1, 3]. The PAMM models the probability of an instantaneous response at each point in time, rather than the response times themselves. The analysis revealed an increased instantaneous probability of a response for high frequency words, as well as for words from sparse phonological neighborhoods. These effects were most prominent during the early stages of the decision making process, but remained signiﬁcant throughout large parts of the response window. Furthermore, we observed a more transient early effect of the temporal distance to the uniqueness point. The PAMM analysis of the MALD data thus provides more insight into the temporal dynamics of lexical processing in the auditory lexical decision task.
Non-and Semi-parametric Testing of U-shaped Relationships

Many theories in Economics predict U -shaped relationships between variables but few tools exist to explore them in data. I propose nonand semi-parametric tests of U -shaped regression functions based on critical bandwidth, first introduced by Silverman (1981). The essence of the test is an extension of Bowman et al. (1998), which considers a test of regression monotonicity based on critical bandwidth. These tests are known to be inconsistent for certain types of regression functions. This paper considers an improvement based on adaptive bandwidth that leads to consistency in such cases. Existing tests of critical bandwidth do not extend in a practical way to multivariate hypotheses. The tests in this paper are extended to work in generalized additive models, which allows investigation of whether there is an inherent U -shape between two variables or if the relationship is actually caused by correlation with other variables. I give sufficient conditions for consistency of the test statistic and show that the rate of convergence under the null is at least as fast as any bandwidth sequence leading to pointwise-consistent estimates of the regression function. In a future draft, I apply the tests to explore the theorized U shapes of life satisfaction in age and cardiovascular health in alcohol consumption.
Photorealistic Material Editing Through Direct Image Manipulation Supplementary material

Q: What training data was used for the neural renderer and the inversion network(s)? A: The training set for the neural renderer is equivalent to the one used in Gaussian Material Synthesis [Zsolnai-Fehér et al. 2018]. Our inversion networks are formulated as the adjoint of this neural renderer, and hence, one of their key advantage is that they can be trained on the same dataset by swapping the inputs and outputs and applying the appropriate architectural changes discussed in the paper.
Random Matrix Analysis of Cross-correlation in Energy Market of Shanxi , China

Energy is essential for social consumption and economic development. Different industries and sectors have different demand on the types of energy. This paper study the correlation evolution of energy price using Pearson’s correlation coefficient (PCC) in Shanxi province for the data from January 2014 to October 2015. Several fossil fuels (thermal coal, anthracite coal, blowing coal, coking coal, diesel oil, gasoline oil) are selected typically. Then, combined the empirical cross-correlation matrix with the random matrix theory (RMT), we mainly examine the statistical properties of cross-correlation coefficient, the evolution of average correlation coefficient, the distribution of eigenvalues and corresponding eigenvectors. The investigation is a way to understand the correlation structure of Shanxi energy market. The result indicated that the selected six kinds of energy are correlated. What’s more, the correlation are influenced by domestic market policy and international energy market.