Miracle-dz/UniFAR-FTUs huggingface dataset:
Title State Ownership and Product Innovation in China : An IntegratedView of Institutional and Efficiency Logics

Does state ownership benefit or impede firm innovation? Extant studies offer contradicting perspectives and inconsistent empirical findings regarding this issue. This study develops an integrated view of institutional and efficiency logics by proposing that whereas state ownership enables a firm to obtain R&D resources, it makes the firm less efficient in utilizing the resources to generate innovation. The results of two longitudinal panel datasets of Chinese manufacturing firms show that state ownership positively affects R&D input; however, it also weakens the effect of R&D input on innovation output, making a minority state ownership optimal for innovation development. Moreover, the efficiency problem of state ownership of transforming R&D input into innovation output decreases when industrial competition is high, as well as for start-ups. We discuss the implications of these findings for research of state ownership and firm innovation in emerging economies.
New Unifi ed Computational Algorithm in a High-Order Asymptotic Expansion Scheme

An asymptotic expansion scheme in finance initiated by Kunitomo and Takahashi [6] and Yoshida [29] is a widely applicable methodology for analytic approximation of the expectation of a certain functional of diffusion processes. Mathematically, this methodology is justified by Watanabe theory ([27]) in Malliavin calculus. In practical applications, it is desirable to investigate the accuracy and stability of the method especially with expansion up to high orders in situations where the underlying processes are highly volatile as seen in the recent financial markets. Although Takahashi [17], [18] and Takahashi and Takehara [20] provided explicit formulas for the expansion up to the third order, to our best knowledge a general computation scheme for an arbitraryorder expansion has not been given yet. This paper proposes two general methods for computing the conditional expectations that are powerful especially for high order expansions: The first one, as an extension of the method introduced by the preceding papers, presents a unified scheme for computation of the conditional expectations. The second one develops a new calculation algorithm for computing the coefficients of the expansion through solving a system of ordinary differential equations that is equivalent to computing the conditional expectations. To demonstrate their effectiveness, the paper gives numerical examples of the approximation for Lambda-SABR model up to the fifth order and a cross-currency Libor market model with a general stochastic volatility model of the spot foreign exchange rate up to the fourth order.
MODELING, ANALYSIS, EVALUATION & SELECTION OF AN AGILE MANUFACTURING SYSTEM A thesis submitted in the partial fulfillment of the requirements for the award of degree of Master of Engineering in Production & Industrial Engineering

Agile manufacturing systems are rapidly increasing in number due to ever changing customer demands, shorter product life cycles, higher product variety, economy of production and highly competitive global market. Global competition has forced manufacturing companies to decrease response time (for changes in design, operation, failures etc.) and also reduce lead time to the market. Also, the product life cycle in case of many products has shortened considerably due to continuous advancement in manufacturing technology and variety of products present in the market. So, a manufacturer requires high response, lower lead times along with economical production and best quality. The principles of agile manufacturing fulfill these requirements very well with characteristics such as re-configurability, reusability and scalability. In this thesis work, an integrated systems model for the structure of the agile manufacturing system in terms of its constituents and interactions between the constituents is developed using graph theoretic approach. The different constituents and the interaction between the constituents are identified and have been represented by graph-based model. The information of the graph is converted into matrix form. The matrix models and the variable permanent function models are developed for carrying out decomposition, characterization, and the total analysis. The terms of permanent multinomial characterize the agile manufacturing system uniquely and are highly useful for computational storage, retrieval, communication, as well as analysis of the structural information of agile manufacturing system. To illustrate the effectiveness of the Graph Theoretical Approach, an illustrative example has also been presented. A new methodology has been developed for the evaluation, comparison, ranking and optimum selection of an agile manufacturing system from the different alternative designs available in the global market. This proposed methodology is based on Multi Attribute Decision Making (MADM) approach. Pertinent attributes which describe the whole agile manufacturing system are identified in an exhaustive way. A n-digit coding scheme based on all the pertinent attributes for a given agile manufacturing system is suggested, that is useful for the development of a comprehensive database of available agile manufacturing systems, and their subsequent retrieval. The agile manufacturing system selection procedure allows rapid convergence from a very large number of options to a manageable
With or without you: does partner satisfaction and partner-directed violence influence the presence of a partner on women’s Facebook cover profile photographs?

Social network sites (SNSs) provide new opportunities for online self-presentation of millions of users. The cover profile photograph (CPP) along with written information regarding relationship status is a central component of online self-presentation, although their associations with actual romantic relationships are not clear. We investigated relationships between the presence of a current romantic partner on the CPP and the displayed relationship status and partner satisfaction, partner-directed violence and women’s intrasexual competition with peers. A total of 28 % of the 158 women with a Facebook profile and being involved in a romantic relationship had their romantic partners on their CPP. As predicted, women with their partners on the CPP were more satisfied with their romantic relationship than others. Furthermore, women who did not have their partner on the CPP tended to conceal or lie in their displayed mating status suggesting that this may be a strategy how to attract another potential mate. The partner-directed violence and intrasexual competition hypotheses were not supported. Overall, the CPP and an honestly displayed relationship status is an expression of relationship satisfaction amongst women.
Development of an XML-based lab for remote control experiments on a servo motor

In this paper, an XML-based framework, known as RELATED, is used to build a remote lab for providing experience of control engineering on a servo motor using components distributed across the Internet. This new approach allows different groups to share their hardware and software resources and to facilitate the creation of networks of virtual/remote laboratories.
DIVERSITY OF MICROFUNGI ISOLATED FROM PLANTS AND LEAF LITTERS AT BUKIT UNIVERSITl MALAYSIA SABAH

This study was carried out to study the distribution patterns of microftmgi from plant leaves and to compare the diversity and abundance of endophytic micro fungi between fresh and senescent leaves. Five plant species were collected from Buldt VMS, namely Dillenia suffruticosa, Elaeocarpus sp. , Dioscorea sp. , Symplocos polyandra, and Begonia sp. , for the isolation of endophytic micro fungi. Surface sterilization method was being applied for both fresh and senescent. A total of 162 fungal endophyte isolates were documented. There were eight micro fungi genera and four unidentified species with 63 isolates from fresh leaves and 99 isolates from senescent leaves. Aspergillus was found to be the most abundant fungal genera, which constituted 27% of total isolates, followed by Fusarium and Penicillium, which constituted 23% of the total isolates respectively. There was only two isolates each of Phomopsis sp. and Pestalotiopsis sp. were recorded. Senescent leaves had a higher micro fungal abundance compared to fresh leaves. Shannon-Weiner diversity index also showed that senescent leaves had a higher diversity index, 2.897, compared to fresh leaves (2.414). Dioscorea sp. was reported to have the highest number of micro fungal isolates, which constituted 26% of the total number of isolates and the least was Dillenia suffruticosa, which constituted only 8.6% of total isolates. The fungal species was characterized according to morphological features.
A Gender Recognition Approach with an Embedded Preprocessing

Gender recognition from facial images has become an empirical aspect in present world. It is one of the main problems of computer vision and researches have been conducting on it. Though several techniques have been proposed, most of the techniques focused on facial images in controlled situation. But the problem arises when the classification is performed in uncontrolled conditions like high rate of noise, lack of illumination, etc. To overcome these problems, we propose a new gender recognition framework which first preprocess and enhances the input images using Adaptive Gama Correction with Weighting Distribution. We used Labeled Faces in the Wild (LFW) database for our experimental purpose which contains real life images of uncontrolled condition. For measuring the performance of our proposed method, we have used confusion matrix, precision, recall, F-measure, True Positive Rate (TPR), and False Positive Rate (FPR). In every case, our proposed framework performs superior over other existing state-of-the-art techniques.
Use of Non‐Normalized, Non‐Amplified cDNA for 454‐Based RNA Sequencing of Fleshy Melon Fruit

The melon (Cucumis melo L.) fruit is an important crop and model system for the genomic study of both fleshy fruit development and the Cucurbitaceae family. To obtain an accurate representation of the melon fruit transcriptome based on expressed sequence tag (EST) abundance in 454‐pyrosequencing data, we prepared double‐stranded complementary DNA (cDNA) of melon without the usual amplification and normalization steps. A purification step was also included to eliminate small fragments. Complementary DNAs were obtained from 14 individual fruit libraries derived from two genotypes, separated into flesh and peel tissues, and sampled throughout fruit development. Pyrosequencing was performed using Genome Sequencer FLX (GS FLX) technology, resulting in 1,215,359 reads, with mean length of >200 nucleotides. The global digital expression data was validated by comparative reverse transcription quantitative real‐time polymerase chain reaction (RT‐qPCR) of 40 selected genes and expression patterns were similar for the two methods. The results indicate that high‐quality, nonbiased cDNA for next‐generation sequencing can be prepared from mature, fleshy fruit, which are notorious for difficulties in ribonucleic acid (RNA) preparation.
Technical solutions to mitigate reliability challenges due to technology scaling of charge storage NVM

Charge storage nonvolatile memory (NVM) is one of the main driving forces in the evolution of IT handheld devices. Technology scaling of charge storage NVM has always been the strategy to achieve higher density NVM with lower cost per bit in order tomeet the persistent consumer demand for larger storage space. However, conventional technology scaling of charge storage NVM has run intomany critical reliability challenges related to fundamental device characteristics. Therefore, further technology scaling has to be supplemented with novel approaches in order to surmount these reliability issues to achieve desired reliability performance. This paper is focused on reviewing critical research findings on major reliability challenges and technical solutions to mitigate technology scaling challenges of charge storage NVM. Most of these technical solutions are still in research phase while a few of them are more mature and ready for production phase. Three of the mature technical solutions will be reviewed in detail, that is, tunnel oxide top/bottom nitridation, nanocrystal, and phase change memory (PCM). Key advantages and reported reliability challenges of these approaches are thoroughly reviewed in this paper. This paper will serve as a good reference to understand the future trend of innovative technical solutions to overcome the reliability challenges of charge storage NVM due to technology scaling.
Neighborhood density and word frequency in child German

High word frequency and neighborhood density contribute to the accuracy and speed of word production in English adults (e.g., Vitevitch & Sommers 2003), and characterize early words in child English (e.g., Storkel 2004). The present study investigated a speech corpus of child German (ages 2;00-3;00) to further the understanding of the influence of frequency and density on production. Results for four children suggest that, contrary to English, words produced early are not from denser neighborhoods in an adult lexicon than later words. As in English, frequent words are produced before less frequent words. Implications on theory and methodology are discussed.
Nano Silica and Silica Fume for Durability Improvement and It’s Impact on High Performance Concrete

The latest trend of concrete technology declared that concrete is not only needs strength but also durability. It is concurrently with the environmental issues that material durability is something that needs to be prioritized in its use. Various attempts have been made to produce concrete that has high durability. Many studies and experiments have been done partly by using admixtures of fly ash, and silica fume (FS). The latest development was the application of nano silica (NS) to improve the performance of concrete especially its durability. In this study, further experiments were done by using admixtures of nano silica with and without silica fume. The additives were applied to the concrete mix design of high performance concrete (HPC) with ƒ’c 100 MPa as a reference, then mixed with NS in a percentage of 3%, 5%, 10%, 15% with and without silica fume. Further compressive strength, and durability testing were done with a standard DIN 1045, and RCPT standard ASTM C 1202. The experimental results shown that the optimum admixtures proportion were the application of NS 5% and SF 5%, which given the best of concrete compressive strength and durability. Furthermore, the combination of the used of nano silica with silica fume is more effective than nano silica without silica fume. Keywords-Durability; silica fume; nano silica
Correlation between cloud condensation nuclei concentration and aerosol optical thickness in remote and polluted regions

Abstract. A large number of published and unpublished measurements of cloud condensation nuclei (CCN) concentrations and aerosol optical thickness (AOT) measurements have been analyzed. AOT measurements were obtained mostly from the AERONET network, and selected to be collocated as closely as possible to the CCN investigations. In remote marine regions, CCN0.4 (CCN at a supersaturation of 0.4%) are around 110 cm−3 and the mean AOT500 (AOT at 500 nm) is 0.057. Over remote continental areas, CCN are almost twice as abundant, while the mean AOT500 is ca. 0.075. (Sites dominated by desert dust plumes were excluded from this analysis.) Some, or maybe even most of this difference must be because even remote continental sites are in closer proximity to pollution sources than remote marine sites. This suggests that the difference between marine and continental levels must have been smaller before the advent of anthropogenic pollution. Over polluted marine and continental regions, the CCN concentrations are about one order of magnitude higher than over their remote counterparts, while AOT is about five times higher over polluted than over clean regions. The average CCN concentrations from all studies show a remarkable correlation to the corresponding AOT values, which can be expressed as a power law. This can be very useful for the parameterization of CCN concentrations in modeling studies, as it provides an easily measured proxy for this variable, which is difficult to measure directly. It also implies that, at least at large scales, the radiative and microphysical effects of aerosols on cloud physics are correlated and not free to vary fully independently. While the observed strong empirical correlation is remarkable, it must still be noted that there is about a factor-of-four range of CCN concentrations at a given AOT, and that there remains considerable room for improvement in remote sensing techniques for CCN abundance.
Position Estimation for People Waiting in Line Using Bluetooth Communication

Unpredictable wait time at such places as bus stops, banks, and amusement parks is likely to create frustration to people in line. So far, efforts have been focused on estimating and displaying the wait time of users or customers in line. In most cases, the time has been estimated by counting the number of people waiting in line. It is not cost-efficient, however, as the method requires human resources or installation of expensive equipment. Moreover, the method can only provide the wait time for the last person in line, and cannot deal with such problems as fluctuations caused by wait time due to the latency of service. Therefore, it is desirable to extract the wait time corresponding to each person’s position in line, without relying on human resources and equipment. This paper proposes a position estimation method based on the relative positions of users in line, using mobile terminals and a position management server. The devices held by the users are classified into groups depending upon their positions. Specifically, the device at the front of the line detects other devices using Bluetooth communication, and then places them into a second group. In the same way, devices in the second group detect the following devices and assign them to a third group. When this process has been repeated, the relative positions of terminals are identified. In addition, the Received Signal Strength Indicator (RSSI) values are also collected from Bluetooth communication to restrict the number of devices in each group. While generating smaller, subdivision groups, the nearby devices are picked out from the closest ones having strong RSSI values. As a result of experiments, the terminal’s position has been estimated with an accuracy of 94.2% in a typical scenario. Keywords–Relative Positioning; Mobile Phone; Bluetooth; Location; Waiting in Line.
High-resolution Patterning Technologies using Ink-jet Printing and Laser Processing for Organic TFT Array

A 150 ppi organic thin film transistor (OTFT) array, which TFT have pixel circuit with two transistors and one capacitor was fabricated by printing methods and laser processing. TFT array pitch was 169 μm, a minimum width of the source electrode was 15 μm, channel length was 5 μm, and a diameter of via hole was about 20 μm. We have developed the surface energy controlled ink-jet printing with UV irradiation for fine Ag electrodes and the conventional ink-jet printing for organic semiconductor (OSC), and laser processing for Via hole.
REAL TIME FACE RECOGNITION SYSTEM USING EIGEN FACES

Face recognition have been fast growing, challenging and interesting area in real-time applications. A large number of face recognition algorithms have been developed from decades. The present paper primarily focuses on principal component analysis, for the analysis, the software is implemented using Matlab and C#. net This face recognition system detects the faces in a picture taken by web-cam, and these face images are then checked with training image dataset based on Eigen features. Eigen features are used to characterize images.
GaN-based high-temperature and radiation-hard electronics for harsh environments

We develop novel GaN-based high temperature and radiation-hard electronics to realize data acquisition electronics and transmitters suitable for operations in harsh planetary environments. In this paper, we discuss our research on AlGaN/GaN metal-oxide-semiconductor (MOS) transistors that are targeted for 500 °C operation and >2 Mrad radiation hardness. For the target device performance, we develop Schottky-free AlGaN/GaN MOS transistors, where a gate electrode is processed in a MOS layout using an Al2O3 gate dielectric layer. The AlGaN/GaN MOS transistors fabricated with the wide-bandgap gate oxide layer enable Schottky-free gate electrodes, resulting in a much reduced gate leakage current and an improved sub-threshold current than the current AlGaN/GaN field effect transistors. In this study, characterization of our AlGaN/GaN MOS transistors is carried out over the temperature range of 25°C to 500°C. The Ids- Vgs and Ids-Vds curves measured as a function of temperature show an excellent pinch-off behavior up to 450°C. Off-state degradation is not observed up to 400 °C, but it becomes measurable at 450 °C. The off-state current is increased at 500 °C due to the gate leakage current, and the AlGaN/GaN MOS HEMT does not get pinched-off completely. Radiation hardness testing of the AlGaN/GaN MOS transistors is performed using a 50 MeV 60Co gamma source to explore effects of TID (total ion dose). Excellent Ids-Vgs and Ids-Vds characteristics are measured even after exposures to a TID of 2Mrad. A slight decrease of saturation current (ΔIdss~3 mA/mm) is observed due to the 2Mrad irradiation.
Revision of Precambrian stratigraphy in the Prescott-Jerome area, Yavapai County, Arizona

_________________________________________________________ Cl Introduction. _____________________________________________________ 1 Ash Creek Group. ________________________________________________ 3 Big Bug Group_-__------_---_------_-_-_-------------_--_-_---__7 Chaparral Volcanics-__________________________________________ 8 Green Gulch Volcanics. ________________________________________ 8 Texas Gulch Formation. ___________________________________________ 10 Brady Butte Granodiorite_-___---______--___-___--__--__--___--_-_11 Isotopic studies. __________________________________________________ 12 Abandonment of name Alder Group in this area ______________________ 14 Yavapai Series. ___-_-___-_--_-______-_-__--__-___--______----_-_15 References _______________________________________________________ 16
Assigning Real-Time Tasks on Heterogeneous Multiprocessors with Two Types of Processors

Consider the problem of scheduling a set of implicit deadline sporadic tasks on a heterogeneous multiprocessor so as to meet all deadlines. Tasks cannot migrate and the platform is restricted in that each processor is either of type-1 or type-2 (with each task characterized by a different speed of execution upon each type of processor). We present an algorithm for this problem with a time complexity of O(n*m), where n is the number of tasks and m is the number of processors. It offers the guarantee that if a task set can be scheduled by any non-migrative algorithm to meet deadlines then our algorithm meets deadlines as well if given processors twice as fast. Although this result is proven for only a restricted heterogeneous multiprocessor, we consider it significant for being the first realtime scheduling algorithm to use a lowcomplexity binpacking approach to schedule tasks on a heterogeneous multiprocessor with provably good performance. Assigning Real-Time Tasks on Heterogeneous Multiprocessors with Two Types of Processors Bjorn Andersson and Konstantinos Bletsas IPP-HURRAY Research Group, CISTER/ISEP, Polytechnic Institute of Porto Rua Dr. Antonio Bernardino de Almeida 431, 4200-072 Porto, Portugal bandersson@dei.isep.ipp.pt, ksbs@isep.ipp.pt