Miracle-dz/UniFAR-FTUs huggingface dataset:
Early Developmental Stages of Homalothecium sericeum ( Hew . ) Schimp ( Brachytheciaceae ) under in vitro Conditions

In this study, spore germination features, protonemal and gametophytic development stages of Homalothecium sericeum (Hew.) Schimp. had been investigated. Effects of plant growth regulators on colony size and number of gametophyte per colony were also studied. Spore germination is in exosporic type and dependent upon on light. The highest germination percentage is obtained in Distilled water exposed to 24 ± 2 °C and 16:8 photoperiod conditions. It is followed by 1/8 MS, 1⁄4 MS, 1⁄2 MS and full strength MS media. Inspite of observing the highest germination percentage in Distilled water, this was not used in the further experiments because of weak chloronemal development and no colonization has been observed. Among the MS media in four different strength, the best colonial growth was obtained in full strength MS medium. In terms of the level of colony growth, the MS medium was followed by the 1⁄2 MS medium. The 1⁄4 and 1/8 MS media inhibited the forward growth of protonemata. Sporelling type of H. sericeum is Bryum type due to spore germination and protonemal form with long cylindiric cells. Response to cytokinins in colonial growth and gametophyte differentiation was observed as abnormal bud formation. Auxine type and concentration effected colony size and number of gametophyte per colony. At the and of sixth months, maximum colony size and maximum number of gametophyte per colony has been held in MS medium containing 1mg/L IAA.
Technology Adoption of Podcast in Language Learning : Using Taiwan and China as Examples

Podcasting is one of mobile learning applications. This study reports the adoption of applying podcasting in language learning. The purpose of this research is to find the factors that will influence the acceptance of applying Podcasting in language learning. In order to attain a better understanding of mobile technology acceptance, we conducted a survey of Taiwan and Chinese. The target of the sample was limited to the people who have experience of using Podcast or using Podcast learning language. The data were collected from 398 people using Podcast applications on a voluntary basis in Taiwan and collected from 533 people using Podcast application on voluntary basis in China. The theoretical framework for this study is based on the revised Unified Theory of Acceptance and Use of Technology (UTAUT) model. Results indicate that performance expectancy, effort expectancy, social influence, and facilitating conditions will influence behavioral intention. The results of Taiwanese data indicate performance expectancy that has especially obviously, and the results of Chinese data indicate facilitating conditions that has especially obviously. In addition, with the moderating variables, gender, age and experiment, the results of Chinese data indicate that performance expectancy, effort expectancy, social influence and facilitating conditions have significant. But Taiwanese data indicated that effort expectancy has insignificant with the moderating variable, gender. And the findings can provide a high reference value and feasible theory to mobile learning of Podcast and the relative industries of Podcast.
A mathematical model for influence of physical exercises on psychophysiological adaptation of international students to learning performance at universities

The adaptation process itself is quite complicated and includes several types of adaptation: Physiological, individual psychological, social psychological, ethnopsychological, cultural, communicatory, and other types of adaptation. [1] These types of adaptation, especially at the initial stage of studying, manifest themselves simultaneously and represent serious obstacles in both informative and communicatory activity. Therefore, determining factors promoting the increase of efficiency and acceleration of adaptation processes of international students are an integral part of a solution to the problem of adaptation of this contingent of students.
REAL-TIME ROUGH EXTRACTION OF FOREGROUND OBJECTS IN MPEG 1 , 2 COMPRESSED VIDEO

This paper describes a new approach to extract foreground objects in MPEG1,2 video streams, in the framework of “rough indexing paradigm”, that is starting from rough data obtained by only partially decoding the compressed stream. In this approach we use both P-frame motion information and I-frame colour information to identify and extract foreground objects. The particularity of our approach with regards to the state of the art methods consists in a robust estimation of camera motion and its use for localisation of real objects and filtering of parasite zones. Secondly, a spatio-temporal filtering of roughly segmented objects at DC resolution is fulfilled using motion trajectory and gaussian-like shape characteristic function. This paradigm results in content description in real time, maintaining a good level of details.
Optimal Placement of Wind Farm on the Power System Topology

Wind farms can be used in domestic, community and smaller wind energy projects and these can be either stand-alone or grid-connected systems. The stand-alone systems are used to generate electricity for charging batteries to run small electrical applications, often in remote locations where connection to a main power supply is expensive or not physically possible. With grid-connected turbines, the output from the wind turbine is directly connected to the existing main electricity supply. This type of system can be used both for individual wind turbines and for wind farms exporting electricity to the electricity network. A grid-connected wind turbine can be a good proposition if consumption of electricity is high. In this paper, we formulated a wind farm in form of doubly-fed induction generator penetrating into an existing power system. An optimal placement of a wind farm on the power system topology is proposed aiming to minimize fuel and emission costs of the overall system. The multiobjective particle swarm optimization (MPSO) is used to minimize simultaneously fuel cost and emission of existing thermal units by changing location and varying sizes of new wind farm candidate. We employ IEEE 30-bus system to verify the proposed technique. The results show that the proposed method found the optimal position of the wind farm with minimum cost of fuel and environmental pollution.
About the Modeling of Radio Source Time Series as Linear Splines

Many of the time series of radio sources observed in geodetic VLBI show variations, caused mainly by changes in source structure. However, until now it has been common practice to consider source positions as invariant, or to exclude known misbehaving sources from the datum conditions. This may lead to a degradation of the estimated parameters, as unmodeled apparent source position variations can propagate to the other parameters through the least squares adjustment. In this paper we will introduce an automated algorithm capable of parameterizing the radio source coordinates as linear splines.
FPGA Implementation of Montgomery Modular Multiplier

Montgomery architectures of modular multipliers with one or two bits scanning are described in this paper. Multipliers have been described using hardware description language – VHDL, and implemented on FPGA integrated circuit EP4CE115F29C7. Comparative analysis of multiplier regarding minimum calculation time, maximum operating frequency and number of used logic elements of integrated circuit is given. Based on implemented modules, analysis of RSA module for data encryption is performed.
DETEKSI Helicobacter pylori DENGAN TEKNIK PCR DAN PROSPEK PELABELAN RADIOISOTOP UNTUK STUDI RESISTENSINYA TERHADAP OBAT

DETECTION OF Helicobacter pylori WITH PCR TECHNIQUE AND IMPLEMETATION OF P-LABELED DNA FOR STUDYING ITS RESISTANCE TO THE DRUG. Infection with Helicobacter pylori (H. pylori) could result in chronic gasthritis and may increases stomach cancer risk mainly H. pylori strains with the cag pathogenicity island (PAI). In this research, detection on the presence of H. pylori was done in 73 fresh gastric biopsies and 10 paraffin embedded tissues (slide) obtained from gasthritis patients who underwent endoscopic examination in RSCM Jakarta. Deoxyribonucleic acid (DNA) extract was amplified with polymerase chain reaction (PCR) for primer of colonization related genes such as cagA, ureA, ureC and 16S RNA gene. Four (5.47%) of 73 samples showed positive result for all genes examined except for ureA gene which were also positive for urease test, of which 2 other samples showed non-specific bands. It was predicted that this result was affected by the size of PCR product. No positive result for slide samples. This PCR examination was applicable but need to be supported by other tests such as urea breath test or serology. The resistance of this bacterium to drugs can be assessed by elucidating Plabeled DNA using 7.5% polyacrylamide gel. The alteration of mobility of DNA band amplified with a specific primer means that bacterium is suspected resistant to the drug. This labeling was relatively more sensitive than that of conventional labeling but it needs more intensive procedure.
ESP Key Concepts and Course Development

With the development of science and technology, the speed and coverage of information dissemination are more and more extensive, and with the deepening trend of globalization, the exchanges between countries become closer. Whether in depth or in breadth, the exchanges between countries are deepening. In the world, the most common way of communication is English. Whether it is international political exchanges, trade exchanges, or residents' tourism and cultural exchanges, English will basically be used as a common way of communication. It is in this era that ESP came into being. Based on this, this paper introduces the relevant overview of ESP's special-purpose English, and then analyzes the problems existing in the current ESP special-purpose English curriculum setting, and then gives suggestions for the reform of ESP-specific English based on professional needs. It is hoped that the content of the paper can give certain suggestions to the development of relevant courses in China, and improve the adaptability of Chinese students to the social use of ESP in English.
Calibration of a catchment-based land surface model in the Loire River basin ( France ) to assess hydrological impacts of climate change

This thesis contributes to the ICC-HYDROQUAL project whose aim is to investigate climate change impacts on water resources in the Loire River basin (around 110 000 km), one of France’s main river basins. This study uses the Catchment LSM (CLSM), a semi-distributed land surface model that describes the coupled water and energy budgets based on near-surface meteorology. The CLSM uses the concept of TOPMODEL to account for lateral water fluxes along topography and their influence on the small scale variability of soil moisture, runoff and evapotranspiration. The main purpose of this study was to calibrate the CLSM in the Loire basin (subdivided into 68 unit catchments). The performance of the CLSM was determined by comparing the simulated runoff to observed river discharge. To ensure that the model correctly captures the overall behavior of the basin, an independent evaluation of model performance was carried out, using the classical split-sample method. Additionally, a sensitivity analysis of the model to two soil parameters, the soil depth and the wilting point, was conducted and several interesting points were outlined, which could contribute to a better understanding of how the CLSM simulates the soil moisture control with respect to evapotranspiration.
The Influence of Leadership and Empowerment on Competency of Private Lecturers Kopertis Ix Sulawesi

Lecturers are professional educators and scientists with the primary task of transforming, developing and disseminating science, technology and the arts through education, research and community service. Therefore lecturer competence becomes endogenous variable of leadership and empowerment, while the three variables each have indicator. This study interviewed 200 lecturers of Kopertis IX Sulawesi who teach in Makassar. The result of this research is that leadership has no significant effect to the improvement of lecturers competence in Kopertis, but empowerment has a positive and very significant effect on the improvement of Kopertis lecturers' capability in Makassar. Keyword: Lecturers competence, Leadership and empowerment of lecturers in Makassar -------------------------------------------------------------------------------------------------------------------------------------Date of Submission: 26-08-2017 Date of acceptance: 13-09-2017 -------------------------------------------------------------------------------------------------------------------------------------
DEKADE : An Environment Supporting Development of NLP Systems

This paper describes ongoing work on the DEKADE (Development, Evaluation, Knowledge Acquisition, and Demonstration Environment) system and its components, the DekadeAPI, the DekadeServer, and the DekadeClient. DEKADE supports the development and operation of the natural language processing (NLP) system OntoSem, including its processors and static knowledge resources as well as applications that rely on OntoSem for their natural language processing needs
Synthesis of Character Behaviour by Dynamic Interaction of Synergies Learned from Motion Capture Data

Character animation ideally combines the competing requirements of high realism and flexible automatic generation of behaviour. A method for real-time human character animation is presented, which self-organizes character behaviour with high degrees of realism by dynamic coupling of ’synergies’ that are learned from motion capture data. Based on a new algorithm for blind source separation that considers time delays, highly compact generative models of body movements are learned from motion capture data. The learned components are mapped onto stable solutions of dynamical systems applying kernel methods, resulting in a coupled network of dynamic pattern generators whose state can be updated in real-time. This new framework is applied for crowd animation and the automatic generation of interactive behaviour for multiple characters.
Corporate Governance and Firm Performance : Evidence from Sri Lanka

This study has investigated the relationship between corporate governance and firm performance in Sri Lanka. Board Size, CEO duality, and proportion of nonexecutive directors are used as corporate governance variables and EPS, ROA, and ROE as measures of firm performance. Data are obtained from the annual reports of 100 listed companies in the Colombo Stock Exchange for the 2010-2012 financial years. Regression results indicate that board size is negatively associated with firm performance. This suggests that small boards are associated with higher firm performance, possibly through closely monitored management. Moreover, the results reveal that the separation of the two posts of CEO and chairman has a significant positive relationship with the firm performance. However, the presences of non-executive directors on the board are not associated with firm Performance of the listed companies in Sri Lanka.
Estimation of Production Time by Regression and Neural Networks

The estimation of production times will be the necessary future basis for cost estimation, cost reduction or TCE (Total Cost Estimation). An experienced process planner usually makes decisions based on comprehensive data without breaking it down into individual parameters. So, as the first phase it was necessary to establish a technological knowledge base, define features of the 2D drawing (independent variables), possible dependent variables, size and criteria for sample homogenization (principles of group technology) for carrying out analysis of variance and regression analysis. The second phase in the research was to investigate the possibility for easy automatic, direct finding and applying 3D features of an axial symmetric product to the regression model. The third phase in the research was to investigate the possibility for the application of neural networks in production time estimation and to compare the 224 results between the regression models and neural network models. The most important characteristic of our approach presented in this paper is estimation of production times using group technology, regression analysis and neural networks.
Phylogenetic position and description of a new species of subgenus Mus ( Rodentia , Mammalia ) from Thailand

119 Auffray, J.-C. , Orth, A. , Catalan, J., Gonzalez, J.-P., Desmarais, E. , & Bonhomme, F. (2003) Phylogenetic position and description of a new species of subgenus Mus (Rodentia, Mammalia) from Thailand. — Zoologica Scripta , 32 , 119–127. Molecular, chromosomal and morphometric analyses of wild-caught mice of subgenus Mus from the central plain of Thailand are presented. These specimens are distinct from all species previously described in the literature. This has led to the characterization of Mus fragilicauda sp. n. , a new member of the set of closely related species encompassed by the subgenus . While this species may be considered as a sibling and sympatric species of the Asian M. cervicolor , M. fragilicauda sp. n. is phylogenetically closer to the M. musculus complex of species and to the other European species of Mus . Jean-Christophe Auffray & Josette Catalan, Institut des Sciences de l’Evolution, UMR 5554 CNRS, CC064, Université Montpellier 2, 34095 Montpellier cedex, France. E-mail: auffray@isem.univ-montp2.fr. Annie Orth, Eric Desmarais & François Bonhomme, Laboratoire Génome, Populations, Interactions, UMR 5000 CNRS, CC063, Université Montpellier 2, 34095 Montpellier cedex 05, France. Jean-Paul Gonzalez, IRD, Research Center for Emerging Viral Diseases, CVD, Institute of Sciences and Technology for Development, Mahidol University at Salaya, 25/25 Phutthamonthon 4, Nakhonpathom 73170, Thailand Blackwell Science, Ltd Phylogenetic position and description of a new species of subgenus Mus (Rodentia, Mammalia) from Thailand
A Method Based on Wavelet Packet Decomposition and Memory Antibody Clone Hybrid Clustering for Diagnosis of Clinical Heart Disorders

In this study, a method based on wavelet packet (WP) decomposition and memory antibody clone hybrid clustering (MACHC) for diagnosis of clinical heart disorder (HD) is proposed. From considering the fact that the frequency ranges of the normal and heart diseases sound are different from each other, the wavelet packet decomposition (WPD) at level 4 is used to split the frequency bandwidths of the clinical heart sound (CHS) signals. And then the WP energy (WPE) with the frequency information through the range of CHS signals is calculated. WPEs at the terminal nodes from (4,0) to (4,11) are selected and two parameters maxWPE and minWPE are used as the features. Furthermore, the MACHC technique is employed as the identification tool to classify the normal sound and CHSs. Finally, the performances of this method are evaluated in 156 samples that contain 42 normal and 114 abnormal subjects for clinical HDs. The results show that this technique is useful and effective to detect CHSs. The validation of the proposed method is measured by using the sensitivity, specificity and accuracy parameters. Over 94.91% sensitivity, 100% specificity and 96.25% accuracy rate are obtained
Tackling Mobile Traffic Critical Path Analysis With Passive and Active Measurements

Critical Path Analysis (CPA) studies the delivery of webpages to identify page resources, their interrelations, as well as their impact on the page loading latency. Despite CPA being a generic methodology, its mechanisms have been applied only to browsers and web traffic, but those do not directly apply to study generic mobile apps. Likewise, web browsing represents only a small fraction of the overall mobile traffic. In this paper, we take a first step towards filling this gap by exploring how CPA can be performed for generic mobile applications. We propose Mobile Critical Path Analysis (MCPA), a methodology based on passive and active network measurements that is applicable to a broad set of apps to expose a fine-grained view of their traffic dynamics. We validate MCPA on popular apps across different categories and usage scenarios. We show that MCPA can identify user interactions with mobile apps only based on traffic monitoring, and the relevant network activities that are bottlenecks. Overall, we observe that apps spend 60% of time and 84% of bytes on critical traffic on average, corresponding to +22% time and +13% bytes than what observed for browsing.
emoji training heuristic for multi-class sentiment analysis on Twitter with a Multinomial Naive Bayes Classifier

Modern social media platforms largely rely on text. However, the written text lacks the emotional cues of spoken and face-to-face dialogue, ambiguities are common, which is exacerbated in the short, informal nature of many social media posts. Sarcasm represents the nuanced form of language that individuals state the opposite of what is implied. Sarcasm detection on social media is important for users to understand the underlying messages. The majority of existing sarcasm detection algorithms focus on text information; while emotion information expressed such as emojis are ignored. In real scenarios, emojis are widely used as emotion signals, which have great potentials to advance sarcasm detection. Therefore, in this paper, we study the novel problem of exploiting emojis for sarcasm detection on social media. We propose a new framework ESD, which simultaneously captures various signals from text and emojis for sarcasm detection. Experimental results on real-world datasets demonstrate the effectiveness of the proposed framework.
THEORIES OF CONSCIOUSNESS : HIGHER ORDER VERSUS INTEGRATION THEORIES

Route Map of the Chapter The main uses of the term consciousness are defined initially, in order to be clear about the domain we intend to address. The major theories of consciousness are then introduced, namely higher order theories and integration theories. The following section constitutes the bulk of the chapter, considering the evidence for unconscious mental states for different types of mental states, and how that evidence relates to the theories just discussed. First, unconscious memory is considered and the role it plays in perception, liking, and controlling our behaviour. Next subliminal perception is considered, and how it can shed light on attention, advertising, the neural correlates of consciousness, and how our action is controlled. Then we discuss implicit learning, that is, how unconscious knowledge of the structure of the environment can be acquired. Finally we discuss how intentions, desires and emotions can be unconscious. To conclude, we briefly indicate how the difference in properties between conscious and unconscious states can be used to determine the function of consciousness.
Application of social media as a marketing promotion tool — A review

Social media is the buzz word of the market. Marketing and promotion is solely relying upon social media which was a sideline media during its effective inception a decade back. Print media and television media lost its relevance to social media, because of many factors including cost effectiveness and wider reach. Almost all fields have adopted Social media for its effective and efficient working. Social media effectiveness is mostly used in all demographic segments as the new age millennial cannot be isolated from social media. Social media is being adopted by various fields. This paper attempts to review the literature of the application of social media for marketing promotion. This study not only provides the evidence that the promotion through social media is better than the traditional promotion approach, but also helps firms to understand the essential driver for adaptation of social media for their marketing promotion strategies. The paper concludes with the future path of social media marketing.